Overview

Dataset statistics

Number of variables25
Number of observations8500
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.8 MiB
Average record size in memory224.0 B

Variable types

Numeric24
Text1

Dataset

Description기준_년분기_코드,행정동_코드,행정동_코드_명,총_유동인구_수,남성_유동인구_수,여성_유동인구_수,연령대_10_유동인구_수,연령대_20_유동인구_수,연령대_30_유동인구_수,연령대_40_유동인구_수,연령대_50_유동인구_수,연령대_60_이상_유동인구_수,시간대_00_06_유동인구_수,시간대_06_11_유동인구_수,시간대_11_14_유동인구_수,시간대_14_17_유동인구_수,시간대_17_21_유동인구_수,시간대_21_24_유동인구_수,월요일_유동인구_수,화요일_유동인구_수,수요일_유동인구_수,목요일_유동인구_수,금요일_유동인구_수,토요일_유동인구_수,일요일_유동인구_수
Author서울신용보증재단
URLhttps://data.seoul.go.kr/dataList/OA-22178/S/1/datasetView.do

Reproduction

Analysis started2024-05-04 01:21:50.971985
Analysis finished2024-05-04 01:21:51.783315
Duration0.81 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준_년분기_코드
Real number (ℝ)

Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20212.5
Minimum20191
Maximum20234
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.8 KiB
2024-05-04T01:21:51.954233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20191
5-th percentile20191.95
Q120201.75
median20212.5
Q320223.25
95-th percentile20233.05
Maximum20234
Range43
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation14.187096
Coefficient of variation (CV)0.00070189712
Kurtosis-1.2840029
Mean20212.5
Median Absolute Deviation (MAD)11
Skewness0
Sum1.7180625 × 108
Variance201.27368
MonotonicityNot monotonic
2024-05-04T01:21:52.249491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
20191 425
 
5.0%
20214 425
 
5.0%
20234 425
 
5.0%
20233 425
 
5.0%
20232 425
 
5.0%
20231 425
 
5.0%
20224 425
 
5.0%
20223 425
 
5.0%
20222 425
 
5.0%
20221 425
 
5.0%
Other values (10) 4250
50.0%
ValueCountFrequency (%)
20191 425
5.0%
20192 425
5.0%
20193 425
5.0%
20194 425
5.0%
20201 425
5.0%
20202 425
5.0%
20203 425
5.0%
20204 425
5.0%
20211 425
5.0%
20212 425
5.0%
ValueCountFrequency (%)
20234 425
5.0%
20233 425
5.0%
20232 425
5.0%
20231 425
5.0%
20224 425
5.0%
20223 425
5.0%
20222 425
5.0%
20221 425
5.0%
20214 425
5.0%
20213 425
5.0%

행정동_코드
Real number (ℝ)

Distinct425
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11433425
Minimum11110515
Maximum11740700
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.8 KiB
2024-05-04T01:21:52.488100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11110515
5-th percentile11140580
Q111260655
median11440630
Q311590680
95-th percentile11710680
Maximum11740700
Range630185
Interquartile range (IQR)330025

Descriptive statistics

Standard deviation191511.86
Coefficient of variation (CV)0.016750174
Kurtosis-1.2631187
Mean11433425
Median Absolute Deviation (MAD)179940
Skewness-0.01466905
Sum9.7184111 × 1010
Variance3.6676792 × 1010
MonotonicityNot monotonic
2024-05-04T01:21:52.751230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11680531 20
 
0.2%
11560605 20
 
0.2%
11560560 20
 
0.2%
11560550 20
 
0.2%
11560540 20
 
0.2%
11560535 20
 
0.2%
11560515 20
 
0.2%
11545710 20
 
0.2%
11545700 20
 
0.2%
11545690 20
 
0.2%
Other values (415) 8300
97.6%
ValueCountFrequency (%)
11110515 20
0.2%
11110530 20
0.2%
11110540 20
0.2%
11110550 20
0.2%
11110560 20
0.2%
11110570 20
0.2%
11110580 20
0.2%
11110600 20
0.2%
11110615 20
0.2%
11110630 20
0.2%
ValueCountFrequency (%)
11740700 20
0.2%
11740690 20
0.2%
11740685 20
0.2%
11740660 20
0.2%
11740650 20
0.2%
11740640 20
0.2%
11740620 20
0.2%
11740610 20
0.2%
11740600 20
0.2%
11740590 20
0.2%
Distinct424
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size66.5 KiB
2024-05-04T01:21:53.482611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length4
Mean length3.7882353
Min length2

Characters and Unicode

Total characters32200
Distinct characters188
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row논현2동
2nd row압구정동
3rd row청담동
4th row삼성1동
5th row삼성2동
ValueCountFrequency (%)
신사동 40
 
0.5%
고척1동 20
 
0.2%
여의동 20
 
0.2%
영등포동 20
 
0.2%
영등포본동 20
 
0.2%
시흥5동 20
 
0.2%
시흥4동 20
 
0.2%
시흥3동 20
 
0.2%
시흥2동 20
 
0.2%
시흥1동 20
 
0.2%
Other values (414) 8280
97.4%
2024-05-04T01:21:54.503090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8540
26.5%
2 1940
 
6.0%
1 1940
 
6.0%
3 860
 
2.7%
760
 
2.4%
4 520
 
1.6%
460
 
1.4%
360
 
1.1%
340
 
1.1%
340
 
1.1%
Other values (178) 16140
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26180
81.3%
Decimal Number 5840
 
18.1%
Other Punctuation 180
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8540
32.6%
760
 
2.9%
460
 
1.8%
360
 
1.4%
340
 
1.3%
340
 
1.3%
320
 
1.2%
320
 
1.2%
320
 
1.2%
320
 
1.2%
Other values (167) 14100
53.9%
Decimal Number
ValueCountFrequency (%)
2 1940
33.2%
1 1940
33.2%
3 860
14.7%
4 520
 
8.9%
5 220
 
3.8%
6 140
 
2.4%
7 120
 
2.1%
8 60
 
1.0%
0 20
 
0.3%
9 20
 
0.3%
Other Punctuation
ValueCountFrequency (%)
? 180
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26180
81.3%
Common 6020
 
18.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8540
32.6%
760
 
2.9%
460
 
1.8%
360
 
1.4%
340
 
1.3%
340
 
1.3%
320
 
1.2%
320
 
1.2%
320
 
1.2%
320
 
1.2%
Other values (167) 14100
53.9%
Common
ValueCountFrequency (%)
2 1940
32.2%
1 1940
32.2%
3 860
14.3%
4 520
 
8.6%
5 220
 
3.7%
? 180
 
3.0%
6 140
 
2.3%
7 120
 
2.0%
8 60
 
1.0%
0 20
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26180
81.3%
ASCII 6020
 
18.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
8540
32.6%
760
 
2.9%
460
 
1.8%
360
 
1.4%
340
 
1.3%
340
 
1.3%
320
 
1.2%
320
 
1.2%
320
 
1.2%
320
 
1.2%
Other values (167) 14100
53.9%
ASCII
ValueCountFrequency (%)
2 1940
32.2%
1 1940
32.2%
3 860
14.3%
4 520
 
8.6%
5 220
 
3.7%
? 180
 
3.0%
6 140
 
2.3%
7 120
 
2.0%
8 60
 
1.0%
0 20
 
0.3%

총_유동인구_수
Real number (ℝ)

Distinct8495
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5566161.1
Minimum7070
Maximum23188491
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.8 KiB
2024-05-04T01:21:54.942039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7070
5-th percentile1609380.5
Q13467924.2
median5291760.5
Q37029165.5
95-th percentile11056914
Maximum23188491
Range23181421
Interquartile range (IQR)3561241.2

Descriptive statistics

Standard deviation2959135.2
Coefficient of variation (CV)0.53162946
Kurtosis2.9677784
Mean5566161.1
Median Absolute Deviation (MAD)1786451
Skewness1.2085618
Sum4.731237 × 1010
Variance8.7564813 × 1012
MonotonicityNot monotonic
2024-05-04T01:21:55.400713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4101924 2
 
< 0.1%
7102907 2
 
< 0.1%
6047281 2
 
< 0.1%
6626119 2
 
< 0.1%
5554327 2
 
< 0.1%
11183375 1
 
< 0.1%
6057352 1
 
< 0.1%
9682468 1
 
< 0.1%
4688934 1
 
< 0.1%
10040365 1
 
< 0.1%
Other values (8485) 8485
99.8%
ValueCountFrequency (%)
7070 1
< 0.1%
7864 1
< 0.1%
7949 1
< 0.1%
8074 1
< 0.1%
8156 1
< 0.1%
8220 1
< 0.1%
8315 1
< 0.1%
8350 1
< 0.1%
8446 1
< 0.1%
8579 1
< 0.1%
ValueCountFrequency (%)
23188491 1
< 0.1%
22999664 1
< 0.1%
22842060 1
< 0.1%
22585453 1
< 0.1%
22048225 1
< 0.1%
21889550 1
< 0.1%
21676280 1
< 0.1%
21647617 1
< 0.1%
21645248 1
< 0.1%
21619561 1
< 0.1%

남성_유동인구_수
Real number (ℝ)

Distinct8491
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2626802.9
Minimum3566
Maximum11945332
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.8 KiB
2024-05-04T01:21:55.866376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3566
5-th percentile753740.85
Q11625844.5
median2483716.5
Q33319704.5
95-th percentile5235055.3
Maximum11945332
Range11941766
Interquartile range (IQR)1693860

Descriptive statistics

Standard deviation1421504.2
Coefficient of variation (CV)0.54115372
Kurtosis3.9117747
Mean2626802.9
Median Absolute Deviation (MAD)849930
Skewness1.3458006
Sum2.2327825 × 1010
Variance2.0206741 × 1012
MonotonicityNot monotonic
2024-05-04T01:21:56.359781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2724044 2
 
< 0.1%
2724598 2
 
< 0.1%
1504952 2
 
< 0.1%
2319391 2
 
< 0.1%
1537627 2
 
< 0.1%
1736211 2
 
< 0.1%
2276235 2
 
< 0.1%
3366800 2
 
< 0.1%
2689569 2
 
< 0.1%
5543366 1
 
< 0.1%
Other values (8481) 8481
99.8%
ValueCountFrequency (%)
3566 1
< 0.1%
3936 1
< 0.1%
4020 1
< 0.1%
4064 1
< 0.1%
4161 1
< 0.1%
4189 1
< 0.1%
4326 1
< 0.1%
4327 1
< 0.1%
4383 1
< 0.1%
4470 1
< 0.1%
ValueCountFrequency (%)
11945332 1
< 0.1%
11757981 1
< 0.1%
11707624 1
< 0.1%
11640568 1
< 0.1%
11484790 1
< 0.1%
11335641 1
< 0.1%
11300329 1
< 0.1%
11291245 1
< 0.1%
11230803 1
< 0.1%
11224697 1
< 0.1%

여성_유동인구_수
Real number (ℝ)

Distinct8493
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2939358.2
Minimum3504
Maximum11243160
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.8 KiB
2024-05-04T01:21:56.806564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3504
5-th percentile841263.5
Q11849185.2
median2771883
Q33747603.8
95-th percentile5795520
Maximum11243160
Range11239656
Interquartile range (IQR)1898418.5

Descriptive statistics

Standard deviation1553440.2
Coefficient of variation (CV)0.5284964
Kurtosis2.4259181
Mean2939358.2
Median Absolute Deviation (MAD)946140
Skewness1.1284879
Sum2.4984545 × 1010
Variance2.4131766 × 1012
MonotonicityNot monotonic
2024-05-04T01:21:57.099385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1769005 2
 
< 0.1%
4081533 2
 
< 0.1%
2350492 2
 
< 0.1%
1160237 2
 
< 0.1%
1487063 2
 
< 0.1%
3128595 2
 
< 0.1%
2874556 2
 
< 0.1%
5640010 1
 
< 0.1%
10375953 1
 
< 0.1%
2429249 1
 
< 0.1%
Other values (8483) 8483
99.8%
ValueCountFrequency (%)
3504 1
< 0.1%
3928 1
< 0.1%
3930 1
< 0.1%
3988 1
< 0.1%
3994 1
< 0.1%
4010 1
< 0.1%
4024 1
< 0.1%
4030 1
< 0.1%
4063 1
< 0.1%
4108 1
< 0.1%
ValueCountFrequency (%)
11243160 1
< 0.1%
11241684 1
< 0.1%
11134436 1
< 0.1%
10944887 1
< 0.1%
10693854 1
< 0.1%
10563435 1
< 0.1%
10553909 1
< 0.1%
10439303 1
< 0.1%
10413111 1
< 0.1%
10394864 1
< 0.1%
Distinct8481
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean819550.67
Minimum1598
Maximum4018667
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.8 KiB
2024-05-04T01:21:57.380797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1598
5-th percentile187404.65
Q1509544.75
median740732.5
Q31072660
95-th percentile1679699.6
Maximum4018667
Range4017069
Interquartile range (IQR)563115.25

Descriptive statistics

Standard deviation448342.08
Coefficient of variation (CV)0.54705841
Kurtosis1.1820263
Mean819550.67
Median Absolute Deviation (MAD)270796
Skewness0.91898603
Sum6.9661807 × 109
Variance2.0101062 × 1011
MonotonicityNot monotonic
2024-05-04T01:21:57.744318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
772435 2
 
< 0.1%
695124 2
 
< 0.1%
968082 2
 
< 0.1%
957363 2
 
< 0.1%
1105170 2
 
< 0.1%
633556 2
 
< 0.1%
646596 2
 
< 0.1%
476805 2
 
< 0.1%
1657615 2
 
< 0.1%
977586 2
 
< 0.1%
Other values (8471) 8480
99.8%
ValueCountFrequency (%)
1598 1
< 0.1%
1657 1
< 0.1%
1704 1
< 0.1%
1733 1
< 0.1%
1774 1
< 0.1%
1842 1
< 0.1%
1845 1
< 0.1%
1888 1
< 0.1%
1892 1
< 0.1%
1894 1
< 0.1%
ValueCountFrequency (%)
4018667 1
< 0.1%
3311649 1
< 0.1%
3011776 1
< 0.1%
2938692 1
< 0.1%
2850162 1
< 0.1%
2756402 1
< 0.1%
2755387 1
< 0.1%
2607115 1
< 0.1%
2582665 1
< 0.1%
2541761 1
< 0.1%
Distinct8478
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean882854.46
Minimum725
Maximum6648642
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.8 KiB
2024-05-04T01:21:58.162835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum725
5-th percentile166988.1
Q1427388
median736449.5
Q31098615.5
95-th percentile2118091.6
Maximum6648642
Range6647917
Interquartile range (IQR)671227.5

Descriptive statistics

Standard deviation697269.49
Coefficient of variation (CV)0.78978985
Kurtosis11.98028
Mean882854.46
Median Absolute Deviation (MAD)326771.5
Skewness2.6474252
Sum7.5042629 × 109
Variance4.8618474 × 1011
MonotonicityNot monotonic
2024-05-04T01:21:58.607064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
757411 2
 
< 0.1%
557910 2
 
< 0.1%
818589 2
 
< 0.1%
702330 2
 
< 0.1%
1412322 2
 
< 0.1%
736420 2
 
< 0.1%
704290 2
 
< 0.1%
1132303 2
 
< 0.1%
1182 2
 
< 0.1%
781333 2
 
< 0.1%
Other values (8468) 8480
99.8%
ValueCountFrequency (%)
725 1
< 0.1%
745 1
< 0.1%
776 1
< 0.1%
780 1
< 0.1%
785 1
< 0.1%
798 1
< 0.1%
805 1
< 0.1%
809 1
< 0.1%
832 1
< 0.1%
835 1
< 0.1%
ValueCountFrequency (%)
6648642 1
< 0.1%
6425014 1
< 0.1%
6398952 1
< 0.1%
6282917 1
< 0.1%
6221811 1
< 0.1%
6171253 1
< 0.1%
6149309 1
< 0.1%
6117391 1
< 0.1%
6113711 1
< 0.1%
6089216 1
< 0.1%
Distinct8474
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean922867.1
Minimum853
Maximum6303219
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.8 KiB
2024-05-04T01:21:59.684982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum853
5-th percentile214098.1
Q1510859.75
median832478
Q31213210.5
95-th percentile1820822.9
Maximum6303219
Range6302366
Interquartile range (IQR)702350.75

Descriptive statistics

Standard deviation595398.2
Coefficient of variation (CV)0.64516136
Kurtosis12.757841
Mean922867.1
Median Absolute Deviation (MAD)349162
Skewness2.355074
Sum7.8443703 × 109
Variance3.5449901 × 1011
MonotonicityNot monotonic
2024-05-04T01:22:00.167986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
646288 2
 
< 0.1%
712845 2
 
< 0.1%
1200040 2
 
< 0.1%
689710 2
 
< 0.1%
731637 2
 
< 0.1%
262523 2
 
< 0.1%
1216995 2
 
< 0.1%
304813 2
 
< 0.1%
481075 2
 
< 0.1%
664009 2
 
< 0.1%
Other values (8464) 8480
99.8%
ValueCountFrequency (%)
853 1
< 0.1%
1010 2
< 0.1%
1018 1
< 0.1%
1026 1
< 0.1%
1034 1
< 0.1%
1041 1
< 0.1%
1077 1
< 0.1%
1129 1
< 0.1%
1184 1
< 0.1%
1244 1
< 0.1%
ValueCountFrequency (%)
6303219 1
< 0.1%
6200806 1
< 0.1%
6140715 1
< 0.1%
6131984 1
< 0.1%
6087502 1
< 0.1%
6052709 1
< 0.1%
6049966 1
< 0.1%
6021477 1
< 0.1%
6014451 1
< 0.1%
5942079 1
< 0.1%
Distinct8473
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean895113.05
Minimum1083
Maximum4342325
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.8 KiB
2024-05-04T01:22:00.484203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1083
5-th percentile264157.25
Q1557451
median830278
Q31128735.2
95-th percentile1770915.2
Maximum4342325
Range4341242
Interquartile range (IQR)571284.25

Descriptive statistics

Standard deviation494760.36
Coefficient of variation (CV)0.55273505
Kurtosis5.6473697
Mean895113.05
Median Absolute Deviation (MAD)285531
Skewness1.6201392
Sum7.608461 × 109
Variance2.4478782 × 1011
MonotonicityNot monotonic
2024-05-04T01:22:00.744756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
631875 2
 
< 0.1%
1044892 2
 
< 0.1%
655540 2
 
< 0.1%
1009325 2
 
< 0.1%
671271 2
 
< 0.1%
1123622 2
 
< 0.1%
572643 2
 
< 0.1%
510517 2
 
< 0.1%
1219496 2
 
< 0.1%
933339 2
 
< 0.1%
Other values (8463) 8480
99.8%
ValueCountFrequency (%)
1083 1
< 0.1%
1253 1
< 0.1%
1286 1
< 0.1%
1302 1
< 0.1%
1310 1
< 0.1%
1343 1
< 0.1%
1348 1
< 0.1%
1361 1
< 0.1%
1365 1
< 0.1%
1368 1
< 0.1%
ValueCountFrequency (%)
4342325 1
< 0.1%
4310803 1
< 0.1%
4257668 1
< 0.1%
4242487 1
< 0.1%
4233286 1
< 0.1%
4224984 1
< 0.1%
4159348 1
< 0.1%
4131166 1
< 0.1%
4054925 1
< 0.1%
4038667 1
< 0.1%
Distinct8466
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean810805.55
Minimum1018
Maximum2873757
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.8 KiB
2024-05-04T01:22:01.036168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1018
5-th percentile235596.95
Q1510029
median744489
Q31026905.5
95-th percentile1659358.8
Maximum2873757
Range2872739
Interquartile range (IQR)516876.5

Descriptive statistics

Standard deviation428886.76
Coefficient of variation (CV)0.52896376
Kurtosis1.912777
Mean810805.55
Median Absolute Deviation (MAD)256833.5
Skewness1.1135539
Sum6.8918472 × 109
Variance1.8394385 × 1011
MonotonicityNot monotonic
2024-05-04T01:22:01.319109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
861837 2
 
< 0.1%
891450 2
 
< 0.1%
486833 2
 
< 0.1%
854714 2
 
< 0.1%
466299 2
 
< 0.1%
664727 2
 
< 0.1%
461995 2
 
< 0.1%
434692 2
 
< 0.1%
719341 2
 
< 0.1%
1003521 2
 
< 0.1%
Other values (8456) 8480
99.8%
ValueCountFrequency (%)
1018 1
< 0.1%
1185 1
< 0.1%
1224 1
< 0.1%
1237 1
< 0.1%
1277 1
< 0.1%
1284 1
< 0.1%
1287 1
< 0.1%
1292 1
< 0.1%
1340 1
< 0.1%
1376 1
< 0.1%
ValueCountFrequency (%)
2873757 1
< 0.1%
2792792 1
< 0.1%
2781504 1
< 0.1%
2724941 1
< 0.1%
2698283 1
< 0.1%
2683824 1
< 0.1%
2678730 1
< 0.1%
2673490 1
< 0.1%
2670517 1
< 0.1%
2658919 1
< 0.1%
Distinct8482
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1234970.4
Minimum1736
Maximum4649393
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.8 KiB
2024-05-04T01:22:01.615482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1736
5-th percentile348969.75
Q1774357.5
median1121723.5
Q31540121.2
95-th percentile2600567
Maximum4649393
Range4647657
Interquartile range (IQR)765763.75

Descriptive statistics

Standard deviation673379.98
Coefficient of variation (CV)0.54526002
Kurtosis2.4479451
Mean1234970.4
Median Absolute Deviation (MAD)373830
Skewness1.2524017
Sum1.0497248 × 1010
Variance4.534406 × 1011
MonotonicityNot monotonic
2024-05-04T01:22:01.901068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1595062 2
 
< 0.1%
1149074 2
 
< 0.1%
1241793 2
 
< 0.1%
1062596 2
 
< 0.1%
620658 2
 
< 0.1%
1571665 2
 
< 0.1%
1036804 2
 
< 0.1%
1324034 2
 
< 0.1%
695052 2
 
< 0.1%
1088371 2
 
< 0.1%
Other values (8472) 8480
99.8%
ValueCountFrequency (%)
1736 1
< 0.1%
1860 1
< 0.1%
1867 1
< 0.1%
1882 1
< 0.1%
1927 1
< 0.1%
1935 1
< 0.1%
1976 1
< 0.1%
2014 1
< 0.1%
2024 1
< 0.1%
2058 1
< 0.1%
ValueCountFrequency (%)
4649393 1
< 0.1%
4554969 1
< 0.1%
4545615 1
< 0.1%
4535100 1
< 0.1%
4504821 1
< 0.1%
4486166 1
< 0.1%
4470186 1
< 0.1%
4453762 1
< 0.1%
4437185 1
< 0.1%
4432696 1
< 0.1%
Distinct8484
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1435077.6
Minimum1481
Maximum5805879
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.8 KiB
2024-05-04T01:22:02.218278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1481
5-th percentile372434.8
Q1910851.75
median1357904.5
Q31850695.8
95-th percentile2833021.6
Maximum5805879
Range5804398
Interquartile range (IQR)939844

Descriptive statistics

Standard deviation744341.75
Coefficient of variation (CV)0.51867702
Kurtosis1.468342
Mean1435077.6
Median Absolute Deviation (MAD)466565
Skewness0.88257678
Sum1.2198159 × 1010
Variance5.5404464 × 1011
MonotonicityNot monotonic
2024-05-04T01:22:02.646471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
797075 2
 
< 0.1%
1476106 2
 
< 0.1%
1073364 2
 
< 0.1%
538994 2
 
< 0.1%
1555217 2
 
< 0.1%
1862249 2
 
< 0.1%
1568388 2
 
< 0.1%
1192011 2
 
< 0.1%
1400096 2
 
< 0.1%
2204199 2
 
< 0.1%
Other values (8474) 8480
99.8%
ValueCountFrequency (%)
1481 1
< 0.1%
1673 1
< 0.1%
1724 1
< 0.1%
1740 1
< 0.1%
1763 1
< 0.1%
1771 1
< 0.1%
1798 1
< 0.1%
1835 1
< 0.1%
1858 1
< 0.1%
1867 1
< 0.1%
ValueCountFrequency (%)
5805879 1
< 0.1%
4925991 1
< 0.1%
4920423 1
< 0.1%
4908598 1
< 0.1%
4880874 1
< 0.1%
4834501 1
< 0.1%
4814547 1
< 0.1%
4733435 1
< 0.1%
4733136 1
< 0.1%
4728711 1
< 0.1%
Distinct8482
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1150586.8
Minimum1506
Maximum4516703
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.8 KiB
2024-05-04T01:22:03.070032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1506
5-th percentile341965.85
Q1724875.5
median1100808
Q31450659.8
95-th percentile2265390
Maximum4516703
Range4515197
Interquartile range (IQR)725784.25

Descriptive statistics

Standard deviation604533.98
Coefficient of variation (CV)0.52541361
Kurtosis2.919618
Mean1150586.8
Median Absolute Deviation (MAD)365584.5
Skewness1.1912922
Sum9.779988 × 109
Variance3.6546133 × 1011
MonotonicityNot monotonic
2024-05-04T01:22:03.500611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1048144 2
 
< 0.1%
782428 2
 
< 0.1%
674930 2
 
< 0.1%
1169417 2
 
< 0.1%
1585291 2
 
< 0.1%
604470 2
 
< 0.1%
718018 2
 
< 0.1%
1318864 2
 
< 0.1%
576090 2
 
< 0.1%
691949 2
 
< 0.1%
Other values (8472) 8480
99.8%
ValueCountFrequency (%)
1506 1
< 0.1%
1687 1
< 0.1%
1736 1
< 0.1%
1783 1
< 0.1%
1785 1
< 0.1%
1786 1
< 0.1%
1884 1
< 0.1%
1897 1
< 0.1%
1913 1
< 0.1%
1933 1
< 0.1%
ValueCountFrequency (%)
4516703 1
< 0.1%
4501928 1
< 0.1%
4495280 1
< 0.1%
4490331 1
< 0.1%
4476320 1
< 0.1%
4462581 1
< 0.1%
4447164 1
< 0.1%
4437104 1
< 0.1%
4435326 1
< 0.1%
4417282 1
< 0.1%
Distinct8466
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean674640.37
Minimum984
Maximum3903402
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.8 KiB
2024-05-04T01:22:03.953495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum984
5-th percentile185151.25
Q1396308.75
median613474
Q3847750.25
95-th percentile1373872.1
Maximum3903402
Range3902418
Interquartile range (IQR)451441.5

Descriptive statistics

Standard deviation409932.77
Coefficient of variation (CV)0.60763154
Kurtosis9.1861698
Mean674640.37
Median Absolute Deviation (MAD)223860.5
Skewness2.1062721
Sum5.7344432 × 109
Variance1.6804487 × 1011
MonotonicityNot monotonic
2024-05-04T01:22:04.404263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
467194 2
 
< 0.1%
209112 2
 
< 0.1%
791515 2
 
< 0.1%
754508 2
 
< 0.1%
956851 2
 
< 0.1%
389556 2
 
< 0.1%
749378 2
 
< 0.1%
876896 2
 
< 0.1%
846205 2
 
< 0.1%
848554 2
 
< 0.1%
Other values (8456) 8480
99.8%
ValueCountFrequency (%)
984 1
< 0.1%
1049 1
< 0.1%
1087 1
< 0.1%
1092 1
< 0.1%
1100 1
< 0.1%
1118 1
< 0.1%
1178 1
< 0.1%
1204 1
< 0.1%
1214 1
< 0.1%
1218 1
< 0.1%
ValueCountFrequency (%)
3903402 1
< 0.1%
3879975 1
< 0.1%
3842851 1
< 0.1%
3831059 1
< 0.1%
3827759 1
< 0.1%
3762986 1
< 0.1%
3753295 1
< 0.1%
3735061 1
< 0.1%
3707748 1
< 0.1%
3700201 1
< 0.1%
Distinct8462
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean673874.03
Minimum989
Maximum4017954
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.8 KiB
2024-05-04T01:22:04.844093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum989
5-th percentile186301.9
Q1394443.25
median609305
Q3848601.25
95-th percentile1403874.5
Maximum4017954
Range4016965
Interquartile range (IQR)454158

Descriptive statistics

Standard deviation417230.62
Coefficient of variation (CV)0.61915224
Kurtosis9.8992465
Mean673874.03
Median Absolute Deviation (MAD)224121
Skewness2.210222
Sum5.7279293 × 109
Variance1.7408139 × 1011
MonotonicityNot monotonic
2024-05-04T01:22:05.293141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
756463 2
 
< 0.1%
609305 2
 
< 0.1%
628714 2
 
< 0.1%
851586 2
 
< 0.1%
467006 2
 
< 0.1%
767553 2
 
< 0.1%
274257 2
 
< 0.1%
282819 2
 
< 0.1%
602904 2
 
< 0.1%
450650 2
 
< 0.1%
Other values (8452) 8480
99.8%
ValueCountFrequency (%)
989 1
< 0.1%
1050 1
< 0.1%
1084 1
< 0.1%
1093 1
< 0.1%
1094 1
< 0.1%
1111 1
< 0.1%
1159 1
< 0.1%
1166 1
< 0.1%
1167 1
< 0.1%
1176 1
< 0.1%
ValueCountFrequency (%)
4017954 1
< 0.1%
3963992 1
< 0.1%
3925548 1
< 0.1%
3915315 1
< 0.1%
3848278 1
< 0.1%
3788026 1
< 0.1%
3751967 1
< 0.1%
3733906 1
< 0.1%
3713952 1
< 0.1%
3712673 1
< 0.1%
Distinct8473
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean922273.75
Minimum1265
Maximum4599656
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.8 KiB
2024-05-04T01:22:05.723355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1265
5-th percentile250529.75
Q1555636.75
median860303.5
Q31159590.8
95-th percentile1898769.5
Maximum4599656
Range4598391
Interquartile range (IQR)603954

Descriptive statistics

Standard deviation521480.32
Coefficient of variation (CV)0.56542899
Kurtosis5.3677599
Mean922273.75
Median Absolute Deviation (MAD)303350
Skewness1.5621021
Sum7.8393269 × 109
Variance2.7194172 × 1011
MonotonicityNot monotonic
2024-05-04T01:22:06.154101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1193764 2
 
< 0.1%
589362 2
 
< 0.1%
148835 2
 
< 0.1%
384314 2
 
< 0.1%
558561 2
 
< 0.1%
500817 2
 
< 0.1%
806235 2
 
< 0.1%
1055161 2
 
< 0.1%
919743 2
 
< 0.1%
979200 2
 
< 0.1%
Other values (8463) 8480
99.8%
ValueCountFrequency (%)
1265 1
< 0.1%
1362 1
< 0.1%
1366 1
< 0.1%
1373 1
< 0.1%
1386 1
< 0.1%
1390 1
< 0.1%
1399 1
< 0.1%
1408 1
< 0.1%
1421 1
< 0.1%
1456 1
< 0.1%
ValueCountFrequency (%)
4599656 1
< 0.1%
4490298 1
< 0.1%
4488578 1
< 0.1%
4441462 1
< 0.1%
4435166 1
< 0.1%
4310476 1
< 0.1%
4302964 1
< 0.1%
4216925 1
< 0.1%
4078360 1
< 0.1%
4074258 1
< 0.1%
Distinct8472
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean709708.7
Minimum845
Maximum2502256
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.8 KiB
2024-05-04T01:22:06.511464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum845
5-th percentile190515.8
Q1442700
median670801.5
Q3914121.5
95-th percentile1399330.2
Maximum2502256
Range2501411
Interquartile range (IQR)471421.5

Descriptive statistics

Standard deviation370707.94
Coefficient of variation (CV)0.52233817
Kurtosis1.6127577
Mean709708.7
Median Absolute Deviation (MAD)233897.5
Skewness0.94767105
Sum6.032524 × 109
Variance1.3742438 × 1011
MonotonicityNot monotonic
2024-05-04T01:22:06.813102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
620948 2
 
< 0.1%
580841 2
 
< 0.1%
398072 2
 
< 0.1%
694725 2
 
< 0.1%
751370 2
 
< 0.1%
1049345 2
 
< 0.1%
856866 2
 
< 0.1%
844958 2
 
< 0.1%
599912 2
 
< 0.1%
1021924 2
 
< 0.1%
Other values (8462) 8480
99.8%
ValueCountFrequency (%)
845 1
< 0.1%
922 1
< 0.1%
924 1
< 0.1%
932 1
< 0.1%
944 1
< 0.1%
945 1
< 0.1%
948 1
< 0.1%
964 1
< 0.1%
985 1
< 0.1%
1007 1
< 0.1%
ValueCountFrequency (%)
2502256 1
< 0.1%
2465904 1
< 0.1%
2431419 1
< 0.1%
2429553 1
< 0.1%
2423213 1
< 0.1%
2405443 1
< 0.1%
2384036 1
< 0.1%
2380093 1
< 0.1%
2361957 1
< 0.1%
2356653 1
< 0.1%
Distinct8469
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean797579.27
Minimum999
Maximum3582085
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.8 KiB
2024-05-04T01:22:07.221244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum999
5-th percentile229978.9
Q1497361
median758507.5
Q31006762
95-th percentile1576496.5
Maximum3582085
Range3581086
Interquartile range (IQR)509401

Descriptive statistics

Standard deviation427978.18
Coefficient of variation (CV)0.53659642
Kurtosis3.6450727
Mean797579.27
Median Absolute Deviation (MAD)255517
Skewness1.3034034
Sum6.7794238 × 109
Variance1.8316533 × 1011
MonotonicityNot monotonic
2024-05-04T01:22:07.667551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
772515 2
 
< 0.1%
749791 2
 
< 0.1%
1074576 2
 
< 0.1%
497649 2
 
< 0.1%
830433 2
 
< 0.1%
882195 2
 
< 0.1%
861185 2
 
< 0.1%
486135 2
 
< 0.1%
1020675 2
 
< 0.1%
848697 2
 
< 0.1%
Other values (8459) 8480
99.8%
ValueCountFrequency (%)
999 1
< 0.1%
1109 1
< 0.1%
1126 1
< 0.1%
1139 1
< 0.1%
1169 1
< 0.1%
1174 1
< 0.1%
1175 1
< 0.1%
1206 1
< 0.1%
1218 1
< 0.1%
1224 1
< 0.1%
ValueCountFrequency (%)
3582085 1
< 0.1%
3575130 1
< 0.1%
3490431 1
< 0.1%
3476000 1
< 0.1%
3445066 1
< 0.1%
3385284 1
< 0.1%
3363289 1
< 0.1%
3310751 1
< 0.1%
3295004 1
< 0.1%
3236020 1
< 0.1%
Distinct8475
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean799043.31
Minimum1011
Maximum3692742
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.8 KiB
2024-05-04T01:22:08.099527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1011
5-th percentile229316.75
Q1495965.75
median759383
Q31006711
95-th percentile1577447.5
Maximum3692742
Range3691731
Interquartile range (IQR)510745.25

Descriptive statistics

Standard deviation432651.51
Coefficient of variation (CV)0.5414619
Kurtosis4.1000147
Mean799043.31
Median Absolute Deviation (MAD)257360
Skewness1.3721786
Sum6.7918681 × 109
Variance1.8718733 × 1011
MonotonicityNot monotonic
2024-05-04T01:22:08.546853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
327285 2
 
< 0.1%
496450 2
 
< 0.1%
415464 2
 
< 0.1%
475037 2
 
< 0.1%
1036739 2
 
< 0.1%
276512 2
 
< 0.1%
893779 2
 
< 0.1%
526436 2
 
< 0.1%
548591 2
 
< 0.1%
410201 2
 
< 0.1%
Other values (8465) 8480
99.8%
ValueCountFrequency (%)
1011 1
< 0.1%
1126 1
< 0.1%
1155 2
< 0.1%
1161 1
< 0.1%
1196 1
< 0.1%
1212 1
< 0.1%
1216 1
< 0.1%
1230 1
< 0.1%
1246 1
< 0.1%
1281 1
< 0.1%
ValueCountFrequency (%)
3692742 1
< 0.1%
3653304 1
< 0.1%
3642168 1
< 0.1%
3506880 1
< 0.1%
3486353 1
< 0.1%
3467993 1
< 0.1%
3466378 1
< 0.1%
3459163 1
< 0.1%
3452874 1
< 0.1%
3450045 1
< 0.1%
Distinct8465
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean799669.97
Minimum1020
Maximum3673039
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.8 KiB
2024-05-04T01:22:09.171345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1020
5-th percentile229256.7
Q1495216
median759983
Q31007126
95-th percentile1581724.8
Maximum3673039
Range3672019
Interquartile range (IQR)511910

Descriptive statistics

Standard deviation433087.49
Coefficient of variation (CV)0.54158279
Kurtosis4.0767522
Mean799669.97
Median Absolute Deviation (MAD)257646
Skewness1.3718443
Sum6.7971947 × 109
Variance1.8756477 × 1011
MonotonicityNot monotonic
2024-05-04T01:22:09.614970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
847031 2
 
< 0.1%
975386 2
 
< 0.1%
899928 2
 
< 0.1%
145719 2
 
< 0.1%
870061 2
 
< 0.1%
448907 2
 
< 0.1%
1209745 2
 
< 0.1%
938352 2
 
< 0.1%
1004314 2
 
< 0.1%
1469677 2
 
< 0.1%
Other values (8455) 8480
99.8%
ValueCountFrequency (%)
1020 1
< 0.1%
1135 1
< 0.1%
1153 1
< 0.1%
1154 1
< 0.1%
1163 1
< 0.1%
1183 1
< 0.1%
1218 1
< 0.1%
1220 1
< 0.1%
1234 1
< 0.1%
1248 1
< 0.1%
ValueCountFrequency (%)
3673039 1
< 0.1%
3599660 1
< 0.1%
3552473 1
< 0.1%
3518015 1
< 0.1%
3514643 1
< 0.1%
3494292 1
< 0.1%
3460950 1
< 0.1%
3460159 1
< 0.1%
3460072 1
< 0.1%
3459531 1
< 0.1%
Distinct8470
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean798301.89
Minimum993
Maximum3742539
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.8 KiB
2024-05-04T01:22:10.030845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum993
5-th percentile229064.7
Q1494634
median757959
Q31006057.2
95-th percentile1577279.8
Maximum3742539
Range3741546
Interquartile range (IQR)511423.25

Descriptive statistics

Standard deviation432810.02
Coefficient of variation (CV)0.54216335
Kurtosis4.1411313
Mean798301.89
Median Absolute Deviation (MAD)256860
Skewness1.3814692
Sum6.785566 × 109
Variance1.8732452 × 1011
MonotonicityNot monotonic
2024-05-04T01:22:10.469346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
317932 2
 
< 0.1%
465039 2
 
< 0.1%
975874 2
 
< 0.1%
845818 2
 
< 0.1%
890919 2
 
< 0.1%
756969 2
 
< 0.1%
379536 2
 
< 0.1%
787118 2
 
< 0.1%
668393 2
 
< 0.1%
974465 2
 
< 0.1%
Other values (8460) 8480
99.8%
ValueCountFrequency (%)
993 1
< 0.1%
1128 1
< 0.1%
1131 1
< 0.1%
1145 1
< 0.1%
1164 1
< 0.1%
1166 1
< 0.1%
1194 1
< 0.1%
1200 1
< 0.1%
1234 1
< 0.1%
1239 1
< 0.1%
ValueCountFrequency (%)
3742539 1
< 0.1%
3619991 1
< 0.1%
3590396 1
< 0.1%
3522812 1
< 0.1%
3492389 1
< 0.1%
3479271 1
< 0.1%
3463348 1
< 0.1%
3463011 1
< 0.1%
3457874 1
< 0.1%
3430195 1
< 0.1%
Distinct8467
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean796035.25
Minimum1004
Maximum3692806
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.8 KiB
2024-05-04T01:22:10.872128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1004
5-th percentile229038.95
Q1492582.5
median753660
Q31004314.2
95-th percentile1583686.6
Maximum3692806
Range3691802
Interquartile range (IQR)511731.75

Descriptive statistics

Standard deviation431179.83
Coefficient of variation (CV)0.54165922
Kurtosis3.9536963
Mean796035.25
Median Absolute Deviation (MAD)257002
Skewness1.3602622
Sum6.7662996 × 109
Variance1.8591605 × 1011
MonotonicityNot monotonic
2024-05-04T01:22:11.322729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
669823 2
 
< 0.1%
854901 2
 
< 0.1%
753045 2
 
< 0.1%
508721 2
 
< 0.1%
901160 2
 
< 0.1%
1005948 2
 
< 0.1%
898411 2
 
< 0.1%
1377393 2
 
< 0.1%
415713 2
 
< 0.1%
935190 2
 
< 0.1%
Other values (8457) 8480
99.8%
ValueCountFrequency (%)
1004 1
< 0.1%
1122 1
< 0.1%
1139 1
< 0.1%
1160 1
< 0.1%
1170 1
< 0.1%
1172 1
< 0.1%
1193 1
< 0.1%
1210 1
< 0.1%
1229 1
< 0.1%
1233 1
< 0.1%
ValueCountFrequency (%)
3692806 1
< 0.1%
3655143 1
< 0.1%
3501075 1
< 0.1%
3474573 1
< 0.1%
3469072 1
< 0.1%
3409158 1
< 0.1%
3398166 1
< 0.1%
3377325 1
< 0.1%
3358298 1
< 0.1%
3342526 1
< 0.1%
Distinct8463
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean787416.58
Minimum963
Maximum3140105
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.8 KiB
2024-05-04T01:22:11.735655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum963
5-th percentile220327.7
Q1491782.5
median742824
Q31004612.8
95-th percentile1570982.9
Maximum3140105
Range3139142
Interquartile range (IQR)512830.25

Descriptive statistics

Standard deviation413843.65
Coefficient of variation (CV)0.52557142
Kurtosis2.1158701
Mean787416.58
Median Absolute Deviation (MAD)255227
Skewness1.0594469
Sum6.6930409 × 109
Variance1.7126657 × 1011
MonotonicityNot monotonic
2024-05-04T01:22:12.174261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
554820 2
 
< 0.1%
821037 2
 
< 0.1%
630674 2
 
< 0.1%
1378478 2
 
< 0.1%
827072 2
 
< 0.1%
753682 2
 
< 0.1%
895735 2
 
< 0.1%
483678 2
 
< 0.1%
1041164 2
 
< 0.1%
876250 2
 
< 0.1%
Other values (8453) 8480
99.8%
ValueCountFrequency (%)
963 1
< 0.1%
1084 1
< 0.1%
1097 1
< 0.1%
1121 1
< 0.1%
1134 1
< 0.1%
1136 1
< 0.1%
1137 1
< 0.1%
1143 1
< 0.1%
1159 1
< 0.1%
1205 1
< 0.1%
ValueCountFrequency (%)
3140105 1
< 0.1%
3065597 1
< 0.1%
2939255 1
< 0.1%
2878850 1
< 0.1%
2868166 1
< 0.1%
2809608 1
< 0.1%
2809542 1
< 0.1%
2798821 1
< 0.1%
2794220 1
< 0.1%
2784917 1
< 0.1%
Distinct8467
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean788114.98
Minimum1080
Maximum2904142
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.8 KiB
2024-05-04T01:22:12.477942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1080
5-th percentile216377.5
Q1496160.25
median744007.5
Q31012177.2
95-th percentile1564715.5
Maximum2904142
Range2903062
Interquartile range (IQR)516017

Descriptive statistics

Standard deviation409125.18
Coefficient of variation (CV)0.51911864
Kurtosis1.6342017
Mean788114.98
Median Absolute Deviation (MAD)256507.5
Skewness0.95619863
Sum6.6989773 × 109
Variance1.6738341 × 1011
MonotonicityNot monotonic
2024-05-04T01:22:12.786996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
382038 2
 
< 0.1%
844886 2
 
< 0.1%
755444 2
 
< 0.1%
806714 2
 
< 0.1%
679416 2
 
< 0.1%
1041381 2
 
< 0.1%
882354 2
 
< 0.1%
950990 2
 
< 0.1%
670473 2
 
< 0.1%
1091214 2
 
< 0.1%
Other values (8457) 8480
99.8%
ValueCountFrequency (%)
1080 1
< 0.1%
1150 1
< 0.1%
1159 1
< 0.1%
1165 1
< 0.1%
1167 1
< 0.1%
1176 1
< 0.1%
1177 1
< 0.1%
1185 1
< 0.1%
1188 1
< 0.1%
1194 1
< 0.1%
ValueCountFrequency (%)
2904142 1
< 0.1%
2756414 1
< 0.1%
2727095 1
< 0.1%
2699005 1
< 0.1%
2674120 1
< 0.1%
2672064 1
< 0.1%
2663237 1
< 0.1%
2660290 1
< 0.1%
2643906 1
< 0.1%
2600704 1
< 0.1%

Sample

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84982023411500593화곡8동80380673690129434793812122951164893138007614124501131201173715222512141632878871953886693131104710842821148631113555611292431130520112906011774511187606
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