Overview

Dataset statistics

Number of variables27
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 MiB
Average record size in memory248.0 B

Variable types

Numeric24
Categorical2
Text1

Dataset

Description기준_년분기_코드,상권_구분_코드,상권_구분_코드_명,상권_코드,상권_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-15568/S/1/datasetView.do

Reproduction

Analysis started2024-05-03 23:36:23.872902
Analysis finished2024-05-03 23:36:25.250725
Duration1.38 second
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%
Mean20212.347
Minimum20191
Maximum20234
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T23:36:25.480476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20191
5-th percentile20192
Q120202
median20212
Q320223
95-th percentile20233
Maximum20234
Range43
Interquartile range (IQR)21

Descriptive statistics

Standard deviation14.057456
Coefficient of variation (CV)0.00069548855
Kurtosis-1.2628896
Mean20212.347
Median Absolute Deviation (MAD)11
Skewness0.016922853
Sum2.0212347 × 108
Variance197.61206
MonotonicityNot monotonic
2024-05-03T23:36:25.850737image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
20212 537
 
5.4%
20203 532
 
5.3%
20214 530
 
5.3%
20194 519
 
5.2%
20204 517
 
5.2%
20211 506
 
5.1%
20193 503
 
5.0%
20221 500
 
5.0%
20231 498
 
5.0%
20222 496
 
5.0%
Other values (10) 4862
48.6%
ValueCountFrequency (%)
20191 475
4.8%
20192 490
4.9%
20193 503
5.0%
20194 519
5.2%
20201 490
4.9%
20202 496
5.0%
20203 532
5.3%
20204 517
5.2%
20211 506
5.1%
20212 537
5.4%
ValueCountFrequency (%)
20234 478
4.8%
20233 462
4.6%
20232 496
5.0%
20231 498
5.0%
20224 496
5.0%
20223 487
4.9%
20222 496
5.0%
20221 500
5.0%
20214 530
5.3%
20213 492
4.9%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
A
6543 
R
1886 
D
1540 
U
 
31

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowA
2nd rowD
3rd rowA
4th rowA
5th rowA

Common Values

ValueCountFrequency (%)
A 6543
65.4%
R 1886
 
18.9%
D 1540
 
15.4%
U 31
 
0.3%

Length

2024-05-03T23:36:26.235399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:36:26.560652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a 6543
65.4%
r 1886
 
18.9%
d 1540
 
15.4%
u 31
 
0.3%
Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
골목상권
6543 
전통시장
1886 
발달상권
1540 
관광특구
 
31

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row골목상권
2nd row발달상권
3rd row골목상권
4th row골목상권
5th row골목상권

Common Values

ValueCountFrequency (%)
골목상권 6543
65.4%
전통시장 1886
 
18.9%
발달상권 1540
 
15.4%
관광특구 31
 
0.3%

Length

2024-05-03T23:36:26.904630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T23:36:27.210955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
골목상권 6543
65.4%
전통시장 1886
 
18.9%
발달상권 1540
 
15.4%
관광특구 31
 
0.3%

상권_코드
Real number (ℝ)

Distinct1650
Distinct (%)16.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3115386.1
Minimum3001491
Maximum3130327
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T23:36:27.591565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3001491
5-th percentile3110079
Q13110416
median3110824.5
Q33120151
95-th percentile3130247
Maximum3130327
Range128836
Interquartile range (IQR)9735

Descriptive statistics

Standard deviation10015.264
Coefficient of variation (CV)0.0032147746
Kurtosis49.819605
Mean3115386.1
Median Absolute Deviation (MAD)564.5
Skewness-4.0112618
Sum3.1153861 × 1010
Variance1.0030552 × 108
MonotonicityNot monotonic
2024-05-03T23:36:28.058044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3110422 13
 
0.1%
3120239 12
 
0.1%
3110252 12
 
0.1%
3110388 11
 
0.1%
3111033 11
 
0.1%
3110452 11
 
0.1%
3120032 11
 
0.1%
3130155 11
 
0.1%
3110975 11
 
0.1%
3110135 11
 
0.1%
Other values (1640) 9886
98.9%
ValueCountFrequency (%)
3001491 2
 
< 0.1%
3001492 6
0.1%
3001493 5
0.1%
3001494 4
< 0.1%
3001495 6
0.1%
3001496 8
0.1%
3110001 5
0.1%
3110002 6
0.1%
3110003 7
0.1%
3110004 4
< 0.1%
ValueCountFrequency (%)
3130327 9
0.1%
3130326 5
0.1%
3130325 7
0.1%
3130324 7
0.1%
3130323 8
0.1%
3130322 4
< 0.1%
3130321 4
< 0.1%
3130320 7
0.1%
3130319 7
0.1%
3130318 8
0.1%
Distinct1650
Distinct (%)16.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-03T23:36:28.630854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length7.5389
Min length2

Characters and Unicode

Total characters75389
Distinct characters447
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)0.1%

Sample

1st row동의초등학교
2nd row선정릉역
3rd row한양대역 4번
4th row금천철쭉어린이공원(금하마을)
5th row투구봉어린이공원
ValueCountFrequency (%)
1번 494
 
3.8%
2번 357
 
2.7%
3번 343
 
2.6%
4번 301
 
2.3%
5번 166
 
1.3%
6번 112
 
0.9%
7번 95
 
0.7%
8번 94
 
0.7%
골목형상점가 85
 
0.7%
연신내역 40
 
0.3%
Other values (1517) 10971
84.0%
2024-05-03T23:36:29.711165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3383
 
4.5%
3058
 
4.1%
2263
 
3.0%
2249
 
3.0%
2241
 
3.0%
2139
 
2.8%
1793
 
2.4%
1666
 
2.2%
) 1441
 
1.9%
( 1441
 
1.9%
Other values (437) 53715
71.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 65543
86.9%
Decimal Number 3323
 
4.4%
Space Separator 3058
 
4.1%
Close Punctuation 1441
 
1.9%
Open Punctuation 1441
 
1.9%
Uppercase Letter 314
 
0.4%
Other Punctuation 196
 
0.3%
Lowercase Letter 51
 
0.1%
Connector Punctuation 22
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3383
 
5.2%
2263
 
3.5%
2249
 
3.4%
2241
 
3.4%
2139
 
3.3%
1793
 
2.7%
1666
 
2.5%
1254
 
1.9%
1198
 
1.8%
1164
 
1.8%
Other values (399) 46193
70.5%
Uppercase Letter
ValueCountFrequency (%)
K 57
18.2%
B 52
16.6%
T 37
11.8%
C 25
8.0%
D 23
7.3%
G 23
7.3%
S 20
 
6.4%
I 18
 
5.7%
A 15
 
4.8%
M 13
 
4.1%
Other values (4) 31
9.9%
Decimal Number
ValueCountFrequency (%)
1 947
28.5%
2 619
18.6%
3 525
15.8%
4 447
13.5%
5 243
 
7.3%
6 162
 
4.9%
8 124
 
3.7%
7 119
 
3.6%
9 88
 
2.6%
0 49
 
1.5%
Other Punctuation
ValueCountFrequency (%)
, 155
79.1%
. 19
 
9.7%
& 10
 
5.1%
! 8
 
4.1%
? 4
 
2.0%
Lowercase Letter
ValueCountFrequency (%)
a 18
35.3%
e 9
17.6%
t 9
17.6%
m 9
17.6%
h 6
 
11.8%
Space Separator
ValueCountFrequency (%)
3058
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1441
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1441
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 22
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 65543
86.9%
Common 9481
 
12.6%
Latin 365
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3383
 
5.2%
2263
 
3.5%
2249
 
3.4%
2241
 
3.4%
2139
 
3.3%
1793
 
2.7%
1666
 
2.5%
1254
 
1.9%
1198
 
1.8%
1164
 
1.8%
Other values (399) 46193
70.5%
Common
ValueCountFrequency (%)
3058
32.3%
) 1441
15.2%
( 1441
15.2%
1 947
 
10.0%
2 619
 
6.5%
3 525
 
5.5%
4 447
 
4.7%
5 243
 
2.6%
6 162
 
1.7%
, 155
 
1.6%
Other values (9) 443
 
4.7%
Latin
ValueCountFrequency (%)
K 57
15.6%
B 52
14.2%
T 37
10.1%
C 25
 
6.8%
D 23
 
6.3%
G 23
 
6.3%
S 20
 
5.5%
a 18
 
4.9%
I 18
 
4.9%
A 15
 
4.1%
Other values (9) 77
21.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 65543
86.9%
ASCII 9846
 
13.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
3383
 
5.2%
2263
 
3.5%
2249
 
3.4%
2241
 
3.4%
2139
 
3.3%
1793
 
2.7%
1666
 
2.5%
1254
 
1.9%
1198
 
1.8%
1164
 
1.8%
Other values (399) 46193
70.5%
ASCII
ValueCountFrequency (%)
3058
31.1%
) 1441
14.6%
( 1441
14.6%
1 947
 
9.6%
2 619
 
6.3%
3 525
 
5.3%
4 447
 
4.5%
5 243
 
2.5%
6 162
 
1.6%
, 155
 
1.6%
Other values (28) 808
 
8.2%

총_유동인구_수
Real number (ℝ)

Distinct9963
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean847818.08
Minimum13
Maximum9202047
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T23:36:30.141949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile42671.4
Q1238630.5
median597443
Q31173509.5
95-th percentile2397281.4
Maximum9202047
Range9202034
Interquartile range (IQR)934879

Descriptive statistics

Standard deviation889119.2
Coefficient of variation (CV)1.0487146
Kurtosis11.889805
Mean847818.08
Median Absolute Deviation (MAD)421914
Skewness2.6297569
Sum8.4781808 × 109
Variance7.9053294 × 1011
MonotonicityNot monotonic
2024-05-03T23:36:30.732068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
51745 2
 
< 0.1%
55859 2
 
< 0.1%
476368 2
 
< 0.1%
162161 2
 
< 0.1%
29539 2
 
< 0.1%
406342 2
 
< 0.1%
806727 2
 
< 0.1%
264947 2
 
< 0.1%
42603 2
 
< 0.1%
33189 2
 
< 0.1%
Other values (9953) 9980
99.8%
ValueCountFrequency (%)
13 1
< 0.1%
15 1
< 0.1%
43 1
< 0.1%
670 1
< 0.1%
689 1
< 0.1%
986 1
< 0.1%
1045 1
< 0.1%
1126 1
< 0.1%
1169 1
< 0.1%
1251 1
< 0.1%
ValueCountFrequency (%)
9202047 1
< 0.1%
8816195 1
< 0.1%
8755118 1
< 0.1%
8657826 1
< 0.1%
8404013 1
< 0.1%
8048223 1
< 0.1%
7942915 1
< 0.1%
7823728 1
< 0.1%
7646153 1
< 0.1%
7629595 1
< 0.1%

남성_유동인구_수
Real number (ℝ)

Distinct9940
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean404267.27
Minimum13
Maximum4797974
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T23:36:31.153332image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile20174.15
Q1113496
median283565.5
Q3557398.75
95-th percentile1146522.9
Maximum4797974
Range4797961
Interquartile range (IQR)443902.75

Descriptive statistics

Standard deviation432017.97
Coefficient of variation (CV)1.0686444
Kurtosis14.778528
Mean404267.27
Median Absolute Deviation (MAD)198985
Skewness2.8861515
Sum4.0426727 × 109
Variance1.8663952 × 1011
MonotonicityNot monotonic
2024-05-03T23:36:31.688815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
149997 2
 
< 0.1%
547962 2
 
< 0.1%
25371 2
 
< 0.1%
39985 2
 
< 0.1%
78124 2
 
< 0.1%
460919 2
 
< 0.1%
422063 2
 
< 0.1%
19836 2
 
< 0.1%
233402 2
 
< 0.1%
314259 2
 
< 0.1%
Other values (9930) 9980
99.8%
ValueCountFrequency (%)
13 1
< 0.1%
15 1
< 0.1%
43 1
< 0.1%
386 1
< 0.1%
473 1
< 0.1%
656 1
< 0.1%
680 1
< 0.1%
710 1
< 0.1%
718 1
< 0.1%
745 1
< 0.1%
ValueCountFrequency (%)
4797974 1
< 0.1%
4693188 1
< 0.1%
4539128 1
< 0.1%
4535847 1
< 0.1%
4317213 1
< 0.1%
4294050 1
< 0.1%
4162559 1
< 0.1%
4112687 1
< 0.1%
4012220 1
< 0.1%
4000287 1
< 0.1%

여성_유동인구_수
Real number (ℝ)

Distinct9929
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean443550.84
Minimum0
Maximum4666201
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T23:36:32.164686image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile21928.45
Q1123206
median311935
Q3615897.75
95-th percentile1271108.3
Maximum4666201
Range4666201
Interquartile range (IQR)492691.75

Descriptive statistics

Standard deviation461003.87
Coefficient of variation (CV)1.0393484
Kurtosis10.264995
Mean443550.84
Median Absolute Deviation (MAD)220756
Skewness2.4754618
Sum4.4355084 × 109
Variance2.1252457 × 1011
MonotonicityNot monotonic
2024-05-03T23:36:32.695343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
< 0.1%
16586 2
 
< 0.1%
721014 2
 
< 0.1%
26374 2
 
< 0.1%
47713 2
 
< 0.1%
315616 2
 
< 0.1%
192134 2
 
< 0.1%
1026705 2
 
< 0.1%
59380 2
 
< 0.1%
153970 2
 
< 0.1%
Other values (9919) 9979
99.8%
ValueCountFrequency (%)
0 3
< 0.1%
216 1
 
< 0.1%
286 1
 
< 0.1%
327 1
 
< 0.1%
330 1
 
< 0.1%
416 1
 
< 0.1%
424 1
 
< 0.1%
468 1
 
< 0.1%
512 1
 
< 0.1%
544 1
 
< 0.1%
ValueCountFrequency (%)
4666201 1
< 0.1%
4437907 1
< 0.1%
4036002 1
< 0.1%
4032096 1
< 0.1%
4018222 1
< 0.1%
4012199 1
< 0.1%
3964638 1
< 0.1%
3959274 1
< 0.1%
3942628 1
< 0.1%
3911867 1
< 0.1%
Distinct9743
Distinct (%)97.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean108588.59
Minimum0
Maximum1018837
Zeros8
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T23:36:33.020863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4329.9
Q126126
median73882
Q3153582.25
95-th percentile336326
Maximum1018837
Range1018837
Interquartile range (IQR)127456.25

Descriptive statistics

Standard deviation113626.05
Coefficient of variation (CV)1.0463903
Kurtosis5.8908586
Mean108588.59
Median Absolute Deviation (MAD)54929
Skewness2.0278876
Sum1.0858859 × 109
Variance1.2910879 × 1010
MonotonicityNot monotonic
2024-05-03T23:36:33.375009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8
 
0.1%
102900 3
 
< 0.1%
42448 3
 
< 0.1%
46686 3
 
< 0.1%
18232 3
 
< 0.1%
1080 3
 
< 0.1%
22712 3
 
< 0.1%
25798 3
 
< 0.1%
35371 2
 
< 0.1%
3299 2
 
< 0.1%
Other values (9733) 9967
99.7%
ValueCountFrequency (%)
0 8
0.1%
49 1
 
< 0.1%
105 1
 
< 0.1%
148 1
 
< 0.1%
171 1
 
< 0.1%
206 1
 
< 0.1%
210 1
 
< 0.1%
223 1
 
< 0.1%
229 1
 
< 0.1%
230 1
 
< 0.1%
ValueCountFrequency (%)
1018837 1
< 0.1%
953224 1
< 0.1%
874154 1
< 0.1%
865904 1
< 0.1%
838447 1
< 0.1%
829062 1
< 0.1%
816174 1
< 0.1%
797975 1
< 0.1%
781320 1
< 0.1%
773668 1
< 0.1%
Distinct9786
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean149488.78
Minimum0
Maximum3487417
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T23:36:33.824258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5700.85
Q134493.5
median89390
Q3189320.75
95-th percentile456494.85
Maximum3487417
Range3487417
Interquartile range (IQR)154827.25

Descriptive statistics

Standard deviation213100.2
Coefficient of variation (CV)1.4255264
Kurtosis51.885765
Mean149488.78
Median Absolute Deviation (MAD)65549.5
Skewness5.4718527
Sum1.4948878 × 109
Variance4.5411695 × 1010
MonotonicityNot monotonic
2024-05-03T23:36:34.382043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
< 0.1%
8116 3
 
< 0.1%
5942 3
 
< 0.1%
17188 3
 
< 0.1%
7077 3
 
< 0.1%
7254 3
 
< 0.1%
552 3
 
< 0.1%
6459 3
 
< 0.1%
43676 3
 
< 0.1%
11508 2
 
< 0.1%
Other values (9776) 9970
99.7%
ValueCountFrequency (%)
0 4
< 0.1%
8 1
 
< 0.1%
11 1
 
< 0.1%
15 1
 
< 0.1%
41 1
 
< 0.1%
43 1
 
< 0.1%
57 1
 
< 0.1%
68 1
 
< 0.1%
76 1
 
< 0.1%
115 1
 
< 0.1%
ValueCountFrequency (%)
3487417 1
< 0.1%
3426105 1
< 0.1%
3374807 1
< 0.1%
3296595 1
< 0.1%
3118760 1
< 0.1%
2888946 1
< 0.1%
2819091 1
< 0.1%
2715442 1
< 0.1%
2614156 1
< 0.1%
2506826 1
< 0.1%
Distinct9799
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean147702.43
Minimum0
Maximum2147251
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T23:36:34.765383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6920.15
Q138097.5
median97791
Q3192909.25
95-th percentile451640.6
Maximum2147251
Range2147251
Interquartile range (IQR)154811.75

Descriptive statistics

Standard deviation177239.28
Coefficient of variation (CV)1.1999754
Kurtosis22.240154
Mean147702.43
Median Absolute Deviation (MAD)69562
Skewness3.6313685
Sum1.4770243 × 109
Variance3.1413761 × 1010
MonotonicityNot monotonic
2024-05-03T23:36:35.073119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
< 0.1%
9599 3
 
< 0.1%
36400 3
 
< 0.1%
8409 3
 
< 0.1%
87368 3
 
< 0.1%
19664 3
 
< 0.1%
8028 3
 
< 0.1%
7821 2
 
< 0.1%
2678 2
 
< 0.1%
9903 2
 
< 0.1%
Other values (9789) 9972
99.7%
ValueCountFrequency (%)
0 4
< 0.1%
38 1
 
< 0.1%
44 1
 
< 0.1%
59 1
 
< 0.1%
91 1
 
< 0.1%
100 1
 
< 0.1%
115 1
 
< 0.1%
116 1
 
< 0.1%
144 1
 
< 0.1%
155 1
 
< 0.1%
ValueCountFrequency (%)
2147251 1
< 0.1%
2107474 1
< 0.1%
2024145 1
< 0.1%
2021207 1
< 0.1%
1983085 1
< 0.1%
1943267 1
< 0.1%
1908157 1
< 0.1%
1839034 1
< 0.1%
1793395 1
< 0.1%
1749751 1
< 0.1%
Distinct9798
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean134854.73
Minimum0
Maximum1667878
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T23:36:35.330567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6792.35
Q138577.5
median94221.5
Q3184968
95-th percentile398365.3
Maximum1667878
Range1667878
Interquartile range (IQR)146390.5

Descriptive statistics

Standard deviation146277.65
Coefficient of variation (CV)1.0847054
Kurtosis17.393721
Mean134854.73
Median Absolute Deviation (MAD)66182.5
Skewness3.0898653
Sum1.3485473 × 109
Variance2.1397152 × 1010
MonotonicityNot monotonic
2024-05-03T23:36:35.802510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10952 3
 
< 0.1%
146996 3
 
< 0.1%
43084 3
 
< 0.1%
73367 2
 
< 0.1%
94562 2
 
< 0.1%
56972 2
 
< 0.1%
55038 2
 
< 0.1%
55762 2
 
< 0.1%
124642 2
 
< 0.1%
22282 2
 
< 0.1%
Other values (9788) 9977
99.8%
ValueCountFrequency (%)
0 2
< 0.1%
2 1
< 0.1%
122 1
< 0.1%
154 1
< 0.1%
172 1
< 0.1%
188 1
< 0.1%
205 1
< 0.1%
211 1
< 0.1%
214 1
< 0.1%
329 1
< 0.1%
ValueCountFrequency (%)
1667878 1
< 0.1%
1628002 1
< 0.1%
1618888 1
< 0.1%
1618642 1
< 0.1%
1553032 1
< 0.1%
1539426 1
< 0.1%
1462457 1
< 0.1%
1422009 1
< 0.1%
1412213 1
< 0.1%
1406941 1
< 0.1%
Distinct9800
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123284.45
Minimum0
Maximum1605899
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T23:36:36.223597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6215.9
Q135368.5
median86886.5
Q3174733.5
95-th percentile351299.15
Maximum1605899
Range1605899
Interquartile range (IQR)139365

Descriptive statistics

Standard deviation126204.99
Coefficient of variation (CV)1.0236894
Kurtosis12.467969
Mean123284.45
Median Absolute Deviation (MAD)61429
Skewness2.5096635
Sum1.2328445 × 109
Variance1.5927698 × 1010
MonotonicityNot monotonic
2024-05-03T23:36:36.674005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
43394 3
 
< 0.1%
0 3
 
< 0.1%
8135 3
 
< 0.1%
17720 3
 
< 0.1%
33304 3
 
< 0.1%
10974 3
 
< 0.1%
28439 2
 
< 0.1%
4371 2
 
< 0.1%
59172 2
 
< 0.1%
11074 2
 
< 0.1%
Other values (9790) 9974
99.7%
ValueCountFrequency (%)
0 3
< 0.1%
102 1
 
< 0.1%
131 1
 
< 0.1%
134 1
 
< 0.1%
158 1
 
< 0.1%
177 1
 
< 0.1%
178 1
 
< 0.1%
233 1
 
< 0.1%
368 1
 
< 0.1%
400 1
 
< 0.1%
ValueCountFrequency (%)
1605899 1
< 0.1%
1555937 1
< 0.1%
1488320 1
< 0.1%
1448286 1
< 0.1%
1216256 1
< 0.1%
1172116 1
< 0.1%
1138745 1
< 0.1%
1101145 1
< 0.1%
1075134 1
< 0.1%
1066311 1
< 0.1%
Distinct9853
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean183899.19
Minimum0
Maximum2116044
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T23:36:37.239641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9237.65
Q150605.75
median130581.5
Q3260600
95-th percentile543285.85
Maximum2116044
Range2116044
Interquartile range (IQR)209994.25

Descriptive statistics

Standard deviation185670.57
Coefficient of variation (CV)1.0096323
Kurtosis8.6581903
Mean183899.19
Median Absolute Deviation (MAD)93699
Skewness2.1840972
Sum1.8389919 × 109
Variance3.447356 × 1010
MonotonicityNot monotonic
2024-05-03T23:36:37.659904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
< 0.1%
69908 2
 
< 0.1%
29933 2
 
< 0.1%
11278 2
 
< 0.1%
290871 2
 
< 0.1%
8963 2
 
< 0.1%
32951 2
 
< 0.1%
121735 2
 
< 0.1%
26739 2
 
< 0.1%
203225 2
 
< 0.1%
Other values (9843) 9979
99.8%
ValueCountFrequency (%)
0 3
< 0.1%
143 1
 
< 0.1%
150 1
 
< 0.1%
195 1
 
< 0.1%
209 1
 
< 0.1%
216 1
 
< 0.1%
232 1
 
< 0.1%
246 1
 
< 0.1%
295 1
 
< 0.1%
548 2
< 0.1%
ValueCountFrequency (%)
2116044 1
< 0.1%
2009307 1
< 0.1%
1944675 1
< 0.1%
1840359 1
< 0.1%
1839304 1
< 0.1%
1828820 1
< 0.1%
1374932 1
< 0.1%
1359047 1
< 0.1%
1344415 1
< 0.1%
1281554 1
< 0.1%
Distinct9851
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean203539.38
Minimum0
Maximum1820939
Zeros4
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T23:36:38.069795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile8181
Q150320.5
median136912
Q3288089.5
95-th percentile618591.95
Maximum1820939
Range1820939
Interquartile range (IQR)237769

Descriptive statistics

Standard deviation212069.32
Coefficient of variation (CV)1.0419081
Kurtosis5.4675877
Mean203539.38
Median Absolute Deviation (MAD)103595
Skewness1.9566772
Sum2.0353938 × 109
Variance4.4973396 × 1010
MonotonicityNot monotonic
2024-05-03T23:36:38.514395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
< 0.1%
15247 3
 
< 0.1%
35557 3
 
< 0.1%
104013 2
 
< 0.1%
124202 2
 
< 0.1%
25386 2
 
< 0.1%
27435 2
 
< 0.1%
10882 2
 
< 0.1%
11322 2
 
< 0.1%
18083 2
 
< 0.1%
Other values (9841) 9976
99.8%
ValueCountFrequency (%)
0 4
< 0.1%
4 1
 
< 0.1%
36 1
 
< 0.1%
40 1
 
< 0.1%
109 1
 
< 0.1%
136 1
 
< 0.1%
143 1
 
< 0.1%
148 1
 
< 0.1%
155 1
 
< 0.1%
210 1
 
< 0.1%
ValueCountFrequency (%)
1820939 1
< 0.1%
1690971 1
< 0.1%
1657095 1
< 0.1%
1630090 1
< 0.1%
1593883 1
< 0.1%
1587627 1
< 0.1%
1575126 1
< 0.1%
1559079 1
< 0.1%
1533013 1
< 0.1%
1445789 1
< 0.1%
Distinct9849
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean172574.91
Minimum4
Maximum1714738
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T23:36:38.944625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile8484.45
Q148433
median122396
Q3239357.25
95-th percentile489153.6
Maximum1714738
Range1714734
Interquartile range (IQR)190924.25

Descriptive statistics

Standard deviation177184.37
Coefficient of variation (CV)1.0267099
Kurtosis9.5728848
Mean172574.91
Median Absolute Deviation (MAD)86944
Skewness2.3901771
Sum1.7257491 × 109
Variance3.13943 × 1010
MonotonicityNot monotonic
2024-05-03T23:36:39.384061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10381 3
 
< 0.1%
82413 3
 
< 0.1%
15907 2
 
< 0.1%
7067 2
 
< 0.1%
205798 2
 
< 0.1%
56361 2
 
< 0.1%
41721 2
 
< 0.1%
140259 2
 
< 0.1%
18991 2
 
< 0.1%
55901 2
 
< 0.1%
Other values (9839) 9978
99.8%
ValueCountFrequency (%)
4 1
< 0.1%
9 1
< 0.1%
14 1
< 0.1%
117 1
< 0.1%
182 1
< 0.1%
227 1
< 0.1%
245 1
< 0.1%
256 1
< 0.1%
273 1
< 0.1%
287 1
< 0.1%
ValueCountFrequency (%)
1714738 1
< 0.1%
1653054 1
< 0.1%
1649452 1
< 0.1%
1629895 1
< 0.1%
1556366 1
< 0.1%
1538722 1
< 0.1%
1505994 1
< 0.1%
1502224 1
< 0.1%
1476879 1
< 0.1%
1457293 1
< 0.1%
Distinct9745
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109333.49
Minimum5
Maximum1853219
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T23:36:39.762804image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile5601.75
Q130121.25
median75535.5
Q3145729.25
95-th percentile311564.95
Maximum1853219
Range1853214
Interquartile range (IQR)115608

Descriptive statistics

Standard deviation130963.44
Coefficient of variation (CV)1.1978346
Kurtosis40.133323
Mean109333.49
Median Absolute Deviation (MAD)51886
Skewness4.696549
Sum1.0933349 × 109
Variance1.7151421 × 1010
MonotonicityNot monotonic
2024-05-03T23:36:40.165236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7576 3
 
< 0.1%
3642 3
 
< 0.1%
5980 3
 
< 0.1%
4691 3
 
< 0.1%
65905 3
 
< 0.1%
79598 3
 
< 0.1%
37034 3
 
< 0.1%
123656 3
 
< 0.1%
24242 2
 
< 0.1%
12187 2
 
< 0.1%
Other values (9735) 9972
99.7%
ValueCountFrequency (%)
5 2
< 0.1%
21 1
< 0.1%
92 1
< 0.1%
106 1
< 0.1%
151 1
< 0.1%
158 1
< 0.1%
170 1
< 0.1%
183 1
< 0.1%
187 1
< 0.1%
211 1
< 0.1%
ValueCountFrequency (%)
1853219 1
< 0.1%
1852375 1
< 0.1%
1825114 1
< 0.1%
1763738 1
< 0.1%
1760392 1
< 0.1%
1725488 1
< 0.1%
1647656 1
< 0.1%
1616202 1
< 0.1%
1596266 1
< 0.1%
1550541 1
< 0.1%
Distinct9776
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean110409.27
Minimum1
Maximum1872132
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T23:36:40.594213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5793.85
Q130592.25
median76178
Q3146643
95-th percentile314540.7
Maximum1872132
Range1872131
Interquartile range (IQR)116050.75

Descriptive statistics

Standard deviation134482.08
Coefficient of variation (CV)1.2180325
Kurtosis40.93889
Mean110409.27
Median Absolute Deviation (MAD)52351.5
Skewness4.8132196
Sum1.1040927 × 109
Variance1.8085431 × 1010
MonotonicityNot monotonic
2024-05-03T23:36:40.929642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4989 3
 
< 0.1%
6828 3
 
< 0.1%
39559 3
 
< 0.1%
12189 3
 
< 0.1%
43021 3
 
< 0.1%
6537 3
 
< 0.1%
3780 3
 
< 0.1%
31892 2
 
< 0.1%
12487 2
 
< 0.1%
117650 2
 
< 0.1%
Other values (9766) 9973
99.7%
ValueCountFrequency (%)
1 1
< 0.1%
4 1
< 0.1%
8 1
< 0.1%
103 1
< 0.1%
119 1
< 0.1%
155 1
< 0.1%
163 1
< 0.1%
179 1
< 0.1%
191 1
< 0.1%
194 1
< 0.1%
ValueCountFrequency (%)
1872132 1
< 0.1%
1861965 1
< 0.1%
1851308 1
< 0.1%
1785787 1
< 0.1%
1779580 1
< 0.1%
1716036 1
< 0.1%
1699008 1
< 0.1%
1680724 1
< 0.1%
1645369 1
< 0.1%
1617276 1
< 0.1%
Distinct9845
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean146996.36
Minimum0
Maximum2124258
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T23:36:41.211234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7545.7
Q140815
median101294
Q3200334.75
95-th percentile414727.8
Maximum2124258
Range2124258
Interquartile range (IQR)159519.75

Descriptive statistics

Standard deviation166052.97
Coefficient of variation (CV)1.12964
Kurtosis23.167676
Mean146996.36
Median Absolute Deviation (MAD)70792.5
Skewness3.6049784
Sum1.4699636 × 109
Variance2.7573588 × 1010
MonotonicityNot monotonic
2024-05-03T23:36:41.484323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
< 0.1%
113362 3
 
< 0.1%
10766 3
 
< 0.1%
13917 2
 
< 0.1%
23909 2
 
< 0.1%
84726 2
 
< 0.1%
29262 2
 
< 0.1%
32184 2
 
< 0.1%
148510 2
 
< 0.1%
9824 2
 
< 0.1%
Other values (9835) 9977
99.8%
ValueCountFrequency (%)
0 3
< 0.1%
119 1
 
< 0.1%
154 1
 
< 0.1%
156 1
 
< 0.1%
173 1
 
< 0.1%
197 1
 
< 0.1%
204 1
 
< 0.1%
213 1
 
< 0.1%
219 1
 
< 0.1%
220 1
 
< 0.1%
ValueCountFrequency (%)
2124258 1
< 0.1%
2055318 1
< 0.1%
1824230 1
< 0.1%
1797241 1
< 0.1%
1793125 1
< 0.1%
1772998 1
< 0.1%
1763134 1
< 0.1%
1729022 1
< 0.1%
1726038 1
< 0.1%
1693153 1
< 0.1%
Distinct9758
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean104964.74
Minimum0
Maximum978039
Zeros8
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T23:36:41.797727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4779.75
Q127746.5
median72929.5
Q3146680.25
95-th percentile305262.95
Maximum978039
Range978039
Interquartile range (IQR)118933.75

Descriptive statistics

Standard deviation108716.75
Coefficient of variation (CV)1.0357454
Kurtosis7.3623957
Mean104964.74
Median Absolute Deviation (MAD)52287.5
Skewness2.1834705
Sum1.0496474 × 109
Variance1.1819331 × 1010
MonotonicityNot monotonic
2024-05-03T23:36:42.201763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 8
 
0.1%
62180 3
 
< 0.1%
25113 3
 
< 0.1%
9612 3
 
< 0.1%
6026 3
 
< 0.1%
4352 3
 
< 0.1%
48527 3
 
< 0.1%
4212 3
 
< 0.1%
27471 2
 
< 0.1%
2321 2
 
< 0.1%
Other values (9748) 9967
99.7%
ValueCountFrequency (%)
0 8
0.1%
36 1
 
< 0.1%
48 1
 
< 0.1%
52 1
 
< 0.1%
58 1
 
< 0.1%
72 1
 
< 0.1%
78 1
 
< 0.1%
84 1
 
< 0.1%
93 1
 
< 0.1%
145 1
 
< 0.1%
ValueCountFrequency (%)
978039 1
< 0.1%
955972 1
< 0.1%
949746 1
< 0.1%
946039 1
< 0.1%
932288 1
< 0.1%
894279 1
< 0.1%
814079 1
< 0.1%
812859 1
< 0.1%
809780 1
< 0.1%
788548 1
< 0.1%
Distinct9795
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean121728.33
Minimum0
Maximum1406584
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T23:36:42.598510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6080.9
Q134141
median85754.5
Q3168509.25
95-th percentile347096.55
Maximum1406584
Range1406584
Interquartile range (IQR)134368.25

Descriptive statistics

Standard deviation128333.89
Coefficient of variation (CV)1.0542648
Kurtosis12.999865
Mean121728.33
Median Absolute Deviation (MAD)60513
Skewness2.717575
Sum1.2172833 × 109
Variance1.6469587 × 1010
MonotonicityNot monotonic
2024-05-03T23:36:43.044095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7841 3
 
< 0.1%
90399 3
 
< 0.1%
7718 3
 
< 0.1%
109183 2
 
< 0.1%
68911 2
 
< 0.1%
59487 2
 
< 0.1%
7202 2
 
< 0.1%
5733 2
 
< 0.1%
43924 2
 
< 0.1%
124088 2
 
< 0.1%
Other values (9785) 9977
99.8%
ValueCountFrequency (%)
0 1
< 0.1%
2 1
< 0.1%
6 1
< 0.1%
95 1
< 0.1%
100 1
< 0.1%
147 1
< 0.1%
157 1
< 0.1%
169 1
< 0.1%
175 1
< 0.1%
185 1
< 0.1%
ValueCountFrequency (%)
1406584 1
< 0.1%
1333092 1
< 0.1%
1315614 1
< 0.1%
1272457 1
< 0.1%
1239237 1
< 0.1%
1228366 1
< 0.1%
1212089 1
< 0.1%
1185229 1
< 0.1%
1152231 1
< 0.1%
1112800 1
< 0.1%
Distinct9758
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122431.51
Minimum0
Maximum1463685
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T23:36:43.463504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6114.9
Q134274.75
median86187.5
Q3169864.25
95-th percentile350451.6
Maximum1463685
Range1463685
Interquartile range (IQR)135589.5

Descriptive statistics

Standard deviation130584.28
Coefficient of variation (CV)1.0665905
Kurtosis15.021921
Mean122431.51
Median Absolute Deviation (MAD)60817
Skewness2.8886368
Sum1.2243151 × 109
Variance1.7052254 × 1010
MonotonicityNot monotonic
2024-05-03T23:36:43.907688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
77363 3
 
< 0.1%
127475 3
 
< 0.1%
5817 3
 
< 0.1%
19669 3
 
< 0.1%
86269 3
 
< 0.1%
78902 3
 
< 0.1%
22289 2
 
< 0.1%
96581 2
 
< 0.1%
132650 2
 
< 0.1%
46725 2
 
< 0.1%
Other values (9748) 9974
99.7%
ValueCountFrequency (%)
0 1
< 0.1%
5 1
< 0.1%
13 1
< 0.1%
93 1
< 0.1%
105 1
< 0.1%
154 1
< 0.1%
160 1
< 0.1%
171 1
< 0.1%
177 1
< 0.1%
179 1
< 0.1%
ValueCountFrequency (%)
1463685 1
< 0.1%
1412294 1
< 0.1%
1381468 1
< 0.1%
1350203 1
< 0.1%
1339952 1
< 0.1%
1300508 1
< 0.1%
1287082 1
< 0.1%
1241705 1
< 0.1%
1238518 1
< 0.1%
1211168 1
< 0.1%
Distinct9786
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122598.19
Minimum5
Maximum1466669
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T23:36:44.422170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile6141.95
Q134296.5
median86265.5
Q3170039
95-th percentile351255.8
Maximum1466669
Range1466664
Interquartile range (IQR)135742.5

Descriptive statistics

Standard deviation130882.38
Coefficient of variation (CV)1.0675719
Kurtosis15.034963
Mean122598.19
Median Absolute Deviation (MAD)60788.5
Skewness2.8956419
Sum1.2259819 × 109
Variance1.7130197 × 1010
MonotonicityNot monotonic
2024-05-03T23:36:44.864318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38142 3
 
< 0.1%
10162 3
 
< 0.1%
6652 3
 
< 0.1%
23172 3
 
< 0.1%
23662 3
 
< 0.1%
56815 2
 
< 0.1%
98029 2
 
< 0.1%
81504 2
 
< 0.1%
68538 2
 
< 0.1%
4617 2
 
< 0.1%
Other values (9776) 9975
99.8%
ValueCountFrequency (%)
5 1
< 0.1%
7 1
< 0.1%
12 1
< 0.1%
97 1
< 0.1%
107 1
< 0.1%
151 1
< 0.1%
163 1
< 0.1%
175 1
< 0.1%
182 1
< 0.1%
187 1
< 0.1%
ValueCountFrequency (%)
1466669 1
< 0.1%
1386192 1
< 0.1%
1386127 1
< 0.1%
1366441 1
< 0.1%
1282512 1
< 0.1%
1279341 1
< 0.1%
1255407 1
< 0.1%
1251450 1
< 0.1%
1250178 1
< 0.1%
1236835 1
< 0.1%
Distinct9781
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122518.9
Minimum1
Maximum1396528
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T23:36:45.282016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6157.85
Q134216.5
median86151.5
Q3169715
95-th percentile351946.55
Maximum1396528
Range1396527
Interquartile range (IQR)135498.5

Descriptive statistics

Standard deviation131075.14
Coefficient of variation (CV)1.069836
Kurtosis15.22455
Mean122518.9
Median Absolute Deviation (MAD)60746
Skewness2.9179758
Sum1.225189 × 109
Variance1.7180691 × 1010
MonotonicityNot monotonic
2024-05-03T23:36:45.757081image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
68265 3
 
< 0.1%
23314 3
 
< 0.1%
48270 3
 
< 0.1%
13500 3
 
< 0.1%
4845 3
 
< 0.1%
1007 2
 
< 0.1%
224171 2
 
< 0.1%
67183 2
 
< 0.1%
44217 2
 
< 0.1%
3581 2
 
< 0.1%
Other values (9771) 9975
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
8 1
< 0.1%
12 1
< 0.1%
93 1
< 0.1%
106 1
< 0.1%
147 1
< 0.1%
157 1
< 0.1%
173 1
< 0.1%
181 1
< 0.1%
182 1
< 0.1%
ValueCountFrequency (%)
1396528 1
< 0.1%
1385580 1
< 0.1%
1384435 1
< 0.1%
1382933 1
< 0.1%
1304953 1
< 0.1%
1295260 1
< 0.1%
1279921 1
< 0.1%
1267499 1
< 0.1%
1265723 1
< 0.1%
1228318 1
< 0.1%
Distinct9763
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean122272.21
Minimum0
Maximum1432702
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T23:36:46.229001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6138.9
Q134274.5
median86070
Q3169103
95-th percentile349177.55
Maximum1432702
Range1432702
Interquartile range (IQR)134828.5

Descriptive statistics

Standard deviation131248.21
Coefficient of variation (CV)1.07341
Kurtosis15.63658
Mean122272.21
Median Absolute Deviation (MAD)60746.5
Skewness2.9545118
Sum1.2227221 × 109
Variance1.7226094 × 1010
MonotonicityNot monotonic
2024-05-03T23:36:46.579748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 3
 
< 0.1%
16418 3
 
< 0.1%
4850 3
 
< 0.1%
6982 3
 
< 0.1%
36320 3
 
< 0.1%
3728 2
 
< 0.1%
73293 2
 
< 0.1%
28026 2
 
< 0.1%
47612 2
 
< 0.1%
5913 2
 
< 0.1%
Other values (9753) 9975
99.8%
ValueCountFrequency (%)
0 3
< 0.1%
106 2
< 0.1%
151 1
 
< 0.1%
156 1
 
< 0.1%
171 2
< 0.1%
183 1
 
< 0.1%
206 1
 
< 0.1%
264 1
 
< 0.1%
280 1
 
< 0.1%
296 1
 
< 0.1%
ValueCountFrequency (%)
1432702 1
< 0.1%
1427502 1
< 0.1%
1424450 1
< 0.1%
1396973 1
< 0.1%
1345499 1
< 0.1%
1296327 1
< 0.1%
1276290 1
< 0.1%
1252864 1
< 0.1%
1240066 1
< 0.1%
1228459 1
< 0.1%
Distinct9754
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean119018.6
Minimum0
Maximum1189570
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T23:36:46.932794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile6018.8
Q132806
median83630
Q3165476
95-th percentile338819
Maximum1189570
Range1189570
Interquartile range (IQR)132670

Descriptive statistics

Standard deviation123929.22
Coefficient of variation (CV)1.0412593
Kurtosis10.055528
Mean119018.6
Median Absolute Deviation (MAD)58964
Skewness2.4693561
Sum1.190186 × 109
Variance1.5358452 × 1010
MonotonicityNot monotonic
2024-05-03T23:36:47.414926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
27388 3
 
< 0.1%
5131 3
 
< 0.1%
0 3
 
< 0.1%
1820 2
 
< 0.1%
72320 2
 
< 0.1%
12361 2
 
< 0.1%
46354 2
 
< 0.1%
6122 2
 
< 0.1%
131050 2
 
< 0.1%
32940 2
 
< 0.1%
Other values (9744) 9977
99.8%
ValueCountFrequency (%)
0 3
< 0.1%
87 1
 
< 0.1%
103 1
 
< 0.1%
121 1
 
< 0.1%
132 2
< 0.1%
147 1
 
< 0.1%
156 1
 
< 0.1%
205 1
 
< 0.1%
232 1
 
< 0.1%
344 1
 
< 0.1%
ValueCountFrequency (%)
1189570 1
< 0.1%
1167365 1
< 0.1%
1157989 1
< 0.1%
1149506 1
< 0.1%
1121321 1
< 0.1%
1082125 1
< 0.1%
1079501 1
< 0.1%
1047401 1
< 0.1%
1010299 1
< 0.1%
983786 1
< 0.1%
Distinct9793
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117250.43
Minimum0
Maximum1008174
Zeros3
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T23:36:47.882390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5643.9
Q132471.5
median82266
Q3162925.25
95-th percentile336780.85
Maximum1008174
Range1008174
Interquartile range (IQR)130453.75

Descriptive statistics

Standard deviation119231.81
Coefficient of variation (CV)1.0168987
Kurtosis6.68639
Mean117250.43
Median Absolute Deviation (MAD)58409.5
Skewness2.1132589
Sum1.1725043 × 109
Variance1.4216224 × 1010
MonotonicityNot monotonic
2024-05-03T23:36:48.244636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5958 4
 
< 0.1%
18545 3
 
< 0.1%
14386 3
 
< 0.1%
6241 3
 
< 0.1%
7131 3
 
< 0.1%
5770 3
 
< 0.1%
0 3
 
< 0.1%
43742 3
 
< 0.1%
16454 2
 
< 0.1%
42813 2
 
< 0.1%
Other values (9783) 9971
99.7%
ValueCountFrequency (%)
0 3
< 0.1%
78 1
 
< 0.1%
85 1
 
< 0.1%
115 1
 
< 0.1%
120 1
 
< 0.1%
129 1
 
< 0.1%
136 1
 
< 0.1%
144 1
 
< 0.1%
154 1
 
< 0.1%
232 1
 
< 0.1%
ValueCountFrequency (%)
1008174 1
< 0.1%
1003270 1
< 0.1%
999647 1
< 0.1%
978168 1
< 0.1%
956807 1
< 0.1%
903667 1
< 0.1%
882734 1
< 0.1%
875693 1
< 0.1%
846676 1
< 0.1%
810772 1
< 0.1%

Sample

기준_년분기_코드상권_구분_코드상권_구분_코드_명상권_코드상권_코드_명총_유동인구_수남성_유동인구_수여성_유동인구_수연령대_10_유동인구_수연령대_20_유동인구_수연령대_30_유동인구_수연령대_40_유동인구_수연령대_50_유동인구_수연령대_60_이상_유동인구_수시간대_00_06_유동인구_수시간대_06_11_유동인구_수시간대_11_14_유동인구_수시간대_14_17_유동인구_수시간대_17_21_유동인구_수시간대_21_24_유동인구_수월요일_유동인구_수화요일_유동인구_수수요일_유동인구_수목요일_유동인구_수금요일_유동인구_수토요일_유동인구_수일요일_유동인구_수
971720223A골목상권3110177동의초등학교988004393454864169871200314364166811476224004320632077797039475138091297413916137621371013476135101489215535
2344720202D발달상권3120207선정릉역254386212262521317610356942439469583916511150277045375342544435536823376325380400433562272317381133381996386730385972380227320321307482
2462320202A골목상권3110121한양대역 4번160513856867482624112537522600017722179752095244804336501841017761247002118923354237032362023533232032190921192
3226820191A골목상권3110726금천철쭉어린이공원(금하마을)4681332353262328079416352760679497595770503106802122000988745366253749774666238367204665196631664946664966802368630
2040820204A골목상권3111036투구봉어린이공원33858615613618244873867368254537451230530747821692922696953850037805552364442947812473704756847502479214953550877
308020233A골목상권3110217자동차부품상가623567328281295287613697332812116311696510167314907013950913538586894872601036837083791085890278909789196887958840887959
1479020214A골목상권3110054청구역 3번1036169492134544035149551154302185621153789161115231791248527212715135175133098179876126779147888149713149187148642148426145815146496
2882220193A골목상권3110872신림초등학교685902307939377963888741394801186031007527873315946023726415186065872579148320989785973429595996334968779451999501105368
521220231R전통시장3130061이태원시장9833348271500616431213032387819652139981307215950175341566516832213121103813530136651411014242148481487313066
2104920204A골목상권3110395신한은행 방학동지점26780012129914650234638277953196437960474178802847272461923658740759609033608837474372183763337897380124019239375
기준_년분기_코드상권_구분_코드상권_구분_코드_명상권_코드상권_코드_명총_유동인구_수남성_유동인구_수여성_유동인구_수연령대_10_유동인구_수연령대_20_유동인구_수연령대_30_유동인구_수연령대_40_유동인구_수연령대_50_유동인구_수연령대_60_이상_유동인구_수시간대_00_06_유동인구_수시간대_06_11_유동인구_수시간대_11_14_유동인구_수시간대_14_17_유동인구_수시간대_17_21_유동인구_수시간대_21_24_유동인구_수월요일_유동인구_수화요일_유동인구_수수요일_유동인구_수목요일_유동인구_수금요일_유동인구_수토요일_유동인구_수일요일_유동인구_수
1459120214A골목상권3110253중곡초등학교826748396020430727149604906681320841346061330091867762520201696468581084405123657111208116546116113114254115450114991121974127418
1309020221A골목상권3110104신금호역 4번1286675585965700712230531136031196811201278195445326579408703275292127290119306180390175694182462182290181846180847181054186605191570
2172220203R전통시장3130049신당 미래유산 먹거리 골목형상점가156445799497649610308255772728125294315253646032820317392228522457287081843822542232772292023264234652151419464
3071320192A골목상권3110631방화초등학교9751144659435091701426041184331585391488381427112639893092322054999921094056135838131280140767138074139059140450138452137693140620
2435320202A골목상권3110391샘말어린이공원57447926788830659271698765046156680527953351888481804881258296101156624773787315080709798178050679014789418589489598
2419420202A골목상권3110550합정역 8번19287438276951101049208500402371453834315843225231322965527173390536220891220038318124251978273258273675275697275712277871278972273559
2563220201A골목상권3110762선유도역 1번1748609866816881793208610319021426312287611230513276541443495373809232077227800271322200104258589262125260855260057255645226645224693
1480620214A골목상권3110038경향신문사2607113197128742721344859416399441031532227638060275849421713724043462846684606425320821791
560220231A골목상권3110994개포고등학교4236812025142211678601839659524957485464616106038104118973115845554547611324811861837616666177862465622045879454937
1544620213A골목상권3111048천호역 1번(천호문구완구거리)1362717649132713585115862196004248939220102233118348691337165276248163523173673234164177946194340195365197793197828197892194382185118