Overview

Dataset statistics

Number of variables342
Number of observations144
Missing cells2468
Missing cells (%)5.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory432.8 KiB
Average record size in memory3.0 KiB

Variable types

DateTime1
Numeric206
Categorical132
Unsupported3

Dataset

Description새만금유역 수위계측정보(가력도, 신시도,동진대교 수위정보-일별/분단위/최대/최소/평균/표준편차 등)
Author한국농어촌공사
URLhttps://data.mafra.go.kr/opendata/data/indexOpenDataDetail.do?data_id=20170918000000000846

Alerts

2016-01-22 is highly imbalanced (50.1%)Imbalance
2016-02-07 is highly imbalanced (69.0%)Imbalance
2016-04-04 is highly imbalanced (53.4%)Imbalance
2016-01-01 has 64 (44.4%) missing valuesMissing
2016-01-28 has 31 (21.5%) missing valuesMissing
2016-02-15 has 6 (4.2%) missing valuesMissing
2016-02-16 has 52 (36.1%) missing valuesMissing
2016-02-20 has 16 (11.1%) missing valuesMissing
2016-02-21 has 144 (100.0%) missing valuesMissing
2016-02-22 has 144 (100.0%) missing valuesMissing
2016-02-23 has 56 (38.9%) missing valuesMissing
2016-03-21 has 27 (18.8%) missing valuesMissing
2016-04-07 has 7 (4.9%) missing valuesMissing
2016-04-25 has 10 (6.9%) missing valuesMissing
2016-04-26 has 30 (20.8%) missing valuesMissing
2016-05-03 has 45 (31.2%) missing valuesMissing
2016-05-10 has 5 (3.5%) missing valuesMissing
2016-05-11 has 25 (17.4%) missing valuesMissing
2016-05-16 has 19 (13.2%) missing valuesMissing
2016-05-22 has 50 (34.7%) missing valuesMissing
2016-05-23 has 38 (26.4%) missing valuesMissing
2016-05-26 has 42 (29.2%) missing valuesMissing
2016-06-07 has 5 (3.5%) missing valuesMissing
2016-07-02 has 24 (16.7%) missing valuesMissing
2016-07-06 has 4 (2.8%) missing valuesMissing
2016-07-16 has 18 (12.5%) missing valuesMissing
2016-07-21 has 96 (66.7%) missing valuesMissing
2016-07-22 has 64 (44.4%) missing valuesMissing
2016-07-23 has 51 (35.4%) missing valuesMissing
2016-08-02 has 55 (38.2%) missing valuesMissing
2016-08-03 has 37 (25.7%) missing valuesMissing
2016-08-06 has 41 (28.5%) missing valuesMissing
2016-08-07 has 94 (65.3%) missing valuesMissing
2016-08-08 has 39 (27.1%) missing valuesMissing
2016-08-18 has 65 (45.1%) missing valuesMissing
2016-08-21 has 3 (2.1%) missing valuesMissing
2016-08-23 has 3 (2.1%) missing valuesMissing
2016-08-24 has 34 (23.6%) missing valuesMissing
2016-08-25 has 30 (20.8%) missing valuesMissing
2016-08-27 has 2 (1.4%) missing valuesMissing
2016-08-31 has 88 (61.1%) missing valuesMissing
2016-09-01 has 144 (100.0%) missing valuesMissing
2016-09-02 has 55 (38.2%) missing valuesMissing
2016-09-03 has 52 (36.1%) missing valuesMissing
2016-09-04 has 68 (47.2%) missing valuesMissing
2016-09-06 has 35 (24.3%) missing valuesMissing
2016-09-07 has 74 (51.4%) missing valuesMissing
2016-11-01 has 14 (9.7%) missing valuesMissing
2016-11-02 has 78 (54.2%) missing valuesMissing
2016-11-16 has 29 (20.1%) missing valuesMissing
2016-11-17 has 61 (42.4%) missing valuesMissing
2016-11-18 has 73 (50.7%) missing valuesMissing
2016-11-19 has 55 (38.2%) missing valuesMissing
2016-11-20 has 80 (55.6%) missing valuesMissing
2016-12-06 has 84 (58.3%) missing valuesMissing
계측일자 has unique valuesUnique
2016-02-21 is an unsupported type, check if it needs cleaning or further analysisUnsupported
2016-02-22 is an unsupported type, check if it needs cleaning or further analysisUnsupported
2016-09-01 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-11 03:21:25.015161
Analysis finished2023-12-11 03:21:28.234202
Duration3.22 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

계측일자
Date

UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2023-12-11 00:00:00
Maximum2023-12-11 23:50:00
2023-12-11T12:21:28.319798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T12:21:28.529976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

2016-01-01
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)15.0%
Missing64
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean-1.60825
Minimum-1.64
Maximum-1.52
Zeros0
Zeros (%)0.0%
Negative80
Negative (%)55.6%
Memory size1.4 KiB
2023-12-11T12:21:28.694352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.64
5-th percentile-1.64
Q1-1.63
median-1.62
Q3-1.62
95-th percentile-1.5295
Maximum-1.52
Range0.12
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.03665698
Coefficient of variation (CV)-0.022793086
Kurtosis0.86761889
Mean-1.60825
Median Absolute Deviation (MAD)0.01
Skewness1.5314176
Sum-128.66
Variance0.0013437342
MonotonicityNot monotonic
2023-12-11T12:21:28.853800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-1.62 34
23.6%
-1.63 17
 
11.8%
-1.64 11
 
7.6%
-1.53 6
 
4.2%
-1.52 4
 
2.8%
-1.57 2
 
1.4%
-1.54 1
 
0.7%
-1.55 1
 
0.7%
-1.56 1
 
0.7%
-1.58 1
 
0.7%
Other values (2) 2
 
1.4%
(Missing) 64
44.4%
ValueCountFrequency (%)
-1.64 11
 
7.6%
-1.63 17
11.8%
-1.62 34
23.6%
-1.61 1
 
0.7%
-1.59 1
 
0.7%
-1.58 1
 
0.7%
-1.57 2
 
1.4%
-1.56 1
 
0.7%
-1.55 1
 
0.7%
-1.54 1
 
0.7%
ValueCountFrequency (%)
-1.52 4
 
2.8%
-1.53 6
 
4.2%
-1.54 1
 
0.7%
-1.55 1
 
0.7%
-1.56 1
 
0.7%
-1.57 2
 
1.4%
-1.58 1
 
0.7%
-1.59 1
 
0.7%
-1.61 1
 
0.7%
-1.62 34
23.6%

2016-01-02
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.62
113 
-1.61
31 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.62
2nd row-1.62
3rd row-1.62
4th row-1.62
5th row-1.62

Common Values

ValueCountFrequency (%)
-1.62 113
78.5%
-1.61 31
 
21.5%

Length

2023-12-11T12:21:29.020388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:29.155948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.62 113
78.5%
1.61 31
 
21.5%

2016-01-03
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.61
113 
-1.62
28 
-1.6
 
3

Length

Max length5
Median length5
Mean length4.9791667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.61
2nd row-1.61
3rd row-1.62
4th row-1.62
5th row-1.62

Common Values

ValueCountFrequency (%)
-1.61 113
78.5%
-1.62 28
 
19.4%
-1.6 3
 
2.1%

Length

2023-12-11T12:21:29.284691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:29.403958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.61 113
78.5%
1.62 28
 
19.4%
1.6 3
 
2.1%

2016-01-04
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.61
81 
-1.62
28 
-1.6
20 
<NA>
15 

Length

Max length5
Median length5
Mean length4.7569444
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.6
2nd row-1.61
3rd row-1.61
4th row-1.61
5th row-1.61

Common Values

ValueCountFrequency (%)
-1.61 81
56.2%
-1.62 28
 
19.4%
-1.6 20
 
13.9%
<NA> 15
 
10.4%

Length

2023-12-11T12:21:29.542464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:29.675158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.61 81
56.2%
1.62 28
 
19.4%
1.6 20
 
13.9%
na 15
 
10.4%

2016-01-05
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.59
67 
<NA>
52 
-1.58
13 
-1.6
12 

Length

Max length5
Median length5
Mean length4.5555556
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
-1.59 67
46.5%
<NA> 52
36.1%
-1.58 13
 
9.0%
-1.6 12
 
8.3%

Length

2023-12-11T12:21:29.801428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:29.940807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.59 67
46.5%
na 52
36.1%
1.58 13
 
9.0%
1.6 12
 
8.3%

2016-01-06
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.58
75 
-1.59
47 
<NA>
22 

Length

Max length5
Median length5
Mean length4.8472222
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.59
2nd row-1.59
3rd row-1.59
4th row-1.59
5th row-1.59

Common Values

ValueCountFrequency (%)
-1.58 75
52.1%
-1.59 47
32.6%
<NA> 22
 
15.3%

Length

2023-12-11T12:21:30.079050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:30.256737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.58 75
52.1%
1.59 47
32.6%
na 22
 
15.3%

2016-01-07
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.58
101 
-1.59
29 
-1.57
14 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.58
2nd row-1.58
3rd row-1.58
4th row-1.58
5th row-1.58

Common Values

ValueCountFrequency (%)
-1.58 101
70.1%
-1.59 29
 
20.1%
-1.57 14
 
9.7%

Length

2023-12-11T12:21:30.378825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:30.510426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.58 101
70.1%
1.59 29
 
20.1%
1.57 14
 
9.7%

2016-01-08
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.57
110 
<NA>
25 
-1.56
 
7
-1.58
 
2

Length

Max length5
Median length5
Mean length4.8263889
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.57
2nd row-1.57
3rd row-1.57
4th row-1.57
5th row-1.57

Common Values

ValueCountFrequency (%)
-1.57 110
76.4%
<NA> 25
 
17.4%
-1.56 7
 
4.9%
-1.58 2
 
1.4%

Length

2023-12-11T12:21:30.645311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:30.744368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.57 110
76.4%
na 25
 
17.4%
1.56 7
 
4.9%
1.58 2
 
1.4%

2016-01-09
Real number (ℝ)

Distinct29
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5992361
Minimum-1.87
Maximum-1.53
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:30.844033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.87
5-th percentile-1.82
Q1-1.57
median-1.56
Q3-1.56
95-th percentile-1.5415
Maximum-1.53
Range0.34
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.08573891
Coefficient of variation (CV)-0.053612415
Kurtosis2.8637472
Mean-1.5992361
Median Absolute Deviation (MAD)0
Skewness-2.0486451
Sum-230.29
Variance0.0073511606
MonotonicityNot monotonic
2023-12-11T12:21:30.951031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
-1.56 75
52.1%
-1.57 18
 
12.5%
-1.55 8
 
5.6%
-1.54 7
 
4.9%
-1.58 3
 
2.1%
-1.73 2
 
1.4%
-1.87 2
 
1.4%
-1.82 2
 
1.4%
-1.78 2
 
1.4%
-1.76 2
 
1.4%
Other values (19) 23
 
16.0%
ValueCountFrequency (%)
-1.87 2
1.4%
-1.86 1
0.7%
-1.85 2
1.4%
-1.84 1
0.7%
-1.83 1
0.7%
-1.82 2
1.4%
-1.81 1
0.7%
-1.8 1
0.7%
-1.79 1
0.7%
-1.78 2
1.4%
ValueCountFrequency (%)
-1.53 1
 
0.7%
-1.54 7
 
4.9%
-1.55 8
 
5.6%
-1.56 75
52.1%
-1.57 18
 
12.5%
-1.58 3
 
2.1%
-1.59 2
 
1.4%
-1.6 1
 
0.7%
-1.61 1
 
0.7%
-1.63 2
 
1.4%

2016-01-10
Real number (ℝ)

Distinct35
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5989583
Minimum-1.92
Maximum-1.51
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:31.081153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.92
5-th percentile-1.86
Q1-1.58
median-1.55
Q3-1.54
95-th percentile-1.5215
Maximum-1.51
Range0.41
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.10784422
Coefficient of variation (CV)-0.067446548
Kurtosis2.1537436
Mean-1.5989583
Median Absolute Deviation (MAD)0.01
Skewness-1.8832462
Sum-230.25
Variance0.011630376
MonotonicityNot monotonic
2023-12-11T12:21:31.234295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
-1.55 52
36.1%
-1.54 26
18.1%
-1.56 14
 
9.7%
-1.52 6
 
4.2%
-1.53 4
 
2.8%
-1.57 3
 
2.1%
-1.86 2
 
1.4%
-1.85 2
 
1.4%
-1.76 2
 
1.4%
-1.91 2
 
1.4%
Other values (25) 31
21.5%
ValueCountFrequency (%)
-1.92 2
1.4%
-1.91 2
1.4%
-1.9 1
0.7%
-1.89 1
0.7%
-1.88 1
0.7%
-1.86 2
1.4%
-1.85 2
1.4%
-1.84 1
0.7%
-1.83 1
0.7%
-1.82 1
0.7%
ValueCountFrequency (%)
-1.51 2
 
1.4%
-1.52 6
 
4.2%
-1.53 4
 
2.8%
-1.54 26
18.1%
-1.55 52
36.1%
-1.56 14
 
9.7%
-1.57 3
 
2.1%
-1.58 2
 
1.4%
-1.59 2
 
1.4%
-1.6 2
 
1.4%

2016-01-11
Real number (ℝ)

Distinct30
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.6019444
Minimum-1.93
Maximum-1.53
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:31.454238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.93
5-th percentile-1.87
Q1-1.59
median-1.56
Q3-1.54
95-th percentile-1.53
Maximum-1.53
Range0.4
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.11007485
Coefficient of variation (CV)-0.068713275
Kurtosis2.098846
Mean-1.6019444
Median Absolute Deviation (MAD)0.02
Skewness-1.8569172
Sum-230.68
Variance0.012116472
MonotonicityNot monotonic
2023-12-11T12:21:31.624575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
-1.56 32
22.2%
-1.53 31
21.5%
-1.54 18
12.5%
-1.55 14
9.7%
-1.57 8
 
5.6%
-1.58 4
 
2.8%
-1.59 4
 
2.8%
-1.92 2
 
1.4%
-1.83 2
 
1.4%
-1.81 2
 
1.4%
Other values (20) 27
18.8%
ValueCountFrequency (%)
-1.93 2
1.4%
-1.92 2
1.4%
-1.9 2
1.4%
-1.89 1
0.7%
-1.87 2
1.4%
-1.86 1
0.7%
-1.85 2
1.4%
-1.83 2
1.4%
-1.81 2
1.4%
-1.79 1
0.7%
ValueCountFrequency (%)
-1.53 31
21.5%
-1.54 18
12.5%
-1.55 14
9.7%
-1.56 32
22.2%
-1.57 8
 
5.6%
-1.58 4
 
2.8%
-1.59 4
 
2.8%
-1.6 1
 
0.7%
-1.61 1
 
0.7%
-1.62 2
 
1.4%

2016-01-12
Real number (ℝ)

Distinct32
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.6030556
Minimum-1.93
Maximum-1.52
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:31.813635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.93
5-th percentile-1.8685
Q1-1.5725
median-1.56
Q3-1.54
95-th percentile-1.54
Maximum-1.52
Range0.41
Interquartile range (IQR)0.0325

Descriptive statistics

Standard deviation0.10751665
Coefficient of variation (CV)-0.067069819
Kurtosis2.3174029
Mean-1.6030556
Median Absolute Deviation (MAD)0.02
Skewness-1.9211005
Sum-230.84
Variance0.011559829
MonotonicityNot monotonic
2023-12-11T12:21:31.972270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
-1.54 38
26.4%
-1.55 28
19.4%
-1.56 24
16.7%
-1.57 16
11.1%
-1.93 3
 
2.1%
-1.62 3
 
2.1%
-1.79 2
 
1.4%
-1.91 2
 
1.4%
-1.85 2
 
1.4%
-1.82 2
 
1.4%
Other values (22) 24
16.7%
ValueCountFrequency (%)
-1.93 3
2.1%
-1.91 2
1.4%
-1.89 1
 
0.7%
-1.88 1
 
0.7%
-1.87 1
 
0.7%
-1.86 1
 
0.7%
-1.85 2
1.4%
-1.83 2
1.4%
-1.82 2
1.4%
-1.81 1
 
0.7%
ValueCountFrequency (%)
-1.52 1
 
0.7%
-1.53 1
 
0.7%
-1.54 38
26.4%
-1.55 28
19.4%
-1.56 24
16.7%
-1.57 16
11.1%
-1.58 1
 
0.7%
-1.59 1
 
0.7%
-1.6 2
 
1.4%
-1.61 1
 
0.7%

2016-01-13
Real number (ℝ)

Distinct32
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.6036111
Minimum-1.94
Maximum-1.5
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:32.110585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.94
5-th percentile-1.8885
Q1-1.585
median-1.56
Q3-1.54
95-th percentile-1.5215
Maximum-1.5
Range0.44
Interquartile range (IQR)0.045

Descriptive statistics

Standard deviation0.11553833
Coefficient of variation (CV)-0.072048848
Kurtosis1.9903693
Mean-1.6036111
Median Absolute Deviation (MAD)0.02
Skewness-1.8282975
Sum-230.92
Variance0.013349106
MonotonicityNot monotonic
2023-12-11T12:21:32.266240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
-1.56 35
24.3%
-1.54 21
14.6%
-1.55 19
13.2%
-1.53 18
12.5%
-1.52 6
 
4.2%
-1.57 5
 
3.5%
-1.94 3
 
2.1%
-1.6 3
 
2.1%
-1.86 2
 
1.4%
-1.84 2
 
1.4%
Other values (22) 30
20.8%
ValueCountFrequency (%)
-1.94 3
2.1%
-1.93 2
1.4%
-1.91 1
 
0.7%
-1.9 1
 
0.7%
-1.89 1
 
0.7%
-1.88 2
1.4%
-1.86 2
1.4%
-1.84 2
1.4%
-1.82 2
1.4%
-1.81 1
 
0.7%
ValueCountFrequency (%)
-1.5 2
 
1.4%
-1.52 6
 
4.2%
-1.53 18
12.5%
-1.54 21
14.6%
-1.55 19
13.2%
-1.56 35
24.3%
-1.57 5
 
3.5%
-1.58 2
 
1.4%
-1.6 3
 
2.1%
-1.61 1
 
0.7%

2016-01-14
Real number (ℝ)

Distinct27
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.6909722
Minimum-1.88
Maximum-1.5
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:32.434174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.88
5-th percentile-1.87
Q1-1.86
median-1.71
Q3-1.51
95-th percentile-1.5
Maximum-1.5
Range0.38
Interquartile range (IQR)0.35

Descriptive statistics

Standard deviation0.16724974
Coefficient of variation (CV)-0.098907442
Kurtosis-1.9323015
Mean-1.6909722
Median Absolute Deviation (MAD)0.16
Skewness0.03626245
Sum-243.5
Variance0.027972475
MonotonicityNot monotonic
2023-12-11T12:21:32.845940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
-1.86 40
27.8%
-1.51 22
15.3%
-1.5 21
14.6%
-1.87 13
 
9.0%
-1.53 7
 
4.9%
-1.54 5
 
3.5%
-1.85 5
 
3.5%
-1.88 5
 
3.5%
-1.55 4
 
2.8%
-1.52 3
 
2.1%
Other values (17) 19
13.2%
ValueCountFrequency (%)
-1.88 5
 
3.5%
-1.87 13
 
9.0%
-1.86 40
27.8%
-1.85 5
 
3.5%
-1.84 2
 
1.4%
-1.83 1
 
0.7%
-1.81 1
 
0.7%
-1.79 1
 
0.7%
-1.78 1
 
0.7%
-1.76 1
 
0.7%
ValueCountFrequency (%)
-1.5 21
14.6%
-1.51 22
15.3%
-1.52 3
 
2.1%
-1.53 7
 
4.9%
-1.54 5
 
3.5%
-1.55 4
 
2.8%
-1.56 2
 
1.4%
-1.57 1
 
0.7%
-1.58 1
 
0.7%
-1.59 1
 
0.7%

2016-01-15
Real number (ℝ)

Distinct34
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.6205556
Minimum-1.87
Maximum-1.48
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:33.007751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.87
5-th percentile-1.86
Q1-1.7325
median-1.54
Q3-1.52
95-th percentile-1.51
Maximum-1.48
Range0.39
Interquartile range (IQR)0.2125

Descriptive statistics

Standard deviation0.13534611
Coefficient of variation (CV)-0.083518342
Kurtosis-0.91299539
Mean-1.6205556
Median Absolute Deviation (MAD)0.03
Skewness-0.88531526
Sum-233.36
Variance0.01831857
MonotonicityNot monotonic
2023-12-11T12:21:33.189132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
-1.53 22
15.3%
-1.86 21
14.6%
-1.52 20
13.9%
-1.51 19
13.2%
-1.54 11
 
7.6%
-1.55 5
 
3.5%
-1.5 5
 
3.5%
-1.83 3
 
2.1%
-1.87 2
 
1.4%
-1.48 2
 
1.4%
Other values (24) 34
23.6%
ValueCountFrequency (%)
-1.87 2
 
1.4%
-1.86 21
14.6%
-1.83 3
 
2.1%
-1.82 1
 
0.7%
-1.8 2
 
1.4%
-1.79 2
 
1.4%
-1.77 2
 
1.4%
-1.76 1
 
0.7%
-1.74 2
 
1.4%
-1.73 1
 
0.7%
ValueCountFrequency (%)
-1.48 2
 
1.4%
-1.5 5
 
3.5%
-1.51 19
13.2%
-1.52 20
13.9%
-1.53 22
15.3%
-1.54 11
7.6%
-1.55 5
 
3.5%
-1.56 2
 
1.4%
-1.57 2
 
1.4%
-1.58 1
 
0.7%

2016-01-16
Real number (ℝ)

Distinct26
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5466667
Minimum-1.76
Maximum-1.5
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:33.339997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.76
5-th percentile-1.7185
Q1-1.53
median-1.52
Q3-1.5175
95-th percentile-1.51
Maximum-1.5
Range0.26
Interquartile range (IQR)0.0125

Descriptive statistics

Standard deviation0.063927406
Coefficient of variation (CV)-0.041332375
Kurtosis3.7019814
Mean-1.5466667
Median Absolute Deviation (MAD)0.01
Skewness-2.2053386
Sum-222.72
Variance0.0040867133
MonotonicityNot monotonic
2023-12-11T12:21:33.514580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
-1.52 51
35.4%
-1.51 31
21.5%
-1.53 24
16.7%
-1.5 5
 
3.5%
-1.54 5
 
3.5%
-1.61 2
 
1.4%
-1.76 2
 
1.4%
-1.75 2
 
1.4%
-1.74 2
 
1.4%
-1.68 2
 
1.4%
Other values (16) 18
 
12.5%
ValueCountFrequency (%)
-1.76 2
1.4%
-1.75 2
1.4%
-1.74 2
1.4%
-1.73 1
0.7%
-1.72 1
0.7%
-1.71 1
0.7%
-1.7 1
0.7%
-1.69 1
0.7%
-1.68 2
1.4%
-1.67 1
0.7%
ValueCountFrequency (%)
-1.5 5
 
3.5%
-1.51 31
21.5%
-1.52 51
35.4%
-1.53 24
16.7%
-1.54 5
 
3.5%
-1.55 1
 
0.7%
-1.56 2
 
1.4%
-1.57 1
 
0.7%
-1.58 2
 
1.4%
-1.59 1
 
0.7%

2016-01-17
Real number (ℝ)

Distinct13
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5444444
Minimum-1.62
Maximum-1.5
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:33.691390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.62
5-th percentile-1.6
Q1-1.59
median-1.52
Q3-1.51
95-th percentile-1.51
Maximum-1.5
Range0.12
Interquartile range (IQR)0.08

Descriptive statistics

Standard deviation0.038950889
Coefficient of variation (CV)-0.02522
Kurtosis-1.5414816
Mean-1.5444444
Median Absolute Deviation (MAD)0.01
Skewness-0.48343937
Sum-222.4
Variance0.0015171717
MonotonicityNot monotonic
2023-12-11T12:21:33.856947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
-1.51 58
40.3%
-1.59 29
20.1%
-1.52 22
 
15.3%
-1.6 10
 
6.9%
-1.58 5
 
3.5%
-1.57 4
 
2.8%
-1.55 3
 
2.1%
-1.56 3
 
2.1%
-1.61 3
 
2.1%
-1.62 3
 
2.1%
Other values (3) 4
 
2.8%
ValueCountFrequency (%)
-1.62 3
 
2.1%
-1.61 3
 
2.1%
-1.6 10
 
6.9%
-1.59 29
20.1%
-1.58 5
 
3.5%
-1.57 4
 
2.8%
-1.56 3
 
2.1%
-1.55 3
 
2.1%
-1.54 1
 
0.7%
-1.53 1
 
0.7%
ValueCountFrequency (%)
-1.5 2
 
1.4%
-1.51 58
40.3%
-1.52 22
 
15.3%
-1.53 1
 
0.7%
-1.54 1
 
0.7%
-1.55 3
 
2.1%
-1.56 3
 
2.1%
-1.57 4
 
2.8%
-1.58 5
 
3.5%
-1.59 29
20.1%

2016-01-18
Real number (ℝ)

Distinct10
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.6365972
Minimum-1.68
Maximum-1.59
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:34.025695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.68
5-th percentile-1.67
Q1-1.65
median-1.64
Q3-1.63
95-th percentile-1.59
Maximum-1.59
Range0.09
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.021618536
Coefficient of variation (CV)-0.013209442
Kurtosis-0.13048767
Mean-1.6365972
Median Absolute Deviation (MAD)0.01
Skewness0.41486131
Sum-235.67
Variance0.00046736111
MonotonicityNot monotonic
2023-12-11T12:21:34.133521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.63 36
25.0%
-1.64 23
16.0%
-1.66 22
15.3%
-1.65 22
15.3%
-1.62 13
 
9.0%
-1.6 9
 
6.2%
-1.59 9
 
6.2%
-1.67 5
 
3.5%
-1.68 4
 
2.8%
-1.61 1
 
0.7%
ValueCountFrequency (%)
-1.68 4
 
2.8%
-1.67 5
 
3.5%
-1.66 22
15.3%
-1.65 22
15.3%
-1.64 23
16.0%
-1.63 36
25.0%
-1.62 13
 
9.0%
-1.61 1
 
0.7%
-1.6 9
 
6.2%
-1.59 9
 
6.2%
ValueCountFrequency (%)
-1.59 9
 
6.2%
-1.6 9
 
6.2%
-1.61 1
 
0.7%
-1.62 13
 
9.0%
-1.63 36
25.0%
-1.64 23
16.0%
-1.65 22
15.3%
-1.66 22
15.3%
-1.67 5
 
3.5%
-1.68 4
 
2.8%

2016-01-19
Real number (ℝ)

Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.6240278
Minimum-1.69
Maximum-1.58
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:34.269705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.69
5-th percentile-1.68
Q1-1.63
median-1.62
Q3-1.61
95-th percentile-1.59
Maximum-1.58
Range0.11
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.025124013
Coefficient of variation (CV)-0.015470186
Kurtosis0.35390615
Mean-1.6240278
Median Absolute Deviation (MAD)0.01
Skewness-0.89429298
Sum-233.86
Variance0.00063121601
MonotonicityNot monotonic
2023-12-11T12:21:34.417661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-1.62 37
25.7%
-1.61 36
25.0%
-1.63 19
13.2%
-1.6 10
 
6.9%
-1.67 9
 
6.2%
-1.68 9
 
6.2%
-1.59 7
 
4.9%
-1.64 6
 
4.2%
-1.58 5
 
3.5%
-1.66 3
 
2.1%
Other values (2) 3
 
2.1%
ValueCountFrequency (%)
-1.69 1
 
0.7%
-1.68 9
 
6.2%
-1.67 9
 
6.2%
-1.66 3
 
2.1%
-1.65 2
 
1.4%
-1.64 6
 
4.2%
-1.63 19
13.2%
-1.62 37
25.7%
-1.61 36
25.0%
-1.6 10
 
6.9%
ValueCountFrequency (%)
-1.58 5
 
3.5%
-1.59 7
 
4.9%
-1.6 10
 
6.9%
-1.61 36
25.0%
-1.62 37
25.7%
-1.63 19
13.2%
-1.64 6
 
4.2%
-1.65 2
 
1.4%
-1.66 3
 
2.1%
-1.67 9
 
6.2%

2016-01-20
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.57
92 
-1.56
47 
-1.58
 
5

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.58
2nd row-1.58
3rd row-1.57
4th row-1.57
5th row-1.57

Common Values

ValueCountFrequency (%)
-1.57 92
63.9%
-1.56 47
32.6%
-1.58 5
 
3.5%

Length

2023-12-11T12:21:34.550692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:34.663643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.57 92
63.9%
1.56 47
32.6%
1.58 5
 
3.5%

2016-01-21
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.56
111 
-1.57
28 
-1.55
 
5

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.56
2nd row-1.56
3rd row-1.56
4th row-1.56
5th row-1.55

Common Values

ValueCountFrequency (%)
-1.56 111
77.1%
-1.57 28
 
19.4%
-1.55 5
 
3.5%

Length

2023-12-11T12:21:34.768376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:34.874965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.56 111
77.1%
1.57 28
 
19.4%
1.55 5
 
3.5%

2016-01-22
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.55
119 
-1.56
20 
-1.54
 
5

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.55
2nd row-1.55
3rd row-1.55
4th row-1.55
5th row-1.55

Common Values

ValueCountFrequency (%)
-1.55 119
82.6%
-1.56 20
 
13.9%
-1.54 5
 
3.5%

Length

2023-12-11T12:21:34.978550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:35.077769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.55 119
82.6%
1.56 20
 
13.9%
1.54 5
 
3.5%

2016-01-23
Real number (ℝ)

Distinct33
Distinct (%)22.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.6051389
Minimum-1.89
Maximum-1.51
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:35.180962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.89
5-th percentile-1.847
Q1-1.61
median-1.575
Q3-1.54
95-th percentile-1.5315
Maximum-1.51
Range0.38
Interquartile range (IQR)0.07

Descriptive statistics

Standard deviation0.096003978
Coefficient of variation (CV)-0.059810387
Kurtosis1.8521321
Mean-1.6051389
Median Absolute Deviation (MAD)0.035
Skewness-1.7187285
Sum-231.14
Variance0.0092167638
MonotonicityNot monotonic
2023-12-11T12:21:35.301281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
-1.54 45
31.2%
-1.59 14
 
9.7%
-1.58 12
 
8.3%
-1.6 8
 
5.6%
-1.57 7
 
4.9%
-1.61 6
 
4.2%
-1.56 6
 
4.2%
-1.55 6
 
4.2%
-1.53 5
 
3.5%
-1.88 3
 
2.1%
Other values (23) 32
22.2%
ValueCountFrequency (%)
-1.89 1
 
0.7%
-1.88 3
2.1%
-1.87 1
 
0.7%
-1.86 1
 
0.7%
-1.85 2
1.4%
-1.83 2
1.4%
-1.81 2
1.4%
-1.8 1
 
0.7%
-1.79 2
1.4%
-1.78 2
1.4%
ValueCountFrequency (%)
-1.51 2
 
1.4%
-1.52 1
 
0.7%
-1.53 5
 
3.5%
-1.54 45
31.2%
-1.55 6
 
4.2%
-1.56 6
 
4.2%
-1.57 7
 
4.9%
-1.58 12
 
8.3%
-1.59 14
 
9.7%
-1.6 8
 
5.6%

2016-01-24
Real number (ℝ)

Distinct37
Distinct (%)25.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.6093056
Minimum-1.96
Maximum-1.5
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:35.411141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.96
5-th percentile-1.9085
Q1-1.61
median-1.54
Q3-1.52
95-th percentile-1.51
Maximum-1.5
Range0.46
Interquartile range (IQR)0.09

Descriptive statistics

Standard deviation0.12592401
Coefficient of variation (CV)-0.078247423
Kurtosis1.1098756
Mean-1.6093056
Median Absolute Deviation (MAD)0.03
Skewness-1.5125295
Sum-231.74
Variance0.015856857
MonotonicityNot monotonic
2023-12-11T12:21:35.535214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
-1.52 28
19.4%
-1.53 19
13.2%
-1.61 17
11.8%
-1.54 12
 
8.3%
-1.51 12
 
8.3%
-1.6 10
 
6.9%
-1.55 4
 
2.8%
-1.73 2
 
1.4%
-1.5 2
 
1.4%
-1.57 2
 
1.4%
Other values (27) 36
25.0%
ValueCountFrequency (%)
-1.96 2
1.4%
-1.95 1
0.7%
-1.94 1
0.7%
-1.93 2
1.4%
-1.91 2
1.4%
-1.9 1
0.7%
-1.89 1
0.7%
-1.88 2
1.4%
-1.86 2
1.4%
-1.84 2
1.4%
ValueCountFrequency (%)
-1.5 2
 
1.4%
-1.51 12
8.3%
-1.52 28
19.4%
-1.53 19
13.2%
-1.54 12
8.3%
-1.55 4
 
2.8%
-1.56 1
 
0.7%
-1.57 2
 
1.4%
-1.58 1
 
0.7%
-1.59 1
 
0.7%

2016-01-25
Real number (ℝ)

Distinct30
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5739583
Minimum-1.85
Maximum-1.51
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:35.657288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.85
5-th percentile-1.81
Q1-1.5625
median-1.535
Q3-1.51
95-th percentile-1.51
Maximum-1.51
Range0.34
Interquartile range (IQR)0.0525

Descriptive statistics

Standard deviation0.095413848
Coefficient of variation (CV)-0.060620314
Kurtosis1.8150809
Mean-1.5739583
Median Absolute Deviation (MAD)0.025
Skewness-1.7693275
Sum-226.65
Variance0.0091038024
MonotonicityNot monotonic
2023-12-11T12:21:35.761544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
-1.51 38
26.4%
-1.54 22
15.3%
-1.53 19
13.2%
-1.52 15
 
10.4%
-1.55 7
 
4.9%
-1.56 7
 
4.9%
-1.85 3
 
2.1%
-1.57 3
 
2.1%
-1.79 2
 
1.4%
-1.76 2
 
1.4%
Other values (20) 26
18.1%
ValueCountFrequency (%)
-1.85 3
2.1%
-1.84 1
 
0.7%
-1.83 2
1.4%
-1.82 1
 
0.7%
-1.81 2
1.4%
-1.79 2
1.4%
-1.78 1
 
0.7%
-1.77 1
 
0.7%
-1.76 2
1.4%
-1.74 2
1.4%
ValueCountFrequency (%)
-1.51 38
26.4%
-1.52 15
 
10.4%
-1.53 19
13.2%
-1.54 22
15.3%
-1.55 7
 
4.9%
-1.56 7
 
4.9%
-1.57 3
 
2.1%
-1.58 1
 
0.7%
-1.59 2
 
1.4%
-1.6 2
 
1.4%

2016-01-26
Real number (ℝ)

Distinct27
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5715278
Minimum-1.85
Maximum-1.51
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:35.865644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.85
5-th percentile-1.8
Q1-1.55
median-1.53
Q3-1.53
95-th percentile-1.52
Maximum-1.51
Range0.34
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.089554605
Coefficient of variation (CV)-0.056985696
Kurtosis2.6360844
Mean-1.5715278
Median Absolute Deviation (MAD)0.005
Skewness-2.0032199
Sum-226.3
Variance0.0080200272
MonotonicityNot monotonic
2023-12-11T12:21:35.991254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
-1.53 72
50.0%
-1.52 13
 
9.0%
-1.54 13
 
9.0%
-1.55 7
 
4.9%
-1.51 7
 
4.9%
-1.72 2
 
1.4%
-1.85 2
 
1.4%
-1.84 2
 
1.4%
-1.81 2
 
1.4%
-1.8 2
 
1.4%
Other values (17) 22
 
15.3%
ValueCountFrequency (%)
-1.85 2
1.4%
-1.84 2
1.4%
-1.82 1
0.7%
-1.81 2
1.4%
-1.8 2
1.4%
-1.79 1
0.7%
-1.78 1
0.7%
-1.77 2
1.4%
-1.75 2
1.4%
-1.74 1
0.7%
ValueCountFrequency (%)
-1.51 7
 
4.9%
-1.52 13
 
9.0%
-1.53 72
50.0%
-1.54 13
 
9.0%
-1.55 7
 
4.9%
-1.57 1
 
0.7%
-1.58 2
 
1.4%
-1.59 1
 
0.7%
-1.6 2
 
1.4%
-1.61 1
 
0.7%

2016-01-27
Real number (ℝ)

Distinct26
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.7068056
Minimum-1.89
Maximum-1.52
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:36.110784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.89
5-th percentile-1.87
Q1-1.86
median-1.79
Q3-1.53
95-th percentile-1.52
Maximum-1.52
Range0.37
Interquartile range (IQR)0.33

Descriptive statistics

Standard deviation0.15891526
Coefficient of variation (CV)-0.093106833
Kurtosis-1.9044451
Mean-1.7068056
Median Absolute Deviation (MAD)0.08
Skewness0.17239875
Sum-245.78
Variance0.02525406
MonotonicityNot monotonic
2023-12-11T12:21:36.224851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
-1.86 34
23.6%
-1.53 29
20.1%
-1.52 27
18.8%
-1.85 21
14.6%
-1.87 8
 
5.6%
-1.84 3
 
2.1%
-1.89 2
 
1.4%
-1.88 2
 
1.4%
-1.75 1
 
0.7%
-1.82 1
 
0.7%
Other values (16) 16
11.1%
ValueCountFrequency (%)
-1.89 2
 
1.4%
-1.88 2
 
1.4%
-1.87 8
 
5.6%
-1.86 34
23.6%
-1.85 21
14.6%
-1.84 3
 
2.1%
-1.82 1
 
0.7%
-1.8 1
 
0.7%
-1.78 1
 
0.7%
-1.77 1
 
0.7%
ValueCountFrequency (%)
-1.52 27
18.8%
-1.53 29
20.1%
-1.55 1
 
0.7%
-1.57 1
 
0.7%
-1.58 1
 
0.7%
-1.59 1
 
0.7%
-1.6 1
 
0.7%
-1.61 1
 
0.7%
-1.63 1
 
0.7%
-1.65 1
 
0.7%

2016-01-28
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)27.4%
Missing31
Missing (%)21.5%
Infinite0
Infinite (%)0.0%
Mean-1.6223009
Minimum-1.86
Maximum-1.48
Zeros0
Zeros (%)0.0%
Negative113
Negative (%)78.5%
Memory size1.4 KiB
2023-12-11T12:21:36.327563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.86
5-th percentile-1.85
Q1-1.7
median-1.56
Q3-1.55
95-th percentile-1.5
Maximum-1.48
Range0.38
Interquartile range (IQR)0.15

Descriptive statistics

Standard deviation0.11763297
Coefficient of variation (CV)-0.072509959
Kurtosis-0.40144061
Mean-1.6223009
Median Absolute Deviation (MAD)0.03
Skewness-1.0189734
Sum-183.32
Variance0.013837516
MonotonicityNot monotonic
2023-12-11T12:21:36.432049image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
-1.56 21
14.6%
-1.55 13
9.0%
-1.85 11
 
7.6%
-1.57 9
 
6.2%
-1.5 8
 
5.6%
-1.54 7
 
4.9%
-1.86 5
 
3.5%
-1.59 4
 
2.8%
-1.51 3
 
2.1%
-1.58 3
 
2.1%
Other values (21) 29
20.1%
(Missing) 31
21.5%
ValueCountFrequency (%)
-1.86 5
3.5%
-1.85 11
7.6%
-1.8 1
 
0.7%
-1.79 2
 
1.4%
-1.77 1
 
0.7%
-1.76 1
 
0.7%
-1.75 1
 
0.7%
-1.73 2
 
1.4%
-1.72 2
 
1.4%
-1.71 1
 
0.7%
ValueCountFrequency (%)
-1.48 1
 
0.7%
-1.49 2
 
1.4%
-1.5 8
 
5.6%
-1.51 3
 
2.1%
-1.52 1
 
0.7%
-1.53 2
 
1.4%
-1.54 7
 
4.9%
-1.55 13
9.0%
-1.56 21
14.6%
-1.57 9
6.2%

2016-01-29
Real number (ℝ)

Distinct23
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.566875
Minimum-1.77
Maximum-1.5
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:36.537001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.77
5-th percentile-1.7485
Q1-1.56
median-1.55
Q3-1.52
95-th percentile-1.51
Maximum-1.5
Range0.27
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.066305805
Coefficient of variation (CV)-0.042317227
Kurtosis2.74198
Mean-1.566875
Median Absolute Deviation (MAD)0.01
Skewness-1.9200443
Sum-225.63
Variance0.0043964598
MonotonicityNot monotonic
2023-12-11T12:21:36.633150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
-1.55 54
37.5%
-1.52 25
17.4%
-1.56 15
 
10.4%
-1.51 8
 
5.6%
-1.53 7
 
4.9%
-1.5 4
 
2.8%
-1.54 4
 
2.8%
-1.62 3
 
2.1%
-1.75 3
 
2.1%
-1.77 3
 
2.1%
Other values (13) 18
 
12.5%
ValueCountFrequency (%)
-1.77 3
2.1%
-1.76 2
1.4%
-1.75 3
2.1%
-1.74 1
 
0.7%
-1.73 1
 
0.7%
-1.72 1
 
0.7%
-1.71 2
1.4%
-1.69 2
1.4%
-1.67 2
1.4%
-1.65 2
1.4%
ValueCountFrequency (%)
-1.5 4
 
2.8%
-1.51 8
 
5.6%
-1.52 25
17.4%
-1.53 7
 
4.9%
-1.54 4
 
2.8%
-1.55 54
37.5%
-1.56 15
 
10.4%
-1.58 1
 
0.7%
-1.59 1
 
0.7%
-1.6 1
 
0.7%

2016-01-30
Real number (ℝ)

Distinct21
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5573611
Minimum-1.7
Maximum-1.5
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:36.732344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.7
5-th percentile-1.6685
Q1-1.58
median-1.545
Q3-1.51
95-th percentile-1.51
Maximum-1.5
Range0.2
Interquartile range (IQR)0.07

Descriptive statistics

Standard deviation0.0512772
Coefficient of variation (CV)-0.032925697
Kurtosis0.10551795
Mean-1.5573611
Median Absolute Deviation (MAD)0.035
Skewness-0.91842048
Sum-224.26
Variance0.0026293512
MonotonicityNot monotonic
2023-12-11T12:21:36.834449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
-1.51 46
31.9%
-1.58 31
21.5%
-1.52 23
16.0%
-1.57 8
 
5.6%
-1.61 5
 
3.5%
-1.69 4
 
2.8%
-1.6 4
 
2.8%
-1.59 3
 
2.1%
-1.62 3
 
2.1%
-1.65 2
 
1.4%
Other values (11) 15
 
10.4%
ValueCountFrequency (%)
-1.7 1
 
0.7%
-1.69 4
2.8%
-1.68 1
 
0.7%
-1.67 2
 
1.4%
-1.66 1
 
0.7%
-1.65 2
 
1.4%
-1.64 2
 
1.4%
-1.63 2
 
1.4%
-1.62 3
2.1%
-1.61 5
3.5%
ValueCountFrequency (%)
-1.5 1
 
0.7%
-1.51 46
31.9%
-1.52 23
16.0%
-1.53 1
 
0.7%
-1.54 1
 
0.7%
-1.55 1
 
0.7%
-1.56 2
 
1.4%
-1.57 8
 
5.6%
-1.58 31
21.5%
-1.59 3
 
2.1%

2016-01-31
Real number (ℝ)

Distinct6
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5513889
Minimum-1.58
Maximum-1.53
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:36.942022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.58
5-th percentile-1.57
Q1-1.55
median-1.55
Q3-1.55
95-th percentile-1.53
Maximum-1.53
Range0.05
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.011563816
Coefficient of variation (CV)-0.0074538472
Kurtosis0.29322749
Mean-1.5513889
Median Absolute Deviation (MAD)0
Skewness-0.46748953
Sum-223.4
Variance0.00013372183
MonotonicityNot monotonic
2023-12-11T12:21:37.034980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-1.55 77
53.5%
-1.54 21
 
14.6%
-1.57 18
 
12.5%
-1.56 12
 
8.3%
-1.53 11
 
7.6%
-1.58 5
 
3.5%
ValueCountFrequency (%)
-1.58 5
 
3.5%
-1.57 18
 
12.5%
-1.56 12
 
8.3%
-1.55 77
53.5%
-1.54 21
 
14.6%
-1.53 11
 
7.6%
ValueCountFrequency (%)
-1.53 11
 
7.6%
-1.54 21
 
14.6%
-1.55 77
53.5%
-1.56 12
 
8.3%
-1.57 18
 
12.5%
-1.58 5
 
3.5%

2016-02-01
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.53
52 
-1.51
40 
-1.52
29 
-1.5
23 

Length

Max length5
Median length5
Mean length4.8402778
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.53
2nd row-1.53
3rd row-1.53
4th row-1.53
5th row-1.53

Common Values

ValueCountFrequency (%)
-1.53 52
36.1%
-1.51 40
27.8%
-1.52 29
20.1%
-1.5 23
16.0%

Length

2023-12-11T12:21:37.128219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:37.217159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.53 52
36.1%
1.51 40
27.8%
1.52 29
20.1%
1.5 23
16.0%

2016-02-02
Categorical

Distinct5
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.5
74 
-1.49
41 
-1.51
17 
<NA>
11 
-1.48
 
1

Length

Max length5
Median length4
Mean length4.4097222
Min length4

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row-1.5
2nd row-1.5
3rd row-1.5
4th row-1.5
5th row-1.5

Common Values

ValueCountFrequency (%)
-1.5 74
51.4%
-1.49 41
28.5%
-1.51 17
 
11.8%
<NA> 11
 
7.6%
-1.48 1
 
0.7%

Length

2023-12-11T12:21:37.312960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:37.398521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.5 74
51.4%
1.49 41
28.5%
1.51 17
 
11.8%
na 11
 
7.6%
1.48 1
 
0.7%

2016-02-03
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.48
94 
<NA>
40 
-1.49
10 

Length

Max length5
Median length5
Mean length4.7222222
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
-1.48 94
65.3%
<NA> 40
27.8%
-1.49 10
 
6.9%

Length

2023-12-11T12:21:37.489176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:37.570052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.48 94
65.3%
na 40
27.8%
1.49 10
 
6.9%

2016-02-04
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.48
97 
-1.47
45 
-1.49
 
2

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.48
2nd row-1.48
3rd row-1.48
4th row-1.48
5th row-1.48

Common Values

ValueCountFrequency (%)
-1.48 97
67.4%
-1.47 45
31.2%
-1.49 2
 
1.4%

Length

2023-12-11T12:21:37.651185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:37.732368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.48 97
67.4%
1.47 45
31.2%
1.49 2
 
1.4%

2016-02-05
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.47
84 
-1.46
56 
-1.48
 
4

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.47
2nd row-1.47
3rd row-1.47
4th row-1.47
5th row-1.47

Common Values

ValueCountFrequency (%)
-1.47 84
58.3%
-1.46 56
38.9%
-1.48 4
 
2.8%

Length

2023-12-11T12:21:37.817366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:37.900629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.47 84
58.3%
1.46 56
38.9%
1.48 4
 
2.8%

2016-02-06
Categorical

Distinct5
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.46
61 
-1.47
61 
-1.45
17 
-1.48
 
4
-1.44
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row-1.46
2nd row-1.46
3rd row-1.46
4th row-1.46
5th row-1.45

Common Values

ValueCountFrequency (%)
-1.46 61
42.4%
-1.47 61
42.4%
-1.45 17
 
11.8%
-1.48 4
 
2.8%
-1.44 1
 
0.7%

Length

2023-12-11T12:21:37.989905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:38.080650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.46 61
42.4%
1.47 61
42.4%
1.45 17
 
11.8%
1.48 4
 
2.8%
1.44 1
 
0.7%

2016-02-07
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.45
136 
-1.44
 
8

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.45
2nd row-1.45
3rd row-1.45
4th row-1.45
5th row-1.45

Common Values

ValueCountFrequency (%)
-1.45 136
94.4%
-1.44 8
 
5.6%

Length

2023-12-11T12:21:38.179398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:38.259736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.45 136
94.4%
1.44 8
 
5.6%

2016-02-08
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.44
78 
<NA>
44 
-1.45
21 
-1.43
 
1

Length

Max length5
Median length5
Mean length4.6944444
Min length4

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row-1.44
2nd row-1.44
3rd row-1.44
4th row-1.44
5th row-1.44

Common Values

ValueCountFrequency (%)
-1.44 78
54.2%
<NA> 44
30.6%
-1.45 21
 
14.6%
-1.43 1
 
0.7%

Length

2023-12-11T12:21:38.359599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:38.463499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.44 78
54.2%
na 44
30.6%
1.45 21
 
14.6%
1.43 1
 
0.7%

2016-02-09
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.43
92 
<NA>
38 
-1.44
14 

Length

Max length5
Median length5
Mean length4.7361111
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
-1.43 92
63.9%
<NA> 38
26.4%
-1.44 14
 
9.7%

Length

2023-12-11T12:21:38.560335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:38.657784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.43 92
63.9%
na 38
26.4%
1.44 14
 
9.7%

2016-02-10
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.42
100 
-1.43
44 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.43
2nd row-1.43
3rd row-1.43
4th row-1.43
5th row-1.43

Common Values

ValueCountFrequency (%)
-1.42 100
69.4%
-1.43 44
30.6%

Length

2023-12-11T12:21:38.765932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:38.854396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.42 100
69.4%
1.43 44
30.6%

2016-02-11
Real number (ℝ)

Distinct26
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.6049306
Minimum-1.79
Maximum-1.4
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:39.265346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.79
5-th percentile-1.78
Q1-1.76
median-1.71
Q3-1.41
95-th percentile-1.41
Maximum-1.4
Range0.39
Interquartile range (IQR)0.35

Descriptive statistics

Standard deviation0.16731945
Coefficient of variation (CV)-0.10425339
Kurtosis-1.9004305
Mean-1.6049306
Median Absolute Deviation (MAD)0.07
Skewness0.19221032
Sum-231.11
Variance0.027995799
MonotonicityNot monotonic
2023-12-11T12:21:39.382198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
-1.76 42
29.2%
-1.41 41
28.5%
-1.42 12
 
8.3%
-1.77 11
 
7.6%
-1.75 8
 
5.6%
-1.78 6
 
4.2%
-1.79 3
 
2.1%
-1.4 2
 
1.4%
-1.48 2
 
1.4%
-1.66 1
 
0.7%
Other values (16) 16
 
11.1%
ValueCountFrequency (%)
-1.79 3
 
2.1%
-1.78 6
 
4.2%
-1.77 11
 
7.6%
-1.76 42
29.2%
-1.75 8
 
5.6%
-1.74 1
 
0.7%
-1.72 1
 
0.7%
-1.7 1
 
0.7%
-1.68 1
 
0.7%
-1.67 1
 
0.7%
ValueCountFrequency (%)
-1.4 2
 
1.4%
-1.41 41
28.5%
-1.42 12
 
8.3%
-1.43 1
 
0.7%
-1.46 1
 
0.7%
-1.47 1
 
0.7%
-1.48 2
 
1.4%
-1.49 1
 
0.7%
-1.51 1
 
0.7%
-1.53 1
 
0.7%

2016-02-12
Real number (ℝ)

Distinct33
Distinct (%)22.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.7429861
Minimum-1.89
Maximum-1.49
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:39.504063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.89
5-th percentile-1.88
Q1-1.85
median-1.76
Q3-1.5975
95-th percentile-1.53
Maximum-1.49
Range0.4
Interquartile range (IQR)0.2525

Descriptive statistics

Standard deviation0.13148469
Coefficient of variation (CV)-0.075436453
Kurtosis-1.2443463
Mean-1.7429861
Median Absolute Deviation (MAD)0.1
Skewness0.61153496
Sum-250.99
Variance0.017288224
MonotonicityNot monotonic
2023-12-11T12:21:39.633226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=33)
ValueCountFrequency (%)
-1.85 33
22.9%
-1.86 18
12.5%
-1.75 14
 
9.7%
-1.76 10
 
6.9%
-1.53 7
 
4.9%
-1.87 6
 
4.2%
-1.57 5
 
3.5%
-1.88 5
 
3.5%
-1.54 5
 
3.5%
-1.55 5
 
3.5%
Other values (23) 36
25.0%
ValueCountFrequency (%)
-1.89 4
 
2.8%
-1.88 5
 
3.5%
-1.87 6
 
4.2%
-1.86 18
12.5%
-1.85 33
22.9%
-1.83 1
 
0.7%
-1.81 1
 
0.7%
-1.8 1
 
0.7%
-1.79 1
 
0.7%
-1.77 1
 
0.7%
ValueCountFrequency (%)
-1.49 1
 
0.7%
-1.5 2
 
1.4%
-1.52 3
2.1%
-1.53 7
4.9%
-1.54 5
3.5%
-1.55 5
3.5%
-1.56 4
2.8%
-1.57 5
3.5%
-1.58 2
 
1.4%
-1.59 2
 
1.4%

2016-02-13
Real number (ℝ)

Distinct32
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.7004167
Minimum-1.85
Maximum-1.46
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:39.756414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.85
5-th percentile-1.8485
Q1-1.81
median-1.79
Q3-1.5275
95-th percentile-1.47
Maximum-1.46
Range0.39
Interquartile range (IQR)0.2825

Descriptive statistics

Standard deviation0.14375521
Coefficient of variation (CV)-0.084541165
Kurtosis-1.3797808
Mean-1.7004167
Median Absolute Deviation (MAD)0.05
Skewness0.63074343
Sum-244.86
Variance0.020665559
MonotonicityNot monotonic
2023-12-11T12:21:39.892446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
-1.8 22
15.3%
-1.81 18
12.5%
-1.84 13
 
9.0%
-1.49 11
 
7.6%
-1.47 9
 
6.2%
-1.79 9
 
6.2%
-1.85 8
 
5.6%
-1.78 8
 
5.6%
-1.48 7
 
4.9%
-1.82 5
 
3.5%
Other values (22) 34
23.6%
ValueCountFrequency (%)
-1.85 8
 
5.6%
-1.84 13
9.0%
-1.82 5
 
3.5%
-1.81 18
12.5%
-1.8 22
15.3%
-1.79 9
6.2%
-1.78 8
 
5.6%
-1.77 1
 
0.7%
-1.76 1
 
0.7%
-1.74 1
 
0.7%
ValueCountFrequency (%)
-1.46 1
 
0.7%
-1.47 9
6.2%
-1.48 7
4.9%
-1.49 11
7.6%
-1.5 5
3.5%
-1.51 1
 
0.7%
-1.52 2
 
1.4%
-1.53 1
 
0.7%
-1.54 4
 
2.8%
-1.55 1
 
0.7%

2016-02-14
Real number (ℝ)

Distinct32
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.6370833
Minimum-1.84
Maximum-1.48
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:40.058259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.84
5-th percentile-1.83
Q1-1.81
median-1.56
Q3-1.53
95-th percentile-1.51
Maximum-1.48
Range0.36
Interquartile range (IQR)0.28

Descriptive statistics

Standard deviation0.12973278
Coefficient of variation (CV)-0.07924629
Kurtosis-1.5036231
Mean-1.6370833
Median Absolute Deviation (MAD)0.05
Skewness-0.53077082
Sum-235.74
Variance0.016830594
MonotonicityNot monotonic
2023-12-11T12:21:40.193266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
-1.53 24
16.7%
-1.82 20
13.9%
-1.52 17
11.8%
-1.83 13
 
9.0%
-1.51 10
 
6.9%
-1.54 8
 
5.6%
-1.55 6
 
4.2%
-1.56 6
 
4.2%
-1.59 3
 
2.1%
-1.58 3
 
2.1%
Other values (22) 34
23.6%
ValueCountFrequency (%)
-1.84 2
 
1.4%
-1.83 13
9.0%
-1.82 20
13.9%
-1.81 2
 
1.4%
-1.8 1
 
0.7%
-1.79 1
 
0.7%
-1.78 2
 
1.4%
-1.77 1
 
0.7%
-1.76 1
 
0.7%
-1.75 1
 
0.7%
ValueCountFrequency (%)
-1.48 1
 
0.7%
-1.49 2
 
1.4%
-1.51 10
6.9%
-1.52 17
11.8%
-1.53 24
16.7%
-1.54 8
 
5.6%
-1.55 6
 
4.2%
-1.56 6
 
4.2%
-1.57 2
 
1.4%
-1.58 3
 
2.1%

2016-02-15
Real number (ℝ)

MISSING 

Distinct12
Distinct (%)8.7%
Missing6
Missing (%)4.2%
Infinite0
Infinite (%)0.0%
Mean-1.5292029
Minimum-1.59
Maximum-1.48
Zeros0
Zeros (%)0.0%
Negative138
Negative (%)95.8%
Memory size1.4 KiB
2023-12-11T12:21:40.307360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.59
5-th percentile-1.58
Q1-1.56
median-1.52
Q3-1.5
95-th percentile-1.4885
Maximum-1.48
Range0.11
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.031899971
Coefficient of variation (CV)-0.020860522
Kurtosis-1.4525871
Mean-1.5292029
Median Absolute Deviation (MAD)0.03
Skewness-0.092736958
Sum-211.03
Variance0.0010176082
MonotonicityNot monotonic
2023-12-11T12:21:40.412325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-1.56 33
22.9%
-1.5 21
14.6%
-1.49 17
11.8%
-1.52 13
 
9.0%
-1.51 12
 
8.3%
-1.53 11
 
7.6%
-1.57 11
 
7.6%
-1.48 7
 
4.9%
-1.58 7
 
4.9%
-1.55 3
 
2.1%
Other values (2) 3
 
2.1%
(Missing) 6
 
4.2%
ValueCountFrequency (%)
-1.59 1
 
0.7%
-1.58 7
 
4.9%
-1.57 11
 
7.6%
-1.56 33
22.9%
-1.55 3
 
2.1%
-1.54 2
 
1.4%
-1.53 11
 
7.6%
-1.52 13
 
9.0%
-1.51 12
 
8.3%
-1.5 21
14.6%
ValueCountFrequency (%)
-1.48 7
 
4.9%
-1.49 17
11.8%
-1.5 21
14.6%
-1.51 12
 
8.3%
-1.52 13
 
9.0%
-1.53 11
 
7.6%
-1.54 2
 
1.4%
-1.55 3
 
2.1%
-1.56 33
22.9%
-1.57 11
 
7.6%

2016-02-16
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)6.5%
Missing52
Missing (%)36.1%
Infinite0
Infinite (%)0.0%
Mean-1.5738043
Minimum-1.6
Maximum-1.55
Zeros0
Zeros (%)0.0%
Negative92
Negative (%)63.9%
Memory size1.4 KiB
2023-12-11T12:21:40.515238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.6
5-th percentile-1.6
Q1-1.59
median-1.57
Q3-1.56
95-th percentile-1.55
Maximum-1.55
Range0.05
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.015817808
Coefficient of variation (CV)-0.010050683
Kurtosis-1.1411405
Mean-1.5738043
Median Absolute Deviation (MAD)0.01
Skewness-0.096721664
Sum-144.79
Variance0.00025020306
MonotonicityNot monotonic
2023-12-11T12:21:40.629135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-1.57 25
17.4%
-1.59 21
14.6%
-1.56 16
 
11.1%
-1.55 13
 
9.0%
-1.6 9
 
6.2%
-1.58 8
 
5.6%
(Missing) 52
36.1%
ValueCountFrequency (%)
-1.6 9
 
6.2%
-1.59 21
14.6%
-1.58 8
 
5.6%
-1.57 25
17.4%
-1.56 16
11.1%
-1.55 13
9.0%
ValueCountFrequency (%)
-1.55 13
9.0%
-1.56 16
11.1%
-1.57 25
17.4%
-1.58 8
 
5.6%
-1.59 21
14.6%
-1.6 9
 
6.2%

2016-02-17
Categorical

Distinct5
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.54
62 
-1.53
54 
<NA>
11 
-1.55
-1.56

Length

Max length5
Median length5
Mean length4.9236111
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.56
2nd row-1.56
3rd row-1.56
4th row-1.56
5th row-1.56

Common Values

ValueCountFrequency (%)
-1.54 62
43.1%
-1.53 54
37.5%
<NA> 11
 
7.6%
-1.55 9
 
6.2%
-1.56 8
 
5.6%

Length

2023-12-11T12:21:40.746018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:40.912339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.54 62
43.1%
1.53 54
37.5%
na 11
 
7.6%
1.55 9
 
6.2%
1.56 8
 
5.6%

2016-02-18
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.53
91 
-1.52
37 
-1.54
16 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.53
2nd row-1.53
3rd row-1.53
4th row-1.53
5th row-1.53

Common Values

ValueCountFrequency (%)
-1.53 91
63.2%
-1.52 37
25.7%
-1.54 16
 
11.1%

Length

2023-12-11T12:21:41.047588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:41.190439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.53 91
63.2%
1.52 37
25.7%
1.54 16
 
11.1%

2016-02-19
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.51
85 
-1.52
52 
-1.53
 
7

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.52
2nd row-1.52
3rd row-1.52
4th row-1.52
5th row-1.52

Common Values

ValueCountFrequency (%)
-1.51 85
59.0%
-1.52 52
36.1%
-1.53 7
 
4.9%

Length

2023-12-11T12:21:41.340275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:41.450608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.51 85
59.0%
1.52 52
36.1%
1.53 7
 
4.9%

2016-02-20
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)4.7%
Missing16
Missing (%)11.1%
Infinite0
Infinite (%)0.0%
Mean-1.5142187
Minimum-1.55
Maximum-1.5
Zeros0
Zeros (%)0.0%
Negative128
Negative (%)88.9%
Memory size1.4 KiB
2023-12-11T12:21:41.555291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.55
5-th percentile-1.54
Q1-1.52
median-1.51
Q3-1.5
95-th percentile-1.5
Maximum-1.5
Range0.05
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.014286681
Coefficient of variation (CV)-0.0094350178
Kurtosis-0.53940946
Mean-1.5142187
Median Absolute Deviation (MAD)0.01
Skewness-0.7524747
Sum-193.82
Variance0.00020410925
MonotonicityNot monotonic
2023-12-11T12:21:41.677818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-1.5 45
31.2%
-1.51 31
21.5%
-1.52 25
17.4%
-1.54 16
 
11.1%
-1.53 9
 
6.2%
-1.55 2
 
1.4%
(Missing) 16
 
11.1%
ValueCountFrequency (%)
-1.55 2
 
1.4%
-1.54 16
 
11.1%
-1.53 9
 
6.2%
-1.52 25
17.4%
-1.51 31
21.5%
-1.5 45
31.2%
ValueCountFrequency (%)
-1.5 45
31.2%
-1.51 31
21.5%
-1.52 25
17.4%
-1.53 9
 
6.2%
-1.54 16
 
11.1%
-1.55 2
 
1.4%

2016-02-21
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing144
Missing (%)100.0%
Memory size1.4 KiB

2016-02-22
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing144
Missing (%)100.0%
Memory size1.4 KiB

2016-02-23
Real number (ℝ)

MISSING 

Distinct30
Distinct (%)34.1%
Missing56
Missing (%)38.9%
Infinite0
Infinite (%)0.0%
Mean-1.6184091
Minimum-1.9
Maximum-1.51
Zeros0
Zeros (%)0.0%
Negative88
Negative (%)61.1%
Memory size1.4 KiB
2023-12-11T12:21:41.802555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.9
5-th percentile-1.8665
Q1-1.7025
median-1.55
Q3-1.55
95-th percentile-1.53
Maximum-1.51
Range0.39
Interquartile range (IQR)0.1525

Descriptive statistics

Standard deviation0.11684439
Coefficient of variation (CV)-0.07219707
Kurtosis-0.051510409
Mean-1.6184091
Median Absolute Deviation (MAD)0.01
Skewness-1.2473063
Sum-142.42
Variance0.013652612
MonotonicityNot monotonic
2023-12-11T12:21:41.953363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
-1.55 35
24.3%
-1.56 9
 
6.2%
-1.54 8
 
5.6%
-1.53 4
 
2.8%
-1.82 2
 
1.4%
-1.89 2
 
1.4%
-1.84 2
 
1.4%
-1.8 2
 
1.4%
-1.52 2
 
1.4%
-1.76 2
 
1.4%
Other values (20) 20
 
13.9%
(Missing) 56
38.9%
ValueCountFrequency (%)
-1.9 1
0.7%
-1.89 2
1.4%
-1.88 1
0.7%
-1.87 1
0.7%
-1.86 1
0.7%
-1.84 2
1.4%
-1.82 2
1.4%
-1.81 1
0.7%
-1.8 2
1.4%
-1.79 1
0.7%
ValueCountFrequency (%)
-1.51 1
 
0.7%
-1.52 2
 
1.4%
-1.53 4
 
2.8%
-1.54 8
 
5.6%
-1.55 35
24.3%
-1.56 9
 
6.2%
-1.57 1
 
0.7%
-1.58 1
 
0.7%
-1.59 1
 
0.7%
-1.6 1
 
0.7%

2016-02-24
Real number (ℝ)

Distinct23
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.7091667
Minimum-1.86
Maximum-1.52
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:42.095796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.86
5-th percentile-1.85
Q1-1.85
median-1.835
Q3-1.53
95-th percentile-1.52
Maximum-1.52
Range0.34
Interquartile range (IQR)0.32

Descriptive statistics

Standard deviation0.1544469
Coefficient of variation (CV)-0.090363864
Kurtosis-1.8751294
Mean-1.7091667
Median Absolute Deviation (MAD)0.025
Skewness0.2637339
Sum-246.12
Variance0.023853846
MonotonicityNot monotonic
2023-12-11T12:21:42.235846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
-1.85 64
44.4%
-1.52 29
20.1%
-1.53 20
 
13.9%
-1.86 7
 
4.9%
-1.54 5
 
3.5%
-1.6 2
 
1.4%
-1.76 1
 
0.7%
-1.84 1
 
0.7%
-1.83 1
 
0.7%
-1.81 1
 
0.7%
Other values (13) 13
 
9.0%
ValueCountFrequency (%)
-1.86 7
 
4.9%
-1.85 64
44.4%
-1.84 1
 
0.7%
-1.83 1
 
0.7%
-1.81 1
 
0.7%
-1.8 1
 
0.7%
-1.79 1
 
0.7%
-1.78 1
 
0.7%
-1.76 1
 
0.7%
-1.74 1
 
0.7%
ValueCountFrequency (%)
-1.52 29
20.1%
-1.53 20
13.9%
-1.54 5
 
3.5%
-1.56 1
 
0.7%
-1.58 1
 
0.7%
-1.59 1
 
0.7%
-1.6 2
 
1.4%
-1.62 1
 
0.7%
-1.63 1
 
0.7%
-1.66 1
 
0.7%

2016-02-25
Real number (ℝ)

Distinct35
Distinct (%)24.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.7693056
Minimum-1.9
Maximum-1.49
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:42.382552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.9
5-th percentile-1.89
Q1-1.88
median-1.85
Q3-1.6175
95-th percentile-1.53
Maximum-1.49
Range0.41
Interquartile range (IQR)0.2625

Descriptive statistics

Standard deviation0.14318872
Coefficient of variation (CV)-0.080929337
Kurtosis-1.2134798
Mean-1.7693056
Median Absolute Deviation (MAD)0.04
Skewness0.75071097
Sum-254.78
Variance0.020503011
MonotonicityNot monotonic
2023-12-11T12:21:42.511940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
-1.88 48
33.3%
-1.89 18
 
12.5%
-1.54 10
 
6.9%
-1.83 9
 
6.2%
-1.53 6
 
4.2%
-1.56 5
 
3.5%
-1.82 4
 
2.8%
-1.84 4
 
2.8%
-1.55 4
 
2.8%
-1.9 3
 
2.1%
Other values (25) 33
22.9%
ValueCountFrequency (%)
-1.9 3
 
2.1%
-1.89 18
 
12.5%
-1.88 48
33.3%
-1.87 1
 
0.7%
-1.86 1
 
0.7%
-1.85 2
 
1.4%
-1.84 4
 
2.8%
-1.83 9
 
6.2%
-1.82 4
 
2.8%
-1.8 1
 
0.7%
ValueCountFrequency (%)
-1.49 1
 
0.7%
-1.5 1
 
0.7%
-1.51 1
 
0.7%
-1.53 6
4.2%
-1.54 10
6.9%
-1.55 4
 
2.8%
-1.56 5
3.5%
-1.57 2
 
1.4%
-1.58 3
 
2.1%
-1.59 1
 
0.7%

2016-02-26
Real number (ℝ)

Distinct31
Distinct (%)21.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.7058333
Minimum-1.88
Maximum-1.48
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:42.637663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.88
5-th percentile-1.88
Q1-1.79
median-1.775
Q3-1.555
95-th percentile-1.49
Maximum-1.48
Range0.4
Interquartile range (IQR)0.235

Descriptive statistics

Standard deviation0.13518958
Coefficient of variation (CV)-0.079251344
Kurtosis-1.1842618
Mean-1.7058333
Median Absolute Deviation (MAD)0.05
Skewness0.57407188
Sum-245.64
Variance0.018276224
MonotonicityNot monotonic
2023-12-11T12:21:42.765765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
-1.78 32
22.2%
-1.88 18
12.5%
-1.79 16
11.1%
-1.77 14
9.7%
-1.49 14
9.7%
-1.5 8
 
5.6%
-1.51 6
 
4.2%
-1.8 5
 
3.5%
-1.54 2
 
1.4%
-1.75 2
 
1.4%
Other values (21) 27
18.8%
ValueCountFrequency (%)
-1.88 18
12.5%
-1.84 1
 
0.7%
-1.8 5
 
3.5%
-1.79 16
11.1%
-1.78 32
22.2%
-1.77 14
9.7%
-1.76 2
 
1.4%
-1.75 2
 
1.4%
-1.73 1
 
0.7%
-1.72 1
 
0.7%
ValueCountFrequency (%)
-1.48 2
 
1.4%
-1.49 14
9.7%
-1.5 8
5.6%
-1.51 6
4.2%
-1.52 2
 
1.4%
-1.53 2
 
1.4%
-1.54 2
 
1.4%
-1.56 2
 
1.4%
-1.57 2
 
1.4%
-1.58 1
 
0.7%

2016-02-27
Real number (ℝ)

Distinct32
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.614375
Minimum-1.84
Maximum-1.48
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:42.905331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.84
5-th percentile-1.79
Q1-1.75
median-1.55
Q3-1.53
95-th percentile-1.51
Maximum-1.48
Range0.36
Interquartile range (IQR)0.22

Descriptive statistics

Standard deviation0.11274526
Coefficient of variation (CV)-0.069838337
Kurtosis-1.2215641
Mean-1.614375
Median Absolute Deviation (MAD)0.04
Skewness-0.71066894
Sum-232.47
Variance0.012711495
MonotonicityNot monotonic
2023-12-11T12:21:43.047273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
-1.53 31
21.5%
-1.78 16
11.1%
-1.52 13
 
9.0%
-1.51 11
 
7.6%
-1.79 9
 
6.2%
-1.54 9
 
6.2%
-1.55 6
 
4.2%
-1.56 5
 
3.5%
-1.58 4
 
2.8%
-1.61 3
 
2.1%
Other values (22) 37
25.7%
ValueCountFrequency (%)
-1.84 1
 
0.7%
-1.83 2
 
1.4%
-1.82 1
 
0.7%
-1.8 2
 
1.4%
-1.79 9
6.2%
-1.78 16
11.1%
-1.77 2
 
1.4%
-1.76 2
 
1.4%
-1.75 2
 
1.4%
-1.74 1
 
0.7%
ValueCountFrequency (%)
-1.48 2
 
1.4%
-1.5 3
 
2.1%
-1.51 11
 
7.6%
-1.52 13
9.0%
-1.53 31
21.5%
-1.54 9
 
6.2%
-1.55 6
 
4.2%
-1.56 5
 
3.5%
-1.57 3
 
2.1%
-1.58 4
 
2.8%

2016-02-28
Real number (ℝ)

Distinct19
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5452083
Minimum-1.71
Maximum-1.51
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:43.184543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.71
5-th percentile-1.6785
Q1-1.54
median-1.53
Q3-1.52
95-th percentile-1.51
Maximum-1.51
Range0.2
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.050062461
Coefficient of variation (CV)-0.032398519
Kurtosis3.5795198
Mean-1.5452083
Median Absolute Deviation (MAD)0.01
Skewness-2.1373998
Sum-222.51
Variance0.00250625
MonotonicityNot monotonic
2023-12-11T12:21:43.302727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-1.53 41
28.5%
-1.52 30
20.8%
-1.51 29
20.1%
-1.54 11
 
7.6%
-1.55 5
 
3.5%
-1.56 5
 
3.5%
-1.71 4
 
2.8%
-1.66 2
 
1.4%
-1.69 2
 
1.4%
-1.68 2
 
1.4%
Other values (9) 13
 
9.0%
ValueCountFrequency (%)
-1.71 4
2.8%
-1.69 2
1.4%
-1.68 2
1.4%
-1.67 2
1.4%
-1.66 2
1.4%
-1.65 1
 
0.7%
-1.64 1
 
0.7%
-1.63 2
1.4%
-1.61 1
 
0.7%
-1.6 1
 
0.7%
ValueCountFrequency (%)
-1.51 29
20.1%
-1.52 30
20.8%
-1.53 41
28.5%
-1.54 11
 
7.6%
-1.55 5
 
3.5%
-1.56 5
 
3.5%
-1.57 2
 
1.4%
-1.58 1
 
0.7%
-1.59 2
 
1.4%
-1.6 1
 
0.7%

2016-02-29
Real number (ℝ)

Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5829167
Minimum-1.64
Maximum-1.53
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:43.414283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.64
5-th percentile-1.63
Q1-1.62
median-1.59
Q3-1.55
95-th percentile-1.53
Maximum-1.53
Range0.11
Interquartile range (IQR)0.07

Descriptive statistics

Standard deviation0.036236886
Coefficient of variation (CV)-0.022892478
Kurtosis-1.6042047
Mean-1.5829167
Median Absolute Deviation (MAD)0.03
Skewness0.053146164
Sum-227.94
Variance0.0013131119
MonotonicityNot monotonic
2023-12-11T12:21:43.513531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-1.61 25
17.4%
-1.54 19
13.2%
-1.55 18
12.5%
-1.63 17
11.8%
-1.62 17
11.8%
-1.56 13
9.0%
-1.53 12
8.3%
-1.6 8
 
5.6%
-1.57 7
 
4.9%
-1.59 3
 
2.1%
Other values (2) 5
 
3.5%
ValueCountFrequency (%)
-1.64 3
 
2.1%
-1.63 17
11.8%
-1.62 17
11.8%
-1.61 25
17.4%
-1.6 8
 
5.6%
-1.59 3
 
2.1%
-1.58 2
 
1.4%
-1.57 7
 
4.9%
-1.56 13
9.0%
-1.55 18
12.5%
ValueCountFrequency (%)
-1.53 12
8.3%
-1.54 19
13.2%
-1.55 18
12.5%
-1.56 13
9.0%
-1.57 7
 
4.9%
-1.58 2
 
1.4%
-1.59 3
 
2.1%
-1.6 8
 
5.6%
-1.61 25
17.4%
-1.62 17
11.8%

2016-03-01
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.58
89 
-1.57
27 
-1.59
22 
-1.6
 
6

Length

Max length5
Median length5
Mean length4.9583333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.6
2nd row-1.6
3rd row-1.6
4th row-1.59
5th row-1.59

Common Values

ValueCountFrequency (%)
-1.58 89
61.8%
-1.57 27
 
18.8%
-1.59 22
 
15.3%
-1.6 6
 
4.2%

Length

2023-12-11T12:21:43.635833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:43.748717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.58 89
61.8%
1.57 27
 
18.8%
1.59 22
 
15.3%
1.6 6
 
4.2%

2016-03-02
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.57
89 
-1.58
42 
-1.56
13 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.57
2nd row-1.58
3rd row-1.58
4th row-1.58
5th row-1.58

Common Values

ValueCountFrequency (%)
-1.57 89
61.8%
-1.58 42
29.2%
-1.56 13
 
9.0%

Length

2023-12-11T12:21:43.871033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:43.982521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.57 89
61.8%
1.58 42
29.2%
1.56 13
 
9.0%

2016-03-03
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.56
77 
-1.55
43 
-1.57
24 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.57
2nd row-1.57
3rd row-1.57
4th row-1.57
5th row-1.57

Common Values

ValueCountFrequency (%)
-1.56 77
53.5%
-1.55 43
29.9%
-1.57 24
 
16.7%

Length

2023-12-11T12:21:44.086952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:44.184921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.56 77
53.5%
1.55 43
29.9%
1.57 24
 
16.7%

2016-03-04
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.54
77 
-1.55
59 
-1.53
 
6
-1.56
 
2

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.55
2nd row-1.55
3rd row-1.55
4th row-1.55
5th row-1.55

Common Values

ValueCountFrequency (%)
-1.54 77
53.5%
-1.55 59
41.0%
-1.53 6
 
4.2%
-1.56 2
 
1.4%

Length

2023-12-11T12:21:44.294292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:44.403786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.54 77
53.5%
1.55 59
41.0%
1.53 6
 
4.2%
1.56 2
 
1.4%

2016-03-05
Categorical

Distinct5
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.53
90 
-1.52
27 
-1.54
17 
-1.51
 
7
-1.5
 
3

Length

Max length5
Median length5
Mean length4.9791667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.53
2nd row-1.53
3rd row-1.54
4th row-1.53
5th row-1.53

Common Values

ValueCountFrequency (%)
-1.53 90
62.5%
-1.52 27
 
18.8%
-1.54 17
 
11.8%
-1.51 7
 
4.9%
-1.5 3
 
2.1%

Length

2023-12-11T12:21:44.510045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:44.635001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.53 90
62.5%
1.52 27
 
18.8%
1.54 17
 
11.8%
1.51 7
 
4.9%
1.5 3
 
2.1%

2016-03-06
Real number (ℝ)

Distinct15
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.4258333
Minimum-1.5
Maximum-1.36
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:44.737236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.5
5-th percentile-1.5
Q1-1.47
median-1.41
Q3-1.39
95-th percentile-1.37
Maximum-1.36
Range0.14
Interquartile range (IQR)0.08

Descriptive statistics

Standard deviation0.042893591
Coefficient of variation (CV)-0.030083173
Kurtosis-1.1944806
Mean-1.4258333
Median Absolute Deviation (MAD)0.03
Skewness-0.33312176
Sum-205.32
Variance0.0018398601
MonotonicityNot monotonic
2023-12-11T12:21:44.857138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
-1.41 18
12.5%
-1.4 17
11.8%
-1.47 16
11.1%
-1.37 14
9.7%
-1.38 13
9.0%
-1.5 12
8.3%
-1.39 11
7.6%
-1.44 9
6.2%
-1.49 7
 
4.9%
-1.45 7
 
4.9%
Other values (5) 20
13.9%
ValueCountFrequency (%)
-1.5 12
8.3%
-1.49 7
 
4.9%
-1.48 5
 
3.5%
-1.47 16
11.1%
-1.46 2
 
1.4%
-1.45 7
 
4.9%
-1.44 9
6.2%
-1.43 7
 
4.9%
-1.42 3
 
2.1%
-1.41 18
12.5%
ValueCountFrequency (%)
-1.36 3
 
2.1%
-1.37 14
9.7%
-1.38 13
9.0%
-1.39 11
7.6%
-1.4 17
11.8%
-1.41 18
12.5%
-1.42 3
 
2.1%
-1.43 7
 
4.9%
-1.44 9
6.2%
-1.45 7
 
4.9%

2016-03-07
Categorical

Distinct5
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.33
61 
-1.34
44 
-1.35
24 
-1.32
11 
-1.36
 
4

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.36
2nd row-1.36
3rd row-1.36
4th row-1.36
5th row-1.35

Common Values

ValueCountFrequency (%)
-1.33 61
42.4%
-1.34 44
30.6%
-1.35 24
 
16.7%
-1.32 11
 
7.6%
-1.36 4
 
2.8%

Length

2023-12-11T12:21:44.985703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:45.098650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.33 61
42.4%
1.34 44
30.6%
1.35 24
 
16.7%
1.32 11
 
7.6%
1.36 4
 
2.8%

2016-03-08
Real number (ℝ)

Distinct22
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.4866667
Minimum-1.61
Maximum-1.3
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:45.206653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.61
5-th percentile-1.6
Q1-1.59
median-1.58
Q3-1.32
95-th percentile-1.31
Maximum-1.3
Range0.31
Interquartile range (IQR)0.27

Descriptive statistics

Standard deviation0.12956625
Coefficient of variation (CV)-0.087152185
Kurtosis-1.6780718
Mean-1.4866667
Median Absolute Deviation (MAD)0.02
Skewness0.51239018
Sum-214.08
Variance0.016787413
MonotonicityNot monotonic
2023-12-11T12:21:45.586036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
-1.59 49
34.0%
-1.32 24
16.7%
-1.6 18
 
12.5%
-1.31 17
 
11.8%
-1.58 12
 
8.3%
-1.3 6
 
4.2%
-1.61 2
 
1.4%
-1.57 2
 
1.4%
-1.52 1
 
0.7%
-1.56 1
 
0.7%
Other values (12) 12
 
8.3%
ValueCountFrequency (%)
-1.61 2
 
1.4%
-1.6 18
 
12.5%
-1.59 49
34.0%
-1.58 12
 
8.3%
-1.57 2
 
1.4%
-1.56 1
 
0.7%
-1.55 1
 
0.7%
-1.53 1
 
0.7%
-1.52 1
 
0.7%
-1.51 1
 
0.7%
ValueCountFrequency (%)
-1.3 6
 
4.2%
-1.31 17
11.8%
-1.32 24
16.7%
-1.33 1
 
0.7%
-1.37 1
 
0.7%
-1.38 1
 
0.7%
-1.39 1
 
0.7%
-1.4 1
 
0.7%
-1.41 1
 
0.7%
-1.42 1
 
0.7%

2016-03-09
Real number (ℝ)

Distinct32
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.7161806
Minimum-1.88
Maximum-1.45
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:45.717831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.88
5-th percentile-1.87
Q1-1.85
median-1.83
Q3-1.51
95-th percentile-1.48
Maximum-1.45
Range0.43
Interquartile range (IQR)0.34

Descriptive statistics

Standard deviation0.16173879
Coefficient of variation (CV)-0.094243457
Kurtosis-1.641455
Mean-1.7161806
Median Absolute Deviation (MAD)0.04
Skewness0.47231294
Sum-247.13
Variance0.026159436
MonotonicityNot monotonic
2023-12-11T12:21:45.854338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
-1.85 28
19.4%
-1.86 16
11.1%
-1.5 14
9.7%
-1.87 12
8.3%
-1.83 12
8.3%
-1.84 10
 
6.9%
-1.49 9
 
6.2%
-1.58 8
 
5.6%
-1.48 5
 
3.5%
-1.51 5
 
3.5%
Other values (22) 25
17.4%
ValueCountFrequency (%)
-1.88 1
 
0.7%
-1.87 12
8.3%
-1.86 16
11.1%
-1.85 28
19.4%
-1.84 10
 
6.9%
-1.83 12
8.3%
-1.82 1
 
0.7%
-1.8 1
 
0.7%
-1.78 1
 
0.7%
-1.76 1
 
0.7%
ValueCountFrequency (%)
-1.45 1
 
0.7%
-1.46 2
 
1.4%
-1.47 1
 
0.7%
-1.48 5
 
3.5%
-1.49 9
6.2%
-1.5 14
9.7%
-1.51 5
 
3.5%
-1.52 1
 
0.7%
-1.53 2
 
1.4%
-1.55 2
 
1.4%

2016-03-10
Real number (ℝ)

Distinct32
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.7654861
Minimum-1.91
Maximum-1.5
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:45.999039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.91
5-th percentile-1.9
Q1-1.89
median-1.865
Q3-1.5975
95-th percentile-1.54
Maximum-1.5
Range0.41
Interquartile range (IQR)0.2925

Descriptive statistics

Standard deviation0.14825243
Coefficient of variation (CV)-0.083972584
Kurtosis-1.4259119
Mean-1.7654861
Median Absolute Deviation (MAD)0.035
Skewness0.62875482
Sum-254.23
Variance0.021978783
MonotonicityNot monotonic
2023-12-11T12:21:46.150232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
-1.89 30
20.8%
-1.88 26
18.1%
-1.55 13
9.0%
-1.83 11
 
7.6%
-1.9 10
 
6.9%
-1.54 9
 
6.2%
-1.87 5
 
3.5%
-1.56 4
 
2.8%
-1.63 3
 
2.1%
-1.86 2
 
1.4%
Other values (22) 31
21.5%
ValueCountFrequency (%)
-1.91 1
 
0.7%
-1.9 10
 
6.9%
-1.89 30
20.8%
-1.88 26
18.1%
-1.87 5
 
3.5%
-1.86 2
 
1.4%
-1.84 1
 
0.7%
-1.83 11
 
7.6%
-1.82 2
 
1.4%
-1.8 1
 
0.7%
ValueCountFrequency (%)
-1.5 2
 
1.4%
-1.52 2
 
1.4%
-1.53 2
 
1.4%
-1.54 9
6.2%
-1.55 13
9.0%
-1.56 4
 
2.8%
-1.57 2
 
1.4%
-1.58 1
 
0.7%
-1.59 1
 
0.7%
-1.6 2
 
1.4%

2016-03-11
Real number (ℝ)

Distinct34
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.6109722
Minimum-1.87
Maximum-1.47
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:46.268672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.87
5-th percentile-1.86
Q1-1.6825
median-1.55
Q3-1.53
95-th percentile-1.5
Maximum-1.47
Range0.4
Interquartile range (IQR)0.1525

Descriptive statistics

Standard deviation0.12296636
Coefficient of variation (CV)-0.07633053
Kurtosis-0.27703459
Mean-1.6109722
Median Absolute Deviation (MAD)0.03
Skewness-1.1247036
Sum-231.98
Variance0.015120726
MonotonicityNot monotonic
2023-12-11T12:21:46.407043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
-1.54 23
16.0%
-1.53 19
13.2%
-1.55 12
 
8.3%
-1.52 12
 
8.3%
-1.86 11
 
7.6%
-1.51 8
 
5.6%
-1.57 7
 
4.9%
-1.5 6
 
4.2%
-1.59 4
 
2.8%
-1.87 4
 
2.8%
Other values (24) 38
26.4%
ValueCountFrequency (%)
-1.87 4
 
2.8%
-1.86 11
7.6%
-1.85 3
 
2.1%
-1.82 1
 
0.7%
-1.81 2
 
1.4%
-1.8 1
 
0.7%
-1.79 2
 
1.4%
-1.78 1
 
0.7%
-1.77 1
 
0.7%
-1.76 1
 
0.7%
ValueCountFrequency (%)
-1.47 2
 
1.4%
-1.48 1
 
0.7%
-1.5 6
 
4.2%
-1.51 8
 
5.6%
-1.52 12
8.3%
-1.53 19
13.2%
-1.54 23
16.0%
-1.55 12
8.3%
-1.56 1
 
0.7%
-1.57 7
 
4.9%

2016-03-12
Real number (ℝ)

Distinct26
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5647222
Minimum-1.85
Maximum-1.51
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:46.537103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.85
5-th percentile-1.7885
Q1-1.5525
median-1.53
Q3-1.51
95-th percentile-1.51
Maximum-1.51
Range0.34
Interquartile range (IQR)0.0425

Descriptive statistics

Standard deviation0.089324931
Coefficient of variation (CV)-0.057086766
Kurtosis2.8154641
Mean-1.5647222
Median Absolute Deviation (MAD)0.02
Skewness-2.0129986
Sum-225.32
Variance0.0079789433
MonotonicityNot monotonic
2023-12-11T12:21:46.660771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
-1.51 41
28.5%
-1.53 35
24.3%
-1.52 17
11.8%
-1.54 10
 
6.9%
-1.56 6
 
4.2%
-1.55 5
 
3.5%
-1.85 3
 
2.1%
-1.71 2
 
1.4%
-1.78 2
 
1.4%
-1.76 2
 
1.4%
Other values (16) 21
14.6%
ValueCountFrequency (%)
-1.85 3
2.1%
-1.83 1
 
0.7%
-1.82 1
 
0.7%
-1.81 1
 
0.7%
-1.8 1
 
0.7%
-1.79 1
 
0.7%
-1.78 2
1.4%
-1.76 2
1.4%
-1.75 2
1.4%
-1.73 2
1.4%
ValueCountFrequency (%)
-1.51 41
28.5%
-1.52 17
11.8%
-1.53 35
24.3%
-1.54 10
 
6.9%
-1.55 5
 
3.5%
-1.56 6
 
4.2%
-1.58 2
 
1.4%
-1.59 2
 
1.4%
-1.6 2
 
1.4%
-1.61 1
 
0.7%

2016-03-13
Real number (ℝ)

Distinct26
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5679167
Minimum-1.83
Maximum-1.51
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:46.785078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.83
5-th percentile-1.7685
Q1-1.56
median-1.53
Q3-1.53
95-th percentile-1.52
Maximum-1.51
Range0.32
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.079013808
Coefficient of variation (CV)-0.050394137
Kurtosis3.141851
Mean-1.5679167
Median Absolute Deviation (MAD)0.01
Skewness-2.0802097
Sum-225.78
Variance0.0062431818
MonotonicityNot monotonic
2023-12-11T12:21:46.900877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
-1.53 42
29.2%
-1.52 33
22.9%
-1.55 15
 
10.4%
-1.54 15
 
10.4%
-1.56 8
 
5.6%
-1.59 3
 
2.1%
-1.7 2
 
1.4%
-1.77 2
 
1.4%
-1.75 2
 
1.4%
-1.72 2
 
1.4%
Other values (16) 20
13.9%
ValueCountFrequency (%)
-1.83 2
1.4%
-1.82 1
0.7%
-1.81 1
0.7%
-1.8 1
0.7%
-1.79 1
0.7%
-1.77 2
1.4%
-1.76 1
0.7%
-1.75 2
1.4%
-1.74 1
0.7%
-1.73 1
0.7%
ValueCountFrequency (%)
-1.51 1
 
0.7%
-1.52 33
22.9%
-1.53 42
29.2%
-1.54 15
 
10.4%
-1.55 15
 
10.4%
-1.56 8
 
5.6%
-1.57 1
 
0.7%
-1.58 2
 
1.4%
-1.59 3
 
2.1%
-1.6 1
 
0.7%

2016-03-14
Real number (ℝ)

Distinct26
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5906944
Minimum-1.84
Maximum-1.53
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:47.016366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.84
5-th percentile-1.79
Q1-1.6
median-1.555
Q3-1.54
95-th percentile-1.53
Maximum-1.53
Range0.31
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.078148619
Coefficient of variation (CV)-0.049128618
Kurtosis2.7927018
Mean-1.5906944
Median Absolute Deviation (MAD)0.025
Skewness-1.8473319
Sum-229.06
Variance0.0061072067
MonotonicityNot monotonic
2023-12-11T12:21:47.131846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
-1.53 30
20.8%
-1.54 28
19.4%
-1.59 20
13.9%
-1.6 14
9.7%
-1.55 14
9.7%
-1.61 7
 
4.9%
-1.62 4
 
2.8%
-1.84 3
 
2.1%
-1.75 2
 
1.4%
-1.57 2
 
1.4%
Other values (16) 20
13.9%
ValueCountFrequency (%)
-1.84 3
2.1%
-1.83 1
 
0.7%
-1.82 1
 
0.7%
-1.81 1
 
0.7%
-1.8 1
 
0.7%
-1.79 2
1.4%
-1.77 2
1.4%
-1.75 2
1.4%
-1.73 1
 
0.7%
-1.72 1
 
0.7%
ValueCountFrequency (%)
-1.53 30
20.8%
-1.54 28
19.4%
-1.55 14
9.7%
-1.56 1
 
0.7%
-1.57 2
 
1.4%
-1.58 1
 
0.7%
-1.59 20
13.9%
-1.6 14
9.7%
-1.61 7
 
4.9%
-1.62 4
 
2.8%

2016-03-15
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.58
74 
-1.59
55 
-1.6
14 
-1.57
 
1

Length

Max length5
Median length5
Mean length4.9027778
Min length4

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row-1.6
2nd row-1.6
3rd row-1.6
4th row-1.6
5th row-1.6

Common Values

ValueCountFrequency (%)
-1.58 74
51.4%
-1.59 55
38.2%
-1.6 14
 
9.7%
-1.57 1
 
0.7%

Length

2023-12-11T12:21:47.262495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:47.382063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.58 74
51.4%
1.59 55
38.2%
1.6 14
 
9.7%
1.57 1
 
0.7%

2016-03-16
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.57
91 
-1.58
50 
-1.56
 
3

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.58
2nd row-1.58
3rd row-1.58
4th row-1.58
5th row-1.58

Common Values

ValueCountFrequency (%)
-1.57 91
63.2%
-1.58 50
34.7%
-1.56 3
 
2.1%

Length

2023-12-11T12:21:47.486633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:47.582877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.57 91
63.2%
1.58 50
34.7%
1.56 3
 
2.1%

2016-03-17
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.56
83 
-1.55
40 
-1.57
21 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.57
2nd row-1.57
3rd row-1.57
4th row-1.57
5th row-1.57

Common Values

ValueCountFrequency (%)
-1.56 83
57.6%
-1.55 40
27.8%
-1.57 21
 
14.6%

Length

2023-12-11T12:21:47.697491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:47.800678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.56 83
57.6%
1.55 40
27.8%
1.57 21
 
14.6%

2016-03-18
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.53
54 
-1.54
48 
-1.55
41 
-1.56
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row-1.55
2nd row-1.55
3rd row-1.55
4th row-1.55
5th row-1.55

Common Values

ValueCountFrequency (%)
-1.53 54
37.5%
-1.54 48
33.3%
-1.55 41
28.5%
-1.56 1
 
0.7%

Length

2023-12-11T12:21:47.951854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:48.061891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.53 54
37.5%
1.54 48
33.3%
1.55 41
28.5%
1.56 1
 
0.7%

2016-03-19
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
102 
-1.53
42 

Length

Max length5
Median length4
Mean length4.2916667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.53
2nd row-1.53
3rd row-1.53
4th row-1.53
5th row-1.53

Common Values

ValueCountFrequency (%)
<NA> 102
70.8%
-1.53 42
29.2%

Length

2023-12-11T12:21:48.228900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:48.326533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 102
70.8%
1.53 42
29.2%

2016-03-20
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.51
66 
<NA>
39 
-1.52
39 

Length

Max length5
Median length5
Mean length4.7291667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
-1.51 66
45.8%
<NA> 39
27.1%
-1.52 39
27.1%

Length

2023-12-11T12:21:48.435946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:48.539382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.51 66
45.8%
na 39
27.1%
1.52 39
27.1%

2016-03-21
Real number (ℝ)

MISSING 

Distinct13
Distinct (%)11.1%
Missing27
Missing (%)18.8%
Infinite0
Infinite (%)0.0%
Mean-1.6264103
Minimum-1.67
Maximum-1.5
Zeros0
Zeros (%)0.0%
Negative117
Negative (%)81.2%
Memory size1.4 KiB
2023-12-11T12:21:48.635866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.67
5-th percentile-1.66
Q1-1.65
median-1.65
Q3-1.64
95-th percentile-1.508
Maximum-1.5
Range0.17
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.052743059
Coefficient of variation (CV)-0.032429123
Kurtosis1.1263381
Mean-1.6264103
Median Absolute Deviation (MAD)0
Skewness1.6896231
Sum-190.29
Variance0.0027818302
MonotonicityNot monotonic
2023-12-11T12:21:48.776566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
-1.65 67
46.5%
-1.66 18
 
12.5%
-1.51 10
 
6.9%
-1.5 6
 
4.2%
-1.64 6
 
4.2%
-1.57 2
 
1.4%
-1.67 2
 
1.4%
-1.53 1
 
0.7%
-1.55 1
 
0.7%
-1.56 1
 
0.7%
Other values (3) 3
 
2.1%
(Missing) 27
18.8%
ValueCountFrequency (%)
-1.67 2
 
1.4%
-1.66 18
 
12.5%
-1.65 67
46.5%
-1.64 6
 
4.2%
-1.62 1
 
0.7%
-1.6 1
 
0.7%
-1.58 1
 
0.7%
-1.57 2
 
1.4%
-1.56 1
 
0.7%
-1.55 1
 
0.7%
ValueCountFrequency (%)
-1.5 6
4.2%
-1.51 10
6.9%
-1.53 1
 
0.7%
-1.55 1
 
0.7%
-1.56 1
 
0.7%
-1.57 2
 
1.4%
-1.58 1
 
0.7%
-1.6 1
 
0.7%
-1.62 1
 
0.7%
-1.64 6
4.2%

2016-03-22
Real number (ℝ)

Distinct20
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.79125
Minimum-1.9
Maximum-1.64
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:48.960592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.9
5-th percentile-1.88
Q1-1.88
median-1.87
Q3-1.65
95-th percentile-1.64
Maximum-1.64
Range0.26
Interquartile range (IQR)0.23

Descriptive statistics

Standard deviation0.10908311
Coefficient of variation (CV)-0.060897761
Kurtosis-1.6757057
Mean-1.79125
Median Absolute Deviation (MAD)0.01
Skewness0.51398429
Sum-257.94
Variance0.011899126
MonotonicityNot monotonic
2023-12-11T12:21:49.077470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
-1.88 66
45.8%
-1.65 23
 
16.0%
-1.64 23
 
16.0%
-1.87 11
 
7.6%
-1.9 2
 
1.4%
-1.89 2
 
1.4%
-1.7 2
 
1.4%
-1.71 2
 
1.4%
-1.86 2
 
1.4%
-1.83 1
 
0.7%
Other values (10) 10
 
6.9%
ValueCountFrequency (%)
-1.9 2
 
1.4%
-1.89 2
 
1.4%
-1.88 66
45.8%
-1.87 11
 
7.6%
-1.86 2
 
1.4%
-1.85 1
 
0.7%
-1.84 1
 
0.7%
-1.83 1
 
0.7%
-1.82 1
 
0.7%
-1.8 1
 
0.7%
ValueCountFrequency (%)
-1.64 23
16.0%
-1.65 23
16.0%
-1.66 1
 
0.7%
-1.68 1
 
0.7%
-1.7 2
 
1.4%
-1.71 2
 
1.4%
-1.72 1
 
0.7%
-1.74 1
 
0.7%
-1.77 1
 
0.7%
-1.79 1
 
0.7%

2016-03-23
Real number (ℝ)

Distinct34
Distinct (%)23.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.6983333
Minimum-1.88
Maximum-1.45
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:49.204003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.88
5-th percentile-1.82
Q1-1.8
median-1.78
Q3-1.5275
95-th percentile-1.48
Maximum-1.45
Range0.43
Interquartile range (IQR)0.2725

Descriptive statistics

Standard deviation0.13803314
Coefficient of variation (CV)-0.081275645
Kurtosis-1.3026983
Mean-1.6983333
Median Absolute Deviation (MAD)0.04
Skewness0.6698625
Sum-244.56
Variance0.019053147
MonotonicityNot monotonic
2023-12-11T12:21:49.331800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
-1.79 19
13.2%
-1.82 17
11.8%
-1.8 16
11.1%
-1.78 14
 
9.7%
-1.81 12
 
8.3%
-1.5 11
 
7.6%
-1.49 6
 
4.2%
-1.48 6
 
4.2%
-1.51 5
 
3.5%
-1.88 3
 
2.1%
Other values (24) 35
24.3%
ValueCountFrequency (%)
-1.88 3
 
2.1%
-1.86 1
 
0.7%
-1.82 17
11.8%
-1.81 12
8.3%
-1.8 16
11.1%
-1.79 19
13.2%
-1.78 14
9.7%
-1.77 2
 
1.4%
-1.75 1
 
0.7%
-1.74 2
 
1.4%
ValueCountFrequency (%)
-1.45 1
 
0.7%
-1.46 3
 
2.1%
-1.47 3
 
2.1%
-1.48 6
4.2%
-1.49 6
4.2%
-1.5 11
7.6%
-1.51 5
3.5%
-1.52 1
 
0.7%
-1.53 1
 
0.7%
-1.54 1
 
0.7%

2016-03-24
Real number (ℝ)

Distinct27
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.701875
Minimum-1.81
Maximum-1.48
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:49.461964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.81
5-th percentile-1.81
Q1-1.8
median-1.78
Q3-1.56
95-th percentile-1.5015
Maximum-1.48
Range0.33
Interquartile range (IQR)0.24

Descriptive statistics

Standard deviation0.12297006
Coefficient of variation (CV)-0.072255633
Kurtosis-1.3378408
Mean-1.701875
Median Absolute Deviation (MAD)0.02
Skewness0.7151473
Sum-245.07
Variance0.015121635
MonotonicityNot monotonic
2023-12-11T12:21:49.580162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
-1.79 31
21.5%
-1.8 29
20.1%
-1.78 17
11.8%
-1.52 14
9.7%
-1.81 9
 
6.2%
-1.51 8
 
5.6%
-1.5 4
 
2.8%
-1.59 3
 
2.1%
-1.56 3
 
2.1%
-1.54 3
 
2.1%
Other values (17) 23
16.0%
ValueCountFrequency (%)
-1.81 9
 
6.2%
-1.8 29
20.1%
-1.79 31
21.5%
-1.78 17
11.8%
-1.77 2
 
1.4%
-1.76 1
 
0.7%
-1.75 1
 
0.7%
-1.73 1
 
0.7%
-1.71 1
 
0.7%
-1.7 1
 
0.7%
ValueCountFrequency (%)
-1.48 2
 
1.4%
-1.49 2
 
1.4%
-1.5 4
 
2.8%
-1.51 8
5.6%
-1.52 14
9.7%
-1.53 1
 
0.7%
-1.54 3
 
2.1%
-1.56 3
 
2.1%
-1.57 2
 
1.4%
-1.58 2
 
1.4%

2016-03-25
Real number (ℝ)

Distinct31
Distinct (%)21.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.58125
Minimum-1.81
Maximum-1.47
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:49.713226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.81
5-th percentile-1.78
Q1-1.6225
median-1.53
Q3-1.52
95-th percentile-1.5
Maximum-1.47
Range0.34
Interquartile range (IQR)0.1025

Descriptive statistics

Standard deviation0.099803128
Coefficient of variation (CV)-0.063116603
Kurtosis-0.1481692
Mean-1.58125
Median Absolute Deviation (MAD)0.02
Skewness-1.2050584
Sum-227.7
Variance0.0099606643
MonotonicityNot monotonic
2023-12-11T12:21:49.869390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
-1.52 42
29.2%
-1.51 15
 
10.4%
-1.78 13
 
9.0%
-1.53 12
 
8.3%
-1.54 8
 
5.6%
-1.5 7
 
4.9%
-1.55 5
 
3.5%
-1.56 4
 
2.8%
-1.58 3
 
2.1%
-1.57 3
 
2.1%
Other values (21) 32
22.2%
ValueCountFrequency (%)
-1.81 2
 
1.4%
-1.8 1
 
0.7%
-1.79 1
 
0.7%
-1.78 13
9.0%
-1.77 2
 
1.4%
-1.76 1
 
0.7%
-1.75 1
 
0.7%
-1.74 2
 
1.4%
-1.73 1
 
0.7%
-1.72 2
 
1.4%
ValueCountFrequency (%)
-1.47 2
 
1.4%
-1.49 3
 
2.1%
-1.5 7
 
4.9%
-1.51 15
 
10.4%
-1.52 42
29.2%
-1.53 12
 
8.3%
-1.54 8
 
5.6%
-1.55 5
 
3.5%
-1.56 4
 
2.8%
-1.57 3
 
2.1%

2016-03-26
Real number (ℝ)

Distinct23
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5383333
Minimum-1.74
Maximum-1.48
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:49.989125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.74
5-th percentile-1.707
Q1-1.52
median-1.52
Q3-1.51
95-th percentile-1.5
Maximum-1.48
Range0.26
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.060221038
Coefficient of variation (CV)-0.039146937
Kurtosis4.27547
Mean-1.5383333
Median Absolute Deviation (MAD)0.01
Skewness-2.328992
Sum-221.52
Variance0.0036265734
MonotonicityNot monotonic
2023-12-11T12:21:50.111472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
-1.51 59
41.0%
-1.52 41
28.5%
-1.5 8
 
5.6%
-1.53 7
 
4.9%
-1.74 4
 
2.8%
-1.54 3
 
2.1%
-1.62 2
 
1.4%
-1.69 2
 
1.4%
-1.71 2
 
1.4%
-1.59 2
 
1.4%
Other values (13) 14
 
9.7%
ValueCountFrequency (%)
-1.74 4
2.8%
-1.73 1
 
0.7%
-1.72 1
 
0.7%
-1.71 2
1.4%
-1.69 2
1.4%
-1.68 1
 
0.7%
-1.67 1
 
0.7%
-1.66 1
 
0.7%
-1.65 1
 
0.7%
-1.64 1
 
0.7%
ValueCountFrequency (%)
-1.48 1
 
0.7%
-1.49 1
 
0.7%
-1.5 8
 
5.6%
-1.51 59
41.0%
-1.52 41
28.5%
-1.53 7
 
4.9%
-1.54 3
 
2.1%
-1.55 1
 
0.7%
-1.57 1
 
0.7%
-1.58 2
 
1.4%

2016-03-27
Real number (ℝ)

Distinct22
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5440972
Minimum-1.76
Maximum-1.5
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:50.223698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.76
5-th percentile-1.7185
Q1-1.53
median-1.52
Q3-1.51
95-th percentile-1.5
Maximum-1.5
Range0.26
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.066019844
Coefficient of variation (CV)-0.042756274
Kurtosis3.4594918
Mean-1.5440972
Median Absolute Deviation (MAD)0.01
Skewness-2.1605051
Sum-222.35
Variance0.0043586199
MonotonicityNot monotonic
2023-12-11T12:21:50.342206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
-1.51 54
37.5%
-1.52 31
21.5%
-1.53 13
 
9.0%
-1.5 11
 
7.6%
-1.55 5
 
3.5%
-1.54 4
 
2.8%
-1.75 3
 
2.1%
-1.76 2
 
1.4%
-1.73 2
 
1.4%
-1.71 2
 
1.4%
Other values (12) 17
 
11.8%
ValueCountFrequency (%)
-1.76 2
1.4%
-1.75 3
2.1%
-1.73 2
1.4%
-1.72 1
 
0.7%
-1.71 2
1.4%
-1.7 1
 
0.7%
-1.69 1
 
0.7%
-1.68 1
 
0.7%
-1.67 2
1.4%
-1.65 2
1.4%
ValueCountFrequency (%)
-1.5 11
 
7.6%
-1.51 54
37.5%
-1.52 31
21.5%
-1.53 13
 
9.0%
-1.54 4
 
2.8%
-1.55 5
 
3.5%
-1.56 2
 
1.4%
-1.57 1
 
0.7%
-1.58 1
 
0.7%
-1.59 2
 
1.4%

2016-03-28
Real number (ℝ)

Distinct19
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5692361
Minimum-1.72
Maximum-1.5
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:50.464413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.72
5-th percentile-1.66
Q1-1.6125
median-1.57
Q3-1.51
95-th percentile-1.51
Maximum-1.5
Range0.22
Interquartile range (IQR)0.1025

Descriptive statistics

Standard deviation0.05930931
Coefficient of variation (CV)-0.03779502
Kurtosis-0.92404275
Mean-1.5692361
Median Absolute Deviation (MAD)0.05
Skewness-0.43426809
Sum-225.97
Variance0.0035175942
MonotonicityNot monotonic
2023-12-11T12:21:50.568929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-1.51 44
30.6%
-1.61 26
18.1%
-1.52 20
13.9%
-1.62 18
12.5%
-1.6 7
 
4.9%
-1.63 6
 
4.2%
-1.5 4
 
2.8%
-1.66 3
 
2.1%
-1.57 3
 
2.1%
-1.7 2
 
1.4%
Other values (9) 11
 
7.6%
ValueCountFrequency (%)
-1.72 2
 
1.4%
-1.71 1
 
0.7%
-1.7 2
 
1.4%
-1.69 1
 
0.7%
-1.67 1
 
0.7%
-1.66 3
 
2.1%
-1.65 1
 
0.7%
-1.64 1
 
0.7%
-1.63 6
 
4.2%
-1.62 18
12.5%
ValueCountFrequency (%)
-1.5 4
 
2.8%
-1.51 44
30.6%
-1.52 20
13.9%
-1.53 1
 
0.7%
-1.56 2
 
1.4%
-1.57 3
 
2.1%
-1.59 1
 
0.7%
-1.6 7
 
4.9%
-1.61 26
18.1%
-1.62 18
12.5%

2016-03-29
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.6
65 
-1.61
54 
-1.62
19 
-1.59
 
6

Length

Max length5
Median length5
Mean length4.5486111
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.61
2nd row-1.61
3rd row-1.61
4th row-1.61
5th row-1.61

Common Values

ValueCountFrequency (%)
-1.6 65
45.1%
-1.61 54
37.5%
-1.62 19
 
13.2%
-1.59 6
 
4.2%

Length

2023-12-11T12:21:50.677265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:50.772655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.6 65
45.1%
1.61 54
37.5%
1.62 19
 
13.2%
1.59 6
 
4.2%

2016-03-30
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.6
88 
-1.61
36 
-1.59
20 

Length

Max length5
Median length4
Mean length4.3888889
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.61
2nd row-1.61
3rd row-1.61
4th row-1.61
5th row-1.61

Common Values

ValueCountFrequency (%)
-1.6 88
61.1%
-1.61 36
25.0%
-1.59 20
 
13.9%

Length

2023-12-11T12:21:50.874567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:50.962110image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.6 88
61.1%
1.61 36
25.0%
1.59 20
 
13.9%

2016-03-31
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.59
87 
-1.6
43 
-1.58
14 

Length

Max length5
Median length5
Mean length4.7013889
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.6
2nd row-1.6
3rd row-1.6
4th row-1.59
5th row-1.59

Common Values

ValueCountFrequency (%)
-1.59 87
60.4%
-1.6 43
29.9%
-1.58 14
 
9.7%

Length

2023-12-11T12:21:51.057791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:51.160580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.59 87
60.4%
1.6 43
29.9%
1.58 14
 
9.7%

2016-04-01
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.59
104 
-1.58
21 
-1.6
19 

Length

Max length5
Median length5
Mean length4.8680556
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.59
2nd row-1.59
3rd row-1.59
4th row-1.59
5th row-1.59

Common Values

ValueCountFrequency (%)
-1.59 104
72.2%
-1.58 21
 
14.6%
-1.6 19
 
13.2%

Length

2023-12-11T12:21:51.266985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:51.374083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.59 104
72.2%
1.58 21
 
14.6%
1.6 19
 
13.2%

2016-04-02
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.58
74 
-1.59
68 
-1.57
 
2

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.59
2nd row-1.59
3rd row-1.59
4th row-1.59
5th row-1.59

Common Values

ValueCountFrequency (%)
-1.58 74
51.4%
-1.59 68
47.2%
-1.57 2
 
1.4%

Length

2023-12-11T12:21:51.480224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:51.572342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.58 74
51.4%
1.59 68
47.2%
1.57 2
 
1.4%

2016-04-03
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.58
106 
-1.57
28 
-1.59
 
10

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.58
2nd row-1.58
3rd row-1.58
4th row-1.58
5th row-1.58

Common Values

ValueCountFrequency (%)
-1.58 106
73.6%
-1.57 28
 
19.4%
-1.59 10
 
6.9%

Length

2023-12-11T12:21:51.715243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:51.839237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.58 106
73.6%
1.57 28
 
19.4%
1.59 10
 
6.9%

2016-04-04
Categorical

IMBALANCE 

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.58
117 
-1.57
26 
-1.59
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row-1.57
2nd row-1.57
3rd row-1.57
4th row-1.57
5th row-1.57

Common Values

ValueCountFrequency (%)
-1.58 117
81.2%
-1.57 26
 
18.1%
-1.59 1
 
0.7%

Length

2023-12-11T12:21:51.987189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:52.155866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.58 117
81.2%
1.57 26
 
18.1%
1.59 1
 
0.7%

2016-04-05
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.58
75 
-1.57
69 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.58
2nd row-1.58
3rd row-1.58
4th row-1.58
5th row-1.58

Common Values

ValueCountFrequency (%)
-1.58 75
52.1%
-1.57 69
47.9%

Length

2023-12-11T12:21:52.262187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:52.682404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.58 75
52.1%
1.57 69
47.9%

2016-04-06
Real number (ℝ)

Distinct30
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5690972
Minimum-1.83
Maximum-1.49
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:52.811604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.83
5-th percentile-1.7885
Q1-1.56
median-1.56
Q3-1.51
95-th percentile-1.5
Maximum-1.49
Range0.34
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.0855334
Coefficient of variation (CV)-0.054511218
Kurtosis2.242832
Mean-1.5690972
Median Absolute Deviation (MAD)0.04
Skewness-1.7740166
Sum-225.95
Variance0.0073159625
MonotonicityNot monotonic
2023-12-11T12:21:52.953514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
-1.56 39
27.1%
-1.51 21
14.6%
-1.5 17
11.8%
-1.54 9
 
6.2%
-1.52 8
 
5.6%
-1.53 8
 
5.6%
-1.57 6
 
4.2%
-1.49 6
 
4.2%
-1.82 3
 
2.1%
-1.64 2
 
1.4%
Other values (20) 25
17.4%
ValueCountFrequency (%)
-1.83 1
 
0.7%
-1.82 3
2.1%
-1.81 1
 
0.7%
-1.8 2
1.4%
-1.79 1
 
0.7%
-1.78 1
 
0.7%
-1.77 2
1.4%
-1.75 2
1.4%
-1.74 1
 
0.7%
-1.73 1
 
0.7%
ValueCountFrequency (%)
-1.49 6
 
4.2%
-1.5 17
11.8%
-1.51 21
14.6%
-1.52 8
 
5.6%
-1.53 8
 
5.6%
-1.54 9
 
6.2%
-1.55 2
 
1.4%
-1.56 39
27.1%
-1.57 6
 
4.2%
-1.58 1
 
0.7%

2016-04-07
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)10.2%
Missing7
Missing (%)4.9%
Infinite0
Infinite (%)0.0%
Mean-1.6282482
Minimum-1.76
Maximum-1.47
Zeros0
Zeros (%)0.0%
Negative137
Negative (%)95.1%
Memory size1.4 KiB
2023-12-11T12:21:53.118197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.76
5-th percentile-1.74
Q1-1.72
median-1.7
Q3-1.48
95-th percentile-1.47
Maximum-1.47
Range0.29
Interquartile range (IQR)0.24

Descriptive statistics

Standard deviation0.11901494
Coefficient of variation (CV)-0.073093857
Kurtosis-1.727241
Mean-1.6282482
Median Absolute Deviation (MAD)0.04
Skewness0.48297077
Sum-223.07
Variance0.014164556
MonotonicityNot monotonic
2023-12-11T12:21:53.228862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-1.47 29
20.1%
-1.72 23
16.0%
-1.48 17
11.8%
-1.7 16
11.1%
-1.71 16
11.1%
-1.73 12
8.3%
-1.74 12
8.3%
-1.49 3
 
2.1%
-1.75 3
 
2.1%
-1.76 2
 
1.4%
Other values (4) 4
 
2.8%
(Missing) 7
 
4.9%
ValueCountFrequency (%)
-1.76 2
 
1.4%
-1.75 3
 
2.1%
-1.74 12
8.3%
-1.73 12
8.3%
-1.72 23
16.0%
-1.71 16
11.1%
-1.7 16
11.1%
-1.69 1
 
0.7%
-1.54 1
 
0.7%
-1.53 1
 
0.7%
ValueCountFrequency (%)
-1.47 29
20.1%
-1.48 17
11.8%
-1.49 3
 
2.1%
-1.52 1
 
0.7%
-1.53 1
 
0.7%
-1.54 1
 
0.7%
-1.69 1
 
0.7%
-1.7 16
11.1%
-1.71 16
11.1%
-1.72 23
16.0%

2016-04-08
Real number (ℝ)

Distinct29
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.6916667
Minimum-1.82
Maximum-1.46
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:53.357627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.82
5-th percentile-1.81
Q1-1.8
median-1.8
Q3-1.53
95-th percentile-1.49
Maximum-1.46
Range0.36
Interquartile range (IQR)0.27

Descriptive statistics

Standard deviation0.13329603
Coefficient of variation (CV)-0.078795684
Kurtosis-1.5483176
Mean-1.6916667
Median Absolute Deviation (MAD)0.01
Skewness0.53158719
Sum-243.6
Variance0.017767832
MonotonicityNot monotonic
2023-12-11T12:21:53.477734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
-1.8 52
36.1%
-1.81 20
 
13.9%
-1.5 12
 
8.3%
-1.52 8
 
5.6%
-1.7 7
 
4.9%
-1.51 6
 
4.2%
-1.49 5
 
3.5%
-1.53 4
 
2.8%
-1.82 3
 
2.1%
-1.54 3
 
2.1%
Other values (19) 24
16.7%
ValueCountFrequency (%)
-1.82 3
 
2.1%
-1.81 20
 
13.9%
-1.8 52
36.1%
-1.79 1
 
0.7%
-1.78 1
 
0.7%
-1.77 1
 
0.7%
-1.76 1
 
0.7%
-1.75 1
 
0.7%
-1.74 1
 
0.7%
-1.72 1
 
0.7%
ValueCountFrequency (%)
-1.46 2
 
1.4%
-1.48 2
 
1.4%
-1.49 5
3.5%
-1.5 12
8.3%
-1.51 6
4.2%
-1.52 8
5.6%
-1.53 4
 
2.8%
-1.54 3
 
2.1%
-1.56 1
 
0.7%
-1.57 3
 
2.1%

2016-04-09
Real number (ℝ)

Distinct31
Distinct (%)21.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.7675694
Minimum-1.9
Maximum-1.51
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:53.614075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.9
5-th percentile-1.89
Q1-1.88
median-1.87
Q3-1.61
95-th percentile-1.5415
Maximum-1.51
Range0.39
Interquartile range (IQR)0.27

Descriptive statistics

Standard deviation0.13825712
Coefficient of variation (CV)-0.078218775
Kurtosis-1.3673143
Mean-1.7675694
Median Absolute Deviation (MAD)0.03
Skewness0.62783043
Sum-254.53
Variance0.01911503
MonotonicityNot monotonic
2023-12-11T12:21:53.776432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
-1.88 39
27.1%
-1.89 17
11.8%
-1.87 11
 
7.6%
-1.79 10
 
6.9%
-1.56 8
 
5.6%
-1.58 7
 
4.9%
-1.9 6
 
4.2%
-1.57 6
 
4.2%
-1.54 5
 
3.5%
-1.8 4
 
2.8%
Other values (21) 31
21.5%
ValueCountFrequency (%)
-1.9 6
 
4.2%
-1.89 17
11.8%
-1.88 39
27.1%
-1.87 11
 
7.6%
-1.86 1
 
0.7%
-1.84 1
 
0.7%
-1.83 1
 
0.7%
-1.81 1
 
0.7%
-1.8 4
 
2.8%
-1.79 10
 
6.9%
ValueCountFrequency (%)
-1.51 2
 
1.4%
-1.53 1
 
0.7%
-1.54 5
3.5%
-1.55 3
 
2.1%
-1.56 8
5.6%
-1.57 6
4.2%
-1.58 7
4.9%
-1.59 1
 
0.7%
-1.6 2
 
1.4%
-1.61 2
 
1.4%

2016-04-10
Real number (ℝ)

Distinct21
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5676389
Minimum-1.88
Maximum-1.47
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:53.914267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.88
5-th percentile-1.87
Q1-1.53
median-1.52
Q3-1.52
95-th percentile-1.5
Maximum-1.47
Range0.41
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.11437263
Coefficient of variation (CV)-0.072958533
Kurtosis2.9207596
Mean-1.5676389
Median Absolute Deviation (MAD)0.01
Skewness-2.1480119
Sum-225.74
Variance0.013081099
MonotonicityNot monotonic
2023-12-11T12:21:54.054540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
-1.52 61
42.4%
-1.53 30
20.8%
-1.87 11
 
7.6%
-1.51 11
 
7.6%
-1.5 8
 
5.6%
-1.55 3
 
2.1%
-1.86 3
 
2.1%
-1.54 3
 
2.1%
-1.88 2
 
1.4%
-1.59 1
 
0.7%
Other values (11) 11
 
7.6%
ValueCountFrequency (%)
-1.88 2
 
1.4%
-1.87 11
7.6%
-1.86 3
 
2.1%
-1.84 1
 
0.7%
-1.74 1
 
0.7%
-1.69 1
 
0.7%
-1.65 1
 
0.7%
-1.63 1
 
0.7%
-1.62 1
 
0.7%
-1.59 1
 
0.7%
ValueCountFrequency (%)
-1.47 1
 
0.7%
-1.48 1
 
0.7%
-1.49 1
 
0.7%
-1.5 8
 
5.6%
-1.51 11
 
7.6%
-1.52 61
42.4%
-1.53 30
20.8%
-1.54 3
 
2.1%
-1.55 3
 
2.1%
-1.56 1
 
0.7%

2016-04-11
Real number (ℝ)

Distinct21
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.638125
Minimum-1.79
Maximum-1.5
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:54.196525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.79
5-th percentile-1.78
Q1-1.77
median-1.61
Q3-1.51
95-th percentile-1.5
Maximum-1.5
Range0.29
Interquartile range (IQR)0.26

Descriptive statistics

Standard deviation0.12436113
Coefficient of variation (CV)-0.075916752
Kurtosis-1.9488979
Mean-1.638125
Median Absolute Deviation (MAD)0.11
Skewness-0.024291176
Sum-235.89
Variance0.015465691
MonotonicityNot monotonic
2023-12-11T12:21:54.319138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
-1.51 32
22.2%
-1.77 29
20.1%
-1.76 25
17.4%
-1.52 15
10.4%
-1.5 15
10.4%
-1.78 8
 
5.6%
-1.53 4
 
2.8%
-1.79 2
 
1.4%
-1.57 2
 
1.4%
-1.71 1
 
0.7%
Other values (11) 11
 
7.6%
ValueCountFrequency (%)
-1.79 2
 
1.4%
-1.78 8
 
5.6%
-1.77 29
20.1%
-1.76 25
17.4%
-1.75 1
 
0.7%
-1.73 1
 
0.7%
-1.72 1
 
0.7%
-1.71 1
 
0.7%
-1.69 1
 
0.7%
-1.67 1
 
0.7%
ValueCountFrequency (%)
-1.5 15
10.4%
-1.51 32
22.2%
-1.52 15
10.4%
-1.53 4
 
2.8%
-1.55 1
 
0.7%
-1.57 2
 
1.4%
-1.58 1
 
0.7%
-1.59 1
 
0.7%
-1.6 1
 
0.7%
-1.62 1
 
0.7%

2016-04-12
Real number (ℝ)

Distinct26
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5758333
Minimum-1.76
Maximum-1.44
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:54.465180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.76
5-th percentile-1.76
Q1-1.61
median-1.54
Q3-1.51
95-th percentile-1.47
Maximum-1.44
Range0.32
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.094754006
Coefficient of variation (CV)-0.060129459
Kurtosis-0.27416818
Mean-1.5758333
Median Absolute Deviation (MAD)0.04
Skewness-0.9870141
Sum-226.92
Variance0.0089783217
MonotonicityNot monotonic
2023-12-11T12:21:54.595455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
-1.54 20
13.9%
-1.76 19
13.2%
-1.53 16
11.1%
-1.55 12
 
8.3%
-1.49 8
 
5.6%
-1.5 8
 
5.6%
-1.56 7
 
4.9%
-1.48 6
 
4.2%
-1.75 5
 
3.5%
-1.46 5
 
3.5%
Other values (16) 38
26.4%
ValueCountFrequency (%)
-1.76 19
13.2%
-1.75 5
 
3.5%
-1.73 1
 
0.7%
-1.67 3
 
2.1%
-1.66 2
 
1.4%
-1.64 3
 
2.1%
-1.63 1
 
0.7%
-1.62 1
 
0.7%
-1.61 2
 
1.4%
-1.6 1
 
0.7%
ValueCountFrequency (%)
-1.44 1
 
0.7%
-1.45 1
 
0.7%
-1.46 5
 
3.5%
-1.47 4
 
2.8%
-1.48 6
 
4.2%
-1.49 8
5.6%
-1.5 8
5.6%
-1.51 4
 
2.8%
-1.52 3
 
2.1%
-1.53 16
11.1%

2016-04-13
Real number (ℝ)

Distinct10
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5461806
Minimum-1.6
Maximum-1.5
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:54.713317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.6
5-th percentile-1.59
Q1-1.59
median-1.53
Q3-1.51
95-th percentile-1.5
Maximum-1.5
Range0.1
Interquartile range (IQR)0.08

Descriptive statistics

Standard deviation0.036661302
Coefficient of variation (CV)-0.02371088
Kurtosis-1.7484404
Mean-1.5461806
Median Absolute Deviation (MAD)0.03
Skewness-0.2160648
Sum-222.65
Variance0.0013440511
MonotonicityNot monotonic
2023-12-11T12:21:54.828399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.59 45
31.2%
-1.52 27
18.8%
-1.51 26
18.1%
-1.5 14
 
9.7%
-1.53 11
 
7.6%
-1.58 10
 
6.9%
-1.54 4
 
2.8%
-1.55 3
 
2.1%
-1.6 3
 
2.1%
-1.56 1
 
0.7%
ValueCountFrequency (%)
-1.6 3
 
2.1%
-1.59 45
31.2%
-1.58 10
 
6.9%
-1.56 1
 
0.7%
-1.55 3
 
2.1%
-1.54 4
 
2.8%
-1.53 11
 
7.6%
-1.52 27
18.8%
-1.51 26
18.1%
-1.5 14
 
9.7%
ValueCountFrequency (%)
-1.5 14
 
9.7%
-1.51 26
18.1%
-1.52 27
18.8%
-1.53 11
 
7.6%
-1.54 4
 
2.8%
-1.55 3
 
2.1%
-1.56 1
 
0.7%
-1.58 10
 
6.9%
-1.59 45
31.2%
-1.6 3
 
2.1%

2016-04-14
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.58
89 
-1.57
37 
-1.59
18 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.59
2nd row-1.59
3rd row-1.58
4th row-1.58
5th row-1.58

Common Values

ValueCountFrequency (%)
-1.58 89
61.8%
-1.57 37
25.7%
-1.59 18
 
12.5%

Length

2023-12-11T12:21:54.969197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:55.102312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.58 89
61.8%
1.57 37
25.7%
1.59 18
 
12.5%

2016-04-15
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.56
60 
-1.55
49 
-1.57
28 
-1.54

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.57
2nd row-1.57
3rd row-1.57
4th row-1.57
5th row-1.56

Common Values

ValueCountFrequency (%)
-1.56 60
41.7%
-1.55 49
34.0%
-1.57 28
19.4%
-1.54 7
 
4.9%

Length

2023-12-11T12:21:55.261048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:55.380656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.56 60
41.7%
1.55 49
34.0%
1.57 28
19.4%
1.54 7
 
4.9%

2016-04-16
Real number (ℝ)

Distinct10
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5153472
Minimum-1.54
Maximum-1.45
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:55.523537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.54
5-th percentile-1.54
Q1-1.53
median-1.52
Q3-1.51
95-th percentile-1.46
Maximum-1.45
Range0.09
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.022776297
Coefficient of variation (CV)-0.015030415
Kurtosis0.81912224
Mean-1.5153472
Median Absolute Deviation (MAD)0.01
Skewness1.1781907
Sum-218.21
Variance0.00051875971
MonotonicityNot monotonic
2023-12-11T12:21:55.651407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.52 41
28.5%
-1.54 30
20.8%
-1.51 22
15.3%
-1.53 21
14.6%
-1.49 7
 
4.9%
-1.46 7
 
4.9%
-1.5 6
 
4.2%
-1.47 5
 
3.5%
-1.48 3
 
2.1%
-1.45 2
 
1.4%
ValueCountFrequency (%)
-1.54 30
20.8%
-1.53 21
14.6%
-1.52 41
28.5%
-1.51 22
15.3%
-1.5 6
 
4.2%
-1.49 7
 
4.9%
-1.48 3
 
2.1%
-1.47 5
 
3.5%
-1.46 7
 
4.9%
-1.45 2
 
1.4%
ValueCountFrequency (%)
-1.45 2
 
1.4%
-1.46 7
 
4.9%
-1.47 5
 
3.5%
-1.48 3
 
2.1%
-1.49 7
 
4.9%
-1.5 6
 
4.2%
-1.51 22
15.3%
-1.52 41
28.5%
-1.53 21
14.6%
-1.54 30
20.8%

2016-04-17
Real number (ℝ)

Distinct24
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5024306
Minimum-1.65
Maximum-1.42
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:55.785388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.65
5-th percentile-1.6385
Q1-1.54
median-1.49
Q3-1.45
95-th percentile-1.43
Maximum-1.42
Range0.23
Interquartile range (IQR)0.09

Descriptive statistics

Standard deviation0.063886334
Coefficient of variation (CV)-0.042521988
Kurtosis-0.43092773
Mean-1.5024306
Median Absolute Deviation (MAD)0.04
Skewness-0.7617531
Sum-216.35
Variance0.0040814637
MonotonicityNot monotonic
2023-12-11T12:21:55.915558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
-1.43 22
15.3%
-1.49 13
 
9.0%
-1.45 11
 
7.6%
-1.44 9
 
6.2%
-1.48 8
 
5.6%
-1.5 8
 
5.6%
-1.46 8
 
5.6%
-1.53 8
 
5.6%
-1.47 8
 
5.6%
-1.64 6
 
4.2%
Other values (14) 43
29.9%
ValueCountFrequency (%)
-1.65 2
 
1.4%
-1.64 6
4.2%
-1.63 2
 
1.4%
-1.62 3
2.1%
-1.61 2
 
1.4%
-1.6 2
 
1.4%
-1.59 4
2.8%
-1.58 2
 
1.4%
-1.57 3
2.1%
-1.56 5
3.5%
ValueCountFrequency (%)
-1.42 1
 
0.7%
-1.43 22
15.3%
-1.44 9
6.2%
-1.45 11
7.6%
-1.46 8
 
5.6%
-1.47 8
 
5.6%
-1.48 8
 
5.6%
-1.49 13
9.0%
-1.5 8
 
5.6%
-1.51 6
 
4.2%

2016-04-18
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.42
64 
-1.41
55 
-1.43
24 
-1.44
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row-1.43
2nd row-1.42
3rd row-1.42
4th row-1.42
5th row-1.42

Common Values

ValueCountFrequency (%)
-1.42 64
44.4%
-1.41 55
38.2%
-1.43 24
 
16.7%
-1.44 1
 
0.7%

Length

2023-12-11T12:21:56.087025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:56.222213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.42 64
44.4%
1.41 55
38.2%
1.43 24
 
16.7%
1.44 1
 
0.7%

2016-04-19
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.39
64 
-1.4
38 
-1.41
22 
-1.38
20 

Length

Max length5
Median length5
Mean length4.7361111
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.41
2nd row-1.41
3rd row-1.41
4th row-1.41
5th row-1.41

Common Values

ValueCountFrequency (%)
-1.39 64
44.4%
-1.4 38
26.4%
-1.41 22
 
15.3%
-1.38 20
 
13.9%

Length

2023-12-11T12:21:56.379169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:56.499611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.39 64
44.4%
1.4 38
26.4%
1.41 22
 
15.3%
1.38 20
 
13.9%

2016-04-20
Real number (ℝ)

Distinct18
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5101389
Minimum-1.6
Maximum-1.37
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:56.651379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.6
5-th percentile-1.5985
Q1-1.58
median-1.58
Q3-1.38
95-th percentile-1.37
Maximum-1.37
Range0.23
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.095996694
Coefficient of variation (CV)-0.063568122
Kurtosis-1.5268287
Mean-1.5101389
Median Absolute Deviation (MAD)0.01
Skewness0.63773054
Sum-217.46
Variance0.0092153652
MonotonicityNot monotonic
2023-12-11T12:21:56.808081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-1.58 68
47.2%
-1.37 26
 
18.1%
-1.38 17
 
11.8%
-1.6 8
 
5.6%
-1.59 8
 
5.6%
-1.57 5
 
3.5%
-1.5 1
 
0.7%
-1.55 1
 
0.7%
-1.53 1
 
0.7%
-1.52 1
 
0.7%
Other values (8) 8
 
5.6%
ValueCountFrequency (%)
-1.6 8
 
5.6%
-1.59 8
 
5.6%
-1.58 68
47.2%
-1.57 5
 
3.5%
-1.55 1
 
0.7%
-1.53 1
 
0.7%
-1.52 1
 
0.7%
-1.5 1
 
0.7%
-1.47 1
 
0.7%
-1.46 1
 
0.7%
ValueCountFrequency (%)
-1.37 26
18.1%
-1.38 17
11.8%
-1.39 1
 
0.7%
-1.41 1
 
0.7%
-1.42 1
 
0.7%
-1.43 1
 
0.7%
-1.44 1
 
0.7%
-1.45 1
 
0.7%
-1.46 1
 
0.7%
-1.47 1
 
0.7%

2016-04-21
Real number (ℝ)

Distinct20
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.6158333
Minimum-1.72
Maximum-1.51
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:56.960859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.72
5-th percentile-1.7
Q1-1.67
median-1.64
Q3-1.55
95-th percentile-1.51
Maximum-1.51
Range0.21
Interquartile range (IQR)0.12

Descriptive statistics

Standard deviation0.066569276
Coefficient of variation (CV)-0.041198108
Kurtosis-1.3149843
Mean-1.6158333
Median Absolute Deviation (MAD)0.04
Skewness0.42766203
Sum-232.68
Variance0.0044314685
MonotonicityNot monotonic
2023-12-11T12:21:57.107382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
-1.66 20
13.9%
-1.51 17
11.8%
-1.65 14
9.7%
-1.67 12
 
8.3%
-1.64 9
 
6.2%
-1.63 9
 
6.2%
-1.52 8
 
5.6%
-1.69 8
 
5.6%
-1.68 8
 
5.6%
-1.56 6
 
4.2%
Other values (10) 33
22.9%
ValueCountFrequency (%)
-1.72 3
 
2.1%
-1.71 3
 
2.1%
-1.7 3
 
2.1%
-1.69 8
 
5.6%
-1.68 8
 
5.6%
-1.67 12
8.3%
-1.66 20
13.9%
-1.65 14
9.7%
-1.64 9
6.2%
-1.63 9
6.2%
ValueCountFrequency (%)
-1.51 17
11.8%
-1.52 8
5.6%
-1.53 5
 
3.5%
-1.54 4
 
2.8%
-1.55 5
 
3.5%
-1.56 6
 
4.2%
-1.57 5
 
3.5%
-1.58 3
 
2.1%
-1.6 1
 
0.7%
-1.62 1
 
0.7%

2016-04-22
Real number (ℝ)

Distinct23
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.6656944
Minimum-1.75
Maximum-1.5
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:57.264817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.75
5-th percentile-1.75
Q1-1.74
median-1.73
Q3-1.56
95-th percentile-1.53
Maximum-1.5
Range0.25
Interquartile range (IQR)0.18

Descriptive statistics

Standard deviation0.089752206
Coefficient of variation (CV)-0.053882755
Kurtosis-1.5606266
Mean-1.6656944
Median Absolute Deviation (MAD)0.02
Skewness0.52221845
Sum-239.86
Variance0.0080554584
MonotonicityNot monotonic
2023-12-11T12:21:57.405905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
-1.74 53
36.8%
-1.73 16
 
11.1%
-1.75 11
 
7.6%
-1.54 11
 
7.6%
-1.53 9
 
6.2%
-1.55 8
 
5.6%
-1.56 7
 
4.9%
-1.57 4
 
2.8%
-1.62 3
 
2.1%
-1.63 3
 
2.1%
Other values (13) 19
 
13.2%
ValueCountFrequency (%)
-1.75 11
 
7.6%
-1.74 53
36.8%
-1.73 16
 
11.1%
-1.72 2
 
1.4%
-1.71 1
 
0.7%
-1.7 1
 
0.7%
-1.68 1
 
0.7%
-1.66 1
 
0.7%
-1.64 1
 
0.7%
-1.63 3
 
2.1%
ValueCountFrequency (%)
-1.5 1
 
0.7%
-1.51 1
 
0.7%
-1.52 2
 
1.4%
-1.53 9
6.2%
-1.54 11
7.6%
-1.55 8
5.6%
-1.56 7
4.9%
-1.57 4
 
2.8%
-1.58 1
 
0.7%
-1.59 3
 
2.1%

2016-04-23
Real number (ℝ)

Distinct25
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.655625
Minimum-1.75
Maximum-1.48
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:57.541989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.75
5-th percentile-1.73
Q1-1.72
median-1.71
Q3-1.55
95-th percentile-1.5015
Maximum-1.48
Range0.27
Interquartile range (IQR)0.17

Descriptive statistics

Standard deviation0.089853951
Coefficient of variation (CV)-0.054271922
Kurtosis-1.209277
Mean-1.655625
Median Absolute Deviation (MAD)0.02
Skewness0.77565941
Sum-238.41
Variance0.0080737325
MonotonicityNot monotonic
2023-12-11T12:21:57.722557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
-1.72 40
27.8%
-1.71 28
19.4%
-1.73 16
 
11.1%
-1.52 10
 
6.9%
-1.51 7
 
4.9%
-1.5 5
 
3.5%
-1.74 5
 
3.5%
-1.53 5
 
3.5%
-1.55 4
 
2.8%
-1.57 3
 
2.1%
Other values (15) 21
14.6%
ValueCountFrequency (%)
-1.75 1
 
0.7%
-1.74 5
 
3.5%
-1.73 16
 
11.1%
-1.72 40
27.8%
-1.71 28
19.4%
-1.7 1
 
0.7%
-1.69 1
 
0.7%
-1.68 1
 
0.7%
-1.66 1
 
0.7%
-1.64 1
 
0.7%
ValueCountFrequency (%)
-1.48 2
 
1.4%
-1.49 1
 
0.7%
-1.5 5
3.5%
-1.51 7
4.9%
-1.52 10
6.9%
-1.53 5
3.5%
-1.54 3
 
2.1%
-1.55 4
 
2.8%
-1.56 2
 
1.4%
-1.57 3
 
2.1%

2016-04-24
Real number (ℝ)

Distinct11
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.6027083
Minimum-1.71
Maximum-1.54
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:57.863762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.71
5-th percentile-1.7
Q1-1.6
median-1.59
Q3-1.59
95-th percentile-1.57
Maximum-1.54
Range0.17
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.034382032
Coefficient of variation (CV)-0.021452457
Kurtosis4.3966244
Mean-1.6027083
Median Absolute Deviation (MAD)0
Skewness-2.2948645
Sum-230.79
Variance0.0011821241
MonotonicityNot monotonic
2023-12-11T12:21:58.014678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-1.59 78
54.2%
-1.6 28
 
19.4%
-1.7 8
 
5.6%
-1.57 8
 
5.6%
-1.58 6
 
4.2%
-1.71 5
 
3.5%
-1.62 4
 
2.8%
-1.61 3
 
2.1%
-1.63 2
 
1.4%
-1.54 1
 
0.7%
ValueCountFrequency (%)
-1.71 5
 
3.5%
-1.7 8
 
5.6%
-1.67 1
 
0.7%
-1.63 2
 
1.4%
-1.62 4
 
2.8%
-1.61 3
 
2.1%
-1.6 28
 
19.4%
-1.59 78
54.2%
-1.58 6
 
4.2%
-1.57 8
 
5.6%
ValueCountFrequency (%)
-1.54 1
 
0.7%
-1.57 8
 
5.6%
-1.58 6
 
4.2%
-1.59 78
54.2%
-1.6 28
 
19.4%
-1.61 3
 
2.1%
-1.62 4
 
2.8%
-1.63 2
 
1.4%
-1.67 1
 
0.7%
-1.7 8
 
5.6%

2016-04-25
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)11.9%
Missing10
Missing (%)6.9%
Infinite0
Infinite (%)0.0%
Mean-1.6652239
Minimum-1.78
Maximum-1.57
Zeros0
Zeros (%)0.0%
Negative134
Negative (%)93.1%
Memory size1.4 KiB
2023-12-11T12:21:58.178980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.78
5-th percentile-1.77
Q1-1.76
median-1.65
Q3-1.57
95-th percentile-1.57
Maximum-1.57
Range0.21
Interquartile range (IQR)0.19

Descriptive statistics

Standard deviation0.089255201
Coefficient of variation (CV)-0.05359952
Kurtosis-1.9498731
Mean-1.6652239
Median Absolute Deviation (MAD)0.08
Skewness-0.03104518
Sum-223.14
Variance0.0079664909
MonotonicityNot monotonic
2023-12-11T12:21:58.337347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.57 36
25.0%
-1.76 29
20.1%
-1.58 23
16.0%
-1.75 23
16.0%
-1.77 8
 
5.6%
-1.59 4
 
2.8%
-1.65 2
 
1.4%
-1.66 1
 
0.7%
-1.7 1
 
0.7%
-1.73 1
 
0.7%
Other values (6) 6
 
4.2%
(Missing) 10
 
6.9%
ValueCountFrequency (%)
-1.78 1
 
0.7%
-1.77 8
 
5.6%
-1.76 29
20.1%
-1.75 23
16.0%
-1.74 1
 
0.7%
-1.73 1
 
0.7%
-1.7 1
 
0.7%
-1.68 1
 
0.7%
-1.66 1
 
0.7%
-1.65 2
 
1.4%
ValueCountFrequency (%)
-1.57 36
25.0%
-1.58 23
16.0%
-1.59 4
 
2.8%
-1.61 1
 
0.7%
-1.63 1
 
0.7%
-1.64 1
 
0.7%
-1.65 2
 
1.4%
-1.66 1
 
0.7%
-1.68 1
 
0.7%
-1.7 1
 
0.7%

2016-04-26
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)21.9%
Missing30
Missing (%)20.8%
Infinite0
Infinite (%)0.0%
Mean-1.5073684
Minimum-1.67
Maximum-1.41
Zeros0
Zeros (%)0.0%
Negative114
Negative (%)79.2%
Memory size1.4 KiB
2023-12-11T12:21:58.467014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.67
5-th percentile-1.6335
Q1-1.51
median-1.5
Q3-1.47
95-th percentile-1.44
Maximum-1.41
Range0.26
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.055686427
Coefficient of variation (CV)-0.036942811
Kurtosis1.5280713
Mean-1.5073684
Median Absolute Deviation (MAD)0.02
Skewness-1.2260577
Sum-171.84
Variance0.0031009781
MonotonicityNot monotonic
2023-12-11T12:21:58.626975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
-1.5 25
17.4%
-1.51 19
13.2%
-1.45 9
 
6.2%
-1.49 9
 
6.2%
-1.46 8
 
5.6%
-1.44 6
 
4.2%
-1.52 6
 
4.2%
-1.47 4
 
2.8%
-1.48 3
 
2.1%
-1.53 3
 
2.1%
Other values (15) 22
15.3%
(Missing) 30
20.8%
ValueCountFrequency (%)
-1.67 2
1.4%
-1.66 2
1.4%
-1.65 1
0.7%
-1.64 1
0.7%
-1.63 2
1.4%
-1.62 2
1.4%
-1.6 2
1.4%
-1.59 1
0.7%
-1.58 1
0.7%
-1.57 1
0.7%
ValueCountFrequency (%)
-1.41 2
 
1.4%
-1.42 1
 
0.7%
-1.44 6
 
4.2%
-1.45 9
 
6.2%
-1.46 8
 
5.6%
-1.47 4
 
2.8%
-1.48 3
 
2.1%
-1.49 9
 
6.2%
-1.5 25
17.4%
-1.51 19
13.2%

2016-04-27
Real number (ℝ)

Distinct11
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5158333
Minimum-1.56
Maximum-1.46
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:58.775152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.56
5-th percentile-1.56
Q1-1.55
median-1.51
Q3-1.48
95-th percentile-1.47
Maximum-1.46
Range0.1
Interquartile range (IQR)0.07

Descriptive statistics

Standard deviation0.034932502
Coefficient of variation (CV)-0.023045081
Kurtosis-1.7314512
Mean-1.5158333
Median Absolute Deviation (MAD)0.04
Skewness0.086562675
Sum-218.28
Variance0.0012202797
MonotonicityNot monotonic
2023-12-11T12:21:58.907363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-1.55 45
31.2%
-1.47 25
17.4%
-1.48 17
 
11.8%
-1.56 14
 
9.7%
-1.5 13
 
9.0%
-1.49 13
 
9.0%
-1.54 8
 
5.6%
-1.51 5
 
3.5%
-1.53 2
 
1.4%
-1.46 1
 
0.7%
ValueCountFrequency (%)
-1.56 14
 
9.7%
-1.55 45
31.2%
-1.54 8
 
5.6%
-1.53 2
 
1.4%
-1.52 1
 
0.7%
-1.51 5
 
3.5%
-1.5 13
 
9.0%
-1.49 13
 
9.0%
-1.48 17
 
11.8%
-1.47 25
17.4%
ValueCountFrequency (%)
-1.46 1
 
0.7%
-1.47 25
17.4%
-1.48 17
 
11.8%
-1.49 13
 
9.0%
-1.5 13
 
9.0%
-1.51 5
 
3.5%
-1.52 1
 
0.7%
-1.53 2
 
1.4%
-1.54 8
 
5.6%
-1.55 45
31.2%

2016-04-28
Real number (ℝ)

Distinct10
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5040278
Minimum-1.56
Maximum-1.47
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:21:59.026191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.56
5-th percentile-1.55
Q1-1.52
median-1.5
Q3-1.48
95-th percentile-1.48
Maximum-1.47
Range0.09
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.023244503
Coefficient of variation (CV)-0.015454836
Kurtosis-0.6346
Mean-1.5040278
Median Absolute Deviation (MAD)0.02
Skewness-0.68942618
Sum-216.58
Variance0.00054030692
MonotonicityNot monotonic
2023-12-11T12:21:59.134971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
-1.48 38
26.4%
-1.49 24
16.7%
-1.5 23
16.0%
-1.52 14
 
9.7%
-1.55 13
 
9.0%
-1.51 13
 
9.0%
-1.53 12
 
8.3%
-1.54 4
 
2.8%
-1.47 2
 
1.4%
-1.56 1
 
0.7%
ValueCountFrequency (%)
-1.56 1
 
0.7%
-1.55 13
 
9.0%
-1.54 4
 
2.8%
-1.53 12
 
8.3%
-1.52 14
 
9.7%
-1.51 13
 
9.0%
-1.5 23
16.0%
-1.49 24
16.7%
-1.48 38
26.4%
-1.47 2
 
1.4%
ValueCountFrequency (%)
-1.47 2
 
1.4%
-1.48 38
26.4%
-1.49 24
16.7%
-1.5 23
16.0%
-1.51 13
 
9.0%
-1.52 14
 
9.7%
-1.53 12
 
8.3%
-1.54 4
 
2.8%
-1.55 13
 
9.0%
-1.56 1
 
0.7%

2016-04-29
Categorical

Distinct6
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.45
56 
-1.46
41 
-1.47
18 
<NA>
12 
-1.44
12 

Length

Max length5
Median length5
Mean length4.9166667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.48
2nd row-1.48
3rd row-1.48
4th row-1.48
5th row-1.48

Common Values

ValueCountFrequency (%)
-1.45 56
38.9%
-1.46 41
28.5%
-1.47 18
 
12.5%
<NA> 12
 
8.3%
-1.44 12
 
8.3%
-1.48 5
 
3.5%

Length

2023-12-11T12:21:59.251312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:59.401202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.45 56
38.9%
1.46 41
28.5%
1.47 18
 
12.5%
na 12
 
8.3%
1.44 12
 
8.3%
1.48 5
 
3.5%

2016-04-30
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.44
60 
-1.42
35 
-1.43
34 
-1.45
15 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.44
2nd row-1.44
3rd row-1.44
4th row-1.44
5th row-1.44

Common Values

ValueCountFrequency (%)
-1.44 60
41.7%
-1.42 35
24.3%
-1.43 34
23.6%
-1.45 15
 
10.4%

Length

2023-12-11T12:21:59.573914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:21:59.727200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.44 60
41.7%
1.42 35
24.3%
1.43 34
23.6%
1.45 15
 
10.4%

2016-05-01
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.41
67 
-1.42
51 
-1.43
18 
-1.44

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.42
2nd row-1.42
3rd row-1.42
4th row-1.42
5th row-1.42

Common Values

ValueCountFrequency (%)
-1.41 67
46.5%
-1.42 51
35.4%
-1.43 18
 
12.5%
-1.44 8
 
5.6%

Length

2023-12-11T12:21:59.889015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:00.031340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.41 67
46.5%
1.42 51
35.4%
1.43 18
 
12.5%
1.44 8
 
5.6%

2016-05-02
Real number (ℝ)

Distinct9
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.3849306
Minimum-1.41
Maximum-1.33
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:00.165055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.41
5-th percentile-1.41
Q1-1.39
median-1.39
Q3-1.38
95-th percentile-1.34
Maximum-1.33
Range0.08
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.019287901
Coefficient of variation (CV)-0.01392698
Kurtosis0.626403
Mean-1.3849306
Median Absolute Deviation (MAD)0.01
Skewness1.0388548
Sum-199.43
Variance0.00037202312
MonotonicityNot monotonic
2023-12-11T12:22:00.287842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-1.39 66
45.8%
-1.41 20
 
13.9%
-1.4 14
 
9.7%
-1.38 12
 
8.3%
-1.36 11
 
7.6%
-1.34 8
 
5.6%
-1.37 7
 
4.9%
-1.35 4
 
2.8%
-1.33 2
 
1.4%
ValueCountFrequency (%)
-1.41 20
 
13.9%
-1.4 14
 
9.7%
-1.39 66
45.8%
-1.38 12
 
8.3%
-1.37 7
 
4.9%
-1.36 11
 
7.6%
-1.35 4
 
2.8%
-1.34 8
 
5.6%
-1.33 2
 
1.4%
ValueCountFrequency (%)
-1.33 2
 
1.4%
-1.34 8
 
5.6%
-1.35 4
 
2.8%
-1.36 11
 
7.6%
-1.37 7
 
4.9%
-1.38 12
 
8.3%
-1.39 66
45.8%
-1.4 14
 
9.7%
-1.41 20
 
13.9%

2016-05-03
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)11.1%
Missing45
Missing (%)31.2%
Infinite0
Infinite (%)0.0%
Mean-1.3270707
Minimum-1.39
Maximum-1.29
Zeros0
Zeros (%)0.0%
Negative99
Negative (%)68.8%
Memory size1.4 KiB
2023-12-11T12:22:00.436004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.39
5-th percentile-1.37
Q1-1.335
median-1.32
Q3-1.32
95-th percentile-1.299
Maximum-1.29
Range0.1
Interquartile range (IQR)0.015

Descriptive statistics

Standard deviation0.021677249
Coefficient of variation (CV)-0.01633466
Kurtosis0.34266399
Mean-1.3270707
Median Absolute Deviation (MAD)0.01
Skewness-0.7608513
Sum-131.38
Variance0.00046990311
MonotonicityNot monotonic
2023-12-11T12:22:00.910078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-1.32 34
23.6%
-1.33 16
 
11.1%
-1.31 12
 
8.3%
-1.36 8
 
5.6%
-1.3 7
 
4.9%
-1.34 6
 
4.2%
-1.29 5
 
3.5%
-1.35 4
 
2.8%
-1.37 4
 
2.8%
-1.38 2
 
1.4%
(Missing) 45
31.2%
ValueCountFrequency (%)
-1.39 1
 
0.7%
-1.38 2
 
1.4%
-1.37 4
 
2.8%
-1.36 8
 
5.6%
-1.35 4
 
2.8%
-1.34 6
 
4.2%
-1.33 16
11.1%
-1.32 34
23.6%
-1.31 12
 
8.3%
-1.3 7
 
4.9%
ValueCountFrequency (%)
-1.29 5
 
3.5%
-1.3 7
 
4.9%
-1.31 12
 
8.3%
-1.32 34
23.6%
-1.33 16
11.1%
-1.34 6
 
4.2%
-1.35 4
 
2.8%
-1.36 8
 
5.6%
-1.37 4
 
2.8%
-1.38 2
 
1.4%

2016-05-04
Real number (ℝ)

Distinct7
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.2804861
Minimum-1.31
Maximum-1.25
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:01.039318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.31
5-th percentile-1.3
Q1-1.29
median-1.28
Q3-1.27
95-th percentile-1.26
Maximum-1.25
Range0.06
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.012534141
Coefficient of variation (CV)-0.0097885805
Kurtosis-0.0034563161
Mean-1.2804861
Median Absolute Deviation (MAD)0.01
Skewness-0.036806964
Sum-184.39
Variance0.0001571047
MonotonicityNot monotonic
2023-12-11T12:22:01.171772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-1.28 43
29.9%
-1.27 39
27.1%
-1.29 34
23.6%
-1.3 13
 
9.0%
-1.26 7
 
4.9%
-1.31 4
 
2.8%
-1.25 4
 
2.8%
ValueCountFrequency (%)
-1.31 4
 
2.8%
-1.3 13
 
9.0%
-1.29 34
23.6%
-1.28 43
29.9%
-1.27 39
27.1%
-1.26 7
 
4.9%
-1.25 4
 
2.8%
ValueCountFrequency (%)
-1.25 4
 
2.8%
-1.26 7
 
4.9%
-1.27 39
27.1%
-1.28 43
29.9%
-1.29 34
23.6%
-1.3 13
 
9.0%
-1.31 4
 
2.8%

2016-05-05
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.24
95 
-1.23
32 
-1.25
17 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.25
2nd row-1.25
3rd row-1.25
4th row-1.25
5th row-1.25

Common Values

ValueCountFrequency (%)
-1.24 95
66.0%
-1.23 32
 
22.2%
-1.25 17
 
11.8%

Length

2023-12-11T12:22:01.312353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:01.449309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.24 95
66.0%
1.23 32
 
22.2%
1.25 17
 
11.8%

2016-05-06
Real number (ℝ)

Distinct25
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.4383333
Minimum-1.58
Maximum-1.22
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:01.566594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.58
5-th percentile-1.57
Q1-1.56
median-1.55
Q3-1.23
95-th percentile-1.22
Maximum-1.22
Range0.36
Interquartile range (IQR)0.33

Descriptive statistics

Standard deviation0.15124194
Coefficient of variation (CV)-0.10515083
Kurtosis-1.5933364
Mean-1.4383333
Median Absolute Deviation (MAD)0.01
Skewness0.58124287
Sum-207.12
Variance0.022874126
MonotonicityNot monotonic
2023-12-11T12:22:01.707837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
-1.56 43
29.9%
-1.23 32
22.2%
-1.55 27
18.8%
-1.22 10
 
6.9%
-1.57 8
 
5.6%
-1.54 5
 
3.5%
-1.24 1
 
0.7%
-1.45 1
 
0.7%
-1.58 1
 
0.7%
-1.52 1
 
0.7%
Other values (15) 15
 
10.4%
ValueCountFrequency (%)
-1.58 1
 
0.7%
-1.57 8
 
5.6%
-1.56 43
29.9%
-1.55 27
18.8%
-1.54 5
 
3.5%
-1.52 1
 
0.7%
-1.51 1
 
0.7%
-1.49 1
 
0.7%
-1.48 1
 
0.7%
-1.47 1
 
0.7%
ValueCountFrequency (%)
-1.22 10
 
6.9%
-1.23 32
22.2%
-1.24 1
 
0.7%
-1.25 1
 
0.7%
-1.27 1
 
0.7%
-1.28 1
 
0.7%
-1.29 1
 
0.7%
-1.3 1
 
0.7%
-1.32 1
 
0.7%
-1.33 1
 
0.7%

2016-05-07
Real number (ℝ)

Distinct24
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.7165278
Minimum-1.86
Maximum-1.52
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:01.850355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.86
5-th percentile-1.84
Q1-1.84
median-1.83
Q3-1.54
95-th percentile-1.53
Maximum-1.52
Range0.34
Interquartile range (IQR)0.3

Descriptive statistics

Standard deviation0.14243791
Coefficient of variation (CV)-0.082980254
Kurtosis-1.7538095
Mean-1.7165278
Median Absolute Deviation (MAD)0.01
Skewness0.43084662
Sum-247.18
Variance0.020288559
MonotonicityNot monotonic
2023-12-11T12:22:02.036391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
-1.84 42
29.2%
-1.53 34
23.6%
-1.83 27
18.8%
-1.54 13
 
9.0%
-1.82 5
 
3.5%
-1.85 3
 
2.1%
-1.86 2
 
1.4%
-1.58 2
 
1.4%
-1.76 1
 
0.7%
-1.81 1
 
0.7%
Other values (14) 14
 
9.7%
ValueCountFrequency (%)
-1.86 2
 
1.4%
-1.85 3
 
2.1%
-1.84 42
29.2%
-1.83 27
18.8%
-1.82 5
 
3.5%
-1.81 1
 
0.7%
-1.79 1
 
0.7%
-1.78 1
 
0.7%
-1.77 1
 
0.7%
-1.76 1
 
0.7%
ValueCountFrequency (%)
-1.52 1
 
0.7%
-1.53 34
23.6%
-1.54 13
 
9.0%
-1.56 1
 
0.7%
-1.58 2
 
1.4%
-1.59 1
 
0.7%
-1.6 1
 
0.7%
-1.61 1
 
0.7%
-1.63 1
 
0.7%
-1.66 1
 
0.7%

2016-05-08
Real number (ℝ)

Distinct20
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5150694
Minimum-1.82
Maximum-1.43
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:02.227925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.82
5-th percentile-1.81
Q1-1.49
median-1.49
Q3-1.48
95-th percentile-1.47
Maximum-1.43
Range0.39
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.089168627
Coefficient of variation (CV)-0.058854482
Kurtosis6.7057671
Mean-1.5150694
Median Absolute Deviation (MAD)0.01
Skewness-2.832068
Sum-218.17
Variance0.0079510441
MonotonicityNot monotonic
2023-12-11T12:22:02.424921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
-1.49 70
48.6%
-1.48 37
25.7%
-1.47 10
 
6.9%
-1.82 5
 
3.5%
-1.81 5
 
3.5%
-1.5 2
 
1.4%
-1.45 2
 
1.4%
-1.55 1
 
0.7%
-1.46 1
 
0.7%
-1.43 1
 
0.7%
Other values (10) 10
 
6.9%
ValueCountFrequency (%)
-1.82 5
3.5%
-1.81 5
3.5%
-1.74 1
 
0.7%
-1.67 1
 
0.7%
-1.62 1
 
0.7%
-1.61 1
 
0.7%
-1.6 1
 
0.7%
-1.58 1
 
0.7%
-1.55 1
 
0.7%
-1.54 1
 
0.7%
ValueCountFrequency (%)
-1.43 1
 
0.7%
-1.45 2
 
1.4%
-1.46 1
 
0.7%
-1.47 10
 
6.9%
-1.48 37
25.7%
-1.49 70
48.6%
-1.5 2
 
1.4%
-1.51 1
 
0.7%
-1.52 1
 
0.7%
-1.53 1
 
0.7%

2016-05-09
Real number (ℝ)

Distinct19
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.6038194
Minimum-1.74
Maximum-1.47
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:02.559201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.74
5-th percentile-1.73
Q1-1.72
median-1.685
Q3-1.47
95-th percentile-1.47
Maximum-1.47
Range0.27
Interquartile range (IQR)0.25

Descriptive statistics

Standard deviation0.11774095
Coefficient of variation (CV)-0.073412848
Kurtosis-1.9370526
Mean-1.6038194
Median Absolute Deviation (MAD)0.05
Skewness0.13302476
Sum-230.95
Variance0.013862932
MonotonicityNot monotonic
2023-12-11T12:22:02.723165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-1.47 38
26.4%
-1.71 31
21.5%
-1.72 29
20.1%
-1.48 22
15.3%
-1.73 6
 
4.2%
-1.74 3
 
2.1%
-1.54 2
 
1.4%
-1.7 2
 
1.4%
-1.49 1
 
0.7%
-1.68 1
 
0.7%
Other values (9) 9
 
6.2%
ValueCountFrequency (%)
-1.74 3
 
2.1%
-1.73 6
 
4.2%
-1.72 29
20.1%
-1.71 31
21.5%
-1.7 2
 
1.4%
-1.69 1
 
0.7%
-1.68 1
 
0.7%
-1.66 1
 
0.7%
-1.64 1
 
0.7%
-1.62 1
 
0.7%
ValueCountFrequency (%)
-1.47 38
26.4%
-1.48 22
15.3%
-1.49 1
 
0.7%
-1.51 1
 
0.7%
-1.54 2
 
1.4%
-1.55 1
 
0.7%
-1.56 1
 
0.7%
-1.57 1
 
0.7%
-1.59 1
 
0.7%
-1.62 1
 
0.7%

2016-05-10
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)19.4%
Missing5
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean-1.707554
Minimum-1.82
Maximum-1.53
Zeros0
Zeros (%)0.0%
Negative139
Negative (%)96.5%
Memory size1.4 KiB
2023-12-11T12:22:02.910031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.82
5-th percentile-1.81
Q1-1.79
median-1.72
Q3-1.6
95-th percentile-1.56
Maximum-1.53
Range0.29
Interquartile range (IQR)0.19

Descriptive statistics

Standard deviation0.094813637
Coefficient of variation (CV)-0.055525997
Kurtosis-1.4935208
Mean-1.707554
Median Absolute Deviation (MAD)0.08
Skewness0.4107337
Sum-237.35
Variance0.0089896257
MonotonicityNot monotonic
2023-12-11T12:22:03.108927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
-1.79 25
17.4%
-1.8 24
16.7%
-1.71 14
9.7%
-1.58 11
7.6%
-1.59 10
 
6.9%
-1.6 7
 
4.9%
-1.81 6
 
4.2%
-1.78 6
 
4.2%
-1.72 5
 
3.5%
-1.56 5
 
3.5%
Other values (17) 26
18.1%
(Missing) 5
 
3.5%
ValueCountFrequency (%)
-1.82 3
 
2.1%
-1.81 6
 
4.2%
-1.8 24
16.7%
-1.79 25
17.4%
-1.78 6
 
4.2%
-1.77 1
 
0.7%
-1.75 1
 
0.7%
-1.73 1
 
0.7%
-1.72 5
 
3.5%
-1.71 14
9.7%
ValueCountFrequency (%)
-1.53 1
 
0.7%
-1.54 1
 
0.7%
-1.55 2
 
1.4%
-1.56 5
3.5%
-1.57 3
 
2.1%
-1.58 11
7.6%
-1.59 10
6.9%
-1.6 7
4.9%
-1.61 2
 
1.4%
-1.62 1
 
0.7%

2016-05-11
Real number (ℝ)

MISSING 

Distinct22
Distinct (%)18.5%
Missing25
Missing (%)17.4%
Infinite0
Infinite (%)0.0%
Mean-1.5933613
Minimum-1.68
Maximum-1.45
Zeros0
Zeros (%)0.0%
Negative119
Negative (%)82.6%
Memory size1.4 KiB
2023-12-11T12:22:03.295289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.68
5-th percentile-1.67
Q1-1.66
median-1.65
Q3-1.5
95-th percentile-1.479
Maximum-1.45
Range0.23
Interquartile range (IQR)0.16

Descriptive statistics

Standard deviation0.080488733
Coefficient of variation (CV)-0.050515053
Kurtosis-1.6108582
Mean-1.5933613
Median Absolute Deviation (MAD)0.02
Skewness0.43360459
Sum-189.61
Variance0.0064784361
MonotonicityNot monotonic
2023-12-11T12:22:03.428684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
-1.66 29
20.1%
-1.67 17
11.8%
-1.65 13
9.0%
-1.48 10
 
6.9%
-1.49 10
 
6.9%
-1.5 7
 
4.9%
-1.68 5
 
3.5%
-1.53 4
 
2.8%
-1.47 3
 
2.1%
-1.54 3
 
2.1%
Other values (12) 18
12.5%
(Missing) 25
17.4%
ValueCountFrequency (%)
-1.68 5
 
3.5%
-1.67 17
11.8%
-1.66 29
20.1%
-1.65 13
9.0%
-1.64 1
 
0.7%
-1.63 1
 
0.7%
-1.61 1
 
0.7%
-1.59 2
 
1.4%
-1.58 1
 
0.7%
-1.57 2
 
1.4%
ValueCountFrequency (%)
-1.45 1
 
0.7%
-1.46 2
 
1.4%
-1.47 3
 
2.1%
-1.48 10
6.9%
-1.49 10
6.9%
-1.5 7
4.9%
-1.51 2
 
1.4%
-1.52 2
 
1.4%
-1.53 4
 
2.8%
-1.54 3
 
2.1%

2016-05-12
Real number (ℝ)

Distinct16
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5997917
Minimum-1.65
Maximum-1.49
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:03.596470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.65
5-th percentile-1.65
Q1-1.62
median-1.61
Q3-1.5675
95-th percentile-1.54
Maximum-1.49
Range0.16
Interquartile range (IQR)0.0525

Descriptive statistics

Standard deviation0.037797191
Coefficient of variation (CV)-0.023626321
Kurtosis-0.6554547
Mean-1.5997917
Median Absolute Deviation (MAD)0.03
Skewness0.55963284
Sum-230.37
Variance0.0014286276
MonotonicityNot monotonic
2023-12-11T12:22:03.742489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.62 28
19.4%
-1.61 27
18.8%
-1.65 16
11.1%
-1.64 14
9.7%
-1.56 14
9.7%
-1.57 9
 
6.2%
-1.55 8
 
5.6%
-1.54 7
 
4.9%
-1.58 6
 
4.2%
-1.53 4
 
2.8%
Other values (6) 11
 
7.6%
ValueCountFrequency (%)
-1.65 16
11.1%
-1.64 14
9.7%
-1.63 4
 
2.8%
-1.62 28
19.4%
-1.61 27
18.8%
-1.6 3
 
2.1%
-1.59 1
 
0.7%
-1.58 6
 
4.2%
-1.57 9
 
6.2%
-1.56 14
9.7%
ValueCountFrequency (%)
-1.49 1
 
0.7%
-1.51 1
 
0.7%
-1.52 1
 
0.7%
-1.53 4
 
2.8%
-1.54 7
4.9%
-1.55 8
5.6%
-1.56 14
9.7%
-1.57 9
6.2%
-1.58 6
4.2%
-1.59 1
 
0.7%

2016-05-13
Real number (ℝ)

Distinct7
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5936806
Minimum-1.63
Maximum-1.57
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:03.888424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.63
5-th percentile-1.62
Q1-1.6
median-1.59
Q3-1.58
95-th percentile-1.57
Maximum-1.57
Range0.06
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.015677989
Coefficient of variation (CV)-0.0098375982
Kurtosis-0.49406021
Mean-1.5936806
Median Absolute Deviation (MAD)0.01
Skewness-0.39695772
Sum-229.49
Variance0.00024579934
MonotonicityNot monotonic
2023-12-11T12:22:04.013585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-1.59 44
30.6%
-1.6 25
17.4%
-1.58 24
16.7%
-1.57 18
12.5%
-1.61 15
 
10.4%
-1.62 14
 
9.7%
-1.63 4
 
2.8%
ValueCountFrequency (%)
-1.63 4
 
2.8%
-1.62 14
 
9.7%
-1.61 15
 
10.4%
-1.6 25
17.4%
-1.59 44
30.6%
-1.58 24
16.7%
-1.57 18
12.5%
ValueCountFrequency (%)
-1.57 18
12.5%
-1.58 24
16.7%
-1.59 44
30.6%
-1.6 25
17.4%
-1.61 15
 
10.4%
-1.62 14
 
9.7%
-1.63 4
 
2.8%

2016-05-14
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.57
54 
-1.56
48 
-1.55
40 
-1.58
 
2

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.58
2nd row-1.58
3rd row-1.57
4th row-1.57
5th row-1.57

Common Values

ValueCountFrequency (%)
-1.57 54
37.5%
-1.56 48
33.3%
-1.55 40
27.8%
-1.58 2
 
1.4%

Length

2023-12-11T12:22:04.174412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:04.321629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.57 54
37.5%
1.56 48
33.3%
1.55 40
27.8%
1.58 2
 
1.4%

2016-05-15
Real number (ℝ)

Distinct8
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5445139
Minimum-1.6
Maximum-1.53
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:04.452624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.6
5-th percentile-1.58
Q1-1.55
median-1.54
Q3-1.53
95-th percentile-1.53
Maximum-1.53
Range0.07
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.01590311
Coefficient of variation (CV)-0.010296515
Kurtosis1.8020001
Mean-1.5445139
Median Absolute Deviation (MAD)0.01
Skewness-1.4599124
Sum-222.41
Variance0.0002529089
MonotonicityNot monotonic
2023-12-11T12:22:04.578976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
-1.54 48
33.3%
-1.53 45
31.2%
-1.55 26
18.1%
-1.56 8
 
5.6%
-1.57 7
 
4.9%
-1.59 5
 
3.5%
-1.58 4
 
2.8%
-1.6 1
 
0.7%
ValueCountFrequency (%)
-1.6 1
 
0.7%
-1.59 5
 
3.5%
-1.58 4
 
2.8%
-1.57 7
 
4.9%
-1.56 8
 
5.6%
-1.55 26
18.1%
-1.54 48
33.3%
-1.53 45
31.2%
ValueCountFrequency (%)
-1.53 45
31.2%
-1.54 48
33.3%
-1.55 26
18.1%
-1.56 8
 
5.6%
-1.57 7
 
4.9%
-1.58 4
 
2.8%
-1.59 5
 
3.5%
-1.6 1
 
0.7%

2016-05-16
Real number (ℝ)

MISSING 

Distinct9
Distinct (%)7.2%
Missing19
Missing (%)13.2%
Infinite0
Infinite (%)0.0%
Mean-1.47816
Minimum-1.54
Maximum-1.46
Zeros0
Zeros (%)0.0%
Negative125
Negative (%)86.8%
Memory size1.4 KiB
2023-12-11T12:22:04.741039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.54
5-th percentile-1.528
Q1-1.48
median-1.47
Q3-1.46
95-th percentile-1.46
Maximum-1.46
Range0.08
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.022011141
Coefficient of variation (CV)-0.014890906
Kurtosis0.20635927
Mean-1.47816
Median Absolute Deviation (MAD)0.01
Skewness-1.1507849
Sum-184.77
Variance0.00048449032
MonotonicityNot monotonic
2023-12-11T12:22:04.896297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-1.46 53
36.8%
-1.48 27
18.8%
-1.47 15
 
10.4%
-1.51 11
 
7.6%
-1.53 6
 
4.2%
-1.52 5
 
3.5%
-1.49 5
 
3.5%
-1.5 2
 
1.4%
-1.54 1
 
0.7%
(Missing) 19
 
13.2%
ValueCountFrequency (%)
-1.54 1
 
0.7%
-1.53 6
 
4.2%
-1.52 5
 
3.5%
-1.51 11
 
7.6%
-1.5 2
 
1.4%
-1.49 5
 
3.5%
-1.48 27
18.8%
-1.47 15
 
10.4%
-1.46 53
36.8%
ValueCountFrequency (%)
-1.46 53
36.8%
-1.47 15
 
10.4%
-1.48 27
18.8%
-1.49 5
 
3.5%
-1.5 2
 
1.4%
-1.51 11
 
7.6%
-1.52 5
 
3.5%
-1.53 6
 
4.2%
-1.54 1
 
0.7%

2016-05-17
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
68 
-1.43
59 
-1.42
13 
-1.44
 
4

Length

Max length5
Median length5
Mean length4.5277778
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 68
47.2%
-1.43 59
41.0%
-1.42 13
 
9.0%
-1.44 4
 
2.8%

Length

2023-12-11T12:22:05.097369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:05.287256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 68
47.2%
1.43 59
41.0%
1.42 13
 
9.0%
1.44 4
 
2.8%

2016-05-18
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.41
80 
<NA>
41 
-1.4
22 
-1.39
 
1

Length

Max length5
Median length5
Mean length4.5625
Min length4

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
-1.41 80
55.6%
<NA> 41
28.5%
-1.4 22
 
15.3%
-1.39 1
 
0.7%

Length

2023-12-11T12:22:05.490456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:05.627040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.41 80
55.6%
na 41
28.5%
1.4 22
 
15.3%
1.39 1
 
0.7%

2016-05-19
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.38
82 
-1.39
46 
-1.37
16 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.39
2nd row-1.39
3rd row-1.39
4th row-1.39
5th row-1.39

Common Values

ValueCountFrequency (%)
-1.38 82
56.9%
-1.39 46
31.9%
-1.37 16
 
11.1%

Length

2023-12-11T12:22:05.797187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:05.935752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.38 82
56.9%
1.39 46
31.9%
1.37 16
 
11.1%

2016-05-20
Real number (ℝ)

Distinct13
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.4491667
Minimum-1.51
Maximum-1.35
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:06.092567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.51
5-th percentile-1.51
Q1-1.5
median-1.495
Q3-1.36
95-th percentile-1.35
Maximum-1.35
Range0.16
Interquartile range (IQR)0.14

Descriptive statistics

Standard deviation0.067518451
Coefficient of variation (CV)-0.046591226
Kurtosis-1.6372605
Mean-1.4491667
Median Absolute Deviation (MAD)0.015
Skewness0.53861835
Sum-208.68
Variance0.0045587413
MonotonicityNot monotonic
2023-12-11T12:22:06.232880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
-1.5 42
29.2%
-1.36 32
22.2%
-1.51 30
20.8%
-1.49 14
 
9.7%
-1.35 11
 
7.6%
-1.37 6
 
4.2%
-1.41 2
 
1.4%
-1.48 2
 
1.4%
-1.4 1
 
0.7%
-1.42 1
 
0.7%
Other values (3) 3
 
2.1%
ValueCountFrequency (%)
-1.51 30
20.8%
-1.5 42
29.2%
-1.49 14
 
9.7%
-1.48 2
 
1.4%
-1.46 1
 
0.7%
-1.44 1
 
0.7%
-1.43 1
 
0.7%
-1.42 1
 
0.7%
-1.41 2
 
1.4%
-1.4 1
 
0.7%
ValueCountFrequency (%)
-1.35 11
 
7.6%
-1.36 32
22.2%
-1.37 6
 
4.2%
-1.4 1
 
0.7%
-1.41 2
 
1.4%
-1.42 1
 
0.7%
-1.43 1
 
0.7%
-1.44 1
 
0.7%
-1.46 1
 
0.7%
-1.48 2
 
1.4%

2016-05-21
Real number (ℝ)

Distinct16
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5790972
Minimum-1.66
Maximum-1.47
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:06.343647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.66
5-th percentile-1.65
Q1-1.64
median-1.635
Q3-1.48
95-th percentile-1.47
Maximum-1.47
Range0.19
Interquartile range (IQR)0.16

Descriptive statistics

Standard deviation0.07736855
Coefficient of variation (CV)-0.048995432
Kurtosis-1.7157331
Mean-1.5790972
Median Absolute Deviation (MAD)0.015
Skewness0.47221469
Sum-227.39
Variance0.0059858926
MonotonicityNot monotonic
2023-12-11T12:22:06.458107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.64 48
33.3%
-1.48 26
18.1%
-1.65 23
16.0%
-1.47 15
 
10.4%
-1.63 12
 
8.3%
-1.49 9
 
6.2%
-1.52 2
 
1.4%
-1.61 1
 
0.7%
-1.66 1
 
0.7%
-1.62 1
 
0.7%
Other values (6) 6
 
4.2%
ValueCountFrequency (%)
-1.66 1
 
0.7%
-1.65 23
16.0%
-1.64 48
33.3%
-1.63 12
 
8.3%
-1.62 1
 
0.7%
-1.61 1
 
0.7%
-1.59 1
 
0.7%
-1.57 1
 
0.7%
-1.55 1
 
0.7%
-1.54 1
 
0.7%
ValueCountFrequency (%)
-1.47 15
10.4%
-1.48 26
18.1%
-1.49 9
 
6.2%
-1.51 1
 
0.7%
-1.52 2
 
1.4%
-1.53 1
 
0.7%
-1.54 1
 
0.7%
-1.55 1
 
0.7%
-1.57 1
 
0.7%
-1.59 1
 
0.7%

2016-05-22
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)14.9%
Missing50
Missing (%)34.7%
Infinite0
Infinite (%)0.0%
Mean-1.5119149
Minimum-1.64
Maximum-1.47
Zeros0
Zeros (%)0.0%
Negative94
Negative (%)65.3%
Memory size1.4 KiB
2023-12-11T12:22:06.633056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.64
5-th percentile-1.63
Q1-1.5
median-1.5
Q3-1.4925
95-th percentile-1.4865
Maximum-1.47
Range0.17
Interquartile range (IQR)0.0075

Descriptive statistics

Standard deviation0.038640237
Coefficient of variation (CV)-0.025557151
Kurtosis4.5235815
Mean-1.5119149
Median Absolute Deviation (MAD)0
Skewness-2.3410944
Sum-142.12
Variance0.0014930679
MonotonicityNot monotonic
2023-12-11T12:22:06.770743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-1.5 48
33.3%
-1.49 19
 
13.2%
-1.63 5
 
3.5%
-1.52 4
 
2.8%
-1.51 4
 
2.8%
-1.48 3
 
2.1%
-1.57 2
 
1.4%
-1.47 2
 
1.4%
-1.53 2
 
1.4%
-1.64 1
 
0.7%
Other values (4) 4
 
2.8%
(Missing) 50
34.7%
ValueCountFrequency (%)
-1.64 1
 
0.7%
-1.63 5
3.5%
-1.62 1
 
0.7%
-1.6 1
 
0.7%
-1.57 2
 
1.4%
-1.56 1
 
0.7%
-1.54 1
 
0.7%
-1.53 2
 
1.4%
-1.52 4
2.8%
-1.51 4
2.8%
ValueCountFrequency (%)
-1.47 2
 
1.4%
-1.48 3
 
2.1%
-1.49 19
 
13.2%
-1.5 48
33.3%
-1.51 4
 
2.8%
-1.52 4
 
2.8%
-1.53 2
 
1.4%
-1.54 1
 
0.7%
-1.56 1
 
0.7%
-1.57 2
 
1.4%

2016-05-23
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)17.0%
Missing38
Missing (%)26.4%
Infinite0
Infinite (%)0.0%
Mean-1.6367925
Minimum-1.7
Maximum-1.48
Zeros0
Zeros (%)0.0%
Negative106
Negative (%)73.6%
Memory size1.4 KiB
2023-12-11T12:22:06.915633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.7
5-th percentile-1.69
Q1-1.68
median-1.68
Q3-1.6325
95-th percentile-1.48
Maximum-1.48
Range0.22
Interquartile range (IQR)0.0475

Descriptive statistics

Standard deviation0.076812042
Coefficient of variation (CV)-0.046928395
Kurtosis-0.051940847
Mean-1.6367925
Median Absolute Deviation (MAD)0.01
Skewness1.3220799
Sum-173.5
Variance0.0059000898
MonotonicityNot monotonic
2023-12-11T12:22:07.057528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-1.68 43
29.9%
-1.67 17
 
11.8%
-1.69 16
 
11.1%
-1.48 10
 
6.9%
-1.49 7
 
4.9%
-1.54 1
 
0.7%
-1.55 1
 
0.7%
-1.56 1
 
0.7%
-1.57 1
 
0.7%
-1.61 1
 
0.7%
Other values (8) 8
 
5.6%
(Missing) 38
26.4%
ValueCountFrequency (%)
-1.7 1
 
0.7%
-1.69 16
 
11.1%
-1.68 43
29.9%
-1.67 17
 
11.8%
-1.66 1
 
0.7%
-1.64 1
 
0.7%
-1.63 1
 
0.7%
-1.61 1
 
0.7%
-1.59 1
 
0.7%
-1.57 1
 
0.7%
ValueCountFrequency (%)
-1.48 10
6.9%
-1.49 7
4.9%
-1.5 1
 
0.7%
-1.52 1
 
0.7%
-1.53 1
 
0.7%
-1.54 1
 
0.7%
-1.55 1
 
0.7%
-1.56 1
 
0.7%
-1.57 1
 
0.7%
-1.59 1
 
0.7%

2016-05-24
Real number (ℝ)

Distinct19
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.6025694
Minimum-1.67
Maximum-1.48
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:07.183909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.67
5-th percentile-1.66
Q1-1.64
median-1.62
Q3-1.55
95-th percentile-1.53
Maximum-1.48
Range0.19
Interquartile range (IQR)0.09

Descriptive statistics

Standard deviation0.051991749
Coefficient of variation (CV)-0.032442743
Kurtosis-0.96412299
Mean-1.6025694
Median Absolute Deviation (MAD)0.035
Skewness0.61968626
Sum-230.77
Variance0.002703142
MonotonicityNot monotonic
2023-12-11T12:22:07.339964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-1.63 25
17.4%
-1.62 19
13.2%
-1.53 17
11.8%
-1.66 17
11.8%
-1.54 12
8.3%
-1.64 12
8.3%
-1.65 11
7.6%
-1.55 8
 
5.6%
-1.67 5
 
3.5%
-1.57 5
 
3.5%
Other values (9) 13
9.0%
ValueCountFrequency (%)
-1.67 5
 
3.5%
-1.66 17
11.8%
-1.65 11
7.6%
-1.64 12
8.3%
-1.63 25
17.4%
-1.62 19
13.2%
-1.61 2
 
1.4%
-1.6 2
 
1.4%
-1.59 1
 
0.7%
-1.58 1
 
0.7%
ValueCountFrequency (%)
-1.48 3
 
2.1%
-1.49 1
 
0.7%
-1.5 1
 
0.7%
-1.52 1
 
0.7%
-1.53 17
11.8%
-1.54 12
8.3%
-1.55 8
5.6%
-1.56 1
 
0.7%
-1.57 5
 
3.5%
-1.58 1
 
0.7%

2016-05-25
Real number (ℝ)

Distinct24
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.6238889
Minimum-1.75
Maximum-1.46
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:07.528490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.75
5-th percentile-1.7285
Q1-1.71
median-1.655
Q3-1.51
95-th percentile-1.48
Maximum-1.46
Range0.29
Interquartile range (IQR)0.2

Descriptive statistics

Standard deviation0.09883313
Coefficient of variation (CV)-0.060862003
Kurtosis-1.5586462
Mean-1.6238889
Median Absolute Deviation (MAD)0.055
Skewness0.38128886
Sum-233.84
Variance0.0097679876
MonotonicityNot monotonic
2023-12-11T12:22:07.734452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
-1.71 48
33.3%
-1.72 12
 
8.3%
-1.48 12
 
8.3%
-1.61 12
 
8.3%
-1.49 11
 
7.6%
-1.51 6
 
4.2%
-1.5 5
 
3.5%
-1.6 5
 
3.5%
-1.62 4
 
2.8%
-1.47 4
 
2.8%
Other values (14) 25
17.4%
ValueCountFrequency (%)
-1.75 2
 
1.4%
-1.74 3
 
2.1%
-1.73 3
 
2.1%
-1.72 12
 
8.3%
-1.71 48
33.3%
-1.7 2
 
1.4%
-1.69 1
 
0.7%
-1.67 1
 
0.7%
-1.64 1
 
0.7%
-1.62 4
 
2.8%
ValueCountFrequency (%)
-1.46 1
 
0.7%
-1.47 4
 
2.8%
-1.48 12
8.3%
-1.49 11
7.6%
-1.5 5
3.5%
-1.51 6
4.2%
-1.52 4
 
2.8%
-1.53 1
 
0.7%
-1.54 1
 
0.7%
-1.55 1
 
0.7%

2016-05-26
Real number (ℝ)

MISSING 

Distinct25
Distinct (%)24.5%
Missing42
Missing (%)29.2%
Infinite0
Infinite (%)0.0%
Mean-1.5287255
Minimum-1.71
Maximum-1.39
Zeros0
Zeros (%)0.0%
Negative102
Negative (%)70.8%
Memory size1.4 KiB
2023-12-11T12:22:07.923797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.71
5-th percentile-1.7
Q1-1.59
median-1.505
Q3-1.44
95-th percentile-1.42
Maximum-1.39
Range0.32
Interquartile range (IQR)0.15

Descriptive statistics

Standard deviation0.10043146
Coefficient of variation (CV)-0.065696204
Kurtosis-1.1014961
Mean-1.5287255
Median Absolute Deviation (MAD)0.075
Skewness-0.46788806
Sum-155.93
Variance0.010086478
MonotonicityNot monotonic
2023-12-11T12:22:08.092944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
-1.44 12
 
8.3%
-1.43 12
 
8.3%
-1.7 11
 
7.6%
-1.58 9
 
6.2%
-1.59 8
 
5.6%
-1.42 8
 
5.6%
-1.6 5
 
3.5%
-1.69 4
 
2.8%
-1.49 3
 
2.1%
-1.5 3
 
2.1%
Other values (15) 27
18.8%
(Missing) 42
29.2%
ValueCountFrequency (%)
-1.71 2
 
1.4%
-1.7 11
7.6%
-1.69 4
 
2.8%
-1.63 1
 
0.7%
-1.6 5
3.5%
-1.59 8
5.6%
-1.58 9
6.2%
-1.57 3
 
2.1%
-1.56 2
 
1.4%
-1.55 1
 
0.7%
ValueCountFrequency (%)
-1.39 2
 
1.4%
-1.41 3
 
2.1%
-1.42 8
5.6%
-1.43 12
8.3%
-1.44 12
8.3%
-1.45 2
 
1.4%
-1.46 3
 
2.1%
-1.47 1
 
0.7%
-1.48 2
 
1.4%
-1.49 3
 
2.1%

2016-05-27
Categorical

Distinct5
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
64 
-1.56
30 
-1.55
22 
-1.54
17 
-1.57
11 

Length

Max length5
Median length5
Mean length4.5555556
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 64
44.4%
-1.56 30
20.8%
-1.55 22
 
15.3%
-1.54 17
 
11.8%
-1.57 11
 
7.6%

Length

2023-12-11T12:22:08.281214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:08.440111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 64
44.4%
1.56 30
20.8%
1.55 22
 
15.3%
1.54 17
 
11.8%
1.57 11
 
7.6%

2016-05-28
Categorical

Distinct5
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.53
71 
-1.54
28 
-1.52
22 
-1.55
20 
-1.56
 
3

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.55
2nd row-1.55
3rd row-1.55
4th row-1.55
5th row-1.56

Common Values

ValueCountFrequency (%)
-1.53 71
49.3%
-1.54 28
 
19.4%
-1.52 22
 
15.3%
-1.55 20
 
13.9%
-1.56 3
 
2.1%

Length

2023-12-11T12:22:08.581457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:08.783410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.53 71
49.3%
1.54 28
 
19.4%
1.52 22
 
15.3%
1.55 20
 
13.9%
1.56 3
 
2.1%

2016-05-29
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
90 
-1.52
36 
-1.51
11 
-1.5
 
7

Length

Max length5
Median length4
Mean length4.3263889
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.52
2nd row-1.52
3rd row-1.52
4th row-1.52
5th row-1.52

Common Values

ValueCountFrequency (%)
<NA> 90
62.5%
-1.52 36
 
25.0%
-1.51 11
 
7.6%
-1.5 7
 
4.9%

Length

2023-12-11T12:22:08.971489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:09.116686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 90
62.5%
1.52 36
 
25.0%
1.51 11
 
7.6%
1.5 7
 
4.9%

2016-05-30
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.49
68 
<NA>
40 
-1.48
36 

Length

Max length5
Median length5
Mean length4.7222222
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
-1.49 68
47.2%
<NA> 40
27.8%
-1.48 36
25.0%

Length

2023-12-11T12:22:09.266317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:09.380468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.49 68
47.2%
na 40
27.8%
1.48 36
25.0%

2016-05-31
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.48
80 
-1.47
57 
-1.46
 
7

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.48
2nd row-1.48
3rd row-1.48
4th row-1.48
5th row-1.48

Common Values

ValueCountFrequency (%)
-1.48 80
55.6%
-1.47 57
39.6%
-1.46 7
 
4.9%

Length

2023-12-11T12:22:09.935902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:10.074057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.48 80
55.6%
1.47 57
39.6%
1.46 7
 
4.9%

2016-06-01
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.46
85 
-1.45
48 
-1.47
11 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.47
2nd row-1.47
3rd row-1.47
4th row-1.46
5th row-1.46

Common Values

ValueCountFrequency (%)
-1.46 85
59.0%
-1.45 48
33.3%
-1.47 11
 
7.6%

Length

2023-12-11T12:22:10.203743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:10.378974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.46 85
59.0%
1.45 48
33.3%
1.47 11
 
7.6%

2016-06-02
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.44
73 
-1.45
54 
-1.43
17 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.45
2nd row-1.45
3rd row-1.45
4th row-1.45
5th row-1.45

Common Values

ValueCountFrequency (%)
-1.44 73
50.7%
-1.45 54
37.5%
-1.43 17
 
11.8%

Length

2023-12-11T12:22:10.536404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:10.699823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.44 73
50.7%
1.45 54
37.5%
1.43 17
 
11.8%

2016-06-03
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.43
77 
-1.42
62 
-1.41
 
5

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.43
2nd row-1.43
3rd row-1.43
4th row-1.43
5th row-1.43

Common Values

ValueCountFrequency (%)
-1.43 77
53.5%
-1.42 62
43.1%
-1.41 5
 
3.5%

Length

2023-12-11T12:22:10.833389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:10.949905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.43 77
53.5%
1.42 62
43.1%
1.41 5
 
3.5%

2016-06-04
Real number (ℝ)

Distinct21
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.4804861
Minimum-1.61
Maximum-1.4
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:11.112800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.61
5-th percentile-1.5785
Q1-1.51
median-1.5
Q3-1.41
95-th percentile-1.41
Maximum-1.4
Range0.21
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.05452054
Coefficient of variation (CV)-0.036826107
Kurtosis-0.59298004
Mean-1.4804861
Median Absolute Deviation (MAD)0.02
Skewness-0.036979709
Sum-213.19
Variance0.0029724893
MonotonicityNot monotonic
2023-12-11T12:22:11.252151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
-1.41 40
27.8%
-1.5 35
24.3%
-1.51 29
20.1%
-1.49 7
 
4.9%
-1.52 7
 
4.9%
-1.4 4
 
2.8%
-1.61 3
 
2.1%
-1.56 2
 
1.4%
-1.48 2
 
1.4%
-1.53 2
 
1.4%
Other values (11) 13
 
9.0%
ValueCountFrequency (%)
-1.61 3
2.1%
-1.6 2
 
1.4%
-1.59 1
 
0.7%
-1.58 2
 
1.4%
-1.57 1
 
0.7%
-1.56 2
 
1.4%
-1.55 1
 
0.7%
-1.54 1
 
0.7%
-1.53 2
 
1.4%
-1.52 7
4.9%
ValueCountFrequency (%)
-1.4 4
 
2.8%
-1.41 40
27.8%
-1.43 1
 
0.7%
-1.44 1
 
0.7%
-1.45 1
 
0.7%
-1.46 1
 
0.7%
-1.47 1
 
0.7%
-1.48 2
 
1.4%
-1.49 7
 
4.9%
-1.5 35
24.3%

2016-06-05
Real number (ℝ)

Distinct19
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5271528
Minimum-1.7
Maximum-1.49
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:11.368813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.7
5-th percentile-1.65
Q1-1.53
median-1.52
Q3-1.49
95-th percentile-1.49
Maximum-1.49
Range0.21
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.049312238
Coefficient of variation (CV)-0.032290311
Kurtosis3.7910753
Mean-1.5271528
Median Absolute Deviation (MAD)0.02
Skewness-2.0778216
Sum-219.91
Variance0.0024316968
MonotonicityNot monotonic
2023-12-11T12:22:11.511064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-1.52 47
32.6%
-1.49 46
31.9%
-1.53 11
 
7.6%
-1.5 7
 
4.9%
-1.54 6
 
4.2%
-1.51 5
 
3.5%
-1.69 3
 
2.1%
-1.56 2
 
1.4%
-1.67 2
 
1.4%
-1.65 2
 
1.4%
Other values (9) 13
 
9.0%
ValueCountFrequency (%)
-1.7 1
 
0.7%
-1.69 3
2.1%
-1.68 1
 
0.7%
-1.67 2
1.4%
-1.65 2
1.4%
-1.64 2
1.4%
-1.63 1
 
0.7%
-1.62 1
 
0.7%
-1.61 2
1.4%
-1.58 2
1.4%
ValueCountFrequency (%)
-1.49 46
31.9%
-1.5 7
 
4.9%
-1.51 5
 
3.5%
-1.52 47
32.6%
-1.53 11
 
7.6%
-1.54 6
 
4.2%
-1.55 1
 
0.7%
-1.56 2
 
1.4%
-1.57 2
 
1.4%
-1.58 2
 
1.4%

2016-06-06
Real number (ℝ)

Distinct19
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5352083
Minimum-1.72
Maximum-1.49
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:11.622240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.72
5-th percentile-1.67
Q1-1.53
median-1.52
Q3-1.5
95-th percentile-1.4915
Maximum-1.49
Range0.23
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.052569884
Coefficient of variation (CV)-0.034242834
Kurtosis4.079862
Mean-1.5352083
Median Absolute Deviation (MAD)0.01
Skewness-2.188037
Sum-221.07
Variance0.0027635927
MonotonicityNot monotonic
2023-12-11T12:22:11.762668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-1.53 40
27.8%
-1.5 33
22.9%
-1.51 19
13.2%
-1.52 16
 
11.1%
-1.49 8
 
5.6%
-1.54 4
 
2.8%
-1.71 3
 
2.1%
-1.64 2
 
1.4%
-1.69 2
 
1.4%
-1.67 2
 
1.4%
Other values (9) 15
 
10.4%
ValueCountFrequency (%)
-1.72 1
 
0.7%
-1.71 3
2.1%
-1.7 1
 
0.7%
-1.69 2
1.4%
-1.67 2
1.4%
-1.66 2
1.4%
-1.64 2
1.4%
-1.62 2
1.4%
-1.6 2
1.4%
-1.58 2
1.4%
ValueCountFrequency (%)
-1.49 8
 
5.6%
-1.5 33
22.9%
-1.51 19
13.2%
-1.52 16
 
11.1%
-1.53 40
27.8%
-1.54 4
 
2.8%
-1.55 1
 
0.7%
-1.56 2
 
1.4%
-1.57 2
 
1.4%
-1.58 2
 
1.4%

2016-06-07
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)15.1%
Missing5
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean-1.5376978
Minimum-1.72
Maximum-1.49
Zeros0
Zeros (%)0.0%
Negative139
Negative (%)96.5%
Memory size1.4 KiB
2023-12-11T12:22:11.912349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.72
5-th percentile-1.671
Q1-1.52
median-1.52
Q3-1.52
95-th percentile-1.51
Maximum-1.49
Range0.23
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.050293581
Coefficient of variation (CV)-0.032707063
Kurtosis4.9726029
Mean-1.5376978
Median Absolute Deviation (MAD)0
Skewness-2.4417953
Sum-213.74
Variance0.0025294443
MonotonicityNot monotonic
2023-12-11T12:22:12.045825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
-1.52 82
56.9%
-1.51 26
 
18.1%
-1.53 4
 
2.8%
-1.57 3
 
2.1%
-1.72 2
 
1.4%
-1.5 2
 
1.4%
-1.59 2
 
1.4%
-1.71 2
 
1.4%
-1.66 2
 
1.4%
-1.63 2
 
1.4%
Other values (11) 12
 
8.3%
(Missing) 5
 
3.5%
ValueCountFrequency (%)
-1.72 2
1.4%
-1.71 2
1.4%
-1.7 1
0.7%
-1.69 1
0.7%
-1.68 1
0.7%
-1.67 1
0.7%
-1.66 2
1.4%
-1.65 1
0.7%
-1.63 2
1.4%
-1.61 2
1.4%
ValueCountFrequency (%)
-1.49 1
 
0.7%
-1.5 2
 
1.4%
-1.51 26
 
18.1%
-1.52 82
56.9%
-1.53 4
 
2.8%
-1.55 1
 
0.7%
-1.56 1
 
0.7%
-1.57 3
 
2.1%
-1.58 1
 
0.7%
-1.59 2
 
1.4%

2016-06-08
Real number (ℝ)

Distinct24
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5292361
Minimum-1.72
Maximum-1.48
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:12.191907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.72
5-th percentile-1.6885
Q1-1.52
median-1.51
Q3-1.5
95-th percentile-1.5
Maximum-1.48
Range0.24
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.05656953
Coefficient of variation (CV)-0.036992018
Kurtosis4.3402419
Mean-1.5292361
Median Absolute Deviation (MAD)0.01
Skewness-2.3376981
Sum-220.21
Variance0.0032001117
MonotonicityNot monotonic
2023-12-11T12:22:12.335379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
-1.5 56
38.9%
-1.51 49
34.0%
-1.52 7
 
4.9%
-1.53 4
 
2.8%
-1.72 3
 
2.1%
-1.56 3
 
2.1%
-1.71 3
 
2.1%
-1.55 2
 
1.4%
-1.69 2
 
1.4%
-1.49 1
 
0.7%
Other values (14) 14
 
9.7%
ValueCountFrequency (%)
-1.72 3
2.1%
-1.71 3
2.1%
-1.69 2
1.4%
-1.68 1
 
0.7%
-1.67 1
 
0.7%
-1.66 1
 
0.7%
-1.65 1
 
0.7%
-1.64 1
 
0.7%
-1.63 1
 
0.7%
-1.62 1
 
0.7%
ValueCountFrequency (%)
-1.48 1
 
0.7%
-1.49 1
 
0.7%
-1.5 56
38.9%
-1.51 49
34.0%
-1.52 7
 
4.9%
-1.53 4
 
2.8%
-1.54 1
 
0.7%
-1.55 2
 
1.4%
-1.56 3
 
2.1%
-1.57 1
 
0.7%

2016-06-09
Real number (ℝ)

Distinct20
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5174306
Minimum-1.68
Maximum-1.48
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:12.476322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.68
5-th percentile-1.63
Q1-1.51
median-1.5
Q3-1.49
95-th percentile-1.49
Maximum-1.48
Range0.2
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.044935798
Coefficient of variation (CV)-0.029613083
Kurtosis4.7667969
Mean-1.5174306
Median Absolute Deviation (MAD)0.01
Skewness-2.3527386
Sum-218.51
Variance0.0020192259
MonotonicityNot monotonic
2023-12-11T12:22:12.628498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
-1.5 41
28.5%
-1.49 38
26.4%
-1.51 29
20.1%
-1.52 6
 
4.2%
-1.48 4
 
2.8%
-1.53 4
 
2.8%
-1.67 2
 
1.4%
-1.54 2
 
1.4%
-1.56 2
 
1.4%
-1.57 2
 
1.4%
Other values (10) 14
 
9.7%
ValueCountFrequency (%)
-1.68 2
1.4%
-1.67 2
1.4%
-1.66 2
1.4%
-1.65 1
0.7%
-1.63 2
1.4%
-1.62 2
1.4%
-1.61 1
0.7%
-1.6 1
0.7%
-1.59 1
0.7%
-1.58 1
0.7%
ValueCountFrequency (%)
-1.48 4
 
2.8%
-1.49 38
26.4%
-1.5 41
28.5%
-1.51 29
20.1%
-1.52 6
 
4.2%
-1.53 4
 
2.8%
-1.54 2
 
1.4%
-1.55 1
 
0.7%
-1.56 2
 
1.4%
-1.57 2
 
1.4%

2016-06-10
Real number (ℝ)

Distinct14
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5438889
Minimum-1.62
Maximum-1.48
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:12.757614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.62
5-th percentile-1.61
Q1-1.6
median-1.5
Q3-1.49
95-th percentile-1.49
Maximum-1.48
Range0.14
Interquartile range (IQR)0.11

Descriptive statistics

Standard deviation0.054620254
Coefficient of variation (CV)-0.035378358
Kurtosis-1.8999112
Mean-1.5438889
Median Absolute Deviation (MAD)0.02
Skewness-0.17765558
Sum-222.32
Variance0.0029833722
MonotonicityNot monotonic
2023-12-11T12:22:12.880801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-1.49 44
30.6%
-1.6 36
25.0%
-1.5 25
17.4%
-1.61 20
13.9%
-1.48 4
 
2.8%
-1.62 4
 
2.8%
-1.59 3
 
2.1%
-1.51 2
 
1.4%
-1.52 1
 
0.7%
-1.53 1
 
0.7%
Other values (4) 4
 
2.8%
ValueCountFrequency (%)
-1.62 4
 
2.8%
-1.61 20
13.9%
-1.6 36
25.0%
-1.59 3
 
2.1%
-1.57 1
 
0.7%
-1.56 1
 
0.7%
-1.55 1
 
0.7%
-1.54 1
 
0.7%
-1.53 1
 
0.7%
-1.52 1
 
0.7%
ValueCountFrequency (%)
-1.48 4
 
2.8%
-1.49 44
30.6%
-1.5 25
17.4%
-1.51 2
 
1.4%
-1.52 1
 
0.7%
-1.53 1
 
0.7%
-1.54 1
 
0.7%
-1.55 1
 
0.7%
-1.56 1
 
0.7%
-1.57 1
 
0.7%

2016-06-11
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.58
53 
-1.59
43 
-1.57
26 
-1.6
22 

Length

Max length5
Median length5
Mean length4.8472222
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.6
2nd row-1.6
3rd row-1.6
4th row-1.6
5th row-1.6

Common Values

ValueCountFrequency (%)
-1.58 53
36.8%
-1.59 43
29.9%
-1.57 26
18.1%
-1.6 22
15.3%

Length

2023-12-11T12:22:13.030575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:13.144027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.58 53
36.8%
1.59 43
29.9%
1.57 26
18.1%
1.6 22
15.3%

2016-06-12
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.56
93 
-1.57
33 
-1.55
15 
-1.58
 
3

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.57
2nd row-1.57
3rd row-1.58
4th row-1.58
5th row-1.58

Common Values

ValueCountFrequency (%)
-1.56 93
64.6%
-1.57 33
 
22.9%
-1.55 15
 
10.4%
-1.58 3
 
2.1%

Length

2023-12-11T12:22:13.279449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:13.405624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.56 93
64.6%
1.57 33
 
22.9%
1.55 15
 
10.4%
1.58 3
 
2.1%

2016-06-13
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.54
76 
-1.55
49 
-1.56
15 
-1.53
 
4

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.56
2nd row-1.56
3rd row-1.55
4th row-1.55
5th row-1.55

Common Values

ValueCountFrequency (%)
-1.54 76
52.8%
-1.55 49
34.0%
-1.56 15
 
10.4%
-1.53 4
 
2.8%

Length

2023-12-11T12:22:13.548296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:13.683943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.54 76
52.8%
1.55 49
34.0%
1.56 15
 
10.4%
1.53 4
 
2.8%

2016-06-14
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.53
82 
-1.52
43 
-1.54
16 
-1.51
 
3

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.53
2nd row-1.53
3rd row-1.53
4th row-1.54
5th row-1.53

Common Values

ValueCountFrequency (%)
-1.53 82
56.9%
-1.52 43
29.9%
-1.54 16
 
11.1%
-1.51 3
 
2.1%

Length

2023-12-11T12:22:13.895435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:14.015144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.53 82
56.9%
1.52 43
29.9%
1.54 16
 
11.1%
1.51 3
 
2.1%

2016-06-15
Real number (ℝ)

Distinct6
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.4983333
Minimum-1.52
Maximum-1.47
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:14.130695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.52
5-th percentile-1.51
Q1-1.51
median-1.5
Q3-1.49
95-th percentile-1.48
Maximum-1.47
Range0.05
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.010967211
Coefficient of variation (CV)-0.007319607
Kurtosis-0.094929866
Mean-1.4983333
Median Absolute Deviation (MAD)0.01
Skewness0.50174872
Sum-215.76
Variance0.00012027972
MonotonicityNot monotonic
2023-12-11T12:22:14.287829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-1.5 64
44.4%
-1.51 33
22.9%
-1.49 20
 
13.9%
-1.48 19
 
13.2%
-1.52 5
 
3.5%
-1.47 3
 
2.1%
ValueCountFrequency (%)
-1.52 5
 
3.5%
-1.51 33
22.9%
-1.5 64
44.4%
-1.49 20
 
13.9%
-1.48 19
 
13.2%
-1.47 3
 
2.1%
ValueCountFrequency (%)
-1.47 3
 
2.1%
-1.48 19
 
13.2%
-1.49 20
 
13.9%
-1.5 64
44.4%
-1.51 33
22.9%
-1.52 5
 
3.5%

2016-06-16
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.46
67 
-1.47
47 
-1.48
23 
-1.45

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.48
2nd row-1.48
3rd row-1.48
4th row-1.48
5th row-1.48

Common Values

ValueCountFrequency (%)
-1.46 67
46.5%
-1.47 47
32.6%
-1.48 23
 
16.0%
-1.45 7
 
4.9%

Length

2023-12-11T12:22:14.423316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:14.562711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.46 67
46.5%
1.47 47
32.6%
1.48 23
 
16.0%
1.45 7
 
4.9%

2016-06-17
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.45
69 
-1.44
69 
-1.43
 
6

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.45
2nd row-1.45
3rd row-1.45
4th row-1.45
5th row-1.45

Common Values

ValueCountFrequency (%)
-1.45 69
47.9%
-1.44 69
47.9%
-1.43 6
 
4.2%

Length

2023-12-11T12:22:14.713460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:14.867968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.45 69
47.9%
1.44 69
47.9%
1.43 6
 
4.2%

2016-06-18
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.42
84 
-1.43
46 
-1.41
12 
-1.44
 
2

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.44
2nd row-1.44
3rd row-1.43
4th row-1.43
5th row-1.43

Common Values

ValueCountFrequency (%)
-1.42 84
58.3%
-1.43 46
31.9%
-1.41 12
 
8.3%
-1.44 2
 
1.4%

Length

2023-12-11T12:22:14.988018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:15.140796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.42 84
58.3%
1.43 46
31.9%
1.41 12
 
8.3%
1.44 2
 
1.4%

2016-06-19
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.4
92 
-1.41
52 

Length

Max length5
Median length4
Mean length4.3611111
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.41
2nd row-1.41
3rd row-1.41
4th row-1.41
5th row-1.41

Common Values

ValueCountFrequency (%)
-1.4 92
63.9%
-1.41 52
36.1%

Length

2023-12-11T12:22:15.305413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:15.454009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.4 92
63.9%
1.41 52
36.1%

2016-06-20
Real number (ℝ)

Distinct14
Distinct (%)9.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.4658333
Minimum-1.55
Maximum-1.39
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:15.593075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.55
5-th percentile-1.5385
Q1-1.51
median-1.5
Q3-1.39
95-th percentile-1.39
Maximum-1.39
Range0.16
Interquartile range (IQR)0.12

Descriptive statistics

Standard deviation0.058840783
Coefficient of variation (CV)-0.040141523
Kurtosis-1.6640157
Mean-1.4658333
Median Absolute Deviation (MAD)0.03
Skewness0.35648239
Sum-211.08
Variance0.0034622378
MonotonicityNot monotonic
2023-12-11T12:22:15.729344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-1.39 45
31.2%
-1.5 28
19.4%
-1.51 24
16.7%
-1.52 12
 
8.3%
-1.53 9
 
6.2%
-1.4 6
 
4.2%
-1.49 5
 
3.5%
-1.54 5
 
3.5%
-1.55 3
 
2.1%
-1.42 2
 
1.4%
Other values (4) 5
 
3.5%
ValueCountFrequency (%)
-1.55 3
 
2.1%
-1.54 5
 
3.5%
-1.53 9
 
6.2%
-1.52 12
8.3%
-1.51 24
16.7%
-1.5 28
19.4%
-1.49 5
 
3.5%
-1.47 1
 
0.7%
-1.46 1
 
0.7%
-1.44 2
 
1.4%
ValueCountFrequency (%)
-1.39 45
31.2%
-1.4 6
 
4.2%
-1.42 2
 
1.4%
-1.43 1
 
0.7%
-1.44 2
 
1.4%
-1.46 1
 
0.7%
-1.47 1
 
0.7%
-1.49 5
 
3.5%
-1.5 28
19.4%
-1.51 24
16.7%

2016-06-21
Real number (ℝ)

Distinct20
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.4872222
Minimum-1.63
Maximum-1.43
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:15.886328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.63
5-th percentile-1.58
Q1-1.5
median-1.49
Q3-1.45
95-th percentile-1.44
Maximum-1.43
Range0.2
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.043233703
Coefficient of variation (CV)-0.029070103
Kurtosis2.5572986
Mean-1.4872222
Median Absolute Deviation (MAD)0.03
Skewness-1.5232909
Sum-214.16
Variance0.0018691531
MonotonicityNot monotonic
2023-12-11T12:22:16.041927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
-1.45 28
19.4%
-1.5 25
17.4%
-1.49 24
16.7%
-1.46 18
12.5%
-1.44 12
8.3%
-1.51 10
 
6.9%
-1.48 4
 
2.8%
-1.47 4
 
2.8%
-1.63 3
 
2.1%
-1.62 2
 
1.4%
Other values (10) 14
9.7%
ValueCountFrequency (%)
-1.63 3
2.1%
-1.62 2
1.4%
-1.61 1
 
0.7%
-1.6 1
 
0.7%
-1.58 2
1.4%
-1.57 1
 
0.7%
-1.56 2
1.4%
-1.55 2
1.4%
-1.54 1
 
0.7%
-1.53 2
1.4%
ValueCountFrequency (%)
-1.43 1
 
0.7%
-1.44 12
8.3%
-1.45 28
19.4%
-1.46 18
12.5%
-1.47 4
 
2.8%
-1.48 4
 
2.8%
-1.49 24
16.7%
-1.5 25
17.4%
-1.51 10
 
6.9%
-1.52 1
 
0.7%

2016-06-22
Real number (ℝ)

Distinct17
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5088889
Minimum-1.59
Maximum-1.41
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:16.183657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.59
5-th percentile-1.58
Q1-1.58
median-1.57
Q3-1.42
95-th percentile-1.42
Maximum-1.41
Range0.18
Interquartile range (IQR)0.16

Descriptive statistics

Standard deviation0.073865414
Coefficient of variation (CV)-0.048953515
Kurtosis-1.8818422
Mean-1.5088889
Median Absolute Deviation (MAD)0.02
Skewness0.23534799
Sum-217.28
Variance0.0054560995
MonotonicityNot monotonic
2023-12-11T12:22:16.338036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
-1.58 36
25.0%
-1.57 34
23.6%
-1.42 31
21.5%
-1.44 11
 
7.6%
-1.43 11
 
7.6%
-1.41 6
 
4.2%
-1.59 5
 
3.5%
-1.54 1
 
0.7%
-1.56 1
 
0.7%
-1.55 1
 
0.7%
Other values (7) 7
 
4.9%
ValueCountFrequency (%)
-1.59 5
 
3.5%
-1.58 36
25.0%
-1.57 34
23.6%
-1.56 1
 
0.7%
-1.55 1
 
0.7%
-1.54 1
 
0.7%
-1.52 1
 
0.7%
-1.5 1
 
0.7%
-1.49 1
 
0.7%
-1.48 1
 
0.7%
ValueCountFrequency (%)
-1.41 6
 
4.2%
-1.42 31
21.5%
-1.43 11
 
7.6%
-1.44 11
 
7.6%
-1.45 1
 
0.7%
-1.46 1
 
0.7%
-1.47 1
 
0.7%
-1.48 1
 
0.7%
-1.49 1
 
0.7%
-1.5 1
 
0.7%

2016-06-23
Real number (ℝ)

Distinct17
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5886806
Minimum-1.72
Maximum-1.56
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:16.460451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.72
5-th percentile-1.6785
Q1-1.6
median-1.58
Q3-1.56
95-th percentile-1.56
Maximum-1.56
Range0.16
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.03660881
Coefficient of variation (CV)-0.023043531
Kurtosis4.3348997
Mean-1.5886806
Median Absolute Deviation (MAD)0.02
Skewness-2.1119773
Sum-228.77
Variance0.0013402049
MonotonicityNot monotonic
2023-12-11T12:22:16.627523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
-1.56 39
27.1%
-1.58 28
19.4%
-1.57 23
16.0%
-1.6 16
11.1%
-1.59 16
11.1%
-1.61 3
 
2.1%
-1.64 3
 
2.1%
-1.72 3
 
2.1%
-1.62 2
 
1.4%
-1.63 2
 
1.4%
Other values (7) 9
 
6.2%
ValueCountFrequency (%)
-1.72 3
2.1%
-1.71 2
1.4%
-1.7 1
 
0.7%
-1.69 1
 
0.7%
-1.68 1
 
0.7%
-1.67 1
 
0.7%
-1.66 2
1.4%
-1.65 1
 
0.7%
-1.64 3
2.1%
-1.63 2
1.4%
ValueCountFrequency (%)
-1.56 39
27.1%
-1.57 23
16.0%
-1.58 28
19.4%
-1.59 16
11.1%
-1.6 16
11.1%
-1.61 3
 
2.1%
-1.62 2
 
1.4%
-1.63 2
 
1.4%
-1.64 3
 
2.1%
-1.65 1
 
0.7%

2016-06-24
Real number (ℝ)

Distinct17
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.584375
Minimum-1.7
Maximum-1.54
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:16.788220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.7
5-th percentile-1.6585
Q1-1.6
median-1.58
Q3-1.56
95-th percentile-1.54
Maximum-1.54
Range0.16
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.033880059
Coefficient of variation (CV)-0.021383864
Kurtosis2.2365338
Mean-1.584375
Median Absolute Deviation (MAD)0.02
Skewness-1.3330793
Sum-228.15
Variance0.0011478584
MonotonicityNot monotonic
2023-12-11T12:22:16.925185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
-1.58 25
17.4%
-1.56 19
13.2%
-1.59 19
13.2%
-1.55 18
12.5%
-1.6 16
11.1%
-1.57 11
7.6%
-1.54 10
 
6.9%
-1.61 8
 
5.6%
-1.63 4
 
2.8%
-1.62 4
 
2.8%
Other values (7) 10
 
6.9%
ValueCountFrequency (%)
-1.7 2
 
1.4%
-1.69 2
 
1.4%
-1.68 1
 
0.7%
-1.67 2
 
1.4%
-1.66 1
 
0.7%
-1.65 1
 
0.7%
-1.64 1
 
0.7%
-1.63 4
2.8%
-1.62 4
2.8%
-1.61 8
5.6%
ValueCountFrequency (%)
-1.54 10
 
6.9%
-1.55 18
12.5%
-1.56 19
13.2%
-1.57 11
7.6%
-1.58 25
17.4%
-1.59 19
13.2%
-1.6 16
11.1%
-1.61 8
 
5.6%
-1.62 4
 
2.8%
-1.63 4
 
2.8%

2016-06-25
Real number (ℝ)

Distinct16
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.6079861
Minimum-1.7
Maximum-1.53
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:17.075153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.7
5-th percentile-1.69
Q1-1.6625
median-1.595
Q3-1.55
95-th percentile-1.53
Maximum-1.53
Range0.17
Interquartile range (IQR)0.1125

Descriptive statistics

Standard deviation0.061457585
Coefficient of variation (CV)-0.038220221
Kurtosis-1.8013545
Mean-1.6079861
Median Absolute Deviation (MAD)0.065
Skewness-0.042751004
Sum-231.55
Variance0.0037770348
MonotonicityNot monotonic
2023-12-11T12:22:17.256107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.66 30
20.8%
-1.54 18
12.5%
-1.55 16
11.1%
-1.68 16
11.1%
-1.53 14
9.7%
-1.57 13
9.0%
-1.67 10
 
6.9%
-1.56 10
 
6.9%
-1.69 8
 
5.6%
-1.6 2
 
1.4%
Other values (6) 7
 
4.9%
ValueCountFrequency (%)
-1.7 2
 
1.4%
-1.69 8
 
5.6%
-1.68 16
11.1%
-1.67 10
 
6.9%
-1.66 30
20.8%
-1.65 1
 
0.7%
-1.63 1
 
0.7%
-1.62 1
 
0.7%
-1.61 1
 
0.7%
-1.6 2
 
1.4%
ValueCountFrequency (%)
-1.53 14
9.7%
-1.54 18
12.5%
-1.55 16
11.1%
-1.56 10
6.9%
-1.57 13
9.0%
-1.59 1
 
0.7%
-1.6 2
 
1.4%
-1.61 1
 
0.7%
-1.62 1
 
0.7%
-1.63 1
 
0.7%

2016-06-26
Real number (ℝ)

Distinct13
Distinct (%)9.1%
Missing1
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean-1.6985315
Minimum-1.78
Maximum-1.64
Zeros0
Zeros (%)0.0%
Negative143
Negative (%)99.3%
Memory size1.4 KiB
2023-12-11T12:22:17.430749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.78
5-th percentile-1.77
Q1-1.76
median-1.66
Q3-1.64
95-th percentile-1.64
Maximum-1.64
Range0.14
Interquartile range (IQR)0.12

Descriptive statistics

Standard deviation0.055677113
Coefficient of variation (CV)-0.032779559
Kurtosis-1.8532975
Mean-1.6985315
Median Absolute Deviation (MAD)0.02
Skewness-0.19435544
Sum-242.89
Variance0.0030999409
MonotonicityNot monotonic
2023-12-11T12:22:17.589590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
-1.64 39
27.1%
-1.76 29
20.1%
-1.66 19
13.2%
-1.65 15
 
10.4%
-1.75 15
 
10.4%
-1.77 15
 
10.4%
-1.67 2
 
1.4%
-1.68 2
 
1.4%
-1.7 2
 
1.4%
-1.78 2
 
1.4%
Other values (3) 3
 
2.1%
ValueCountFrequency (%)
-1.78 2
 
1.4%
-1.77 15
10.4%
-1.76 29
20.1%
-1.75 15
10.4%
-1.73 1
 
0.7%
-1.72 1
 
0.7%
-1.7 2
 
1.4%
-1.69 1
 
0.7%
-1.68 2
 
1.4%
-1.67 2
 
1.4%
ValueCountFrequency (%)
-1.64 39
27.1%
-1.65 15
 
10.4%
-1.66 19
13.2%
-1.67 2
 
1.4%
-1.68 2
 
1.4%
-1.69 1
 
0.7%
-1.7 2
 
1.4%
-1.72 1
 
0.7%
-1.73 1
 
0.7%
-1.75 15
 
10.4%

2016-06-27
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.75
64 
-1.74
64 
-1.76
16 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.75
2nd row-1.75
3rd row-1.75
4th row-1.75
5th row-1.75

Common Values

ValueCountFrequency (%)
-1.75 64
44.4%
-1.74 64
44.4%
-1.76 16
 
11.1%

Length

2023-12-11T12:22:17.786541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:17.950105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.75 64
44.4%
1.74 64
44.4%
1.76 16
 
11.1%

2016-06-28
Categorical

Distinct6
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.72
54 
-1.71
29 
-1.74
27 
-1.73
22 
-1.7
10 

Length

Max length5
Median length5
Mean length4.9166667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.74
2nd row-1.74
3rd row-1.74
4th row-1.74
5th row-1.74

Common Values

ValueCountFrequency (%)
-1.72 54
37.5%
-1.71 29
20.1%
-1.74 27
18.8%
-1.73 22
15.3%
-1.7 10
 
6.9%
<NA> 2
 
1.4%

Length

2023-12-11T12:22:18.085146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:18.215037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.72 54
37.5%
1.71 29
20.1%
1.74 27
18.8%
1.73 22
15.3%
1.7 10
 
6.9%
na 2
 
1.4%

2016-06-29
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.69
55 
-1.68
46 
-1.67
27 
-1.7
16 

Length

Max length5
Median length5
Mean length4.8888889
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.7
2nd row-1.7
3rd row-1.7
4th row-1.7
5th row-1.7

Common Values

ValueCountFrequency (%)
-1.69 55
38.2%
-1.68 46
31.9%
-1.67 27
18.8%
-1.7 16
 
11.1%

Length

2023-12-11T12:22:18.350855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:18.474939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.69 55
38.2%
1.68 46
31.9%
1.67 27
18.8%
1.7 16
 
11.1%

2016-06-30
Categorical

Distinct5
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.67
66 
-1.66
49 
-1.65
14 
-1.68
10 
-1.64
 
5

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.67
2nd row-1.67
3rd row-1.67
4th row-1.67
5th row-1.67

Common Values

ValueCountFrequency (%)
-1.67 66
45.8%
-1.66 49
34.0%
-1.65 14
 
9.7%
-1.68 10
 
6.9%
-1.64 5
 
3.5%

Length

2023-12-11T12:22:18.614679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:18.796039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.67 66
45.8%
1.66 49
34.0%
1.65 14
 
9.7%
1.68 10
 
6.9%
1.64 5
 
3.5%

2016-07-01
Real number (ℝ)

Distinct13
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.6058333
Minimum-1.65
Maximum-1.53
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:18.915059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.65
5-th percentile-1.64
Q1-1.63
median-1.62
Q3-1.58
95-th percentile-1.5415
Maximum-1.53
Range0.12
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.033081802
Coefficient of variation (CV)-0.020601018
Kurtosis-0.68964531
Mean-1.6058333
Median Absolute Deviation (MAD)0.015
Skewness0.85700193
Sum-231.24
Variance0.0010944056
MonotonicityNot monotonic
2023-12-11T12:22:19.045310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
-1.63 33
22.9%
-1.62 31
21.5%
-1.64 21
14.6%
-1.55 12
 
8.3%
-1.56 9
 
6.2%
-1.61 8
 
5.6%
-1.6 8
 
5.6%
-1.58 7
 
4.9%
-1.54 6
 
4.2%
-1.57 4
 
2.8%
Other values (3) 5
 
3.5%
ValueCountFrequency (%)
-1.65 1
 
0.7%
-1.64 21
14.6%
-1.63 33
22.9%
-1.62 31
21.5%
-1.61 8
 
5.6%
-1.6 8
 
5.6%
-1.59 2
 
1.4%
-1.58 7
 
4.9%
-1.57 4
 
2.8%
-1.56 9
 
6.2%
ValueCountFrequency (%)
-1.53 2
 
1.4%
-1.54 6
 
4.2%
-1.55 12
 
8.3%
-1.56 9
 
6.2%
-1.57 4
 
2.8%
-1.58 7
 
4.9%
-1.59 2
 
1.4%
-1.6 8
 
5.6%
-1.61 8
 
5.6%
-1.62 31
21.5%

2016-07-02
Real number (ℝ)

MISSING 

Distinct42
Distinct (%)35.0%
Missing24
Missing (%)16.7%
Infinite0
Infinite (%)0.0%
Mean-1.2825833
Minimum-1.54
Maximum-1.08
Zeros0
Zeros (%)0.0%
Negative120
Negative (%)83.3%
Memory size1.4 KiB
2023-12-11T12:22:19.216608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.54
5-th percentile-1.51
Q1-1.41
median-1.28
Q3-1.13
95-th percentile-1.09
Maximum-1.08
Range0.46
Interquartile range (IQR)0.28

Descriptive statistics

Standard deviation0.1432486
Coefficient of variation (CV)-0.11168756
Kurtosis-1.3631415
Mean-1.2825833
Median Absolute Deviation (MAD)0.14
Skewness-0.09084029
Sum-153.91
Variance0.020520161
MonotonicityIncreasing
2023-12-11T12:22:19.765615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
-1.11 7
 
4.9%
-1.13 7
 
4.9%
-1.47 6
 
4.2%
-1.41 5
 
3.5%
-1.12 5
 
3.5%
-1.14 5
 
3.5%
-1.1 5
 
3.5%
-1.08 5
 
3.5%
-1.09 4
 
2.8%
-1.31 3
 
2.1%
Other values (32) 68
47.2%
(Missing) 24
 
16.7%
ValueCountFrequency (%)
-1.54 1
 
0.7%
-1.53 1
 
0.7%
-1.52 3
2.1%
-1.51 2
 
1.4%
-1.5 1
 
0.7%
-1.49 1
 
0.7%
-1.48 1
 
0.7%
-1.47 6
4.2%
-1.46 2
 
1.4%
-1.45 3
2.1%
ValueCountFrequency (%)
-1.08 5
3.5%
-1.09 4
2.8%
-1.1 5
3.5%
-1.11 7
4.9%
-1.12 5
3.5%
-1.13 7
4.9%
-1.14 5
3.5%
-1.2 3
2.1%
-1.21 3
2.1%
-1.22 3
2.1%

2016-07-03
Real number (ℝ)

Distinct42
Distinct (%)29.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.2385417
Minimum-1.58
Maximum-1.03
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:19.958736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.58
5-th percentile-1.5685
Q1-1.29
median-1.25
Q3-1.0675
95-th percentile-1.04
Maximum-1.03
Range0.55
Interquartile range (IQR)0.2225

Descriptive statistics

Standard deviation0.16269139
Coefficient of variation (CV)-0.13135722
Kurtosis-0.45899483
Mean-1.2385417
Median Absolute Deviation (MAD)0.12
Skewness-0.54654577
Sum-178.35
Variance0.026468488
MonotonicityNot monotonic
2023-12-11T12:22:20.111801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=42)
ValueCountFrequency (%)
-1.04 17
 
11.8%
-1.24 12
 
8.3%
-1.28 12
 
8.3%
-1.27 10
 
6.9%
-1.26 10
 
6.9%
-1.05 9
 
6.2%
-1.06 9
 
6.2%
-1.07 6
 
4.2%
-1.57 6
 
4.2%
-1.25 6
 
4.2%
Other values (32) 47
32.6%
ValueCountFrequency (%)
-1.58 2
 
1.4%
-1.57 6
4.2%
-1.56 1
 
0.7%
-1.55 5
3.5%
-1.54 1
 
0.7%
-1.52 1
 
0.7%
-1.51 1
 
0.7%
-1.49 1
 
0.7%
-1.48 1
 
0.7%
-1.47 1
 
0.7%
ValueCountFrequency (%)
-1.03 1
 
0.7%
-1.04 17
11.8%
-1.05 9
6.2%
-1.06 9
6.2%
-1.07 6
 
4.2%
-1.08 1
 
0.7%
-1.09 2
 
1.4%
-1.1 1
 
0.7%
-1.11 1
 
0.7%
-1.13 1
 
0.7%

2016-07-04
Real number (ℝ)

Distinct28
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.501875
Minimum-1.61
Maximum-1.34
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:20.256515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.61
5-th percentile-1.59
Q1-1.5425
median-1.51
Q3-1.47
95-th percentile-1.3815
Maximum-1.34
Range0.27
Interquartile range (IQR)0.0725

Descriptive statistics

Standard deviation0.060890464
Coefficient of variation (CV)-0.040542964
Kurtosis0.023605515
Mean-1.501875
Median Absolute Deviation (MAD)0.04
Skewness0.60041068
Sum-216.27
Variance0.0037076486
MonotonicityNot monotonic
2023-12-11T12:22:20.380772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
-1.52 12
 
8.3%
-1.5 12
 
8.3%
-1.54 10
 
6.9%
-1.49 10
 
6.9%
-1.56 9
 
6.2%
-1.51 9
 
6.2%
-1.47 9
 
6.2%
-1.53 7
 
4.9%
-1.46 7
 
4.9%
-1.57 7
 
4.9%
Other values (18) 52
36.1%
ValueCountFrequency (%)
-1.61 2
 
1.4%
-1.6 3
 
2.1%
-1.59 6
4.2%
-1.58 3
 
2.1%
-1.57 7
4.9%
-1.56 9
6.2%
-1.55 6
4.2%
-1.54 10
6.9%
-1.53 7
4.9%
-1.52 12
8.3%
ValueCountFrequency (%)
-1.34 1
 
0.7%
-1.35 2
1.4%
-1.36 2
1.4%
-1.37 2
1.4%
-1.38 1
 
0.7%
-1.39 3
2.1%
-1.4 2
1.4%
-1.41 2
1.4%
-1.42 2
1.4%
-1.43 3
2.1%

2016-07-05
Real number (ℝ)

Distinct31
Distinct (%)21.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.2988194
Minimum-1.44
Maximum-1.14
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:20.491786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.44
5-th percentile-1.42
Q1-1.3525
median-1.315
Q3-1.23
95-th percentile-1.1515
Maximum-1.14
Range0.3
Interquartile range (IQR)0.1225

Descriptive statistics

Standard deviation0.080587845
Coefficient of variation (CV)-0.062046996
Kurtosis-0.78003963
Mean-1.2988194
Median Absolute Deviation (MAD)0.055
Skewness0.42312469
Sum-187.03
Variance0.0064944007
MonotonicityNot monotonic
2023-12-11T12:22:20.619947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
-1.34 13
 
9.0%
-1.33 11
 
7.6%
-1.31 11
 
7.6%
-1.3 10
 
6.9%
-1.37 7
 
4.9%
-1.17 7
 
4.9%
-1.36 7
 
4.9%
-1.38 6
 
4.2%
-1.43 6
 
4.2%
-1.35 6
 
4.2%
Other values (21) 60
41.7%
ValueCountFrequency (%)
-1.44 1
 
0.7%
-1.43 6
4.2%
-1.42 3
2.1%
-1.41 2
 
1.4%
-1.4 2
 
1.4%
-1.39 2
 
1.4%
-1.38 6
4.2%
-1.37 7
4.9%
-1.36 7
4.9%
-1.35 6
4.2%
ValueCountFrequency (%)
-1.14 4
2.8%
-1.15 4
2.8%
-1.16 2
 
1.4%
-1.17 7
4.9%
-1.18 3
2.1%
-1.19 4
2.8%
-1.2 4
2.8%
-1.21 3
2.1%
-1.22 2
 
1.4%
-1.23 4
2.8%

2016-07-06
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)22.1%
Missing4
Missing (%)2.8%
Infinite0
Infinite (%)0.0%
Mean-1.3712857
Minimum-1.56
Maximum-1.22
Zeros0
Zeros (%)0.0%
Negative140
Negative (%)97.2%
Memory size1.4 KiB
2023-12-11T12:22:20.764055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.56
5-th percentile-1.5405
Q1-1.47
median-1.39
Q3-1.26
95-th percentile-1.23
Maximum-1.22
Range0.34
Interquartile range (IQR)0.21

Descriptive statistics

Standard deviation0.11172192
Coefficient of variation (CV)-0.08147239
Kurtosis-1.5196771
Mean-1.3712857
Median Absolute Deviation (MAD)0.11
Skewness-0.13244542
Sum-191.98
Variance0.012481788
MonotonicityNot monotonic
2023-12-11T12:22:20.898066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
-1.24 16
 
11.1%
-1.26 10
 
6.9%
-1.28 8
 
5.6%
-1.25 8
 
5.6%
-1.23 6
 
4.2%
-1.51 6
 
4.2%
-1.29 6
 
4.2%
-1.49 5
 
3.5%
-1.39 5
 
3.5%
-1.42 5
 
3.5%
Other values (21) 65
45.1%
ValueCountFrequency (%)
-1.56 2
 
1.4%
-1.55 5
3.5%
-1.54 3
2.1%
-1.53 3
2.1%
-1.52 4
2.8%
-1.51 6
4.2%
-1.5 4
2.8%
-1.49 5
3.5%
-1.48 1
 
0.7%
-1.47 4
2.8%
ValueCountFrequency (%)
-1.22 2
 
1.4%
-1.23 6
 
4.2%
-1.24 16
11.1%
-1.25 8
5.6%
-1.26 10
6.9%
-1.27 4
 
2.8%
-1.28 8
5.6%
-1.29 6
 
4.2%
-1.3 1
 
0.7%
-1.32 1
 
0.7%

2016-07-07
Real number (ℝ)

Distinct28
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.4259722
Minimum-1.6
Maximum-1.25
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:21.023152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.6
5-th percentile-1.57
Q1-1.53
median-1.5
Q3-1.3
95-th percentile-1.26
Maximum-1.25
Range0.35
Interquartile range (IQR)0.23

Descriptive statistics

Standard deviation0.12269879
Coefficient of variation (CV)-0.086045706
Kurtosis-1.764046
Mean-1.4259722
Median Absolute Deviation (MAD)0.09
Skewness0.15003098
Sum-205.34
Variance0.015054992
MonotonicityNot monotonic
2023-12-11T12:22:21.170063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
-1.53 23
16.0%
-1.52 13
 
9.0%
-1.55 10
 
6.9%
-1.26 8
 
5.6%
-1.29 8
 
5.6%
-1.56 8
 
5.6%
-1.54 7
 
4.9%
-1.3 6
 
4.2%
-1.28 6
 
4.2%
-1.27 6
 
4.2%
Other values (18) 49
34.0%
ValueCountFrequency (%)
-1.6 1
 
0.7%
-1.59 3
 
2.1%
-1.58 3
 
2.1%
-1.57 3
 
2.1%
-1.56 8
 
5.6%
-1.55 10
6.9%
-1.54 7
 
4.9%
-1.53 23
16.0%
-1.52 13
9.0%
-1.51 1
 
0.7%
ValueCountFrequency (%)
-1.25 6
4.2%
-1.26 8
5.6%
-1.27 6
4.2%
-1.28 6
4.2%
-1.29 8
5.6%
-1.3 6
4.2%
-1.31 4
2.8%
-1.32 5
3.5%
-1.33 3
 
2.1%
-1.34 4
2.8%

2016-07-08
Real number (ℝ)

Distinct19
Distinct (%)13.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5970139
Minimum-1.74
Maximum-1.48
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:21.376529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.74
5-th percentile-1.7285
Q1-1.7
median-1.56
Q3-1.49
95-th percentile-1.48
Maximum-1.48
Range0.26
Interquartile range (IQR)0.21

Descriptive statistics

Standard deviation0.10516108
Coefficient of variation (CV)-0.06584857
Kurtosis-1.9029553
Mean-1.5970139
Median Absolute Deviation (MAD)0.08
Skewness-0.054427022
Sum-229.97
Variance0.011058853
MonotonicityNot monotonic
2023-12-11T12:22:21.498645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-1.69 30
20.8%
-1.48 28
19.4%
-1.49 14
9.7%
-1.72 14
9.7%
-1.5 13
9.0%
-1.71 9
 
6.2%
-1.51 8
 
5.6%
-1.7 6
 
4.2%
-1.52 5
 
3.5%
-1.74 4
 
2.8%
Other values (9) 13
9.0%
ValueCountFrequency (%)
-1.74 4
 
2.8%
-1.73 4
 
2.8%
-1.72 14
9.7%
-1.71 9
 
6.2%
-1.7 6
 
4.2%
-1.69 30
20.8%
-1.67 1
 
0.7%
-1.64 1
 
0.7%
-1.62 1
 
0.7%
-1.59 1
 
0.7%
ValueCountFrequency (%)
-1.48 28
19.4%
-1.49 14
9.7%
-1.5 13
9.0%
-1.51 8
 
5.6%
-1.52 5
 
3.5%
-1.53 2
 
1.4%
-1.54 1
 
0.7%
-1.55 1
 
0.7%
-1.57 1
 
0.7%
-1.59 1
 
0.7%

2016-07-09
Real number (ℝ)

Distinct17
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.738125
Minimum-1.85
Maximum-1.66
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:21.598562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.85
5-th percentile-1.83
Q1-1.81
median-1.695
Q3-1.67
95-th percentile-1.66
Maximum-1.66
Range0.19
Interquartile range (IQR)0.14

Descriptive statistics

Standard deviation0.071575367
Coefficient of variation (CV)-0.041179643
Kurtosis-1.8508088
Mean-1.738125
Median Absolute Deviation (MAD)0.035
Skewness-0.13604996
Sum-250.29
Variance0.0051230332
MonotonicityNot monotonic
2023-12-11T12:22:21.731073image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
-1.66 34
23.6%
-1.81 26
18.1%
-1.68 15
10.4%
-1.8 14
9.7%
-1.67 12
 
8.3%
-1.82 12
 
8.3%
-1.69 11
 
7.6%
-1.84 6
 
4.2%
-1.83 5
 
3.5%
-1.7 2
 
1.4%
Other values (7) 7
 
4.9%
ValueCountFrequency (%)
-1.85 1
 
0.7%
-1.84 6
 
4.2%
-1.83 5
 
3.5%
-1.82 12
8.3%
-1.81 26
18.1%
-1.8 14
9.7%
-1.79 1
 
0.7%
-1.77 1
 
0.7%
-1.75 1
 
0.7%
-1.74 1
 
0.7%
ValueCountFrequency (%)
-1.66 34
23.6%
-1.67 12
 
8.3%
-1.68 15
10.4%
-1.69 11
 
7.6%
-1.7 2
 
1.4%
-1.71 1
 
0.7%
-1.72 1
 
0.7%
-1.74 1
 
0.7%
-1.75 1
 
0.7%
-1.77 1
 
0.7%

2016-07-10
Real number (ℝ)

Distinct9
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.8002083
Minimum-1.85
Maximum-1.77
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:21.848688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.85
5-th percentile-1.82
Q1-1.81
median-1.8
Q3-1.7875
95-th percentile-1.78
Maximum-1.77
Range0.08
Interquartile range (IQR)0.0225

Descriptive statistics

Standard deviation0.016618666
Coefficient of variation (CV)-0.0092315239
Kurtosis-0.1806003
Mean-1.8002083
Median Absolute Deviation (MAD)0.01
Skewness-0.33731324
Sum-259.23
Variance0.00027618007
MonotonicityNot monotonic
2023-12-11T12:22:21.960331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-1.81 44
30.6%
-1.78 33
22.9%
-1.79 24
16.7%
-1.8 17
 
11.8%
-1.82 17
 
11.8%
-1.77 3
 
2.1%
-1.83 2
 
1.4%
-1.84 2
 
1.4%
-1.85 2
 
1.4%
ValueCountFrequency (%)
-1.85 2
 
1.4%
-1.84 2
 
1.4%
-1.83 2
 
1.4%
-1.82 17
 
11.8%
-1.81 44
30.6%
-1.8 17
 
11.8%
-1.79 24
16.7%
-1.78 33
22.9%
-1.77 3
 
2.1%
ValueCountFrequency (%)
-1.77 3
 
2.1%
-1.78 33
22.9%
-1.79 24
16.7%
-1.8 17
 
11.8%
-1.81 44
30.6%
-1.82 17
 
11.8%
-1.83 2
 
1.4%
-1.84 2
 
1.4%
-1.85 2
 
1.4%

2016-07-11
Real number (ℝ)

Distinct6
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.7885417
Minimum-1.81
Maximum-1.76
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:22.077207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.81
5-th percentile-1.81
Q1-1.8
median-1.79
Q3-1.78
95-th percentile-1.7615
Maximum-1.76
Range0.05
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.013167493
Coefficient of variation (CV)-0.0073621393
Kurtosis-0.23759281
Mean-1.7885417
Median Absolute Deviation (MAD)0.01
Skewness0.26738361
Sum-257.55
Variance0.00017338287
MonotonicityNot monotonic
2023-12-11T12:22:22.190607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-1.79 62
43.1%
-1.78 21
 
14.6%
-1.81 19
 
13.2%
-1.8 18
 
12.5%
-1.77 16
 
11.1%
-1.76 8
 
5.6%
ValueCountFrequency (%)
-1.81 19
 
13.2%
-1.8 18
 
12.5%
-1.79 62
43.1%
-1.78 21
 
14.6%
-1.77 16
 
11.1%
-1.76 8
 
5.6%
ValueCountFrequency (%)
-1.76 8
 
5.6%
-1.77 16
 
11.1%
-1.78 21
 
14.6%
-1.79 62
43.1%
-1.8 18
 
12.5%
-1.81 19
 
13.2%

2016-07-12
Real number (ℝ)

Distinct6
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.7316667
Minimum-1.76
Maximum-1.71
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:22.309053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.76
5-th percentile-1.76
Q1-1.75
median-1.73
Q3-1.72
95-th percentile-1.71
Maximum-1.71
Range0.05
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.016641006
Coefficient of variation (CV)-0.0096098205
Kurtosis-0.97722539
Mean-1.7316667
Median Absolute Deviation (MAD)0.01
Skewness-0.46986555
Sum-249.36
Variance0.00027692308
MonotonicityNot monotonic
2023-12-11T12:22:22.431378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-1.73 40
27.8%
-1.72 34
23.6%
-1.71 24
16.7%
-1.76 22
15.3%
-1.75 16
 
11.1%
-1.74 8
 
5.6%
ValueCountFrequency (%)
-1.76 22
15.3%
-1.75 16
 
11.1%
-1.74 8
 
5.6%
-1.73 40
27.8%
-1.72 34
23.6%
-1.71 24
16.7%
ValueCountFrequency (%)
-1.71 24
16.7%
-1.72 34
23.6%
-1.73 40
27.8%
-1.74 8
 
5.6%
-1.75 16
 
11.1%
-1.76 22
15.3%

2016-07-13
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.7
69 
-1.71
42 
<NA>
19 
-1.69
14 

Length

Max length5
Median length4
Mean length4.3888889
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.71
2nd row-1.71
3rd row-1.71
4th row-1.71
5th row-1.71

Common Values

ValueCountFrequency (%)
-1.7 69
47.9%
-1.71 42
29.2%
<NA> 19
 
13.2%
-1.69 14
 
9.7%

Length

2023-12-11T12:22:22.544779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:22.653627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.7 69
47.9%
1.71 42
29.2%
na 19
 
13.2%
1.69 14
 
9.7%

2016-07-14
Categorical

Distinct5
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.69
66 
<NA>
32 
-1.68
26 
-1.67
19 
-1.7
 
1

Length

Max length5
Median length5
Mean length4.7708333
Min length4

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row-1.69
2nd row-1.69
3rd row-1.69
4th row-1.69
5th row-1.69

Common Values

ValueCountFrequency (%)
-1.69 66
45.8%
<NA> 32
22.2%
-1.68 26
 
18.1%
-1.67 19
 
13.2%
-1.7 1
 
0.7%

Length

2023-12-11T12:22:22.776826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:22.897569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.69 66
45.8%
na 32
22.2%
1.68 26
 
18.1%
1.67 19
 
13.2%
1.7 1
 
0.7%

2016-07-15
Real number (ℝ)

Distinct6
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.65125
Minimum-1.67
Maximum-1.62
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:23.007829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.67
5-th percentile-1.67
Q1-1.66
median-1.65
Q3-1.65
95-th percentile-1.63
Maximum-1.62
Range0.05
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.012053204
Coefficient of variation (CV)-0.0072994421
Kurtosis0.44509027
Mean-1.65125
Median Absolute Deviation (MAD)0.01
Skewness0.754017
Sum-237.78
Variance0.00014527972
MonotonicityNot monotonic
2023-12-11T12:22:23.125024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-1.65 57
39.6%
-1.66 43
29.9%
-1.67 14
 
9.7%
-1.64 13
 
9.0%
-1.63 11
 
7.6%
-1.62 6
 
4.2%
ValueCountFrequency (%)
-1.67 14
 
9.7%
-1.66 43
29.9%
-1.65 57
39.6%
-1.64 13
 
9.0%
-1.63 11
 
7.6%
-1.62 6
 
4.2%
ValueCountFrequency (%)
-1.62 6
 
4.2%
-1.63 11
 
7.6%
-1.64 13
 
9.0%
-1.65 57
39.6%
-1.66 43
29.9%
-1.67 14
 
9.7%

2016-07-16
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)4.8%
Missing18
Missing (%)12.5%
Infinite0
Infinite (%)0.0%
Mean-1.5856349
Minimum-1.61
Maximum-1.56
Zeros0
Zeros (%)0.0%
Negative126
Negative (%)87.5%
Memory size1.4 KiB
2023-12-11T12:22:23.233504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.61
5-th percentile-1.61
Q1-1.59
median-1.58
Q3-1.58
95-th percentile-1.57
Maximum-1.56
Range0.05
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.011419004
Coefficient of variation (CV)-0.0072015341
Kurtosis0.084063751
Mean-1.5856349
Median Absolute Deviation (MAD)0.01
Skewness-0.13606012
Sum-199.79
Variance0.00013039365
MonotonicityNot monotonic
2023-12-11T12:22:23.338470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-1.58 47
32.6%
-1.59 39
27.1%
-1.6 15
 
10.4%
-1.57 12
 
8.3%
-1.61 8
 
5.6%
-1.56 5
 
3.5%
(Missing) 18
 
12.5%
ValueCountFrequency (%)
-1.61 8
 
5.6%
-1.6 15
 
10.4%
-1.59 39
27.1%
-1.58 47
32.6%
-1.57 12
 
8.3%
-1.56 5
 
3.5%
ValueCountFrequency (%)
-1.56 5
 
3.5%
-1.57 12
 
8.3%
-1.58 47
32.6%
-1.59 39
27.1%
-1.6 15
 
10.4%
-1.61 8
 
5.6%

2016-07-17
Categorical

Distinct5
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.56
40 
-1.55
38 
<NA>
36 
-1.54
21 
-1.57

Length

Max length5
Median length5
Mean length4.75
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.57
2nd row-1.57
3rd row-1.57
4th row-1.57
5th row-1.57

Common Values

ValueCountFrequency (%)
-1.56 40
27.8%
-1.55 38
26.4%
<NA> 36
25.0%
-1.54 21
14.6%
-1.57 9
 
6.2%

Length

2023-12-11T12:22:23.467840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:23.599604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.56 40
27.8%
1.55 38
26.4%
na 36
25.0%
1.54 21
14.6%
1.57 9
 
6.2%

2016-07-18
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.53
83 
-1.52
53 
-1.54
 
8

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.54
2nd row-1.54
3rd row-1.54
4th row-1.54
5th row-1.54

Common Values

ValueCountFrequency (%)
-1.53 83
57.6%
-1.52 53
36.8%
-1.54 8
 
5.6%

Length

2023-12-11T12:22:23.760491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:23.896050image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.53 83
57.6%
1.52 53
36.8%
1.54 8
 
5.6%

2016-07-19
Real number (ℝ)

Distinct15
Distinct (%)10.5%
Missing1
Missing (%)0.7%
Infinite0
Infinite (%)0.0%
Mean-1.4453147
Minimum-1.52
Maximum-1.34
Zeros0
Zeros (%)0.0%
Negative143
Negative (%)99.3%
Memory size1.4 KiB
2023-12-11T12:22:24.015667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.52
5-th percentile-1.51
Q1-1.51
median-1.42
Q3-1.38
95-th percentile-1.38
Maximum-1.34
Range0.18
Interquartile range (IQR)0.13

Descriptive statistics

Standard deviation0.062684142
Coefficient of variation (CV)-0.043370584
Kurtosis-1.880615
Mean-1.4453147
Median Absolute Deviation (MAD)0.06
Skewness0.001496999
Sum-206.68
Variance0.0039293017
MonotonicityNot monotonic
2023-12-11T12:22:24.150342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
-1.51 52
36.1%
-1.38 35
24.3%
-1.39 20
 
13.9%
-1.5 8
 
5.6%
-1.52 7
 
4.9%
-1.41 5
 
3.5%
-1.4 4
 
2.8%
-1.36 3
 
2.1%
-1.42 2
 
1.4%
-1.34 2
 
1.4%
Other values (5) 5
 
3.5%
ValueCountFrequency (%)
-1.52 7
 
4.9%
-1.51 52
36.1%
-1.5 8
 
5.6%
-1.48 1
 
0.7%
-1.45 1
 
0.7%
-1.44 1
 
0.7%
-1.43 1
 
0.7%
-1.42 2
 
1.4%
-1.41 5
 
3.5%
-1.4 4
 
2.8%
ValueCountFrequency (%)
-1.34 2
 
1.4%
-1.36 3
 
2.1%
-1.37 1
 
0.7%
-1.38 35
24.3%
-1.39 20
13.9%
-1.4 4
 
2.8%
-1.41 5
 
3.5%
-1.42 2
 
1.4%
-1.43 1
 
0.7%
-1.44 1
 
0.7%

2016-07-20
Real number (ℝ)

Distinct16
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.2744444
Minimum-1.38
Maximum-1.14
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:24.290738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.38
5-th percentile-1.37
Q1-1.3625
median-1.36
Q3-1.17
95-th percentile-1.16
Maximum-1.14
Range0.24
Interquartile range (IQR)0.1925

Descriptive statistics

Standard deviation0.095564409
Coefficient of variation (CV)-0.074985151
Kurtosis-1.9312735
Mean-1.2744444
Median Absolute Deviation (MAD)0.02
Skewness0.13478062
Sum-183.52
Variance0.0091325563
MonotonicityNot monotonic
2023-12-11T12:22:24.416160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.17 38
26.4%
-1.36 37
25.7%
-1.37 31
21.5%
-1.18 9
 
6.2%
-1.16 8
 
5.6%
-1.38 5
 
3.5%
-1.19 4
 
2.8%
-1.14 2
 
1.4%
-1.22 2
 
1.4%
-1.28 2
 
1.4%
Other values (6) 6
 
4.2%
ValueCountFrequency (%)
-1.38 5
 
3.5%
-1.37 31
21.5%
-1.36 37
25.7%
-1.33 1
 
0.7%
-1.28 2
 
1.4%
-1.26 1
 
0.7%
-1.25 1
 
0.7%
-1.24 1
 
0.7%
-1.22 2
 
1.4%
-1.2 1
 
0.7%
ValueCountFrequency (%)
-1.14 2
 
1.4%
-1.15 1
 
0.7%
-1.16 8
 
5.6%
-1.17 38
26.4%
-1.18 9
 
6.2%
-1.19 4
 
2.8%
-1.2 1
 
0.7%
-1.22 2
 
1.4%
-1.24 1
 
0.7%
-1.25 1
 
0.7%

2016-07-21
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)39.6%
Missing96
Missing (%)66.7%
Infinite0
Infinite (%)0.0%
Mean-1.2858333
Minimum-1.84
Maximum-1.15
Zeros0
Zeros (%)0.0%
Negative48
Negative (%)33.3%
Memory size1.4 KiB
2023-12-11T12:22:24.542292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.84
5-th percentile-1.4
Q1-1.39
median-1.27
Q3-1.15
95-th percentile-1.15
Maximum-1.15
Range0.69
Interquartile range (IQR)0.24

Descriptive statistics

Standard deviation0.1365663
Coefficient of variation (CV)-0.1062084
Kurtosis3.9658413
Mean-1.2858333
Median Absolute Deviation (MAD)0.12
Skewness-1.3456628
Sum-61.72
Variance0.018650355
MonotonicityNot monotonic
2023-12-11T12:22:24.657742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-1.15 14
 
9.7%
-1.4 9
 
6.2%
-1.39 4
 
2.8%
-1.38 3
 
2.1%
-1.17 3
 
2.1%
-1.21 2
 
1.4%
-1.24 1
 
0.7%
-1.26 1
 
0.7%
-1.28 1
 
0.7%
-1.31 1
 
0.7%
Other values (9) 9
 
6.2%
(Missing) 96
66.7%
ValueCountFrequency (%)
-1.84 1
 
0.7%
-1.46 1
 
0.7%
-1.4 9
6.2%
-1.39 4
2.8%
-1.38 3
 
2.1%
-1.37 1
 
0.7%
-1.36 1
 
0.7%
-1.34 1
 
0.7%
-1.32 1
 
0.7%
-1.31 1
 
0.7%
ValueCountFrequency (%)
-1.15 14
9.7%
-1.17 3
 
2.1%
-1.18 1
 
0.7%
-1.2 1
 
0.7%
-1.21 2
 
1.4%
-1.23 1
 
0.7%
-1.24 1
 
0.7%
-1.26 1
 
0.7%
-1.28 1
 
0.7%
-1.31 1
 
0.7%

2016-07-22
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)23.8%
Missing64
Missing (%)44.4%
Infinite0
Infinite (%)0.0%
Mean-1.505
Minimum-1.63
Maximum-1.37
Zeros0
Zeros (%)0.0%
Negative80
Negative (%)55.6%
Memory size1.4 KiB
2023-12-11T12:22:24.780091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.63
5-th percentile-1.59
Q1-1.52
median-1.51
Q3-1.5
95-th percentile-1.38
Maximum-1.37
Range0.26
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.050390877
Coefficient of variation (CV)-0.03348231
Kurtosis2.3139127
Mean-1.505
Median Absolute Deviation (MAD)0.01
Skewness0.75945901
Sum-120.4
Variance0.0025392405
MonotonicityNot monotonic
2023-12-11T12:22:24.912723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-1.51 27
18.8%
-1.5 14
 
9.7%
-1.52 9
 
6.2%
-1.53 4
 
2.8%
-1.55 3
 
2.1%
-1.38 3
 
2.1%
-1.37 3
 
2.1%
-1.62 2
 
1.4%
-1.59 2
 
1.4%
-1.54 2
 
1.4%
Other values (9) 11
 
7.6%
(Missing) 64
44.4%
ValueCountFrequency (%)
-1.63 1
 
0.7%
-1.62 2
 
1.4%
-1.59 2
 
1.4%
-1.57 1
 
0.7%
-1.56 1
 
0.7%
-1.55 3
 
2.1%
-1.54 2
 
1.4%
-1.53 4
 
2.8%
-1.52 9
 
6.2%
-1.51 27
18.8%
ValueCountFrequency (%)
-1.37 3
 
2.1%
-1.38 3
 
2.1%
-1.43 2
 
1.4%
-1.44 1
 
0.7%
-1.45 1
 
0.7%
-1.47 1
 
0.7%
-1.48 2
 
1.4%
-1.49 1
 
0.7%
-1.5 14
9.7%
-1.51 27
18.8%

2016-07-23
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)19.4%
Missing51
Missing (%)35.4%
Infinite0
Infinite (%)0.0%
Mean-1.5324731
Minimum-1.73
Maximum-1.48
Zeros0
Zeros (%)0.0%
Negative93
Negative (%)64.6%
Memory size1.4 KiB
2023-12-11T12:22:25.041528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.73
5-th percentile-1.72
Q1-1.52
median-1.51
Q3-1.5
95-th percentile-1.49
Maximum-1.48
Range0.25
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.063136428
Coefficient of variation (CV)-0.041199044
Kurtosis4.2264716
Mean-1.5324731
Median Absolute Deviation (MAD)0.01
Skewness-2.3315816
Sum-142.52
Variance0.0039862085
MonotonicityNot monotonic
2023-12-11T12:22:25.192711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-1.51 42
29.2%
-1.5 20
 
13.9%
-1.52 5
 
3.5%
-1.49 4
 
2.8%
-1.53 4
 
2.8%
-1.73 3
 
2.1%
-1.72 3
 
2.1%
-1.48 2
 
1.4%
-1.55 1
 
0.7%
-1.54 1
 
0.7%
Other values (8) 8
 
5.6%
(Missing) 51
35.4%
ValueCountFrequency (%)
-1.73 3
2.1%
-1.72 3
2.1%
-1.71 1
 
0.7%
-1.67 1
 
0.7%
-1.65 1
 
0.7%
-1.63 1
 
0.7%
-1.61 1
 
0.7%
-1.6 1
 
0.7%
-1.58 1
 
0.7%
-1.57 1
 
0.7%
ValueCountFrequency (%)
-1.48 2
 
1.4%
-1.49 4
 
2.8%
-1.5 20
13.9%
-1.51 42
29.2%
-1.52 5
 
3.5%
-1.53 4
 
2.8%
-1.54 1
 
0.7%
-1.55 1
 
0.7%
-1.57 1
 
0.7%
-1.58 1
 
0.7%

2016-07-24
Real number (ℝ)

Distinct22
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5364583
Minimum-1.74
Maximum-1.48
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:25.327785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.74
5-th percentile-1.69
Q1-1.54
median-1.53
Q3-1.49
95-th percentile-1.49
Maximum-1.48
Range0.26
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.061331026
Coefficient of variation (CV)-0.039917142
Kurtosis3.1534964
Mean-1.5364583
Median Absolute Deviation (MAD)0.03
Skewness-1.8755585
Sum-221.25
Variance0.0037614948
MonotonicityNot monotonic
2023-12-11T12:22:25.490369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
-1.49 39
27.1%
-1.54 29
20.1%
-1.5 24
16.7%
-1.53 10
 
6.9%
-1.55 5
 
3.5%
-1.48 4
 
2.8%
-1.56 4
 
2.8%
-1.52 3
 
2.1%
-1.57 3
 
2.1%
-1.59 3
 
2.1%
Other values (12) 20
13.9%
ValueCountFrequency (%)
-1.74 3
2.1%
-1.73 1
 
0.7%
-1.72 2
1.4%
-1.7 1
 
0.7%
-1.69 2
1.4%
-1.67 2
1.4%
-1.65 2
1.4%
-1.62 2
1.4%
-1.61 1
 
0.7%
-1.6 1
 
0.7%
ValueCountFrequency (%)
-1.48 4
 
2.8%
-1.49 39
27.1%
-1.5 24
16.7%
-1.51 1
 
0.7%
-1.52 3
 
2.1%
-1.53 10
 
6.9%
-1.54 29
20.1%
-1.55 5
 
3.5%
-1.56 4
 
2.8%
-1.57 3
 
2.1%

2016-07-25
Real number (ℝ)

Distinct17
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5497917
Minimum-1.67
Maximum-1.51
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:25.631231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.67
5-th percentile-1.64
Q1-1.54
median-1.53
Q3-1.53
95-th percentile-1.52
Maximum-1.51
Range0.16
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.040234779
Coefficient of variation (CV)-0.025961411
Kurtosis1.3620984
Mean-1.5497917
Median Absolute Deviation (MAD)0.01
Skewness-1.6289725
Sum-223.17
Variance0.0016188374
MonotonicityNot monotonic
2023-12-11T12:22:25.872828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
-1.53 55
38.2%
-1.54 27
18.8%
-1.52 23
16.0%
-1.63 6
 
4.2%
-1.51 4
 
2.8%
-1.64 4
 
2.8%
-1.55 3
 
2.1%
-1.62 3
 
2.1%
-1.6 3
 
2.1%
-1.58 3
 
2.1%
Other values (7) 13
 
9.0%
ValueCountFrequency (%)
-1.67 2
 
1.4%
-1.66 2
 
1.4%
-1.65 2
 
1.4%
-1.64 4
2.8%
-1.63 6
4.2%
-1.62 3
2.1%
-1.61 2
 
1.4%
-1.6 3
2.1%
-1.59 2
 
1.4%
-1.58 3
2.1%
ValueCountFrequency (%)
-1.51 4
 
2.8%
-1.52 23
16.0%
-1.53 55
38.2%
-1.54 27
18.8%
-1.55 3
 
2.1%
-1.56 2
 
1.4%
-1.57 1
 
0.7%
-1.58 3
 
2.1%
-1.59 2
 
1.4%
-1.6 3
 
2.1%

2016-07-26
Real number (ℝ)

Distinct22
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5871528
Minimum-1.75
Maximum-1.52
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:26.061374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.75
5-th percentile-1.7085
Q1-1.64
median-1.54
Q3-1.53
95-th percentile-1.52
Maximum-1.52
Range0.23
Interquartile range (IQR)0.11

Descriptive statistics

Standard deviation0.068476561
Coefficient of variation (CV)-0.043144278
Kurtosis-1.0114215
Mean-1.5871528
Median Absolute Deviation (MAD)0.02
Skewness-0.5547454
Sum-228.55
Variance0.0046890394
MonotonicityNot monotonic
2023-12-11T12:22:26.228089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
-1.53 39
27.1%
-1.52 29
20.1%
-1.64 29
20.1%
-1.63 7
 
4.9%
-1.54 7
 
4.9%
-1.66 5
 
3.5%
-1.74 4
 
2.8%
-1.65 4
 
2.8%
-1.67 3
 
2.1%
-1.68 3
 
2.1%
Other values (12) 14
 
9.7%
ValueCountFrequency (%)
-1.75 1
 
0.7%
-1.74 4
2.8%
-1.73 1
 
0.7%
-1.72 1
 
0.7%
-1.71 1
 
0.7%
-1.7 3
2.1%
-1.68 3
2.1%
-1.67 3
2.1%
-1.66 5
3.5%
-1.65 4
2.8%
ValueCountFrequency (%)
-1.52 29
20.1%
-1.53 39
27.1%
-1.54 7
 
4.9%
-1.56 1
 
0.7%
-1.57 1
 
0.7%
-1.58 1
 
0.7%
-1.59 1
 
0.7%
-1.6 1
 
0.7%
-1.61 1
 
0.7%
-1.62 1
 
0.7%

2016-07-27
Real number (ℝ)

Distinct15
Distinct (%)10.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.6534028
Minimum-1.77
Maximum-1.63
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:26.406600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.77
5-th percentile-1.7385
Q1-1.6525
median-1.64
Q3-1.6375
95-th percentile-1.63
Maximum-1.63
Range0.14
Interquartile range (IQR)0.015

Descriptive statistics

Standard deviation0.033327432
Coefficient of variation (CV)-0.020156875
Kurtosis4.6622883
Mean-1.6534028
Median Absolute Deviation (MAD)0.01
Skewness-2.2574698
Sum-238.09
Variance0.0011107178
MonotonicityNot monotonic
2023-12-11T12:22:26.586482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
-1.64 56
38.9%
-1.63 36
25.0%
-1.65 16
 
11.1%
-1.66 8
 
5.6%
-1.67 6
 
4.2%
-1.77 5
 
3.5%
-1.69 4
 
2.8%
-1.68 3
 
2.1%
-1.7 3
 
2.1%
-1.71 2
 
1.4%
Other values (5) 5
 
3.5%
ValueCountFrequency (%)
-1.77 5
3.5%
-1.76 1
 
0.7%
-1.75 1
 
0.7%
-1.74 1
 
0.7%
-1.73 1
 
0.7%
-1.72 1
 
0.7%
-1.71 2
 
1.4%
-1.7 3
2.1%
-1.69 4
2.8%
-1.68 3
2.1%
ValueCountFrequency (%)
-1.63 36
25.0%
-1.64 56
38.9%
-1.65 16
 
11.1%
-1.66 8
 
5.6%
-1.67 6
 
4.2%
-1.68 3
 
2.1%
-1.69 4
 
2.8%
-1.7 3
 
2.1%
-1.71 2
 
1.4%
-1.72 1
 
0.7%

2016-07-28
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.64
54 
-1.65
52 
-1.66
22 
-1.63
16 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.64
2nd row-1.64
3rd row-1.64
4th row-1.64
5th row-1.64

Common Values

ValueCountFrequency (%)
-1.64 54
37.5%
-1.65 52
36.1%
-1.66 22
15.3%
-1.63 16
 
11.1%

Length

2023-12-11T12:22:26.784108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:26.969391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.64 54
37.5%
1.65 52
36.1%
1.66 22
15.3%
1.63 16
 
11.1%

2016-07-29
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.63
102 
-1.64
19 
<NA>
14 
-1.62
 
9

Length

Max length5
Median length5
Mean length4.9027778
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.63
2nd row-1.63
3rd row-1.63
4th row-1.63
5th row-1.63

Common Values

ValueCountFrequency (%)
-1.63 102
70.8%
-1.64 19
 
13.2%
<NA> 14
 
9.7%
-1.62 9
 
6.2%

Length

2023-12-11T12:22:27.124573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:27.267289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.63 102
70.8%
1.64 19
 
13.2%
na 14
 
9.7%
1.62 9
 
6.2%

2016-07-30
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.61
92 
-1.62
45 
-1.6
 
7

Length

Max length5
Median length5
Mean length4.9513889
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.62
2nd row-1.62
3rd row-1.61
4th row-1.61
5th row-1.61

Common Values

ValueCountFrequency (%)
-1.61 92
63.9%
-1.62 45
31.2%
-1.6 7
 
4.9%

Length

2023-12-11T12:22:27.416901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:27.544368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.61 92
63.9%
1.62 45
31.2%
1.6 7
 
4.9%

2016-07-31
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.6
86 
-1.59
58 

Length

Max length5
Median length4
Mean length4.4027778
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.6
2nd row-1.6
3rd row-1.6
4th row-1.6
5th row-1.6

Common Values

ValueCountFrequency (%)
-1.6 86
59.7%
-1.59 58
40.3%

Length

2023-12-11T12:22:27.680389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:27.892572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.6 86
59.7%
1.59 58
40.3%

2016-08-01
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.58
79 
-1.59
55 
<NA>
10 

Length

Max length5
Median length5
Mean length4.9305556
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.59
2nd row-1.59
3rd row-1.59
4th row-1.59
5th row-1.59

Common Values

ValueCountFrequency (%)
-1.58 79
54.9%
-1.59 55
38.2%
<NA> 10
 
6.9%

Length

2023-12-11T12:22:28.104369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:28.311470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.58 79
54.9%
1.59 55
38.2%
na 10
 
6.9%

2016-08-02
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)21.3%
Missing55
Missing (%)38.2%
Infinite0
Infinite (%)0.0%
Mean-1.5493258
Minimum-1.68
Maximum-1.4
Zeros0
Zeros (%)0.0%
Negative89
Negative (%)61.8%
Memory size1.4 KiB
2023-12-11T12:22:28.835222image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.68
5-th percentile-1.666
Q1-1.58
median-1.57
Q3-1.57
95-th percentile-1.42
Maximum-1.4
Range0.28
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.074754108
Coefficient of variation (CV)-0.048249443
Kurtosis-0.50856178
Mean-1.5493258
Median Absolute Deviation (MAD)0.01
Skewness0.62867485
Sum-137.89
Variance0.0055881767
MonotonicityNot monotonic
2023-12-11T12:22:28.991959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-1.57 41
28.5%
-1.58 9
 
6.2%
-1.43 7
 
4.9%
-1.44 5
 
3.5%
-1.62 4
 
2.8%
-1.42 3
 
2.1%
-1.68 3
 
2.1%
-1.41 3
 
2.1%
-1.45 2
 
1.4%
-1.67 2
 
1.4%
Other values (9) 10
 
6.9%
(Missing) 55
38.2%
ValueCountFrequency (%)
-1.68 3
2.1%
-1.67 2
1.4%
-1.66 1
 
0.7%
-1.65 1
 
0.7%
-1.64 1
 
0.7%
-1.63 1
 
0.7%
-1.62 4
2.8%
-1.61 1
 
0.7%
-1.6 2
1.4%
-1.59 1
 
0.7%
ValueCountFrequency (%)
-1.4 1
 
0.7%
-1.41 3
 
2.1%
-1.42 3
 
2.1%
-1.43 7
 
4.9%
-1.44 5
 
3.5%
-1.45 2
 
1.4%
-1.46 1
 
0.7%
-1.57 41
28.5%
-1.58 9
 
6.2%
-1.59 1
 
0.7%

2016-08-03
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)15.9%
Missing37
Missing (%)25.7%
Infinite0
Infinite (%)0.0%
Mean-1.4557009
Minimum-1.57
Maximum-1.41
Zeros0
Zeros (%)0.0%
Negative107
Negative (%)74.3%
Memory size1.4 KiB
2023-12-11T12:22:29.157079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.57
5-th percentile-1.56
Q1-1.46
median-1.44
Q3-1.44
95-th percentile-1.42
Maximum-1.41
Range0.16
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.039408651
Coefficient of variation (CV)-0.027071942
Kurtosis2.4640913
Mean-1.4557009
Median Absolute Deviation (MAD)0.01
Skewness-1.7912596
Sum-155.76
Variance0.0015530418
MonotonicityNot monotonic
2023-12-11T12:22:29.326068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
-1.44 39
27.1%
-1.45 16
11.1%
-1.42 15
 
10.4%
-1.43 6
 
4.2%
-1.46 6
 
4.2%
-1.47 5
 
3.5%
-1.57 5
 
3.5%
-1.48 2
 
1.4%
-1.5 2
 
1.4%
-1.52 2
 
1.4%
Other values (7) 9
 
6.2%
(Missing) 37
25.7%
ValueCountFrequency (%)
-1.57 5
3.5%
-1.56 2
 
1.4%
-1.55 1
 
0.7%
-1.54 1
 
0.7%
-1.53 1
 
0.7%
-1.52 2
 
1.4%
-1.51 1
 
0.7%
-1.5 2
 
1.4%
-1.49 1
 
0.7%
-1.48 2
 
1.4%
ValueCountFrequency (%)
-1.41 2
 
1.4%
-1.42 15
 
10.4%
-1.43 6
 
4.2%
-1.44 39
27.1%
-1.45 16
11.1%
-1.46 6
 
4.2%
-1.47 5
 
3.5%
-1.48 2
 
1.4%
-1.49 1
 
0.7%
-1.5 2
 
1.4%

2016-08-04
Real number (ℝ)

Distinct16
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.4527083
Minimum-1.58
Maximum-1.41
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:29.501786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.58
5-th percentile-1.5585
Q1-1.46
median-1.45
Q3-1.42
95-th percentile-1.42
Maximum-1.41
Range0.17
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.039422736
Coefficient of variation (CV)-0.027137406
Kurtosis3.6009734
Mean-1.4527083
Median Absolute Deviation (MAD)0.02
Skewness-1.9549605
Sum-209.19
Variance0.0015541521
MonotonicityNot monotonic
2023-12-11T12:22:29.662653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.45 38
26.4%
-1.42 36
25.0%
-1.43 16
11.1%
-1.46 13
 
9.0%
-1.44 12
 
8.3%
-1.47 6
 
4.2%
-1.58 6
 
4.2%
-1.48 4
 
2.8%
-1.51 3
 
2.1%
-1.53 2
 
1.4%
Other values (6) 8
 
5.6%
ValueCountFrequency (%)
-1.58 6
4.2%
-1.57 1
 
0.7%
-1.56 1
 
0.7%
-1.55 1
 
0.7%
-1.54 1
 
0.7%
-1.53 2
 
1.4%
-1.51 3
2.1%
-1.49 2
 
1.4%
-1.48 4
2.8%
-1.47 6
4.2%
ValueCountFrequency (%)
-1.41 2
 
1.4%
-1.42 36
25.0%
-1.43 16
11.1%
-1.44 12
 
8.3%
-1.45 38
26.4%
-1.46 13
 
9.0%
-1.47 6
 
4.2%
-1.48 4
 
2.8%
-1.49 2
 
1.4%
-1.51 3
 
2.1%

2016-08-05
Real number (ℝ)

Distinct23
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.4115972
Minimum-1.59
Maximum-1.32
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:29.823422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.59
5-th percentile-1.557
Q1-1.44
median-1.43
Q3-1.34
95-th percentile-1.3315
Maximum-1.32
Range0.27
Interquartile range (IQR)0.1

Descriptive statistics

Standard deviation0.066696926
Coefficient of variation (CV)-0.047249262
Kurtosis0.1225388
Mean-1.4115972
Median Absolute Deviation (MAD)0.06
Skewness-0.69720615
Sum-203.27
Variance0.00444848
MonotonicityNot monotonic
2023-12-11T12:22:30.013548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
-1.43 44
30.6%
-1.34 29
20.1%
-1.35 11
 
7.6%
-1.45 9
 
6.2%
-1.44 9
 
6.2%
-1.36 6
 
4.2%
-1.33 5
 
3.5%
-1.49 4
 
2.8%
-1.32 3
 
2.1%
-1.57 3
 
2.1%
Other values (13) 21
14.6%
ValueCountFrequency (%)
-1.59 2
1.4%
-1.58 2
1.4%
-1.57 3
2.1%
-1.56 1
 
0.7%
-1.54 2
1.4%
-1.52 2
1.4%
-1.51 1
 
0.7%
-1.5 2
1.4%
-1.49 4
2.8%
-1.47 1
 
0.7%
ValueCountFrequency (%)
-1.32 3
 
2.1%
-1.33 5
 
3.5%
-1.34 29
20.1%
-1.35 11
 
7.6%
-1.36 6
 
4.2%
-1.37 2
 
1.4%
-1.38 2
 
1.4%
-1.39 1
 
0.7%
-1.42 2
 
1.4%
-1.43 44
30.6%

2016-08-06
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)18.4%
Missing41
Missing (%)28.5%
Infinite0
Infinite (%)0.0%
Mean-1.3742718
Minimum-1.51
Maximum-1.32
Zeros0
Zeros (%)0.0%
Negative103
Negative (%)71.5%
Memory size1.4 KiB
2023-12-11T12:22:30.194119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.51
5-th percentile-1.49
Q1-1.43
median-1.33
Q3-1.32
95-th percentile-1.32
Maximum-1.32
Range0.19
Interquartile range (IQR)0.11

Descriptive statistics

Standard deviation0.064193365
Coefficient of variation (CV)-0.04671082
Kurtosis-0.99726312
Mean-1.3742718
Median Absolute Deviation (MAD)0.01
Skewness-0.76700605
Sum-141.55
Variance0.0041207881
MonotonicityNot monotonic
2023-12-11T12:22:30.365078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
-1.32 33
22.9%
-1.33 23
16.0%
-1.43 6
 
4.2%
-1.44 5
 
3.5%
-1.34 4
 
2.8%
-1.46 4
 
2.8%
-1.39 3
 
2.1%
-1.45 3
 
2.1%
-1.47 3
 
2.1%
-1.49 3
 
2.1%
Other values (9) 16
 
11.1%
(Missing) 41
28.5%
ValueCountFrequency (%)
-1.51 3
2.1%
-1.5 2
 
1.4%
-1.49 3
2.1%
-1.48 2
 
1.4%
-1.47 3
2.1%
-1.46 4
2.8%
-1.45 3
2.1%
-1.44 5
3.5%
-1.43 6
4.2%
-1.42 2
 
1.4%
ValueCountFrequency (%)
-1.32 33
22.9%
-1.33 23
16.0%
-1.34 4
 
2.8%
-1.35 1
 
0.7%
-1.36 1
 
0.7%
-1.37 1
 
0.7%
-1.38 1
 
0.7%
-1.39 3
 
2.1%
-1.41 3
 
2.1%
-1.42 2
 
1.4%

2016-08-07
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)22.0%
Missing94
Missing (%)65.3%
Infinite0
Infinite (%)0.0%
Mean-1.5148
Minimum-1.57
Maximum-1.41
Zeros0
Zeros (%)0.0%
Negative50
Negative (%)34.7%
Memory size1.4 KiB
2023-12-11T12:22:30.535168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.57
5-th percentile-1.57
Q1-1.56
median-1.55
Q3-1.47
95-th percentile-1.41
Maximum-1.41
Range0.16
Interquartile range (IQR)0.09

Descriptive statistics

Standard deviation0.060852448
Coefficient of variation (CV)-0.040171935
Kurtosis-0.87995462
Mean-1.5148
Median Absolute Deviation (MAD)0.01
Skewness0.90815832
Sum-75.74
Variance0.0037030204
MonotonicityNot monotonic
2023-12-11T12:22:30.669605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-1.56 16
 
11.1%
-1.41 10
 
6.9%
-1.54 6
 
4.2%
-1.55 5
 
3.5%
-1.57 5
 
3.5%
-1.47 3
 
2.1%
-1.44 1
 
0.7%
-1.48 1
 
0.7%
-1.49 1
 
0.7%
-1.5 1
 
0.7%
(Missing) 94
65.3%
ValueCountFrequency (%)
-1.57 5
 
3.5%
-1.56 16
11.1%
-1.55 5
 
3.5%
-1.54 6
 
4.2%
-1.52 1
 
0.7%
-1.5 1
 
0.7%
-1.49 1
 
0.7%
-1.48 1
 
0.7%
-1.47 3
 
2.1%
-1.44 1
 
0.7%
ValueCountFrequency (%)
-1.41 10
6.9%
-1.44 1
 
0.7%
-1.47 3
 
2.1%
-1.48 1
 
0.7%
-1.49 1
 
0.7%
-1.5 1
 
0.7%
-1.52 1
 
0.7%
-1.54 6
 
4.2%
-1.55 5
 
3.5%
-1.56 16
11.1%

2016-08-08
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)13.3%
Missing39
Missing (%)27.1%
Infinite0
Infinite (%)0.0%
Mean-1.6177143
Minimum-1.68
Maximum-1.53
Zeros0
Zeros (%)0.0%
Negative105
Negative (%)72.9%
Memory size1.4 KiB
2023-12-11T12:22:30.822617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.68
5-th percentile-1.67
Q1-1.66
median-1.65
Q3-1.53
95-th percentile-1.53
Maximum-1.53
Range0.15
Interquartile range (IQR)0.13

Descriptive statistics

Standard deviation0.058969633
Coefficient of variation (CV)-0.03645244
Kurtosis-1.3776677
Mean-1.6177143
Median Absolute Deviation (MAD)0.02
Skewness0.68989911
Sum-169.86
Variance0.0034774176
MonotonicityNot monotonic
2023-12-11T12:22:30.962809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-1.53 28
19.4%
-1.66 27
18.8%
-1.65 20
13.9%
-1.67 13
 
9.0%
-1.68 5
 
3.5%
-1.54 2
 
1.4%
-1.59 2
 
1.4%
-1.64 2
 
1.4%
-1.56 1
 
0.7%
-1.57 1
 
0.7%
Other values (4) 4
 
2.8%
(Missing) 39
27.1%
ValueCountFrequency (%)
-1.68 5
 
3.5%
-1.67 13
9.0%
-1.66 27
18.8%
-1.65 20
13.9%
-1.64 2
 
1.4%
-1.63 1
 
0.7%
-1.61 1
 
0.7%
-1.6 1
 
0.7%
-1.59 2
 
1.4%
-1.58 1
 
0.7%
ValueCountFrequency (%)
-1.53 28
19.4%
-1.54 2
 
1.4%
-1.56 1
 
0.7%
-1.57 1
 
0.7%
-1.58 1
 
0.7%
-1.59 2
 
1.4%
-1.6 1
 
0.7%
-1.61 1
 
0.7%
-1.63 1
 
0.7%
-1.64 2
 
1.4%

2016-08-09
Categorical

Distinct5
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.64
70 
-1.65
35 
<NA>
29 
-1.66
 
6
-1.63
 
4

Length

Max length5
Median length5
Mean length4.7986111
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.65
2nd row-1.66
3rd row-1.65
4th row-1.65
5th row-1.65

Common Values

ValueCountFrequency (%)
-1.64 70
48.6%
-1.65 35
24.3%
<NA> 29
20.1%
-1.66 6
 
4.2%
-1.63 4
 
2.8%

Length

2023-12-11T12:22:31.127882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:31.261228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.64 70
48.6%
1.65 35
24.3%
na 29
20.1%
1.66 6
 
4.2%
1.63 4
 
2.8%

2016-08-10
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.64
78 
-1.63
35 
<NA>
21 
-1.65
10 

Length

Max length5
Median length5
Mean length4.8541667
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.64
2nd row-1.64
3rd row-1.64
4th row-1.64
5th row-1.64

Common Values

ValueCountFrequency (%)
-1.64 78
54.2%
-1.63 35
24.3%
<NA> 21
 
14.6%
-1.65 10
 
6.9%

Length

2023-12-11T12:22:31.446209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:31.607008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.64 78
54.2%
1.63 35
24.3%
na 21
 
14.6%
1.65 10
 
6.9%

2016-08-11
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
62 
-1.62
42 
-1.63
40 

Length

Max length5
Median length5
Mean length4.5694444
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 62
43.1%
-1.62 42
29.2%
-1.63 40
27.8%

Length

2023-12-11T12:22:31.743560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:31.922602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 62
43.1%
1.62 42
29.2%
1.63 40
27.8%

2016-08-12
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
64 
-1.62
36 
-1.61
35 
-1.6

Length

Max length5
Median length4
Mean length4.4930556
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 64
44.4%
-1.62 36
25.0%
-1.61 35
24.3%
-1.6 9
 
6.2%

Length

2023-12-11T12:22:32.059946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:32.208651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 64
44.4%
1.62 36
25.0%
1.61 35
24.3%
1.6 9
 
6.2%

2016-08-13
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
73 
-1.61
28 
-1.59
22 
-1.6
21 

Length

Max length5
Median length4
Mean length4.3472222
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.61
2nd row-1.61
3rd row-1.61
4th row-1.61
5th row-1.61

Common Values

ValueCountFrequency (%)
<NA> 73
50.7%
-1.61 28
 
19.4%
-1.59 22
 
15.3%
-1.6 21
 
14.6%

Length

2023-12-11T12:22:32.370806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:32.515927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 73
50.7%
1.61 28
 
19.4%
1.59 22
 
15.3%
1.6 21
 
14.6%

2016-08-14
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
65 
-1.59
45 
-1.58
34 

Length

Max length5
Median length5
Mean length4.5486111
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 65
45.1%
-1.59 45
31.2%
-1.58 34
23.6%

Length

2023-12-11T12:22:32.663254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:32.828473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 65
45.1%
1.59 45
31.2%
1.58 34
23.6%

2016-08-15
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.57
63 
-1.58
32 
-1.56
25 
<NA>
24 

Length

Max length5
Median length5
Mean length4.8333333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.57
2nd row-1.57
3rd row-1.57
4th row-1.57
5th row-1.57

Common Values

ValueCountFrequency (%)
-1.57 63
43.8%
-1.58 32
22.2%
-1.56 25
 
17.4%
<NA> 24
 
16.7%

Length

2023-12-11T12:22:32.980949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:33.116572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.57 63
43.8%
1.58 32
22.2%
1.56 25
 
17.4%
na 24
 
16.7%

2016-08-16
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
114 
-1.56
21 
-1.55
 
9

Length

Max length5
Median length4
Mean length4.2083333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.56
2nd row-1.56
3rd row-1.56
4th row-1.56
5th row-1.56

Common Values

ValueCountFrequency (%)
<NA> 114
79.2%
-1.56 21
 
14.6%
-1.55 9
 
6.2%

Length

2023-12-11T12:22:33.280635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:33.409497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 114
79.2%
1.56 21
 
14.6%
1.55 9
 
6.2%

2016-08-17
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
95 
-1.54
47 
-1.53
 
2

Length

Max length5
Median length4
Mean length4.3402778
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 95
66.0%
-1.54 47
32.6%
-1.53 2
 
1.4%

Length

2023-12-11T12:22:33.526430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:33.647562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 95
66.0%
1.54 47
32.6%
1.53 2
 
1.4%

2016-08-18
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)26.6%
Missing65
Missing (%)45.1%
Infinite0
Infinite (%)0.0%
Mean-1.5274684
Minimum-1.69
Maximum-1.45
Zeros0
Zeros (%)0.0%
Negative79
Negative (%)54.9%
Memory size1.4 KiB
2023-12-11T12:22:33.772854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.69
5-th percentile-1.67
Q1-1.55
median-1.5
Q3-1.49
95-th percentile-1.479
Maximum-1.45
Range0.24
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.060858566
Coefficient of variation (CV)-0.039842767
Kurtosis0.81991698
Mean-1.5274684
Median Absolute Deviation (MAD)0.02
Skewness-1.3905606
Sum-120.67
Variance0.003703765
MonotonicityNot monotonic
2023-12-11T12:22:33.902388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
-1.49 28
19.4%
-1.52 9
 
6.2%
-1.48 6
 
4.2%
-1.51 5
 
3.5%
-1.5 4
 
2.8%
-1.55 3
 
2.1%
-1.53 2
 
1.4%
-1.46 2
 
1.4%
-1.68 2
 
1.4%
-1.67 2
 
1.4%
Other values (11) 16
 
11.1%
(Missing) 65
45.1%
ValueCountFrequency (%)
-1.69 1
0.7%
-1.68 2
1.4%
-1.67 2
1.4%
-1.66 1
0.7%
-1.65 2
1.4%
-1.63 2
1.4%
-1.61 2
1.4%
-1.59 2
1.4%
-1.58 1
0.7%
-1.57 2
1.4%
ValueCountFrequency (%)
-1.45 1
 
0.7%
-1.46 2
 
1.4%
-1.47 1
 
0.7%
-1.48 6
 
4.2%
-1.49 28
19.4%
-1.5 4
 
2.8%
-1.51 5
 
3.5%
-1.52 9
 
6.2%
-1.53 2
 
1.4%
-1.55 3
 
2.1%

2016-08-19
Real number (ℝ)

Distinct30
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.4651389
Minimum-1.7
Maximum-1.37
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:34.020407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.7
5-th percentile-1.65
Q1-1.48
median-1.47
Q3-1.4
95-th percentile-1.39
Maximum-1.37
Range0.33
Interquartile range (IQR)0.08

Descriptive statistics

Standard deviation0.07900594
Coefficient of variation (CV)-0.053923857
Kurtosis1.4094481
Mean-1.4651389
Median Absolute Deviation (MAD)0.07
Skewness-1.3661227
Sum-210.98
Variance0.0062419386
MonotonicityNot monotonic
2023-12-11T12:22:34.145724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
-1.4 42
29.2%
-1.47 26
18.1%
-1.48 22
15.3%
-1.39 6
 
4.2%
-1.41 6
 
4.2%
-1.49 5
 
3.5%
-1.38 3
 
2.1%
-1.68 3
 
2.1%
-1.42 2
 
1.4%
-1.62 2
 
1.4%
Other values (20) 27
18.8%
ValueCountFrequency (%)
-1.7 1
 
0.7%
-1.69 2
1.4%
-1.68 3
2.1%
-1.67 1
 
0.7%
-1.65 2
1.4%
-1.64 1
 
0.7%
-1.63 1
 
0.7%
-1.62 2
1.4%
-1.6 1
 
0.7%
-1.59 1
 
0.7%
ValueCountFrequency (%)
-1.37 2
 
1.4%
-1.38 3
 
2.1%
-1.39 6
 
4.2%
-1.4 42
29.2%
-1.41 6
 
4.2%
-1.42 2
 
1.4%
-1.43 2
 
1.4%
-1.45 1
 
0.7%
-1.46 2
 
1.4%
-1.47 26
18.1%

2016-08-20
Real number (ℝ)

Distinct23
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5009722
Minimum-1.67
Maximum-1.38
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:34.278978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.67
5-th percentile-1.6285
Q1-1.57
median-1.56
Q3-1.39
95-th percentile-1.38
Maximum-1.38
Range0.29
Interquartile range (IQR)0.18

Descriptive statistics

Standard deviation0.09592625
Coefficient of variation (CV)-0.06390941
Kurtosis-1.659641
Mean-1.5009722
Median Absolute Deviation (MAD)0.055
Skewness0.15441186
Sum-216.14
Variance0.0092018454
MonotonicityNot monotonic
2023-12-11T12:22:34.406857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
-1.57 38
26.4%
-1.38 21
14.6%
-1.39 19
13.2%
-1.4 16
11.1%
-1.58 9
 
6.2%
-1.59 8
 
5.6%
-1.56 5
 
3.5%
-1.55 4
 
2.8%
-1.6 3
 
2.1%
-1.61 3
 
2.1%
Other values (13) 18
12.5%
ValueCountFrequency (%)
-1.67 3
 
2.1%
-1.66 1
 
0.7%
-1.64 3
 
2.1%
-1.63 1
 
0.7%
-1.62 1
 
0.7%
-1.61 3
 
2.1%
-1.6 3
 
2.1%
-1.59 8
 
5.6%
-1.58 9
 
6.2%
-1.57 38
26.4%
ValueCountFrequency (%)
-1.38 21
14.6%
-1.39 19
13.2%
-1.4 16
11.1%
-1.43 1
 
0.7%
-1.44 2
 
1.4%
-1.45 1
 
0.7%
-1.47 1
 
0.7%
-1.48 1
 
0.7%
-1.5 1
 
0.7%
-1.53 1
 
0.7%

2016-08-21
Real number (ℝ)

MISSING 

Distinct23
Distinct (%)16.3%
Missing3
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean-1.5665248
Minimum-1.79
Maximum-1.5
Zeros0
Zeros (%)0.0%
Negative141
Negative (%)97.9%
Memory size1.4 KiB
2023-12-11T12:22:34.540914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.79
5-th percentile-1.72
Q1-1.57
median-1.55
Q3-1.53
95-th percentile-1.52
Maximum-1.5
Range0.29
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.062495552
Coefficient of variation (CV)-0.03989439
Kurtosis5.3438369
Mean-1.5665248
Median Absolute Deviation (MAD)0.02
Skewness-2.382164
Sum-220.88
Variance0.003905694
MonotonicityNot monotonic
2023-12-11T12:22:34.709873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
-1.53 28
19.4%
-1.55 27
18.8%
-1.56 23
16.0%
-1.52 17
11.8%
-1.57 12
8.3%
-1.54 7
 
4.9%
-1.79 4
 
2.8%
-1.62 3
 
2.1%
-1.58 3
 
2.1%
-1.69 2
 
1.4%
Other values (13) 15
10.4%
(Missing) 3
 
2.1%
ValueCountFrequency (%)
-1.79 4
2.8%
-1.78 2
1.4%
-1.75 1
 
0.7%
-1.72 1
 
0.7%
-1.71 1
 
0.7%
-1.69 2
1.4%
-1.67 1
 
0.7%
-1.66 1
 
0.7%
-1.65 1
 
0.7%
-1.64 1
 
0.7%
ValueCountFrequency (%)
-1.5 2
 
1.4%
-1.51 1
 
0.7%
-1.52 17
11.8%
-1.53 28
19.4%
-1.54 7
 
4.9%
-1.55 27
18.8%
-1.56 23
16.0%
-1.57 12
8.3%
-1.58 3
 
2.1%
-1.6 1
 
0.7%

2016-08-22
Real number (ℝ)

Distinct30
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5469444
Minimum-1.82
Maximum-1.47
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:34.884927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.82
5-th percentile-1.7685
Q1-1.53
median-1.52
Q3-1.5
95-th percentile-1.49
Maximum-1.47
Range0.35
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.085356331
Coefficient of variation (CV)-0.055177373
Kurtosis2.7946161
Mean-1.5469444
Median Absolute Deviation (MAD)0.02
Skewness-1.9891756
Sum-222.76
Variance0.0072857032
MonotonicityNot monotonic
2023-12-11T12:22:35.032477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
-1.52 35
24.3%
-1.51 23
16.0%
-1.49 23
16.0%
-1.5 13
 
9.0%
-1.53 12
 
8.3%
-1.48 4
 
2.8%
-1.81 3
 
2.1%
-1.68 2
 
1.4%
-1.47 2
 
1.4%
-1.78 2
 
1.4%
Other values (20) 25
17.4%
ValueCountFrequency (%)
-1.82 1
 
0.7%
-1.81 3
2.1%
-1.79 1
 
0.7%
-1.78 2
1.4%
-1.77 1
 
0.7%
-1.76 1
 
0.7%
-1.75 1
 
0.7%
-1.74 2
1.4%
-1.72 2
1.4%
-1.7 1
 
0.7%
ValueCountFrequency (%)
-1.47 2
 
1.4%
-1.48 4
 
2.8%
-1.49 23
16.0%
-1.5 13
 
9.0%
-1.51 23
16.0%
-1.52 35
24.3%
-1.53 12
 
8.3%
-1.54 2
 
1.4%
-1.56 2
 
1.4%
-1.57 2
 
1.4%

2016-08-23
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)17.0%
Missing3
Missing (%)2.1%
Infinite0
Infinite (%)0.0%
Mean-1.532766
Minimum-1.78
Maximum-1.48
Zeros0
Zeros (%)0.0%
Negative141
Negative (%)97.9%
Memory size1.4 KiB
2023-12-11T12:22:35.169834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.78
5-th percentile-1.74
Q1-1.53
median-1.51
Q3-1.49
95-th percentile-1.48
Maximum-1.48
Range0.3
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.075707203
Coefficient of variation (CV)-0.049392539
Kurtosis3.6587585
Mean-1.532766
Median Absolute Deviation (MAD)0.02
Skewness-2.1651911
Sum-216.12
Variance0.0057315805
MonotonicityNot monotonic
2023-12-11T12:22:35.338006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
-1.49 54
37.5%
-1.52 27
18.8%
-1.48 12
 
8.3%
-1.51 11
 
7.6%
-1.53 6
 
4.2%
-1.57 3
 
2.1%
-1.78 3
 
2.1%
-1.54 3
 
2.1%
-1.55 3
 
2.1%
-1.7 2
 
1.4%
Other values (14) 17
 
11.8%
(Missing) 3
 
2.1%
ValueCountFrequency (%)
-1.78 3
2.1%
-1.77 1
 
0.7%
-1.76 1
 
0.7%
-1.75 2
1.4%
-1.74 1
 
0.7%
-1.73 1
 
0.7%
-1.71 2
1.4%
-1.7 2
1.4%
-1.68 1
 
0.7%
-1.66 1
 
0.7%
ValueCountFrequency (%)
-1.48 12
 
8.3%
-1.49 54
37.5%
-1.5 1
 
0.7%
-1.51 11
 
7.6%
-1.52 27
18.8%
-1.53 6
 
4.2%
-1.54 3
 
2.1%
-1.55 3
 
2.1%
-1.56 1
 
0.7%
-1.57 3
 
2.1%

2016-08-24
Real number (ℝ)

MISSING 

Distinct24
Distinct (%)21.8%
Missing34
Missing (%)23.6%
Infinite0
Infinite (%)0.0%
Mean-1.5955455
Minimum-1.76
Maximum-1.5
Zeros0
Zeros (%)0.0%
Negative110
Negative (%)76.4%
Memory size1.4 KiB
2023-12-11T12:22:35.496186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.76
5-th percentile-1.7355
Q1-1.63
median-1.61
Q3-1.52
95-th percentile-1.51
Maximum-1.5
Range0.26
Interquartile range (IQR)0.11

Descriptive statistics

Standard deviation0.071518091
Coefficient of variation (CV)-0.0448236
Kurtosis-0.5094399
Mean-1.5955455
Median Absolute Deviation (MAD)0.05
Skewness-0.41078316
Sum-175.51
Variance0.0051148374
MonotonicityNot monotonic
2023-12-11T12:22:35.651293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
-1.51 20
13.9%
-1.62 19
13.2%
-1.52 15
10.4%
-1.61 12
 
8.3%
-1.64 7
 
4.9%
-1.6 6
 
4.2%
-1.63 5
 
3.5%
-1.7 3
 
2.1%
-1.76 3
 
2.1%
-1.65 2
 
1.4%
Other values (14) 18
12.5%
(Missing) 34
23.6%
ValueCountFrequency (%)
-1.76 3
2.1%
-1.75 2
1.4%
-1.74 1
 
0.7%
-1.73 1
 
0.7%
-1.72 2
1.4%
-1.7 3
2.1%
-1.69 2
1.4%
-1.67 1
 
0.7%
-1.66 1
 
0.7%
-1.65 2
1.4%
ValueCountFrequency (%)
-1.5 2
 
1.4%
-1.51 20
13.9%
-1.52 15
10.4%
-1.53 1
 
0.7%
-1.55 1
 
0.7%
-1.56 1
 
0.7%
-1.57 1
 
0.7%
-1.58 1
 
0.7%
-1.59 1
 
0.7%
-1.6 6
 
4.2%

2016-08-25
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)12.3%
Missing30
Missing (%)20.8%
Infinite0
Infinite (%)0.0%
Mean-1.6407018
Minimum-1.75
Maximum-1.6
Zeros0
Zeros (%)0.0%
Negative114
Negative (%)79.2%
Memory size1.4 KiB
2023-12-11T12:22:35.793033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.75
5-th percentile-1.74
Q1-1.6875
median-1.61
Q3-1.61
95-th percentile-1.6
Maximum-1.6
Range0.15
Interquartile range (IQR)0.0775

Descriptive statistics

Standard deviation0.053970154
Coefficient of variation (CV)-0.032894555
Kurtosis-0.78565622
Mean-1.6407018
Median Absolute Deviation (MAD)0.01
Skewness-1.0357964
Sum-187.04
Variance0.0029127775
MonotonicityNot monotonic
2023-12-11T12:22:35.949077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-1.61 51
35.4%
-1.6 27
18.8%
-1.73 15
 
10.4%
-1.74 7
 
4.9%
-1.72 4
 
2.8%
-1.65 2
 
1.4%
-1.62 1
 
0.7%
-1.64 1
 
0.7%
-1.66 1
 
0.7%
-1.67 1
 
0.7%
Other values (4) 4
 
2.8%
(Missing) 30
20.8%
ValueCountFrequency (%)
-1.75 1
 
0.7%
-1.74 7
4.9%
-1.73 15
10.4%
-1.72 4
 
2.8%
-1.71 1
 
0.7%
-1.69 1
 
0.7%
-1.68 1
 
0.7%
-1.67 1
 
0.7%
-1.66 1
 
0.7%
-1.65 2
 
1.4%
ValueCountFrequency (%)
-1.6 27
18.8%
-1.61 51
35.4%
-1.62 1
 
0.7%
-1.64 1
 
0.7%
-1.65 2
 
1.4%
-1.66 1
 
0.7%
-1.67 1
 
0.7%
-1.68 1
 
0.7%
-1.69 1
 
0.7%
-1.71 1
 
0.7%

2016-08-26
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
114 
-1.69
23 
-1.7
 
7

Length

Max length5
Median length4
Mean length4.1597222
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 114
79.2%
-1.69 23
 
16.0%
-1.7 7
 
4.9%

Length

2023-12-11T12:22:36.126413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:36.256729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 114
79.2%
1.69 23
 
16.0%
1.7 7
 
4.9%

2016-08-27
Real number (ℝ)

MISSING 

Distinct17
Distinct (%)12.0%
Missing2
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean-1.6467606
Minimum-1.7
Maximum-1.44
Zeros0
Zeros (%)0.0%
Negative142
Negative (%)98.6%
Memory size1.4 KiB
2023-12-11T12:22:36.457921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.7
5-th percentile-1.7
Q1-1.7
median-1.69
Q3-1.68
95-th percentile-1.45
Maximum-1.44
Range0.26
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.089708348
Coefficient of variation (CV)-0.054475647
Kurtosis0.37888383
Mean-1.6467606
Median Absolute Deviation (MAD)0.01
Skewness1.4812957
Sum-233.84
Variance0.0080475877
MonotonicityNot monotonic
2023-12-11T12:22:36.647695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
-1.7 50
34.7%
-1.69 49
34.0%
-1.68 10
 
6.9%
-1.45 7
 
4.9%
-1.46 6
 
4.2%
-1.48 4
 
2.8%
-1.47 3
 
2.1%
-1.44 2
 
1.4%
-1.49 2
 
1.4%
-1.53 2
 
1.4%
Other values (7) 7
 
4.9%
(Missing) 2
 
1.4%
ValueCountFrequency (%)
-1.7 50
34.7%
-1.69 49
34.0%
-1.68 10
 
6.9%
-1.66 1
 
0.7%
-1.61 1
 
0.7%
-1.59 1
 
0.7%
-1.58 1
 
0.7%
-1.57 1
 
0.7%
-1.55 1
 
0.7%
-1.53 2
 
1.4%
ValueCountFrequency (%)
-1.44 2
 
1.4%
-1.45 7
4.9%
-1.46 6
4.2%
-1.47 3
2.1%
-1.48 4
2.8%
-1.49 2
 
1.4%
-1.51 1
 
0.7%
-1.53 2
 
1.4%
-1.55 1
 
0.7%
-1.57 1
 
0.7%

2016-08-28
Categorical

Distinct5
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.45
92 
-1.46
27 
-1.44
21 
-1.43
 
2
-1.47
 
2

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.45
2nd row-1.45
3rd row-1.46
4th row-1.46
5th row-1.46

Common Values

ValueCountFrequency (%)
-1.45 92
63.9%
-1.46 27
 
18.8%
-1.44 21
 
14.6%
-1.43 2
 
1.4%
-1.47 2
 
1.4%

Length

2023-12-11T12:22:36.809480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:36.944313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.45 92
63.9%
1.46 27
 
18.8%
1.44 21
 
14.6%
1.43 2
 
1.4%
1.47 2
 
1.4%

2016-08-29
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.45
72 
-1.44
46 
-1.46
21 
-1.47
 
5

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.44
2nd row-1.44
3rd row-1.44
4th row-1.45
5th row-1.45

Common Values

ValueCountFrequency (%)
-1.45 72
50.0%
-1.44 46
31.9%
-1.46 21
 
14.6%
-1.47 5
 
3.5%

Length

2023-12-11T12:22:37.083459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:37.243320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.45 72
50.0%
1.44 46
31.9%
1.46 21
 
14.6%
1.47 5
 
3.5%

2016-08-30
Real number (ℝ)

Distinct8
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.4702778
Minimum-1.51
Maximum-1.44
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:37.381871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.51
5-th percentile-1.5
Q1-1.49
median-1.47
Q3-1.45
95-th percentile-1.4415
Maximum-1.44
Range0.07
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.017815859
Coefficient of variation (CV)-0.012117342
Kurtosis-1.1141247
Mean-1.4702778
Median Absolute Deviation (MAD)0.02
Skewness-0.025297923
Sum-211.72
Variance0.00031740482
MonotonicityNot monotonic
2023-12-11T12:22:37.548213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
-1.47 36
25.0%
-1.45 35
24.3%
-1.49 30
20.8%
-1.48 16
11.1%
-1.46 9
 
6.2%
-1.5 9
 
6.2%
-1.44 8
 
5.6%
-1.51 1
 
0.7%
ValueCountFrequency (%)
-1.51 1
 
0.7%
-1.5 9
 
6.2%
-1.49 30
20.8%
-1.48 16
11.1%
-1.47 36
25.0%
-1.46 9
 
6.2%
-1.45 35
24.3%
-1.44 8
 
5.6%
ValueCountFrequency (%)
-1.44 8
 
5.6%
-1.45 35
24.3%
-1.46 9
 
6.2%
-1.47 36
25.0%
-1.48 16
11.1%
-1.49 30
20.8%
-1.5 9
 
6.2%
-1.51 1
 
0.7%

2016-08-31
Real number (ℝ)

MISSING 

Distinct11
Distinct (%)19.6%
Missing88
Missing (%)61.1%
Infinite0
Infinite (%)0.0%
Mean-1.5073214
Minimum-1.57
Maximum-1.47
Zeros0
Zeros (%)0.0%
Negative56
Negative (%)38.9%
Memory size1.4 KiB
2023-12-11T12:22:37.691674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.57
5-th percentile-1.57
Q1-1.52
median-1.5
Q3-1.49
95-th percentile-1.4775
Maximum-1.47
Range0.1
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.027927899
Coefficient of variation (CV)-0.018528164
Kurtosis-0.036047215
Mean-1.5073214
Median Absolute Deviation (MAD)0.015
Skewness-0.9407279
Sum-84.41
Variance0.00077996753
MonotonicityNot monotonic
2023-12-11T12:22:37.822317image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
-1.49 13
 
9.0%
-1.5 10
 
6.9%
-1.48 8
 
5.6%
-1.51 5
 
3.5%
-1.52 4
 
2.8%
-1.57 4
 
2.8%
-1.47 3
 
2.1%
-1.53 3
 
2.1%
-1.55 3
 
2.1%
-1.54 2
 
1.4%
(Missing) 88
61.1%
ValueCountFrequency (%)
-1.57 4
 
2.8%
-1.56 1
 
0.7%
-1.55 3
 
2.1%
-1.54 2
 
1.4%
-1.53 3
 
2.1%
-1.52 4
 
2.8%
-1.51 5
 
3.5%
-1.5 10
6.9%
-1.49 13
9.0%
-1.48 8
5.6%
ValueCountFrequency (%)
-1.47 3
 
2.1%
-1.48 8
5.6%
-1.49 13
9.0%
-1.5 10
6.9%
-1.51 5
 
3.5%
-1.52 4
 
2.8%
-1.53 3
 
2.1%
-1.54 2
 
1.4%
-1.55 3
 
2.1%
-1.56 1
 
0.7%

2016-09-01
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing144
Missing (%)100.0%
Memory size1.4 KiB

2016-09-02
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)20.2%
Missing55
Missing (%)38.2%
Infinite0
Infinite (%)0.0%
Mean-1.5439326
Minimum-1.69
Maximum-1.5
Zeros0
Zeros (%)0.0%
Negative89
Negative (%)61.8%
Memory size1.4 KiB
2023-12-11T12:22:37.967308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.69
5-th percentile-1.652
Q1-1.54
median-1.53
Q3-1.52
95-th percentile-1.51
Maximum-1.5
Range0.19
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.0434746
Coefficient of variation (CV)-0.028158354
Kurtosis3.3231779
Mean-1.5439326
Median Absolute Deviation (MAD)0.01
Skewness-2.0303636
Sum-137.41
Variance0.0018900409
MonotonicityNot monotonic
2023-12-11T12:22:38.126544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-1.53 40
27.8%
-1.52 14
 
9.7%
-1.51 9
 
6.2%
-1.54 4
 
2.8%
-1.5 3
 
2.1%
-1.55 3
 
2.1%
-1.63 2
 
1.4%
-1.68 2
 
1.4%
-1.61 2
 
1.4%
-1.57 2
 
1.4%
Other values (8) 8
 
5.6%
(Missing) 55
38.2%
ValueCountFrequency (%)
-1.69 1
0.7%
-1.68 2
1.4%
-1.67 1
0.7%
-1.66 1
0.7%
-1.64 1
0.7%
-1.63 2
1.4%
-1.62 1
0.7%
-1.61 2
1.4%
-1.6 1
0.7%
-1.59 1
0.7%
ValueCountFrequency (%)
-1.5 3
 
2.1%
-1.51 9
 
6.2%
-1.52 14
 
9.7%
-1.53 40
27.8%
-1.54 4
 
2.8%
-1.55 3
 
2.1%
-1.57 2
 
1.4%
-1.58 1
 
0.7%
-1.59 1
 
0.7%
-1.6 1
 
0.7%

2016-09-03
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)22.8%
Missing52
Missing (%)36.1%
Infinite0
Infinite (%)0.0%
Mean-1.5634783
Minimum-1.76
Maximum-1.51
Zeros0
Zeros (%)0.0%
Negative92
Negative (%)63.9%
Memory size1.4 KiB
2023-12-11T12:22:38.655144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.76
5-th percentile-1.74
Q1-1.58
median-1.52
Q3-1.52
95-th percentile-1.52
Maximum-1.51
Range0.25
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.072860469
Coefficient of variation (CV)-0.046601523
Kurtosis1.098455
Mean-1.5634783
Median Absolute Deviation (MAD)0.01
Skewness-1.582133
Sum-143.84
Variance0.0053086479
MonotonicityNot monotonic
2023-12-11T12:22:38.845780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
-1.52 44
30.6%
-1.53 14
 
9.7%
-1.54 4
 
2.8%
-1.51 3
 
2.1%
-1.75 3
 
2.1%
-1.69 2
 
1.4%
-1.74 2
 
1.4%
-1.71 2
 
1.4%
-1.57 2
 
1.4%
-1.68 2
 
1.4%
Other values (11) 14
 
9.7%
(Missing) 52
36.1%
ValueCountFrequency (%)
-1.76 1
 
0.7%
-1.75 3
2.1%
-1.74 2
1.4%
-1.73 1
 
0.7%
-1.71 2
1.4%
-1.69 2
1.4%
-1.68 2
1.4%
-1.66 2
1.4%
-1.64 1
 
0.7%
-1.63 1
 
0.7%
ValueCountFrequency (%)
-1.51 3
 
2.1%
-1.52 44
30.6%
-1.53 14
 
9.7%
-1.54 4
 
2.8%
-1.56 1
 
0.7%
-1.57 2
 
1.4%
-1.58 2
 
1.4%
-1.59 1
 
0.7%
-1.6 2
 
1.4%
-1.61 1
 
0.7%

2016-09-04
Real number (ℝ)

MISSING 

Distinct16
Distinct (%)21.1%
Missing68
Missing (%)47.2%
Infinite0
Infinite (%)0.0%
Mean-1.5290789
Minimum-1.7
Maximum-1.49
Zeros0
Zeros (%)0.0%
Negative76
Negative (%)52.8%
Memory size1.4 KiB
2023-12-11T12:22:39.020623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.7
5-th percentile-1.635
Q1-1.5225
median-1.51
Q3-1.51
95-th percentile-1.5
Maximum-1.49
Range0.21
Interquartile range (IQR)0.0125

Descriptive statistics

Standard deviation0.044427548
Coefficient of variation (CV)-0.029055104
Kurtosis5.5684001
Mean-1.5290789
Median Absolute Deviation (MAD)0.01
Skewness-2.4285819
Sum-116.21
Variance0.001973807
MonotonicityNot monotonic
2023-12-11T12:22:39.187041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.51 32
22.2%
-1.52 12
 
8.3%
-1.5 11
 
7.6%
-1.53 5
 
3.5%
-1.58 3
 
2.1%
-1.59 2
 
1.4%
-1.49 2
 
1.4%
-1.61 1
 
0.7%
-1.63 1
 
0.7%
-1.65 1
 
0.7%
Other values (6) 6
 
4.2%
(Missing) 68
47.2%
ValueCountFrequency (%)
-1.7 1
 
0.7%
-1.69 1
 
0.7%
-1.67 1
 
0.7%
-1.65 1
 
0.7%
-1.63 1
 
0.7%
-1.61 1
 
0.7%
-1.59 2
1.4%
-1.58 3
2.1%
-1.56 1
 
0.7%
-1.55 1
 
0.7%
ValueCountFrequency (%)
-1.49 2
 
1.4%
-1.5 11
 
7.6%
-1.51 32
22.2%
-1.52 12
 
8.3%
-1.53 5
 
3.5%
-1.54 1
 
0.7%
-1.55 1
 
0.7%
-1.56 1
 
0.7%
-1.58 3
 
2.1%
-1.59 2
 
1.4%

2016-09-05
Real number (ℝ)

Distinct20
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5264583
Minimum-1.72
Maximum-1.48
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:39.345697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.72
5-th percentile-1.66
Q1-1.51
median-1.51
Q3-1.5
95-th percentile-1.5
Maximum-1.48
Range0.24
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.052523305
Coefficient of variation (CV)-0.034408607
Kurtosis5.0002117
Mean-1.5264583
Median Absolute Deviation (MAD)0.01
Skewness-2.4226742
Sum-219.81
Variance0.0027586976
MonotonicityNot monotonic
2023-12-11T12:22:39.495677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
-1.5 59
41.0%
-1.51 47
32.6%
-1.53 5
 
3.5%
-1.52 4
 
2.8%
-1.54 3
 
2.1%
-1.57 3
 
2.1%
-1.49 3
 
2.1%
-1.58 2
 
1.4%
-1.6 2
 
1.4%
-1.64 2
 
1.4%
Other values (10) 14
 
9.7%
ValueCountFrequency (%)
-1.72 2
1.4%
-1.71 2
1.4%
-1.69 2
1.4%
-1.68 1
0.7%
-1.66 2
1.4%
-1.64 2
1.4%
-1.63 1
0.7%
-1.62 1
0.7%
-1.61 1
0.7%
-1.6 2
1.4%
ValueCountFrequency (%)
-1.48 1
 
0.7%
-1.49 3
 
2.1%
-1.5 59
41.0%
-1.51 47
32.6%
-1.52 4
 
2.8%
-1.53 5
 
3.5%
-1.54 3
 
2.1%
-1.57 3
 
2.1%
-1.58 2
 
1.4%
-1.59 1
 
0.7%

2016-09-06
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)16.5%
Missing35
Missing (%)24.3%
Infinite0
Infinite (%)0.0%
Mean-1.5226606
Minimum-1.69
Maximum-1.49
Zeros0
Zeros (%)0.0%
Negative109
Negative (%)75.7%
Memory size1.4 KiB
2023-12-11T12:22:39.659441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.69
5-th percentile-1.646
Q1-1.51
median-1.5
Q3-1.5
95-th percentile-1.49
Maximum-1.49
Range0.2
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.050104376
Coefficient of variation (CV)-0.032905808
Kurtosis3.2441947
Mean-1.5226606
Median Absolute Deviation (MAD)0.01
Skewness-2.0673373
Sum-165.97
Variance0.0025104485
MonotonicityNot monotonic
2023-12-11T12:22:39.832168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-1.5 42
29.2%
-1.49 23
16.0%
-1.51 18
12.5%
-1.52 4
 
2.8%
-1.62 3
 
2.1%
-1.55 2
 
1.4%
-1.56 2
 
1.4%
-1.57 2
 
1.4%
-1.6 2
 
1.4%
-1.64 2
 
1.4%
Other values (8) 9
 
6.2%
(Missing) 35
24.3%
ValueCountFrequency (%)
-1.69 2
1.4%
-1.68 1
 
0.7%
-1.67 1
 
0.7%
-1.66 1
 
0.7%
-1.65 1
 
0.7%
-1.64 2
1.4%
-1.62 3
2.1%
-1.6 2
1.4%
-1.59 1
 
0.7%
-1.58 1
 
0.7%
ValueCountFrequency (%)
-1.49 23
16.0%
-1.5 42
29.2%
-1.51 18
12.5%
-1.52 4
 
2.8%
-1.53 1
 
0.7%
-1.55 2
 
1.4%
-1.56 2
 
1.4%
-1.57 2
 
1.4%
-1.58 1
 
0.7%
-1.59 1
 
0.7%

2016-09-07
Real number (ℝ)

MISSING 

Distinct8
Distinct (%)11.4%
Missing74
Missing (%)51.4%
Infinite0
Infinite (%)0.0%
Mean-1.6022857
Minimum-1.62
Maximum-1.53
Zeros0
Zeros (%)0.0%
Negative70
Negative (%)48.6%
Memory size1.4 KiB
2023-12-11T12:22:40.003704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.62
5-th percentile-1.62
Q1-1.61
median-1.61
Q3-1.6
95-th percentile-1.549
Maximum-1.53
Range0.09
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.019867053
Coefficient of variation (CV)-0.012399195
Kurtosis7.2342898
Mean-1.6022857
Median Absolute Deviation (MAD)0.005
Skewness2.7122699
Sum-112.16
Variance0.00039469979
MonotonicityNot monotonic
2023-12-11T12:22:40.128171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
-1.61 35
24.3%
-1.6 20
 
13.9%
-1.62 8
 
5.6%
-1.53 3
 
2.1%
-1.54 1
 
0.7%
-1.56 1
 
0.7%
-1.57 1
 
0.7%
-1.59 1
 
0.7%
(Missing) 74
51.4%
ValueCountFrequency (%)
-1.62 8
 
5.6%
-1.61 35
24.3%
-1.6 20
13.9%
-1.59 1
 
0.7%
-1.57 1
 
0.7%
-1.56 1
 
0.7%
-1.54 1
 
0.7%
-1.53 3
 
2.1%
ValueCountFrequency (%)
-1.53 3
 
2.1%
-1.54 1
 
0.7%
-1.56 1
 
0.7%
-1.57 1
 
0.7%
-1.59 1
 
0.7%
-1.6 20
13.9%
-1.61 35
24.3%
-1.62 8
 
5.6%

2016-09-08
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.6
76 
-1.59
50 
<NA>
15 
-1.58
 
3

Length

Max length5
Median length4
Mean length4.3680556
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.6
2nd row-1.6
3rd row-1.6
4th row-1.6
5th row-1.6

Common Values

ValueCountFrequency (%)
-1.6 76
52.8%
-1.59 50
34.7%
<NA> 15
 
10.4%
-1.58 3
 
2.1%

Length

2023-12-11T12:22:40.273978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:40.421464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.6 76
52.8%
1.59 50
34.7%
na 15
 
10.4%
1.58 3
 
2.1%

2016-09-09
Categorical

Distinct5
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
58 
-1.58
55 
-1.57
18 
-1.56
-1.59
 
5

Length

Max length5
Median length5
Mean length4.5972222
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 58
40.3%
-1.58 55
38.2%
-1.57 18
 
12.5%
-1.56 8
 
5.6%
-1.59 5
 
3.5%

Length

2023-12-11T12:22:40.578801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:40.732451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 58
40.3%
1.58 55
38.2%
1.57 18
 
12.5%
1.56 8
 
5.6%
1.59 5
 
3.5%

2016-09-10
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.55
89 
-1.56
41 
-1.54
14 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.56
2nd row-1.56
3rd row-1.56
4th row-1.56
5th row-1.56

Common Values

ValueCountFrequency (%)
-1.55 89
61.8%
-1.56 41
28.5%
-1.54 14
 
9.7%

Length

2023-12-11T12:22:40.896739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:41.038556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.55 89
61.8%
1.56 41
28.5%
1.54 14
 
9.7%

2016-09-11
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.54
72 
-1.53
59 
-1.52
12 
-1.55
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row-1.54
2nd row-1.54
3rd row-1.54
4th row-1.54
5th row-1.54

Common Values

ValueCountFrequency (%)
-1.54 72
50.0%
-1.53 59
41.0%
-1.52 12
 
8.3%
-1.55 1
 
0.7%

Length

2023-12-11T12:22:41.177390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:41.314956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.54 72
50.0%
1.53 59
41.0%
1.52 12
 
8.3%
1.55 1
 
0.7%

2016-09-12
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.51
71 
-1.52
60 
-1.5
11 
-1.53
 
2

Length

Max length5
Median length5
Mean length4.9236111
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.52
2nd row-1.52
3rd row-1.52
4th row-1.52
5th row-1.52

Common Values

ValueCountFrequency (%)
-1.51 71
49.3%
-1.52 60
41.7%
-1.5 11
 
7.6%
-1.53 2
 
1.4%

Length

2023-12-11T12:22:41.446027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:41.590163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.51 71
49.3%
1.52 60
41.7%
1.5 11
 
7.6%
1.53 2
 
1.4%

2016-09-13
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.49
74 
-1.5
62 
-1.48
 
6
-1.51
 
2

Length

Max length5
Median length5
Mean length4.5694444
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.5
2nd row-1.5
3rd row-1.5
4th row-1.5
5th row-1.5

Common Values

ValueCountFrequency (%)
-1.49 74
51.4%
-1.5 62
43.1%
-1.48 6
 
4.2%
-1.51 2
 
1.4%

Length

2023-12-11T12:22:41.746654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:41.884413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.49 74
51.4%
1.5 62
43.1%
1.48 6
 
4.2%
1.51 2
 
1.4%

2016-09-14
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.48
92 
-1.49
43 
-1.47
 
9

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.48
2nd row-1.48
3rd row-1.48
4th row-1.48
5th row-1.48

Common Values

ValueCountFrequency (%)
-1.48 92
63.9%
-1.49 43
29.9%
-1.47 9
 
6.2%

Length

2023-12-11T12:22:42.067580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:42.221229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.48 92
63.9%
1.49 43
29.9%
1.47 9
 
6.2%

2016-09-15
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.47
96 
-1.46
48 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.47
2nd row-1.47
3rd row-1.47
4th row-1.47
5th row-1.47

Common Values

ValueCountFrequency (%)
-1.47 96
66.7%
-1.46 48
33.3%

Length

2023-12-11T12:22:42.356863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:42.507235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.47 96
66.7%
1.46 48
33.3%

2016-09-16
Real number (ℝ)

Distinct6
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.4429167
Minimum-1.46
Maximum-1.41
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:42.628104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.46
5-th percentile-1.46
Q1-1.46
median-1.45
Q3-1.43
95-th percentile-1.42
Maximum-1.41
Range0.05
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.01646675
Coefficient of variation (CV)-0.011412128
Kurtosis-1.3192374
Mean-1.4429167
Median Absolute Deviation (MAD)0.01
Skewness0.37300334
Sum-207.78
Variance0.00027115385
MonotonicityNot monotonic
2023-12-11T12:22:42.759804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-1.46 54
37.5%
-1.43 26
18.1%
-1.42 23
16.0%
-1.45 21
 
14.6%
-1.44 15
 
10.4%
-1.41 5
 
3.5%
ValueCountFrequency (%)
-1.46 54
37.5%
-1.45 21
 
14.6%
-1.44 15
 
10.4%
-1.43 26
18.1%
-1.42 23
16.0%
-1.41 5
 
3.5%
ValueCountFrequency (%)
-1.41 5
 
3.5%
-1.42 23
16.0%
-1.43 26
18.1%
-1.44 15
 
10.4%
-1.45 21
 
14.6%
-1.46 54
37.5%

2016-09-17
Real number (ℝ)

Distinct36
Distinct (%)25.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.3910417
Minimum-1.58
Maximum-1.22
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:42.921951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.58
5-th percentile-1.56
Q1-1.45
median-1.385
Q3-1.33
95-th percentile-1.23
Maximum-1.22
Range0.36
Interquartile range (IQR)0.12

Descriptive statistics

Standard deviation0.09250756
Coefficient of variation (CV)-0.066502364
Kurtosis-0.56751647
Mean-1.3910417
Median Absolute Deviation (MAD)0.065
Skewness-0.11696012
Sum-200.31
Variance0.0085576486
MonotonicityNot monotonic
2023-12-11T12:22:43.149848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
-1.38 12
 
8.3%
-1.39 11
 
7.6%
-1.36 9
 
6.2%
-1.35 7
 
4.9%
-1.4 6
 
4.2%
-1.23 6
 
4.2%
-1.45 6
 
4.2%
-1.57 5
 
3.5%
-1.41 5
 
3.5%
-1.33 5
 
3.5%
Other values (26) 72
50.0%
ValueCountFrequency (%)
-1.58 1
 
0.7%
-1.57 5
3.5%
-1.56 3
2.1%
-1.55 2
 
1.4%
-1.54 1
 
0.7%
-1.53 3
2.1%
-1.51 3
2.1%
-1.5 5
3.5%
-1.49 3
2.1%
-1.48 5
3.5%
ValueCountFrequency (%)
-1.22 4
2.8%
-1.23 6
4.2%
-1.24 2
 
1.4%
-1.25 1
 
0.7%
-1.26 2
 
1.4%
-1.27 1
 
0.7%
-1.28 4
2.8%
-1.29 4
2.8%
-1.3 3
2.1%
-1.31 2
 
1.4%

2016-09-18
Real number (ℝ)

Distinct32
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.4836806
Minimum-1.76
Maximum-1.4
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:43.347944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.76
5-th percentile-1.6885
Q1-1.51
median-1.45
Q3-1.43
95-th percentile-1.42
Maximum-1.4
Range0.36
Interquartile range (IQR)0.08

Descriptive statistics

Standard deviation0.083471418
Coefficient of variation (CV)-0.056259697
Kurtosis2.705742
Mean-1.4836806
Median Absolute Deviation (MAD)0.03
Skewness-1.8142369
Sum-213.65
Variance0.0069674777
MonotonicityNot monotonic
2023-12-11T12:22:43.523497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
-1.43 27
18.8%
-1.42 24
16.7%
-1.44 15
10.4%
-1.49 10
 
6.9%
-1.46 8
 
5.6%
-1.45 7
 
4.9%
-1.52 7
 
4.9%
-1.47 6
 
4.2%
-1.51 5
 
3.5%
-1.53 4
 
2.8%
Other values (22) 31
21.5%
ValueCountFrequency (%)
-1.76 2
1.4%
-1.75 1
0.7%
-1.74 1
0.7%
-1.73 1
0.7%
-1.71 1
0.7%
-1.7 1
0.7%
-1.69 1
0.7%
-1.68 1
0.7%
-1.67 1
0.7%
-1.66 1
0.7%
ValueCountFrequency (%)
-1.4 2
 
1.4%
-1.41 1
 
0.7%
-1.42 24
16.7%
-1.43 27
18.8%
-1.44 15
10.4%
-1.45 7
 
4.9%
-1.46 8
 
5.6%
-1.47 6
 
4.2%
-1.48 3
 
2.1%
-1.49 10
 
6.9%

2016-09-19
Real number (ℝ)

Distinct28
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.479375
Minimum-1.73
Maximum-1.38
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:43.669762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.73
5-th percentile-1.66
Q1-1.51
median-1.49
Q3-1.4
95-th percentile-1.38
Maximum-1.38
Range0.35
Interquartile range (IQR)0.11

Descriptive statistics

Standard deviation0.086154997
Coefficient of variation (CV)-0.05823743
Kurtosis0.63436558
Mean-1.479375
Median Absolute Deviation (MAD)0.075
Skewness-0.96982298
Sum-213.03
Variance0.0074226836
MonotonicityNot monotonic
2023-12-11T12:22:43.814436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
-1.51 27
18.8%
-1.39 18
12.5%
-1.5 15
10.4%
-1.41 12
8.3%
-1.4 11
 
7.6%
-1.38 11
 
7.6%
-1.49 9
 
6.2%
-1.48 6
 
4.2%
-1.42 4
 
2.8%
-1.43 3
 
2.1%
Other values (18) 28
19.4%
ValueCountFrequency (%)
-1.73 1
0.7%
-1.72 2
1.4%
-1.71 1
0.7%
-1.7 1
0.7%
-1.68 2
1.4%
-1.66 2
1.4%
-1.65 1
0.7%
-1.64 1
0.7%
-1.63 2
1.4%
-1.61 2
1.4%
ValueCountFrequency (%)
-1.38 11
7.6%
-1.39 18
12.5%
-1.4 11
7.6%
-1.41 12
8.3%
-1.42 4
 
2.8%
-1.43 3
 
2.1%
-1.45 1
 
0.7%
-1.46 1
 
0.7%
-1.47 1
 
0.7%
-1.48 6
 
4.2%

2016-09-20
Real number (ℝ)

Distinct26
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5413194
Minimum-1.78
Maximum-1.49
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:43.937526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.78
5-th percentile-1.7285
Q1-1.53
median-1.51
Q3-1.5
95-th percentile-1.5
Maximum-1.49
Range0.29
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.073800397
Coefficient of variation (CV)-0.047881312
Kurtosis3.0947811
Mean-1.5413194
Median Absolute Deviation (MAD)0.01
Skewness-2.073633
Sum-221.95
Variance0.0054464986
MonotonicityNot monotonic
2023-12-11T12:22:44.053746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
-1.5 54
37.5%
-1.51 30
20.8%
-1.52 16
 
11.1%
-1.53 6
 
4.2%
-1.54 4
 
2.8%
-1.56 4
 
2.8%
-1.49 3
 
2.1%
-1.78 3
 
2.1%
-1.75 2
 
1.4%
-1.72 2
 
1.4%
Other values (16) 20
 
13.9%
ValueCountFrequency (%)
-1.78 3
2.1%
-1.77 1
 
0.7%
-1.75 2
1.4%
-1.74 1
 
0.7%
-1.73 1
 
0.7%
-1.72 2
1.4%
-1.71 1
 
0.7%
-1.7 2
1.4%
-1.69 1
 
0.7%
-1.68 1
 
0.7%
ValueCountFrequency (%)
-1.49 3
 
2.1%
-1.5 54
37.5%
-1.51 30
20.8%
-1.52 16
 
11.1%
-1.53 6
 
4.2%
-1.54 4
 
2.8%
-1.55 2
 
1.4%
-1.56 4
 
2.8%
-1.57 2
 
1.4%
-1.59 1
 
0.7%

2016-09-21
Real number (ℝ)

Distinct30
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5559028
Minimum-1.81
Maximum-1.5
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:44.178109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.81
5-th percentile-1.7585
Q1-1.55
median-1.53
Q3-1.5
95-th percentile-1.5
Maximum-1.5
Range0.31
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.083443488
Coefficient of variation (CV)-0.053630271
Kurtosis2.2524173
Mean-1.5559028
Median Absolute Deviation (MAD)0.025
Skewness-1.8578397
Sum-224.05
Variance0.0069628157
MonotonicityNot monotonic
2023-12-11T12:22:44.318438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
-1.5 39
27.1%
-1.51 26
18.1%
-1.54 20
13.9%
-1.53 17
11.8%
-1.52 5
 
3.5%
-1.55 4
 
2.8%
-1.81 3
 
2.1%
-1.56 2
 
1.4%
-1.61 2
 
1.4%
-1.58 2
 
1.4%
Other values (20) 24
16.7%
ValueCountFrequency (%)
-1.81 3
2.1%
-1.8 1
 
0.7%
-1.79 1
 
0.7%
-1.78 1
 
0.7%
-1.77 1
 
0.7%
-1.76 1
 
0.7%
-1.75 2
1.4%
-1.74 2
1.4%
-1.73 1
 
0.7%
-1.72 2
1.4%
ValueCountFrequency (%)
-1.5 39
27.1%
-1.51 26
18.1%
-1.52 5
 
3.5%
-1.53 17
11.8%
-1.54 20
13.9%
-1.55 4
 
2.8%
-1.56 2
 
1.4%
-1.57 2
 
1.4%
-1.58 2
 
1.4%
-1.59 1
 
0.7%

2016-09-22
Real number (ℝ)

Distinct25
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5708333
Minimum-1.79
Maximum-1.52
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:44.490798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.79
5-th percentile-1.74
Q1-1.57
median-1.555
Q3-1.52
95-th percentile-1.52
Maximum-1.52
Range0.27
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.069639431
Coefficient of variation (CV)-0.044332794
Kurtosis2.2363574
Mean-1.5708333
Median Absolute Deviation (MAD)0.035
Skewness-1.7741442
Sum-226.2
Variance0.0048496503
MonotonicityNot monotonic
2023-12-11T12:22:44.643163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
-1.52 44
30.6%
-1.53 24
16.7%
-1.56 21
14.6%
-1.57 16
 
11.1%
-1.55 4
 
2.8%
-1.58 4
 
2.8%
-1.59 4
 
2.8%
-1.79 2
 
1.4%
-1.76 2
 
1.4%
-1.74 2
 
1.4%
Other values (15) 21
14.6%
ValueCountFrequency (%)
-1.79 2
1.4%
-1.78 1
0.7%
-1.77 1
0.7%
-1.76 2
1.4%
-1.75 1
0.7%
-1.74 2
1.4%
-1.73 2
1.4%
-1.72 2
1.4%
-1.7 2
1.4%
-1.69 1
0.7%
ValueCountFrequency (%)
-1.52 44
30.6%
-1.53 24
16.7%
-1.55 4
 
2.8%
-1.56 21
14.6%
-1.57 16
 
11.1%
-1.58 4
 
2.8%
-1.59 4
 
2.8%
-1.6 2
 
1.4%
-1.61 1
 
0.7%
-1.62 2
 
1.4%

2016-09-23
Real number (ℝ)

Distinct9
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5863194
Minimum-1.64
Maximum-1.55
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:44.778556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.64
5-th percentile-1.63
Q1-1.62
median-1.56
Q3-1.56
95-th percentile-1.55
Maximum-1.55
Range0.09
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.032056474
Coefficient of variation (CV)-0.020208082
Kurtosis-1.7360589
Mean-1.5863194
Median Absolute Deviation (MAD)0.01
Skewness-0.18960116
Sum-228.43
Variance0.0010276175
MonotonicityNot monotonic
2023-12-11T12:22:44.907334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=9)
ValueCountFrequency (%)
-1.56 46
31.9%
-1.55 27
18.8%
-1.61 26
18.1%
-1.62 21
14.6%
-1.63 15
 
10.4%
-1.64 4
 
2.8%
-1.57 2
 
1.4%
-1.6 2
 
1.4%
-1.59 1
 
0.7%
ValueCountFrequency (%)
-1.64 4
 
2.8%
-1.63 15
 
10.4%
-1.62 21
14.6%
-1.61 26
18.1%
-1.6 2
 
1.4%
-1.59 1
 
0.7%
-1.57 2
 
1.4%
-1.56 46
31.9%
-1.55 27
18.8%
ValueCountFrequency (%)
-1.55 27
18.8%
-1.56 46
31.9%
-1.57 2
 
1.4%
-1.59 1
 
0.7%
-1.6 2
 
1.4%
-1.61 26
18.1%
-1.62 21
14.6%
-1.63 15
 
10.4%
-1.64 4
 
2.8%

2016-09-24
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.61
63 
-1.6
57 
-1.62
22 
<NA>
 
2

Length

Max length5
Median length5
Mean length4.5902778
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.61
2nd row-1.61
3rd row-1.61
4th row-1.61
5th row-1.61

Common Values

ValueCountFrequency (%)
-1.61 63
43.8%
-1.6 57
39.6%
-1.62 22
 
15.3%
<NA> 2
 
1.4%

Length

2023-12-11T12:22:45.082850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:45.288709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.61 63
43.8%
1.6 57
39.6%
1.62 22
 
15.3%
na 2
 
1.4%

2016-09-25
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.6
72 
-1.59
70 
-1.58
 
2

Length

Max length5
Median length4.5
Mean length4.5
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.6
2nd row-1.6
3rd row-1.6
4th row-1.6
5th row-1.6

Common Values

ValueCountFrequency (%)
-1.6 72
50.0%
-1.59 70
48.6%
-1.58 2
 
1.4%

Length

2023-12-11T12:22:45.457026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:45.600044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.6 72
50.0%
1.59 70
48.6%
1.58 2
 
1.4%

2016-09-26
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.58
97 
-1.59
32 
-1.57
15 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.58
2nd row-1.59
3rd row-1.59
4th row-1.59
5th row-1.59

Common Values

ValueCountFrequency (%)
-1.58 97
67.4%
-1.59 32
 
22.2%
-1.57 15
 
10.4%

Length

2023-12-11T12:22:45.749048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:45.887806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.58 97
67.4%
1.59 32
 
22.2%
1.57 15
 
10.4%

2016-09-27
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.56
52 
-1.55
45 
-1.57
40 
-1.54

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.57
2nd row-1.57
3rd row-1.57
4th row-1.57
5th row-1.57

Common Values

ValueCountFrequency (%)
-1.56 52
36.1%
-1.55 45
31.2%
-1.57 40
27.8%
-1.54 7
 
4.9%

Length

2023-12-11T12:22:46.039417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:46.183851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.56 52
36.1%
1.55 45
31.2%
1.57 40
27.8%
1.54 7
 
4.9%

2016-09-28
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.54
107 
-1.55
23 
-1.53
14 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.54
2nd row-1.54
3rd row-1.54
4th row-1.54
5th row-1.54

Common Values

ValueCountFrequency (%)
-1.54 107
74.3%
-1.55 23
 
16.0%
-1.53 14
 
9.7%

Length

2023-12-11T12:22:46.326918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:46.497990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.54 107
74.3%
1.55 23
 
16.0%
1.53 14
 
9.7%

2016-09-29
Real number (ℝ)

Distinct21
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5292361
Minimum-1.68
Maximum-1.48
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:46.628591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.68
5-th percentile-1.64
Q1-1.52
median-1.52
Q3-1.51
95-th percentile-1.5
Maximum-1.48
Range0.2
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.042196342
Coefficient of variation (CV)-0.027593085
Kurtosis4.3071762
Mean-1.5292361
Median Absolute Deviation (MAD)0.01
Skewness-2.25591
Sum-220.21
Variance0.0017805313
MonotonicityNot monotonic
2023-12-11T12:22:46.807438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
-1.52 52
36.1%
-1.51 35
24.3%
-1.5 24
16.7%
-1.53 5
 
3.5%
-1.55 3
 
2.1%
-1.56 3
 
2.1%
-1.67 3
 
2.1%
-1.64 2
 
1.4%
-1.48 2
 
1.4%
-1.66 2
 
1.4%
Other values (11) 13
 
9.0%
ValueCountFrequency (%)
-1.68 1
 
0.7%
-1.67 3
2.1%
-1.66 2
1.4%
-1.65 1
 
0.7%
-1.64 2
1.4%
-1.63 2
1.4%
-1.62 1
 
0.7%
-1.61 1
 
0.7%
-1.6 1
 
0.7%
-1.59 1
 
0.7%
ValueCountFrequency (%)
-1.48 2
 
1.4%
-1.49 1
 
0.7%
-1.5 24
16.7%
-1.51 35
24.3%
-1.52 52
36.1%
-1.53 5
 
3.5%
-1.54 1
 
0.7%
-1.55 3
 
2.1%
-1.56 3
 
2.1%
-1.57 1
 
0.7%

2016-09-30
Real number (ℝ)

Distinct16
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5372917
Minimum-1.66
Maximum-1.5
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:47.000524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.66
5-th percentile-1.6185
Q1-1.55
median-1.54
Q3-1.5
95-th percentile-1.5
Maximum-1.5
Range0.16
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.036493485
Coefficient of variation (CV)-0.023738817
Kurtosis2.1520594
Mean-1.5372917
Median Absolute Deviation (MAD)0.015
Skewness-1.2990893
Sum-221.37
Variance0.0013317745
MonotonicityNot monotonic
2023-12-11T12:22:47.177778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.5 48
33.3%
-1.54 46
31.9%
-1.55 22
15.3%
-1.56 6
 
4.2%
-1.53 4
 
2.8%
-1.6 3
 
2.1%
-1.57 2
 
1.4%
-1.58 2
 
1.4%
-1.63 2
 
1.4%
-1.65 2
 
1.4%
Other values (6) 7
 
4.9%
ValueCountFrequency (%)
-1.66 2
1.4%
-1.65 2
1.4%
-1.64 1
 
0.7%
-1.63 2
1.4%
-1.62 1
 
0.7%
-1.61 1
 
0.7%
-1.6 3
2.1%
-1.59 1
 
0.7%
-1.58 2
1.4%
-1.57 2
1.4%
ValueCountFrequency (%)
-1.5 48
33.3%
-1.51 1
 
0.7%
-1.53 4
 
2.8%
-1.54 46
31.9%
-1.55 22
15.3%
-1.56 6
 
4.2%
-1.57 2
 
1.4%
-1.58 2
 
1.4%
-1.59 1
 
0.7%
-1.6 3
 
2.1%

2016-10-01
Real number (ℝ)

Distinct20
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5839583
Minimum-1.75
Maximum-1.53
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:47.361097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.75
5-th percentile-1.717
Q1-1.6
median-1.59
Q3-1.53
95-th percentile-1.53
Maximum-1.53
Range0.22
Interquartile range (IQR)0.07

Descriptive statistics

Standard deviation0.053326003
Coefficient of variation (CV)-0.033666291
Kurtosis1.574322
Mean-1.5839583
Median Absolute Deviation (MAD)0.025
Skewness-1.2643937
Sum-228.09
Variance0.0028436626
MonotonicityNot monotonic
2023-12-11T12:22:47.524970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
-1.59 43
29.9%
-1.53 43
29.9%
-1.6 18
12.5%
-1.58 7
 
4.9%
-1.54 6
 
4.2%
-1.57 4
 
2.8%
-1.73 3
 
2.1%
-1.64 3
 
2.1%
-1.7 2
 
1.4%
-1.74 2
 
1.4%
Other values (10) 13
 
9.0%
ValueCountFrequency (%)
-1.75 1
 
0.7%
-1.74 2
1.4%
-1.73 3
2.1%
-1.72 2
1.4%
-1.7 2
1.4%
-1.69 1
 
0.7%
-1.68 1
 
0.7%
-1.67 2
1.4%
-1.65 2
1.4%
-1.64 3
2.1%
ValueCountFrequency (%)
-1.53 43
29.9%
-1.54 6
 
4.2%
-1.55 1
 
0.7%
-1.56 1
 
0.7%
-1.57 4
 
2.8%
-1.58 7
 
4.9%
-1.59 43
29.9%
-1.6 18
12.5%
-1.62 1
 
0.7%
-1.63 1
 
0.7%

2016-10-02
Real number (ℝ)

Distinct23
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5772917
Minimum-1.78
Maximum-1.51
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:47.658913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.78
5-th percentile-1.7285
Q1-1.58
median-1.57
Q3-1.54
95-th percentile-1.52
Maximum-1.51
Range0.27
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.060651691
Coefficient of variation (CV)-0.03845306
Kurtosis2.6067684
Mean-1.5772917
Median Absolute Deviation (MAD)0.03
Skewness-1.7291789
Sum-227.13
Variance0.0036786276
MonotonicityNot monotonic
2023-12-11T12:22:48.178998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
-1.58 32
22.2%
-1.54 29
20.1%
-1.53 17
11.8%
-1.57 15
10.4%
-1.59 10
 
6.9%
-1.52 8
 
5.6%
-1.51 6
 
4.2%
-1.64 3
 
2.1%
-1.55 3
 
2.1%
-1.68 2
 
1.4%
Other values (13) 19
13.2%
ValueCountFrequency (%)
-1.78 1
0.7%
-1.77 2
1.4%
-1.76 1
0.7%
-1.75 1
0.7%
-1.74 1
0.7%
-1.73 2
1.4%
-1.72 2
1.4%
-1.71 1
0.7%
-1.7 2
1.4%
-1.68 2
1.4%
ValueCountFrequency (%)
-1.51 6
 
4.2%
-1.52 8
 
5.6%
-1.53 17
11.8%
-1.54 29
20.1%
-1.55 3
 
2.1%
-1.56 1
 
0.7%
-1.57 15
10.4%
-1.58 32
22.2%
-1.59 10
 
6.9%
-1.62 2
 
1.4%

2016-10-03
Real number (ℝ)

Distinct21
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.56625
Minimum-1.76
Maximum-1.52
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:48.378071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.76
5-th percentile-1.72
Q1-1.55
median-1.54
Q3-1.54
95-th percentile-1.53
Maximum-1.52
Range0.24
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.058127843
Coefficient of variation (CV)-0.037112749
Kurtosis3.7886446
Mean-1.56625
Median Absolute Deviation (MAD)0
Skewness-2.2314296
Sum-225.54
Variance0.0033788462
MonotonicityNot monotonic
2023-12-11T12:22:48.549928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
-1.54 82
56.9%
-1.55 18
 
12.5%
-1.53 9
 
6.2%
-1.56 4
 
2.8%
-1.57 3
 
2.1%
-1.6 3
 
2.1%
-1.75 3
 
2.1%
-1.52 2
 
1.4%
-1.76 2
 
1.4%
-1.72 2
 
1.4%
Other values (11) 16
 
11.1%
ValueCountFrequency (%)
-1.76 2
1.4%
-1.75 3
2.1%
-1.74 1
 
0.7%
-1.73 1
 
0.7%
-1.72 2
1.4%
-1.71 1
 
0.7%
-1.7 2
1.4%
-1.69 1
 
0.7%
-1.67 2
1.4%
-1.65 2
1.4%
ValueCountFrequency (%)
-1.52 2
 
1.4%
-1.53 9
 
6.2%
-1.54 82
56.9%
-1.55 18
 
12.5%
-1.56 4
 
2.8%
-1.57 3
 
2.1%
-1.59 1
 
0.7%
-1.6 3
 
2.1%
-1.61 2
 
1.4%
-1.62 2
 
1.4%

2016-10-04
Real number (ℝ)

Distinct22
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5424306
Minimum-1.76
Maximum-1.5
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:48.710923image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.76
5-th percentile-1.71
Q1-1.53
median-1.51
Q3-1.51
95-th percentile-1.5
Maximum-1.5
Range0.26
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.065933284
Coefficient of variation (CV)-0.042746355
Kurtosis3.0453745
Mean-1.5424306
Median Absolute Deviation (MAD)0.01
Skewness-2.0641755
Sum-222.11
Variance0.0043471979
MonotonicityNot monotonic
2023-12-11T12:22:48.906350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
-1.51 49
34.0%
-1.5 26
18.1%
-1.53 18
 
12.5%
-1.52 18
 
12.5%
-1.54 3
 
2.1%
-1.56 3
 
2.1%
-1.67 2
 
1.4%
-1.75 2
 
1.4%
-1.73 2
 
1.4%
-1.71 2
 
1.4%
Other values (12) 19
 
13.2%
ValueCountFrequency (%)
-1.76 1
0.7%
-1.75 2
1.4%
-1.74 1
0.7%
-1.73 2
1.4%
-1.72 1
0.7%
-1.71 2
1.4%
-1.7 2
1.4%
-1.69 2
1.4%
-1.67 2
1.4%
-1.65 2
1.4%
ValueCountFrequency (%)
-1.5 26
18.1%
-1.51 49
34.0%
-1.52 18
 
12.5%
-1.53 18
 
12.5%
-1.54 3
 
2.1%
-1.55 2
 
1.4%
-1.56 3
 
2.1%
-1.57 2
 
1.4%
-1.59 2
 
1.4%
-1.6 1
 
0.7%

2016-10-05
Real number (ℝ)

Distinct22
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5304167
Minimum-1.7
Maximum-1.47
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:49.093440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.7
5-th percentile-1.6685
Q1-1.55
median-1.52
Q3-1.49
95-th percentile-1.48
Maximum-1.47
Range0.23
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.055820329
Coefficient of variation (CV)-0.036473942
Kurtosis2.1358015
Mean-1.5304167
Median Absolute Deviation (MAD)0.03
Skewness-1.6302652
Sum-220.38
Variance0.0031159091
MonotonicityNot monotonic
2023-12-11T12:22:49.264779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
-1.49 25
17.4%
-1.52 21
14.6%
-1.48 18
12.5%
-1.5 16
11.1%
-1.53 14
9.7%
-1.55 9
 
6.2%
-1.56 6
 
4.2%
-1.51 5
 
3.5%
-1.57 4
 
2.8%
-1.7 4
 
2.8%
Other values (12) 22
15.3%
ValueCountFrequency (%)
-1.7 4
2.8%
-1.69 2
1.4%
-1.68 1
 
0.7%
-1.67 1
 
0.7%
-1.66 1
 
0.7%
-1.65 2
1.4%
-1.64 1
 
0.7%
-1.63 2
1.4%
-1.61 3
2.1%
-1.59 2
1.4%
ValueCountFrequency (%)
-1.47 3
 
2.1%
-1.48 18
12.5%
-1.49 25
17.4%
-1.5 16
11.1%
-1.51 5
 
3.5%
-1.52 21
14.6%
-1.53 14
9.7%
-1.54 3
 
2.1%
-1.55 9
 
6.2%
-1.56 6
 
4.2%

2016-10-06
Real number (ℝ)

Distinct25
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5124306
Minimum-1.71
Maximum-1.46
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:49.427887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.71
5-th percentile-1.6685
Q1-1.51
median-1.49
Q3-1.48
95-th percentile-1.46
Maximum-1.46
Range0.25
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.062031421
Coefficient of variation (CV)-0.041014393
Kurtosis2.6796377
Mean-1.5124306
Median Absolute Deviation (MAD)0.02
Skewness-1.9235661
Sum-217.79
Variance0.0038478972
MonotonicityNot monotonic
2023-12-11T12:22:49.590484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
-1.48 29
20.1%
-1.47 24
16.7%
-1.5 23
16.0%
-1.49 17
11.8%
-1.51 11
 
7.6%
-1.46 9
 
6.2%
-1.52 4
 
2.8%
-1.66 3
 
2.1%
-1.55 2
 
1.4%
-1.71 2
 
1.4%
Other values (15) 20
13.9%
ValueCountFrequency (%)
-1.71 2
1.4%
-1.7 2
1.4%
-1.69 1
 
0.7%
-1.68 2
1.4%
-1.67 1
 
0.7%
-1.66 3
2.1%
-1.65 1
 
0.7%
-1.64 1
 
0.7%
-1.63 2
1.4%
-1.62 1
 
0.7%
ValueCountFrequency (%)
-1.46 9
 
6.2%
-1.47 24
16.7%
-1.48 29
20.1%
-1.49 17
11.8%
-1.5 23
16.0%
-1.51 11
 
7.6%
-1.52 4
 
2.8%
-1.53 1
 
0.7%
-1.54 1
 
0.7%
-1.55 2
 
1.4%

2016-10-07
Real number (ℝ)

Distinct16
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5250694
Minimum-1.61
Maximum-1.46
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:49.765229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.61
5-th percentile-1.6
Q1-1.58
median-1.515
Q3-1.47
95-th percentile-1.47
Maximum-1.46
Range0.15
Interquartile range (IQR)0.11

Descriptive statistics

Standard deviation0.054772211
Coefficient of variation (CV)-0.035914569
Kurtosis-1.8270256
Mean-1.5250694
Median Absolute Deviation (MAD)0.045
Skewness-0.10711177
Sum-219.61
Variance0.0029999951
MonotonicityNot monotonic
2023-12-11T12:22:49.890895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.47 52
36.1%
-1.58 23
16.0%
-1.59 15
 
10.4%
-1.48 10
 
6.9%
-1.57 10
 
6.9%
-1.56 9
 
6.2%
-1.46 6
 
4.2%
-1.6 5
 
3.5%
-1.61 4
 
2.8%
-1.55 3
 
2.1%
Other values (6) 7
 
4.9%
ValueCountFrequency (%)
-1.61 4
 
2.8%
-1.6 5
 
3.5%
-1.59 15
10.4%
-1.58 23
16.0%
-1.57 10
6.9%
-1.56 9
 
6.2%
-1.55 3
 
2.1%
-1.54 1
 
0.7%
-1.53 1
 
0.7%
-1.52 1
 
0.7%
ValueCountFrequency (%)
-1.46 6
 
4.2%
-1.47 52
36.1%
-1.48 10
 
6.9%
-1.49 1
 
0.7%
-1.5 2
 
1.4%
-1.51 1
 
0.7%
-1.52 1
 
0.7%
-1.53 1
 
0.7%
-1.54 1
 
0.7%
-1.55 3
 
2.1%

2016-10-08
Real number (ℝ)

Distinct23
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.4461806
Minimum-1.55
Maximum-1.33
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:50.021454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.55
5-th percentile-1.54
Q1-1.5
median-1.44
Q3-1.39
95-th percentile-1.34
Maximum-1.33
Range0.22
Interquartile range (IQR)0.11

Descriptive statistics

Standard deviation0.067678761
Coefficient of variation (CV)-0.046798279
Kurtosis-1.3466354
Mean-1.4461806
Median Absolute Deviation (MAD)0.06
Skewness0.10527043
Sum-208.25
Variance0.0045804147
MonotonicityNot monotonic
2023-12-11T12:22:50.143223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
-1.53 14
 
9.7%
-1.5 14
 
9.7%
-1.54 13
 
9.0%
-1.36 10
 
6.9%
-1.49 10
 
6.9%
-1.43 9
 
6.2%
-1.44 9
 
6.2%
-1.4 9
 
6.2%
-1.41 8
 
5.6%
-1.37 6
 
4.2%
Other values (13) 42
29.2%
ValueCountFrequency (%)
-1.55 1
 
0.7%
-1.54 13
9.0%
-1.53 14
9.7%
-1.52 3
 
2.1%
-1.51 3
 
2.1%
-1.5 14
9.7%
-1.49 10
6.9%
-1.48 4
 
2.8%
-1.47 2
 
1.4%
-1.46 1
 
0.7%
ValueCountFrequency (%)
-1.33 4
 
2.8%
-1.34 6
4.2%
-1.35 5
3.5%
-1.36 10
6.9%
-1.37 6
4.2%
-1.38 3
 
2.1%
-1.39 4
 
2.8%
-1.4 9
6.2%
-1.41 8
5.6%
-1.42 3
 
2.1%

2016-10-09
Real number (ℝ)

Distinct13
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.2653472
Minimum-1.34
Maximum-1.22
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:50.263515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.34
5-th percentile-1.32
Q1-1.2725
median-1.26
Q3-1.25
95-th percentile-1.22
Maximum-1.22
Range0.12
Interquartile range (IQR)0.0225

Descriptive statistics

Standard deviation0.029681602
Coefficient of variation (CV)-0.023457278
Kurtosis0.028012466
Mean-1.2653472
Median Absolute Deviation (MAD)0.01
Skewness-0.76530576
Sum-182.21
Variance0.00088099747
MonotonicityNot monotonic
2023-12-11T12:22:50.413042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=13)
ValueCountFrequency (%)
-1.26 52
36.1%
-1.25 22
15.3%
-1.3 12
 
8.3%
-1.22 12
 
8.3%
-1.24 10
 
6.9%
-1.32 7
 
4.9%
-1.27 6
 
4.2%
-1.23 6
 
4.2%
-1.31 5
 
3.5%
-1.33 4
 
2.8%
Other values (3) 8
 
5.6%
ValueCountFrequency (%)
-1.34 3
 
2.1%
-1.33 4
 
2.8%
-1.32 7
 
4.9%
-1.31 5
 
3.5%
-1.3 12
 
8.3%
-1.29 2
 
1.4%
-1.28 3
 
2.1%
-1.27 6
 
4.2%
-1.26 52
36.1%
-1.25 22
15.3%
ValueCountFrequency (%)
-1.22 12
 
8.3%
-1.23 6
 
4.2%
-1.24 10
 
6.9%
-1.25 22
15.3%
-1.26 52
36.1%
-1.27 6
 
4.2%
-1.28 3
 
2.1%
-1.29 2
 
1.4%
-1.3 12
 
8.3%
-1.31 5
 
3.5%

2016-10-10
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.21
51 
-1.2
45 
-1.22
32 
-1.19
16 

Length

Max length5
Median length5
Mean length4.6875
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.22
2nd row-1.22
3rd row-1.22
4th row-1.22
5th row-1.22

Common Values

ValueCountFrequency (%)
-1.21 51
35.4%
-1.2 45
31.2%
-1.22 32
22.2%
-1.19 16
 
11.1%

Length

2023-12-11T12:22:50.567262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:50.781691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.21 51
35.4%
1.2 45
31.2%
1.22 32
22.2%
1.19 16
 
11.1%

2016-10-11
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.19
75 
-1.18
69 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.19
2nd row-1.19
3rd row-1.19
4th row-1.19
5th row-1.19

Common Values

ValueCountFrequency (%)
-1.19 75
52.1%
-1.18 69
47.9%

Length

2023-12-11T12:22:50.933532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:51.041820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.19 75
52.1%
1.18 69
47.9%

2016-10-12
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.17
81 
-1.18
43 
-1.16
12 
-1.15
 
8

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.18
2nd row-1.18
3rd row-1.18
4th row-1.18
5th row-1.18

Common Values

ValueCountFrequency (%)
-1.17 81
56.2%
-1.18 43
29.9%
-1.16 12
 
8.3%
-1.15 8
 
5.6%

Length

2023-12-11T12:22:51.164334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:51.331694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.17 81
56.2%
1.18 43
29.9%
1.16 12
 
8.3%
1.15 8
 
5.6%

2016-10-13
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.15
118 
-1.16
21 
-1.14
 
5

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.16
2nd row-1.16
3rd row-1.16
4th row-1.16
5th row-1.16

Common Values

ValueCountFrequency (%)
-1.15 118
81.9%
-1.16 21
 
14.6%
-1.14 5
 
3.5%

Length

2023-12-11T12:22:51.513706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:51.740624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.15 118
81.9%
1.16 21
 
14.6%
1.14 5
 
3.5%

2016-10-14
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.14
107 
-1.15
37 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.14
2nd row-1.14
3rd row-1.14
4th row-1.14
5th row-1.14

Common Values

ValueCountFrequency (%)
-1.14 107
74.3%
-1.15 37
 
25.7%

Length

2023-12-11T12:22:51.933917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:52.075935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.14 107
74.3%
1.15 37
 
25.7%

2016-10-15
Real number (ℝ)

Distinct16
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.3054861
Minimum-1.43
Maximum-1.13
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:52.207118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.43
5-th percentile-1.41
Q1-1.41
median-1.4
Q3-1.13
95-th percentile-1.13
Maximum-1.13
Range0.3
Interquartile range (IQR)0.28

Descriptive statistics

Standard deviation0.13016305
Coefficient of variation (CV)-0.09970466
Kurtosis-1.6715875
Mean-1.3054861
Median Absolute Deviation (MAD)0.01
Skewness0.53299345
Sum-187.99
Variance0.016942419
MonotonicityNot monotonic
2023-12-11T12:22:52.383725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
-1.41 55
38.2%
-1.13 42
29.2%
-1.4 20
 
13.9%
-1.14 5
 
3.5%
-1.42 4
 
2.8%
-1.39 4
 
2.8%
-1.43 3
 
2.1%
-1.15 2
 
1.4%
-1.23 2
 
1.4%
-1.37 1
 
0.7%
Other values (6) 6
 
4.2%
ValueCountFrequency (%)
-1.43 3
 
2.1%
-1.42 4
 
2.8%
-1.41 55
38.2%
-1.4 20
 
13.9%
-1.39 4
 
2.8%
-1.37 1
 
0.7%
-1.34 1
 
0.7%
-1.31 1
 
0.7%
-1.28 1
 
0.7%
-1.26 1
 
0.7%
ValueCountFrequency (%)
-1.13 42
29.2%
-1.14 5
 
3.5%
-1.15 2
 
1.4%
-1.19 1
 
0.7%
-1.23 2
 
1.4%
-1.24 1
 
0.7%
-1.26 1
 
0.7%
-1.28 1
 
0.7%
-1.31 1
 
0.7%
-1.34 1
 
0.7%

2016-10-16
Real number (ℝ)

Distinct20
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5201389
Minimum-1.66
Maximum-1.39
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:52.600536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.66
5-th percentile-1.63
Q1-1.59
median-1.58
Q3-1.4
95-th percentile-1.39
Maximum-1.39
Range0.27
Interquartile range (IQR)0.19

Descriptive statistics

Standard deviation0.094558127
Coefficient of variation (CV)-0.06220361
Kurtosis-1.6290901
Mean-1.5201389
Median Absolute Deviation (MAD)0.03
Skewness0.41762856
Sum-218.9
Variance0.0089412393
MonotonicityNot monotonic
2023-12-11T12:22:52.852645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
-1.58 43
29.9%
-1.4 33
22.9%
-1.39 16
 
11.1%
-1.59 13
 
9.0%
-1.6 7
 
4.9%
-1.61 7
 
4.9%
-1.63 4
 
2.8%
-1.62 4
 
2.8%
-1.64 3
 
2.1%
-1.65 2
 
1.4%
Other values (10) 12
 
8.3%
ValueCountFrequency (%)
-1.66 1
 
0.7%
-1.65 2
 
1.4%
-1.64 3
 
2.1%
-1.63 4
 
2.8%
-1.62 4
 
2.8%
-1.61 7
 
4.9%
-1.6 7
 
4.9%
-1.59 13
 
9.0%
-1.58 43
29.9%
-1.57 2
 
1.4%
ValueCountFrequency (%)
-1.39 16
11.1%
-1.4 33
22.9%
-1.44 1
 
0.7%
-1.45 1
 
0.7%
-1.46 2
 
1.4%
-1.47 1
 
0.7%
-1.49 1
 
0.7%
-1.51 1
 
0.7%
-1.53 1
 
0.7%
-1.55 1
 
0.7%

2016-10-17
Real number (ℝ)

Distinct31
Distinct (%)21.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5836111
Minimum-1.87
Maximum-1.49
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:53.096461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.87
5-th percentile-1.7985
Q1-1.58
median-1.56
Q3-1.51
95-th percentile-1.51
Maximum-1.49
Range0.38
Interquartile range (IQR)0.07

Descriptive statistics

Standard deviation0.094503569
Coefficient of variation (CV)-0.059675995
Kurtosis1.6209082
Mean-1.5836111
Median Absolute Deviation (MAD)0.04
Skewness-1.6084662
Sum-228.04
Variance0.0089309246
MonotonicityNot monotonic
2023-12-11T12:22:53.285795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
-1.51 33
22.9%
-1.57 31
21.5%
-1.52 13
 
9.0%
-1.56 12
 
8.3%
-1.58 7
 
4.9%
-1.5 4
 
2.8%
-1.54 4
 
2.8%
-1.63 3
 
2.1%
-1.53 3
 
2.1%
-1.79 3
 
2.1%
Other values (21) 31
21.5%
ValueCountFrequency (%)
-1.87 2
1.4%
-1.85 2
1.4%
-1.84 1
 
0.7%
-1.82 1
 
0.7%
-1.81 1
 
0.7%
-1.8 1
 
0.7%
-1.79 3
2.1%
-1.78 2
1.4%
-1.77 1
 
0.7%
-1.76 2
1.4%
ValueCountFrequency (%)
-1.49 2
 
1.4%
-1.5 4
 
2.8%
-1.51 33
22.9%
-1.52 13
 
9.0%
-1.53 3
 
2.1%
-1.54 4
 
2.8%
-1.55 2
 
1.4%
-1.56 12
 
8.3%
-1.57 31
21.5%
-1.58 7
 
4.9%

2016-10-18
Real number (ℝ)

Distinct23
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5297917
Minimum-1.74
Maximum-1.48
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:53.475133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.74
5-th percentile-1.6885
Q1-1.5225
median-1.51
Q3-1.49
95-th percentile-1.49
Maximum-1.48
Range0.26
Interquartile range (IQR)0.0325

Descriptive statistics

Standard deviation0.060781263
Coefficient of variation (CV)-0.039731726
Kurtosis3.3137436
Mean-1.5297917
Median Absolute Deviation (MAD)0.02
Skewness-2.0613439
Sum-220.29
Variance0.0036943619
MonotonicityNot monotonic
2023-12-11T12:22:53.655231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
-1.49 43
29.9%
-1.51 26
18.1%
-1.5 20
13.9%
-1.52 18
12.5%
-1.53 4
 
2.8%
-1.55 4
 
2.8%
-1.54 3
 
2.1%
-1.69 3
 
2.1%
-1.56 3
 
2.1%
-1.65 2
 
1.4%
Other values (13) 18
12.5%
ValueCountFrequency (%)
-1.74 2
1.4%
-1.72 2
1.4%
-1.7 1
 
0.7%
-1.69 3
2.1%
-1.68 2
1.4%
-1.67 1
 
0.7%
-1.66 1
 
0.7%
-1.65 2
1.4%
-1.64 1
 
0.7%
-1.62 2
1.4%
ValueCountFrequency (%)
-1.48 1
 
0.7%
-1.49 43
29.9%
-1.5 20
13.9%
-1.51 26
18.1%
-1.52 18
12.5%
-1.53 4
 
2.8%
-1.54 3
 
2.1%
-1.55 4
 
2.8%
-1.56 3
 
2.1%
-1.57 1
 
0.7%

2016-10-19
Real number (ℝ)

Distinct26
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5496528
Minimum-1.81
Maximum-1.48
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:53.848904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.81
5-th percentile-1.75
Q1-1.54
median-1.51
Q3-1.5
95-th percentile-1.5
Maximum-1.48
Range0.33
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.084963284
Coefficient of variation (CV)-0.054827304
Kurtosis2.2451725
Mean-1.5496528
Median Absolute Deviation (MAD)0.01
Skewness-1.8949719
Sum-223.15
Variance0.0072187597
MonotonicityNot monotonic
2023-12-11T12:22:54.015151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
-1.5 43
29.9%
-1.51 35
24.3%
-1.52 23
16.0%
-1.56 4
 
2.8%
-1.75 3
 
2.1%
-1.72 3
 
2.1%
-1.53 3
 
2.1%
-1.55 3
 
2.1%
-1.49 2
 
1.4%
-1.63 2
 
1.4%
Other values (16) 23
16.0%
ValueCountFrequency (%)
-1.81 2
1.4%
-1.8 2
1.4%
-1.79 1
 
0.7%
-1.77 2
1.4%
-1.75 3
2.1%
-1.74 2
1.4%
-1.72 3
2.1%
-1.71 1
 
0.7%
-1.7 2
1.4%
-1.68 1
 
0.7%
ValueCountFrequency (%)
-1.48 1
 
0.7%
-1.49 2
 
1.4%
-1.5 43
29.9%
-1.51 35
24.3%
-1.52 23
16.0%
-1.53 3
 
2.1%
-1.54 2
 
1.4%
-1.55 3
 
2.1%
-1.56 4
 
2.8%
-1.57 1
 
0.7%

2016-10-20
Real number (ℝ)

Distinct30
Distinct (%)20.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5525
Minimum-1.82
Maximum-1.49
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:54.213849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.82
5-th percentile-1.76
Q1-1.54
median-1.52
Q3-1.51
95-th percentile-1.5
Maximum-1.49
Range0.33
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.085300784
Coefficient of variation (CV)-0.054944144
Kurtosis2.2990326
Mean-1.5525
Median Absolute Deviation (MAD)0.02
Skewness-1.9057902
Sum-223.56
Variance0.0072762238
MonotonicityNot monotonic
2023-12-11T12:22:54.409142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
-1.51 37
25.7%
-1.5 32
22.2%
-1.52 27
18.8%
-1.53 7
 
4.9%
-1.54 5
 
3.5%
-1.56 4
 
2.8%
-1.76 3
 
2.1%
-1.73 2
 
1.4%
-1.59 2
 
1.4%
-1.49 2
 
1.4%
Other values (20) 23
16.0%
ValueCountFrequency (%)
-1.82 1
 
0.7%
-1.81 2
1.4%
-1.8 1
 
0.7%
-1.79 1
 
0.7%
-1.78 1
 
0.7%
-1.76 3
2.1%
-1.75 2
1.4%
-1.74 1
 
0.7%
-1.73 2
1.4%
-1.72 2
1.4%
ValueCountFrequency (%)
-1.49 2
 
1.4%
-1.5 32
22.2%
-1.51 37
25.7%
-1.52 27
18.8%
-1.53 7
 
4.9%
-1.54 5
 
3.5%
-1.55 1
 
0.7%
-1.56 4
 
2.8%
-1.57 1
 
0.7%
-1.58 1
 
0.7%

2016-10-21
Real number (ℝ)

Distinct22
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5415278
Minimum-1.74
Maximum-1.5
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:54.605299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.74
5-th percentile-1.6985
Q1-1.53
median-1.52
Q3-1.51
95-th percentile-1.5
Maximum-1.5
Range0.24
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.061987134
Coefficient of variation (CV)-0.040211494
Kurtosis2.8315038
Mean-1.5415278
Median Absolute Deviation (MAD)0.01
Skewness-2.0105944
Sum-221.98
Variance0.0038424048
MonotonicityNot monotonic
2023-12-11T12:22:54.786170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
-1.52 46
31.9%
-1.51 30
20.8%
-1.5 28
19.4%
-1.54 5
 
3.5%
-1.53 5
 
3.5%
-1.74 3
 
2.1%
-1.69 3
 
2.1%
-1.7 2
 
1.4%
-1.68 2
 
1.4%
-1.62 2
 
1.4%
Other values (12) 18
 
12.5%
ValueCountFrequency (%)
-1.74 3
2.1%
-1.72 2
1.4%
-1.71 1
 
0.7%
-1.7 2
1.4%
-1.69 3
2.1%
-1.68 2
1.4%
-1.67 1
 
0.7%
-1.66 1
 
0.7%
-1.65 1
 
0.7%
-1.64 1
 
0.7%
ValueCountFrequency (%)
-1.5 28
19.4%
-1.51 30
20.8%
-1.52 46
31.9%
-1.53 5
 
3.5%
-1.54 5
 
3.5%
-1.55 2
 
1.4%
-1.56 2
 
1.4%
-1.57 2
 
1.4%
-1.58 2
 
1.4%
-1.6 2
 
1.4%

2016-10-22
Real number (ℝ)

Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5588194
Minimum-1.63
Maximum-1.51
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:54.959960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.63
5-th percentile-1.62
Q1-1.61
median-1.52
Q3-1.52
95-th percentile-1.51
Maximum-1.51
Range0.12
Interquartile range (IQR)0.09

Descriptive statistics

Standard deviation0.045025192
Coefficient of variation (CV)-0.028884161
Kurtosis-1.8733806
Mean-1.5588194
Median Absolute Deviation (MAD)0.01
Skewness-0.16749924
Sum-224.47
Variance0.0020272679
MonotonicityNot monotonic
2023-12-11T12:22:55.142020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-1.52 47
32.6%
-1.61 31
21.5%
-1.51 26
18.1%
-1.6 22
15.3%
-1.62 8
 
5.6%
-1.55 3
 
2.1%
-1.59 2
 
1.4%
-1.53 1
 
0.7%
-1.56 1
 
0.7%
-1.57 1
 
0.7%
Other values (2) 2
 
1.4%
ValueCountFrequency (%)
-1.63 1
 
0.7%
-1.62 8
 
5.6%
-1.61 31
21.5%
-1.6 22
15.3%
-1.59 2
 
1.4%
-1.58 1
 
0.7%
-1.57 1
 
0.7%
-1.56 1
 
0.7%
-1.55 3
 
2.1%
-1.53 1
 
0.7%
ValueCountFrequency (%)
-1.51 26
18.1%
-1.52 47
32.6%
-1.53 1
 
0.7%
-1.55 3
 
2.1%
-1.56 1
 
0.7%
-1.57 1
 
0.7%
-1.58 1
 
0.7%
-1.59 2
 
1.4%
-1.6 22
15.3%
-1.61 31
21.5%

2016-10-23
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.59
65 
-1.6
33 
-1.58
23 
-1.57
23 

Length

Max length5
Median length5
Mean length4.7708333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.6
2nd row-1.6
3rd row-1.6
4th row-1.6
5th row-1.6

Common Values

ValueCountFrequency (%)
-1.59 65
45.1%
-1.6 33
22.9%
-1.58 23
 
16.0%
-1.57 23
 
16.0%

Length

2023-12-11T12:22:55.300761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:55.472593image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.59 65
45.1%
1.6 33
22.9%
1.58 23
 
16.0%
1.57 23
 
16.0%

2016-10-24
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.59
78 
-1.58
66 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.58
2nd row-1.58
3rd row-1.58
4th row-1.58
5th row-1.58

Common Values

ValueCountFrequency (%)
-1.59 78
54.2%
-1.58 66
45.8%

Length

2023-12-11T12:22:55.615367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:55.767295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.59 78
54.2%
1.58 66
45.8%

2016-10-25
Real number (ℝ)

Distinct7
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.578125
Minimum-1.61
Maximum-1.55
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:55.903908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.61
5-th percentile-1.6
Q1-1.58
median-1.58
Q3-1.57
95-th percentile-1.56
Maximum-1.55
Range0.06
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.013739268
Coefficient of variation (CV)-0.0087060708
Kurtosis-0.26991461
Mean-1.578125
Median Absolute Deviation (MAD)0.01
Skewness-0.5080044
Sum-227.25
Variance0.00018876748
MonotonicityNot monotonic
2023-12-11T12:22:56.026085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
-1.58 51
35.4%
-1.57 33
22.9%
-1.56 26
18.1%
-1.6 16
 
11.1%
-1.59 11
 
7.6%
-1.61 6
 
4.2%
-1.55 1
 
0.7%
ValueCountFrequency (%)
-1.61 6
 
4.2%
-1.6 16
 
11.1%
-1.59 11
 
7.6%
-1.58 51
35.4%
-1.57 33
22.9%
-1.56 26
18.1%
-1.55 1
 
0.7%
ValueCountFrequency (%)
-1.55 1
 
0.7%
-1.56 26
18.1%
-1.57 33
22.9%
-1.58 51
35.4%
-1.59 11
 
7.6%
-1.6 16
 
11.1%
-1.61 6
 
4.2%

2016-10-26
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.55
81 
-1.56
44 
-1.54
19 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.56
2nd row-1.56
3rd row-1.56
4th row-1.56
5th row-1.56

Common Values

ValueCountFrequency (%)
-1.55 81
56.2%
-1.56 44
30.6%
-1.54 19
 
13.2%

Length

2023-12-11T12:22:56.174925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:56.288428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.55 81
56.2%
1.56 44
30.6%
1.54 19
 
13.2%

2016-10-27
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.54
84 
-1.53
52 
-1.55
 
8

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.55
2nd row-1.55
3rd row-1.55
4th row-1.54
5th row-1.54

Common Values

ValueCountFrequency (%)
-1.54 84
58.3%
-1.53 52
36.1%
-1.55 8
 
5.6%

Length

2023-12-11T12:22:56.429205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:56.556322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.54 84
58.3%
1.53 52
36.1%
1.55 8
 
5.6%

2016-10-28
Categorical

Distinct5
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.53
71 
-1.54
33 
-1.55
19 
-1.52
15 
-1.56
 
6

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.53
2nd row-1.53
3rd row-1.53
4th row-1.53
5th row-1.53

Common Values

ValueCountFrequency (%)
-1.53 71
49.3%
-1.54 33
22.9%
-1.55 19
 
13.2%
-1.52 15
 
10.4%
-1.56 6
 
4.2%

Length

2023-12-11T12:22:56.716652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:22:56.886752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.53 71
49.3%
1.54 33
22.9%
1.55 19
 
13.2%
1.52 15
 
10.4%
1.56 6
 
4.2%

2016-10-29
Real number (ℝ)

Distinct22
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5626389
Minimum-1.74
Maximum-1.51
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:57.061501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.74
5-th percentile-1.7085
Q1-1.55
median-1.54
Q3-1.54
95-th percentile-1.53
Maximum-1.51
Range0.23
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.053401581
Coefficient of variation (CV)-0.034173974
Kurtosis3.1780298
Mean-1.5626389
Median Absolute Deviation (MAD)0.01
Skewness-2.0845579
Sum-225.02
Variance0.0028517288
MonotonicityNot monotonic
2023-12-11T12:22:57.246193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
-1.54 56
38.9%
-1.53 26
18.1%
-1.55 23
16.0%
-1.52 5
 
3.5%
-1.56 4
 
2.8%
-1.58 3
 
2.1%
-1.59 3
 
2.1%
-1.71 3
 
2.1%
-1.72 2
 
1.4%
-1.7 2
 
1.4%
Other values (12) 17
 
11.8%
ValueCountFrequency (%)
-1.74 1
 
0.7%
-1.73 2
1.4%
-1.72 2
1.4%
-1.71 3
2.1%
-1.7 2
1.4%
-1.69 1
 
0.7%
-1.68 1
 
0.7%
-1.67 2
1.4%
-1.66 1
 
0.7%
-1.65 2
1.4%
ValueCountFrequency (%)
-1.51 1
 
0.7%
-1.52 5
 
3.5%
-1.53 26
18.1%
-1.54 56
38.9%
-1.55 23
16.0%
-1.56 4
 
2.8%
-1.57 1
 
0.7%
-1.58 3
 
2.1%
-1.59 3
 
2.1%
-1.6 1
 
0.7%

2016-10-30
Real number (ℝ)

Distinct20
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5511806
Minimum-1.71
Maximum-1.51
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:57.408995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.71
5-th percentile-1.6785
Q1-1.54
median-1.53
Q3-1.53
95-th percentile-1.52
Maximum-1.51
Range0.2
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.047459906
Coefficient of variation (CV)-0.030595991
Kurtosis3.9447994
Mean-1.5511806
Median Absolute Deviation (MAD)0.01
Skewness-2.2435255
Sum-223.37
Variance0.0022524427
MonotonicityNot monotonic
2023-12-11T12:22:57.605733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
-1.53 65
45.1%
-1.54 32
22.2%
-1.52 15
 
10.4%
-1.58 5
 
3.5%
-1.51 3
 
2.1%
-1.71 3
 
2.1%
-1.57 2
 
1.4%
-1.7 2
 
1.4%
-1.69 2
 
1.4%
-1.67 2
 
1.4%
Other values (10) 13
 
9.0%
ValueCountFrequency (%)
-1.71 3
2.1%
-1.7 2
1.4%
-1.69 2
1.4%
-1.68 1
 
0.7%
-1.67 2
1.4%
-1.66 2
1.4%
-1.65 1
 
0.7%
-1.64 1
 
0.7%
-1.63 1
 
0.7%
-1.62 2
1.4%
ValueCountFrequency (%)
-1.51 3
 
2.1%
-1.52 15
 
10.4%
-1.53 65
45.1%
-1.54 32
22.2%
-1.55 1
 
0.7%
-1.56 2
 
1.4%
-1.57 2
 
1.4%
-1.58 5
 
3.5%
-1.59 1
 
0.7%
-1.6 1
 
0.7%

2016-10-31
Real number (ℝ)

Distinct21
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5627778
Minimum-1.74
Maximum-1.52
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:57.788735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.74
5-th percentile-1.7
Q1-1.57
median-1.545
Q3-1.53
95-th percentile-1.52
Maximum-1.52
Range0.22
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.052920899
Coefficient of variation (CV)-0.033863356
Kurtosis3.03028
Mean-1.5627778
Median Absolute Deviation (MAD)0.015
Skewness-1.9682185
Sum-225.04
Variance0.0028006216
MonotonicityNot monotonic
2023-12-11T12:22:58.336745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
-1.53 42
29.2%
-1.55 24
16.7%
-1.54 16
 
11.1%
-1.52 14
 
9.7%
-1.57 9
 
6.2%
-1.56 8
 
5.6%
-1.58 8
 
5.6%
-1.7 3
 
2.1%
-1.74 2
 
1.4%
-1.71 2
 
1.4%
Other values (11) 16
 
11.1%
ValueCountFrequency (%)
-1.74 2
1.4%
-1.73 1
 
0.7%
-1.72 1
 
0.7%
-1.71 2
1.4%
-1.7 3
2.1%
-1.69 2
1.4%
-1.67 2
1.4%
-1.66 2
1.4%
-1.65 1
 
0.7%
-1.63 2
1.4%
ValueCountFrequency (%)
-1.52 14
 
9.7%
-1.53 42
29.2%
-1.54 16
 
11.1%
-1.55 24
16.7%
-1.56 8
 
5.6%
-1.57 9
 
6.2%
-1.58 8
 
5.6%
-1.59 2
 
1.4%
-1.6 1
 
0.7%
-1.61 1
 
0.7%

2016-11-01
Real number (ℝ)

MISSING 

Distinct29
Distinct (%)22.3%
Missing14
Missing (%)9.7%
Infinite0
Infinite (%)0.0%
Mean-1.5850769
Minimum-1.82
Maximum-1.52
Zeros0
Zeros (%)0.0%
Negative130
Negative (%)90.3%
Memory size1.4 KiB
2023-12-11T12:22:58.479101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.82
5-th percentile-1.7855
Q1-1.5875
median-1.54
Q3-1.5325
95-th percentile-1.53
Maximum-1.52
Range0.3
Interquartile range (IQR)0.055

Descriptive statistics

Standard deviation0.086115536
Coefficient of variation (CV)-0.054328932
Kurtosis1.305305
Mean-1.5850769
Median Absolute Deviation (MAD)0.01
Skewness-1.6613275
Sum-206.06
Variance0.0074158855
MonotonicityNot monotonic
2023-12-11T12:22:58.639452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
-1.54 42
29.2%
-1.53 31
21.5%
-1.56 8
 
5.6%
-1.55 8
 
5.6%
-1.58 3
 
2.1%
-1.82 3
 
2.1%
-1.78 3
 
2.1%
-1.57 3
 
2.1%
-1.59 3
 
2.1%
-1.81 2
 
1.4%
Other values (19) 24
16.7%
(Missing) 14
 
9.7%
ValueCountFrequency (%)
-1.82 3
2.1%
-1.81 2
1.4%
-1.8 1
 
0.7%
-1.79 1
 
0.7%
-1.78 3
2.1%
-1.77 1
 
0.7%
-1.76 2
1.4%
-1.75 2
1.4%
-1.74 1
 
0.7%
-1.73 1
 
0.7%
ValueCountFrequency (%)
-1.52 2
 
1.4%
-1.53 31
21.5%
-1.54 42
29.2%
-1.55 8
 
5.6%
-1.56 8
 
5.6%
-1.57 3
 
2.1%
-1.58 3
 
2.1%
-1.59 3
 
2.1%
-1.6 2
 
1.4%
-1.61 1
 
0.7%

2016-11-02
Real number (ℝ)

MISSING 

Distinct14
Distinct (%)21.2%
Missing78
Missing (%)54.2%
Infinite0
Infinite (%)0.0%
Mean-1.5539394
Minimum-1.72
Maximum-1.51
Zeros0
Zeros (%)0.0%
Negative66
Negative (%)45.8%
Memory size1.4 KiB
2023-12-11T12:22:58.768266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.72
5-th percentile-1.6425
Q1-1.55
median-1.54
Q3-1.54
95-th percentile-1.52
Maximum-1.51
Range0.21
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.039841177
Coefficient of variation (CV)-0.025638823
Kurtosis9.0496177
Mean-1.5539394
Median Absolute Deviation (MAD)0.01
Skewness-2.9599555
Sum-102.56
Variance0.0015873193
MonotonicityNot monotonic
2023-12-11T12:22:58.885002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
-1.54 25
 
17.4%
-1.55 20
 
13.9%
-1.53 5
 
3.5%
-1.56 3
 
2.1%
-1.52 3
 
2.1%
-1.51 2
 
1.4%
-1.72 1
 
0.7%
-1.71 1
 
0.7%
-1.69 1
 
0.7%
-1.65 1
 
0.7%
Other values (4) 4
 
2.8%
(Missing) 78
54.2%
ValueCountFrequency (%)
-1.72 1
 
0.7%
-1.71 1
 
0.7%
-1.69 1
 
0.7%
-1.65 1
 
0.7%
-1.62 1
 
0.7%
-1.6 1
 
0.7%
-1.59 1
 
0.7%
-1.57 1
 
0.7%
-1.56 3
 
2.1%
-1.55 20
13.9%
ValueCountFrequency (%)
-1.51 2
 
1.4%
-1.52 3
 
2.1%
-1.53 5
 
3.5%
-1.54 25
17.4%
-1.55 20
13.9%
-1.56 3
 
2.1%
-1.57 1
 
0.7%
-1.59 1
 
0.7%
-1.6 1
 
0.7%
-1.62 1
 
0.7%

2016-11-03
Real number (ℝ)

Distinct25
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5655556
Minimum-1.8
Maximum-1.51
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:59.055303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.8
5-th percentile-1.74
Q1-1.55
median-1.54
Q3-1.52
95-th percentile-1.52
Maximum-1.51
Range0.29
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.073349225
Coefficient of variation (CV)-0.046851882
Kurtosis2.6537212
Mean-1.5655556
Median Absolute Deviation (MAD)0.01
Skewness-1.9710859
Sum-225.44
Variance0.0053801088
MonotonicityNot monotonic
2023-12-11T12:22:59.182822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
-1.52 34
23.6%
-1.54 31
21.5%
-1.53 25
17.4%
-1.55 17
11.8%
-1.51 5
 
3.5%
-1.57 3
 
2.1%
-1.58 3
 
2.1%
-1.74 3
 
2.1%
-1.8 2
 
1.4%
-1.73 2
 
1.4%
Other values (15) 19
13.2%
ValueCountFrequency (%)
-1.8 2
1.4%
-1.79 2
1.4%
-1.77 1
 
0.7%
-1.76 2
1.4%
-1.74 3
2.1%
-1.73 2
1.4%
-1.72 1
 
0.7%
-1.71 2
1.4%
-1.7 1
 
0.7%
-1.69 1
 
0.7%
ValueCountFrequency (%)
-1.51 5
 
3.5%
-1.52 34
23.6%
-1.53 25
17.4%
-1.54 31
21.5%
-1.55 17
11.8%
-1.57 3
 
2.1%
-1.58 3
 
2.1%
-1.6 2
 
1.4%
-1.61 1
 
0.7%
-1.63 1
 
0.7%

2016-11-04
Real number (ℝ)

Distinct23
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5408333
Minimum-1.74
Maximum-1.5
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:59.350784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.74
5-th percentile-1.69
Q1-1.53
median-1.515
Q3-1.51
95-th percentile-1.51
Maximum-1.5
Range0.24
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.0595026
Coefficient of variation (CV)-0.038617155
Kurtosis3.1265484
Mean-1.5408333
Median Absolute Deviation (MAD)0.005
Skewness-2.1085465
Sum-221.88
Variance0.0035405594
MonotonicityNot monotonic
2023-12-11T12:22:59.492129image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
-1.51 70
48.6%
-1.52 33
22.9%
-1.53 6
 
4.2%
-1.55 6
 
4.2%
-1.54 3
 
2.1%
-1.69 3
 
2.1%
-1.5 2
 
1.4%
-1.58 2
 
1.4%
-1.66 2
 
1.4%
-1.73 2
 
1.4%
Other values (13) 15
 
10.4%
ValueCountFrequency (%)
-1.74 1
 
0.7%
-1.73 2
1.4%
-1.72 1
 
0.7%
-1.71 1
 
0.7%
-1.7 2
1.4%
-1.69 3
2.1%
-1.68 2
1.4%
-1.67 1
 
0.7%
-1.66 2
1.4%
-1.65 1
 
0.7%
ValueCountFrequency (%)
-1.5 2
 
1.4%
-1.51 70
48.6%
-1.52 33
22.9%
-1.53 6
 
4.2%
-1.54 3
 
2.1%
-1.55 6
 
4.2%
-1.56 1
 
0.7%
-1.58 2
 
1.4%
-1.6 1
 
0.7%
-1.61 1
 
0.7%

2016-11-05
Real number (ℝ)

Distinct20
Distinct (%)13.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5418056
Minimum-1.71
Maximum-1.51
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:59.612631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.71
5-th percentile-1.6785
Q1-1.54
median-1.525
Q3-1.51
95-th percentile-1.51
Maximum-1.51
Range0.2
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.051693729
Coefficient of variation (CV)-0.033528047
Kurtosis3.3275252
Mean-1.5418056
Median Absolute Deviation (MAD)0.015
Skewness-2.0878101
Sum-222.02
Variance0.0026722416
MonotonicityNot monotonic
2023-12-11T12:22:59.746665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
-1.51 59
41.0%
-1.53 34
23.6%
-1.52 13
 
9.0%
-1.55 7
 
4.9%
-1.54 5
 
3.5%
-1.56 3
 
2.1%
-1.71 3
 
2.1%
-1.7 2
 
1.4%
-1.58 2
 
1.4%
-1.6 2
 
1.4%
Other values (10) 14
 
9.7%
ValueCountFrequency (%)
-1.71 3
2.1%
-1.7 2
1.4%
-1.69 1
 
0.7%
-1.68 2
1.4%
-1.67 2
1.4%
-1.66 2
1.4%
-1.65 1
 
0.7%
-1.64 1
 
0.7%
-1.63 1
 
0.7%
-1.62 2
1.4%
ValueCountFrequency (%)
-1.51 59
41.0%
-1.52 13
 
9.0%
-1.53 34
23.6%
-1.54 5
 
3.5%
-1.55 7
 
4.9%
-1.56 3
 
2.1%
-1.57 1
 
0.7%
-1.58 2
 
1.4%
-1.59 1
 
0.7%
-1.6 2
 
1.4%

2016-11-06
Real number (ℝ)

Distinct12
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5601389
Minimum-1.62
Maximum-1.51
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:22:59.912138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.62
5-th percentile-1.61
Q1-1.6
median-1.54
Q3-1.52
95-th percentile-1.52
Maximum-1.51
Range0.11
Interquartile range (IQR)0.08

Descriptive statistics

Standard deviation0.040365223
Coefficient of variation (CV)-0.025872839
Kurtosis-1.8888548
Mean-1.5601389
Median Absolute Deviation (MAD)0.02
Skewness-0.1178429
Sum-224.66
Variance0.0016293512
MonotonicityNot monotonic
2023-12-11T12:23:00.027197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-1.52 57
39.6%
-1.6 38
26.4%
-1.61 18
 
12.5%
-1.53 11
 
7.6%
-1.59 7
 
4.9%
-1.51 3
 
2.1%
-1.62 3
 
2.1%
-1.54 2
 
1.4%
-1.55 2
 
1.4%
-1.56 1
 
0.7%
Other values (2) 2
 
1.4%
ValueCountFrequency (%)
-1.62 3
 
2.1%
-1.61 18
12.5%
-1.6 38
26.4%
-1.59 7
 
4.9%
-1.58 1
 
0.7%
-1.57 1
 
0.7%
-1.56 1
 
0.7%
-1.55 2
 
1.4%
-1.54 2
 
1.4%
-1.53 11
 
7.6%
ValueCountFrequency (%)
-1.51 3
 
2.1%
-1.52 57
39.6%
-1.53 11
 
7.6%
-1.54 2
 
1.4%
-1.55 2
 
1.4%
-1.56 1
 
0.7%
-1.57 1
 
0.7%
-1.58 1
 
0.7%
-1.59 7
 
4.9%
-1.6 38
26.4%

2016-11-07
Categorical

Distinct5
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.59
66 
-1.6
64 
-1.61
 
5
-1.62
 
5
-1.63
 
4

Length

Max length5
Median length5
Mean length4.5555556
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.59
2nd row-1.6
3rd row-1.59
4th row-1.59
5th row-1.59

Common Values

ValueCountFrequency (%)
-1.59 66
45.8%
-1.6 64
44.4%
-1.61 5
 
3.5%
-1.62 5
 
3.5%
-1.63 4
 
2.8%

Length

2023-12-11T12:23:00.159372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:23:00.272826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.59 66
45.8%
1.6 64
44.4%
1.61 5
 
3.5%
1.62 5
 
3.5%
1.63 4
 
2.8%

2016-11-08
Real number (ℝ)

Distinct6
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.6
Minimum-1.63
Maximum-1.58
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:23:00.373743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.63
5-th percentile-1.62
Q1-1.61
median-1.6
Q3-1.59
95-th percentile-1.59
Maximum-1.58
Range0.05
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.01037749
Coefficient of variation (CV)-0.0064859315
Kurtosis0.39446099
Mean-1.6
Median Absolute Deviation (MAD)0.01
Skewness-0.6472339
Sum-230.4
Variance0.00010769231
MonotonicityNot monotonic
2023-12-11T12:23:00.485514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-1.6 49
34.0%
-1.59 48
33.3%
-1.61 34
23.6%
-1.62 5
 
3.5%
-1.63 4
 
2.8%
-1.58 4
 
2.8%
ValueCountFrequency (%)
-1.63 4
 
2.8%
-1.62 5
 
3.5%
-1.61 34
23.6%
-1.6 49
34.0%
-1.59 48
33.3%
-1.58 4
 
2.8%
ValueCountFrequency (%)
-1.58 4
 
2.8%
-1.59 48
33.3%
-1.6 49
34.0%
-1.61 34
23.6%
-1.62 5
 
3.5%
-1.63 4
 
2.8%

2016-11-09
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.58
87 
-1.57
27 
<NA>
25 
-1.59
 
5

Length

Max length5
Median length5
Mean length4.8263889
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.59
2nd row-1.58
3rd row-1.58
4th row-1.58
5th row-1.58

Common Values

ValueCountFrequency (%)
-1.58 87
60.4%
-1.57 27
 
18.8%
<NA> 25
 
17.4%
-1.59 5
 
3.5%

Length

2023-12-11T12:23:00.620682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:23:00.740498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.58 87
60.4%
1.57 27
 
18.8%
na 25
 
17.4%
1.59 5
 
3.5%

2016-11-10
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.57
64 
-1.56
40 
<NA>
33 
-1.58

Length

Max length5
Median length5
Mean length4.7708333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.57
2nd row-1.57
3rd row-1.57
4th row-1.57
5th row-1.57

Common Values

ValueCountFrequency (%)
-1.57 64
44.4%
-1.56 40
27.8%
<NA> 33
22.9%
-1.58 7
 
4.9%

Length

2023-12-11T12:23:00.874832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:23:01.008252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.57 64
44.4%
1.56 40
27.8%
na 33
22.9%
1.58 7
 
4.9%

2016-11-11
Categorical

Distinct5
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.56
77 
-1.57
33 
-1.55
19 
-1.58
10 
-1.54
 
5

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.56
2nd row-1.56
3rd row-1.56
4th row-1.56
5th row-1.56

Common Values

ValueCountFrequency (%)
-1.56 77
53.5%
-1.57 33
22.9%
-1.55 19
 
13.2%
-1.58 10
 
6.9%
-1.54 5
 
3.5%

Length

2023-12-11T12:23:01.147912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:23:01.315125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.56 77
53.5%
1.57 33
22.9%
1.55 19
 
13.2%
1.58 10
 
6.9%
1.54 5
 
3.5%

2016-11-12
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
96 
-1.54
24 
-1.55
24 

Length

Max length5
Median length4
Mean length4.3333333
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.54
2nd row-1.54
3rd row-1.54
4th row-1.54
5th row-1.54

Common Values

ValueCountFrequency (%)
<NA> 96
66.7%
-1.54 24
 
16.7%
-1.55 24
 
16.7%

Length

2023-12-11T12:23:01.464549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:23:01.567649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 96
66.7%
1.54 24
 
16.7%
1.55 24
 
16.7%

2016-11-13
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
82 
-1.54
42 
-1.53
20 

Length

Max length5
Median length4
Mean length4.4305556
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 82
56.9%
-1.54 42
29.2%
-1.53 20
 
13.9%

Length

2023-12-11T12:23:01.684604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:23:01.797786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 82
56.9%
1.54 42
29.2%
1.53 20
 
13.9%

2016-11-14
Real number (ℝ)

Distinct25
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5659028
Minimum-1.81
Maximum-1.51
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:23:01.934953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.81
5-th percentile-1.75
Q1-1.54
median-1.54
Q3-1.53
95-th percentile-1.52
Maximum-1.51
Range0.3
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.072877071
Coefficient of variation (CV)-0.046539971
Kurtosis3.0555676
Mean-1.5659028
Median Absolute Deviation (MAD)0.01
Skewness-2.0809441
Sum-225.49
Variance0.0053110674
MonotonicityNot monotonic
2023-12-11T12:23:02.095074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
-1.53 53
36.8%
-1.54 42
29.2%
-1.52 11
 
7.6%
-1.59 4
 
2.8%
-1.55 3
 
2.1%
-1.56 3
 
2.1%
-1.51 3
 
2.1%
-1.78 2
 
1.4%
-1.75 2
 
1.4%
-1.74 2
 
1.4%
Other values (15) 19
 
13.2%
ValueCountFrequency (%)
-1.81 1
0.7%
-1.8 1
0.7%
-1.79 1
0.7%
-1.78 2
1.4%
-1.77 1
0.7%
-1.76 1
0.7%
-1.75 2
1.4%
-1.74 2
1.4%
-1.73 1
0.7%
-1.72 1
0.7%
ValueCountFrequency (%)
-1.51 3
 
2.1%
-1.52 11
 
7.6%
-1.53 53
36.8%
-1.54 42
29.2%
-1.55 3
 
2.1%
-1.56 3
 
2.1%
-1.59 4
 
2.8%
-1.6 2
 
1.4%
-1.62 1
 
0.7%
-1.63 2
 
1.4%

2016-11-15
Real number (ℝ)

Distinct29
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5709028
Minimum-1.87
Maximum-1.5
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:23:02.252731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.87
5-th percentile-1.807
Q1-1.55
median-1.54
Q3-1.52
95-th percentile-1.51
Maximum-1.5
Range0.37
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.090799966
Coefficient of variation (CV)-0.057801137
Kurtosis3.0166792
Mean-1.5709028
Median Absolute Deviation (MAD)0.02
Skewness-2.0627321
Sum-226.21
Variance0.0082446338
MonotonicityNot monotonic
2023-12-11T12:23:02.382560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
-1.54 35
24.3%
-1.52 34
23.6%
-1.53 28
19.4%
-1.51 8
 
5.6%
-1.55 5
 
3.5%
-1.56 3
 
2.1%
-1.59 2
 
1.4%
-1.62 2
 
1.4%
-1.61 2
 
1.4%
-1.64 2
 
1.4%
Other values (19) 23
16.0%
ValueCountFrequency (%)
-1.87 1
0.7%
-1.86 2
1.4%
-1.84 1
0.7%
-1.83 2
1.4%
-1.82 1
0.7%
-1.81 1
0.7%
-1.79 2
1.4%
-1.77 2
1.4%
-1.76 1
0.7%
-1.75 1
0.7%
ValueCountFrequency (%)
-1.5 1
 
0.7%
-1.51 8
 
5.6%
-1.52 34
23.6%
-1.53 28
19.4%
-1.54 35
24.3%
-1.55 5
 
3.5%
-1.56 3
 
2.1%
-1.58 1
 
0.7%
-1.59 2
 
1.4%
-1.61 2
 
1.4%

2016-11-16
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)23.5%
Missing29
Missing (%)20.1%
Infinite0
Infinite (%)0.0%
Mean-1.5546087
Minimum-1.84
Maximum-1.51
Zeros0
Zeros (%)0.0%
Negative115
Negative (%)79.9%
Memory size1.4 KiB
2023-12-11T12:23:02.548862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.84
5-th percentile-1.753
Q1-1.55
median-1.53
Q3-1.51
95-th percentile-1.51
Maximum-1.51
Range0.33
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.077054173
Coefficient of variation (CV)-0.049564995
Kurtosis4.3966856
Mean-1.5546087
Median Absolute Deviation (MAD)0.02
Skewness-2.2603467
Sum-178.78
Variance0.0059373455
MonotonicityNot monotonic
2023-12-11T12:23:02.719762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
-1.51 50
34.7%
-1.53 15
 
10.4%
-1.54 12
 
8.3%
-1.52 7
 
4.9%
-1.57 5
 
3.5%
-1.55 4
 
2.8%
-1.6 2
 
1.4%
-1.81 1
 
0.7%
-1.56 1
 
0.7%
-1.62 1
 
0.7%
Other values (17) 17
 
11.8%
(Missing) 29
20.1%
ValueCountFrequency (%)
-1.84 1
0.7%
-1.83 1
0.7%
-1.81 1
0.7%
-1.79 1
0.7%
-1.78 1
0.7%
-1.76 1
0.7%
-1.75 1
0.7%
-1.73 1
0.7%
-1.71 1
0.7%
-1.7 1
0.7%
ValueCountFrequency (%)
-1.51 50
34.7%
-1.52 7
 
4.9%
-1.53 15
 
10.4%
-1.54 12
 
8.3%
-1.55 4
 
2.8%
-1.56 1
 
0.7%
-1.57 5
 
3.5%
-1.58 1
 
0.7%
-1.59 1
 
0.7%
-1.6 2
 
1.4%

2016-11-17
Real number (ℝ)

MISSING 

Distinct27
Distinct (%)32.5%
Missing61
Missing (%)42.4%
Infinite0
Infinite (%)0.0%
Mean-1.5839759
Minimum-1.87
Maximum-1.51
Zeros0
Zeros (%)0.0%
Negative83
Negative (%)57.6%
Memory size1.4 KiB
2023-12-11T12:23:02.887045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.87
5-th percentile-1.809
Q1-1.6
median-1.54
Q3-1.53
95-th percentile-1.52
Maximum-1.51
Range0.36
Interquartile range (IQR)0.07

Descriptive statistics

Standard deviation0.091157058
Coefficient of variation (CV)-0.057549523
Kurtosis2.23949
Mean-1.5839759
Median Absolute Deviation (MAD)0.01
Skewness-1.822675
Sum-131.47
Variance0.0083096092
MonotonicityNot monotonic
2023-12-11T12:23:03.076532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
-1.54 28
19.4%
-1.53 15
 
10.4%
-1.52 9
 
6.2%
-1.6 3
 
2.1%
-1.56 3
 
2.1%
-1.63 2
 
1.4%
-1.57 2
 
1.4%
-1.58 2
 
1.4%
-1.85 1
 
0.7%
-1.51 1
 
0.7%
Other values (17) 17
 
11.8%
(Missing) 61
42.4%
ValueCountFrequency (%)
-1.87 1
0.7%
-1.85 1
0.7%
-1.84 1
0.7%
-1.82 1
0.7%
-1.81 1
0.7%
-1.8 1
0.7%
-1.78 1
0.7%
-1.76 1
0.7%
-1.74 1
0.7%
-1.72 1
0.7%
ValueCountFrequency (%)
-1.51 1
 
0.7%
-1.52 9
 
6.2%
-1.53 15
10.4%
-1.54 28
19.4%
-1.55 1
 
0.7%
-1.56 3
 
2.1%
-1.57 2
 
1.4%
-1.58 2
 
1.4%
-1.6 3
 
2.1%
-1.61 1
 
0.7%

2016-11-18
Real number (ℝ)

MISSING 

Distinct32
Distinct (%)45.1%
Missing73
Missing (%)50.7%
Infinite0
Infinite (%)0.0%
Mean-1.6401408
Minimum-1.89
Maximum-1.52
Zeros0
Zeros (%)0.0%
Negative71
Negative (%)49.3%
Memory size1.4 KiB
2023-12-11T12:23:03.297448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.89
5-th percentile-1.875
Q1-1.75
median-1.58
Q3-1.54
95-th percentile-1.53
Maximum-1.52
Range0.37
Interquartile range (IQR)0.21

Descriptive statistics

Standard deviation0.12266671
Coefficient of variation (CV)-0.074790354
Kurtosis-0.82307807
Mean-1.6401408
Median Absolute Deviation (MAD)0.04
Skewness-0.85189226
Sum-116.45
Variance0.015047123
MonotonicityNot monotonic
2023-12-11T12:23:03.526738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
-1.54 20
 
13.9%
-1.58 5
 
3.5%
-1.56 4
 
2.8%
-1.53 4
 
2.8%
-1.89 3
 
2.1%
-1.52 2
 
1.4%
-1.76 2
 
1.4%
-1.57 2
 
1.4%
-1.55 2
 
1.4%
-1.82 2
 
1.4%
Other values (22) 25
 
17.4%
(Missing) 73
50.7%
ValueCountFrequency (%)
-1.89 3
2.1%
-1.88 1
 
0.7%
-1.87 1
 
0.7%
-1.86 1
 
0.7%
-1.85 1
 
0.7%
-1.84 1
 
0.7%
-1.83 1
 
0.7%
-1.82 2
1.4%
-1.8 2
1.4%
-1.79 1
 
0.7%
ValueCountFrequency (%)
-1.52 2
 
1.4%
-1.53 4
 
2.8%
-1.54 20
13.9%
-1.55 2
 
1.4%
-1.56 4
 
2.8%
-1.57 2
 
1.4%
-1.58 5
 
3.5%
-1.59 1
 
0.7%
-1.6 2
 
1.4%
-1.62 1
 
0.7%

2016-11-19
Real number (ℝ)

MISSING 

Distinct21
Distinct (%)23.6%
Missing55
Missing (%)38.2%
Infinite0
Infinite (%)0.0%
Mean-1.6125843
Minimum-1.77
Maximum-1.53
Zeros0
Zeros (%)0.0%
Negative89
Negative (%)61.8%
Memory size1.4 KiB
2023-12-11T12:23:03.723136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.77
5-th percentile-1.752
Q1-1.63
median-1.59
Q3-1.58
95-th percentile-1.53
Maximum-1.53
Range0.24
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.062822406
Coefficient of variation (CV)-0.038957596
Kurtosis0.44901787
Mean-1.6125843
Median Absolute Deviation (MAD)0.02
Skewness-1.0813287
Sum-143.52
Variance0.0039466547
MonotonicityNot monotonic
2023-12-11T12:23:03.876492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
-1.59 23
16.0%
-1.58 14
 
9.7%
-1.53 9
 
6.2%
-1.61 5
 
3.5%
-1.63 4
 
2.8%
-1.57 4
 
2.8%
-1.56 3
 
2.1%
-1.62 3
 
2.1%
-1.68 3
 
2.1%
-1.77 3
 
2.1%
Other values (11) 18
 
12.5%
(Missing) 55
38.2%
ValueCountFrequency (%)
-1.77 3
2.1%
-1.76 2
1.4%
-1.74 2
1.4%
-1.73 1
 
0.7%
-1.72 1
 
0.7%
-1.71 2
1.4%
-1.7 2
1.4%
-1.69 1
 
0.7%
-1.68 3
2.1%
-1.66 2
1.4%
ValueCountFrequency (%)
-1.53 9
 
6.2%
-1.54 1
 
0.7%
-1.56 3
 
2.1%
-1.57 4
 
2.8%
-1.58 14
9.7%
-1.59 23
16.0%
-1.6 2
 
1.4%
-1.61 5
 
3.5%
-1.62 3
 
2.1%
-1.63 4
 
2.8%

2016-11-20
Real number (ℝ)

MISSING 

Distinct18
Distinct (%)28.1%
Missing80
Missing (%)55.6%
Infinite0
Infinite (%)0.0%
Mean-1.6471875
Minimum-1.8
Maximum-1.59
Zeros0
Zeros (%)0.0%
Negative64
Negative (%)44.4%
Memory size1.4 KiB
2023-12-11T12:23:03.993330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.8
5-th percentile-1.7985
Q1-1.655
median-1.61
Q3-1.6075
95-th percentile-1.6
Maximum-1.59
Range0.21
Interquartile range (IQR)0.0475

Descriptive statistics

Standard deviation0.068717705
Coefficient of variation (CV)-0.041718205
Kurtosis0.22797605
Mean-1.6471875
Median Absolute Deviation (MAD)0.01
Skewness-1.3644313
Sum-105.42
Variance0.004722123
MonotonicityNot monotonic
2023-12-11T12:23:04.197017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-1.61 21
 
14.6%
-1.6 13
 
9.0%
-1.62 5
 
3.5%
-1.8 4
 
2.8%
-1.63 4
 
2.8%
-1.59 3
 
2.1%
-1.79 2
 
1.4%
-1.77 2
 
1.4%
-1.67 1
 
0.7%
-1.64 1
 
0.7%
Other values (8) 8
 
5.6%
(Missing) 80
55.6%
ValueCountFrequency (%)
-1.8 4
2.8%
-1.79 2
1.4%
-1.78 1
 
0.7%
-1.77 2
1.4%
-1.76 1
 
0.7%
-1.75 1
 
0.7%
-1.74 1
 
0.7%
-1.72 1
 
0.7%
-1.71 1
 
0.7%
-1.68 1
 
0.7%
ValueCountFrequency (%)
-1.59 3
 
2.1%
-1.6 13
9.0%
-1.61 21
14.6%
-1.62 5
 
3.5%
-1.63 4
 
2.8%
-1.64 1
 
0.7%
-1.65 1
 
0.7%
-1.67 1
 
0.7%
-1.68 1
 
0.7%
-1.71 1
 
0.7%

2016-11-21
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.6
110 
-1.61
19 
-1.59
15 

Length

Max length5
Median length4
Mean length4.2361111
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.61
2nd row-1.61
3rd row-1.61
4th row-1.61
5th row-1.61

Common Values

ValueCountFrequency (%)
-1.6 110
76.4%
-1.61 19
 
13.2%
-1.59 15
 
10.4%

Length

2023-12-11T12:23:04.349801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:23:04.486668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.6 110
76.4%
1.61 19
 
13.2%
1.59 15
 
10.4%

2016-11-22
Categorical

Distinct5
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.61
63 
-1.62
39 
-1.6
34 
-1.63
-1.59
 
1

Length

Max length5
Median length5
Mean length4.7638889
Min length4

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row-1.6
2nd row-1.6
3rd row-1.6
4th row-1.6
5th row-1.6

Common Values

ValueCountFrequency (%)
-1.61 63
43.8%
-1.62 39
27.1%
-1.6 34
23.6%
-1.63 7
 
4.9%
-1.59 1
 
0.7%

Length

2023-12-11T12:23:04.636467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:23:04.765398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.61 63
43.8%
1.62 39
27.1%
1.6 34
23.6%
1.63 7
 
4.9%
1.59 1
 
0.7%

2016-11-23
Categorical

Distinct5
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.6
48 
-1.59
43 
<NA>
28 
-1.61
18 
-1.58

Length

Max length5
Median length4
Mean length4.4722222
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.6
2nd row-1.6
3rd row-1.6
4th row-1.6
5th row-1.6

Common Values

ValueCountFrequency (%)
-1.6 48
33.3%
-1.59 43
29.9%
<NA> 28
19.4%
-1.61 18
 
12.5%
-1.58 7
 
4.9%

Length

2023-12-11T12:23:04.907994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:23:05.067012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.6 48
33.3%
1.59 43
29.9%
na 28
19.4%
1.61 18
 
12.5%
1.58 7
 
4.9%

2016-11-24
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
<NA>
63 
-1.59
40 
-1.58
39 
-1.6
 
2

Length

Max length5
Median length5
Mean length4.5486111
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.6
2nd row-1.6
3rd row-1.59
4th row-1.59
5th row-1.59

Common Values

ValueCountFrequency (%)
<NA> 63
43.8%
-1.59 40
27.8%
-1.58 39
27.1%
-1.6 2
 
1.4%

Length

2023-12-11T12:23:05.214607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:23:05.331906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 63
43.8%
1.59 40
27.8%
1.58 39
27.1%
1.6 2
 
1.4%

2016-11-25
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.58
68 
<NA>
55 
-1.59
20 
-1.57
 
1

Length

Max length5
Median length5
Mean length4.6180556
Min length4

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
-1.58 68
47.2%
<NA> 55
38.2%
-1.59 20
 
13.9%
-1.57 1
 
0.7%

Length

2023-12-11T12:23:05.494823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:23:05.640866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.58 68
47.2%
na 55
38.2%
1.59 20
 
13.9%
1.57 1
 
0.7%

2016-11-26
Categorical

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.57
112 
-1.56
25 
-1.58
 
7

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row-1.57
2nd row-1.57
3rd row-1.57
4th row-1.57
5th row-1.57

Common Values

ValueCountFrequency (%)
-1.57 112
77.8%
-1.56 25
 
17.4%
-1.58 7
 
4.9%

Length

2023-12-11T12:23:05.811256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:23:05.953259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.57 112
77.8%
1.56 25
 
17.4%
1.58 7
 
4.9%

2016-11-27
Categorical

Distinct4
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
-1.57
87 
-1.56
39 
-1.58
17 
-1.59
 
1

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row-1.56
2nd row-1.56
3rd row-1.56
4th row-1.57
5th row-1.57

Common Values

ValueCountFrequency (%)
-1.57 87
60.4%
-1.56 39
27.1%
-1.58 17
 
11.8%
-1.59 1
 
0.7%

Length

2023-12-11T12:23:06.092436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T12:23:06.240921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1.57 87
60.4%
1.56 39
27.1%
1.58 17
 
11.8%
1.59 1
 
0.7%

2016-11-28
Real number (ℝ)

Distinct26
Distinct (%)18.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5810417
Minimum-1.81
Maximum-1.51
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:23:06.363789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.81
5-th percentile-1.7785
Q1-1.5825
median-1.56
Q3-1.53
95-th percentile-1.53
Maximum-1.51
Range0.3
Interquartile range (IQR)0.0525

Descriptive statistics

Standard deviation0.074192329
Coefficient of variation (CV)-0.046926233
Kurtosis2.5658634
Mean-1.5810417
Median Absolute Deviation (MAD)0.03
Skewness-1.8733294
Sum-227.67
Variance0.0055045017
MonotonicityNot monotonic
2023-12-11T12:23:06.530304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
-1.53 35
24.3%
-1.54 22
15.3%
-1.57 19
13.2%
-1.56 12
 
8.3%
-1.58 8
 
5.6%
-1.59 6
 
4.2%
-1.52 6
 
4.2%
-1.55 5
 
3.5%
-1.6 4
 
2.8%
-1.62 3
 
2.1%
Other values (16) 24
16.7%
ValueCountFrequency (%)
-1.81 3
2.1%
-1.8 1
 
0.7%
-1.79 2
1.4%
-1.78 2
1.4%
-1.77 1
 
0.7%
-1.76 1
 
0.7%
-1.74 2
1.4%
-1.73 2
1.4%
-1.71 2
1.4%
-1.69 1
 
0.7%
ValueCountFrequency (%)
-1.51 1
 
0.7%
-1.52 6
 
4.2%
-1.53 35
24.3%
-1.54 22
15.3%
-1.55 5
 
3.5%
-1.56 12
 
8.3%
-1.57 19
13.2%
-1.58 8
 
5.6%
-1.59 6
 
4.2%
-1.6 4
 
2.8%

2016-11-29
Real number (ℝ)

Distinct21
Distinct (%)14.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5486806
Minimum-1.76
Maximum-1.51
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:23:06.674461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.76
5-th percentile-1.727
Q1-1.53
median-1.52
Q3-1.52
95-th percentile-1.51
Maximum-1.51
Range0.25
Interquartile range (IQR)0.01

Descriptive statistics

Standard deviation0.064115788
Coefficient of variation (CV)-0.041400267
Kurtosis4.0145155
Mean-1.5486806
Median Absolute Deviation (MAD)0
Skewness-2.2853704
Sum-223.01
Variance0.0041108343
MonotonicityNot monotonic
2023-12-11T12:23:07.178620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
-1.52 85
59.0%
-1.53 20
 
13.9%
-1.51 9
 
6.2%
-1.76 4
 
2.8%
-1.55 3
 
2.1%
-1.6 3
 
2.1%
-1.69 2
 
1.4%
-1.75 2
 
1.4%
-1.73 2
 
1.4%
-1.63 2
 
1.4%
Other values (11) 12
 
8.3%
ValueCountFrequency (%)
-1.76 4
2.8%
-1.75 2
1.4%
-1.73 2
1.4%
-1.71 1
 
0.7%
-1.7 1
 
0.7%
-1.69 2
1.4%
-1.68 1
 
0.7%
-1.67 1
 
0.7%
-1.66 1
 
0.7%
-1.65 1
 
0.7%
ValueCountFrequency (%)
-1.51 9
 
6.2%
-1.52 85
59.0%
-1.53 20
 
13.9%
-1.54 1
 
0.7%
-1.55 3
 
2.1%
-1.57 2
 
1.4%
-1.58 1
 
0.7%
-1.59 1
 
0.7%
-1.6 3
 
2.1%
-1.61 1
 
0.7%

2016-11-30
Real number (ℝ)

Distinct22
Distinct (%)15.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5533333
Minimum-1.79
Maximum-1.51
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:23:07.330956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.79
5-th percentile-1.7485
Q1-1.53
median-1.52
Q3-1.51
95-th percentile-1.51
Maximum-1.51
Range0.28
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.072988168
Coefficient of variation (CV)-0.046988091
Kurtosis3.2230284
Mean-1.5533333
Median Absolute Deviation (MAD)0.01
Skewness-2.1108224
Sum-223.68
Variance0.0053272727
MonotonicityNot monotonic
2023-12-11T12:23:07.513414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
-1.52 38
26.4%
-1.51 37
25.7%
-1.53 34
23.6%
-1.55 4
 
2.8%
-1.59 3
 
2.1%
-1.71 2
 
1.4%
-1.56 2
 
1.4%
-1.79 2
 
1.4%
-1.78 2
 
1.4%
-1.75 2
 
1.4%
Other values (12) 18
12.5%
ValueCountFrequency (%)
-1.79 2
1.4%
-1.78 2
1.4%
-1.77 1
0.7%
-1.76 1
0.7%
-1.75 2
1.4%
-1.74 1
0.7%
-1.73 2
1.4%
-1.71 2
1.4%
-1.69 2
1.4%
-1.67 2
1.4%
ValueCountFrequency (%)
-1.51 37
25.7%
-1.52 38
26.4%
-1.53 34
23.6%
-1.54 1
 
0.7%
-1.55 4
 
2.8%
-1.56 2
 
1.4%
-1.57 1
 
0.7%
-1.58 2
 
1.4%
-1.59 3
 
2.1%
-1.61 2
 
1.4%

2016-12-01
Real number (ℝ)

Distinct27
Distinct (%)18.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.591875
Minimum-1.85
Maximum-1.53
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:23:07.653258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.85
5-th percentile-1.7985
Q1-1.6
median-1.56
Q3-1.54
95-th percentile-1.53
Maximum-1.53
Range0.32
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.083246779
Coefficient of variation (CV)-0.052294796
Kurtosis2.1513831
Mean-1.591875
Median Absolute Deviation (MAD)0.03
Skewness-1.7915855
Sum-229.23
Variance0.0069300262
MonotonicityNot monotonic
2023-12-11T12:23:07.787649image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
-1.53 32
22.2%
-1.57 24
16.7%
-1.54 18
12.5%
-1.56 18
12.5%
-1.55 7
 
4.9%
-1.59 5
 
3.5%
-1.61 5
 
3.5%
-1.6 4
 
2.8%
-1.58 3
 
2.1%
-1.8 2
 
1.4%
Other values (17) 26
18.1%
ValueCountFrequency (%)
-1.85 2
1.4%
-1.84 1
0.7%
-1.83 2
1.4%
-1.81 1
0.7%
-1.8 2
1.4%
-1.79 1
0.7%
-1.78 2
1.4%
-1.76 2
1.4%
-1.75 2
1.4%
-1.74 1
0.7%
ValueCountFrequency (%)
-1.53 32
22.2%
-1.54 18
12.5%
-1.55 7
 
4.9%
-1.56 18
12.5%
-1.57 24
16.7%
-1.58 3
 
2.1%
-1.59 5
 
3.5%
-1.6 4
 
2.8%
-1.61 5
 
3.5%
-1.63 2
 
1.4%

2016-12-02
Real number (ℝ)

Distinct25
Distinct (%)17.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.57625
Minimum-1.81
Maximum-1.52
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:23:07.936676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.81
5-th percentile-1.76
Q1-1.56
median-1.55
Q3-1.54
95-th percentile-1.53
Maximum-1.52
Range0.29
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.073044435
Coefficient of variation (CV)-0.046340641
Kurtosis2.8402271
Mean-1.57625
Median Absolute Deviation (MAD)0.01
Skewness-2.0190875
Sum-226.98
Variance0.0053354895
MonotonicityNot monotonic
2023-12-11T12:23:08.068267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
-1.55 42
29.2%
-1.53 27
18.8%
-1.54 26
18.1%
-1.56 13
 
9.0%
-1.52 4
 
2.8%
-1.61 3
 
2.1%
-1.6 3
 
2.1%
-1.57 2
 
1.4%
-1.81 2
 
1.4%
-1.79 2
 
1.4%
Other values (15) 20
13.9%
ValueCountFrequency (%)
-1.81 2
1.4%
-1.8 1
0.7%
-1.79 2
1.4%
-1.78 1
0.7%
-1.77 1
0.7%
-1.76 2
1.4%
-1.75 2
1.4%
-1.74 1
0.7%
-1.73 1
0.7%
-1.72 2
1.4%
ValueCountFrequency (%)
-1.52 4
 
2.8%
-1.53 27
18.8%
-1.54 26
18.1%
-1.55 42
29.2%
-1.56 13
 
9.0%
-1.57 2
 
1.4%
-1.58 1
 
0.7%
-1.6 3
 
2.1%
-1.61 3
 
2.1%
-1.63 1
 
0.7%

2016-12-03
Real number (ℝ)

Distinct28
Distinct (%)19.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.57375
Minimum-1.83
Maximum-1.52
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:23:08.263961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.83
5-th percentile-1.7785
Q1-1.57
median-1.54
Q3-1.53
95-th percentile-1.52
Maximum-1.52
Range0.31
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.082655871
Coefficient of variation (CV)-0.052521602
Kurtosis2.2560569
Mean-1.57375
Median Absolute Deviation (MAD)0.01
Skewness-1.8935483
Sum-226.62
Variance0.006831993
MonotonicityNot monotonic
2023-12-11T12:23:08.457546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=28)
ValueCountFrequency (%)
-1.53 43
29.9%
-1.54 34
23.6%
-1.52 21
14.6%
-1.55 6
 
4.2%
-1.57 4
 
2.8%
-1.56 3
 
2.1%
-1.6 3
 
2.1%
-1.82 2
 
1.4%
-1.81 2
 
1.4%
-1.78 2
 
1.4%
Other values (18) 24
16.7%
ValueCountFrequency (%)
-1.83 1
0.7%
-1.82 2
1.4%
-1.81 2
1.4%
-1.8 1
0.7%
-1.78 2
1.4%
-1.77 2
1.4%
-1.76 1
0.7%
-1.75 2
1.4%
-1.74 1
0.7%
-1.73 2
1.4%
ValueCountFrequency (%)
-1.52 21
14.6%
-1.53 43
29.9%
-1.54 34
23.6%
-1.55 6
 
4.2%
-1.56 3
 
2.1%
-1.57 4
 
2.8%
-1.58 2
 
1.4%
-1.59 2
 
1.4%
-1.6 3
 
2.1%
-1.62 1
 
0.7%

2016-12-04
Real number (ℝ)

Distinct23
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.5673611
Minimum-1.78
Maximum-1.53
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:23:08.657014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.78
5-th percentile-1.7385
Q1-1.55
median-1.54
Q3-1.53
95-th percentile-1.53
Maximum-1.53
Range0.25
Interquartile range (IQR)0.02

Descriptive statistics

Standard deviation0.066131741
Coefficient of variation (CV)-0.042193047
Kurtosis2.9322793
Mean-1.5673611
Median Absolute Deviation (MAD)0.01
Skewness-2.0558389
Sum-225.7
Variance0.0043734071
MonotonicityNot monotonic
2023-12-11T12:23:08.805789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
-1.54 57
39.6%
-1.53 46
31.9%
-1.55 6
 
4.2%
-1.58 3
 
2.1%
-1.72 3
 
2.1%
-1.57 3
 
2.1%
-1.67 2
 
1.4%
-1.74 2
 
1.4%
-1.78 2
 
1.4%
-1.69 2
 
1.4%
Other values (13) 18
 
12.5%
ValueCountFrequency (%)
-1.78 2
1.4%
-1.77 2
1.4%
-1.76 1
 
0.7%
-1.75 1
 
0.7%
-1.74 2
1.4%
-1.73 1
 
0.7%
-1.72 3
2.1%
-1.71 1
 
0.7%
-1.7 1
 
0.7%
-1.69 2
1.4%
ValueCountFrequency (%)
-1.53 46
31.9%
-1.54 57
39.6%
-1.55 6
 
4.2%
-1.56 2
 
1.4%
-1.57 3
 
2.1%
-1.58 3
 
2.1%
-1.59 2
 
1.4%
-1.6 2
 
1.4%
-1.61 1
 
0.7%
-1.63 1
 
0.7%

2016-12-05
Real number (ℝ)

Distinct18
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean-1.575
Minimum-1.75
Maximum-1.54
Zeros0
Zeros (%)0.0%
Negative144
Negative (%)100.0%
Memory size1.4 KiB
2023-12-11T12:23:08.946489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.75
5-th percentile-1.7085
Q1-1.59
median-1.55
Q3-1.54
95-th percentile-1.54
Maximum-1.54
Range0.21
Interquartile range (IQR)0.05

Descriptive statistics

Standard deviation0.05299426
Coefficient of variation (CV)-0.033647149
Kurtosis3.1802015
Mean-1.575
Median Absolute Deviation (MAD)0.01
Skewness-1.9509309
Sum-226.8
Variance0.0028083916
MonotonicityNot monotonic
2023-12-11T12:23:09.140655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
-1.54 69
47.9%
-1.58 19
 
13.2%
-1.59 12
 
8.3%
-1.56 8
 
5.6%
-1.55 6
 
4.2%
-1.57 5
 
3.5%
-1.61 3
 
2.1%
-1.74 3
 
2.1%
-1.6 3
 
2.1%
-1.62 2
 
1.4%
Other values (8) 14
 
9.7%
ValueCountFrequency (%)
-1.75 2
1.4%
-1.74 3
2.1%
-1.73 2
1.4%
-1.71 1
 
0.7%
-1.7 2
1.4%
-1.69 1
 
0.7%
-1.68 2
1.4%
-1.66 2
1.4%
-1.64 2
1.4%
-1.62 2
1.4%
ValueCountFrequency (%)
-1.54 69
47.9%
-1.55 6
 
4.2%
-1.56 8
 
5.6%
-1.57 5
 
3.5%
-1.58 19
 
13.2%
-1.59 12
 
8.3%
-1.6 3
 
2.1%
-1.61 3
 
2.1%
-1.62 2
 
1.4%
-1.64 2
 
1.4%

2016-12-06
Real number (ℝ)

MISSING 

Distinct6
Distinct (%)10.0%
Missing84
Missing (%)58.3%
Infinite0
Infinite (%)0.0%
Mean-1.5705
Minimum-1.6
Maximum-1.55
Zeros0
Zeros (%)0.0%
Negative60
Negative (%)41.7%
Memory size1.4 KiB
2023-12-11T12:23:09.284881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-1.6
5-th percentile-1.6
Q1-1.59
median-1.57
Q3-1.55
95-th percentile-1.55
Maximum-1.55
Range0.05
Interquartile range (IQR)0.04

Descriptive statistics

Standard deviation0.017507867
Coefficient of variation (CV)-0.011147958
Kurtosis-1.4151329
Mean-1.5705
Median Absolute Deviation (MAD)0.02
Skewness-0.21519203
Sum-94.23
Variance0.00030652542
MonotonicityNot monotonic
2023-12-11T12:23:09.418818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
-1.55 17
 
11.8%
-1.59 12
 
8.3%
-1.56 11
 
7.6%
-1.58 9
 
6.2%
-1.57 6
 
4.2%
-1.6 5
 
3.5%
(Missing) 84
58.3%
ValueCountFrequency (%)
-1.6 5
 
3.5%
-1.59 12
8.3%
-1.58 9
6.2%
-1.57 6
 
4.2%
-1.56 11
7.6%
-1.55 17
11.8%
ValueCountFrequency (%)
-1.55 17
11.8%
-1.56 11
7.6%
-1.57 6
 
4.2%
-1.58 9
6.2%
-1.59 12
8.3%
-1.6 5
 
3.5%

Sample

계측일자2016-01-012016-01-022016-01-032016-01-042016-01-052016-01-062016-01-072016-01-082016-01-092016-01-102016-01-112016-01-122016-01-132016-01-142016-01-152016-01-162016-01-172016-01-182016-01-192016-01-202016-01-212016-01-222016-01-232016-01-242016-01-252016-01-262016-01-272016-01-282016-01-292016-01-302016-01-312016-02-012016-02-022016-02-032016-02-042016-02-052016-02-062016-02-072016-02-082016-02-092016-02-102016-02-112016-02-122016-02-132016-02-142016-02-152016-02-162016-02-172016-02-182016-02-192016-02-202016-02-212016-02-222016-02-232016-02-242016-02-252016-02-262016-02-272016-02-282016-02-292016-03-012016-03-022016-03-032016-03-042016-03-052016-03-062016-03-072016-03-082016-03-092016-03-102016-03-112016-03-122016-03-132016-03-142016-03-152016-03-162016-03-172016-03-182016-03-192016-03-202016-03-212016-03-222016-03-232016-03-242016-03-252016-03-262016-03-272016-03-282016-03-292016-03-302016-03-312016-04-012016-04-022016-04-032016-04-042016-04-052016-04-062016-04-072016-04-082016-04-092016-04-102016-04-112016-04-122016-04-132016-04-142016-04-152016-04-162016-04-172016-04-182016-04-192016-04-202016-04-212016-04-222016-04-232016-04-242016-04-252016-04-262016-04-272016-04-282016-04-292016-04-302016-05-012016-05-022016-05-032016-05-042016-05-052016-05-062016-05-072016-05-082016-05-092016-05-102016-05-112016-05-122016-05-132016-05-142016-05-152016-05-162016-05-172016-05-182016-05-192016-05-202016-05-212016-05-222016-05-232016-05-242016-05-252016-05-262016-05-272016-05-282016-05-292016-05-302016-05-312016-06-012016-06-022016-06-032016-06-042016-06-052016-06-062016-06-072016-06-082016-06-092016-06-102016-06-112016-06-122016-06-132016-06-142016-06-152016-06-162016-06-172016-06-182016-06-192016-06-202016-06-212016-06-222016-06-232016-06-242016-06-252016-06-262016-06-272016-06-282016-06-292016-06-302016-07-012016-07-022016-07-032016-07-042016-07-052016-07-062016-07-072016-07-082016-07-092016-07-102016-07-112016-07-122016-07-132016-07-142016-07-152016-07-162016-07-172016-07-182016-07-192016-07-202016-07-212016-07-222016-07-232016-07-242016-07-252016-07-262016-07-272016-07-282016-07-292016-07-302016-07-312016-08-012016-08-022016-08-032016-08-042016-08-052016-08-062016-08-072016-08-082016-08-092016-08-102016-08-112016-08-122016-08-132016-08-142016-08-152016-08-162016-08-172016-08-182016-08-192016-08-202016-08-212016-08-222016-08-232016-08-242016-08-252016-08-262016-08-272016-08-282016-08-292016-08-302016-08-312016-09-012016-09-022016-09-032016-09-042016-09-052016-09-062016-09-072016-09-082016-09-092016-09-102016-09-112016-09-122016-09-132016-09-142016-09-152016-09-162016-09-172016-09-182016-09-192016-09-202016-09-212016-09-222016-09-232016-09-242016-09-252016-09-262016-09-272016-09-282016-09-292016-09-302016-10-012016-10-022016-10-032016-10-042016-10-052016-10-062016-10-072016-10-082016-10-092016-10-102016-10-112016-10-122016-10-132016-10-142016-10-152016-10-162016-10-172016-10-182016-10-192016-10-202016-10-212016-10-222016-10-232016-10-242016-10-252016-10-262016-10-272016-10-282016-10-292016-10-302016-10-312016-11-012016-11-022016-11-032016-11-042016-11-052016-11-062016-11-072016-11-082016-11-092016-11-102016-11-112016-11-122016-11-132016-11-142016-11-152016-11-162016-11-172016-11-182016-11-192016-11-202016-11-212016-11-222016-11-232016-11-242016-11-252016-11-262016-11-272016-11-282016-11-292016-11-302016-12-012016-12-022016-12-032016-12-042016-12-052016-12-06
000:00<NA>-1.62-1.61-1.6<NA>-1.59-1.58-1.57-1.56-1.56-1.55-1.55-1.56-1.54-1.87-1.53-1.51-1.6-1.67-1.58-1.56-1.55-1.54-1.61-1.51-1.53-1.53-1.86-1.56-1.52-1.57-1.53-1.5<NA>-1.48-1.47-1.46-1.45-1.44<NA>-1.43-1.42-1.76-1.85-1.82-1.53<NA>-1.56-1.53-1.52-1.5<NA><NA><NA>-1.54-1.85-1.88-1.78-1.53-1.54-1.6-1.57-1.57-1.55-1.53-1.5-1.36-1.32-1.58-1.83-1.87-1.53-1.53-1.54-1.6-1.58-1.57-1.55-1.53<NA>-1.51-1.65-1.88-1.79-1.78-1.53-1.51-1.52-1.61-1.61-1.6-1.59-1.59-1.58-1.57-1.58-1.57-1.48-1.7-1.79-1.88-1.52-1.76-1.54-1.59-1.57-1.54-1.51-1.43-1.41-1.38-1.57-1.63-1.73-1.71-1.59<NA>-1.5-1.55-1.48-1.44-1.42-1.41-1.33-1.3-1.25-1.24-1.54-1.82-1.49-1.72<NA>-1.65-1.62-1.58-1.55-1.54<NA><NA>-1.39-1.37-1.49-1.63<NA>-1.67-1.62-1.71<NA>-1.55-1.52<NA>-1.48-1.47-1.45-1.43-1.41-1.5-1.51-1.52-1.52-1.51-1.51-1.6-1.57-1.56-1.53-1.51-1.48-1.45-1.44-1.41-1.4-1.5-1.44-1.58-1.58-1.57-1.66-1.75-1.74-1.7-1.67-1.65-1.54-1.07-1.54-1.34-1.29-1.37-1.52-1.69-1.8-1.81-1.76-1.71-1.69-1.67-1.61-1.57-1.54-1.52-1.38-1.17<NA>-1.51-1.5-1.54-1.53-1.64-1.64-1.63-1.62-1.6-1.59-1.58<NA>-1.44-1.45-1.35<NA><NA>-1.65-1.64<NA><NA>-1.61<NA>-1.57-1.56<NA><NA>-1.49-1.4-1.57-1.53-1.49-1.52-1.61<NA>-1.7-1.45-1.44-1.45-1.48<NA><NA>-1.53<NA>-1.51-1.51<NA>-1.6<NA>-1.56-1.54-1.52-1.5-1.48-1.47-1.46-1.4-1.53-1.42-1.51-1.51-1.53-1.56-1.61-1.6-1.58-1.57-1.54-1.53-1.5-1.54-1.59-1.53-1.53-1.5-1.51-1.48-1.55-1.33-1.22-1.19-1.18-1.16-1.14-1.14-1.4-1.58-1.5-1.51-1.52-1.52-1.52-1.6-1.58-1.58-1.56-1.55-1.53-1.55-1.54-1.53-1.57<NA>-1.55-1.52-1.51-1.53-1.59-1.63-1.59-1.57-1.56-1.54<NA>-1.53-1.54-1.51<NA>-1.54<NA><NA>-1.61-1.6-1.6-1.6<NA>-1.57-1.56-1.59-1.52-1.52-1.53-1.56-1.53-1.54-1.55-1.59
100:10<NA>-1.62-1.61-1.61<NA>-1.59-1.58-1.57-1.56-1.56-1.55-1.55-1.56-1.54-1.87-1.53-1.51-1.6-1.67-1.58-1.56-1.55-1.55-1.61-1.51-1.53-1.53-1.86-1.56-1.52-1.57-1.53-1.5<NA>-1.48-1.47-1.46-1.45-1.44<NA>-1.43-1.42-1.76-1.85-1.82-1.53<NA>-1.56-1.53-1.52-1.5<NA><NA><NA>-1.54-1.84-1.88-1.78-1.53-1.54-1.6-1.58-1.57-1.55-1.53-1.5-1.36-1.32-1.58-1.83-1.87-1.53-1.53-1.54-1.6-1.58-1.57-1.55-1.53<NA>-1.51-1.65-1.88-1.79-1.78-1.52-1.51-1.52-1.61-1.61-1.6-1.59-1.59-1.58-1.57-1.58-1.57-1.49-1.7-1.8-1.88-1.52-1.76-1.54-1.59-1.57-1.54-1.53-1.42-1.41-1.38-1.57-1.63-1.73-1.71-1.59<NA>-1.51-1.55-1.48-1.44-1.42-1.41-1.32-1.31-1.25-1.23-1.54-1.82-1.48-1.72<NA>-1.65-1.62-1.58-1.55-1.53<NA><NA>-1.39-1.37-1.49-1.64<NA>-1.67-1.62-1.71<NA>-1.55-1.52<NA>-1.48-1.47-1.45-1.43-1.41-1.5-1.51-1.52-1.51-1.5-1.5-1.6-1.57-1.56-1.53-1.51-1.48-1.45-1.44-1.41-1.4-1.51-1.44-1.58-1.58-1.57-1.67-1.75-1.74-1.7-1.67-1.64-1.53-1.07-1.54-1.34-1.29-1.37-1.52-1.69-1.8-1.81-1.76-1.71-1.69-1.67-1.61-1.57-1.54-1.52-1.38-1.17<NA>-1.51-1.5-1.54-1.53-1.64-1.64-1.63-1.62-1.6-1.59-1.58<NA>-1.44-1.45-1.34<NA><NA>-1.66-1.64<NA><NA>-1.61<NA>-1.57-1.56<NA><NA>-1.49-1.4-1.57-1.53-1.49-1.52-1.61<NA>-1.7-1.45-1.44-1.45-1.48<NA><NA>-1.53<NA>-1.51-1.51<NA>-1.6<NA>-1.56-1.54-1.52-1.5-1.48-1.47-1.46-1.4-1.53-1.42-1.51-1.51-1.53-1.56-1.61-1.6-1.59-1.57-1.54-1.53-1.5-1.54-1.59-1.54-1.53-1.5-1.51-1.48-1.54-1.34-1.22-1.19-1.18-1.16-1.14-1.14-1.4-1.58-1.5-1.51-1.52-1.52-1.52-1.6-1.58-1.58-1.56-1.55-1.53-1.55-1.54-1.53-1.57<NA>-1.55-1.52-1.51-1.53-1.6-1.63-1.58-1.57-1.56-1.54<NA>-1.53-1.54-1.51<NA>-1.54<NA><NA>-1.61-1.6-1.6-1.6<NA>-1.57-1.56-1.58-1.52-1.52-1.53-1.56-1.53-1.54-1.54-1.6
200:20<NA>-1.62-1.62-1.61<NA>-1.59-1.58-1.57-1.56-1.56-1.54-1.55-1.56-1.55-1.86-1.53-1.52-1.59-1.67-1.57-1.56-1.55-1.54-1.61-1.51-1.53-1.53-1.86-1.56-1.52-1.57-1.53-1.5<NA>-1.48-1.47-1.46-1.45-1.44<NA>-1.43-1.42-1.76-1.85-1.82-1.53<NA>-1.56-1.53-1.52-1.5<NA><NA><NA>-1.54-1.84-1.88-1.78-1.53-1.54-1.6-1.58-1.57-1.55-1.54-1.5-1.36-1.32-1.58-1.83-1.87-1.53-1.53-1.54-1.6-1.58-1.57-1.55-1.53<NA>-1.51-1.65-1.88-1.79-1.78-1.52-1.51-1.52-1.61-1.61-1.6-1.59-1.59-1.58-1.57-1.58-1.57-1.49-1.7-1.8-1.87-1.52-1.76-1.54-1.58-1.57-1.54-1.55-1.42-1.41-1.38-1.57-1.63-1.72-1.71-1.59<NA>-1.51-1.55-1.48-1.44-1.42-1.41-1.33-1.31-1.25-1.23-1.54-1.81-1.48-1.71<NA>-1.65-1.62-1.57-1.54-1.53<NA><NA>-1.39-1.37-1.49-1.63<NA>-1.67-1.62-1.7<NA>-1.55-1.52<NA>-1.48-1.47-1.45-1.43-1.41-1.5-1.51-1.52-1.51-1.5-1.5-1.6-1.58-1.55-1.53-1.51-1.48-1.45-1.43-1.41-1.4-1.51-1.44-1.57-1.58-1.57-1.67-1.75-1.74-1.7-1.67-1.64-1.52-1.07-1.55-1.33-1.29-1.36-1.52-1.69-1.81-1.81-1.76-1.71-1.69-1.67-1.61-1.57-1.54-1.52-1.38<NA><NA>-1.51-1.5-1.54-1.53-1.64-1.64-1.63-1.61-1.6-1.59-1.58<NA>-1.44-1.45-1.33<NA><NA>-1.65-1.64<NA><NA>-1.61<NA>-1.57-1.56<NA><NA>-1.49-1.4-1.57-1.53-1.49-1.52-1.61<NA>-1.7-1.46-1.44-1.45-1.48<NA><NA>-1.53<NA>-1.51-1.51<NA>-1.6<NA>-1.56-1.54-1.52-1.5-1.48-1.47-1.46-1.39-1.52-1.42-1.51-1.51-1.53-1.56-1.61-1.6-1.59-1.57-1.54-1.52-1.5-1.54-1.59-1.54-1.53-1.5-1.51-1.48-1.54-1.34-1.22-1.19-1.18-1.16-1.14-1.14-1.4-1.58-1.5-1.51-1.52-1.52-1.52-1.6-1.58-1.58-1.56-1.55-1.53-1.55-1.53-1.53-1.56<NA>-1.55-1.52-1.51-1.53-1.59-1.63-1.58-1.57-1.56-1.54<NA>-1.53-1.54-1.51<NA>-1.54<NA><NA>-1.61-1.6-1.6-1.59<NA>-1.57-1.56-1.59-1.52-1.52-1.53-1.56-1.53-1.54-1.54-1.6
300:30<NA>-1.62-1.62-1.61<NA>-1.59-1.58-1.57-1.56-1.56-1.54-1.55-1.56-1.55-1.86-1.53-1.52-1.59-1.68-1.57-1.56-1.55-1.54-1.6-1.51-1.53-1.53-1.86-1.56-1.52-1.58-1.53-1.5<NA>-1.48-1.47-1.46-1.45-1.44<NA>-1.43-1.42-1.76-1.85-1.82-1.53<NA>-1.56-1.53-1.52-1.5<NA><NA><NA>-1.54-1.84-1.88-1.78-1.53-1.54-1.59-1.58-1.57-1.55-1.53-1.5-1.36-1.32-1.58-1.83-1.87-1.53-1.53-1.54-1.6-1.58-1.57-1.55-1.53<NA>-1.51-1.65-1.86-1.79-1.78-1.52-1.51-1.52-1.61-1.61-1.59-1.59-1.59-1.58-1.57-1.58-1.57-1.49-1.7-1.8-1.87-1.52-1.76-1.53-1.58-1.57-1.54-1.56-1.42-1.41-1.38-1.57-1.62-1.72-1.71-1.59<NA>-1.51-1.55-1.48-1.44-1.42-1.41-1.33-1.31-1.25-1.23-1.54-1.81-1.48-1.72<NA>-1.65-1.62-1.57-1.54-1.53<NA><NA>-1.39-1.37-1.49-1.63<NA>-1.67-1.61-1.7<NA>-1.55-1.52<NA>-1.48-1.46-1.45-1.43-1.41-1.5-1.51-1.52-1.51-1.51-1.5-1.6-1.58-1.55-1.54-1.51-1.48-1.45-1.43-1.41-1.4-1.51-1.44-1.57-1.58-1.57-1.66-1.75-1.74-1.7-1.67-1.64-1.52-1.07-1.56-1.33-1.29-1.36-1.52-1.69-1.81-1.81-1.76-1.71-1.69-1.67-1.61-1.57-1.54-1.52-1.38<NA><NA>-1.51-1.5-1.54-1.53-1.64-1.64-1.63-1.61-1.6-1.59-1.58<NA>-1.44-1.45-1.33<NA><NA>-1.65-1.64<NA><NA>-1.61<NA>-1.57-1.56<NA><NA>-1.49-1.4-1.57-1.53-1.49-1.52-1.61<NA>-1.7-1.46-1.45-1.45-1.47<NA><NA>-1.53<NA>-1.51-1.51<NA>-1.6<NA>-1.56-1.54-1.52-1.5-1.48-1.47-1.46-1.39-1.52-1.42-1.5-1.51-1.53-1.56-1.61-1.6-1.59-1.57-1.54-1.52-1.5-1.54-1.59-1.54-1.53-1.5-1.51-1.48-1.54-1.34-1.22-1.19-1.18-1.16-1.14-1.14-1.4-1.58-1.5-1.51-1.51-1.52-1.52-1.6-1.58-1.58-1.56-1.54-1.53-1.55-1.53-1.53-1.55<NA>-1.55-1.52-1.51-1.53-1.59-1.63-1.58-1.57-1.56-1.54<NA>-1.53-1.54-1.51<NA>-1.54<NA><NA>-1.61-1.6-1.6-1.59<NA>-1.57-1.57-1.59-1.52-1.52-1.53-1.56-1.53-1.54-1.54-1.6
400:40<NA>-1.62-1.62-1.61<NA>-1.59-1.58-1.57-1.56-1.56-1.54-1.55-1.56-1.55-1.86-1.52-1.52-1.59-1.69-1.57-1.55-1.55-1.54-1.6-1.51-1.54-1.53-1.85-1.56-1.52-1.58-1.53-1.5<NA>-1.48-1.47-1.45-1.45-1.44<NA>-1.43-1.42-1.76-1.85-1.83-1.52<NA>-1.56-1.53-1.52-1.5<NA><NA><NA>-1.53-1.84-1.88-1.78-1.53-1.54-1.59-1.58-1.57-1.55-1.53-1.5-1.35-1.32-1.58-1.83-1.86-1.53-1.53-1.55-1.6-1.58-1.57-1.55-1.53<NA>-1.51-1.65-1.78-1.79-1.78-1.52-1.51-1.52-1.61-1.61-1.59-1.59-1.59-1.58-1.57-1.58-1.56-1.48-1.7-1.79-1.87-1.53-1.76-1.53-1.58-1.56-1.54-1.55-1.42-1.41-1.38-1.56-1.62-1.72-1.71-1.58<NA>-1.51-1.55-1.48-1.44-1.42-1.41-1.33-1.31-1.25-1.23-1.54-1.81-1.48-1.71<NA>-1.65-1.63-1.57-1.55-1.53<NA><NA>-1.39-1.37-1.49-1.63<NA>-1.66-1.61-1.7<NA>-1.56-1.52<NA>-1.48-1.46-1.45-1.43-1.41-1.49-1.51-1.52-1.51-1.51-1.5-1.6-1.58-1.55-1.53-1.5-1.48-1.45-1.43-1.41-1.39-1.51-1.44-1.57-1.58-1.57-1.66-1.75-1.74-1.7-1.67-1.64-1.52-1.07-1.56-1.32-1.29-1.36-1.52-1.69-1.81-1.81-1.76-1.71-1.69-1.67-1.61-1.57-1.54-1.52-1.38<NA><NA>-1.51-1.5-1.54-1.53-1.63-1.64-1.63-1.61-1.6-1.59-1.58<NA>-1.43-1.45-1.33<NA><NA>-1.65-1.64<NA><NA>-1.61<NA>-1.57-1.56<NA><NA>-1.48-1.4-1.57-1.53-1.49-1.52-1.61<NA>-1.7-1.46-1.45-1.45-1.47<NA><NA>-1.53<NA>-1.5-1.51<NA>-1.6<NA>-1.56-1.54-1.52-1.5-1.48-1.47-1.46-1.39-1.53-1.41-1.51-1.51-1.53-1.56-1.61-1.6-1.59-1.57-1.54-1.52-1.5-1.54-1.59-1.54-1.53-1.5-1.5-1.48-1.54-1.33-1.22-1.19-1.18-1.16-1.14-1.13-1.4-1.58-1.5-1.51-1.51-1.52-1.52-1.6-1.58-1.58-1.56-1.54-1.53-1.55-1.53-1.53-1.56<NA>-1.55-1.52-1.51-1.53-1.59-1.62-1.58-1.57-1.56-1.54<NA>-1.53-1.53-1.51<NA>-1.54<NA><NA>-1.61-1.6-1.6-1.59<NA>-1.57-1.57-1.6-1.52-1.52-1.53-1.56-1.53-1.54-1.54-1.6
500:50<NA>-1.62-1.62-1.61<NA>-1.59-1.58-1.57-1.56-1.56-1.54-1.55-1.56-1.55-1.86-1.53-1.51-1.59-1.68-1.57-1.55-1.55-1.54-1.61-1.52-1.54-1.53-1.86-1.56-1.52-1.58-1.53-1.5<NA>-1.48-1.47-1.46-1.45-1.44<NA>-1.43-1.42-1.76-1.85-1.83-1.53<NA>-1.55-1.53-1.52-1.51<NA><NA><NA>-1.53-1.83-1.88-1.78-1.53-1.54-1.59-1.58-1.57-1.55-1.53-1.5-1.35-1.32-1.58-1.83-1.86-1.53-1.53-1.55-1.6-1.58-1.57-1.55-1.53<NA>-1.51-1.65-1.74-1.79-1.78-1.52-1.51-1.52-1.61-1.61-1.59-1.59-1.58-1.58-1.57-1.58-1.56-1.48-1.7-1.79-1.87-1.53-1.76-1.53-1.58-1.57-1.54-1.54-1.42-1.41-1.38-1.56-1.56-1.72-1.7-1.58<NA>-1.5-1.55-1.47-1.44-1.42-1.41-1.33-1.3-1.25-1.23-1.54-1.81-1.48-1.71<NA>-1.65-1.63-1.57-1.55-1.52<NA><NA>-1.39-1.36-1.49-1.63<NA>-1.66-1.61-1.7<NA>-1.56-1.52<NA>-1.48-1.46-1.45-1.43-1.41-1.49-1.51-1.52-1.51-1.51-1.5-1.6-1.57-1.56-1.53-1.5-1.48-1.45-1.43-1.41-1.39-1.51-1.44-1.57-1.58-1.57-1.66-1.75-1.74-1.7-1.67-1.64-1.51-1.07-1.55-1.32-1.29-1.36-1.51-1.69-1.8-1.81-1.76-1.71-1.69-1.67-1.6-1.57-1.53-1.52-1.37<NA><NA>-1.51-1.5-1.54-1.53-1.64-1.64-1.63-1.62-1.6-1.59-1.57<NA>-1.43-1.45-1.33<NA><NA>-1.66-1.65<NA><NA>-1.61<NA>-1.57-1.56<NA><NA>-1.48-1.4-1.57-1.53-1.49-1.52-1.61<NA>-1.7-1.45-1.45-1.45<NA><NA><NA>-1.53<NA>-1.5-1.51<NA>-1.6<NA>-1.56-1.54-1.52-1.5-1.49-1.47-1.46-1.38-1.54-1.41-1.5-1.51-1.53-1.56-1.61-1.6-1.59-1.57-1.54-1.52-1.5-1.53-1.59-1.53-1.53-1.5-1.5-1.48-1.54-1.33-1.22-1.19-1.18-1.16-1.14-1.13-1.4-1.58-1.5-1.51-1.51-1.52-1.52-1.6-1.58-1.58-1.56-1.54-1.53-1.55-1.53-1.53-1.56<NA>-1.55-1.52-1.51-1.53-1.59-1.62-1.58-1.57-1.56-1.54<NA>-1.53-1.54-1.51<NA>-1.54<NA><NA>-1.61-1.61-1.6-1.59<NA>-1.57-1.57-1.6-1.52-1.52-1.53-1.56-1.53-1.54-1.54-1.6
601:00<NA>-1.62-1.61-1.61<NA>-1.58-1.58-1.57-1.56-1.56-1.54-1.55-1.57-1.54-1.86-1.53-1.51-1.6-1.68-1.57-1.56-1.55-1.54-1.61-1.51-1.53-1.53-1.85-1.56-1.52-1.58-1.53-1.5<NA>-1.48-1.47-1.45-1.45-1.44<NA>-1.43-1.42-1.76-1.85-1.83-1.53<NA>-1.54-1.53-1.52-1.5<NA><NA><NA>-1.54-1.83-1.88-1.77-1.53-1.53-1.6-1.57-1.57-1.55-1.53-1.5-1.35-1.32-1.51-1.83-1.86-1.53-1.53-1.55-1.6-1.58-1.57-1.55-1.53<NA>-1.51-1.65-1.72-1.79-1.78-1.52-1.51-1.52-1.6-1.61-1.59-1.59-1.58-1.58-1.57-1.58-1.56-1.48-1.66-1.79-1.87-1.53-1.76-1.53-1.58-1.57-1.54-1.54-1.43-1.41-1.38-1.56-1.5-1.72-1.7-1.58<NA>-1.5-1.56-1.47-1.44-1.42-1.41-1.33-1.3-1.25-1.23-1.54-1.81-1.48-1.72<NA>-1.65-1.63-1.57-1.55-1.53<NA><NA>-1.39-1.36-1.49-1.62<NA>-1.66-1.61-1.7<NA>-1.56-1.52<NA>-1.48-1.46-1.45-1.43-1.41-1.49-1.51-1.52-1.51-1.51-1.5-1.6-1.57-1.56-1.53-1.51-1.48-1.45-1.43-1.41-1.39-1.5-1.44-1.57-1.58-1.57-1.66-1.75-1.74-1.7-1.67-1.63-1.51-1.06-1.55-1.31-1.28-1.35-1.51-1.69-1.8-1.81-1.76-1.71-1.69-1.67-1.61-1.57-1.53-1.52-1.37<NA><NA>-1.51-1.5-1.54-1.53-1.64-1.64-1.63-1.62-1.6-1.59-1.58<NA>-1.43-1.45-1.34<NA><NA>-1.66-1.65<NA><NA>-1.61<NA>-1.57-1.56<NA><NA>-1.48-1.4-1.57-1.53-1.49-1.52-1.61<NA>-1.7-1.45-1.44-1.45<NA><NA><NA>-1.53<NA>-1.5-1.51<NA>-1.6<NA>-1.56-1.54-1.52-1.5-1.49-1.47-1.46-1.38-1.53-1.41-1.5-1.51-1.53-1.57-1.61-1.6-1.58-1.57-1.54-1.52-1.5-1.53-1.59-1.53-1.53-1.5-1.5-1.47-1.54-1.32-1.22-1.19-1.18-1.16-1.14-1.13-1.4-1.57-1.5-1.51-1.51-1.52-1.52-1.6-1.58-1.58-1.56-1.54-1.53-1.54-1.53-1.53-1.55<NA>-1.55-1.52-1.51-1.53-1.59-1.61-1.58-1.57-1.56-1.54<NA>-1.53-1.53-1.51<NA>-1.54<NA><NA>-1.61-1.6-1.59-1.58<NA>-1.57-1.57-1.6-1.52-1.52-1.53-1.56-1.53-1.54-1.54-1.59
701:10<NA>-1.62-1.61-1.61<NA>-1.59-1.58-1.57-1.56-1.56-1.54-1.55-1.57-1.54-1.86-1.53-1.51-1.6-1.68-1.57-1.56-1.55-1.54-1.61-1.51-1.53-1.53-1.85-1.56-1.52-1.58-1.53-1.5<NA>-1.48-1.47-1.46-1.45-1.44<NA>-1.43-1.42-1.76-1.85-1.83-1.53<NA>-1.54-1.53-1.52-1.5<NA><NA><NA>-1.53-1.83-1.88-1.77-1.52-1.53-1.6-1.57-1.57-1.55-1.53-1.5-1.35-1.32-1.45-1.83-1.86-1.53-1.53-1.54-1.6-1.58-1.57-1.55-1.53<NA>-1.5-1.64-1.7-1.79-1.78-1.52-1.51-1.52-1.6-1.61-1.59-1.59-1.58-1.58-1.57-1.57-1.56-1.48-1.58-1.79-1.87-1.53-1.76-1.53-1.58-1.57-1.54-1.53-1.42-1.41-1.38-1.56-1.52-1.72-1.7-1.58<NA>-1.5-1.55-1.47-1.44-1.42-1.41-1.32-1.29-1.25-1.23-1.54-1.82-1.48-1.72<NA>-1.65-1.63-1.57-1.55-1.53<NA><NA>-1.39-1.36-1.49-1.56<NA>-1.66-1.61-1.7<NA>-1.55-1.52<NA>-1.48-1.46-1.45-1.43-1.4-1.49-1.51-1.52-1.51-1.51-1.5-1.6-1.57-1.56-1.53-1.5-1.48-1.45-1.43-1.4-1.39-1.5-1.44-1.57-1.58-1.57-1.66-1.75-1.74-1.7-1.67-1.64-1.5-1.06-1.54-1.31-1.28-1.35-1.51-1.69-1.8-1.81-1.76-1.71-1.69-1.67-1.61-1.57-1.54-1.51-1.37<NA><NA>-1.51-1.5-1.54-1.53-1.64-1.64-1.63-1.62-1.6-1.59-1.58<NA>-1.43-1.45-1.34<NA><NA>-1.65-1.65<NA><NA>-1.61<NA>-1.57-1.56<NA><NA>-1.48-1.4-1.57-1.53-1.49-1.52-1.61<NA>-1.7-1.45-1.44-1.45<NA><NA><NA>-1.53<NA>-1.5-1.51<NA>-1.6<NA>-1.56-1.54-1.52-1.5-1.49-1.47-1.46-1.38-1.52-1.41-1.5-1.51-1.53-1.56-1.61-1.6-1.58-1.57-1.54-1.52-1.5-1.54-1.59-1.54-1.53-1.5-1.5-1.48-1.54-1.32-1.22-1.19-1.18-1.16-1.14-1.13-1.4-1.57-1.5-1.51-1.51-1.52-1.52-1.6-1.59-1.58-1.56-1.54-1.53-1.54-1.53-1.53-1.55<NA>-1.55-1.52-1.51-1.53-1.6-1.61-1.58-1.57-1.56-1.54<NA>-1.53-1.53-1.51<NA>-1.54<NA><NA>-1.61-1.6-1.59-1.58<NA>-1.57-1.57-1.6-1.52-1.52-1.53-1.56-1.53-1.54-1.54-1.59
801:20<NA>-1.62-1.61-1.61<NA>-1.59-1.58-1.57-1.56-1.55-1.54-1.55-1.56-1.54-1.86-1.53-1.52-1.6-1.68-1.57-1.56-1.55-1.54-1.6-1.51-1.53-1.53-1.85-1.56-1.52-1.57-1.53-1.5<NA>-1.48-1.47-1.46-1.45-1.44<NA>-1.43-1.42-1.75-1.84-1.83-1.53<NA>-1.55-1.53-1.52-1.5<NA><NA><NA>-1.53-1.83-1.88-1.78-1.52-1.53-1.59-1.58-1.57-1.55-1.53-1.5-1.35-1.32-1.46-1.83-1.86-1.53-1.53-1.54-1.6-1.58-1.57-1.55-1.53<NA>-1.5-1.64-1.7-1.79-1.78-1.52-1.52-1.52-1.6-1.61-1.59-1.59-1.59-1.58-1.57-1.58-1.56-1.47-1.54-1.79-1.87-1.52-1.76-1.53-1.58-1.57-1.54-1.54-1.42-1.41-1.38-1.55-1.59-1.72-1.7-1.58<NA>-1.5-1.55-1.47-1.44-1.42-1.41-1.33-1.29-1.25-1.23-1.54-1.82-1.48-1.71<NA>-1.65-1.62-1.57-1.54-1.52<NA><NA>-1.39-1.36-1.48-1.52<NA>-1.66-1.61-1.7<NA>-1.55-1.52<NA>-1.48-1.46-1.45-1.43-1.41-1.49-1.51-1.52-1.51-1.51-1.5-1.6-1.57-1.56-1.54-1.5-1.48-1.45-1.43-1.4-1.39-1.51-1.44-1.57-1.58-1.57-1.66-1.75-1.74-1.7-1.67-1.64-1.49-1.06-1.54-1.3-1.28-1.35-1.51-1.69-1.8-1.81-1.76-1.71-1.69-1.66-1.6-1.57-1.54-1.51-1.37<NA><NA>-1.51-1.5-1.54-1.53-1.64-1.64-1.63-1.62-1.6-1.59-1.58<NA>-1.43-1.44-1.34<NA><NA>-1.65-1.65<NA><NA>-1.61<NA>-1.58-1.56<NA><NA>-1.48-1.4-1.57-1.53-1.49-1.52-1.61<NA>-1.7-1.45-1.45-1.45<NA><NA><NA>-1.53<NA>-1.51-1.51<NA>-1.6<NA>-1.56-1.54-1.52-1.5-1.49-1.47-1.46-1.38-1.52-1.41-1.5-1.51-1.53-1.56-1.61-1.6-1.58-1.57-1.54-1.52-1.5-1.53-1.58-1.54-1.53-1.5-1.5-1.48-1.53-1.32-1.22-1.19-1.17-1.16-1.14-1.13-1.4-1.57-1.5-1.51-1.51-1.52-1.52-1.6-1.59-1.58-1.56-1.54-1.52-1.55-1.53-1.53-1.55<NA>-1.54-1.52-1.51-1.53-1.6-1.61-1.58-1.57-1.56-1.54<NA>-1.53-1.53-1.51<NA>-1.54<NA><NA>-1.61-1.6-1.59-1.58<NA>-1.57-1.56-1.59-1.52-1.52-1.53-1.56-1.53-1.54-1.54-1.59
901:30<NA>-1.62-1.61-1.61<NA>-1.59-1.58-1.57-1.56-1.55-1.54-1.55-1.56-1.53-1.86-1.53-1.52-1.6-1.68-1.57-1.56-1.55-1.54-1.6-1.51-1.53-1.53-1.85-1.56-1.52-1.57-1.53-1.5<NA>-1.48-1.47-1.45-1.45-1.44<NA>-1.43-1.42-1.75-1.84-1.83-1.53<NA>-1.56-1.53-1.52-1.5<NA><NA><NA>-1.53-1.83-1.88-1.78-1.53-1.54-1.6-1.58-1.57-1.55-1.53-1.5-1.35-1.32-1.52-1.83-1.86-1.53-1.53-1.54-1.6-1.58-1.57-1.55-1.53<NA>-1.5-1.64-1.67-1.78-1.78-1.52-1.51-1.51-1.6-1.61-1.59-1.59-1.59-1.58-1.57-1.58-1.56-1.48-1.52-1.79-1.87-1.52-1.76-1.53-1.58-1.57-1.54-1.55-1.42-1.41-1.38-1.56-1.61-1.72-1.7-1.58<NA>-1.5-1.55-1.47-1.44-1.42-1.41-1.32-1.29-1.25-1.23-1.54-1.82-1.48-1.71<NA>-1.65-1.62-1.57-1.54-1.52<NA><NA>-1.39-1.36-1.48-1.49<NA>-1.66-1.61-1.7<NA>-1.55-1.52<NA>-1.48-1.46-1.45-1.43-1.41-1.49-1.51-1.52-1.51-1.51-1.5-1.6-1.57-1.56-1.54-1.5-1.48-1.45-1.43-1.4-1.39-1.51-1.44-1.57-1.58-1.57-1.66-1.75-1.74-1.7-1.67-1.64-1.48-1.06-1.53-1.3-1.28-1.35-1.51-1.69-1.8-1.81-1.76-1.71-1.69-1.67-1.6-1.56-1.53-1.51-1.37<NA><NA>-1.5-1.5-1.54-1.53-1.64-1.65-1.63-1.61-1.6-1.59-1.57<NA>-1.43-1.44-1.33<NA><NA>-1.66-1.65<NA><NA>-1.61<NA>-1.57-1.56<NA><NA>-1.48-1.4-1.57-1.52-1.49-1.52-1.61<NA>-1.7-1.45-1.45-1.44<NA><NA><NA>-1.53<NA>-1.51-1.51<NA>-1.6<NA>-1.56-1.54-1.52-1.49-1.49-1.47-1.46-1.38-1.51-1.41-1.5-1.51-1.53-1.56-1.61-1.6-1.58-1.57-1.54-1.52-1.5-1.53-1.59-1.54-1.53-1.5-1.5-1.48-1.53-1.32-1.22-1.19-1.17-1.16-1.14-1.13-1.39-1.57-1.49-1.51-1.51-1.52-1.52-1.6-1.59-1.58-1.56-1.54-1.53-1.54-1.53-1.53-1.54<NA>-1.54-1.52-1.51-1.52-1.6-1.61-1.58-1.57-1.56-1.54<NA>-1.53-1.54-1.51<NA>-1.54<NA><NA>-1.61-1.61-1.59-1.58<NA>-1.57-1.56-1.59-1.52-1.52-1.53-1.55-1.53-1.54-1.54-1.59
계측일자2016-01-012016-01-022016-01-032016-01-042016-01-052016-01-062016-01-072016-01-082016-01-092016-01-102016-01-112016-01-122016-01-132016-01-142016-01-152016-01-162016-01-172016-01-182016-01-192016-01-202016-01-212016-01-222016-01-232016-01-242016-01-252016-01-262016-01-272016-01-282016-01-292016-01-302016-01-312016-02-012016-02-022016-02-032016-02-042016-02-052016-02-062016-02-072016-02-082016-02-092016-02-102016-02-112016-02-122016-02-132016-02-142016-02-152016-02-162016-02-172016-02-182016-02-192016-02-202016-02-212016-02-222016-02-232016-02-242016-02-252016-02-262016-02-272016-02-282016-02-292016-03-012016-03-022016-03-032016-03-042016-03-052016-03-062016-03-072016-03-082016-03-092016-03-102016-03-112016-03-122016-03-132016-03-142016-03-152016-03-162016-03-172016-03-182016-03-192016-03-202016-03-212016-03-222016-03-232016-03-242016-03-252016-03-262016-03-272016-03-282016-03-292016-03-302016-03-312016-04-012016-04-022016-04-032016-04-042016-04-052016-04-062016-04-072016-04-082016-04-092016-04-102016-04-112016-04-122016-04-132016-04-142016-04-152016-04-162016-04-172016-04-182016-04-192016-04-202016-04-212016-04-222016-04-232016-04-242016-04-252016-04-262016-04-272016-04-282016-04-292016-04-302016-05-012016-05-022016-05-032016-05-042016-05-052016-05-062016-05-072016-05-082016-05-092016-05-102016-05-112016-05-122016-05-132016-05-142016-05-152016-05-162016-05-172016-05-182016-05-192016-05-202016-05-212016-05-222016-05-232016-05-242016-05-252016-05-262016-05-272016-05-282016-05-292016-05-302016-05-312016-06-012016-06-022016-06-032016-06-042016-06-052016-06-062016-06-072016-06-082016-06-092016-06-102016-06-112016-06-122016-06-132016-06-142016-06-152016-06-162016-06-172016-06-182016-06-192016-06-202016-06-212016-06-222016-06-232016-06-242016-06-252016-06-262016-06-272016-06-282016-06-292016-06-302016-07-012016-07-022016-07-032016-07-042016-07-052016-07-062016-07-072016-07-082016-07-092016-07-102016-07-112016-07-122016-07-132016-07-142016-07-152016-07-162016-07-172016-07-182016-07-192016-07-202016-07-212016-07-222016-07-232016-07-242016-07-252016-07-262016-07-272016-07-282016-07-292016-07-302016-07-312016-08-012016-08-022016-08-032016-08-042016-08-052016-08-062016-08-072016-08-082016-08-092016-08-102016-08-112016-08-122016-08-132016-08-142016-08-152016-08-162016-08-172016-08-182016-08-192016-08-202016-08-212016-08-222016-08-232016-08-242016-08-252016-08-262016-08-272016-08-282016-08-292016-08-302016-08-312016-09-012016-09-022016-09-032016-09-042016-09-052016-09-062016-09-072016-09-082016-09-092016-09-102016-09-112016-09-122016-09-132016-09-142016-09-152016-09-162016-09-172016-09-182016-09-192016-09-202016-09-212016-09-222016-09-232016-09-242016-09-252016-09-262016-09-272016-09-282016-09-292016-09-302016-10-012016-10-022016-10-032016-10-042016-10-052016-10-062016-10-072016-10-082016-10-092016-10-102016-10-112016-10-122016-10-132016-10-142016-10-152016-10-162016-10-172016-10-182016-10-192016-10-202016-10-212016-10-222016-10-232016-10-242016-10-252016-10-262016-10-272016-10-282016-10-292016-10-302016-10-312016-11-012016-11-022016-11-032016-11-042016-11-052016-11-062016-11-072016-11-082016-11-092016-11-102016-11-112016-11-122016-11-132016-11-142016-11-152016-11-162016-11-172016-11-182016-11-192016-11-202016-11-212016-11-222016-11-232016-11-242016-11-252016-11-262016-11-272016-11-282016-11-292016-11-302016-12-012016-12-022016-12-032016-12-042016-12-052016-12-06
13422:20-1.62-1.61-1.61<NA>-1.58-1.58-1.58-1.57-1.56-1.55-1.56-1.56-1.53-1.86-1.53-1.51-1.59-1.66-1.59-1.56-1.56-1.55-1.61-1.52-1.53-1.53-1.86-1.55-1.52-1.58-1.53-1.5<NA>-1.48-1.47-1.46-1.45-1.45<NA>-1.43-1.42-1.76-1.85-1.8-1.52-1.58-1.55-1.53-1.52-1.51<NA><NA><NA>-1.55-1.85-1.89-1.77-1.53-1.53-1.61-1.58-1.57-1.55-1.53-1.51-1.37-1.32-1.59-1.83-1.88-1.53-1.53-1.54-1.59-1.58-1.57-1.56-1.53<NA>-1.51-1.65-1.88-1.78-1.78-1.52-1.52-1.52-1.61-1.6-1.6-1.59-1.58-1.58-1.57-1.58-1.57-1.5-1.7-1.8-1.88-1.52-1.76-1.53-1.59-1.57-1.55-1.51-1.43-1.42-1.38-1.58-1.64-1.74-1.71-1.59<NA>-1.5-1.55-1.48-1.45-1.42-1.41-1.34-1.31-1.26-1.23-1.55-1.83-1.48-1.72-1.79-1.65-1.61-1.58-1.55-1.56<NA><NA>-1.4-1.37-1.49-1.64<NA>-1.67-1.62-1.71<NA>-1.55-1.52<NA>-1.48-1.46-1.45-1.44-1.42-1.51-1.52-1.53-1.51-1.51-1.5-1.6-1.58-1.56-1.54-1.52-1.48-1.46-1.44-1.41-1.4-1.49-1.45-1.58-1.58-1.58-1.66-1.75-1.75-1.7-1.67-1.65-1.55-1.1-1.55-1.39-1.3-1.4-1.53-1.69-1.81-1.81-1.77-1.71-1.69-1.67-1.63-1.58-1.54-1.52-1.38-1.17<NA>-1.51-1.51-1.54-1.53-1.64-1.65-1.63-1.62-1.61-1.59-1.59<NA>-1.44-1.45-1.34<NA><NA>-1.65-1.64<NA>-1.62-1.61<NA>-1.58-1.56<NA><NA><NA>-1.4-1.57-1.52-1.49-1.52-1.62<NA>-1.69-1.46-1.45-1.44-1.49<NA><NA>-1.54<NA>-1.5-1.51<NA>-1.6<NA>-1.57-1.54-1.52-1.5-1.49-1.48-1.46-1.42-1.57-1.43-1.51-1.51-1.53-1.57-1.61-1.6-1.59-1.57-1.55-1.53-1.5-1.54-1.59-1.54-1.54-1.51-1.52-1.48-1.56-1.34-1.22-1.2-1.18-1.16-1.15-1.14-1.41-1.58-1.51-1.51-1.52-1.52-1.52-1.6-1.58-1.58-1.56-1.54-1.53-1.55-1.54-1.54-1.57<NA>-1.55-1.52-1.51-1.53-1.6-1.61-1.59-1.57-1.56-1.55<NA>-1.54-1.54-1.52<NA>-1.54<NA>-1.58-1.61-1.6-1.6-1.59<NA>-1.58-1.57-1.57-1.53-1.52-1.53-1.56-1.53-1.54-1.54-1.57<NA>
13522:30-1.62-1.61-1.6<NA>-1.58-1.58-1.57-1.56-1.56-1.55-1.56-1.56-1.54-1.86-1.53-1.52-1.59-1.66-1.59-1.56-1.56-1.55-1.62-1.52-1.53-1.53-1.85-1.55-1.52-1.58-1.53-1.5<NA>-1.48-1.47-1.46-1.45-1.45<NA>-1.43-1.42-1.76-1.85-1.81-1.53-1.58-1.55-1.53-1.52-1.51<NA><NA><NA>-1.55-1.85-1.89-1.77-1.52-1.53-1.6-1.58-1.57-1.56-1.53-1.51-1.37-1.32-1.58-1.83-1.88-1.53-1.53-1.55-1.59-1.58-1.57-1.55-1.53<NA>-1.51-1.65-1.88-1.78-1.78-1.52-1.51-1.52-1.61-1.61-1.6-1.59-1.58-1.58-1.57-1.58-1.57-1.49-1.7-1.8-1.88-1.52-1.76-1.53-1.58-1.57-1.55-1.53-1.43-1.42-1.38-1.58-1.63-1.73-1.71-1.59<NA>-1.5-1.56-1.48-1.44-1.42-1.41-1.34-1.32-1.26-1.23-1.55-1.83-1.48-1.71-1.79-1.65-1.6-1.58-1.55-1.56<NA><NA>-1.4-1.37-1.49-1.64<NA>-1.67-1.62-1.71<NA>-1.55-1.52<NA>-1.48-1.46-1.45-1.44-1.42-1.51-1.52-1.53-1.51-1.51-1.5-1.6-1.58-1.56-1.54-1.52-1.48-1.46-1.44-1.41-1.4-1.49-1.45-1.58-1.59-1.58-1.66-1.75-1.75-1.7-1.67-1.65-1.55-1.09-1.55-1.39-1.3-1.39-1.52-1.69-1.81-1.81-1.76-1.71-1.69-1.67-1.63-1.58-1.54-1.52-1.38-1.17<NA>-1.51-1.51-1.54-1.53-1.64-1.65-1.63-1.62-1.61-1.59-1.59<NA>-1.44-1.45-1.34<NA><NA>-1.65-1.64<NA>-1.62-1.61<NA>-1.58-1.56<NA><NA><NA>-1.4-1.57-1.52-1.49-1.52-1.62<NA>-1.69-1.45-1.45-1.44-1.49<NA><NA>-1.53<NA>-1.5-1.51<NA>-1.6<NA>-1.57-1.54-1.52-1.5-1.49-1.47-1.46-1.42-1.53-1.43-1.51-1.51-1.53-1.57-1.61-1.6-1.59-1.57-1.55-1.53-1.5-1.54-1.59-1.54-1.54-1.51-1.52-1.48-1.56-1.35-1.22-1.19-1.18-1.15-1.15-1.14-1.41-1.58-1.51-1.52-1.52-1.52-1.52-1.6-1.58-1.58-1.56-1.54-1.54-1.55-1.54-1.53-1.57<NA>-1.55-1.52-1.51-1.53-1.6-1.62-1.6-1.57-1.56-1.55<NA>-1.54-1.54-1.52<NA>-1.54<NA>-1.58-1.61-1.61-1.6-1.59<NA>-1.58-1.57-1.58-1.53-1.52-1.53-1.56-1.53-1.54-1.54-1.57<NA>
13622:40-1.62-1.61-1.6<NA>-1.58-1.58-1.57-1.57-1.56-1.55-1.56-1.56-1.53-1.86-1.53-1.52-1.59-1.66-1.59-1.56-1.56-1.55-1.62-1.52-1.54-1.53-1.86-1.55-1.51-1.58-1.53-1.5<NA>-1.48-1.47-1.46-1.45-1.45<NA>-1.43-1.43-1.76-1.85-1.81-1.53-1.58-1.55-1.53-1.52-1.51<NA><NA><NA>-1.55-1.85-1.89-1.78-1.52-1.53-1.6-1.58-1.57-1.55-1.53-1.51-1.37-1.32-1.58-1.83-1.88-1.53-1.53-1.54-1.59-1.58-1.57-1.55-1.53<NA>-1.51-1.65-1.88-1.79-1.78-1.52-1.51-1.52-1.61-1.6-1.59-1.6-1.58-1.58-1.57-1.58-1.57-1.49-1.7-1.8-1.87-1.52-1.76-1.54-1.59-1.57-1.55-1.54-1.43-1.42-1.38-1.58-1.63-1.74-1.71-1.59<NA>-1.5-1.56-1.48-1.44-1.42-1.41-1.35-1.32-1.26-1.24-1.55-1.83-1.48-1.71-1.79-1.65-1.61-1.57-1.55-1.55<NA><NA>-1.4-1.37-1.49-1.64<NA>-1.67-1.62-1.71<NA>-1.54-1.52<NA>-1.48-1.46-1.45-1.44-1.42-1.5-1.52-1.53-1.52-1.51-1.5-1.6-1.58-1.56-1.54-1.52-1.49-1.46-1.44-1.41-1.4-1.5-1.44-1.58-1.59-1.58-1.66-1.75-1.74-1.7-1.67-1.64-1.56-1.09-1.57-1.38-1.3-1.39-1.52-1.69-1.81-1.81-1.76-1.71-1.69-1.67-1.63-1.58-1.54-1.52-1.38-1.17<NA>-1.51-1.51-1.54-1.53-1.64-1.64-1.63-1.63-1.61-1.59-1.58<NA>-1.44-1.45-1.34<NA>-1.55-1.65-1.64<NA>-1.62-1.61<NA>-1.58-1.56<NA><NA><NA>-1.4-1.57-1.52-1.5-1.52-1.61<NA>-1.69-1.46-1.45-1.44-1.49<NA><NA>-1.53<NA>-1.51-1.51<NA>-1.6<NA>-1.57-1.54-1.52-1.5-1.49-1.47-1.46-1.42-1.56-1.43-1.51-1.51-1.53-1.56-1.61-1.6-1.59-1.57-1.55-1.53-1.5-1.54-1.59-1.54-1.54-1.51-1.52-1.48-1.56-1.34-1.22-1.19-1.18-1.15-1.15-1.14-1.41-1.58-1.51-1.52-1.52-1.52-1.52-1.6-1.58-1.58-1.56-1.54-1.54-1.55-1.54-1.53-1.58<NA>-1.55-1.52-1.51-1.53-1.6-1.62-1.59-1.57-1.56-1.55<NA>-1.54-1.54-1.52<NA>-1.54<NA>-1.58-1.61-1.6-1.6-1.59<NA>-1.58-1.57-1.58-1.53-1.53-1.53-1.56-1.53-1.54-1.54-1.58<NA>
13722:50-1.62-1.61-1.6<NA>-1.58-1.58-1.57-1.57-1.56-1.55-1.56-1.57-1.54-1.86-1.53-1.52-1.59-1.67-1.59-1.56-1.56-1.55-1.61-1.52-1.54-1.53-1.86-1.55-1.51-1.58-1.53-1.5<NA>-1.48-1.47-1.46-1.45-1.45<NA>-1.43-1.43-1.76-1.85-1.81-1.53-1.59-1.55-1.53-1.52-1.51<NA><NA><NA>-1.55-1.85-1.89-1.78-1.53-1.53-1.6-1.58-1.56-1.56-1.53-1.51-1.37-1.32-1.58-1.83-1.88-1.53-1.54-1.54-1.59-1.58-1.57-1.55-1.53<NA>-1.51-1.65-1.88-1.78-1.78-1.52-1.51-1.52-1.61-1.6-1.6-1.6-1.58-1.58-1.57-1.58-1.57-1.5-1.7-1.8-1.87-1.52-1.76-1.54-1.59-1.57-1.54-1.53-1.43-1.42-1.38-1.58-1.63-1.73-1.71-1.59<NA>-1.5-1.55-1.48-1.44-1.42-1.41-1.35-1.31-1.26-1.24-1.55-1.83-1.49-1.71-1.79-1.65-1.61-1.57-1.55-1.54<NA><NA>-1.4-1.37-1.49-1.64<NA>-1.67-1.62-1.71<NA>-1.54-1.52<NA>-1.48-1.46-1.45-1.44-1.42-1.5-1.52-1.53-1.52-1.51-1.5-1.6-1.58-1.56-1.54-1.52-1.49-1.45-1.44-1.41-1.4-1.5-1.44-1.58-1.59-1.58-1.66-1.75-1.74-1.7-1.67-1.64-1.56-1.09-1.57-1.37-1.31-1.39-1.52-1.69-1.81-1.81-1.76-1.71-1.69-1.67-1.63-1.57-1.54-1.52-1.38-1.17<NA>-1.51-1.51-1.54-1.53-1.64-1.64-1.63-1.63-1.6-1.59-1.58<NA>-1.44-1.45-1.34<NA><NA>-1.65-1.64<NA>-1.62-1.61<NA>-1.58-1.56<NA><NA><NA>-1.4-1.57-1.52-1.49-1.52-1.61<NA>-1.69-1.45-1.44-1.45-1.49<NA><NA>-1.53<NA>-1.51-1.51<NA>-1.6<NA>-1.56-1.54-1.52-1.5-1.49-1.47-1.46-1.42-1.57-1.42-1.51-1.51-1.53-1.56-1.61-1.6-1.59-1.57-1.54-1.53-1.5-1.54-1.59-1.54-1.54-1.51-1.52-1.48-1.56-1.34-1.22-1.19-1.18-1.15-1.15-1.14-1.41-1.58-1.51-1.52-1.52-1.52-1.52-1.6-1.58-1.58-1.56-1.54-1.53-1.56-1.54-1.53-1.58<NA>-1.55-1.52-1.51-1.53-1.6-1.62-1.59-1.57-1.56-1.55<NA>-1.54-1.54-1.52<NA>-1.54<NA>-1.58-1.6-1.6-1.6-1.6<NA>-1.58-1.57-1.58-1.53-1.52-1.53-1.56-1.53-1.54-1.54-1.58<NA>
13823:00-1.62-1.62-1.61<NA>-1.58-1.58-1.57-1.56-1.56-1.55-1.56-1.57-1.54-1.86-1.53-1.52-1.59-1.68-1.58-1.56-1.56-1.55-1.59-1.52-1.54-1.54-1.86-1.56-1.52-1.58-1.53-1.5<NA>-1.48-1.47-1.46-1.45-1.45<NA>-1.44-1.42-1.76-1.85-1.81-1.53<NA>-1.55-1.53-1.52-1.51<NA><NA><NA>-1.54-1.85-1.89-1.78-1.53-1.53-1.6-1.58-1.56-1.56-1.54-1.51-1.37-1.32-1.58-1.83-1.88-1.53-1.54-1.54-1.59-1.58-1.57-1.55-1.53<NA>-1.51-1.65-1.88-1.79-1.78-1.52-1.51-1.52-1.61-1.61-1.59-1.59-1.59-1.58-1.57-1.58-1.57-1.5-1.7-1.8-1.87-1.52-1.76-1.54-1.59-1.57-1.54-1.53-1.43-1.42-1.38-1.58-1.63-1.73-1.71-1.59<NA>-1.51-1.55-1.48-1.44-1.42-1.41-1.34-1.32-1.26-1.24-1.55-1.83-1.49-1.71-1.79-1.65-1.61-1.57-1.55-1.54<NA><NA>-1.4-1.37-1.5-1.64<NA>-1.67-1.62-1.71<NA>-1.54-1.52<NA>-1.48-1.46-1.45-1.44-1.42-1.5-1.52-1.53-1.52-1.51-1.5-1.6-1.58-1.55-1.53-1.52-1.48-1.45-1.43-1.41-1.4-1.5-1.44-1.58-1.59-1.58-1.66-1.75-1.74-1.7-1.67-1.64-1.54-1.09-1.58-1.37-1.31-1.39-1.52-1.69-1.81-1.81-1.76-1.71-1.69-1.67-1.62-1.57-1.54-1.52-1.38-1.17<NA>-1.5-1.51-1.54-1.53-1.64-1.64-1.63-1.62-1.6-1.59-1.58<NA>-1.44-1.45-1.34<NA><NA>-1.65-1.64<NA>-1.62-1.61<NA>-1.58-1.56<NA><NA><NA>-1.4-1.57-1.53-1.49-1.52-1.61<NA>-1.69-1.45-1.44-1.45-1.49<NA><NA>-1.53<NA>-1.51-1.51<NA>-1.6<NA>-1.56-1.54-1.52-1.5-1.48-1.47-1.46-1.42-1.57-1.42-1.51-1.51-1.53-1.56-1.61-1.6-1.59-1.57-1.54-1.53-1.5-1.54-1.59-1.54-1.54-1.5-1.51-1.48-1.56-1.34-1.22-1.19-1.18-1.15-1.15-1.14-1.41-1.58-1.51-1.51-1.51-1.52-1.52-1.6-1.58-1.58-1.56-1.54-1.53-1.55-1.54-1.53-1.57<NA>-1.55-1.52-1.51-1.53-1.6-1.63-1.59-1.57-1.56-1.55<NA>-1.54-1.54-1.52<NA>-1.54<NA>-1.58-1.6-1.6-1.6-1.6<NA>-1.58-1.57-1.58-1.53-1.52-1.53-1.56-1.53-1.54-1.54-1.59<NA>
13923:10-1.62-1.61-1.61<NA>-1.58-1.58-1.57-1.56-1.56-1.55-1.56-1.56-1.54-1.86-1.52-1.52-1.59-1.68-1.58-1.56-1.56-1.55-1.58-1.52-1.54-1.54-1.86-1.56-1.52-1.58-1.53-1.5<NA>-1.48-1.47-1.46-1.45-1.45<NA>-1.43-1.42-1.76-1.85-1.81-1.53<NA>-1.55-1.53-1.52-1.51<NA><NA><NA>-1.55-1.85-1.89-1.78-1.53-1.53-1.6-1.58-1.56-1.56-1.54-1.51-1.37-1.32-1.58-1.83-1.88-1.53-1.54-1.54-1.59-1.58-1.57-1.55-1.53<NA>-1.51-1.65-1.88-1.78-1.78-1.52-1.52-1.52-1.61-1.61-1.6-1.59-1.59-1.58-1.57-1.58-1.57-1.5-1.7-1.8-1.87-1.53-1.76-1.54-1.59-1.57-1.54-1.52-1.43-1.42-1.38-1.58-1.63-1.73-1.71-1.59<NA>-1.51-1.55-1.48-1.44-1.42-1.41-1.34-1.31-1.26-1.23-1.55-1.82-1.49-1.71<NA>-1.65-1.61-1.57-1.55-1.54<NA><NA>-1.4-1.37-1.5-1.64<NA>-1.67-1.62-1.71<NA>-1.54-1.52<NA>-1.48-1.46-1.45-1.44-1.41-1.5-1.52-1.53-1.52-1.51-1.5-1.6-1.58-1.56-1.54-1.52-1.48-1.45-1.43-1.41-1.4-1.5-1.44-1.58-1.58-1.58-1.66-1.75-1.74-1.71-1.67-1.64-1.54-1.08-1.58-1.36-1.31-1.38-1.52-1.69-1.81-1.81-1.76-1.71-1.69-1.67-1.62-1.57-1.54-1.52-1.38-1.17<NA>-1.5-1.51-1.54-1.53-1.63-1.65-1.63-1.63-1.6-1.59-1.58<NA>-1.44-1.45-1.33<NA><NA>-1.65-1.64<NA>-1.62-1.61<NA>-1.58-1.56<NA><NA><NA>-1.4-1.57-1.53-1.5-1.52-1.61<NA>-1.69-1.46-1.44-1.45-1.48<NA><NA>-1.53<NA>-1.51-1.51<NA>-1.6<NA>-1.56-1.54-1.52-1.5-1.48-1.47-1.46-1.41-1.57-1.42-1.5-1.51-1.53-1.56-1.61-1.6-1.59-1.57-1.54-1.53-1.5-1.54-1.59-1.54-1.54-1.5-1.51-1.48-1.56-1.34-1.22-1.19-1.18-1.15-1.14-1.14-1.41-1.58-1.51-1.51-1.51-1.52-1.52-1.6-1.58-1.58-1.56-1.54-1.53-1.56-1.54-1.53-1.57<NA>-1.55-1.52-1.51-1.53-1.59-1.63-1.59-1.57-1.56-1.54<NA>-1.54-1.54-1.52<NA>-1.54<NA>-1.59-1.6-1.6-1.6-1.6<NA>-1.58-1.57-1.58-1.53-1.52-1.53-1.56-1.54-1.54-1.54-1.59<NA>
14023:20-1.62-1.62-1.61<NA>-1.58-1.58-1.57-1.56-1.56-1.55-1.56-1.57-1.54-1.86-1.52-1.51-1.59-1.68-1.58-1.56-1.55-1.54-1.59-1.51-1.53-1.54-1.86-1.56-1.52-1.58-1.53-1.5<NA>-1.48-1.47-1.46-1.45-1.44<NA>-1.43-1.42-1.76-1.85-1.82-1.53<NA>-1.55-1.53-1.53-1.51<NA><NA><NA>-1.54-1.85-1.89-1.78-1.53-1.54-1.6-1.58-1.56-1.56-1.54-1.51-1.37-1.32-1.58-1.83-1.87-1.53-1.53-1.54-1.59-1.58-1.57-1.55-1.53<NA>-1.51-1.65-1.88-1.79-1.78-1.52-1.52-1.52-1.61-1.61-1.59-1.59-1.59-1.58-1.57-1.58-1.57-1.49-1.7-1.8-1.87-1.53-1.76-1.53-1.59-1.57-1.54-1.52-1.43-1.41-1.38-1.58-1.63-1.73-1.71-1.59<NA>-1.51-1.55-1.48-1.45-1.42-1.41-1.33-1.31-1.25-1.24-1.54-1.82-1.49-1.71<NA>-1.65-1.61-1.57-1.55-1.54<NA><NA>-1.39-1.37-1.49-1.63<NA>-1.67-1.62-1.7<NA>-1.55-1.52<NA>-1.48-1.47-1.45-1.44-1.41-1.5-1.51-1.53-1.52-1.51-1.5-1.6-1.58-1.55-1.54-1.52-1.48-1.45-1.43-1.41-1.4-1.5-1.44-1.58-1.58-1.58-1.66-1.75-1.74-1.7-1.67-1.64-1.53-1.08-1.57-1.36-1.3-1.38-1.52-1.69-1.81-1.81-1.76-1.71-1.69-1.67-1.62-1.57-1.54-1.52-1.38-1.17<NA>-1.51-1.51-1.54-1.54-1.63-1.65-1.63-1.63-1.6-1.59-1.58<NA>-1.44-1.45-1.32<NA><NA>-1.65-1.64<NA>-1.62-1.61<NA>-1.58-1.56<NA><NA><NA>-1.4-1.57-1.53-1.49-1.52-1.61<NA>-1.69-1.46-1.44-1.45-1.49<NA><NA>-1.53<NA>-1.51-1.51<NA>-1.6<NA>-1.56-1.54-1.52-1.5-1.48-1.47-1.46-1.41-1.56-1.42-1.51-1.51-1.54-1.56-1.61-1.6-1.59-1.57-1.54-1.53-1.5-1.54-1.59-1.54-1.54-1.5-1.51-1.48-1.56-1.33-1.22-1.19-1.18-1.15-1.14-1.14-1.41-1.58-1.51-1.51-1.52-1.52-1.52-1.6-1.58-1.58-1.56-1.54-1.53-1.55-1.54-1.53-1.57<NA>-1.55-1.52-1.51-1.53-1.59-1.63-1.58-1.57-1.56-1.54<NA>-1.54-1.54-1.51<NA>-1.54<NA>-1.59-1.61-1.6-1.61-1.6<NA>-1.58-1.57-1.58-1.53-1.52-1.53-1.56-1.53-1.54-1.54-1.59<NA>
14123:30-1.62-1.62-1.61<NA>-1.58-1.58-1.57-1.56-1.56-1.55-1.56-1.57-1.54-1.86-1.52-1.51-1.59-1.68-1.58-1.56-1.55-1.54-1.6-1.51-1.54-1.53-1.86-1.56-1.52-1.58-1.53-1.5<NA>-1.48-1.47-1.46-1.45-1.44<NA>-1.43-1.42-1.76-1.85-1.82-1.52<NA>-1.55-1.53-1.52-1.51<NA><NA><NA>-1.54-1.85-1.88-1.78-1.53-1.54-1.59-1.58-1.56-1.56-1.54-1.5-1.36-1.32-1.58-1.83-1.87-1.54-1.53-1.54-1.59-1.58-1.57-1.55-1.53<NA>-1.51-1.65-1.88-1.79-1.78-1.52-1.52-1.52-1.61-1.61-1.6-1.59-1.59-1.58-1.57-1.58-1.57-1.49-1.7-1.8-1.87-1.52-1.76-1.53-1.58-1.57-1.54-1.52-1.43-1.41-1.38-1.58-1.63-1.73-1.71-1.59<NA>-1.51-1.55-1.48-1.45-1.42-1.41-1.33-1.3-1.25-1.24-1.55-1.82-1.49-1.71<NA>-1.65-1.61-1.57-1.55-1.54<NA><NA>-1.4-1.37-1.5-1.63<NA>-1.67-1.62-1.7<NA>-1.55-1.52<NA>-1.48-1.47-1.45-1.44-1.41-1.5-1.51-1.53-1.52-1.51-1.5-1.6-1.57-1.55-1.53-1.51-1.48-1.45-1.43-1.41-1.4-1.5-1.44-1.58-1.58-1.58-1.66-1.75-1.74-1.7-1.67-1.65-1.53-1.08-1.56-1.35-1.3-1.38-1.52-1.69-1.81-1.81-1.76-1.71-1.69-1.67-1.62-1.57-1.54-1.52-1.38-1.17<NA>-1.51-1.51-1.54-1.54-1.64-1.65-1.63-1.62-1.6-1.59-1.58<NA>-1.44-1.45-1.33<NA><NA>-1.65-1.64<NA><NA>-1.61<NA>-1.58-1.56<NA><NA>-1.49-1.4-1.57-1.53-1.49-1.52-1.61<NA>-1.7-1.45-1.44-1.45-1.48<NA><NA>-1.53<NA>-1.51-1.51<NA>-1.6<NA>-1.56-1.54-1.52-1.5-1.48-1.47-1.46-1.41-1.55-1.42-1.51-1.51-1.54-1.56-1.61-1.6-1.59-1.57-1.54-1.53-1.5-1.54-1.59-1.54-1.54-1.5-1.52-1.48-1.56-1.33-1.22-1.19-1.18-1.15-1.14-1.14-1.4-1.58-1.51-1.51-1.52-1.52-1.52-1.6-1.58-1.58-1.56-1.54-1.53-1.56-1.53-1.53-1.57<NA>-1.55-1.52-1.51-1.53-1.59-1.63-1.59-1.57-1.56-1.54<NA>-1.53-1.54-1.51<NA>-1.54<NA>-1.59-1.61-1.6-1.61-1.6<NA>-1.58-1.57-1.58-1.53-1.52-1.53-1.56-1.53-1.54-1.54-1.59<NA>
14223:40-1.62-1.62-1.61<NA>-1.58-1.58-1.57-1.56-1.56-1.55-1.55-1.57-1.54-1.87-1.53-1.51-1.59-1.67-1.58-1.56-1.56-1.54-1.61-1.51-1.53-1.53-1.86-1.56-1.52-1.58-1.53-1.5<NA>-1.48-1.47-1.46-1.44-1.44<NA>-1.43-1.42-1.77-1.85-1.82-1.52<NA>-1.55-1.53-1.52-1.51<NA><NA><NA>-1.54-1.85-1.88-1.78-1.53-1.54-1.6-1.57-1.57-1.55-1.53-1.5-1.36-1.32-1.58-1.83-1.87-1.54-1.53-1.55-1.59-1.58-1.57-1.55-1.53<NA>-1.51-1.65-1.88-1.79-1.78-1.52-1.52-1.52-1.61-1.6-1.6-1.59-1.59-1.58-1.57-1.58-1.57-1.49-1.7-1.8-1.87-1.52-1.76-1.53-1.58-1.57-1.54-1.51-1.43-1.41-1.38-1.57-1.63-1.73-1.71-1.59<NA>-1.5-1.55-1.48-1.44-1.42-1.41-1.34-1.3-1.25-1.24-1.54-1.82-1.49-1.71<NA>-1.65-1.61-1.57-1.55-1.54<NA><NA>-1.4-1.37-1.5-1.63<NA>-1.67-1.62-1.71<NA>-1.55-1.52<NA>-1.48-1.46-1.45-1.44-1.41-1.5-1.51-1.53-1.52-1.51-1.5-1.6-1.57-1.56-1.53-1.51-1.48-1.45-1.43-1.41-1.4-1.5-1.44-1.58-1.58-1.57-1.67-1.75-1.74-1.7-1.67-1.65-1.54-1.08-1.55-1.35-1.3-1.37-1.52-1.69-1.8-1.81-1.76-1.71-1.69-1.67-1.62-1.57-1.54-1.52-1.38-1.17<NA>-1.51-1.51-1.54-1.54-1.64-1.65-1.63-1.62-1.6-1.59-1.58<NA>-1.44-1.45-1.34<NA><NA>-1.65-1.64<NA><NA>-1.61<NA>-1.58-1.56<NA><NA>-1.49-1.4-1.57-1.53-1.49-1.52-1.61<NA>-1.7-1.44-1.44-1.45-1.48<NA><NA>-1.53<NA>-1.51-1.51<NA>-1.6<NA>-1.57-1.54-1.52-1.5-1.48-1.47-1.46-1.41-1.54-1.42-1.51-1.51-1.53-1.56-1.61-1.6-1.58-1.57-1.54-1.53-1.5-1.54-1.59-1.54-1.54-1.5-1.52-1.48-1.55-1.33-1.22-1.19-1.18-1.16-1.14-1.14-1.4-1.58-1.51-1.51-1.52-1.52-1.52-1.6-1.58-1.58-1.56-1.55-1.53-1.56-1.54-1.53-1.58<NA>-1.55-1.52-1.52-1.53-1.59-1.62-1.58-1.57-1.56-1.54<NA>-1.53-1.54-1.51<NA>-1.54<NA><NA>-1.61-1.6-1.6-1.6<NA>-1.58-1.56-1.58-1.52-1.52-1.53-1.56-1.53-1.54-1.54-1.59<NA>
14323:50-1.62-1.61-1.61<NA>-1.58-1.58-1.57-1.56-1.56-1.55-1.55-1.56-1.54-1.87-1.53-1.51-1.6-1.67-1.59-1.56-1.55-1.54-1.61-1.52-1.53-1.53-1.86-1.56-1.52-1.57-1.53-1.5<NA>-1.48-1.47-1.46-1.45-1.44<NA>-1.43-1.42-1.77-1.85-1.82-1.53<NA>-1.55-1.53-1.52-1.51<NA><NA><NA>-1.54-1.85-1.88-1.78-1.53-1.54-1.59-1.57-1.56-1.56-1.53-1.5-1.36-1.32-1.58-1.83-1.87-1.53-1.53-1.55-1.59-1.58-1.57-1.55-1.53<NA>-1.51-1.65-1.88-1.79-1.78-1.52-1.51-1.52-1.61-1.6-1.6-1.59-1.59-1.58-1.57-1.58-1.57-1.49-1.7-1.8-1.87-1.52-1.76-1.53-1.58-1.57-1.54-1.5-1.42-1.41-1.38-1.57-1.63-1.73-1.71-1.59<NA>-1.5-1.55-1.47-1.44-1.42-1.41-1.34-1.3-1.25-1.24-1.54-1.82-1.49-1.72<NA>-1.65-1.61-1.57-1.55-1.54<NA><NA>-1.4-1.37-1.49-1.63<NA>-1.67-1.62-1.71<NA>-1.55-1.52<NA>-1.48-1.47-1.45-1.43-1.41-1.5-1.51-1.52-1.52-1.51-1.51-1.6-1.57-1.56-1.53-1.51-1.48-1.45-1.43-1.41-1.4-1.5-1.44-1.58-1.58-1.57-1.66-1.75-1.74-1.7-1.67-1.65-1.54-1.08-1.55-1.34-1.3-1.37-1.52-1.69-1.8-1.81-1.77-1.71-1.69-1.67-1.62-1.57-1.54-1.52-1.38-1.17<NA>-1.51-1.51-1.54-1.54-1.64-1.64-1.63-1.62-1.6-1.59-1.58<NA>-1.44-1.45-1.35<NA><NA>-1.65-1.64<NA><NA>-1.61<NA>-1.58-1.56<NA><NA>-1.49-1.4-1.57-1.53-1.49-1.52-1.61<NA>-1.7-1.45-1.44-1.45-1.48<NA><NA>-1.53<NA>-1.51-1.51<NA>-1.6<NA>-1.56-1.54-1.52-1.5-1.48-1.47-1.46-1.41-1.53-1.42-1.51-1.51-1.53-1.56-1.61-1.6-1.58-1.57-1.54-1.53-1.5-1.54-1.59-1.54-1.53-1.5-1.51-1.48-1.55-1.33-1.22-1.19-1.18-1.15-1.14-1.14-1.4-1.58-1.5-1.51-1.52-1.52-1.52-1.6-1.58-1.58-1.56-1.55-1.53-1.55-1.54-1.53-1.58<NA>-1.55-1.52-1.51-1.53-1.59-1.62-1.59-1.57-1.56-1.54<NA>-1.53-1.54-1.51<NA>-1.54<NA><NA>-1.61-1.6-1.59-1.6<NA>-1.57-1.57-1.59-1.52-1.52-1.53-1.56-1.53-1.54-1.54-1.6<NA>