Overview

Dataset statistics

Number of variables63
Number of observations283
Missing cells242
Missing cells (%)1.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory156.6 KiB
Average record size in memory566.5 B

Variable types

Text1
Numeric62

Dataset

Description한국부동산원(구.한국감정원)에서 제공하는 부동산거래현황 중 토지매매 거래현황의 월별 행정구역별(면적) 데이터입니다.-(단위 : 천㎡)- 공표시기 : 익월 말일경
Author한국부동산원
URLhttps://www.data.go.kr/data/15067925/fileData.do

Alerts

2019-01 has 4 (1.4%) missing valuesMissing
2019-02 has 4 (1.4%) missing valuesMissing
2019-03 has 4 (1.4%) missing valuesMissing
2019-04 has 4 (1.4%) missing valuesMissing
2019-05 has 4 (1.4%) missing valuesMissing
2019-06 has 4 (1.4%) missing valuesMissing
2019-07 has 4 (1.4%) missing valuesMissing
2019-08 has 4 (1.4%) missing valuesMissing
2019-09 has 4 (1.4%) missing valuesMissing
2019-10 has 4 (1.4%) missing valuesMissing
2019-11 has 4 (1.4%) missing valuesMissing
2019-12 has 4 (1.4%) missing valuesMissing
2020-01 has 4 (1.4%) missing valuesMissing
2020-02 has 4 (1.4%) missing valuesMissing
2020-03 has 4 (1.4%) missing valuesMissing
2020-04 has 4 (1.4%) missing valuesMissing
2020-05 has 4 (1.4%) missing valuesMissing
2020-06 has 4 (1.4%) missing valuesMissing
2020-07 has 4 (1.4%) missing valuesMissing
2020-08 has 4 (1.4%) missing valuesMissing
2020-09 has 4 (1.4%) missing valuesMissing
2020-10 has 4 (1.4%) missing valuesMissing
2020-11 has 4 (1.4%) missing valuesMissing
2020-12 has 4 (1.4%) missing valuesMissing
2021-01 has 4 (1.4%) missing valuesMissing
2021-02 has 4 (1.4%) missing valuesMissing
2021-03 has 4 (1.4%) missing valuesMissing
2021-04 has 4 (1.4%) missing valuesMissing
2021-05 has 4 (1.4%) missing valuesMissing
2021-06 has 4 (1.4%) missing valuesMissing
2021-07 has 4 (1.4%) missing valuesMissing
2021-08 has 4 (1.4%) missing valuesMissing
2021-09 has 4 (1.4%) missing valuesMissing
2021-10 has 4 (1.4%) missing valuesMissing
2021-11 has 4 (1.4%) missing valuesMissing
2021-12 has 4 (1.4%) missing valuesMissing
2022-01 has 4 (1.4%) missing valuesMissing
2022-02 has 4 (1.4%) missing valuesMissing
2022-03 has 4 (1.4%) missing valuesMissing
2022-04 has 4 (1.4%) missing valuesMissing
2022-05 has 4 (1.4%) missing valuesMissing
2022-06 has 4 (1.4%) missing valuesMissing
2022-07 has 4 (1.4%) missing valuesMissing
2022-08 has 4 (1.4%) missing valuesMissing
2022-09 has 4 (1.4%) missing valuesMissing
2022-10 has 4 (1.4%) missing valuesMissing
2022-11 has 4 (1.4%) missing valuesMissing
2022-12 has 4 (1.4%) missing valuesMissing
2023-01 has 4 (1.4%) missing valuesMissing
2023-02 has 4 (1.4%) missing valuesMissing
2023-03 has 4 (1.4%) missing valuesMissing
2023-04 has 4 (1.4%) missing valuesMissing
2023-05 has 4 (1.4%) missing valuesMissing
2023-06 has 4 (1.4%) missing valuesMissing
2023-07 has 4 (1.4%) missing valuesMissing
2023-08 has 4 (1.4%) missing valuesMissing
2023-09 has 4 (1.4%) missing valuesMissing
2023-10 has 4 (1.4%) missing valuesMissing
2023-11 has 4 (1.4%) missing valuesMissing
2023-12 has 4 (1.4%) missing valuesMissing
지 역 has unique valuesUnique

Reproduction

Analysis started2024-04-06 09:07:36.421244
Analysis finished2024-04-06 09:07:37.507023
Duration1.09 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지 역
Text

UNIQUE 

Distinct283
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2024-04-06T18:07:37.781916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length6
Mean length6.2120141
Min length2

Characters and Unicode

Total characters1758
Distinct characters145
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique283 ?
Unique (%)100.0%

Sample

1st row전국
2nd row서울
3rd row서울/종로구
4th row서울/중구
5th row서울/용산구
ValueCountFrequency (%)
전국 1
 
0.4%
충남/서천군 1
 
0.4%
전북/전주시 1
 
0.4%
전북 1
 
0.4%
충남/태안군 1
 
0.4%
충남/예산군 1
 
0.4%
충남/홍성군 1
 
0.4%
전북/남원시 1
 
0.4%
충남/부여군 1
 
0.4%
전북/전주시/덕진구 1
 
0.4%
Other values (273) 273
96.5%
2024-04-06T18:07:38.368663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 301
17.1%
경 123
 
7.0%
구 119
 
6.8%
시 114
 
6.5%
군 87
 
4.9%
남 82
 
4.7%
기 72
 
4.1%
북 67
 
3.8%
전 50
 
2.8%
산 47
 
2.7%
Other values (135) 696
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1457
82.9%
Other Punctuation 301
 
17.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 123
 
8.4%
구 119
 
8.2%
시 114
 
7.8%
군 87
 
6.0%
남 82
 
5.6%
기 72
 
4.9%
북 67
 
4.6%
전 50
 
3.4%
산 47
 
3.2%
서 43
 
3.0%
Other values (134) 653
44.8%
Other Punctuation
ValueCountFrequency (%)
/ 301
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1457
82.9%
Common 301
 
17.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 123
 
8.4%
구 119
 
8.2%
시 114
 
7.8%
군 87
 
6.0%
남 82
 
5.6%
기 72
 
4.9%
북 67
 
4.6%
전 50
 
3.4%
산 47
 
3.2%
서 43
 
3.0%
Other values (134) 653
44.8%
Common
ValueCountFrequency (%)
/ 301
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1457
82.9%
ASCII 301
 
17.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 301
100.0%
Hangul
ValueCountFrequency (%)
경 123
 
8.4%
구 119
 
8.2%
시 114
 
7.8%
군 87
 
6.0%
남 82
 
5.6%
기 72
 
4.9%
북 67
 
4.6%
전 50
 
3.4%
산 47
 
3.2%
서 43
 
3.0%
Other values (134) 653
44.8%

2019-01
Real number (ℝ)

MISSING 

Distinct225
Distinct (%)80.6%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1157.828
Minimum3
Maximum104605
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:07:38.606858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile16.9
Q164.5
median421
Q3753.5
95-th percentile1554.7
Maximum104605
Range104602
Interquartile range (IQR)689

Descriptive statistics

Standard deviation6540.1723
Coefficient of variation (CV)5.6486564
Kurtosis227.37649
Mean1157.828
Median Absolute Deviation (MAD)350
Skewness14.501159
Sum323034
Variance42773854
MonotonicityNot monotonic
2024-04-06T18:07:38.773775image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21 6
 
2.1%
20 4
 
1.4%
17 4
 
1.4%
466 3
 
1.1%
945 3
 
1.1%
15 3
 
1.1%
91 2
 
0.7%
57 2
 
0.7%
73 2
 
0.7%
30 2
 
0.7%
Other values (215) 248
87.6%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
3 1
 
0.4%
5 1
 
0.4%
6 1
 
0.4%
9 1
 
0.4%
10 1
 
0.4%
12 1
 
0.4%
13 1
 
0.4%
14 2
0.7%
15 3
1.1%
16 2
0.7%
ValueCountFrequency (%)
104605 1
0.4%
16909 1
0.4%
15503 1
0.4%
15255 1
0.4%
11520 1
0.4%
10785 1
0.4%
9062 1
0.4%
9009 1
0.4%
6808 1
0.4%
2177 1
0.4%

2019-02
Real number (ℝ)

MISSING 

Distinct223
Distinct (%)79.9%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean938.01792
Minimum4
Maximum85216
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:07:38.956141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile12
Q153.5
median314
Q3544
95-th percentile1384
Maximum85216
Range85212
Interquartile range (IQR)490.5

Descriptive statistics

Standard deviation5342.4443
Coefficient of variation (CV)5.6954608
Kurtosis225.00747
Mean938.01792
Median Absolute Deviation (MAD)250
Skewness14.404976
Sum261707
Variance28541711
MonotonicityNot monotonic
2024-04-06T18:07:39.146998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 7
 
2.5%
18 4
 
1.4%
9 4
 
1.4%
19 4
 
1.4%
17 4
 
1.4%
22 3
 
1.1%
475 3
 
1.1%
20 3
 
1.1%
14 3
 
1.1%
187 3
 
1.1%
Other values (213) 241
85.2%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
4 1
 
0.4%
5 2
 
0.7%
6 1
 
0.4%
9 4
1.4%
10 2
 
0.7%
11 2
 
0.7%
12 7
2.5%
13 1
 
0.4%
14 3
1.1%
15 1
 
0.4%
ValueCountFrequency (%)
85216 1
0.4%
15181 1
0.4%
13316 1
0.4%
12027 1
0.4%
9459 1
0.4%
8452 1
0.4%
7197 1
0.4%
6687 1
0.4%
5587 1
0.4%
3070 1
0.4%

2019-03
Real number (ℝ)

MISSING 

Distinct229
Distinct (%)82.1%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1169.6953
Minimum3
Maximum106284
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:07:39.355793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile16
Q175
median415
Q3684
95-th percentile1659.8
Maximum106284
Range106281
Interquartile range (IQR)609

Descriptive statistics

Standard deviation6651.9993
Coefficient of variation (CV)5.6869503
Kurtosis226.47273
Mean1169.6953
Median Absolute Deviation (MAD)328
Skewness14.458
Sum326345
Variance44249094
MonotonicityNot monotonic
2024-04-06T18:07:39.579362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21 7
 
2.5%
14 4
 
1.4%
20 4
 
1.4%
12 3
 
1.1%
51 3
 
1.1%
18 3
 
1.1%
19 3
 
1.1%
36 3
 
1.1%
23 3
 
1.1%
16 3
 
1.1%
Other values (219) 243
85.9%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
3 1
 
0.4%
9 1
 
0.4%
12 3
1.1%
13 1
 
0.4%
14 4
1.4%
15 2
0.7%
16 3
1.1%
17 2
0.7%
18 3
1.1%
19 3
1.1%
ValueCountFrequency (%)
106284 1
0.4%
16380 1
0.4%
15718 1
0.4%
15380 1
0.4%
11452 1
0.4%
11021 1
0.4%
10459 1
0.4%
10122 1
0.4%
8074 1
0.4%
2412 1
0.4%

2019-04
Real number (ℝ)

MISSING 

Distinct231
Distinct (%)82.8%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1286.8029
Minimum3
Maximum117540
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:07:39.778304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile16
Q162.5
median381
Q3804
95-th percentile2163.1
Maximum117540
Range117537
Interquartile range (IQR)741.5

Descriptive statistics

Standard deviation7353.3352
Coefficient of variation (CV)5.7144224
Kurtosis226.90759
Mean1286.8029
Median Absolute Deviation (MAD)339
Skewness14.473796
Sum359018
Variance54071538
MonotonicityNot monotonic
2024-04-06T18:07:40.005614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 5
 
1.8%
24 5
 
1.8%
21 3
 
1.1%
20 3
 
1.1%
31 3
 
1.1%
45 3
 
1.1%
110 3
 
1.1%
14 3
 
1.1%
50 3
 
1.1%
33 3
 
1.1%
Other values (221) 245
86.6%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
3 1
 
0.4%
6 1
 
0.4%
7 1
 
0.4%
8 1
 
0.4%
9 1
 
0.4%
12 1
 
0.4%
14 3
1.1%
15 1
 
0.4%
16 5
1.8%
17 1
 
0.4%
ValueCountFrequency (%)
117540 1
0.4%
19214 1
0.4%
16230 1
0.4%
14910 1
0.4%
14437 1
0.4%
13039 1
0.4%
10647 1
0.4%
10593 1
0.4%
8087 1
0.4%
4337 1
0.4%

2019-05
Real number (ℝ)

MISSING 

Distinct237
Distinct (%)84.9%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1235.5914
Minimum2
Maximum112486
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:07:40.239942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile19
Q167
median405
Q3775.5
95-th percentile1805.1
Maximum112486
Range112484
Interquartile range (IQR)708.5

Descriptive statistics

Standard deviation7037.07
Coefficient of variation (CV)5.6953051
Kurtosis226.91516
Mean1235.5914
Median Absolute Deviation (MAD)341
Skewness14.481107
Sum344730
Variance49520354
MonotonicityNot monotonic
2024-04-06T18:07:40.445321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
19 5
 
1.8%
33 4
 
1.4%
23 4
 
1.4%
39 3
 
1.1%
117 3
 
1.1%
598 2
 
0.7%
67 2
 
0.7%
21 2
 
0.7%
621 2
 
0.7%
24 2
 
0.7%
Other values (227) 250
88.3%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
2 1
0.4%
5 1
0.4%
7 1
0.4%
9 1
0.4%
10 1
0.4%
11 1
0.4%
15 1
0.4%
16 1
0.4%
17 1
0.4%
18 2
0.7%
ValueCountFrequency (%)
112486 1
0.4%
17927 1
0.4%
17335 1
0.4%
16092 1
0.4%
12622 1
0.4%
11019 1
0.4%
10363 1
0.4%
9907 1
0.4%
7178 1
0.4%
2305 1
0.4%

2019-06
Real number (ℝ)

MISSING 

Distinct222
Distinct (%)79.6%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1013.8423
Minimum4
Maximum92294
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:07:40.657808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile17.9
Q165.5
median310
Q3664.5
95-th percentile1509.5
Maximum92294
Range92290
Interquartile range (IQR)599

Descriptive statistics

Standard deviation5777.6921
Coefficient of variation (CV)5.6988076
Kurtosis226.3108
Mean1013.8423
Median Absolute Deviation (MAD)265
Skewness14.454508
Sum282862
Variance33381726
MonotonicityNot monotonic
2024-04-06T18:07:40.880921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 5
 
1.8%
21 4
 
1.4%
37 4
 
1.4%
30 3
 
1.1%
104 3
 
1.1%
20 3
 
1.1%
68 3
 
1.1%
44 3
 
1.1%
32 3
 
1.1%
29 3
 
1.1%
Other values (212) 245
86.6%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
4 1
 
0.4%
6 1
 
0.4%
7 1
 
0.4%
8 2
 
0.7%
15 1
 
0.4%
16 5
1.8%
17 3
1.1%
18 2
 
0.7%
19 1
 
0.4%
20 3
1.1%
ValueCountFrequency (%)
92294 1
0.4%
14982 1
0.4%
14150 1
0.4%
12835 1
0.4%
10064 1
0.4%
10042 1
0.4%
8527 1
0.4%
8006 1
0.4%
6232 1
0.4%
1837 1
0.4%

2019-07
Real number (ℝ)

MISSING 

Distinct230
Distinct (%)82.4%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1037.6165
Minimum4
Maximum93813
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:07:41.100727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile24.8
Q185.5
median334
Q3647.5
95-th percentile1614.3
Maximum93813
Range93809
Interquartile range (IQR)562

Descriptive statistics

Standard deviation5858.944
Coefficient of variation (CV)5.6465409
Kurtosis228.40161
Mean1037.6165
Median Absolute Deviation (MAD)273
Skewness14.545237
Sum289495
Variance34327224
MonotonicityNot monotonic
2024-04-06T18:07:41.338112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28 5
 
1.8%
26 4
 
1.4%
215 3
 
1.1%
27 3
 
1.1%
115 3
 
1.1%
31 3
 
1.1%
801 2
 
0.7%
334 2
 
0.7%
360 2
 
0.7%
644 2
 
0.7%
Other values (220) 250
88.3%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
4 1
0.4%
6 2
0.7%
7 1
0.4%
10 2
0.7%
15 1
0.4%
16 1
0.4%
18 1
0.4%
21 2
0.7%
22 2
0.7%
23 1
0.4%
ValueCountFrequency (%)
93813 1
0.4%
15822 1
0.4%
14415 1
0.4%
11063 1
0.4%
10585 1
0.4%
10276 1
0.4%
8363 1
0.4%
6530 1
0.4%
6312 1
0.4%
2357 1
0.4%

2019-08
Real number (ℝ)

MISSING 

Distinct217
Distinct (%)77.8%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean935.48746
Minimum3
Maximum84931
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:07:41.571773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile20
Q170.5
median293
Q3603
95-th percentile1467.1
Maximum84931
Range84928
Interquartile range (IQR)532.5

Descriptive statistics

Standard deviation5313.7577
Coefficient of variation (CV)5.6802019
Kurtosis226.82
Mean935.48746
Median Absolute Deviation (MAD)240
Skewness14.480259
Sum261001
Variance28236020
MonotonicityNot monotonic
2024-04-06T18:07:41.799764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27 4
 
1.4%
17 4
 
1.4%
36 4
 
1.4%
144 3
 
1.1%
215 3
 
1.1%
617 3
 
1.1%
29 3
 
1.1%
41 3
 
1.1%
33 3
 
1.1%
20 3
 
1.1%
Other values (207) 246
86.9%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
3 1
 
0.4%
8 1
 
0.4%
12 1
 
0.4%
13 2
0.7%
16 1
 
0.4%
17 4
1.4%
18 2
0.7%
20 3
1.1%
21 1
 
0.4%
22 1
 
0.4%
ValueCountFrequency (%)
84931 1
0.4%
14620 1
0.4%
12529 1
0.4%
12051 1
0.4%
9440 1
0.4%
8733 1
0.4%
7460 1
0.4%
6774 1
0.4%
5176 1
0.4%
1885 1
0.4%

2019-09
Real number (ℝ)

MISSING 

Distinct218
Distinct (%)78.1%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean847.12186
Minimum6
Maximum77006
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:07:42.019251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile18
Q160
median269
Q3501.5
95-th percentile1351.9
Maximum77006
Range77000
Interquartile range (IQR)441.5

Descriptive statistics

Standard deviation4815.5707
Coefficient of variation (CV)5.6846257
Kurtosis227.2491
Mean847.12186
Median Absolute Deviation (MAD)213
Skewness14.493194
Sum236347
Variance23189721
MonotonicityNot monotonic
2024-04-06T18:07:42.306667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
48 5
 
1.8%
49 4
 
1.4%
59 4
 
1.4%
25 3
 
1.1%
30 3
 
1.1%
34 3
 
1.1%
66 3
 
1.1%
6 3
 
1.1%
32 3
 
1.1%
33 3
 
1.1%
Other values (208) 245
86.6%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
6 3
1.1%
7 1
 
0.4%
8 1
 
0.4%
10 1
 
0.4%
12 1
 
0.4%
14 2
0.7%
15 1
 
0.4%
17 3
1.1%
18 2
0.7%
19 3
1.1%
ValueCountFrequency (%)
77006 1
0.4%
12644 1
0.4%
10924 1
0.4%
10428 1
0.4%
9797 1
0.4%
8464 1
0.4%
6092 1
0.4%
5784 1
0.4%
4999 1
0.4%
2652 1
0.4%

2019-10
Real number (ℝ)

MISSING 

Distinct236
Distinct (%)84.6%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean969.3405
Minimum4
Maximum87922
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:07:42.609524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile24.9
Q176
median325
Q3603
95-th percentile1378.8
Maximum87922
Range87918
Interquartile range (IQR)527

Descriptive statistics

Standard deviation5502.8581
Coefficient of variation (CV)5.6769092
Kurtosis226.51124
Mean969.3405
Median Absolute Deviation (MAD)258
Skewness14.470225
Sum270446
Variance30281447
MonotonicityNot monotonic
2024-04-06T18:07:43.181062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27 5
 
1.8%
36 3
 
1.1%
35 3
 
1.1%
79 3
 
1.1%
32 3
 
1.1%
10 2
 
0.7%
20 2
 
0.7%
637 2
 
0.7%
108 2
 
0.7%
76 2
 
0.7%
Other values (226) 252
89.0%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
4 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 2
0.7%
14 1
0.4%
18 1
0.4%
20 2
0.7%
21 1
0.4%
22 1
0.4%
ValueCountFrequency (%)
87922 1
0.4%
15866 1
0.4%
13735 1
0.4%
11575 1
0.4%
8742 1
0.4%
8289 1
0.4%
8169 1
0.4%
7381 1
0.4%
5793 1
0.4%
2236 1
0.4%

2019-11
Real number (ℝ)

MISSING 

Distinct237
Distinct (%)84.9%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1077.3118
Minimum4
Maximum97450
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:07:43.431699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile27.9
Q177.5
median321
Q3644.5
95-th percentile1818.1
Maximum97450
Range97446
Interquartile range (IQR)567

Descriptive statistics

Standard deviation6124.7175
Coefficient of variation (CV)5.6851854
Kurtosis222.86751
Mean1077.3118
Median Absolute Deviation (MAD)252
Skewness14.332261
Sum300570
Variance37512164
MonotonicityNot monotonic
2024-04-06T18:07:43.657924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70 4
 
1.4%
51 4
 
1.4%
27 3
 
1.1%
28 3
 
1.1%
530 2
 
0.7%
509 2
 
0.7%
117 2
 
0.7%
105 2
 
0.7%
307 2
 
0.7%
67 2
 
0.7%
Other values (227) 253
89.4%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
4 1
 
0.4%
6 2
0.7%
10 1
 
0.4%
15 1
 
0.4%
16 2
0.7%
18 1
 
0.4%
19 1
 
0.4%
22 1
 
0.4%
23 1
 
0.4%
27 3
1.1%
ValueCountFrequency (%)
97450 1
0.4%
20434 1
0.4%
15927 1
0.4%
12952 1
0.4%
10319 1
0.4%
7822 1
0.4%
7615 1
0.4%
6568 1
0.4%
6470 1
0.4%
3216 1
0.4%

2019-12
Real number (ℝ)

MISSING 

Distinct241
Distinct (%)86.4%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1233.2652
Minimum5
Maximum111615
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:07:43.894324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile39.9
Q191
median418
Q3801.5
95-th percentile1896.1
Maximum111615
Range111610
Interquartile range (IQR)710.5

Descriptive statistics

Standard deviation6984.8637
Coefficient of variation (CV)5.6637157
Kurtosis226.57849
Mean1233.2652
Median Absolute Deviation (MAD)334
Skewness14.470116
Sum344081
Variance48788320
MonotonicityNot monotonic
2024-04-06T18:07:44.109324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
341 3
 
1.1%
44 3
 
1.1%
84 3
 
1.1%
117 3
 
1.1%
47 3
 
1.1%
801 2
 
0.7%
35 2
 
0.7%
60 2
 
0.7%
418 2
 
0.7%
38 2
 
0.7%
Other values (231) 254
89.8%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
5 1
0.4%
7 1
0.4%
10 1
0.4%
11 1
0.4%
14 1
0.4%
24 1
0.4%
29 1
0.4%
31 1
0.4%
33 1
0.4%
35 2
0.7%
ValueCountFrequency (%)
111615 1
0.4%
18594 1
0.4%
17200 1
0.4%
16399 1
0.4%
11100 1
0.4%
10986 1
0.4%
10924 1
0.4%
9540 1
0.4%
6684 1
0.4%
2562 1
0.4%

2020-01
Real number (ℝ)

MISSING 

Distinct232
Distinct (%)83.2%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean940.82437
Minimum3
Maximum85117
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:07:44.368516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile28.9
Q189
median318
Q3578.5
95-th percentile1364.1
Maximum85117
Range85114
Interquartile range (IQR)489.5

Descriptive statistics

Standard deviation5327.8075
Coefficient of variation (CV)5.662914
Kurtosis226.40207
Mean940.82437
Median Absolute Deviation (MAD)236
Skewness14.467478
Sum262490
Variance28385532
MonotonicityNot monotonic
2024-04-06T18:07:44.601370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
36 4
 
1.4%
48 3
 
1.1%
55 3
 
1.1%
464 3
 
1.1%
333 3
 
1.1%
124 3
 
1.1%
328 2
 
0.7%
49 2
 
0.7%
61 2
 
0.7%
24 2
 
0.7%
Other values (222) 252
89.0%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
3 1
0.4%
7 1
0.4%
11 1
0.4%
12 1
0.4%
13 2
0.7%
15 1
0.4%
16 1
0.4%
19 1
0.4%
21 1
0.4%
22 1
0.4%
ValueCountFrequency (%)
85117 1
0.4%
15090 1
0.4%
13232 1
0.4%
12051 1
0.4%
9090 1
0.4%
8279 1
0.4%
7862 1
0.4%
6172 1
0.4%
5029 1
0.4%
1628 1
0.4%

2020-02
Real number (ℝ)

MISSING 

Distinct241
Distinct (%)86.4%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1188.5018
Minimum3
Maximum107987
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:07:44.889482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile30
Q187.5
median361
Q3730.5
95-th percentile2098
Maximum107987
Range107984
Interquartile range (IQR)643

Descriptive statistics

Standard deviation6758.711
Coefficient of variation (CV)5.6867487
Kurtosis226.5047
Mean1188.5018
Median Absolute Deviation (MAD)295
Skewness14.466492
Sum331592
Variance45680174
MonotonicityNot monotonic
2024-04-06T18:07:45.193298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35 4
 
1.4%
87 3
 
1.1%
28 3
 
1.1%
256 3
 
1.1%
119 3
 
1.1%
44 3
 
1.1%
82 2
 
0.7%
410 2
 
0.7%
61 2
 
0.7%
18 2
 
0.7%
Other values (231) 252
89.0%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
3 1
 
0.4%
11 1
 
0.4%
17 1
 
0.4%
18 2
0.7%
21 1
 
0.4%
23 1
 
0.4%
25 1
 
0.4%
28 3
1.1%
29 2
0.7%
30 2
0.7%
ValueCountFrequency (%)
107987 1
0.4%
17324 1
0.4%
17232 1
0.4%
16803 1
0.4%
10475 1
0.4%
9877 1
0.4%
9139 1
0.4%
8908 1
0.4%
7219 1
0.4%
3907 1
0.4%

2020-03
Real number (ℝ)

MISSING 

Distinct244
Distinct (%)87.5%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1271.3835
Minimum5
Maximum115643
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:07:45.468616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile29
Q198
median382
Q3840.5
95-th percentile1865.8
Maximum115643
Range115638
Interquartile range (IQR)742.5

Descriptive statistics

Standard deviation7230.8123
Coefficient of variation (CV)5.6873573
Kurtosis227.37107
Mean1271.3835
Median Absolute Deviation (MAD)321
Skewness14.498103
Sum354716
Variance52284646
MonotonicityNot monotonic
2024-04-06T18:07:45.762082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56 4
 
1.4%
15 3
 
1.1%
51 3
 
1.1%
34 3
 
1.1%
48 3
 
1.1%
389 2
 
0.7%
1063 2
 
0.7%
306 2
 
0.7%
21 2
 
0.7%
700 2
 
0.7%
Other values (234) 253
89.4%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
5 1
 
0.4%
9 1
 
0.4%
14 1
 
0.4%
15 3
1.1%
20 1
 
0.4%
21 2
0.7%
22 1
 
0.4%
23 1
 
0.4%
27 1
 
0.4%
28 1
 
0.4%
ValueCountFrequency (%)
115643 1
0.4%
19523 1
0.4%
17234 1
0.4%
13900 1
0.4%
13118 1
0.4%
11304 1
0.4%
10704 1
0.4%
10006 1
0.4%
9952 1
0.4%
2433 1
0.4%

2020-04
Real number (ℝ)

MISSING 

Distinct240
Distinct (%)86.0%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1269.8638
Minimum3
Maximum116143
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:07:46.074531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile20.9
Q173
median332
Q3713.5
95-th percentile1685.7
Maximum116143
Range116140
Interquartile range (IQR)640.5

Descriptive statistics

Standard deviation7383.2901
Coefficient of variation (CV)5.8142378
Kurtosis213.36973
Mean1269.8638
Median Absolute Deviation (MAD)288
Skewness13.952693
Sum354292
Variance54512973
MonotonicityNot monotonic
2024-04-06T18:07:46.338106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25 6
 
2.1%
34 4
 
1.4%
22 3
 
1.1%
73 3
 
1.1%
15 3
 
1.1%
16 2
 
0.7%
449 2
 
0.7%
729 2
 
0.7%
129 2
 
0.7%
54 2
 
0.7%
Other values (230) 250
88.3%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
3 1
 
0.4%
7 1
 
0.4%
9 1
 
0.4%
11 1
 
0.4%
12 1
 
0.4%
14 1
 
0.4%
15 3
1.1%
16 2
0.7%
17 1
 
0.4%
19 1
 
0.4%
ValueCountFrequency (%)
116143 1
0.4%
30298 1
0.4%
14544 1
0.4%
14279 1
0.4%
13898 1
0.4%
12530 1
0.4%
10244 1
0.4%
10068 1
0.4%
8488 1
0.4%
6701 1
0.4%

2020-05
Real number (ℝ)

MISSING 

Distinct226
Distinct (%)81.0%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1142.871
Minimum5
Maximum103606
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:07:46.592872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile21.9
Q169
median352
Q3726.5
95-th percentile1856.4
Maximum103606
Range103601
Interquartile range (IQR)657.5

Descriptive statistics

Standard deviation6482.6618
Coefficient of variation (CV)5.6722605
Kurtosis226.69672
Mean1142.871
Median Absolute Deviation (MAD)299
Skewness14.467635
Sum318861
Variance42024904
MonotonicityNot monotonic
2024-04-06T18:07:46.843234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22 4
 
1.4%
91 4
 
1.4%
26 4
 
1.4%
27 4
 
1.4%
24 3
 
1.1%
20 3
 
1.1%
50 3
 
1.1%
67 3
 
1.1%
54 3
 
1.1%
493 2
 
0.7%
Other values (216) 246
86.9%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
5 1
 
0.4%
8 1
 
0.4%
9 1
 
0.4%
13 2
0.7%
14 1
 
0.4%
15 1
 
0.4%
17 1
 
0.4%
18 1
 
0.4%
20 3
1.1%
21 2
0.7%
ValueCountFrequency (%)
103606 1
0.4%
16191 1
0.4%
15528 1
0.4%
15034 1
0.4%
11004 1
0.4%
10080 1
0.4%
9982 1
0.4%
9202 1
0.4%
8259 1
0.4%
2596 1
0.4%

2020-06
Real number (ℝ)

MISSING 

Distinct244
Distinct (%)87.5%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1364.2222
Minimum8
Maximum123895
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:07:47.104231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile33.8
Q1109
median419
Q3819
95-th percentile2372.9
Maximum123895
Range123887
Interquartile range (IQR)710

Descriptive statistics

Standard deviation7763.1928
Coefficient of variation (CV)5.6905632
Kurtosis225.49001
Mean1364.2222
Median Absolute Deviation (MAD)328
Skewness14.426177
Sum380618
Variance60267162
MonotonicityNot monotonic
2024-04-06T18:07:47.373195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
32 3
 
1.1%
481 3
 
1.1%
106 2
 
0.7%
20 2
 
0.7%
70 2
 
0.7%
165 2
 
0.7%
108 2
 
0.7%
207 2
 
0.7%
588 2
 
0.7%
37 2
 
0.7%
Other values (234) 257
90.8%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
8 1
 
0.4%
11 1
 
0.4%
13 1
 
0.4%
14 1
 
0.4%
18 1
 
0.4%
20 2
0.7%
23 1
 
0.4%
26 1
 
0.4%
31 2
0.7%
32 3
1.1%
ValueCountFrequency (%)
123895 1
0.4%
22214 1
0.4%
19936 1
0.4%
15847 1
0.4%
13105 1
0.4%
12988 1
0.4%
11567 1
0.4%
8622 1
0.4%
8589 1
0.4%
4040 1
0.4%

2020-07
Real number (ℝ)

MISSING 

Distinct248
Distinct (%)88.9%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1214.4409
Minimum5
Maximum110308
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:07:47.623441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile42.8
Q1102
median388
Q3736
95-th percentile1961.6
Maximum110308
Range110303
Interquartile range (IQR)634

Descriptive statistics

Standard deviation6900.4871
Coefficient of variation (CV)5.6820281
Kurtosis227.00031
Mean1214.4409
Median Absolute Deviation (MAD)298
Skewness14.493096
Sum338829
Variance47616723
MonotonicityNot monotonic
2024-04-06T18:07:47.883741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
71 4
 
1.4%
48 3
 
1.1%
45 3
 
1.1%
55 3
 
1.1%
204 2
 
0.7%
119 2
 
0.7%
775 2
 
0.7%
76 2
 
0.7%
88 2
 
0.7%
692 2
 
0.7%
Other values (238) 254
89.8%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
5 1
0.4%
21 1
0.4%
24 1
0.4%
26 1
0.4%
27 1
0.4%
28 1
0.4%
29 1
0.4%
34 1
0.4%
36 2
0.7%
37 1
0.4%
ValueCountFrequency (%)
110308 1
0.4%
21041 1
0.4%
16133 1
0.4%
13174 1
0.4%
11338 1
0.4%
10907 1
0.4%
10659 1
0.4%
8214 1
0.4%
7460 1
0.4%
2563 1
0.4%

2020-08
Real number (ℝ)

MISSING 

Distinct238
Distinct (%)85.3%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean979.84229
Minimum4
Maximum88945
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:07:48.131458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile25.9
Q178
median314
Q3632
95-th percentile1370.5
Maximum88945
Range88941
Interquartile range (IQR)554

Descriptive statistics

Standard deviation5558.4819
Coefficient of variation (CV)5.6728332
Kurtosis227.86307
Mean979.84229
Median Absolute Deviation (MAD)248
Skewness14.523347
Sum273376
Variance30896721
MonotonicityNot monotonic
2024-04-06T18:07:48.390968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28 5
 
1.8%
50 4
 
1.4%
27 3
 
1.1%
39 3
 
1.1%
35 3
 
1.1%
51 3
 
1.1%
632 2
 
0.7%
69 2
 
0.7%
24 2
 
0.7%
26 2
 
0.7%
Other values (228) 250
88.3%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
4 1
0.4%
6 1
0.4%
8 1
0.4%
9 1
0.4%
11 1
0.4%
16 1
0.4%
17 1
0.4%
19 1
0.4%
20 2
0.7%
24 2
0.7%
ValueCountFrequency (%)
88945 1
0.4%
15259 1
0.4%
12990 1
0.4%
12540 1
0.4%
8911 1
0.4%
8173 1
0.4%
8119 1
0.4%
7785 1
0.4%
6010 1
0.4%
1897 1
0.4%

2020-09
Real number (ℝ)

MISSING 

Distinct234
Distinct (%)83.9%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1097.8781
Minimum3
Maximum99779
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:07:48.666718image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile24.9
Q173
median334
Q3646.5
95-th percentile1789.1
Maximum99779
Range99776
Interquartile range (IQR)573.5

Descriptive statistics

Standard deviation6259.0267
Coefficient of variation (CV)5.7010214
Kurtosis224.50714
Mean1097.8781
Median Absolute Deviation (MAD)274
Skewness14.385231
Sum306308
Variance39175416
MonotonicityNot monotonic
2024-04-06T18:07:48.967318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25 5
 
1.8%
385 4
 
1.4%
32 4
 
1.4%
26 3
 
1.1%
29 3
 
1.1%
40 3
 
1.1%
41 2
 
0.7%
38 2
 
0.7%
57 2
 
0.7%
178 2
 
0.7%
Other values (224) 249
88.0%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
3 1
0.4%
5 1
0.4%
7 1
0.4%
8 1
0.4%
11 1
0.4%
13 1
0.4%
14 1
0.4%
17 2
0.7%
21 2
0.7%
22 2
0.7%
ValueCountFrequency (%)
99779 1
0.4%
18080 1
0.4%
15892 1
0.4%
13259 1
0.4%
11954 1
0.4%
10430 1
0.4%
8030 1
0.4%
7421 1
0.4%
6136 1
0.4%
2890 1
0.4%

2020-10
Real number (ℝ)

MISSING 

Distinct231
Distinct (%)82.8%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1036.1828
Minimum3
Maximum94022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:07:49.243077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile20.9
Q177.5
median334
Q3598.5
95-th percentile1727.1
Maximum94022
Range94019
Interquartile range (IQR)521

Descriptive statistics

Standard deviation5883.0609
Coefficient of variation (CV)5.6776284
Kurtosis226.73481
Mean1036.1828
Median Absolute Deviation (MAD)261
Skewness14.474892
Sum289095
Variance34610405
MonotonicityNot monotonic
2024-04-06T18:07:49.509164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
26 4
 
1.4%
31 3
 
1.1%
169 3
 
1.1%
34 3
 
1.1%
20 3
 
1.1%
16 3
 
1.1%
45 2
 
0.7%
21 2
 
0.7%
443 2
 
0.7%
263 2
 
0.7%
Other values (221) 252
89.0%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
3 1
 
0.4%
8 1
 
0.4%
9 1
 
0.4%
10 1
 
0.4%
15 1
 
0.4%
16 3
1.1%
17 1
 
0.4%
18 1
 
0.4%
19 1
 
0.4%
20 3
1.1%
ValueCountFrequency (%)
94022 1
0.4%
16256 1
0.4%
14937 1
0.4%
12066 1
0.4%
9569 1
0.4%
8949 1
0.4%
8918 1
0.4%
7323 1
0.4%
6820 1
0.4%
3309 1
0.4%

2020-11
Real number (ℝ)

MISSING 

Distinct238
Distinct (%)85.3%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1230.3763
Minimum6
Maximum111282
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:07:49.755371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile23.9
Q197.5
median377
Q3803.5
95-th percentile1653.6
Maximum111282
Range111276
Interquartile range (IQR)706

Descriptive statistics

Standard deviation6966.749
Coefficient of variation (CV)5.6622911
Kurtosis226.24637
Mean1230.3763
Median Absolute Deviation (MAD)302
Skewness14.460358
Sum343275
Variance48535591
MonotonicityNot monotonic
2024-04-06T18:07:50.003768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
28 5
 
1.8%
18 3
 
1.1%
997 3
 
1.1%
784 3
 
1.1%
29 3
 
1.1%
94 3
 
1.1%
22 3
 
1.1%
646 2
 
0.7%
80 2
 
0.7%
105 2
 
0.7%
Other values (228) 250
88.3%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
6 1
 
0.4%
8 1
 
0.4%
12 1
 
0.4%
15 1
 
0.4%
18 3
1.1%
19 2
0.7%
20 1
 
0.4%
22 3
1.1%
23 1
 
0.4%
24 2
0.7%
ValueCountFrequency (%)
111282 1
0.4%
19166 1
0.4%
18328 1
0.4%
15528 1
0.4%
11866 1
0.4%
10897 1
0.4%
9383 1
0.4%
8136 1
0.4%
7251 1
0.4%
2332 1
0.4%

2020-12
Real number (ℝ)

MISSING 

Distinct236
Distinct (%)84.6%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1567.3513
Minimum5
Maximum142003
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:07:50.718241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile35
Q1117.5
median456
Q3995
95-th percentile2417.5
Maximum142003
Range141998
Interquartile range (IQR)877.5

Descriptive statistics

Standard deviation8894.5721
Coefficient of variation (CV)5.6749067
Kurtosis225.82555
Mean1567.3513
Median Absolute Deviation (MAD)386
Skewness14.444561
Sum437291
Variance79113412
MonotonicityNot monotonic
2024-04-06T18:07:50.978456image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
40 3
 
1.1%
38 3
 
1.1%
654 3
 
1.1%
39 3
 
1.1%
67 3
 
1.1%
32 3
 
1.1%
1104 2
 
0.7%
168 2
 
0.7%
70 2
 
0.7%
366 2
 
0.7%
Other values (226) 253
89.4%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
5 1
 
0.4%
13 1
 
0.4%
16 1
 
0.4%
24 2
0.7%
25 1
 
0.4%
28 1
 
0.4%
30 2
0.7%
32 3
1.1%
34 1
 
0.4%
35 2
0.7%
ValueCountFrequency (%)
142003 1
0.4%
26964 1
0.4%
21849 1
0.4%
17788 1
0.4%
15214 1
0.4%
14632 1
0.4%
12643 1
0.4%
10833 1
0.4%
7861 1
0.4%
3390 1
0.4%

2021-01
Real number (ℝ)

MISSING 

Distinct244
Distinct (%)87.5%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1110.0932
Minimum2
Maximum100621
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:07:51.241086image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile21.8
Q191
median380
Q3683
95-th percentile1523.5
Maximum100621
Range100619
Interquartile range (IQR)592

Descriptive statistics

Standard deviation6279.6401
Coefficient of variation (CV)5.6568585
Kurtosis229.05831
Mean1110.0932
Median Absolute Deviation (MAD)292
Skewness14.569555
Sum309716
Variance39433880
MonotonicityNot monotonic
2024-04-06T18:07:51.523850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25 4
 
1.4%
48 3
 
1.1%
24 3
 
1.1%
380 3
 
1.1%
295 3
 
1.1%
30 3
 
1.1%
103 2
 
0.7%
468 2
 
0.7%
1022 2
 
0.7%
32 2
 
0.7%
Other values (234) 252
89.0%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
2 1
0.4%
3 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
13 2
0.7%
16 1
0.4%
17 2
0.7%
18 2
0.7%
19 1
0.4%
ValueCountFrequency (%)
100621 1
0.4%
16554 1
0.4%
14366 1
0.4%
12360 1
0.4%
11356 1
0.4%
11187 1
0.4%
8653 1
0.4%
7998 1
0.4%
7458 1
0.4%
2467 1
0.4%

2021-02
Real number (ℝ)

MISSING 

Distinct234
Distinct (%)83.9%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1130.3369
Minimum3
Maximum102591
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:07:51.795148image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile22
Q179
median355
Q3739.5
95-th percentile1590.1
Maximum102591
Range102588
Interquartile range (IQR)660.5

Descriptive statistics

Standard deviation6419.1119
Coefficient of variation (CV)5.6789368
Kurtosis226.76939
Mean1130.3369
Median Absolute Deviation (MAD)296
Skewness14.478282
Sum315364
Variance41204998
MonotonicityNot monotonic
2024-04-06T18:07:52.076614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
22 4
 
1.4%
55 3
 
1.1%
23 3
 
1.1%
38 3
 
1.1%
98 3
 
1.1%
21 3
 
1.1%
25 2
 
0.7%
34 2
 
0.7%
43 2
 
0.7%
113 2
 
0.7%
Other values (224) 252
89.0%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
3 1
 
0.4%
8 1
 
0.4%
10 2
0.7%
12 1
 
0.4%
15 1
 
0.4%
16 1
 
0.4%
17 1
 
0.4%
18 2
0.7%
21 3
1.1%
22 4
1.4%
ValueCountFrequency (%)
102591 1
0.4%
19089 1
0.4%
14197 1
0.4%
12836 1
0.4%
11469 1
0.4%
9914 1
0.4%
9630 1
0.4%
8880 1
0.4%
6764 1
0.4%
2500 1
0.4%

2021-03
Real number (ℝ)

MISSING 

Distinct239
Distinct (%)85.7%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1575.3262
Minimum7
Maximum143188
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:07:52.306164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile26.8
Q1103.5
median504
Q3983.5
95-th percentile2403.4
Maximum143188
Range143181
Interquartile range (IQR)880

Descriptive statistics

Standard deviation8954.1371
Coefficient of variation (CV)5.6839893
Kurtosis227.2626
Mean1575.3262
Median Absolute Deviation (MAD)421
Skewness14.493517
Sum439516
Variance80176571
MonotonicityNot monotonic
2024-04-06T18:07:52.559396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
33 4
 
1.4%
24 3
 
1.1%
109 3
 
1.1%
35 3
 
1.1%
37 3
 
1.1%
30 3
 
1.1%
58 3
 
1.1%
65 3
 
1.1%
107 2
 
0.7%
31 2
 
0.7%
Other values (229) 250
88.3%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
7 1
 
0.4%
10 1
 
0.4%
18 2
0.7%
19 1
 
0.4%
20 1
 
0.4%
21 1
 
0.4%
22 1
 
0.4%
23 2
0.7%
24 3
1.1%
25 1
 
0.4%
ValueCountFrequency (%)
143188 1
0.4%
24685 1
0.4%
19566 1
0.4%
18486 1
0.4%
16251 1
0.4%
16030 1
0.4%
13218 1
0.4%
11044 1
0.4%
10619 1
0.4%
5358 1
0.4%

2021-04
Real number (ℝ)

MISSING 

Distinct233
Distinct (%)83.5%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1568.3333
Minimum6
Maximum142630
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:07:52.791055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile27.9
Q192.5
median492
Q3956
95-th percentile2148
Maximum142630
Range142624
Interquartile range (IQR)863.5

Descriptive statistics

Standard deviation8928.5389
Coefficient of variation (CV)5.693011
Kurtosis226.35152
Mean1568.3333
Median Absolute Deviation (MAD)418
Skewness14.460226
Sum437565
Variance79718808
MonotonicityNot monotonic
2024-04-06T18:07:53.032763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
74 4
 
1.4%
98 4
 
1.4%
24 3
 
1.1%
33 3
 
1.1%
37 3
 
1.1%
28 3
 
1.1%
67 3
 
1.1%
31 3
 
1.1%
351 2
 
0.7%
91 2
 
0.7%
Other values (223) 249
88.0%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
6 1
 
0.4%
14 1
 
0.4%
16 2
0.7%
18 1
 
0.4%
19 1
 
0.4%
21 1
 
0.4%
23 2
0.7%
24 3
1.1%
26 1
 
0.4%
27 1
 
0.4%
ValueCountFrequency (%)
142630 1
0.4%
24341 1
0.4%
21309 1
0.4%
21201 1
0.4%
15892 1
0.4%
13012 1
0.4%
12516 1
0.4%
11518 1
0.4%
9456 1
0.4%
4033 1
0.4%

2021-05
Real number (ℝ)

MISSING 

Distinct237
Distinct (%)84.9%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1373.8387
Minimum10
Maximum125038
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:07:53.303147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10
5-th percentile28.9
Q191.5
median392
Q3851
95-th percentile2449.2
Maximum125038
Range125028
Interquartile range (IQR)759.5

Descriptive statistics

Standard deviation7826.3277
Coefficient of variation (CV)5.696686
Kurtosis226.44804
Mean1373.8387
Median Absolute Deviation (MAD)333
Skewness14.458998
Sum383301
Variance61251406
MonotonicityNot monotonic
2024-04-06T18:07:53.548915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
67 7
 
2.5%
43 3
 
1.1%
236 3
 
1.1%
133 3
 
1.1%
46 3
 
1.1%
38 3
 
1.1%
972 3
 
1.1%
21 3
 
1.1%
35 2
 
0.7%
59 2
 
0.7%
Other values (227) 247
87.3%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
10 1
 
0.4%
11 1
 
0.4%
12 1
 
0.4%
17 1
 
0.4%
18 1
 
0.4%
20 1
 
0.4%
21 3
1.1%
24 1
 
0.4%
25 2
0.7%
26 1
 
0.4%
ValueCountFrequency (%)
125038 1
0.4%
21991 1
0.4%
17049 1
0.4%
16098 1
0.4%
15586 1
0.4%
12087 1
0.4%
11114 1
0.4%
10304 1
0.4%
10006 1
0.4%
3618 1
0.4%

2021-06
Real number (ℝ)

MISSING 

Distinct235
Distinct (%)84.2%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1371.8853
Minimum6
Maximum124321
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:07:53.813320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile25
Q186.5
median387
Q3818
95-th percentile1989.8
Maximum124321
Range124315
Interquartile range (IQR)731.5

Descriptive statistics

Standard deviation7790.8967
Coefficient of variation (CV)5.6789709
Kurtosis225.34729
Mean1371.8853
Median Absolute Deviation (MAD)330
Skewness14.418431
Sum382756
Variance60698072
MonotonicityNot monotonic
2024-04-06T18:07:54.072657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25 4
 
1.4%
341 4
 
1.4%
153 3
 
1.1%
33 3
 
1.1%
42 3
 
1.1%
23 3
 
1.1%
35 3
 
1.1%
39 3
 
1.1%
129 2
 
0.7%
86 2
 
0.7%
Other values (225) 249
88.0%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
6 1
 
0.4%
16 2
0.7%
19 1
 
0.4%
20 1
 
0.4%
21 1
 
0.4%
22 1
 
0.4%
23 3
1.1%
24 2
0.7%
25 4
1.4%
26 1
 
0.4%
ValueCountFrequency (%)
124321 1
0.4%
22898 1
0.4%
18986 1
0.4%
14917 1
0.4%
14231 1
0.4%
13579 1
0.4%
10288 1
0.4%
9864 1
0.4%
8946 1
0.4%
4496 1
0.4%

2021-07
Real number (ℝ)

MISSING 

Distinct237
Distinct (%)84.9%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1248.0968
Minimum6
Maximum113401
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:07:54.335788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile24.9
Q183
median359
Q3766.5
95-th percentile2086.9
Maximum113401
Range113395
Interquartile range (IQR)683.5

Descriptive statistics

Standard deviation7095.0206
Coefficient of variation (CV)5.6846719
Kurtosis226.82704
Mean1248.0968
Median Absolute Deviation (MAD)303
Skewness14.478448
Sum348219
Variance50339318
MonotonicityNot monotonic
2024-04-06T18:07:54.631451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43 4
 
1.4%
145 3
 
1.1%
34 3
 
1.1%
28 3
 
1.1%
54 3
 
1.1%
82 3
 
1.1%
18 3
 
1.1%
30 3
 
1.1%
276 2
 
0.7%
519 2
 
0.7%
Other values (227) 250
88.3%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
6 1
 
0.4%
7 1
 
0.4%
8 1
 
0.4%
13 1
 
0.4%
18 3
1.1%
20 1
 
0.4%
21 2
0.7%
22 1
 
0.4%
23 1
 
0.4%
24 2
0.7%
ValueCountFrequency (%)
113401 1
0.4%
20520 1
0.4%
15646 1
0.4%
13760 1
0.4%
13647 1
0.4%
13313 1
0.4%
8728 1
0.4%
7987 1
0.4%
7898 1
0.4%
3570 1
0.4%

2021-08
Real number (ℝ)

MISSING 

Distinct236
Distinct (%)84.6%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1195.9391
Minimum3
Maximum108686
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:07:54.972935image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile24
Q176
median346
Q3715.5
95-th percentile2058.3
Maximum108686
Range108683
Interquartile range (IQR)639.5

Descriptive statistics

Standard deviation6821.0178
Coefficient of variation (CV)5.7034827
Kurtosis224.11792
Mean1195.9391
Median Absolute Deviation (MAD)291
Skewness14.374269
Sum333667
Variance46526284
MonotonicityNot monotonic
2024-04-06T18:07:55.265787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
25 6
 
2.1%
32 4
 
1.4%
29 3
 
1.1%
24 3
 
1.1%
96 3
 
1.1%
39 3
 
1.1%
28 3
 
1.1%
34 3
 
1.1%
30 2
 
0.7%
62 2
 
0.7%
Other values (226) 247
87.3%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
3 1
0.4%
9 1
0.4%
12 1
0.4%
13 1
0.4%
14 1
0.4%
16 1
0.4%
17 1
0.4%
18 2
0.7%
19 1
0.4%
20 1
0.4%
ValueCountFrequency (%)
108686 1
0.4%
19881 1
0.4%
19052 1
0.4%
14163 1
0.4%
12767 1
0.4%
8504 1
0.4%
8483 1
0.4%
8031 1
0.4%
7687 1
0.4%
3403 1
0.4%

2021-09
Real number (ℝ)

MISSING 

Distinct234
Distinct (%)83.9%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1085.0538
Minimum4
Maximum98013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:07:55.567696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile18
Q157
median320
Q3595
95-th percentile2029.1
Maximum98013
Range98009
Interquartile range (IQR)538

Descriptive statistics

Standard deviation6154.975
Coefficient of variation (CV)5.6725069
Kurtosis223.58897
Mean1085.0538
Median Absolute Deviation (MAD)265
Skewness14.359354
Sum302730
Variance37883717
MonotonicityNot monotonic
2024-04-06T18:07:55.896734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
23 4
 
1.4%
20 4
 
1.4%
29 4
 
1.4%
38 3
 
1.1%
412 3
 
1.1%
342 3
 
1.1%
57 2
 
0.7%
25 2
 
0.7%
43 2
 
0.7%
55 2
 
0.7%
Other values (224) 250
88.3%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
4 1
0.4%
6 1
0.4%
10 1
0.4%
11 2
0.7%
12 1
0.4%
13 1
0.4%
15 2
0.7%
16 2
0.7%
17 2
0.7%
18 2
0.7%
ValueCountFrequency (%)
98013 1
0.4%
21050 1
0.4%
13847 1
0.4%
12501 1
0.4%
10408 1
0.4%
10305 1
0.4%
7065 1
0.4%
6348 1
0.4%
6315 1
0.4%
3428 1
0.4%

2021-10
Real number (ℝ)

MISSING 

Distinct227
Distinct (%)81.4%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1090.6452
Minimum7
Maximum99166
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:07:56.120291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile17
Q160
median335
Q3667.5
95-th percentile1576.8
Maximum99166
Range99159
Interquartile range (IQR)607.5

Descriptive statistics

Standard deviation6212.9463
Coefficient of variation (CV)5.696579
Kurtosis225.58135
Mean1090.6452
Median Absolute Deviation (MAD)284
Skewness14.425477
Sum304290
Variance38600702
MonotonicityNot monotonic
2024-04-06T18:07:56.375013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24 5
 
1.8%
25 4
 
1.4%
19 4
 
1.4%
14 4
 
1.4%
21 4
 
1.4%
51 3
 
1.1%
23 3
 
1.1%
56 3
 
1.1%
8 3
 
1.1%
16 3
 
1.1%
Other values (217) 243
85.9%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
7 1
 
0.4%
8 3
1.1%
10 1
 
0.4%
14 4
1.4%
15 1
 
0.4%
16 3
1.1%
17 3
1.1%
18 2
0.7%
19 4
1.4%
20 1
 
0.4%
ValueCountFrequency (%)
99166 1
0.4%
17448 1
0.4%
14731 1
0.4%
13176 1
0.4%
11419 1
0.4%
10824 1
0.4%
8642 1
0.4%
7966 1
0.4%
6774 1
0.4%
3331 1
0.4%

2021-11
Real number (ℝ)

MISSING 

Distinct241
Distinct (%)86.4%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1285.7921
Minimum5
Maximum116800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:07:56.746907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile16
Q171.5
median400
Q3752
95-th percentile2022.2
Maximum116800
Range116795
Interquartile range (IQR)680.5

Descriptive statistics

Standard deviation7322.2738
Coefficient of variation (CV)5.6947571
Kurtosis225.03997
Mean1285.7921
Median Absolute Deviation (MAD)337
Skewness14.404374
Sum358736
Variance53615694
MonotonicityNot monotonic
2024-04-06T18:07:56.999156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 6
 
2.1%
24 4
 
1.4%
735 3
 
1.1%
23 3
 
1.1%
26 3
 
1.1%
39 3
 
1.1%
105 2
 
0.7%
97 2
 
0.7%
11 2
 
0.7%
191 2
 
0.7%
Other values (231) 249
88.0%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
5 1
 
0.4%
6 1
 
0.4%
7 1
 
0.4%
10 1
 
0.4%
11 2
 
0.7%
13 2
 
0.7%
15 2
 
0.7%
16 6
2.1%
17 1
 
0.4%
18 2
 
0.7%
ValueCountFrequency (%)
116800 1
0.4%
22152 1
0.4%
14747 1
0.4%
14689 1
0.4%
14426 1
0.4%
14266 1
0.4%
9320 1
0.4%
8669 1
0.4%
8188 1
0.4%
5357 1
0.4%

2021-12
Real number (ℝ)

MISSING 

Distinct239
Distinct (%)85.7%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1585.9462
Minimum6
Maximum143809
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:07:57.748055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile17.9
Q196.5
median518
Q3956
95-th percentile2401.7
Maximum143809
Range143803
Interquartile range (IQR)859.5

Descriptive statistics

Standard deviation9021.3656
Coefficient of variation (CV)5.6883174
Kurtosis224.45949
Mean1585.9462
Median Absolute Deviation (MAD)427
Skewness14.384892
Sum442479
Variance81385037
MonotonicityNot monotonic
2024-04-06T18:07:58.072598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14 5
 
1.8%
21 4
 
1.4%
41 3
 
1.1%
13 3
 
1.1%
19 3
 
1.1%
24 3
 
1.1%
98 2
 
0.7%
205 2
 
0.7%
65 2
 
0.7%
36 2
 
0.7%
Other values (229) 250
88.3%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
6 1
 
0.4%
10 2
 
0.7%
13 3
1.1%
14 5
1.8%
15 1
 
0.4%
17 2
 
0.7%
18 2
 
0.7%
19 3
1.1%
20 2
 
0.7%
21 4
1.4%
ValueCountFrequency (%)
143809 1
0.4%
26726 1
0.4%
23474 1
0.4%
17360 1
0.4%
16557 1
0.4%
14511 1
0.4%
12763 1
0.4%
10750 1
0.4%
10494 1
0.4%
3573 1
0.4%

2022-01
Real number (ℝ)

MISSING 

Distinct228
Distinct (%)81.7%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1065.2616
Minimum3
Maximum96427
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:07:58.397539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile12.9
Q158.5
median330
Q3642
95-th percentile1759.9
Maximum96427
Range96424
Interquartile range (IQR)583.5

Descriptive statistics

Standard deviation6045.7807
Coefficient of variation (CV)5.675395
Kurtosis224.89701
Mean1065.2616
Median Absolute Deviation (MAD)289
Skewness14.399778
Sum297208
Variance36551464
MonotonicityNot monotonic
2024-04-06T18:07:58.730919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
16 6
 
2.1%
13 5
 
1.8%
23 5
 
1.8%
25 3
 
1.1%
80 3
 
1.1%
32 3
 
1.1%
8 3
 
1.1%
22 3
 
1.1%
36 3
 
1.1%
159 2
 
0.7%
Other values (218) 243
85.9%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
3 1
 
0.4%
4 1
 
0.4%
5 1
 
0.4%
6 1
 
0.4%
7 1
 
0.4%
8 3
1.1%
10 2
 
0.7%
11 2
 
0.7%
12 2
 
0.7%
13 5
1.8%
ValueCountFrequency (%)
96427 1
0.4%
16639 1
0.4%
15174 1
0.4%
14444 1
0.4%
11404 1
0.4%
8874 1
0.4%
7310 1
0.4%
7123 1
0.4%
6657 1
0.4%
2889 1
0.4%

2022-02
Real number (ℝ)

MISSING 

Distinct227
Distinct (%)81.4%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1102.2545
Minimum1
Maximum99539
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:07:59.124507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10.9
Q140.5
median310
Q3667
95-th percentile1822
Maximum99539
Range99538
Interquartile range (IQR)626.5

Descriptive statistics

Standard deviation6239.5192
Coefficient of variation (CV)5.6606885
Kurtosis225.00064
Mean1102.2545
Median Absolute Deviation (MAD)283
Skewness14.391218
Sum307529
Variance38931600
MonotonicityNot monotonic
2024-04-06T18:07:59.454817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 6
 
2.1%
15 6
 
2.1%
26 4
 
1.4%
8 4
 
1.4%
14 4
 
1.4%
22 3
 
1.1%
9 3
 
1.1%
457 3
 
1.1%
20 3
 
1.1%
11 3
 
1.1%
Other values (217) 240
84.8%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
1 1
 
0.4%
3 1
 
0.4%
6 1
 
0.4%
7 1
 
0.4%
8 4
1.4%
9 3
1.1%
10 3
1.1%
11 3
1.1%
12 6
2.1%
13 2
 
0.7%
ValueCountFrequency (%)
99539 1
0.4%
15527 1
0.4%
15432 1
0.4%
13328 1
0.4%
11795 1
0.4%
10462 1
0.4%
9820 1
0.4%
8724 1
0.4%
7438 1
0.4%
4312 1
0.4%

2022-03
Real number (ℝ)

MISSING 

Distinct234
Distinct (%)83.9%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1275.0609
Minimum4
Maximum115761
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:07:59.790598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile11
Q155
median364
Q3753
95-th percentile2267.3
Maximum115761
Range115757
Interquartile range (IQR)698

Descriptive statistics

Standard deviation7258.1367
Coefficient of variation (CV)5.6923842
Kurtosis224.86758
Mean1275.0609
Median Absolute Deviation (MAD)323
Skewness14.39123
Sum355742
Variance52680549
MonotonicityNot monotonic
2024-04-06T18:08:00.121907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24 4
 
1.4%
10 4
 
1.4%
15 4
 
1.4%
8 3
 
1.1%
59 3
 
1.1%
32 3
 
1.1%
648 3
 
1.1%
9 3
 
1.1%
12 3
 
1.1%
55 2
 
0.7%
Other values (224) 247
87.3%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
4 1
 
0.4%
6 1
 
0.4%
7 1
 
0.4%
8 3
1.1%
9 3
1.1%
10 4
1.4%
11 2
0.7%
12 3
1.1%
13 2
0.7%
14 1
 
0.4%
ValueCountFrequency (%)
115761 1
0.4%
19629 1
0.4%
17021 1
0.4%
16568 1
0.4%
13897 1
0.4%
11481 1
0.4%
9861 1
0.4%
9442 1
0.4%
9347 1
0.4%
3533 1
0.4%

2022-04
Real number (ℝ)

MISSING 

Distinct220
Distinct (%)78.9%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1175.1004
Minimum4
Maximum106245
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:08:00.436489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile14
Q152
median356
Q3751
95-th percentile1758.2
Maximum106245
Range106241
Interquartile range (IQR)699

Descriptive statistics

Standard deviation6665.9168
Coefficient of variation (CV)5.6726362
Kurtosis224.27405
Mean1175.1004
Median Absolute Deviation (MAD)313
Skewness14.374213
Sum327853
Variance44434447
MonotonicityNot monotonic
2024-04-06T18:08:00.748304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
14 6
 
2.1%
23 5
 
1.8%
52 5
 
1.8%
29 4
 
1.4%
13 4
 
1.4%
15 4
 
1.4%
553 4
 
1.4%
20 3
 
1.1%
34 3
 
1.1%
116 3
 
1.1%
Other values (210) 238
84.1%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
4 1
 
0.4%
6 1
 
0.4%
8 1
 
0.4%
11 2
 
0.7%
12 2
 
0.7%
13 4
1.4%
14 6
2.1%
15 4
1.4%
16 3
1.1%
17 1
 
0.4%
ValueCountFrequency (%)
106245 1
0.4%
18329 1
0.4%
16871 1
0.4%
15966 1
0.4%
13375 1
0.4%
9029 1
0.4%
8313 1
0.4%
7846 1
0.4%
7472 1
0.4%
3361 1
0.4%

2022-05
Real number (ℝ)

MISSING 

Distinct235
Distinct (%)84.2%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1151.7348
Minimum4
Maximum104753
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:08:01.095364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile16
Q162
median325
Q3738
95-th percentile1796.6
Maximum104753
Range104749
Interquartile range (IQR)676

Descriptive statistics

Standard deviation6565.5146
Coefficient of variation (CV)5.7005439
Kurtosis225.2348
Mean1151.7348
Median Absolute Deviation (MAD)284
Skewness14.410913
Sum321334
Variance43105982
MonotonicityNot monotonic
2024-04-06T18:08:01.382471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 5
 
1.8%
17 4
 
1.4%
25 4
 
1.4%
33 3
 
1.1%
370 3
 
1.1%
18 3
 
1.1%
94 3
 
1.1%
16 3
 
1.1%
80 2
 
0.7%
47 2
 
0.7%
Other values (225) 247
87.3%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
4 1
 
0.4%
5 1
 
0.4%
7 1
 
0.4%
9 1
 
0.4%
12 2
 
0.7%
14 2
 
0.7%
15 5
1.8%
16 3
1.1%
17 4
1.4%
18 3
1.1%
ValueCountFrequency (%)
104753 1
0.4%
17346 1
0.4%
16848 1
0.4%
13892 1
0.4%
13539 1
0.4%
10104 1
0.4%
8761 1
0.4%
8606 1
0.4%
7298 1
0.4%
3155 1
0.4%

2022-06
Real number (ℝ)

MISSING 

Distinct231
Distinct (%)82.8%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1160.9427
Minimum5
Maximum105596
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:08:01.639945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile13
Q165
median315
Q3681.5
95-th percentile1870.4
Maximum105596
Range105591
Interquartile range (IQR)616.5

Descriptive statistics

Standard deviation6607.9503
Coefficient of variation (CV)5.6918834
Kurtosis226.59312
Mean1160.9427
Median Absolute Deviation (MAD)272
Skewness14.456253
Sum323903
Variance43665007
MonotonicityNot monotonic
2024-04-06T18:08:01.948431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11 4
 
1.4%
22 4
 
1.4%
14 4
 
1.4%
8 3
 
1.1%
15 3
 
1.1%
20 3
 
1.1%
13 3
 
1.1%
24 3
 
1.1%
100 2
 
0.7%
213 2
 
0.7%
Other values (221) 248
87.6%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
5 1
 
0.4%
7 1
 
0.4%
8 3
1.1%
9 1
 
0.4%
10 1
 
0.4%
11 4
1.4%
12 1
 
0.4%
13 3
1.1%
14 4
1.4%
15 3
1.1%
ValueCountFrequency (%)
105596 1
0.4%
15901 1
0.4%
14811 1
0.4%
13801 1
0.4%
13699 1
0.4%
12253 1
0.4%
9241 1
0.4%
9208 1
0.4%
6801 1
0.4%
5148 1
0.4%

2022-07
Real number (ℝ)

MISSING 

Distinct220
Distinct (%)78.9%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean938.26882
Minimum4
Maximum85333
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:08:02.256469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile11.9
Q146.5
median274
Q3587.5
95-th percentile1486.8
Maximum85333
Range85329
Interquartile range (IQR)541

Descriptive statistics

Standard deviation5346.9743
Coefficient of variation (CV)5.6987658
Kurtosis225.47344
Mean938.26882
Median Absolute Deviation (MAD)241
Skewness14.421688
Sum261777
Variance28590134
MonotonicityNot monotonic
2024-04-06T18:08:02.553676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 9
 
3.2%
13 5
 
1.8%
24 5
 
1.8%
11 5
 
1.8%
22 3
 
1.1%
14 3
 
1.1%
455 3
 
1.1%
71 3
 
1.1%
18 3
 
1.1%
21 3
 
1.1%
Other values (210) 237
83.7%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
4 2
 
0.7%
6 2
 
0.7%
7 1
 
0.4%
8 2
 
0.7%
9 1
 
0.4%
10 1
 
0.4%
11 5
1.8%
12 9
3.2%
13 5
1.8%
14 3
 
1.1%
ValueCountFrequency (%)
85333 1
0.4%
15242 1
0.4%
12032 1
0.4%
11677 1
0.4%
10391 1
0.4%
9425 1
0.4%
7542 1
0.4%
5959 1
0.4%
5495 1
0.4%
2494 1
0.4%

2022-08
Real number (ℝ)

MISSING 

Distinct215
Distinct (%)77.1%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean878.03226
Minimum3
Maximum79877
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:08:02.828275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile9
Q135
median256
Q3528
95-th percentile1391.4
Maximum79877
Range79874
Interquartile range (IQR)493

Descriptive statistics

Standard deviation5005.3589
Coefficient of variation (CV)5.7006549
Kurtosis225.38498
Mean878.03226
Median Absolute Deviation (MAD)228
Skewness14.410217
Sum244971
Variance25053617
MonotonicityNot monotonic
2024-04-06T18:08:03.149971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
21 5
 
1.8%
12 5
 
1.8%
13 5
 
1.8%
11 4
 
1.4%
14 4
 
1.4%
10 4
 
1.4%
83 3
 
1.1%
396 3
 
1.1%
4 3
 
1.1%
22 3
 
1.1%
Other values (205) 240
84.8%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
3 2
 
0.7%
4 3
1.1%
5 3
1.1%
6 1
 
0.4%
8 3
1.1%
9 3
1.1%
10 4
1.4%
11 4
1.4%
12 5
1.8%
13 5
1.8%
ValueCountFrequency (%)
79877 1
0.4%
13364 1
0.4%
11291 1
0.4%
10411 1
0.4%
9743 1
0.4%
8534 1
0.4%
8191 1
0.4%
7299 1
0.4%
5121 1
0.4%
2501 1
0.4%

2022-09
Real number (ℝ)

MISSING 

Distinct205
Distinct (%)73.5%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean794.39068
Minimum2
Maximum72252
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:08:03.462520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile8
Q133
median225
Q3470
95-th percentile1353.9
Maximum72252
Range72250
Interquartile range (IQR)437

Descriptive statistics

Standard deviation4529.9271
Coefficient of variation (CV)5.702392
Kurtosis224.92043
Mean794.39068
Median Absolute Deviation (MAD)200
Skewness14.392495
Sum221635
Variance20520239
MonotonicityNot monotonic
2024-04-06T18:08:03.745045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 7
 
2.5%
8 7
 
2.5%
11 4
 
1.4%
14 4
 
1.4%
32 4
 
1.4%
12 4
 
1.4%
279 3
 
1.1%
77 3
 
1.1%
225 3
 
1.1%
39 3
 
1.1%
Other values (195) 237
83.7%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
2 1
 
0.4%
4 1
 
0.4%
5 2
 
0.7%
6 2
 
0.7%
7 7
2.5%
8 7
2.5%
9 3
1.1%
10 3
1.1%
11 4
1.4%
12 4
1.4%
ValueCountFrequency (%)
72252 1
0.4%
11952 1
0.4%
10531 1
0.4%
9815 1
0.4%
9501 1
0.4%
7556 1
0.4%
6544 1
0.4%
6487 1
0.4%
4491 1
0.4%
2130 1
0.4%

2022-10
Real number (ℝ)

MISSING 

Distinct211
Distinct (%)75.6%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean857.26165
Minimum2
Maximum78346
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:08:04.069773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile7
Q131
median223
Q3481.5
95-th percentile1432.6
Maximum78346
Range78344
Interquartile range (IQR)450.5

Descriptive statistics

Standard deviation4935.0599
Coefficient of variation (CV)5.7567721
Kurtosis220.85191
Mean857.26165
Median Absolute Deviation (MAD)204
Skewness14.223883
Sum239176
Variance24354817
MonotonicityNot monotonic
2024-04-06T18:08:04.365420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8 6
 
2.1%
7 6
 
2.1%
17 5
 
1.8%
11 5
 
1.8%
19 5
 
1.8%
9 4
 
1.4%
13 3
 
1.1%
142 3
 
1.1%
10 3
 
1.1%
52 3
 
1.1%
Other values (201) 236
83.4%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
2 1
 
0.4%
3 2
 
0.7%
4 3
1.1%
5 3
1.1%
6 2
 
0.7%
7 6
2.1%
8 6
2.1%
9 4
1.4%
10 3
1.1%
11 5
1.8%
ValueCountFrequency (%)
78346 1
0.4%
15200 1
0.4%
12343 1
0.4%
8904 1
0.4%
8731 1
0.4%
8462 1
0.4%
8127 1
0.4%
6114 1
0.4%
6046 1
0.4%
4382 1
0.4%

2022-11
Real number (ℝ)

MISSING 

Distinct215
Distinct (%)77.1%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean838.51254
Minimum2
Maximum76494
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:08:04.639028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile6
Q125.5
median246
Q3523
95-th percentile1266.6
Maximum76494
Range76492
Interquartile range (IQR)497.5

Descriptive statistics

Standard deviation4794.25
Coefficient of variation (CV)5.717565
Kurtosis225.22702
Mean838.51254
Median Absolute Deviation (MAD)227
Skewness14.400284
Sum233945
Variance22984833
MonotonicityNot monotonic
2024-04-06T18:08:04.911001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 7
 
2.5%
7 6
 
2.1%
6 6
 
2.1%
5 5
 
1.8%
19 4
 
1.4%
16 4
 
1.4%
4 4
 
1.4%
13 3
 
1.1%
17 3
 
1.1%
11 3
 
1.1%
Other values (205) 234
82.7%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
2 1
 
0.4%
3 3
1.1%
4 4
1.4%
5 5
1.8%
6 6
2.1%
7 6
2.1%
8 3
1.1%
9 1
 
0.4%
10 7
2.5%
11 3
1.1%
ValueCountFrequency (%)
76494 1
0.4%
12275 1
0.4%
10673 1
0.4%
9659 1
0.4%
9191 1
0.4%
8949 1
0.4%
8439 1
0.4%
6823 1
0.4%
5628 1
0.4%
2372 1
0.4%

2022-12
Real number (ℝ)

MISSING 

Distinct212
Distinct (%)76.0%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean1032.0896
Minimum1
Maximum94652
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:08:05.193078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q135.5
median254
Q3539
95-th percentile1568.7
Maximum94652
Range94651
Interquartile range (IQR)503.5

Descriptive statistics

Standard deviation5993.1595
Coefficient of variation (CV)5.8068209
Kurtosis216.41567
Mean1032.0896
Median Absolute Deviation (MAD)230
Skewness14.041853
Sum287953
Variance35917960
MonotonicityNot monotonic
2024-04-06T18:08:05.425588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 7
 
2.5%
7 7
 
2.5%
5 5
 
1.8%
25 4
 
1.4%
8 4
 
1.4%
10 4
 
1.4%
13 3
 
1.1%
697 3
 
1.1%
296 3
 
1.1%
16 3
 
1.1%
Other values (202) 236
83.4%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
1 1
 
0.4%
3 1
 
0.4%
4 3
1.1%
5 5
1.8%
6 7
2.5%
7 7
2.5%
8 4
1.4%
9 1
 
0.4%
10 4
1.4%
11 1
 
0.4%
ValueCountFrequency (%)
94652 1
0.4%
19990 1
0.4%
13037 1
0.4%
12572 1
0.4%
12428 1
0.4%
11022 1
0.4%
9834 1
0.4%
7464 1
0.4%
6954 1
0.4%
6366 1
0.4%

2023-01
Real number (ℝ)

MISSING 

Distinct200
Distinct (%)71.7%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean652.8172
Minimum1
Maximum59657
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:08:06.126602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5
Q123.5
median193
Q3373.5
95-th percentile949.5
Maximum59657
Range59656
Interquartile range (IQR)350

Descriptive statistics

Standard deviation3773.0442
Coefficient of variation (CV)5.7796336
Kurtosis217.65839
Mean652.8172
Median Absolute Deviation (MAD)173
Skewness14.126814
Sum182136
Variance14235863
MonotonicityNot monotonic
2024-04-06T18:08:06.453171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 9
 
3.2%
5 6
 
2.1%
6 6
 
2.1%
12 6
 
2.1%
15 5
 
1.8%
9 5
 
1.8%
24 4
 
1.4%
13 4
 
1.4%
30 4
 
1.4%
8 4
 
1.4%
Other values (190) 226
79.9%
ValueCountFrequency (%)
1 1
 
0.4%
3 3
 
1.1%
4 9
3.2%
5 6
2.1%
6 6
2.1%
7 4
1.4%
8 4
1.4%
9 5
1.8%
10 3
 
1.1%
11 2
 
0.7%
ValueCountFrequency (%)
59657 1
0.4%
14799 1
0.4%
7915 1
0.4%
7133 1
0.4%
6376 1
0.4%
5680 1
0.4%
5449 1
0.4%
4577 1
0.4%
4300 1
0.4%
3447 1
0.4%

2023-02
Real number (ℝ)

MISSING 

Distinct216
Distinct (%)77.4%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean826.74552
Minimum1
Maximum74900
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:08:06.734982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6
Q130
median248
Q3518
95-th percentile1192.3
Maximum74900
Range74899
Interquartile range (IQR)488

Descriptive statistics

Standard deviation4693.1474
Coefficient of variation (CV)5.676653
Kurtosis225.38042
Mean826.74552
Median Absolute Deviation (MAD)226
Skewness14.405965
Sum230662
Variance22025632
MonotonicityNot monotonic
2024-04-06T18:08:07.020020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
6 9
 
3.2%
8 5
 
1.8%
11 5
 
1.8%
17 5
 
1.8%
13 4
 
1.4%
7 4
 
1.4%
5 4
 
1.4%
485 3
 
1.1%
554 3
 
1.1%
21 3
 
1.1%
Other values (206) 234
82.7%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
1 1
 
0.4%
2 1
 
0.4%
3 1
 
0.4%
4 1
 
0.4%
5 4
1.4%
6 9
3.2%
7 4
1.4%
8 5
1.8%
9 2
 
0.7%
10 2
 
0.7%
ValueCountFrequency (%)
74900 1
0.4%
11016 1
0.4%
10756 1
0.4%
10404 1
0.4%
8973 1
0.4%
8517 1
0.4%
8306 1
0.4%
7198 1
0.4%
4534 1
0.4%
2922 1
0.4%

2023-03
Real number (ℝ)

MISSING 

Distinct219
Distinct (%)78.5%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean891.26882
Minimum4
Maximum81064
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:08:07.289498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile9
Q133.5
median253
Q3563.5
95-th percentile1404.5
Maximum81064
Range81060
Interquartile range (IQR)530

Descriptive statistics

Standard deviation5081.8482
Coefficient of variation (CV)5.7018131
Kurtosis225.03902
Mean891.26882
Median Absolute Deviation (MAD)230
Skewness14.400459
Sum248664
Variance25825181
MonotonicityNot monotonic
2024-04-06T18:08:07.557847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 6
 
2.1%
12 5
 
1.8%
8 4
 
1.4%
22 4
 
1.4%
9 4
 
1.4%
19 4
 
1.4%
15 3
 
1.1%
40 3
 
1.1%
6 3
 
1.1%
55 3
 
1.1%
Other values (209) 240
84.8%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
4 2
 
0.7%
5 1
 
0.4%
6 3
1.1%
7 2
 
0.7%
8 4
1.4%
9 4
1.4%
10 6
2.1%
11 3
1.1%
12 5
1.8%
13 3
1.1%
ValueCountFrequency (%)
81064 1
0.4%
14397 1
0.4%
11735 1
0.4%
10021 1
0.4%
9975 1
0.4%
8691 1
0.4%
7673 1
0.4%
7220 1
0.4%
5547 1
0.4%
2089 1
0.4%

2023-04
Real number (ℝ)

MISSING 

Distinct209
Distinct (%)74.9%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean827.00358
Minimum1
Maximum75348
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:08:07.860029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.9
Q133
median269
Q3533.5
95-th percentile1074.5
Maximum75348
Range75347
Interquartile range (IQR)500.5

Descriptive statistics

Standard deviation4724.0597
Coefficient of variation (CV)5.7122603
Kurtosis224.94382
Mean827.00358
Median Absolute Deviation (MAD)245
Skewness14.396832
Sum230734
Variance22316740
MonotonicityNot monotonic
2024-04-06T18:08:08.101343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 6
 
2.1%
7 5
 
1.8%
17 5
 
1.8%
12 5
 
1.8%
9 5
 
1.8%
14 4
 
1.4%
25 4
 
1.4%
15 3
 
1.1%
8 3
 
1.1%
28 3
 
1.1%
Other values (199) 236
83.4%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
1 1
 
0.4%
4 1
 
0.4%
5 2
 
0.7%
6 2
 
0.7%
7 5
1.8%
8 3
1.1%
9 5
1.8%
10 6
2.1%
11 2
 
0.7%
12 5
1.8%
ValueCountFrequency (%)
75348 1
0.4%
12607 1
0.4%
11023 1
0.4%
10345 1
0.4%
9986 1
0.4%
7340 1
0.4%
7289 1
0.4%
6325 1
0.4%
5613 1
0.4%
1289 1
0.4%

2023-05
Real number (ℝ)

MISSING 

Distinct222
Distinct (%)79.6%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean942.85305
Minimum2
Maximum86265
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:08:08.371696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile9.9
Q137.5
median289
Q3588
95-th percentile1368.6
Maximum86265
Range86263
Interquartile range (IQR)550.5

Descriptive statistics

Standard deviation5406.2143
Coefficient of variation (CV)5.7338886
Kurtosis225.35006
Mean942.85305
Median Absolute Deviation (MAD)259
Skewness14.409021
Sum263056
Variance29227153
MonotonicityNot monotonic
2024-04-06T18:08:08.608258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 4
 
1.4%
24 4
 
1.4%
37 4
 
1.4%
30 4
 
1.4%
8 4
 
1.4%
12 4
 
1.4%
9 4
 
1.4%
10 3
 
1.1%
16 3
 
1.1%
17 3
 
1.1%
Other values (212) 242
85.5%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
2 1
 
0.4%
4 1
 
0.4%
5 1
 
0.4%
6 2
0.7%
7 1
 
0.4%
8 4
1.4%
9 4
1.4%
10 3
1.1%
11 1
 
0.4%
12 4
1.4%
ValueCountFrequency (%)
86265 1
0.4%
14177 1
0.4%
12361 1
0.4%
12175 1
0.4%
10150 1
0.4%
8861 1
0.4%
8459 1
0.4%
7729 1
0.4%
5723 1
0.4%
3092 1
0.4%

2023-06
Real number (ℝ)

MISSING 

Distinct223
Distinct (%)79.9%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean998.01434
Minimum2
Maximum91184
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:08:08.869654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile11
Q138
median254
Q3550
95-th percentile1318.3
Maximum91184
Range91182
Interquartile range (IQR)512

Descriptive statistics

Standard deviation5761.4589
Coefficient of variation (CV)5.772922
Kurtosis218.13496
Mean998.01434
Median Absolute Deviation (MAD)228
Skewness14.106188
Sum278446
Variance33194409
MonotonicityNot monotonic
2024-04-06T18:08:09.120974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 7
 
2.5%
13 6
 
2.1%
16 5
 
1.8%
18 4
 
1.4%
23 4
 
1.4%
8 4
 
1.4%
172 3
 
1.1%
73 3
 
1.1%
49 3
 
1.1%
36 3
 
1.1%
Other values (213) 237
83.7%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
2 1
 
0.4%
4 1
 
0.4%
5 1
 
0.4%
6 2
 
0.7%
8 4
1.4%
10 3
1.1%
11 3
1.1%
12 7
2.5%
13 6
2.1%
14 3
1.1%
ValueCountFrequency (%)
91184 1
0.4%
17874 1
0.4%
14240 1
0.4%
11328 1
0.4%
10116 1
0.4%
9683 1
0.4%
9003 1
0.4%
8905 1
0.4%
7483 1
0.4%
7236 1
0.4%

2023-07
Real number (ℝ)

MISSING 

Distinct214
Distinct (%)76.7%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean667.30824
Minimum2
Maximum60696
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:08:09.366144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile9
Q134.5
median205
Q3425
95-th percentile989.4
Maximum60696
Range60694
Interquartile range (IQR)390.5

Descriptive statistics

Standard deviation3793.4223
Coefficient of variation (CV)5.6846627
Kurtosis227.75883
Mean667.30824
Median Absolute Deviation (MAD)179
Skewness14.511153
Sum186179
Variance14390053
MonotonicityNot monotonic
2024-04-06T18:08:09.593375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 7
 
2.5%
10 5
 
1.8%
23 5
 
1.8%
7 4
 
1.4%
50 3
 
1.1%
179 3
 
1.1%
20 3
 
1.1%
19 3
 
1.1%
29 3
 
1.1%
11 3
 
1.1%
Other values (204) 240
84.8%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
2 1
 
0.4%
3 1
 
0.4%
4 2
 
0.7%
6 1
 
0.4%
7 4
1.4%
8 3
1.1%
9 3
1.1%
10 5
1.8%
11 3
1.1%
12 7
2.5%
ValueCountFrequency (%)
60696 1
0.4%
9001 1
0.4%
8901 1
0.4%
8591 1
0.4%
6860 1
0.4%
6461 1
0.4%
5811 1
0.4%
5427 1
0.4%
4293 1
0.4%
1081 1
0.4%

2023-08
Real number (ℝ)

MISSING 

Distinct216
Distinct (%)77.4%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean727.3871
Minimum3
Maximum66181
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:08:09.890847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile10
Q131.5
median210
Q3430.5
95-th percentile966.6
Maximum66181
Range66178
Interquartile range (IQR)399

Descriptive statistics

Standard deviation4148.9552
Coefficient of variation (CV)5.7039164
Kurtosis224.9527
Mean727.3871
Median Absolute Deviation (MAD)183
Skewness14.385801
Sum202941
Variance17213829
MonotonicityNot monotonic
2024-04-06T18:08:10.159527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 7
 
2.5%
13 5
 
1.8%
28 5
 
1.8%
9 4
 
1.4%
27 4
 
1.4%
10 4
 
1.4%
15 4
 
1.4%
22 3
 
1.1%
26 3
 
1.1%
59 3
 
1.1%
Other values (206) 237
83.7%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
3 2
 
0.7%
4 1
 
0.4%
5 1
 
0.4%
7 2
 
0.7%
8 1
 
0.4%
9 4
1.4%
10 4
1.4%
11 3
1.1%
12 7
2.5%
13 5
1.8%
ValueCountFrequency (%)
66181 1
0.4%
9585 1
0.4%
9445 1
0.4%
9236 1
0.4%
8594 1
0.4%
7518 1
0.4%
6442 1
0.4%
5484 1
0.4%
4890 1
0.4%
4846 1
0.4%

2023-09
Real number (ℝ)

MISSING 

Distinct206
Distinct (%)73.8%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean613.23297
Minimum1
Maximum55662
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:08:10.429611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile10
Q133
median191
Q3382
95-th percentile989.8
Maximum55662
Range55661
Interquartile range (IQR)349

Descriptive statistics

Standard deviation3480.2955
Coefficient of variation (CV)5.6753235
Kurtosis227.3467
Mean613.23297
Median Absolute Deviation (MAD)163
Skewness14.492992
Sum171092
Variance12112457
MonotonicityNot monotonic
2024-04-06T18:08:10.679398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 6
 
2.1%
18 6
 
2.1%
12 5
 
1.8%
15 5
 
1.8%
10 4
 
1.4%
28 4
 
1.4%
21 4
 
1.4%
431 3
 
1.1%
328 3
 
1.1%
31 3
 
1.1%
Other values (196) 236
83.4%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
1 1
 
0.4%
6 3
1.1%
7 1
 
0.4%
8 2
 
0.7%
9 6
2.1%
10 4
1.4%
11 2
 
0.7%
12 5
1.8%
13 3
1.1%
14 2
 
0.7%
ValueCountFrequency (%)
55662 1
0.4%
8543 1
0.4%
8117 1
0.4%
7638 1
0.4%
6338 1
0.4%
5819 1
0.4%
5713 1
0.4%
4629 1
0.4%
4078 1
0.4%
1377 1
0.4%

2023-10
Real number (ℝ)

MISSING 

Distinct203
Distinct (%)72.8%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean803.7491
Minimum1
Maximum72953
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:08:10.890355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.9
Q132.5
median183
Q3393.5
95-th percentile1200.7
Maximum72953
Range72952
Interquartile range (IQR)361

Descriptive statistics

Standard deviation4708.847
Coefficient of variation (CV)5.8586031
Kurtosis200.9073
Mean803.7491
Median Absolute Deviation (MAD)160
Skewness13.435675
Sum224246
Variance22173240
MonotonicityNot monotonic
2024-04-06T18:08:11.109388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 9
 
3.2%
16 7
 
2.5%
37 4
 
1.4%
8 4
 
1.4%
9 4
 
1.4%
25 4
 
1.4%
12 4
 
1.4%
338 3
 
1.1%
17 3
 
1.1%
32 3
 
1.1%
Other values (193) 234
82.7%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
1 1
 
0.4%
4 1
 
0.4%
5 1
 
0.4%
7 3
 
1.1%
8 4
1.4%
9 4
1.4%
10 9
3.2%
11 2
 
0.7%
12 4
1.4%
13 3
 
1.1%
ValueCountFrequency (%)
72953 1
0.4%
19687 1
0.4%
14508 1
0.4%
10353 1
0.4%
9262 1
0.4%
8529 1
0.4%
7067 1
0.4%
5748 1
0.4%
4467 1
0.4%
3540 1
0.4%

2023-11
Real number (ℝ)

MISSING 

Distinct215
Distinct (%)77.1%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean765.85663
Minimum2
Maximum69758
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:08:11.355525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile9.9
Q139
median217
Q3479
95-th percentile1167.2
Maximum69758
Range69756
Interquartile range (IQR)440

Descriptive statistics

Standard deviation4377.138
Coefficient of variation (CV)5.7153492
Kurtosis224.24987
Mean765.85663
Median Absolute Deviation (MAD)191
Skewness14.37116
Sum213674
Variance19159337
MonotonicityNot monotonic
2024-04-06T18:08:11.582433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 6
 
2.1%
13 5
 
1.8%
10 5
 
1.8%
11 5
 
1.8%
14 4
 
1.4%
6 4
 
1.4%
19 3
 
1.1%
48 3
 
1.1%
16 3
 
1.1%
25 3
 
1.1%
Other values (205) 238
84.1%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
2 1
 
0.4%
4 1
 
0.4%
6 4
1.4%
7 2
 
0.7%
8 3
1.1%
9 3
1.1%
10 5
1.8%
11 5
1.8%
12 6
2.1%
13 5
1.8%
ValueCountFrequency (%)
69758 1
0.4%
12523 1
0.4%
11086 1
0.4%
9261 1
0.4%
8032 1
0.4%
7509 1
0.4%
5573 1
0.4%
5334 1
0.4%
4535 1
0.4%
3309 1
0.4%

2023-12
Real number (ℝ)

MISSING 

Distinct216
Distinct (%)77.4%
Missing4
Missing (%)1.4%
Infinite0
Infinite (%)0.0%
Mean787.61649
Minimum2
Maximum71762
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:08:11.834236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile7.9
Q135
median239
Q3522
95-th percentile1182.2
Maximum71762
Range71760
Interquartile range (IQR)487

Descriptive statistics

Standard deviation4491.2997
Coefficient of variation (CV)5.7023942
Kurtosis226.51577
Mean787.61649
Median Absolute Deviation (MAD)209
Skewness14.459639
Sum219745
Variance20171773
MonotonicityNot monotonic
2024-04-06T18:08:12.089895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10 5
 
1.8%
5 5
 
1.8%
11 4
 
1.4%
30 4
 
1.4%
27 4
 
1.4%
8 4
 
1.4%
16 3
 
1.1%
35 3
 
1.1%
45 3
 
1.1%
53 3
 
1.1%
Other values (206) 241
85.2%
(Missing) 4
 
1.4%
ValueCountFrequency (%)
2 1
 
0.4%
3 2
 
0.7%
4 1
 
0.4%
5 5
1.8%
6 2
 
0.7%
7 3
1.1%
8 4
1.4%
9 3
1.1%
10 5
1.8%
11 4
1.4%
ValueCountFrequency (%)
71762 1
0.4%
11052 1
0.4%
11029 1
0.4%
9713 1
0.4%
8148 1
0.4%
7540 1
0.4%
7349 1
0.4%
6519 1
0.4%
4744 1
0.4%
1434 1
0.4%

2024-01
Real number (ℝ)

Distinct208
Distinct (%)73.8%
Missing1
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean738.8156
Minimum2
Maximum67987
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:08:12.475789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile9
Q127
median222.5
Q3463.5
95-th percentile1272.5
Maximum67987
Range67985
Interquartile range (IQR)436.5

Descriptive statistics

Standard deviation4240.1015
Coefficient of variation (CV)5.7390525
Kurtosis227.39017
Mean738.8156
Median Absolute Deviation (MAD)199.5
Skewness14.475843
Sum208346
Variance17978461
MonotonicityNot monotonic
2024-04-06T18:08:12.812369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 10
 
3.5%
12 6
 
2.1%
10 6
 
2.1%
8 6
 
2.1%
25 4
 
1.4%
34 4
 
1.4%
19 4
 
1.4%
13 3
 
1.1%
15 3
 
1.1%
7 3
 
1.1%
Other values (198) 233
82.3%
ValueCountFrequency (%)
2 3
 
1.1%
6 1
 
0.4%
7 3
 
1.1%
8 6
2.1%
9 10
3.5%
10 6
2.1%
11 2
 
0.7%
12 6
2.1%
13 3
 
1.1%
14 3
 
1.1%
ValueCountFrequency (%)
67987 1
0.4%
11391 1
0.4%
11319 1
0.4%
8359 1
0.4%
7674 1
0.4%
7455 1
0.4%
6188 1
0.4%
5955 1
0.4%
4020 1
0.4%
2212 1
0.4%

2024-02
Real number (ℝ)

Distinct211
Distinct (%)74.8%
Missing1
Missing (%)0.4%
Infinite0
Infinite (%)0.0%
Mean664.02482
Minimum1
Maximum61158
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.6 KiB
2024-04-06T18:08:13.063446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.05
Q127.25
median207
Q3449.5
95-th percentile905.2
Maximum61158
Range61157
Interquartile range (IQR)422.25

Descriptive statistics

Standard deviation3800.8634
Coefficient of variation (CV)5.7239779
Kurtosis230.54222
Mean664.02482
Median Absolute Deviation (MAD)184.5
Skewness14.599229
Sum187255
Variance14446562
MonotonicityNot monotonic
2024-04-06T18:08:13.715912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 7
 
2.5%
11 5
 
1.8%
8 5
 
1.8%
9 4
 
1.4%
10 3
 
1.1%
23 3
 
1.1%
18 3
 
1.1%
22 3
 
1.1%
48 3
 
1.1%
21 3
 
1.1%
Other values (201) 243
85.9%
ValueCountFrequency (%)
1 1
 
0.4%
2 1
 
0.4%
4 2
 
0.7%
5 3
1.1%
6 1
 
0.4%
7 2
 
0.7%
8 5
1.8%
9 4
1.4%
10 3
1.1%
11 5
1.8%
ValueCountFrequency (%)
61158 1
0.4%
9205 1
0.4%
8554 1
0.4%
7412 1
0.4%
7341 1
0.4%
7180 1
0.4%
5683 1
0.4%
5640 1
0.4%
4828 1
0.4%
1638 1
0.4%

Sample

지 역2019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-062023-072023-082023-092023-102023-112023-122024-012024-02
0전국1046058521610628411754011248692294938138493177006879229745011161585117107987115643116143103606123895110308889459977994022111282142003100621102591143188142630125038124321113401108686980139916611680014380996427995391157611062451047531055968533379877722527834676494946525965774900810647534886265911846069666181556627295369758717626798761158
1서울7304215636167031056939853107395110411386115314901093727711119614619867977157551104824898115399010929078681282675578612901502416522676782765511382359281244248187286335307433432382374431457313329322350
2서울/종로구151614172218162419282229362323151775443324242830183449743035592423172693131624144025581210810257811171813913151912161411
3서울/중구2110171525815171732182416531471313342834161516131029192120251611813103312101317913511473511812913109859125105
4서울/용산구17112216191721303325274436252922245436253916223223212474373630272719204114152443251713117866610713252592091010898
5서울/성동구105201215222640325830484835272113264337212023321726232320161819211637301212151544222015144359461310131714141320147812
6서울/광진구4517151429162226202931672236036342235362825201925202521302619222515162314108121515172198767468910127811898916
7서울/동대문구19231621312122434826391008035392521315228263118402522351835244336201516212314111315141311559677121618121312131091298
8서울/중랑구1714211819154324492635412832462529354832252618302625363543333026232115181312161419141210131119876126911791098677
9서울/성북구29203224332938364147516166655935385471433235414433383746493233322924242216121325182411231119168911142215163119181512221314
지 역2019-012019-022019-032019-042019-052019-062019-072019-082019-092019-102019-112019-122020-012020-022020-032020-042020-052020-062020-072020-082020-092020-102020-112020-122021-012021-022021-032021-042021-052021-062021-072021-082021-092021-102021-112021-122022-012022-022022-032022-042022-052022-062022-072022-082022-092022-102022-112022-122023-012023-022023-032023-042023-052023-062023-072023-082023-092023-102023-112023-122024-012024-02
273경남/고성군371345120369860659371633440137928063732150371341271137861336129746063150729553958211355114523512753623032239765653384233656076103913961205313438560246456477357398471227374326262197585211183
274경남/남해군2913144694185642893522251633201963951711602311692302992581571272253442553842283822872473322902211592402521952612993734302459482471341551371791641372402212221452224811421888894164224241
275경남/하동군48532867868480372446740340736824543226223190430641165847051984541043945614153777387434675112914275663423371109798364451466509707455261243270675184184429318526393409179338381182326248247351
276경남/산청군536312679438584333467724194130235188334540958633258661356341854634842662914643506171553833650530264644454658723173884364364466374522417328464557364153292213115221198823219600182190162333444326
277경남/함양군1183187462321535411501289380461235507382327158440919774141828719439531754253799253587486673004003504146865685725906726104684511487616664852269509248243381325325448523302441302210206597215388
278경남/거창군62552312571229424415855265407358491802404592461123025962907619451506700711654104611247479506741037570510390717426107399665364865981911714727313954616121002418352509733595345491280557720364482637510
279경남/합천군68190279375459510434297827764244936325237216491139980129471868030850253199276750880371386662638482741260858396168115238779174091459683387768231651643361412690473611318304845350377734962391578
280제주16531286136119191405121723571571129312141205159410201348129516801074151616401222118010941256214015181533176317271672181029431908181615762012221312151118169016751754342517351312124995911521237893123315208789221316104810981377838121412541128803
281제주/제주시9637258719126997881468862951631661107955386274172958210341139777772663763119710137471009979109211032079121711841016131414666227169601045104728591223745683623666882516533933490572722634667716521709702613490
282제주/서귀포시6905604901008707429889709342583543515468486554951493481501445408431493942505786754748580707864691632560698747593402730630707567512567566336486355377699587388350594414431661317505551515313