Overview

Dataset statistics

Number of variables67
Number of observations170
Missing cells4754
Missing cells (%)41.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory100.1 KiB
Average record size in memory602.8 B

Variable types

Text1
Numeric66

Dataset

Description국내 석유제품의 제주 지역 월간 산업별 소비량(농림수산업,광업,식품.담배업,섬유제품업,목재업,제지.인쇄업,화학제품업,요업,철강업,비철금속산업,기계조립업,수송장비업,기타제조업,건설업,기타에너지,발전,석유정제,개스제조,철도,도로,해운,항공,상업,가정,공공,기타), 제품별 단위 : 물량(KL)
URLhttps://www.data.go.kr/data/15121157/fileData.do

Alerts

2018-01 has 61 (35.9%) missing valuesMissing
2018-02 has 64 (37.6%) missing valuesMissing
2018-03 has 60 (35.3%) missing valuesMissing
2018-04 has 63 (37.1%) missing valuesMissing
2018-05 has 68 (40.0%) missing valuesMissing
2018-06 has 66 (38.8%) missing valuesMissing
2018-07 has 65 (38.2%) missing valuesMissing
2018-08 has 68 (40.0%) missing valuesMissing
2018-09 has 68 (40.0%) missing valuesMissing
2018-10 has 68 (40.0%) missing valuesMissing
2018-11 has 60 (35.3%) missing valuesMissing
2018-12 has 56 (32.9%) missing valuesMissing
2019-01 has 65 (38.2%) missing valuesMissing
2019-02 has 63 (37.1%) missing valuesMissing
2019-03 has 68 (40.0%) missing valuesMissing
2019-04 has 66 (38.8%) missing valuesMissing
2019-05 has 73 (42.9%) missing valuesMissing
2019-06 has 73 (42.9%) missing valuesMissing
2019-07 has 71 (41.8%) missing valuesMissing
2019-08 has 75 (44.1%) missing valuesMissing
2019-09 has 73 (42.9%) missing valuesMissing
2019-10 has 69 (40.6%) missing valuesMissing
2019-11 has 63 (37.1%) missing valuesMissing
2019-12 has 65 (38.2%) missing valuesMissing
2020-01 has 69 (40.6%) missing valuesMissing
2020-02 has 68 (40.0%) missing valuesMissing
2020-03 has 72 (42.4%) missing valuesMissing
2020-04 has 75 (44.1%) missing valuesMissing
2020-05 has 74 (43.5%) missing valuesMissing
2020-06 has 72 (42.4%) missing valuesMissing
2020-07 has 75 (44.1%) missing valuesMissing
2020-08 has 73 (42.9%) missing valuesMissing
2020-09 has 75 (44.1%) missing valuesMissing
2020-10 has 73 (42.9%) missing valuesMissing
2020-11 has 72 (42.4%) missing valuesMissing
2020-12 has 74 (43.5%) missing valuesMissing
2021-01 has 75 (44.1%) missing valuesMissing
2021-02 has 75 (44.1%) missing valuesMissing
2021-03 has 74 (43.5%) missing valuesMissing
2021-04 has 73 (42.9%) missing valuesMissing
2021-05 has 78 (45.9%) missing valuesMissing
2021-06 has 75 (44.1%) missing valuesMissing
2021-07 has 79 (46.5%) missing valuesMissing
2021-08 has 80 (47.1%) missing valuesMissing
2021-09 has 78 (45.9%) missing valuesMissing
2021-10 has 73 (42.9%) missing valuesMissing
2021-11 has 74 (43.5%) missing valuesMissing
2021-12 has 71 (41.8%) missing valuesMissing
2022-01 has 76 (44.7%) missing valuesMissing
2022-02 has 78 (45.9%) missing valuesMissing
2022-03 has 76 (44.7%) missing valuesMissing
2022-04 has 79 (46.5%) missing valuesMissing
2022-05 has 79 (46.5%) missing valuesMissing
2022-06 has 77 (45.3%) missing valuesMissing
2022-07 has 76 (44.7%) missing valuesMissing
2022-08 has 81 (47.6%) missing valuesMissing
2022-09 has 75 (44.1%) missing valuesMissing
2022-10 has 77 (45.3%) missing valuesMissing
2022-11 has 76 (44.7%) missing valuesMissing
2022-12 has 75 (44.1%) missing valuesMissing
2023-01 has 76 (44.7%) missing valuesMissing
2023-02 has 78 (45.9%) missing valuesMissing
2023-03 has 74 (43.5%) missing valuesMissing
2023-04 has 79 (46.5%) missing valuesMissing
2023-05 has 78 (45.9%) missing valuesMissing
2023-06 has 76 (44.7%) missing valuesMissing
구분 has unique valuesUnique
2018-01 has 2 (1.2%) zerosZeros
2018-02 has 2 (1.2%) zerosZeros
2018-03 has 3 (1.8%) zerosZeros
2018-04 has 2 (1.2%) zerosZeros
2018-05 has 2 (1.2%) zerosZeros
2018-06 has 3 (1.8%) zerosZeros
2018-07 has 4 (2.4%) zerosZeros
2018-08 has 4 (2.4%) zerosZeros
2018-09 has 6 (3.5%) zerosZeros
2018-11 has 3 (1.8%) zerosZeros
2019-06 has 2 (1.2%) zerosZeros
2019-08 has 3 (1.8%) zerosZeros
2019-09 has 3 (1.8%) zerosZeros
2020-01 has 2 (1.2%) zerosZeros
2020-03 has 2 (1.2%) zerosZeros
2020-04 has 3 (1.8%) zerosZeros
2020-06 has 2 (1.2%) zerosZeros
2020-07 has 2 (1.2%) zerosZeros
2020-08 has 3 (1.8%) zerosZeros
2020-09 has 4 (2.4%) zerosZeros
2020-10 has 2 (1.2%) zerosZeros
2020-11 has 2 (1.2%) zerosZeros
2021-01 has 2 (1.2%) zerosZeros
2021-02 has 2 (1.2%) zerosZeros
2021-03 has 2 (1.2%) zerosZeros
2021-04 has 2 (1.2%) zerosZeros
2021-05 has 2 (1.2%) zerosZeros
2021-06 has 3 (1.8%) zerosZeros
2021-07 has 5 (2.9%) zerosZeros
2021-08 has 6 (3.5%) zerosZeros
2021-09 has 4 (2.4%) zerosZeros
2022-01 has 2 (1.2%) zerosZeros
2022-02 has 3 (1.8%) zerosZeros
2022-03 has 2 (1.2%) zerosZeros
2022-04 has 2 (1.2%) zerosZeros
2022-06 has 5 (2.9%) zerosZeros
2022-07 has 4 (2.4%) zerosZeros
2022-08 has 4 (2.4%) zerosZeros
2022-09 has 4 (2.4%) zerosZeros
2022-11 has 2 (1.2%) zerosZeros
2022-12 has 2 (1.2%) zerosZeros
2023-01 has 2 (1.2%) zerosZeros
2023-02 has 3 (1.8%) zerosZeros
2023-03 has 3 (1.8%) zerosZeros
2023-04 has 2 (1.2%) zerosZeros
2023-06 has 6 (3.5%) zerosZeros

Reproduction

Analysis started2023-12-12 03:21:18.555698
Analysis finished2023-12-12 03:21:19.590481
Duration1.03 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Text

UNIQUE 

Distinct170
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T12:21:19.778917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length19
Mean length17.994118
Min length11

Characters and Unicode

Total characters3059
Distinct characters94
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique170 ?
Unique (%)100.0%

Sample

1st row제주제주시_농림수산업_무연보통휘발유
2nd row제주제주시_농림수산업_실내등유
3rd row제주제주시_농림수산업_경유(0.05%)
4th row제주제주시_농림수산업_경유(0.001%)
5th row제주제주시_농림수산업_경질중유(2.0%)
ValueCountFrequency (%)
제주제주시_농림수산업_무연보통휘발유 1
 
0.6%
제주서귀포시_요업_경유(0.001 1
 
0.6%
제주서귀포시_식품.담배업_중유(0.3 1
 
0.6%
제주서귀포시_건설업_실내등유 1
 
0.6%
제주서귀포시_식품.담배업_프로판 1
 
0.6%
제주서귀포시_제지.인쇄업_중유(0.3 1
 
0.6%
제주서귀포시_화학제품업_경유(0.001 1
 
0.6%
제주서귀포시_화학제품업_중유(0.3 1
 
0.6%
제주서귀포시_화학제품업_부생연료유(중유형 1
 
0.6%
제주서귀포시_요업_경유(0.05 1
 
0.6%
Other values (160) 160
94.1%
2023-12-12T12:21:20.306018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
_ 340
 
11.1%
제 295
 
9.6%
주 268
 
8.8%
시 170
 
5.6%
유 162
 
5.3%
0 150
 
4.9%
) 106
 
3.5%
( 106
 
3.5%
업 99
 
3.2%
. 98
 
3.2%
Other values (84) 1265
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2063
67.4%
Connector Punctuation 340
 
11.1%
Decimal Number 240
 
7.8%
Other Punctuation 185
 
6.0%
Close Punctuation 106
 
3.5%
Open Punctuation 106
 
3.5%
Uppercase Letter 16
 
0.5%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 295
 
14.3%
주 268
 
13.0%
시 170
 
8.2%
유 162
 
7.9%
업 99
 
4.8%
서 72
 
3.5%
귀 72
 
3.5%
포 72
 
3.5%
중 54
 
2.6%
경 51
 
2.5%
Other values (67) 748
36.3%
Decimal Number
ValueCountFrequency (%)
0 150
62.5%
3 34
 
14.2%
1 30
 
12.5%
5 18
 
7.5%
2 6
 
2.5%
4 2
 
0.8%
Uppercase Letter
ValueCountFrequency (%)
C 4
25.0%
A 3
18.8%
T 3
18.8%
E 3
18.8%
J 3
18.8%
Other Punctuation
ValueCountFrequency (%)
. 98
53.0%
% 87
47.0%
Connector Punctuation
ValueCountFrequency (%)
_ 340
100.0%
Close Punctuation
ValueCountFrequency (%)
) 106
100.0%
Open Punctuation
ValueCountFrequency (%)
( 106
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2063
67.4%
Common 980
32.0%
Latin 16
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 295
 
14.3%
주 268
 
13.0%
시 170
 
8.2%
유 162
 
7.9%
업 99
 
4.8%
서 72
 
3.5%
귀 72
 
3.5%
포 72
 
3.5%
중 54
 
2.6%
경 51
 
2.5%
Other values (67) 748
36.3%
Common
ValueCountFrequency (%)
_ 340
34.7%
0 150
15.3%
) 106
 
10.8%
( 106
 
10.8%
. 98
 
10.0%
% 87
 
8.9%
3 34
 
3.5%
1 30
 
3.1%
5 18
 
1.8%
2 6
 
0.6%
Other values (2) 5
 
0.5%
Latin
ValueCountFrequency (%)
C 4
25.0%
A 3
18.8%
T 3
18.8%
E 3
18.8%
J 3
18.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2063
67.4%
ASCII 996
32.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
_ 340
34.1%
0 150
15.1%
) 106
 
10.6%
( 106
 
10.6%
. 98
 
9.8%
% 87
 
8.7%
3 34
 
3.4%
1 30
 
3.0%
5 18
 
1.8%
2 6
 
0.6%
Other values (7) 21
 
2.1%
Hangul
ValueCountFrequency (%)
제 295
 
14.3%
주 268
 
13.0%
시 170
 
8.2%
유 162
 
7.9%
업 99
 
4.8%
서 72
 
3.5%
귀 72
 
3.5%
포 72
 
3.5%
중 54
 
2.6%
경 51
 
2.5%
Other values (67) 748
36.3%

2018-01
Real number (ℝ)

MISSING  ZEROS 

Distinct78
Distinct (%)71.6%
Missing61
Missing (%)35.9%
Infinite0
Infinite (%)0.0%
Mean1399.7431
Minimum0
Maximum19509
Zeros2
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:20.494875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q111
median35
Q3234
95-th percentile9113.4
Maximum19509
Range19509
Interquartile range (IQR)223

Descriptive statistics

Standard deviation3683.72
Coefficient of variation (CV)2.6317114
Kurtosis10.708169
Mean1399.7431
Median Absolute Deviation (MAD)31
Skewness3.2516558
Sum152572
Variance13569793
MonotonicityNot monotonic
2023-12-12T12:21:20.672679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 6
 
3.5%
20 4
 
2.4%
12 3
 
1.8%
16 3
 
1.8%
13 3
 
1.8%
2 3
 
1.8%
5 3
 
1.8%
59 2
 
1.2%
17 2
 
1.2%
22 2
 
1.2%
Other values (68) 78
45.9%
(Missing) 61
35.9%
ValueCountFrequency (%)
0 2
 
1.2%
1 2
 
1.2%
2 3
1.8%
3 1
 
0.6%
4 6
3.5%
5 3
1.8%
6 2
 
1.2%
7 2
 
1.2%
8 2
 
1.2%
9 1
 
0.6%
ValueCountFrequency (%)
19509 1
0.6%
17899 1
0.6%
15410 1
0.6%
12883 1
0.6%
11322 1
0.6%
9513 1
0.6%
8514 1
0.6%
7880 1
0.6%
7697 1
0.6%
7014 1
0.6%

2018-02
Real number (ℝ)

MISSING  ZEROS 

Distinct74
Distinct (%)69.8%
Missing64
Missing (%)37.6%
Infinite0
Infinite (%)0.0%
Mean1394.7075
Minimum0
Maximum17507
Zeros2
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:20.833899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19.25
median40
Q3435.5
95-th percentile8261.75
Maximum17507
Range17507
Interquartile range (IQR)426.25

Descriptive statistics

Standard deviation3432.3578
Coefficient of variation (CV)2.4609875
Kurtosis10.745455
Mean1394.7075
Median Absolute Deviation (MAD)37
Skewness3.2549127
Sum147839
Variance11781080
MonotonicityNot monotonic
2023-12-12T12:21:20.986364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 5
 
2.9%
8 4
 
2.4%
3 4
 
2.4%
4 4
 
2.4%
2 4
 
2.4%
36 3
 
1.8%
1 3
 
1.8%
18 3
 
1.8%
13 3
 
1.8%
20 3
 
1.8%
Other values (64) 70
41.2%
(Missing) 64
37.6%
ValueCountFrequency (%)
0 2
1.2%
1 3
1.8%
2 4
2.4%
3 4
2.4%
4 4
2.4%
5 1
 
0.6%
6 2
1.2%
7 1
 
0.6%
8 4
2.4%
9 2
1.2%
ValueCountFrequency (%)
17507 1
0.6%
16541 1
0.6%
15475 1
0.6%
13390 1
0.6%
9020 1
0.6%
8273 1
0.6%
8228 1
0.6%
6805 1
0.6%
6563 1
0.6%
6041 1
0.6%

2018-03
Real number (ℝ)

MISSING  ZEROS 

Distinct74
Distinct (%)67.3%
Missing60
Missing (%)35.3%
Infinite0
Infinite (%)0.0%
Mean1288.1364
Minimum0
Maximum21188
Zeros3
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:21.139157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18.25
median33
Q3330.75
95-th percentile8078.8
Maximum21188
Range21188
Interquartile range (IQR)322.5

Descriptive statistics

Standard deviation3589.607
Coefficient of variation (CV)2.786667
Kurtosis16.710101
Mean1288.1364
Median Absolute Deviation (MAD)30
Skewness3.9335178
Sum141695
Variance12885279
MonotonicityNot monotonic
2023-12-12T12:21:21.315321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 5
 
2.9%
6 4
 
2.4%
1 4
 
2.4%
3 3
 
1.8%
0 3
 
1.8%
20 3
 
1.8%
18 3
 
1.8%
5 3
 
1.8%
16 3
 
1.8%
22 3
 
1.8%
Other values (64) 76
44.7%
(Missing) 60
35.3%
ValueCountFrequency (%)
0 3
1.8%
1 4
2.4%
2 2
 
1.2%
3 3
1.8%
4 5
2.9%
5 3
1.8%
6 4
2.4%
7 2
 
1.2%
8 2
 
1.2%
9 2
 
1.2%
ValueCountFrequency (%)
21188 1
0.6%
20338 1
0.6%
13423 1
0.6%
12582 1
0.6%
10503 1
0.6%
9013 1
0.6%
6937 1
0.6%
4815 1
0.6%
4721 1
0.6%
4331 1
0.6%

2018-04
Real number (ℝ)

MISSING  ZEROS 

Distinct74
Distinct (%)69.2%
Missing63
Missing (%)37.1%
Infinite0
Infinite (%)0.0%
Mean1214.4766
Minimum0
Maximum21593
Zeros2
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:21.459502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q18.5
median40
Q3288.5
95-th percentile6923.9
Maximum21593
Range21593
Interquartile range (IQR)280

Descriptive statistics

Standard deviation3542.6175
Coefficient of variation (CV)2.916991
Kurtosis19.578274
Mean1214.4766
Median Absolute Deviation (MAD)37
Skewness4.2370304
Sum129949
Variance12550138
MonotonicityNot monotonic
2023-12-12T12:21:21.618623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 7
 
4.1%
4 5
 
2.9%
18 4
 
2.4%
40 4
 
2.4%
8 4
 
2.4%
12 4
 
2.4%
1 3
 
1.8%
24 3
 
1.8%
0 2
 
1.2%
64 2
 
1.2%
Other values (64) 69
40.6%
(Missing) 63
37.1%
ValueCountFrequency (%)
0 2
 
1.2%
1 3
1.8%
2 2
 
1.2%
3 7
4.1%
4 5
2.9%
6 2
 
1.2%
7 2
 
1.2%
8 4
2.4%
9 1
 
0.6%
11 1
 
0.6%
ValueCountFrequency (%)
21593 1
0.6%
20710 1
0.6%
14078 1
0.6%
10371 1
0.6%
9037 1
0.6%
7193 1
0.6%
6296 1
0.6%
4816 1
0.6%
4306 1
0.6%
4258 1
0.6%

2018-05
Real number (ℝ)

MISSING  ZEROS 

Distinct72
Distinct (%)70.6%
Missing68
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean1197.1863
Minimum0
Maximum19894
Zeros2
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:21.802993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q16.25
median31.5
Q3233.25
95-th percentile8548.65
Maximum19894
Range19894
Interquartile range (IQR)227

Descriptive statistics

Standard deviation3434.6376
Coefficient of variation (CV)2.868925
Kurtosis14.856684
Mean1197.1863
Median Absolute Deviation (MAD)29.5
Skewness3.7493279
Sum122113
Variance11796735
MonotonicityNot monotonic
2023-12-12T12:21:22.062829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 8
 
4.7%
4 5
 
2.9%
3 5
 
2.9%
11 3
 
1.8%
1 3
 
1.8%
7 3
 
1.8%
15 3
 
1.8%
71 2
 
1.2%
13 2
 
1.2%
9 2
 
1.2%
Other values (62) 66
38.8%
(Missing) 68
40.0%
ValueCountFrequency (%)
0 2
 
1.2%
1 3
 
1.8%
2 8
4.7%
3 5
2.9%
4 5
2.9%
5 1
 
0.6%
6 2
 
1.2%
7 3
 
1.8%
8 1
 
0.6%
9 2
 
1.2%
ValueCountFrequency (%)
19894 1
0.6%
17888 1
0.6%
12922 1
0.6%
10433 1
0.6%
9827 1
0.6%
8604 1
0.6%
7497 1
0.6%
7122 1
0.6%
4410 1
0.6%
4214 1
0.6%

2018-06
Real number (ℝ)

MISSING  ZEROS 

Distinct71
Distinct (%)68.3%
Missing66
Missing (%)38.8%
Infinite0
Infinite (%)0.0%
Mean1148.3942
Minimum0
Maximum21095
Zeros3
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:22.226483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17
median25
Q3126.5
95-th percentile6985.4
Maximum21095
Range21095
Interquartile range (IQR)119.5

Descriptive statistics

Standard deviation3413.5979
Coefficient of variation (CV)2.9724965
Kurtosis17.460211
Mean1148.3942
Median Absolute Deviation (MAD)22
Skewness4.0477828
Sum119433
Variance11652650
MonotonicityNot monotonic
2023-12-12T12:21:22.520500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 6
 
3.5%
3 6
 
3.5%
1 4
 
2.4%
18 4
 
2.4%
16 3
 
1.8%
0 3
 
1.8%
26 3
 
1.8%
12 3
 
1.8%
17 3
 
1.8%
6 2
 
1.2%
Other values (61) 67
39.4%
(Missing) 66
38.8%
ValueCountFrequency (%)
0 3
1.8%
1 4
2.4%
2 2
 
1.2%
3 6
3.5%
4 6
3.5%
5 2
 
1.2%
6 2
 
1.2%
7 2
 
1.2%
9 2
 
1.2%
10 1
 
0.6%
ValueCountFrequency (%)
21095 1
0.6%
16203 1
0.6%
15704 1
0.6%
11185 1
0.6%
9240 1
0.6%
7295 1
0.6%
5231 1
0.6%
4531 1
0.6%
4525 1
0.6%
3395 1
0.6%

2018-07
Real number (ℝ)

MISSING  ZEROS 

Distinct69
Distinct (%)65.7%
Missing65
Missing (%)38.2%
Infinite0
Infinite (%)0.0%
Mean1217.5429
Minimum0
Maximum21019
Zeros4
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:22.676952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median24
Q3162
95-th percentile8855.6
Maximum21019
Range21019
Interquartile range (IQR)154

Descriptive statistics

Standard deviation3629.5426
Coefficient of variation (CV)2.9810389
Kurtosis13.924034
Mean1217.5429
Median Absolute Deviation (MAD)22
Skewness3.6883877
Sum127842
Variance13173580
MonotonicityNot monotonic
2023-12-12T12:21:22.849048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 7
 
4.1%
4 5
 
2.9%
8 4
 
2.4%
3 4
 
2.4%
0 4
 
2.4%
9 4
 
2.4%
11 4
 
2.4%
13 3
 
1.8%
2 3
 
1.8%
29 2
 
1.2%
Other values (59) 65
38.2%
(Missing) 65
38.2%
ValueCountFrequency (%)
0 4
2.4%
1 7
4.1%
2 3
1.8%
3 4
2.4%
4 5
2.9%
5 2
 
1.2%
6 1
 
0.6%
8 4
2.4%
9 4
2.4%
11 4
2.4%
ValueCountFrequency (%)
21019 1
0.6%
16759 1
0.6%
15396 1
0.6%
12774 1
0.6%
11741 1
0.6%
9053 1
0.6%
8066 1
0.6%
6212 1
0.6%
5469 1
0.6%
4616 1
0.6%

2018-08
Real number (ℝ)

MISSING  ZEROS 

Distinct68
Distinct (%)66.7%
Missing68
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean1337.1765
Minimum0
Maximum21876
Zeros4
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:23.018574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17.25
median22.5
Q3187.25
95-th percentile9562.25
Maximum21876
Range21876
Interquartile range (IQR)180

Descriptive statistics

Standard deviation3786.7326
Coefficient of variation (CV)2.831887
Kurtosis12.944943
Mean1337.1765
Median Absolute Deviation (MAD)20.5
Skewness3.523492
Sum136392
Variance14339344
MonotonicityNot monotonic
2023-12-12T12:21:23.172855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 6
 
3.5%
3 6
 
3.5%
1 5
 
2.9%
0 4
 
2.4%
2 3
 
1.8%
15 3
 
1.8%
9 3
 
1.8%
13 2
 
1.2%
5 2
 
1.2%
59 2
 
1.2%
Other values (58) 66
38.8%
(Missing) 68
40.0%
ValueCountFrequency (%)
0 4
2.4%
1 5
2.9%
2 3
1.8%
3 6
3.5%
4 2
 
1.2%
5 2
 
1.2%
6 2
 
1.2%
7 2
 
1.2%
8 1
 
0.6%
9 3
1.8%
ValueCountFrequency (%)
21876 1
0.6%
17744 1
0.6%
13168 1
0.6%
12964 1
0.6%
12347 1
0.6%
9625 1
0.6%
8370 1
0.6%
8351 1
0.6%
6686 1
0.6%
4930 1
0.6%

2018-09
Real number (ℝ)

MISSING  ZEROS 

Distinct66
Distinct (%)64.7%
Missing68
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean1172.6373
Minimum0
Maximum19176
Zeros6
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:23.723997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.05
Q18
median24
Q3137.75
95-th percentile8426.1
Maximum19176
Range19176
Interquartile range (IQR)129.75

Descriptive statistics

Standard deviation3344.3488
Coefficient of variation (CV)2.8519892
Kurtosis13.877473
Mean1172.6373
Median Absolute Deviation (MAD)21
Skewness3.6511855
Sum119609
Variance11184669
MonotonicityNot monotonic
2023-12-12T12:21:23.922858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
13 7
 
4.1%
0 6
 
3.5%
3 5
 
2.9%
11 4
 
2.4%
4 4
 
2.4%
1 3
 
1.8%
24 3
 
1.8%
14 2
 
1.2%
9 2
 
1.2%
101 2
 
1.2%
Other values (56) 64
37.6%
(Missing) 68
40.0%
ValueCountFrequency (%)
0 6
3.5%
1 3
1.8%
2 1
 
0.6%
3 5
2.9%
4 4
2.4%
5 2
 
1.2%
6 2
 
1.2%
7 2
 
1.2%
8 2
 
1.2%
9 2
 
1.2%
ValueCountFrequency (%)
19176 1
0.6%
16655 1
0.6%
12151 1
0.6%
11434 1
0.6%
10904 1
0.6%
8489 1
0.6%
7231 1
0.6%
5587 1
0.6%
4399 1
0.6%
4000 1
0.6%

2018-10
Real number (ℝ)

MISSING 

Distinct73
Distinct (%)71.6%
Missing68
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean1042.5882
Minimum1
Maximum18342
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:24.126126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.05
Q112.25
median29
Q3123.75
95-th percentile7467.85
Maximum18342
Range18341
Interquartile range (IQR)111.5

Descriptive statistics

Standard deviation3064.5534
Coefficient of variation (CV)2.9393707
Kurtosis16.873653
Mean1042.5882
Median Absolute Deviation (MAD)25
Skewness3.9529455
Sum106344
Variance9391487.3
MonotonicityNot monotonic
2023-12-12T12:21:24.365728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 5
 
2.9%
3 4
 
2.4%
2 3
 
1.8%
6 3
 
1.8%
13 3
 
1.8%
16 3
 
1.8%
23 3
 
1.8%
1 3
 
1.8%
15 2
 
1.2%
4 2
 
1.2%
Other values (63) 71
41.8%
(Missing) 68
40.0%
ValueCountFrequency (%)
1 3
1.8%
2 3
1.8%
3 4
2.4%
4 2
 
1.2%
6 3
1.8%
7 5
2.9%
8 2
 
1.2%
10 2
 
1.2%
11 1
 
0.6%
12 1
 
0.6%
ValueCountFrequency (%)
18342 1
0.6%
16485 1
0.6%
11570 1
0.6%
8580 1
0.6%
8247 1
0.6%
7519 1
0.6%
6496 1
0.6%
3941 1
0.6%
3881 1
0.6%
3569 1
0.6%

2018-11
Real number (ℝ)

MISSING  ZEROS 

Distinct77
Distinct (%)70.0%
Missing60
Missing (%)35.3%
Infinite0
Infinite (%)0.0%
Mean1129.4455
Minimum0
Maximum20619
Zeros3
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:24.580982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19.25
median39
Q3146.75
95-th percentile6822.9
Maximum20619
Range20619
Interquartile range (IQR)137.5

Descriptive statistics

Standard deviation3358.3898
Coefficient of variation (CV)2.9734856
Kurtosis19.454904
Mean1129.4455
Median Absolute Deviation (MAD)35.5
Skewness4.2020968
Sum124239
Variance11278782
MonotonicityNot monotonic
2023-12-12T12:21:24.798543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 9
 
5.3%
16 6
 
3.5%
3 5
 
2.9%
0 3
 
1.8%
40 3
 
1.8%
8 3
 
1.8%
31 2
 
1.2%
17 2
 
1.2%
2 2
 
1.2%
18 2
 
1.2%
Other values (67) 73
42.9%
(Missing) 60
35.3%
ValueCountFrequency (%)
0 3
 
1.8%
1 2
 
1.2%
2 2
 
1.2%
3 5
2.9%
4 9
5.3%
5 1
 
0.6%
6 1
 
0.6%
8 3
 
1.8%
9 2
 
1.2%
10 1
 
0.6%
ValueCountFrequency (%)
20619 1
0.6%
19856 1
0.6%
11769 1
0.6%
10581 1
0.6%
9537 1
0.6%
7119 1
0.6%
6461 1
0.6%
4568 1
0.6%
4309 1
0.6%
4288 1
0.6%

2018-12
Real number (ℝ)

MISSING 

Distinct81
Distinct (%)71.1%
Missing56
Missing (%)32.9%
Infinite0
Infinite (%)0.0%
Mean1147.9737
Minimum0
Maximum20386
Zeros1
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:24.975696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q110.25
median45.5
Q3233
95-th percentile7825.2
Maximum20386
Range20386
Interquartile range (IQR)222.75

Descriptive statistics

Standard deviation3244.5799
Coefficient of variation (CV)2.8263539
Kurtosis16.523599
Mean1147.9737
Median Absolute Deviation (MAD)41.5
Skewness3.8798167
Sum130869
Variance10527299
MonotonicityNot monotonic
2023-12-12T12:21:25.145467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 8
 
4.7%
5 4
 
2.4%
1 4
 
2.4%
12 3
 
1.8%
19 3
 
1.8%
11 3
 
1.8%
2 3
 
1.8%
41 3
 
1.8%
3 2
 
1.2%
233 2
 
1.2%
Other values (71) 79
46.5%
(Missing) 56
32.9%
ValueCountFrequency (%)
0 1
 
0.6%
1 4
2.4%
2 3
 
1.8%
3 2
 
1.2%
4 8
4.7%
5 4
2.4%
6 1
 
0.6%
7 1
 
0.6%
8 2
 
1.2%
9 1
 
0.6%
ValueCountFrequency (%)
20386 1
0.6%
16976 1
0.6%
11527 1
0.6%
10626 1
0.6%
9884 1
0.6%
9497 1
0.6%
6925 1
0.6%
6416 1
0.6%
5568 1
0.6%
4845 1
0.6%

2019-01
Real number (ℝ)

MISSING 

Distinct79
Distinct (%)75.2%
Missing65
Missing (%)38.2%
Infinite0
Infinite (%)0.0%
Mean1379.219
Minimum0
Maximum21568
Zeros1
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:25.314286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19
median38
Q3258
95-th percentile9536
Maximum21568
Range21568
Interquartile range (IQR)249

Descriptive statistics

Standard deviation3658.6653
Coefficient of variation (CV)2.6527079
Kurtosis13.485847
Mean1379.219
Median Absolute Deviation (MAD)35
Skewness3.5282183
Sum144818
Variance13385832
MonotonicityNot monotonic
2023-12-12T12:21:25.508069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 5
 
2.9%
6 5
 
2.9%
2 4
 
2.4%
8 3
 
1.8%
18 2
 
1.2%
1 2
 
1.2%
21 2
 
1.2%
5 2
 
1.2%
29 2
 
1.2%
24 2
 
1.2%
Other values (69) 76
44.7%
(Missing) 65
38.2%
ValueCountFrequency (%)
0 1
 
0.6%
1 2
 
1.2%
2 4
2.4%
3 2
 
1.2%
4 5
2.9%
5 2
 
1.2%
6 5
2.9%
7 1
 
0.6%
8 3
1.8%
9 2
 
1.2%
ValueCountFrequency (%)
21568 1
0.6%
18087 1
0.6%
13103 1
0.6%
11489 1
0.6%
10889 1
0.6%
9936 1
0.6%
7936 1
0.6%
7180 1
0.6%
6423 1
0.6%
5589 1
0.6%

2019-02
Real number (ℝ)

MISSING 

Distinct74
Distinct (%)69.2%
Missing63
Missing (%)37.1%
Infinite0
Infinite (%)0.0%
Mean1117.4299
Minimum0
Maximum18075
Zeros1
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:25.664826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q110
median39
Q3256
95-th percentile7021.6
Maximum18075
Range18075
Interquartile range (IQR)246

Descriptive statistics

Standard deviation3057.63
Coefficient of variation (CV)2.7363059
Kurtosis15.542633
Mean1117.4299
Median Absolute Deviation (MAD)35
Skewness3.7649973
Sum119565
Variance9349101.4
MonotonicityNot monotonic
2023-12-12T12:21:25.834566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 5
 
2.9%
4 5
 
2.9%
6 4
 
2.4%
31 3
 
1.8%
10 3
 
1.8%
2 3
 
1.8%
1 3
 
1.8%
41 3
 
1.8%
40 2
 
1.2%
21 2
 
1.2%
Other values (64) 74
43.5%
(Missing) 63
37.1%
ValueCountFrequency (%)
0 1
 
0.6%
1 3
1.8%
2 3
1.8%
3 2
 
1.2%
4 5
2.9%
5 5
2.9%
6 4
2.4%
7 2
 
1.2%
9 1
 
0.6%
10 3
1.8%
ValueCountFrequency (%)
18075 1
0.6%
16774 1
0.6%
10771 1
0.6%
9876 1
0.6%
7732 1
0.6%
7306 1
0.6%
6358 1
0.6%
6258 1
0.6%
5665 1
0.6%
4984 1
0.6%

2019-03
Real number (ℝ)

MISSING 

Distinct74
Distinct (%)72.5%
Missing68
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean1499.9804
Minimum0
Maximum20914
Zeros1
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:26.018328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q110.5
median37
Q3340.75
95-th percentile10740.5
Maximum20914
Range20914
Interquartile range (IQR)330.25

Descriptive statistics

Standard deviation3814.8894
Coefficient of variation (CV)2.5432928
Kurtosis11.128085
Mean1499.9804
Median Absolute Deviation (MAD)33
Skewness3.2553978
Sum152998
Variance14553381
MonotonicityNot monotonic
2023-12-12T12:21:26.185148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 5
 
2.9%
4 4
 
2.4%
5 4
 
2.4%
10 3
 
1.8%
17 3
 
1.8%
16 3
 
1.8%
35 3
 
1.8%
13 3
 
1.8%
47 2
 
1.2%
89 2
 
1.2%
Other values (64) 70
41.2%
(Missing) 68
40.0%
ValueCountFrequency (%)
0 1
 
0.6%
1 2
 
1.2%
2 2
 
1.2%
3 2
 
1.2%
4 4
2.4%
5 4
2.4%
6 5
2.9%
7 1
 
0.6%
8 2
 
1.2%
10 3
1.8%
ValueCountFrequency (%)
20914 1
0.6%
18827 1
0.6%
13292 1
0.6%
11200 1
0.6%
11053 1
0.6%
10788 1
0.6%
9838 1
0.6%
9447 1
0.6%
6816 1
0.6%
4944 1
0.6%

2019-04
Real number (ℝ)

MISSING 

Distinct74
Distinct (%)71.2%
Missing66
Missing (%)38.8%
Infinite0
Infinite (%)0.0%
Mean1437.5673
Minimum0
Maximum22120
Zeros1
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:26.353431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q112.5
median40.5
Q3168.5
95-th percentile10722.8
Maximum22120
Range22120
Interquartile range (IQR)156

Descriptive statistics

Standard deviation3929.7017
Coefficient of variation (CV)2.7335775
Kurtosis12.391058
Mean1437.5673
Median Absolute Deviation (MAD)34.5
Skewness3.4634745
Sum149507
Variance15442556
MonotonicityNot monotonic
2023-12-12T12:21:26.546200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 6
 
3.5%
4 4
 
2.4%
8 3
 
1.8%
25 3
 
1.8%
30 3
 
1.8%
11 3
 
1.8%
21 3
 
1.8%
18 2
 
1.2%
19 2
 
1.2%
13 2
 
1.2%
Other values (64) 73
42.9%
(Missing) 66
38.8%
ValueCountFrequency (%)
0 1
 
0.6%
1 1
 
0.6%
2 1
 
0.6%
3 2
 
1.2%
4 4
2.4%
5 1
 
0.6%
6 6
3.5%
7 2
 
1.2%
8 3
1.8%
9 2
 
1.2%
ValueCountFrequency (%)
22120 1
0.6%
18402 1
0.6%
16238 1
0.6%
13505 1
0.6%
11265 1
0.6%
10961 1
0.6%
9373 1
0.6%
7067 1
0.6%
5876 1
0.6%
5375 1
0.6%

2019-05
Real number (ℝ)

MISSING 

Distinct73
Distinct (%)75.3%
Missing73
Missing (%)42.9%
Infinite0
Infinite (%)0.0%
Mean1294.0103
Minimum0
Maximum19846
Zeros1
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:26.728838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q114
median42
Q3188
95-th percentile9612.2
Maximum19846
Range19846
Interquartile range (IQR)174

Descriptive statistics

Standard deviation3599.9641
Coefficient of variation (CV)2.7820212
Kurtosis13.20977
Mean1294.0103
Median Absolute Deviation (MAD)38
Skewness3.5888573
Sum125519
Variance12959741
MonotonicityNot monotonic
2023-12-12T12:21:26.923699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 4
 
2.4%
2 4
 
2.4%
12 4
 
2.4%
4 4
 
2.4%
42 3
 
1.8%
1 3
 
1.8%
30 2
 
1.2%
14 2
 
1.2%
27 2
 
1.2%
19 2
 
1.2%
Other values (63) 67
39.4%
(Missing) 73
42.9%
ValueCountFrequency (%)
0 1
 
0.6%
1 3
1.8%
2 4
2.4%
3 1
 
0.6%
4 4
2.4%
5 1
 
0.6%
6 2
1.2%
7 2
1.2%
9 1
 
0.6%
11 1
 
0.6%
ValueCountFrequency (%)
19846 1
0.6%
17460 1
0.6%
15420 1
0.6%
10423 1
0.6%
10265 1
0.6%
9449 1
0.6%
7365 1
0.6%
6770 1
0.6%
3853 1
0.6%
3753 1
0.6%

2019-06
Real number (ℝ)

MISSING  ZEROS 

Distinct72
Distinct (%)74.2%
Missing73
Missing (%)42.9%
Infinite0
Infinite (%)0.0%
Mean1334.5979
Minimum0
Maximum21033
Zeros2
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:27.117767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q110
median30
Q3141
95-th percentile9240.8
Maximum21033
Range21033
Interquartile range (IQR)131

Descriptive statistics

Standard deviation3877.063
Coefficient of variation (CV)2.905042
Kurtosis13.685942
Mean1334.5979
Median Absolute Deviation (MAD)27
Skewness3.6780487
Sum129456
Variance15031618
MonotonicityNot monotonic
2023-12-12T12:21:27.277938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 7
 
4.1%
2 4
 
2.4%
10 3
 
1.8%
7 3
 
1.8%
21 3
 
1.8%
12 2
 
1.2%
45 2
 
1.2%
1 2
 
1.2%
122 2
 
1.2%
30 2
 
1.2%
Other values (62) 67
39.4%
(Missing) 73
42.9%
ValueCountFrequency (%)
0 2
 
1.2%
1 2
 
1.2%
2 4
2.4%
3 1
 
0.6%
4 7
4.1%
5 1
 
0.6%
6 1
 
0.6%
7 3
1.8%
8 1
 
0.6%
9 2
 
1.2%
ValueCountFrequency (%)
21033 1
0.6%
18272 1
0.6%
18165 1
0.6%
12074 1
0.6%
11504 1
0.6%
8675 1
0.6%
6599 1
0.6%
6483 1
0.6%
4937 1
0.6%
4514 1
0.6%

2019-07
Real number (ℝ)

MISSING 

Distinct73
Distinct (%)73.7%
Missing71
Missing (%)41.8%
Infinite0
Infinite (%)0.0%
Mean1327.8182
Minimum0
Maximum20489
Zeros1
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:27.455623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.9
Q111.5
median40
Q3198
95-th percentile8326.1
Maximum20489
Range20489
Interquartile range (IQR)186.5

Descriptive statistics

Standard deviation3868.6726
Coefficient of variation (CV)2.913556
Kurtosis14.126157
Mean1327.8182
Median Absolute Deviation (MAD)33
Skewness3.7345809
Sum131454
Variance14966628
MonotonicityNot monotonic
2023-12-12T12:21:27.626027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 5
 
2.9%
1 4
 
2.4%
10 4
 
2.4%
3 3
 
1.8%
25 3
 
1.8%
28 2
 
1.2%
21 2
 
1.2%
53 2
 
1.2%
24 2
 
1.2%
18 2
 
1.2%
Other values (63) 70
41.2%
(Missing) 71
41.8%
ValueCountFrequency (%)
0 1
 
0.6%
1 4
2.4%
2 1
 
0.6%
3 3
1.8%
4 1
 
0.6%
5 5
2.9%
7 1
 
0.6%
8 2
 
1.2%
9 2
 
1.2%
10 4
2.4%
ValueCountFrequency (%)
20489 1
0.6%
18986 1
0.6%
18911 1
0.6%
12634 1
0.6%
10505 1
0.6%
8084 1
0.6%
7628 1
0.6%
5450 1
0.6%
5307 1
0.6%
4207 1
0.6%

2019-08
Real number (ℝ)

MISSING  ZEROS 

Distinct67
Distinct (%)70.5%
Missing75
Missing (%)44.1%
Infinite0
Infinite (%)0.0%
Mean1505.4
Minimum0
Maximum23833
Zeros3
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:27.790621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q112
median29
Q3204
95-th percentile11156
Maximum23833
Range23833
Interquartile range (IQR)192

Descriptive statistics

Standard deviation4382.6671
Coefficient of variation (CV)2.9112974
Kurtosis13.519345
Mean1505.4
Median Absolute Deviation (MAD)25
Skewness3.6613761
Sum143013
Variance19207771
MonotonicityNot monotonic
2023-12-12T12:21:27.987468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14 5
 
2.9%
13 4
 
2.4%
5 3
 
1.8%
1 3
 
1.8%
11 3
 
1.8%
16 3
 
1.8%
4 3
 
1.8%
0 3
 
1.8%
24 3
 
1.8%
15 2
 
1.2%
Other values (57) 63
37.1%
(Missing) 75
44.1%
ValueCountFrequency (%)
0 3
1.8%
1 3
1.8%
2 1
 
0.6%
3 1
 
0.6%
4 3
1.8%
5 3
1.8%
6 1
 
0.6%
7 2
1.2%
8 1
 
0.6%
9 1
 
0.6%
ValueCountFrequency (%)
23833 1
0.6%
20446 1
0.6%
20028 1
0.6%
13704 1
0.6%
12143 1
0.6%
10733 1
0.6%
8668 1
0.6%
5763 1
0.6%
5150 1
0.6%
3913 1
0.6%

2019-09
Real number (ℝ)

MISSING  ZEROS 

Distinct66
Distinct (%)68.0%
Missing73
Missing (%)42.9%
Infinite0
Infinite (%)0.0%
Mean966.43299
Minimum0
Maximum21671
Zeros3
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:28.185324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q19
median27
Q396
95-th percentile6253.2
Maximum21671
Range21671
Interquartile range (IQR)87

Descriptive statistics

Standard deviation2982.4082
Coefficient of variation (CV)3.0859958
Kurtosis27.094058
Mean966.43299
Median Absolute Deviation (MAD)24
Skewness4.772423
Sum93744
Variance8894758.5
MonotonicityNot monotonic
2023-12-12T12:21:28.358502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 4
 
2.4%
2 4
 
2.4%
4 3
 
1.8%
1 3
 
1.8%
9 3
 
1.8%
0 3
 
1.8%
18 3
 
1.8%
8 3
 
1.8%
23 3
 
1.8%
27 2
 
1.2%
Other values (56) 66
38.8%
(Missing) 73
42.9%
ValueCountFrequency (%)
0 3
1.8%
1 3
1.8%
2 4
2.4%
3 2
1.2%
4 3
1.8%
6 2
1.2%
7 2
1.2%
8 3
1.8%
9 3
1.8%
10 1
 
0.6%
ValueCountFrequency (%)
21671 1
0.6%
13524 1
0.6%
8286 1
0.6%
7005 1
0.6%
6774 1
0.6%
6123 1
0.6%
5803 1
0.6%
3559 1
0.6%
3297 1
0.6%
3278 1
0.6%

2019-10
Real number (ℝ)

MISSING 

Distinct71
Distinct (%)70.3%
Missing69
Missing (%)40.6%
Infinite0
Infinite (%)0.0%
Mean1137.8218
Minimum1
Maximum23375
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:28.504927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q114
median30
Q3151
95-th percentile6689
Maximum23375
Range23374
Interquartile range (IQR)137

Descriptive statistics

Standard deviation3516.0878
Coefficient of variation (CV)3.090192
Kurtosis23.609424
Mean1137.8218
Median Absolute Deviation (MAD)25
Skewness4.5815139
Sum114920
Variance12362873
MonotonicityNot monotonic
2023-12-12T12:21:28.655458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 6
 
3.5%
23 4
 
2.4%
5 4
 
2.4%
24 3
 
1.8%
14 3
 
1.8%
18 3
 
1.8%
16 2
 
1.2%
1 2
 
1.2%
4 2
 
1.2%
17 2
 
1.2%
Other values (61) 70
41.2%
(Missing) 69
40.6%
ValueCountFrequency (%)
1 2
 
1.2%
2 6
3.5%
3 1
 
0.6%
4 2
 
1.2%
5 4
2.4%
6 1
 
0.6%
7 1
 
0.6%
8 2
 
1.2%
9 2
 
1.2%
11 2
 
1.2%
ValueCountFrequency (%)
23375 1
0.6%
19915 1
0.6%
10547 1
0.6%
9043 1
0.6%
7330 1
0.6%
6689 1
0.6%
6488 1
0.6%
4705 1
0.6%
4592 1
0.6%
4094 1
0.6%

2019-11
Real number (ℝ)

MISSING 

Distinct71
Distinct (%)66.4%
Missing63
Missing (%)37.1%
Infinite0
Infinite (%)0.0%
Mean1109.1869
Minimum0
Maximum20794
Zeros1
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:29.174170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q110.5
median27
Q3154
95-th percentile7480.9
Maximum20794
Range20794
Interquartile range (IQR)143.5

Descriptive statistics

Standard deviation3293.07
Coefficient of variation (CV)2.9689044
Kurtosis19.685391
Mean1109.1869
Median Absolute Deviation (MAD)25
Skewness4.1745642
Sum118683
Variance10844310
MonotonicityNot monotonic
2023-12-12T12:21:29.333794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 7
 
4.1%
8 6
 
3.5%
10 4
 
2.4%
16 4
 
2.4%
18 3
 
1.8%
5 3
 
1.8%
15 3
 
1.8%
26 3
 
1.8%
62 3
 
1.8%
3 3
 
1.8%
Other values (61) 68
40.0%
(Missing) 63
37.1%
ValueCountFrequency (%)
0 1
 
0.6%
1 1
 
0.6%
2 7
4.1%
3 3
1.8%
5 3
1.8%
6 1
 
0.6%
8 6
3.5%
9 1
 
0.6%
10 4
2.4%
11 1
 
0.6%
ValueCountFrequency (%)
20794 1
0.6%
18949 1
0.6%
10221 1
0.6%
8690 1
0.6%
7733 1
0.6%
7690 1
0.6%
6993 1
0.6%
6502 1
0.6%
5139 1
0.6%
4786 1
0.6%

2019-12
Real number (ℝ)

MISSING 

Distinct82
Distinct (%)78.1%
Missing65
Missing (%)38.2%
Infinite0
Infinite (%)0.0%
Mean1148.9524
Minimum0
Maximum22252
Zeros1
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:29.478130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q114
median57
Q3240
95-th percentile6469
Maximum22252
Range22252
Interquartile range (IQR)226

Descriptive statistics

Standard deviation3348.6735
Coefficient of variation (CV)2.9145451
Kurtosis22.756838
Mean1148.9524
Median Absolute Deviation (MAD)52
Skewness4.478808
Sum120640
Variance11213614
MonotonicityNot monotonic
2023-12-12T12:21:29.623558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 5
 
2.9%
4 5
 
2.9%
5 4
 
2.4%
10 3
 
1.8%
19 2
 
1.2%
53 2
 
1.2%
20 2
 
1.2%
57 2
 
1.2%
42 2
 
1.2%
90 2
 
1.2%
Other values (72) 76
44.7%
(Missing) 65
38.2%
ValueCountFrequency (%)
0 1
 
0.6%
1 1
 
0.6%
2 5
2.9%
3 2
 
1.2%
4 5
2.9%
5 4
2.4%
6 1
 
0.6%
8 1
 
0.6%
9 1
 
0.6%
10 3
1.8%
ValueCountFrequency (%)
22252 1
0.6%
19162 1
0.6%
10377 1
0.6%
9255 1
0.6%
7697 1
0.6%
6643 1
0.6%
5773 1
0.6%
5023 1
0.6%
4664 1
0.6%
4502 1
0.6%

2020-01
Real number (ℝ)

MISSING  ZEROS 

Distinct78
Distinct (%)77.2%
Missing69
Missing (%)40.6%
Infinite0
Infinite (%)0.0%
Mean1065.0099
Minimum0
Maximum18405
Zeros2
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:29.751676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19
median58
Q3221
95-th percentile6779
Maximum18405
Range18405
Interquartile range (IQR)212

Descriptive statistics

Standard deviation2888.4088
Coefficient of variation (CV)2.7120958
Kurtosis17.824566
Mean1065.0099
Median Absolute Deviation (MAD)54
Skewness3.9489372
Sum107566
Variance8342905.6
MonotonicityNot monotonic
2023-12-12T12:21:29.891036image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 6
 
3.5%
2 4
 
2.4%
3 3
 
1.8%
9 3
 
1.8%
5 3
 
1.8%
52 2
 
1.2%
0 2
 
1.2%
20 2
 
1.2%
81 2
 
1.2%
1 2
 
1.2%
Other values (68) 72
42.4%
(Missing) 69
40.6%
ValueCountFrequency (%)
0 2
 
1.2%
1 2
 
1.2%
2 4
2.4%
3 3
1.8%
4 6
3.5%
5 3
1.8%
6 1
 
0.6%
7 1
 
0.6%
8 2
 
1.2%
9 3
1.8%
ValueCountFrequency (%)
18405 1
0.6%
14918 1
0.6%
9052 1
0.6%
7444 1
0.6%
7442 1
0.6%
6779 1
0.6%
6057 1
0.6%
5270 1
0.6%
4817 1
0.6%
4396 1
0.6%

2020-02
Real number (ℝ)

MISSING 

Distinct71
Distinct (%)69.6%
Missing68
Missing (%)40.0%
Infinite0
Infinite (%)0.0%
Mean933.38235
Minimum0
Maximum15390
Zeros1
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:30.025216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q111.25
median42
Q3159.25
95-th percentile6142.6
Maximum15390
Range15390
Interquartile range (IQR)148

Descriptive statistics

Standard deviation2501.4027
Coefficient of variation (CV)2.6799335
Kurtosis14.691428
Mean933.38235
Median Absolute Deviation (MAD)38.5
Skewness3.620483
Sum95205
Variance6257015.2
MonotonicityNot monotonic
2023-12-12T12:21:30.187292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 7
 
4.1%
3 5
 
2.9%
1 4
 
2.4%
46 3
 
1.8%
2 3
 
1.8%
16 3
 
1.8%
22 3
 
1.8%
12 3
 
1.8%
11 2
 
1.2%
23 2
 
1.2%
Other values (61) 67
39.4%
(Missing) 68
40.0%
ValueCountFrequency (%)
0 1
 
0.6%
1 4
2.4%
2 3
1.8%
3 5
2.9%
4 7
4.1%
6 1
 
0.6%
8 2
 
1.2%
9 1
 
0.6%
11 2
 
1.2%
12 3
1.8%
ValueCountFrequency (%)
15390 1
0.6%
11876 1
0.6%
8688 1
0.6%
7505 1
0.6%
6495 1
0.6%
6200 1
0.6%
5052 1
0.6%
4989 1
0.6%
4580 1
0.6%
4087 1
0.6%

2020-03
Real number (ℝ)

MISSING  ZEROS 

Distinct72
Distinct (%)73.5%
Missing72
Missing (%)42.4%
Infinite0
Infinite (%)0.0%
Mean888.79592
Minimum0
Maximum16141
Zeros2
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:30.368041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q111
median39.5
Q3210.25
95-th percentile5069.55
Maximum16141
Range16141
Interquartile range (IQR)199.25

Descriptive statistics

Standard deviation2398.4561
Coefficient of variation (CV)2.6985453
Kurtosis18.664115
Mean888.79592
Median Absolute Deviation (MAD)35.5
Skewness3.9546646
Sum87102
Variance5752591.5
MonotonicityNot monotonic
2023-12-12T12:21:30.544218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 5
 
2.9%
1 5
 
2.9%
6 4
 
2.4%
4 3
 
1.8%
8 3
 
1.8%
26 3
 
1.8%
22 3
 
1.8%
16 2
 
1.2%
0 2
 
1.2%
37 2
 
1.2%
Other values (62) 66
38.8%
(Missing) 72
42.4%
ValueCountFrequency (%)
0 2
 
1.2%
1 5
2.9%
2 5
2.9%
4 3
1.8%
6 4
2.4%
8 3
1.8%
9 1
 
0.6%
10 1
 
0.6%
11 2
 
1.2%
13 1
 
0.6%
ValueCountFrequency (%)
16141 1
0.6%
8809 1
0.6%
8689 1
0.6%
7901 1
0.6%
5594 1
0.6%
4977 1
0.6%
4948 1
0.6%
4472 1
0.6%
3915 1
0.6%
3891 1
0.6%

2020-04
Real number (ℝ)

MISSING  ZEROS 

Distinct63
Distinct (%)66.3%
Missing75
Missing (%)44.1%
Infinite0
Infinite (%)0.0%
Mean952.67368
Minimum0
Maximum15687
Zeros3
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:30.693907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q110
median34
Q3151.5
95-th percentile6420.6
Maximum15687
Range15687
Interquartile range (IQR)141.5

Descriptive statistics

Standard deviation2488.2143
Coefficient of variation (CV)2.6118222
Kurtosis14.716453
Mean952.67368
Median Absolute Deviation (MAD)31
Skewness3.5644007
Sum90504
Variance6191210.3
MonotonicityNot monotonic
2023-12-12T12:21:30.844878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 4
 
2.4%
4 4
 
2.4%
7 4
 
2.4%
3 3
 
1.8%
15 3
 
1.8%
57 3
 
1.8%
77 3
 
1.8%
0 3
 
1.8%
23 3
 
1.8%
2 3
 
1.8%
Other values (53) 62
36.5%
(Missing) 75
44.1%
ValueCountFrequency (%)
0 3
1.8%
1 4
2.4%
2 3
1.8%
3 3
1.8%
4 4
2.4%
7 4
2.4%
8 2
1.2%
9 1
 
0.6%
11 1
 
0.6%
12 2
1.2%
ValueCountFrequency (%)
15687 1
0.6%
9231 1
0.6%
8437 1
0.6%
7707 1
0.6%
7164 1
0.6%
6102 1
0.6%
5557 1
0.6%
4721 1
0.6%
4221 1
0.6%
4147 1
0.6%

2020-05
Real number (ℝ)

MISSING 

Distinct70
Distinct (%)72.9%
Missing74
Missing (%)43.5%
Infinite0
Infinite (%)0.0%
Mean1101.875
Minimum0
Maximum18802
Zeros1
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:31.000262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q18
median37.5
Q3193.75
95-th percentile7035.25
Maximum18802
Range18802
Interquartile range (IQR)185.75

Descriptive statistics

Standard deviation3065.1001
Coefficient of variation (CV)2.7817131
Kurtosis16.091811
Mean1101.875
Median Absolute Deviation (MAD)33.5
Skewness3.8165077
Sum105780
Variance9394838.5
MonotonicityNot monotonic
2023-12-12T12:21:31.167789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 7
 
4.1%
2 5
 
2.9%
8 5
 
2.9%
26 4
 
2.4%
6 3
 
1.8%
16 2
 
1.2%
50 2
 
1.2%
10 2
 
1.2%
3 2
 
1.2%
71 2
 
1.2%
Other values (60) 62
36.5%
(Missing) 74
43.5%
ValueCountFrequency (%)
0 1
 
0.6%
1 2
 
1.2%
2 5
2.9%
3 2
 
1.2%
4 7
4.1%
5 1
 
0.6%
6 3
1.8%
7 1
 
0.6%
8 5
2.9%
9 1
 
0.6%
ValueCountFrequency (%)
18802 1
0.6%
14767 1
0.6%
11175 1
0.6%
9059 1
0.6%
7276 1
0.6%
6955 1
0.6%
5743 1
0.6%
4910 1
0.6%
4821 1
0.6%
3951 1
0.6%

2020-06
Real number (ℝ)

MISSING  ZEROS 

Distinct70
Distinct (%)71.4%
Missing72
Missing (%)42.4%
Infinite0
Infinite (%)0.0%
Mean970.15306
Minimum0
Maximum17097
Zeros2
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:31.360791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q110
median40
Q3138.75
95-th percentile4794.05
Maximum17097
Range17097
Interquartile range (IQR)128.75

Descriptive statistics

Standard deviation2861.9843
Coefficient of variation (CV)2.9500337
Kurtosis20.492706
Mean970.15306
Median Absolute Deviation (MAD)38
Skewness4.3422441
Sum95075
Variance8190953.9
MonotonicityNot monotonic
2023-12-12T12:21:31.535022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 6
 
3.5%
2 5
 
2.9%
11 3
 
1.8%
25 3
 
1.8%
15 3
 
1.8%
5 3
 
1.8%
10 2
 
1.2%
4 2
 
1.2%
45 2
 
1.2%
17 2
 
1.2%
Other values (60) 67
39.4%
(Missing) 72
42.4%
ValueCountFrequency (%)
0 2
 
1.2%
1 6
3.5%
2 5
2.9%
3 2
 
1.2%
4 2
 
1.2%
5 3
1.8%
6 1
 
0.6%
8 2
 
1.2%
9 1
 
0.6%
10 2
 
1.2%
ValueCountFrequency (%)
17097 1
0.6%
16915 1
0.6%
10627 1
0.6%
7722 1
0.6%
6279 1
0.6%
4532 1
0.6%
4476 1
0.6%
3342 1
0.6%
2984 1
0.6%
2947 1
0.6%

2020-07
Real number (ℝ)

MISSING  ZEROS 

Distinct66
Distinct (%)69.5%
Missing75
Missing (%)44.1%
Infinite0
Infinite (%)0.0%
Mean961.85263
Minimum0
Maximum18013
Zeros2
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:31.717332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17.5
median32
Q3143.5
95-th percentile5487.7
Maximum18013
Range18013
Interquartile range (IQR)136

Descriptive statistics

Standard deviation2864.2146
Coefficient of variation (CV)2.9778102
Kurtosis18.75813
Mean961.85263
Median Absolute Deviation (MAD)28
Skewness4.1556194
Sum91376
Variance8203725.4
MonotonicityNot monotonic
2023-12-12T12:21:31.890163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 9
 
5.3%
5 4
 
2.4%
8 3
 
1.8%
4 3
 
1.8%
2 3
 
1.8%
9 3
 
1.8%
27 3
 
1.8%
10 3
 
1.8%
45 2
 
1.2%
15 2
 
1.2%
Other values (56) 60
35.3%
(Missing) 75
44.1%
ValueCountFrequency (%)
0 2
 
1.2%
1 9
5.3%
2 3
 
1.8%
3 1
 
0.6%
4 3
 
1.8%
5 4
2.4%
6 1
 
0.6%
7 1
 
0.6%
8 3
 
1.8%
9 3
 
1.8%
ValueCountFrequency (%)
18013 1
0.6%
13954 1
0.6%
11482 1
0.6%
8137 1
0.6%
6817 1
0.6%
4918 1
0.6%
4823 1
0.6%
3745 1
0.6%
3123 1
0.6%
2821 1
0.6%

2020-08
Real number (ℝ)

MISSING  ZEROS 

Distinct66
Distinct (%)68.0%
Missing73
Missing (%)42.9%
Infinite0
Infinite (%)0.0%
Mean958.52577
Minimum0
Maximum19541
Zeros3
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:32.091576image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median34
Q3167
95-th percentile5962.2
Maximum19541
Range19541
Interquartile range (IQR)159

Descriptive statistics

Standard deviation2999.6243
Coefficient of variation (CV)3.1294144
Kurtosis20.478967
Mean958.52577
Median Absolute Deviation (MAD)32
Skewness4.3504773
Sum92977
Variance8997746.1
MonotonicityNot monotonic
2023-12-12T12:21:32.311212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 7
 
4.1%
1 5
 
2.9%
4 4
 
2.4%
9 4
 
2.4%
8 4
 
2.4%
10 3
 
1.8%
0 3
 
1.8%
12 2
 
1.2%
3 2
 
1.2%
41 2
 
1.2%
Other values (56) 61
35.9%
(Missing) 73
42.9%
ValueCountFrequency (%)
0 3
1.8%
1 5
2.9%
2 7
4.1%
3 2
 
1.2%
4 4
2.4%
5 1
 
0.6%
6 1
 
0.6%
7 1
 
0.6%
8 4
2.4%
9 4
2.4%
ValueCountFrequency (%)
19541 1
0.6%
13804 1
0.6%
12667 1
0.6%
9215 1
0.6%
7271 1
0.6%
5635 1
0.6%
3581 1
0.6%
3406 1
0.6%
2566 1
0.6%
2409 1
0.6%

2020-09
Real number (ℝ)

MISSING  ZEROS 

Distinct69
Distinct (%)72.6%
Missing75
Missing (%)44.1%
Infinite0
Infinite (%)0.0%
Mean884.63158
Minimum0
Maximum17298
Zeros4
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:32.481275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q19
median31
Q3140
95-th percentile5095.1
Maximum17298
Range17298
Interquartile range (IQR)131

Descriptive statistics

Standard deviation2549.655
Coefficient of variation (CV)2.882166
Kurtosis21.14951
Mean884.63158
Median Absolute Deviation (MAD)28
Skewness4.2765347
Sum84040
Variance6500740.9
MonotonicityNot monotonic
2023-12-12T12:21:32.706018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
2.4%
3 4
 
2.4%
2 4
 
2.4%
8 3
 
1.8%
12 3
 
1.8%
1 3
 
1.8%
16 3
 
1.8%
11 3
 
1.8%
70 2
 
1.2%
18 2
 
1.2%
Other values (59) 64
37.6%
(Missing) 75
44.1%
ValueCountFrequency (%)
0 4
2.4%
1 3
1.8%
2 4
2.4%
3 4
2.4%
4 1
 
0.6%
5 1
 
0.6%
6 1
 
0.6%
7 2
1.2%
8 3
1.8%
9 2
1.2%
ValueCountFrequency (%)
17298 1
0.6%
10734 1
0.6%
8898 1
0.6%
8383 1
0.6%
5982 1
0.6%
4715 1
0.6%
3614 1
0.6%
3567 1
0.6%
3113 1
0.6%
3104 1
0.6%

2020-10
Real number (ℝ)

MISSING  ZEROS 

Distinct70
Distinct (%)72.2%
Missing73
Missing (%)42.9%
Infinite0
Infinite (%)0.0%
Mean914.17526
Minimum0
Maximum16857
Zeros2
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:32.890988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q111
median29
Q3140
95-th percentile5106.2
Maximum16857
Range16857
Interquartile range (IQR)129

Descriptive statistics

Standard deviation2662.5568
Coefficient of variation (CV)2.9125233
Kurtosis18.565781
Mean914.17526
Median Absolute Deviation (MAD)26
Skewness4.108027
Sum88675
Variance7089208.6
MonotonicityNot monotonic
2023-12-12T12:21:33.056746image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 4
 
2.4%
3 3
 
1.8%
15 3
 
1.8%
27 3
 
1.8%
2 3
 
1.8%
10 3
 
1.8%
0 2
 
1.2%
6 2
 
1.2%
96 2
 
1.2%
45 2
 
1.2%
Other values (60) 70
41.2%
(Missing) 73
42.9%
ValueCountFrequency (%)
0 2
1.2%
1 2
1.2%
2 3
1.8%
3 3
1.8%
4 4
2.4%
5 2
1.2%
6 2
1.2%
7 1
 
0.6%
8 1
 
0.6%
9 1
 
0.6%
ValueCountFrequency (%)
16857 1
0.6%
13084 1
0.6%
10253 1
0.6%
8183 1
0.6%
6027 1
0.6%
4876 1
0.6%
4180 1
0.6%
3847 1
0.6%
3638 1
0.6%
2823 1
0.6%

2020-11
Real number (ℝ)

MISSING  ZEROS 

Distinct76
Distinct (%)77.6%
Missing72
Missing (%)42.4%
Infinite0
Infinite (%)0.0%
Mean1135.6633
Minimum0
Maximum19764
Zeros2
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:33.277423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q110.75
median48.5
Q3174.75
95-th percentile6385.25
Maximum19764
Range19764
Interquartile range (IQR)164

Descriptive statistics

Standard deviation3097.3523
Coefficient of variation (CV)2.7273509
Kurtosis16.650786
Mean1135.6633
Median Absolute Deviation (MAD)45.5
Skewness3.8220607
Sum111295
Variance9593591
MonotonicityNot monotonic
2023-12-12T12:21:33.510623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 5
 
2.9%
4 4
 
2.4%
1 4
 
2.4%
16 3
 
1.8%
32 3
 
1.8%
116 2
 
1.2%
52 2
 
1.2%
47 2
 
1.2%
41 2
 
1.2%
8 2
 
1.2%
Other values (66) 69
40.6%
(Missing) 72
42.4%
ValueCountFrequency (%)
0 2
 
1.2%
1 4
2.4%
2 5
2.9%
3 2
 
1.2%
4 4
2.4%
5 2
 
1.2%
6 1
 
0.6%
7 1
 
0.6%
8 2
 
1.2%
9 1
 
0.6%
ValueCountFrequency (%)
19764 1
0.6%
13413 1
0.6%
11946 1
0.6%
9754 1
0.6%
7248 1
0.6%
6233 1
0.6%
5707 1
0.6%
5263 1
0.6%
4898 1
0.6%
4580 1
0.6%

2020-12
Real number (ℝ)

MISSING 

Distinct76
Distinct (%)79.2%
Missing74
Missing (%)43.5%
Infinite0
Infinite (%)0.0%
Mean1220.8542
Minimum0
Maximum16952
Zeros1
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:33.728114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.75
Q115.75
median51
Q3283.5
95-th percentile8042.25
Maximum16952
Range16952
Interquartile range (IQR)267.75

Descriptive statistics

Standard deviation2907.6538
Coefficient of variation (CV)2.3816553
Kurtosis10.522332
Mean1220.8542
Median Absolute Deviation (MAD)49
Skewness3.0731356
Sum117202
Variance8454450.5
MonotonicityNot monotonic
2023-12-12T12:21:34.345967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
42 4
 
2.4%
1 4
 
2.4%
22 3
 
1.8%
17 3
 
1.8%
4 3
 
1.8%
2 3
 
1.8%
24 3
 
1.8%
6 2
 
1.2%
12 2
 
1.2%
47 2
 
1.2%
Other values (66) 67
39.4%
(Missing) 74
43.5%
ValueCountFrequency (%)
0 1
 
0.6%
1 4
2.4%
2 3
1.8%
3 1
 
0.6%
4 3
1.8%
5 1
 
0.6%
6 2
1.2%
7 1
 
0.6%
9 1
 
0.6%
10 1
 
0.6%
ValueCountFrequency (%)
16952 1
0.6%
11240 1
0.6%
9469 1
0.6%
8785 1
0.6%
8634 1
0.6%
7845 1
0.6%
6546 1
0.6%
6322 1
0.6%
5501 1
0.6%
5366 1
0.6%

2021-01
Real number (ℝ)

MISSING  ZEROS 

Distinct72
Distinct (%)75.8%
Missing75
Missing (%)44.1%
Infinite0
Infinite (%)0.0%
Mean1125.2842
Minimum0
Maximum14792
Zeros2
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:34.527659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q19.5
median63
Q3244
95-th percentile7582.8
Maximum14792
Range14792
Interquartile range (IQR)234.5

Descriptive statistics

Standard deviation2664.811
Coefficient of variation (CV)2.3681227
Kurtosis8.9864089
Mean1125.2842
Median Absolute Deviation (MAD)58
Skewness2.9230929
Sum106902
Variance7101217.9
MonotonicityNot monotonic
2023-12-12T12:21:34.721383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 4
 
2.4%
1 4
 
2.4%
63 3
 
1.8%
121 3
 
1.8%
3 3
 
1.8%
8 3
 
1.8%
5 2
 
1.2%
94 2
 
1.2%
0 2
 
1.2%
9 2
 
1.2%
Other values (62) 67
39.4%
(Missing) 75
44.1%
ValueCountFrequency (%)
0 2
1.2%
1 4
2.4%
2 4
2.4%
3 3
1.8%
4 2
1.2%
5 2
1.2%
6 1
 
0.6%
7 1
 
0.6%
8 3
1.8%
9 2
1.2%
ValueCountFrequency (%)
14792 1
0.6%
10347 1
0.6%
8375 1
0.6%
8197 1
0.6%
7888 1
0.6%
7452 1
0.6%
6717 1
0.6%
5845 1
0.6%
5574 1
0.6%
5366 1
0.6%

2021-02
Real number (ℝ)

MISSING  ZEROS 

Distinct73
Distinct (%)76.8%
Missing75
Missing (%)44.1%
Infinite0
Infinite (%)0.0%
Mean1066.6316
Minimum0
Maximum15753
Zeros2
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:34.961099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.7
Q19.5
median46
Q3244.5
95-th percentile6291.4
Maximum15753
Range15753
Interquartile range (IQR)235

Descriptive statistics

Standard deviation2729.2413
Coefficient of variation (CV)2.5587479
Kurtosis12.81634
Mean1066.6316
Median Absolute Deviation (MAD)44
Skewness3.4194173
Sum101330
Variance7448758
MonotonicityNot monotonic
2023-12-12T12:21:35.168444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 6
 
3.5%
3 3
 
1.8%
7 3
 
1.8%
1 3
 
1.8%
13 3
 
1.8%
8 3
 
1.8%
10 2
 
1.2%
54 2
 
1.2%
0 2
 
1.2%
38 2
 
1.2%
Other values (63) 66
38.8%
(Missing) 75
44.1%
ValueCountFrequency (%)
0 2
 
1.2%
1 3
1.8%
2 6
3.5%
3 3
1.8%
4 2
 
1.2%
6 1
 
0.6%
7 3
1.8%
8 3
1.8%
9 1
 
0.6%
10 2
 
1.2%
ValueCountFrequency (%)
15753 1
0.6%
13032 1
0.6%
9708 1
0.6%
8128 1
0.6%
6458 1
0.6%
6220 1
0.6%
5206 1
0.6%
5134 1
0.6%
5025 1
0.6%
4712 1
0.6%

2021-03
Real number (ℝ)

MISSING  ZEROS 

Distinct70
Distinct (%)72.9%
Missing74
Missing (%)43.5%
Infinite0
Infinite (%)0.0%
Mean1125.9271
Minimum0
Maximum16189
Zeros2
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:35.394202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q110
median51.5
Q3312.75
95-th percentile5502.25
Maximum16189
Range16189
Interquartile range (IQR)302.75

Descriptive statistics

Standard deviation2891.7795
Coefficient of variation (CV)2.5683542
Kurtosis15.199562
Mean1125.9271
Median Absolute Deviation (MAD)47.5
Skewness3.6912885
Sum108089
Variance8362388.8
MonotonicityNot monotonic
2023-12-12T12:21:35.620750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 6
 
3.5%
2 6
 
3.5%
4 4
 
2.4%
0 2
 
1.2%
70 2
 
1.2%
62 2
 
1.2%
20 2
 
1.2%
105 2
 
1.2%
1 2
 
1.2%
27 2
 
1.2%
Other values (60) 66
38.8%
(Missing) 74
43.5%
ValueCountFrequency (%)
0 2
 
1.2%
1 2
 
1.2%
2 6
3.5%
3 1
 
0.6%
4 4
2.4%
5 2
 
1.2%
6 2
 
1.2%
8 1
 
0.6%
10 6
3.5%
11 2
 
1.2%
ValueCountFrequency (%)
16189 1
0.6%
16139 1
0.6%
10474 1
0.6%
8141 1
0.6%
5587 1
0.6%
5474 1
0.6%
5094 1
0.6%
5005 1
0.6%
4832 1
0.6%
4355 1
0.6%

2021-04
Real number (ℝ)

MISSING  ZEROS 

Distinct69
Distinct (%)71.1%
Missing73
Missing (%)42.9%
Infinite0
Infinite (%)0.0%
Mean1096.567
Minimum0
Maximum18627
Zeros2
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:35.832357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q19
median36
Q3207
95-th percentile5565.2
Maximum18627
Range18627
Interquartile range (IQR)198

Descriptive statistics

Standard deviation3184.9196
Coefficient of variation (CV)2.9044459
Kurtosis18.812435
Mean1096.567
Median Absolute Deviation (MAD)33
Skewness4.1613283
Sum106367
Variance10143713
MonotonicityNot monotonic
2023-12-12T12:21:36.043490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 6
 
3.5%
9 4
 
2.4%
3 4
 
2.4%
11 3
 
1.8%
22 3
 
1.8%
27 3
 
1.8%
36 2
 
1.2%
8 2
 
1.2%
7 2
 
1.2%
31 2
 
1.2%
Other values (59) 66
38.8%
(Missing) 73
42.9%
ValueCountFrequency (%)
0 2
 
1.2%
1 2
 
1.2%
2 6
3.5%
3 4
2.4%
4 2
 
1.2%
5 1
 
0.6%
6 1
 
0.6%
7 2
 
1.2%
8 2
 
1.2%
9 4
2.4%
ValueCountFrequency (%)
18627 1
0.6%
18387 1
0.6%
11784 1
0.6%
9422 1
0.6%
5822 1
0.6%
5501 1
0.6%
5415 1
0.6%
4538 1
0.6%
4057 1
0.6%
3943 1
0.6%

2021-05
Real number (ℝ)

MISSING  ZEROS 

Distinct70
Distinct (%)76.1%
Missing78
Missing (%)45.9%
Infinite0
Infinite (%)0.0%
Mean1159.0109
Minimum0
Maximum18784
Zeros2
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:36.245426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.55
Q19
median44.5
Q3186
95-th percentile6817.05
Maximum18784
Range18784
Interquartile range (IQR)177

Descriptive statistics

Standard deviation3276.3564
Coefficient of variation (CV)2.8268556
Kurtosis17.3211
Mean1159.0109
Median Absolute Deviation (MAD)42.5
Skewness4.0020385
Sum106629
Variance10734511
MonotonicityNot monotonic
2023-12-12T12:21:36.419513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 7
 
4.1%
13 4
 
2.4%
8 3
 
1.8%
54 3
 
1.8%
1 3
 
1.8%
9 2
 
1.2%
12 2
 
1.2%
0 2
 
1.2%
95 2
 
1.2%
4 2
 
1.2%
Other values (60) 62
36.5%
(Missing) 78
45.9%
ValueCountFrequency (%)
0 2
 
1.2%
1 3
1.8%
2 7
4.1%
3 1
 
0.6%
4 2
 
1.2%
5 1
 
0.6%
6 2
 
1.2%
7 1
 
0.6%
8 3
1.8%
9 2
 
1.2%
ValueCountFrequency (%)
18784 1
0.6%
18235 1
0.6%
11765 1
0.6%
8513 1
0.6%
8043 1
0.6%
5814 1
0.6%
5458 1
0.6%
4328 1
0.6%
4001 1
0.6%
3400 1
0.6%

2021-06
Real number (ℝ)

MISSING  ZEROS 

Distinct66
Distinct (%)69.5%
Missing75
Missing (%)44.1%
Infinite0
Infinite (%)0.0%
Mean1091.6
Minimum0
Maximum19936
Zeros3
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:36.621569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18.5
median42
Q3155.5
95-th percentile6821.6
Maximum19936
Range19936
Interquartile range (IQR)147

Descriptive statistics

Standard deviation3325.4567
Coefficient of variation (CV)3.0464059
Kurtosis19.008985
Mean1091.6
Median Absolute Deviation (MAD)39
Skewness4.2107407
Sum103702
Variance11058662
MonotonicityNot monotonic
2023-12-12T12:21:36.807916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 5
 
2.9%
3 4
 
2.4%
4 4
 
2.4%
16 4
 
2.4%
1 4
 
2.4%
0 3
 
1.8%
45 3
 
1.8%
12 3
 
1.8%
21 3
 
1.8%
14 3
 
1.8%
Other values (56) 59
34.7%
(Missing) 75
44.1%
ValueCountFrequency (%)
0 3
1.8%
1 4
2.4%
2 5
2.9%
3 4
2.4%
4 4
2.4%
5 1
 
0.6%
6 1
 
0.6%
7 1
 
0.6%
8 1
 
0.6%
9 1
 
0.6%
ValueCountFrequency (%)
19936 1
0.6%
18308 1
0.6%
12730 1
0.6%
8653 1
0.6%
6900 1
0.6%
6788 1
0.6%
5404 1
0.6%
4227 1
0.6%
4060 1
0.6%
3584 1
0.6%

2021-07
Real number (ℝ)

MISSING  ZEROS 

Distinct60
Distinct (%)65.9%
Missing79
Missing (%)46.5%
Infinite0
Infinite (%)0.0%
Mean1074.6374
Minimum0
Maximum18995
Zeros5
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:36.963663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.5
Q15.5
median28
Q3142.5
95-th percentile6585
Maximum18995
Range18995
Interquartile range (IQR)137

Descriptive statistics

Standard deviation3288.8264
Coefficient of variation (CV)3.0604058
Kurtosis18.448409
Mean1074.6374
Median Absolute Deviation (MAD)27
Skewness4.1710544
Sum97792
Variance10816379
MonotonicityNot monotonic
2023-12-12T12:21:37.117852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 6
 
3.5%
4 6
 
3.5%
0 5
 
2.9%
9 4
 
2.4%
10 3
 
1.8%
3 3
 
1.8%
12 3
 
1.8%
6 2
 
1.2%
16 2
 
1.2%
56 2
 
1.2%
Other values (50) 55
32.4%
(Missing) 79
46.5%
ValueCountFrequency (%)
0 5
2.9%
1 6
3.5%
2 2
 
1.2%
3 3
1.8%
4 6
3.5%
5 1
 
0.6%
6 2
 
1.2%
7 1
 
0.6%
8 1
 
0.6%
9 4
2.4%
ValueCountFrequency (%)
18995 1
0.6%
18266 1
0.6%
12407 1
0.6%
8426 1
0.6%
6822 1
0.6%
6348 1
0.6%
5409 1
0.6%
4010 1
0.6%
3021 1
0.6%
2382 1
0.6%

2021-08
Real number (ℝ)

MISSING  ZEROS 

Distinct58
Distinct (%)64.4%
Missing80
Missing (%)47.1%
Infinite0
Infinite (%)0.0%
Mean965.72222
Minimum0
Maximum17712
Zeros6
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:37.260385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16.5
median28
Q3139
95-th percentile6196.7
Maximum17712
Range17712
Interquartile range (IQR)132.5

Descriptive statistics

Standard deviation2946.5944
Coefficient of variation (CV)3.0511822
Kurtosis17.681249
Mean965.72222
Median Absolute Deviation (MAD)27
Skewness4.1096074
Sum86915
Variance8682418.7
MonotonicityNot monotonic
2023-12-12T12:21:37.397625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 7
 
4.1%
10 6
 
3.5%
0 6
 
3.5%
8 5
 
2.9%
4 4
 
2.4%
2 2
 
1.2%
13 2
 
1.2%
3 2
 
1.2%
32 2
 
1.2%
43 2
 
1.2%
Other values (48) 52
30.6%
(Missing) 80
47.1%
ValueCountFrequency (%)
0 6
3.5%
1 7
4.1%
2 2
 
1.2%
3 2
 
1.2%
4 4
2.4%
5 1
 
0.6%
6 1
 
0.6%
8 5
2.9%
9 2
 
1.2%
10 6
3.5%
ValueCountFrequency (%)
17712 1
0.6%
14052 1
0.6%
12447 1
0.6%
8591 1
0.6%
6626 1
0.6%
5672 1
0.6%
3533 1
0.6%
2531 1
0.6%
2376 1
0.6%
2313 1
0.6%

2021-09
Real number (ℝ)

MISSING  ZEROS 

Distinct64
Distinct (%)69.6%
Missing78
Missing (%)45.9%
Infinite0
Infinite (%)0.0%
Mean1030.6522
Minimum0
Maximum17115
Zeros4
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:37.526825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median30.5
Q3145.25
95-th percentile6322.5
Maximum17115
Range17115
Interquartile range (IQR)137.25

Descriptive statistics

Standard deviation2995.3789
Coefficient of variation (CV)2.9062946
Kurtosis16.239887
Mean1030.6522
Median Absolute Deviation (MAD)28.5
Skewness3.9249957
Sum94820
Variance8972294.7
MonotonicityNot monotonic
2023-12-12T12:21:37.651726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 5
 
2.9%
2 5
 
2.9%
4 4
 
2.4%
0 4
 
2.4%
42 3
 
1.8%
15 3
 
1.8%
8 3
 
1.8%
3 2
 
1.2%
13 2
 
1.2%
39 2
 
1.2%
Other values (54) 59
34.7%
(Missing) 78
45.9%
ValueCountFrequency (%)
0 4
2.4%
1 5
2.9%
2 5
2.9%
3 2
 
1.2%
4 4
2.4%
7 1
 
0.6%
8 3
1.8%
9 1
 
0.6%
10 2
 
1.2%
11 1
 
0.6%
ValueCountFrequency (%)
17115 1
0.6%
15673 1
0.6%
12018 1
0.6%
8375 1
0.6%
6922 1
0.6%
5832 1
0.6%
5381 1
0.6%
3775 1
0.6%
3355 1
0.6%
2919 1
0.6%

2021-10
Real number (ℝ)

MISSING 

Distinct69
Distinct (%)71.1%
Missing73
Missing (%)42.9%
Infinite0
Infinite (%)0.0%
Mean1096.4536
Minimum0
Maximum18919
Zeros1
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:37.773971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q112
median41
Q3182
95-th percentile6320.6
Maximum18919
Range18919
Interquartile range (IQR)170

Descriptive statistics

Standard deviation3057.0906
Coefficient of variation (CV)2.7881623
Kurtosis18.26226
Mean1096.4536
Median Absolute Deviation (MAD)38
Skewness4.0494863
Sum106356
Variance9345803.1
MonotonicityNot monotonic
2023-12-12T12:21:37.896968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 6
 
3.5%
2 5
 
2.9%
3 4
 
2.4%
6 3
 
1.8%
9 3
 
1.8%
135 3
 
1.8%
1 3
 
1.8%
32 2
 
1.2%
67 2
 
1.2%
20 2
 
1.2%
Other values (59) 64
37.6%
(Missing) 73
42.9%
ValueCountFrequency (%)
0 1
 
0.6%
1 3
1.8%
2 5
2.9%
3 4
2.4%
4 2
 
1.2%
6 3
1.8%
7 1
 
0.6%
9 3
1.8%
10 2
 
1.2%
12 1
 
0.6%
ValueCountFrequency (%)
18919 1
0.6%
16224 1
0.6%
11174 1
0.6%
8023 1
0.6%
6623 1
0.6%
6245 1
0.6%
5359 1
0.6%
4473 1
0.6%
3892 1
0.6%
3786 1
0.6%

2021-11
Real number (ℝ)

MISSING 

Distinct67
Distinct (%)69.8%
Missing74
Missing (%)43.5%
Infinite0
Infinite (%)0.0%
Mean1050.6042
Minimum0
Maximum17199
Zeros1
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:38.030015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q113
median46
Q3217.25
95-th percentile5228.75
Maximum17199
Range17199
Interquartile range (IQR)204.25

Descriptive statistics

Standard deviation2848.702
Coefficient of variation (CV)2.7114893
Kurtosis16.761316
Mean1050.6042
Median Absolute Deviation (MAD)43
Skewness3.8998657
Sum100858
Variance8115102.9
MonotonicityNot monotonic
2023-12-12T12:21:38.158884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 9
 
5.3%
17 5
 
2.9%
3 3
 
1.8%
60 3
 
1.8%
23 2
 
1.2%
4 2
 
1.2%
8 2
 
1.2%
47 2
 
1.2%
38 2
 
1.2%
19 2
 
1.2%
Other values (57) 64
37.6%
(Missing) 74
43.5%
ValueCountFrequency (%)
0 1
 
0.6%
1 2
 
1.2%
2 9
5.3%
3 3
 
1.8%
4 2
 
1.2%
5 2
 
1.2%
7 2
 
1.2%
8 2
 
1.2%
10 1
 
0.6%
14 1
 
0.6%
ValueCountFrequency (%)
17199 1
0.6%
14753 1
0.6%
10809 1
0.6%
8333 1
0.6%
5735 1
0.6%
5060 1
0.6%
5042 1
0.6%
4822 1
0.6%
4403 1
0.6%
3955 1
0.6%

2021-12
Real number (ℝ)

MISSING 

Distinct80
Distinct (%)80.8%
Missing71
Missing (%)41.8%
Infinite0
Infinite (%)0.0%
Mean1234.7374
Minimum0
Maximum20845
Zeros1
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:38.303804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q112.5
median68
Q3294
95-th percentile6414.8
Maximum20845
Range20845
Interquartile range (IQR)281.5

Descriptive statistics

Standard deviation3378.4137
Coefficient of variation (CV)2.7361395
Kurtosis16.687872
Mean1234.7374
Median Absolute Deviation (MAD)65
Skewness3.8852261
Sum122239
Variance11413679
MonotonicityNot monotonic
2023-12-12T12:21:38.443332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 5
 
2.9%
2 5
 
2.9%
4 2
 
1.2%
10 2
 
1.2%
195 2
 
1.2%
1 2
 
1.2%
53 2
 
1.2%
12 2
 
1.2%
6 2
 
1.2%
139 2
 
1.2%
Other values (70) 73
42.9%
(Missing) 71
41.8%
ValueCountFrequency (%)
0 1
 
0.6%
1 2
 
1.2%
2 5
2.9%
3 5
2.9%
4 2
 
1.2%
5 1
 
0.6%
6 2
 
1.2%
8 2
 
1.2%
10 2
 
1.2%
11 1
 
0.6%
ValueCountFrequency (%)
20845 1
0.6%
16877 1
0.6%
12965 1
0.6%
9997 1
0.6%
8465 1
0.6%
6187 1
0.6%
5872 1
0.6%
5867 1
0.6%
5236 1
0.6%
5105 1
0.6%

2022-01
Real number (ℝ)

MISSING  ZEROS 

Distinct73
Distinct (%)77.7%
Missing76
Missing (%)44.7%
Infinite0
Infinite (%)0.0%
Mean1417.766
Minimum0
Maximum18470
Zeros2
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:38.577865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.65
Q118
median65
Q3372.5
95-th percentile8241.3
Maximum18470
Range18470
Interquartile range (IQR)354.5

Descriptive statistics

Standard deviation3507.5407
Coefficient of variation (CV)2.4739914
Kurtosis11.702976
Mean1417.766
Median Absolute Deviation (MAD)61
Skewness3.2898361
Sum133270
Variance12302842
MonotonicityNot monotonic
2023-12-12T12:21:39.075053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 4
 
2.4%
3 4
 
2.4%
46 3
 
1.8%
1 3
 
1.8%
17 2
 
1.2%
6 2
 
1.2%
22 2
 
1.2%
21 2
 
1.2%
57 2
 
1.2%
124 2
 
1.2%
Other values (63) 68
40.0%
(Missing) 76
44.7%
ValueCountFrequency (%)
0 2
1.2%
1 3
1.8%
2 1
 
0.6%
3 4
2.4%
4 4
2.4%
6 2
1.2%
10 1
 
0.6%
11 2
1.2%
12 1
 
0.6%
13 1
 
0.6%
ValueCountFrequency (%)
18470 1
0.6%
18452 1
0.6%
12009 1
0.6%
9897 1
0.6%
9098 1
0.6%
7780 1
0.6%
7571 1
0.6%
6689 1
0.6%
5820 1
0.6%
5716 1
0.6%

2022-02
Real number (ℝ)

MISSING  ZEROS 

Distinct70
Distinct (%)76.1%
Missing78
Missing (%)45.9%
Infinite0
Infinite (%)0.0%
Mean1333.1413
Minimum0
Maximum16040
Zeros3
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:39.217831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q111.5
median50.5
Q3297.75
95-th percentile8060.65
Maximum16040
Range16040
Interquartile range (IQR)286.25

Descriptive statistics

Standard deviation3165.8026
Coefficient of variation (CV)2.374694
Kurtosis9.0732621
Mean1333.1413
Median Absolute Deviation (MAD)48
Skewness2.9475733
Sum122649
Variance10022306
MonotonicityNot monotonic
2023-12-12T12:21:39.378493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 5
 
2.9%
2 5
 
2.9%
22 3
 
1.8%
13 3
 
1.8%
0 3
 
1.8%
1 3
 
1.8%
4 2
 
1.2%
8 2
 
1.2%
34 2
 
1.2%
18 2
 
1.2%
Other values (60) 62
36.5%
(Missing) 78
45.9%
ValueCountFrequency (%)
0 3
1.8%
1 3
1.8%
2 5
2.9%
3 5
2.9%
4 2
 
1.2%
5 1
 
0.6%
7 1
 
0.6%
8 2
 
1.2%
10 1
 
0.6%
12 1
 
0.6%
ValueCountFrequency (%)
16040 1
0.6%
15467 1
0.6%
10345 1
0.6%
8412 1
0.6%
8389 1
0.6%
7792 1
0.6%
7625 1
0.6%
6689 1
0.6%
6516 1
0.6%
5670 1
0.6%

2022-03
Real number (ℝ)

MISSING  ZEROS 

Distinct70
Distinct (%)74.5%
Missing76
Missing (%)44.7%
Infinite0
Infinite (%)0.0%
Mean1156.6277
Minimum0
Maximum15851
Zeros2
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:39.548727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q110.25
median49.5
Q3245.75
95-th percentile6855.65
Maximum15851
Range15851
Interquartile range (IQR)235.5

Descriptive statistics

Standard deviation2897.655
Coefficient of variation (CV)2.5052617
Kurtosis12.66297
Mean1156.6277
Median Absolute Deviation (MAD)45
Skewness3.3830644
Sum108723
Variance8396404.4
MonotonicityNot monotonic
2023-12-12T12:21:39.725333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 6
 
3.5%
5 4
 
2.4%
3 4
 
2.4%
17 3
 
1.8%
69 2
 
1.2%
8 2
 
1.2%
0 2
 
1.2%
37 2
 
1.2%
4 2
 
1.2%
11 2
 
1.2%
Other values (60) 65
38.2%
(Missing) 76
44.7%
ValueCountFrequency (%)
0 2
 
1.2%
1 2
 
1.2%
2 6
3.5%
3 4
2.4%
4 2
 
1.2%
5 4
2.4%
6 1
 
0.6%
8 2
 
1.2%
10 1
 
0.6%
11 2
 
1.2%
ValueCountFrequency (%)
15851 1
0.6%
15281 1
0.6%
9667 1
0.6%
7405 1
0.6%
6894 1
0.6%
6835 1
0.6%
5686 1
0.6%
5323 1
0.6%
5309 1
0.6%
4948 1
0.6%

2022-04
Real number (ℝ)

MISSING  ZEROS 

Distinct68
Distinct (%)74.7%
Missing79
Missing (%)46.5%
Infinite0
Infinite (%)0.0%
Mean966.58242
Minimum0
Maximum14833
Zeros2
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:39.923918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q110
median35
Q3189.5
95-th percentile5526
Maximum14833
Range14833
Interquartile range (IQR)179.5

Descriptive statistics

Standard deviation2649.4958
Coefficient of variation (CV)2.7410966
Kurtosis15.918565
Mean966.58242
Median Absolute Deviation (MAD)32
Skewness3.8308784
Sum87959
Variance7019828
MonotonicityNot monotonic
2023-12-12T12:21:40.089078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 5
 
2.9%
13 4
 
2.4%
1 4
 
2.4%
3 3
 
1.8%
4 3
 
1.8%
0 2
 
1.2%
35 2
 
1.2%
25 2
 
1.2%
7 2
 
1.2%
45 2
 
1.2%
Other values (58) 62
36.5%
(Missing) 79
46.5%
ValueCountFrequency (%)
0 2
 
1.2%
1 4
2.4%
2 5
2.9%
3 3
1.8%
4 3
1.8%
7 2
 
1.2%
8 2
 
1.2%
9 1
 
0.6%
10 2
 
1.2%
11 1
 
0.6%
ValueCountFrequency (%)
14833 1
0.6%
14542 1
0.6%
9519 1
0.6%
6944 1
0.6%
5858 1
0.6%
5194 1
0.6%
4566 1
0.6%
4260 1
0.6%
4082 1
0.6%
3238 1
0.6%

2022-05
Real number (ℝ)

MISSING 

Distinct66
Distinct (%)72.5%
Missing79
Missing (%)46.5%
Infinite0
Infinite (%)0.0%
Mean1146.3736
Minimum0
Maximum20197
Zeros1
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:40.251708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17.5
median39
Q3173
95-th percentile6396
Maximum20197
Range20197
Interquartile range (IQR)165.5

Descriptive statistics

Standard deviation3392.0422
Coefficient of variation (CV)2.9589325
Kurtosis17.61772
Mean1146.3736
Median Absolute Deviation (MAD)35
Skewness4.0842345
Sum104320
Variance11505950
MonotonicityNot monotonic
2023-12-12T12:21:40.476207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 8
 
4.7%
2 5
 
2.9%
1 5
 
2.9%
19 3
 
1.8%
16 3
 
1.8%
26 2
 
1.2%
40 2
 
1.2%
5 2
 
1.2%
13 2
 
1.2%
14 2
 
1.2%
Other values (56) 57
33.5%
(Missing) 79
46.5%
ValueCountFrequency (%)
0 1
 
0.6%
1 5
2.9%
2 5
2.9%
4 8
4.7%
5 2
 
1.2%
6 1
 
0.6%
7 1
 
0.6%
8 1
 
0.6%
11 1
 
0.6%
12 1
 
0.6%
ValueCountFrequency (%)
20197 1
0.6%
16839 1
0.6%
14514 1
0.6%
9438 1
0.6%
6574 1
0.6%
6218 1
0.6%
4788 1
0.6%
3977 1
0.6%
3400 1
0.6%
3244 1
0.6%

2022-06
Real number (ℝ)

MISSING  ZEROS 

Distinct66
Distinct (%)71.0%
Missing77
Missing (%)45.3%
Infinite0
Infinite (%)0.0%
Mean985.1828
Minimum0
Maximum18553
Zeros5
Zeros (%)2.9%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:40.675646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.6
Q16
median34
Q3141
95-th percentile5928.2
Maximum18553
Range18553
Interquartile range (IQR)135

Descriptive statistics

Standard deviation2958.5321
Coefficient of variation (CV)3.0030286
Kurtosis20.277065
Mean985.1828
Median Absolute Deviation (MAD)33
Skewness4.2972515
Sum91622
Variance8752912.2
MonotonicityNot monotonic
2023-12-12T12:21:40.892681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 6
 
3.5%
0 5
 
2.9%
6 5
 
2.9%
3 4
 
2.4%
16 4
 
2.4%
2 3
 
1.8%
15 3
 
1.8%
8 2
 
1.2%
34 2
 
1.2%
35 2
 
1.2%
Other values (56) 57
33.5%
(Missing) 77
45.3%
ValueCountFrequency (%)
0 5
2.9%
1 6
3.5%
2 3
1.8%
3 4
2.4%
4 2
 
1.2%
5 1
 
0.6%
6 5
2.9%
7 1
 
0.6%
8 2
 
1.2%
9 1
 
0.6%
ValueCountFrequency (%)
18553 1
0.6%
15851 1
0.6%
10138 1
0.6%
7323 1
0.6%
6314 1
0.6%
5671 1
0.6%
4567 1
0.6%
4048 1
0.6%
3228 1
0.6%
2965 1
0.6%

2022-07
Real number (ℝ)

MISSING  ZEROS 

Distinct65
Distinct (%)69.1%
Missing76
Missing (%)44.7%
Infinite0
Infinite (%)0.0%
Mean971.71277
Minimum0
Maximum18375
Zeros4
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:41.086554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17
median39.5
Q3164.5
95-th percentile6407.15
Maximum18375
Range18375
Interquartile range (IQR)157.5

Descriptive statistics

Standard deviation2943.5385
Coefficient of variation (CV)3.029227
Kurtosis18.552404
Mean971.71277
Median Absolute Deviation (MAD)35.5
Skewness4.1509971
Sum91341
Variance8664418.9
MonotonicityNot monotonic
2023-12-12T12:21:41.290268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 7
 
4.1%
9 4
 
2.4%
4 4
 
2.4%
0 4
 
2.4%
8 4
 
2.4%
2 3
 
1.8%
5 2
 
1.2%
66 2
 
1.2%
38 2
 
1.2%
10 2
 
1.2%
Other values (55) 60
35.3%
(Missing) 76
44.7%
ValueCountFrequency (%)
0 4
2.4%
1 7
4.1%
2 3
1.8%
3 2
 
1.2%
4 4
2.4%
5 2
 
1.2%
6 1
 
0.6%
7 2
 
1.2%
8 4
2.4%
9 4
2.4%
ValueCountFrequency (%)
18375 1
0.6%
14299 1
0.6%
11660 1
0.6%
8535 1
0.6%
6777 1
0.6%
6208 1
0.6%
3746 1
0.6%
3701 1
0.6%
3551 1
0.6%
2788 1
0.6%

2022-08
Real number (ℝ)

MISSING  ZEROS 

Distinct60
Distinct (%)67.4%
Missing81
Missing (%)47.6%
Infinite0
Infinite (%)0.0%
Mean1273.7978
Minimum0
Maximum22797
Zeros4
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:41.490936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median44
Q3205
95-th percentile6685
Maximum22797
Range22797
Interquartile range (IQR)201

Descriptive statistics

Standard deviation3736.2811
Coefficient of variation (CV)2.9331824
Kurtosis18.450613
Mean1273.7978
Median Absolute Deviation (MAD)42
Skewness4.1576434
Sum113368
Variance13959796
MonotonicityNot monotonic
2023-12-12T12:21:41.704214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 6
 
3.5%
1 6
 
3.5%
4 5
 
2.9%
0 4
 
2.4%
13 3
 
1.8%
3 3
 
1.8%
44 3
 
1.8%
24 3
 
1.8%
51 2
 
1.2%
8 2
 
1.2%
Other values (50) 52
30.6%
(Missing) 81
47.6%
ValueCountFrequency (%)
0 4
2.4%
1 6
3.5%
2 6
3.5%
3 3
1.8%
4 5
2.9%
6 1
 
0.6%
7 1
 
0.6%
8 2
 
1.2%
10 1
 
0.6%
11 1
 
0.6%
ValueCountFrequency (%)
22797 1
0.6%
18295 1
0.6%
15130 1
0.6%
10686 1
0.6%
6691 1
0.6%
6676 1
0.6%
4017 1
0.6%
3790 1
0.6%
3716 1
0.6%
3578 1
0.6%

2022-09
Real number (ℝ)

MISSING  ZEROS 

Distinct63
Distinct (%)66.3%
Missing75
Missing (%)44.1%
Infinite0
Infinite (%)0.0%
Mean934.82105
Minimum0
Maximum15174
Zeros4
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:41.910801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q17
median25
Q3151
95-th percentile6291.9
Maximum15174
Range15174
Interquartile range (IQR)144

Descriptive statistics

Standard deviation2684.8434
Coefficient of variation (CV)2.8720399
Kurtosis15.717577
Mean934.82105
Median Absolute Deviation (MAD)24
Skewness3.8725858
Sum88808
Variance7208383.9
MonotonicityNot monotonic
2023-12-12T12:21:42.109349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 7
 
4.1%
3 5
 
2.9%
8 5
 
2.9%
2 4
 
2.4%
0 4
 
2.4%
7 3
 
1.8%
16 3
 
1.8%
5 2
 
1.2%
13 2
 
1.2%
23 2
 
1.2%
Other values (53) 58
34.1%
(Missing) 75
44.1%
ValueCountFrequency (%)
0 4
2.4%
1 7
4.1%
2 4
2.4%
3 5
2.9%
4 1
 
0.6%
5 2
 
1.2%
7 3
1.8%
8 5
2.9%
9 2
 
1.2%
10 1
 
0.6%
ValueCountFrequency (%)
15174 1
0.6%
14061 1
0.6%
11326 1
0.6%
7239 1
0.6%
6651 1
0.6%
6138 1
0.6%
4766 1
0.6%
3866 1
0.6%
3364 1
0.6%
2699 1
0.6%

2022-10
Real number (ℝ)

MISSING 

Distinct69
Distinct (%)74.2%
Missing77
Missing (%)45.3%
Infinite0
Infinite (%)0.0%
Mean1108.6344
Minimum0
Maximum18785
Zeros1
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:42.365346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q110
median35
Q3177
95-th percentile5435.6
Maximum18785
Range18785
Interquartile range (IQR)167

Descriptive statistics

Standard deviation3168.2234
Coefficient of variation (CV)2.8577712
Kurtosis18.646154
Mean1108.6344
Median Absolute Deviation (MAD)32
Skewness4.14843
Sum103103
Variance10037640
MonotonicityNot monotonic
2023-12-12T12:21:42.584573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 6
 
3.5%
2 5
 
2.9%
13 4
 
2.4%
8 3
 
1.8%
1 3
 
1.8%
50 2
 
1.2%
6 2
 
1.2%
16 2
 
1.2%
14 2
 
1.2%
33 2
 
1.2%
Other values (59) 62
36.5%
(Missing) 77
45.3%
ValueCountFrequency (%)
0 1
 
0.6%
1 3
1.8%
2 5
2.9%
3 6
3.5%
4 2
 
1.2%
6 2
 
1.2%
8 3
1.8%
9 1
 
0.6%
10 1
 
0.6%
12 1
 
0.6%
ValueCountFrequency (%)
18785 1
0.6%
17453 1
0.6%
12426 1
0.6%
7964 1
0.6%
5624 1
0.6%
5310 1
0.6%
4723 1
0.6%
4410 1
0.6%
3896 1
0.6%
3532 1
0.6%

2022-11
Real number (ℝ)

MISSING  ZEROS 

Distinct71
Distinct (%)75.5%
Missing76
Missing (%)44.7%
Infinite0
Infinite (%)0.0%
Mean1089.2128
Minimum0
Maximum16025
Zeros2
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:42.826503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q110.25
median44
Q3317.25
95-th percentile5563.4
Maximum16025
Range16025
Interquartile range (IQR)307

Descriptive statistics

Standard deviation2755.2364
Coefficient of variation (CV)2.5295668
Kurtosis14.424899
Mean1089.2128
Median Absolute Deviation (MAD)40.5
Skewness3.6008061
Sum102386
Variance7591327.7
MonotonicityNot monotonic
2023-12-12T12:21:43.021863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 5
 
2.9%
1 4
 
2.4%
10 3
 
1.8%
18 3
 
1.8%
4 3
 
1.8%
70 2
 
1.2%
3 2
 
1.2%
7 2
 
1.2%
16 2
 
1.2%
50 2
 
1.2%
Other values (61) 66
38.8%
(Missing) 76
44.7%
ValueCountFrequency (%)
0 2
 
1.2%
1 4
2.4%
2 5
2.9%
3 2
 
1.2%
4 3
1.8%
5 1
 
0.6%
7 2
 
1.2%
8 1
 
0.6%
9 1
 
0.6%
10 3
1.8%
ValueCountFrequency (%)
16025 1
0.6%
13875 1
0.6%
10772 1
0.6%
6652 1
0.6%
5735 1
0.6%
5471 1
0.6%
5238 1
0.6%
4760 1
0.6%
4699 1
0.6%
4461 1
0.6%

2022-12
Real number (ℝ)

MISSING  ZEROS 

Distinct77
Distinct (%)81.1%
Missing75
Missing (%)44.1%
Infinite0
Infinite (%)0.0%
Mean1366.8316
Minimum0
Maximum19829
Zeros2
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:43.241630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q115
median72
Q3393.5
95-th percentile8449.2
Maximum19829
Range19829
Interquartile range (IQR)378.5

Descriptive statistics

Standard deviation3299.1058
Coefficient of variation (CV)2.4136886
Kurtosis12.747196
Mean1366.8316
Median Absolute Deviation (MAD)69
Skewness3.346792
Sum129849
Variance10884099
MonotonicityNot monotonic
2023-12-12T12:21:43.477412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 5
 
2.9%
2 4
 
2.4%
4 4
 
2.4%
6 4
 
2.4%
16 3
 
1.8%
91 2
 
1.2%
0 2
 
1.2%
32 2
 
1.2%
144 1
 
0.6%
190 1
 
0.6%
Other values (67) 67
39.4%
(Missing) 75
44.1%
ValueCountFrequency (%)
0 2
 
1.2%
1 1
 
0.6%
2 4
2.4%
3 5
2.9%
4 4
2.4%
5 1
 
0.6%
6 4
2.4%
7 1
 
0.6%
8 1
 
0.6%
14 1
 
0.6%
ValueCountFrequency (%)
19829 1
0.6%
14330 1
0.6%
11142 1
0.6%
9033 1
0.6%
8599 1
0.6%
8385 1
0.6%
7038 1
0.6%
6755 1
0.6%
6124 1
0.6%
5781 1
0.6%

2023-01
Real number (ℝ)

MISSING  ZEROS 

Distinct70
Distinct (%)74.5%
Missing76
Missing (%)44.7%
Infinite0
Infinite (%)0.0%
Mean1258.6383
Minimum0
Maximum16135
Zeros2
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:43.740371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q115.25
median70
Q3357.5
95-th percentile6874.4
Maximum16135
Range16135
Interquartile range (IQR)342.25

Descriptive statistics

Standard deviation2874.8895
Coefficient of variation (CV)2.2841269
Kurtosis9.9134396
Mean1258.6383
Median Absolute Deviation (MAD)66
Skewness3.0093654
Sum118312
Variance8264989.8
MonotonicityNot monotonic
2023-12-12T12:21:44.320354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 5
 
2.9%
1 4
 
2.4%
46 3
 
1.8%
20 3
 
1.8%
3 3
 
1.8%
33 3
 
1.8%
65 2
 
1.2%
127 2
 
1.2%
2 2
 
1.2%
8 2
 
1.2%
Other values (60) 65
38.2%
(Missing) 76
44.7%
ValueCountFrequency (%)
0 2
 
1.2%
1 4
2.4%
2 2
 
1.2%
3 3
1.8%
4 5
2.9%
7 1
 
0.6%
8 2
 
1.2%
11 1
 
0.6%
12 2
 
1.2%
13 1
 
0.6%
ValueCountFrequency (%)
16135 1
0.6%
11950 1
0.6%
10833 1
0.6%
8003 1
0.6%
7956 1
0.6%
6292 1
0.6%
6268 1
0.6%
6186 1
0.6%
5383 1
0.6%
5230 1
0.6%

2023-02
Real number (ℝ)

MISSING  ZEROS 

Distinct71
Distinct (%)77.2%
Missing78
Missing (%)45.9%
Infinite0
Infinite (%)0.0%
Mean1142.1848
Minimum0
Maximum14527
Zeros3
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:44.479004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q110.75
median54
Q3333.75
95-th percentile6136.1
Maximum14527
Range14527
Interquartile range (IQR)323

Descriptive statistics

Standard deviation2544.3
Coefficient of variation (CV)2.227573
Kurtosis9.5983838
Mean1142.1848
Median Absolute Deviation (MAD)52
Skewness2.9073397
Sum105081
Variance6473462.3
MonotonicityNot monotonic
2023-12-12T12:21:44.649259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 6
 
3.5%
1 5
 
2.9%
3 3
 
1.8%
0 3
 
1.8%
15 3
 
1.8%
8 2
 
1.2%
4 2
 
1.2%
55 2
 
1.2%
19 2
 
1.2%
13 2
 
1.2%
Other values (61) 62
36.5%
(Missing) 78
45.9%
ValueCountFrequency (%)
0 3
1.8%
1 5
2.9%
2 6
3.5%
3 3
1.8%
4 2
 
1.2%
5 1
 
0.6%
8 2
 
1.2%
10 1
 
0.6%
11 1
 
0.6%
12 1
 
0.6%
ValueCountFrequency (%)
14527 1
0.6%
10201 1
0.6%
7672 1
0.6%
7318 1
0.6%
6608 1
0.6%
5750 1
0.6%
5653 1
0.6%
5510 1
0.6%
5494 1
0.6%
5472 1
0.6%

2023-03
Real number (ℝ)

MISSING  ZEROS 

Distinct73
Distinct (%)76.0%
Missing74
Missing (%)43.5%
Infinite0
Infinite (%)0.0%
Mean1111.4688
Minimum0
Maximum19115
Zeros3
Zeros (%)1.8%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:44.819884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.75
Q110
median55
Q3261.25
95-th percentile6269.75
Maximum19115
Range19115
Interquartile range (IQR)251.25

Descriptive statistics

Standard deviation2909.4167
Coefficient of variation (CV)2.6176325
Kurtosis17.987816
Mean1111.4688
Median Absolute Deviation (MAD)51.5
Skewness3.9064888
Sum106701
Variance8464705.5
MonotonicityNot monotonic
2023-12-12T12:21:45.016598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 6
 
3.5%
3 4
 
2.4%
4 4
 
2.4%
16 4
 
2.4%
0 3
 
1.8%
10 3
 
1.8%
17 2
 
1.2%
1 2
 
1.2%
7 2
 
1.2%
57 2
 
1.2%
Other values (63) 64
37.6%
(Missing) 74
43.5%
ValueCountFrequency (%)
0 3
1.8%
1 2
 
1.2%
2 6
3.5%
3 4
2.4%
4 4
2.4%
5 1
 
0.6%
6 1
 
0.6%
7 2
 
1.2%
10 3
1.8%
11 1
 
0.6%
ValueCountFrequency (%)
19115 1
0.6%
12802 1
0.6%
9263 1
0.6%
8785 1
0.6%
7409 1
0.6%
5890 1
0.6%
5212 1
0.6%
5180 1
0.6%
4862 1
0.6%
4231 1
0.6%

2023-04
Real number (ℝ)

MISSING  ZEROS 

Distinct67
Distinct (%)73.6%
Missing79
Missing (%)46.5%
Infinite0
Infinite (%)0.0%
Mean987.47253
Minimum0
Maximum14899
Zeros2
Zeros (%)1.2%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:45.200187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q19.5
median35
Q3245.5
95-th percentile6092.5
Maximum14899
Range14899
Interquartile range (IQR)236

Descriptive statistics

Standard deviation2468.2256
Coefficient of variation (CV)2.4995385
Kurtosis13.754263
Mean987.47253
Median Absolute Deviation (MAD)32
Skewness3.4772483
Sum89860
Variance6092137.8
MonotonicityNot monotonic
2023-12-12T12:21:45.371176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 5
 
2.9%
12 4
 
2.4%
1 4
 
2.4%
8 3
 
1.8%
2 3
 
1.8%
13 3
 
1.8%
0 2
 
1.2%
31 2
 
1.2%
7 2
 
1.2%
35 2
 
1.2%
Other values (57) 61
35.9%
(Missing) 79
46.5%
ValueCountFrequency (%)
0 2
 
1.2%
1 4
2.4%
2 3
1.8%
3 5
2.9%
4 2
 
1.2%
6 2
 
1.2%
7 2
 
1.2%
8 3
1.8%
11 1
 
0.6%
12 4
2.4%
ValueCountFrequency (%)
14899 1
0.6%
10844 1
0.6%
7860 1
0.6%
6974 1
0.6%
6923 1
0.6%
5262 1
0.6%
4853 1
0.6%
4733 1
0.6%
4231 1
0.6%
3729 1
0.6%

2023-05
Real number (ℝ)

MISSING 

Distinct65
Distinct (%)70.7%
Missing78
Missing (%)45.9%
Infinite0
Infinite (%)0.0%
Mean1074.9457
Minimum0
Maximum18248
Zeros1
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:45.543364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1.55
Q17.5
median36
Q3216.75
95-th percentile6709.4
Maximum18248
Range18248
Interquartile range (IQR)209.25

Descriptive statistics

Standard deviation2898.826
Coefficient of variation (CV)2.6967187
Kurtosis16.804596
Mean1074.9457
Median Absolute Deviation (MAD)34
Skewness3.8403734
Sum98895
Variance8403192.2
MonotonicityNot monotonic
2023-12-12T12:21:45.743184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 7
 
4.1%
4 6
 
3.5%
1 4
 
2.4%
19 4
 
2.4%
3 3
 
1.8%
27 3
 
1.8%
59 2
 
1.2%
36 2
 
1.2%
38 2
 
1.2%
12 2
 
1.2%
Other values (55) 57
33.5%
(Missing) 78
45.9%
ValueCountFrequency (%)
0 1
 
0.6%
1 4
2.4%
2 7
4.1%
3 3
1.8%
4 6
3.5%
5 1
 
0.6%
6 1
 
0.6%
8 2
 
1.2%
9 1
 
0.6%
12 2
 
1.2%
ValueCountFrequency (%)
18248 1
0.6%
13332 1
0.6%
9027 1
0.6%
8527 1
0.6%
7530 1
0.6%
6038 1
0.6%
5474 1
0.6%
4363 1
0.6%
4325 1
0.6%
3758 1
0.6%

2023-06
Real number (ℝ)

MISSING  ZEROS 

Distinct67
Distinct (%)71.3%
Missing76
Missing (%)44.7%
Infinite0
Infinite (%)0.0%
Mean1001.4681
Minimum0
Maximum18114
Zeros6
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T12:21:45.946855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q16
median39
Q3187.25
95-th percentile7088.5
Maximum18114
Range18114
Interquartile range (IQR)181.25

Descriptive statistics

Standard deviation2939.4763
Coefficient of variation (CV)2.9351673
Kurtosis16.231813
Mean1001.4681
Median Absolute Deviation (MAD)37
Skewness3.8810507
Sum94138
Variance8640521.1
MonotonicityNot monotonic
2023-12-12T12:21:46.163117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6
 
3.5%
1 5
 
2.9%
4 4
 
2.4%
9 3
 
1.8%
3 3
 
1.8%
5 3
 
1.8%
2 2
 
1.2%
16 2
 
1.2%
25 2
 
1.2%
6 2
 
1.2%
Other values (57) 62
36.5%
(Missing) 76
44.7%
ValueCountFrequency (%)
0 6
3.5%
1 5
2.9%
2 2
 
1.2%
3 3
1.8%
4 4
2.4%
5 3
1.8%
6 2
 
1.2%
7 1
 
0.6%
9 3
1.8%
10 2
 
1.2%
ValueCountFrequency (%)
18114 1
0.6%
12437 1
0.6%
12136 1
0.6%
8369 1
0.6%
8317 1
0.6%
6427 1
0.6%
5602 1
0.6%
5433 1
0.6%
3171 1
0.6%
2800 1
0.6%

Sample

구분2018-012018-022018-032018-042018-052018-062018-072018-082018-092018-102018-112018-122019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-06
0제주제주시_농림수산업_무연보통휘발유201684214410552324252924212341525279578242129233219252526252122232629273128253224192425272829282828272328272019172821444426273537333240273842
1제주제주시_농림수산업_실내등유52398122819926004001234911909<NA>541412<NA><NA><NA><NA><NA><NA>1745907171495565127714174710412163462724127826274713910910344152065149383612788684119226
2제주제주시_농림수산업_경유(0.05%)20555221200191952982532602614811938623516860281173322335965192124299513616611927281813725672816127531246<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
3제주제주시_농림수산업_경유(0.001%)81131418211411711112711510174102115106751031148110295128711511441411041187891501461171321551411391341451171211171431267572697467651027669646070551128814281941678076104877788
4제주제주시_농림수산업_경질중유(2.0%)17<NA>7184171945103425<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5제주제주시_농림수산업_경질중유(0.3%)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>53<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
6제주제주시_농림수산업_중유(1.0%)<NA><NA><NA><NA>7<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
7제주제주시_농림수산업_중유(0.5%)403640<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
8제주제주시_농림수산업_중유(0.3%)11993492312171124132914320119761586942183520403943426146415426515926382947635951292<NA><NA><NA><NA>2713582261026<NA><NA><NA><NA><NA>842136620
9제주제주시_농림수산업_부생연료유(등유형)<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>2<NA>424474599183498809761699191316115262713331<NA><NA>3540658814921534117642526742
구분2018-012018-022018-032018-042018-052018-062018-072018-082018-092018-102018-112018-122019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-06
160제주서귀포시_가정_용제원료<NA><NA><NA>0<NA>20122<NA>1<NA><NA><NA>0<NA>21122<NA>1<NA><NA><NA>0<NA>31123<NA>1<NA><NA><NA>0<NA>20122<NA>1<NA><NA><NA>0<NA>20112<NA>0<NA><NA><NA>0<NA>3
161제주서귀포시_가정_프로판19951622159314851332865891966111813101454187921671682164716571164754101110811106158716151948204315451509145514568331008990120414101776213322661732168913991209114710809761132150917071979225721981919140812018389961027130413141846237520872229164114591318896
162제주서귀포시_가정_부탄6038221823100716546140211822100816525832161422100716424732181413100714414934171312000614444434161312
163제주서귀포시_공공_무연보통휘발유769685611762565655624295743333222333343274222334344333332326423433343233273
164제주서귀포시_공공_실내등유10773201174137142382827392822144197932205433462224296568632536529202271434152817335745241021125<NA><NA>24629221321
165제주서귀포시_공공_경유(0.05%)4177656335343503432339515833125587331363434393785523336920635562346713310810310333100203862001315<NA>281631233406311312353451<NA>343252116340092564316328538342044<NA>1373400<NA>339379044987894938713923390137437293758385
166제주서귀포시_공공_경유(0.001%)19535331981051586342926678437839625054453712653141251592422305571633211825522434946102715415112132845213146175668216924363428321221674810415
167제주서귀포시_공공_경질중유(0.3%)<NA><NA><NA>546549<NA><NA><NA><NA><NA>74<NA><NA>3568422360169<NA>33<NA>61<NA>4669844746307017011922<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
168제주서귀포시_공공_중유(0.3%)886312111247111067323<NA>128454<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>239<NA><NA>32<NA>53<NA><NA><NA><NA><NA><NA>12<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
169제주서귀포시_공공_프로판221818<NA>2<NA>131213151621241918<NA>2<NA>151412181822231717<NA>2<NA>151313162024251919<NA>2<NA>161213171922252521<NA>2<NA>151315152127232518<NA>2<NA>