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,상권배후지_코드,상권배후지_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-15582/S/1/datasetView.do

Alerts

상권_구분_코드 has constant value ""Constant
상권_구분_코드_명 has constant value ""Constant

Reproduction

Analysis started2024-05-03 21:28:52.237240
Analysis finished2024-05-03 21:28:54.164363
Duration1.93 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%
Mean20212.38
Minimum20191
Maximum20234
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:28:54.345587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20191
5-th percentile20191
Q120201
median20212
Q320223
95-th percentile20234
Maximum20234
Range43
Interquartile range (IQR)22

Descriptive statistics

Standard deviation14.184083
Coefficient of variation (CV)0.00070175228
Kurtosis-1.2834648
Mean20212.38
Median Absolute Deviation (MAD)11
Skewness0.0094703194
Sum2.021238 × 108
Variance201.18822
MonotonicityNot monotonic
2024-05-03T21:28:54.868127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
20203 523
 
5.2%
20191 519
 
5.2%
20224 518
 
5.2%
20194 517
 
5.2%
20221 517
 
5.2%
20213 514
 
5.1%
20222 507
 
5.1%
20234 504
 
5.0%
20202 503
 
5.0%
20233 503
 
5.0%
Other values (10) 4875
48.8%
ValueCountFrequency (%)
20191 519
5.2%
20192 492
4.9%
20193 497
5.0%
20194 517
5.2%
20201 496
5.0%
20202 503
5.0%
20203 523
5.2%
20204 491
4.9%
20211 498
5.0%
20212 499
5.0%
ValueCountFrequency (%)
20234 504
5.0%
20233 503
5.0%
20232 474
4.7%
20231 479
4.8%
20224 518
5.2%
20223 480
4.8%
20222 507
5.1%
20221 517
5.2%
20214 469
4.7%
20213 514
5.1%

상권_구분_코드
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
A
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
A 10000
100.0%

Length

2024-05-03T21:28:55.424100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:28:55.711756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a 10000
100.0%

상권_구분_코드_명
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
골목상권
10000 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
골목상권 10000
100.0%

Length

2024-05-03T21:28:56.070947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:28:56.591153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
골목상권 10000
100.0%

상권배후지_코드
Real number (ℝ)

Distinct1090
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3110546.8
Minimum3110001
Maximum3111090
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:28:56.988186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3110001
5-th percentile3110056
Q13110273
median3110547
Q33110822
95-th percentile3111035
Maximum3111090
Range1089
Interquartile range (IQR)549

Descriptive statistics

Standard deviation314.93885
Coefficient of variation (CV)0.00010124871
Kurtosis-1.2054626
Mean3110546.8
Median Absolute Deviation (MAD)275
Skewness-0.011690852
Sum3.1105468 × 1010
Variance99186.48
MonotonicityNot monotonic
2024-05-03T21:28:57.583252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3110310 16
 
0.2%
3110833 16
 
0.2%
3110667 16
 
0.2%
3111081 15
 
0.1%
3110993 15
 
0.1%
3111035 15
 
0.1%
3110982 15
 
0.1%
3110719 15
 
0.1%
3110896 15
 
0.1%
3110081 15
 
0.1%
Other values (1080) 9847
98.5%
ValueCountFrequency (%)
3110001 11
0.1%
3110002 7
0.1%
3110003 5
0.1%
3110004 9
0.1%
3110005 6
0.1%
3110006 5
0.1%
3110007 11
0.1%
3110008 11
0.1%
3110009 8
0.1%
3110010 12
0.1%
ValueCountFrequency (%)
3111090 7
0.1%
3111089 7
0.1%
3111088 8
0.1%
3111087 7
0.1%
3111086 8
0.1%
3111085 9
0.1%
3111084 7
0.1%
3111083 10
0.1%
3111082 13
0.1%
3111081 15
0.1%
Distinct1090
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-03T21:28:58.411665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length7.471
Min length2

Characters and Unicode

Total characters74710
Distinct characters401
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row상신초등학교입구
2nd row서울산업정보학교(서울삼성초등학교)
3rd row방화역 2번
4th row베르사이유1아파트
5th row남태령역(서울전자고등학교)
ValueCountFrequency (%)
1번 697
 
5.1%
2번 552
 
4.0%
3번 504
 
3.7%
4번 432
 
3.2%
5번 224
 
1.6%
6번 187
 
1.4%
8번 136
 
1.0%
7번 125
 
0.9%
10번 51
 
0.4%
내방역 46
 
0.3%
Other values (982) 10693
78.4%
2024-05-03T21:28:59.984544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3647
 
4.9%
3420
 
4.6%
3258
 
4.4%
2522
 
3.4%
2490
 
3.3%
2077
 
2.8%
1636
 
2.2%
1 1325
 
1.8%
1252
 
1.7%
1196
 
1.6%
Other values (391) 51887
69.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 64438
86.3%
Decimal Number 4460
 
6.0%
Space Separator 3647
 
4.9%
Open Punctuation 854
 
1.1%
Close Punctuation 854
 
1.1%
Uppercase Letter 396
 
0.5%
Other Punctuation 51
 
0.1%
Lowercase Letter 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3420
 
5.3%
3258
 
5.1%
2522
 
3.9%
2490
 
3.9%
2077
 
3.2%
1636
 
2.5%
1252
 
1.9%
1196
 
1.9%
1195
 
1.9%
1096
 
1.7%
Other values (361) 44296
68.7%
Uppercase Letter
ValueCountFrequency (%)
K 97
24.5%
T 48
12.1%
B 38
 
9.6%
G 36
 
9.1%
C 33
 
8.3%
I 32
 
8.1%
S 30
 
7.6%
H 22
 
5.6%
N 22
 
5.6%
R 10
 
2.5%
Other values (3) 28
 
7.1%
Decimal Number
ValueCountFrequency (%)
1 1325
29.7%
2 840
18.8%
3 685
15.4%
4 612
13.7%
5 314
 
7.0%
6 220
 
4.9%
8 156
 
3.5%
7 136
 
3.0%
9 110
 
2.5%
0 62
 
1.4%
Other Punctuation
ValueCountFrequency (%)
& 18
35.3%
. 18
35.3%
, 15
29.4%
Space Separator
ValueCountFrequency (%)
3647
100.0%
Open Punctuation
ValueCountFrequency (%)
( 854
100.0%
Close Punctuation
ValueCountFrequency (%)
) 854
100.0%
Lowercase Letter
ValueCountFrequency (%)
h 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 64438
86.3%
Common 9866
 
13.2%
Latin 406
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3420
 
5.3%
3258
 
5.1%
2522
 
3.9%
2490
 
3.9%
2077
 
3.2%
1636
 
2.5%
1252
 
1.9%
1196
 
1.9%
1195
 
1.9%
1096
 
1.7%
Other values (361) 44296
68.7%
Common
ValueCountFrequency (%)
3647
37.0%
1 1325
 
13.4%
( 854
 
8.7%
) 854
 
8.7%
2 840
 
8.5%
3 685
 
6.9%
4 612
 
6.2%
5 314
 
3.2%
6 220
 
2.2%
8 156
 
1.6%
Other values (6) 359
 
3.6%
Latin
ValueCountFrequency (%)
K 97
23.9%
T 48
11.8%
B 38
 
9.4%
G 36
 
8.9%
C 33
 
8.1%
I 32
 
7.9%
S 30
 
7.4%
H 22
 
5.4%
N 22
 
5.4%
h 10
 
2.5%
Other values (4) 38
 
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 64438
86.3%
ASCII 10272
 
13.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3647
35.5%
1 1325
 
12.9%
( 854
 
8.3%
) 854
 
8.3%
2 840
 
8.2%
3 685
 
6.7%
4 612
 
6.0%
5 314
 
3.1%
6 220
 
2.1%
8 156
 
1.5%
Other values (20) 765
 
7.4%
Hangul
ValueCountFrequency (%)
3420
 
5.3%
3258
 
5.1%
2522
 
3.9%
2490
 
3.9%
2077
 
3.2%
1636
 
2.5%
1252
 
1.9%
1196
 
1.9%
1195
 
1.9%
1096
 
1.7%
Other values (361) 44296
68.7%

총_유동인구_수
Real number (ℝ)

Distinct9991
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3810626.4
Minimum39
Maximum21229971
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:29:00.693839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39
5-th percentile738077.5
Q12174251.5
median3380493.5
Q35113394.5
95-th percentile8198783.6
Maximum21229971
Range21229932
Interquartile range (IQR)2939143

Descriptive statistics

Standard deviation2373016.5
Coefficient of variation (CV)0.6227366
Kurtosis3.5686858
Mean3810626.4
Median Absolute Deviation (MAD)1411433.5
Skewness1.3285801
Sum3.8106264 × 1010
Variance5.6312074 × 1012
MonotonicityNot monotonic
2024-05-03T21:29:01.344674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3583823 2
 
< 0.1%
1671659 2
 
< 0.1%
2799596 2
 
< 0.1%
3281257 2
 
< 0.1%
3582439 2
 
< 0.1%
964453 2
 
< 0.1%
2499848 2
 
< 0.1%
3803026 2
 
< 0.1%
1162417 2
 
< 0.1%
4031203 1
 
< 0.1%
Other values (9981) 9981
99.8%
ValueCountFrequency (%)
39 1
< 0.1%
45 1
< 0.1%
2067 1
< 0.1%
2325 1
< 0.1%
2733 1
< 0.1%
2748 1
< 0.1%
2958 1
< 0.1%
3063 1
< 0.1%
3135 1
< 0.1%
3378 1
< 0.1%
ValueCountFrequency (%)
21229971 1
< 0.1%
21118102 1
< 0.1%
20806232 1
< 0.1%
20006490 1
< 0.1%
19758226 1
< 0.1%
19529319 1
< 0.1%
18930882 1
< 0.1%
18532228 1
< 0.1%
18106335 1
< 0.1%
17536549 1
< 0.1%

남성_유동인구_수
Real number (ℝ)

Distinct9992
Distinct (%)99.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1795850.3
Minimum39
Maximum10316389
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:29:02.022231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum39
5-th percentile354532.25
Q11028053
median1600546
Q32399204
95-th percentile3833809.9
Maximum10316389
Range10316350
Interquartile range (IQR)1371151

Descriptive statistics

Standard deviation1117674.5
Coefficient of variation (CV)0.62236506
Kurtosis4.2647604
Mean1795850.3
Median Absolute Deviation (MAD)656420.5
Skewness1.4100752
Sum1.7958503 × 1010
Variance1.2491963 × 1012
MonotonicityNot monotonic
2024-05-03T21:29:02.820703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1886163 2
 
< 0.1%
1044110 2
 
< 0.1%
732714 2
 
< 0.1%
1735772 2
 
< 0.1%
1039449 2
 
< 0.1%
1645866 2
 
< 0.1%
803136 2
 
< 0.1%
717683 2
 
< 0.1%
2062847 1
 
< 0.1%
1734787 1
 
< 0.1%
Other values (9982) 9982
99.8%
ValueCountFrequency (%)
39 1
< 0.1%
45 1
< 0.1%
1419 1
< 0.1%
1494 1
< 0.1%
1824 1
< 0.1%
1881 1
< 0.1%
1968 1
< 0.1%
2097 1
< 0.1%
2130 1
< 0.1%
2154 1
< 0.1%
ValueCountFrequency (%)
10316389 1
< 0.1%
10264884 1
< 0.1%
10105159 1
< 0.1%
9663980 1
< 0.1%
9662848 1
< 0.1%
9440565 1
< 0.1%
9161720 1
< 0.1%
9131450 1
< 0.1%
8967101 1
< 0.1%
8822493 1
< 0.1%

여성_유동인구_수
Real number (ℝ)

Distinct9981
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2014776.1
Minimum0
Maximum10913582
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:29:03.412561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile386457.65
Q11135596.2
median1776288.5
Q32712826
95-th percentile4345926.9
Maximum10913582
Range10913582
Interquartile range (IQR)1577229.8

Descriptive statistics

Standard deviation1263167.5
Coefficient of variation (CV)0.62695179
Kurtosis3.0921628
Mean2014776.1
Median Absolute Deviation (MAD)764203.5
Skewness1.2789329
Sum2.0147761 × 1010
Variance1.595592 × 1012
MonotonicityNot monotonic
2024-05-03T21:29:04.073603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1826973 2
 
< 0.1%
1472689 2
 
< 0.1%
1864036 2
 
< 0.1%
1349337 2
 
< 0.1%
0 2
 
< 0.1%
1493009 2
 
< 0.1%
3158091 2
 
< 0.1%
3059275 2
 
< 0.1%
1124846 2
 
< 0.1%
2131533 2
 
< 0.1%
Other values (9971) 9980
99.8%
ValueCountFrequency (%)
0 2
< 0.1%
648 1
< 0.1%
831 1
< 0.1%
852 1
< 0.1%
924 1
< 0.1%
966 1
< 0.1%
981 1
< 0.1%
990 1
< 0.1%
1248 1
< 0.1%
1284 1
< 0.1%
ValueCountFrequency (%)
10913582 1
< 0.1%
10853217 1
< 0.1%
10701073 1
< 0.1%
10342511 1
< 0.1%
10095378 1
< 0.1%
10088755 1
< 0.1%
9769161 1
< 0.1%
9400779 1
< 0.1%
9181997 1
< 0.1%
9139234 1
< 0.1%
Distinct9959
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean530355.03
Minimum0
Maximum3814781
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:29:04.738709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile85524.9
Q1277557.75
median460752.5
Q3701249.75
95-th percentile1215522.2
Maximum3814781
Range3814781
Interquartile range (IQR)423692

Descriptive statistics

Standard deviation359603.25
Coefficient of variation (CV)0.6780425
Kurtosis3.8743891
Mean530355.03
Median Absolute Deviation (MAD)204924
Skewness1.457905
Sum5.3035503 × 109
Variance1.293145 × 1011
MonotonicityNot monotonic
2024-05-03T21:29:05.501859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
221362 2
 
< 0.1%
260454 2
 
< 0.1%
554038 2
 
< 0.1%
664287 2
 
< 0.1%
531835 2
 
< 0.1%
426965 2
 
< 0.1%
675815 2
 
< 0.1%
546780 2
 
< 0.1%
1125568 2
 
< 0.1%
359177 2
 
< 0.1%
Other values (9949) 9980
99.8%
ValueCountFrequency (%)
0 2
< 0.1%
411 1
< 0.1%
444 1
< 0.1%
522 1
< 0.1%
600 1
< 0.1%
621 1
< 0.1%
651 1
< 0.1%
669 1
< 0.1%
687 1
< 0.1%
690 1
< 0.1%
ValueCountFrequency (%)
3814781 1
< 0.1%
3185616 1
< 0.1%
3070582 1
< 0.1%
2906448 1
< 0.1%
2750497 1
< 0.1%
2595100 1
< 0.1%
2569905 1
< 0.1%
2501882 1
< 0.1%
2491386 1
< 0.1%
2466424 1
< 0.1%
Distinct9960
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean620640.69
Minimum33
Maximum3991080
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:29:06.118665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum33
5-th percentile93779.5
Q1296233.25
median506880.5
Q3789946.75
95-th percentile1558339.4
Maximum3991080
Range3991047
Interquartile range (IQR)493713.5

Descriptive statistics

Standard deviation487640.31
Coefficient of variation (CV)0.78570471
Kurtosis6.1718904
Mean620640.69
Median Absolute Deviation (MAD)237732.5
Skewness2.0137189
Sum6.2064069 × 109
Variance2.3779307 × 1011
MonotonicityNot monotonic
2024-05-03T21:29:06.712647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
150239 2
 
< 0.1%
451143 2
 
< 0.1%
484482 2
 
< 0.1%
408638 2
 
< 0.1%
52552 2
 
< 0.1%
435351 2
 
< 0.1%
554409 2
 
< 0.1%
308031 2
 
< 0.1%
553512 2
 
< 0.1%
358289 2
 
< 0.1%
Other values (9950) 9980
99.8%
ValueCountFrequency (%)
33 1
< 0.1%
45 1
< 0.1%
345 1
< 0.1%
363 1
< 0.1%
366 1
< 0.1%
438 1
< 0.1%
498 1
< 0.1%
501 1
< 0.1%
504 1
< 0.1%
540 1
< 0.1%
ValueCountFrequency (%)
3991080 1
< 0.1%
3988935 1
< 0.1%
3952538 1
< 0.1%
3884300 1
< 0.1%
3871935 1
< 0.1%
3868190 1
< 0.1%
3854318 1
< 0.1%
3844738 1
< 0.1%
3814178 1
< 0.1%
3684195 1
< 0.1%
Distinct9961
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean628315.34
Minimum0
Maximum4663903
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:29:07.518235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile114046.3
Q1345600
median547591
Q3824693.25
95-th percentile1370703.7
Maximum4663903
Range4663903
Interquartile range (IQR)479093.25

Descriptive statistics

Standard deviation424661.31
Coefficient of variation (CV)0.67587291
Kurtosis9.4165949
Mean628315.34
Median Absolute Deviation (MAD)233107.5
Skewness2.0098554
Sum6.2831534 × 109
Variance1.8033723 × 1011
MonotonicityNot monotonic
2024-05-03T21:29:08.164992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
513263 2
 
< 0.1%
648160 2
 
< 0.1%
386119 2
 
< 0.1%
425091 2
 
< 0.1%
281468 2
 
< 0.1%
527563 2
 
< 0.1%
815248 2
 
< 0.1%
75797 2
 
< 0.1%
302366 2
 
< 0.1%
518829 2
 
< 0.1%
Other values (9951) 9980
99.8%
ValueCountFrequency (%)
0 2
< 0.1%
177 1
< 0.1%
237 1
< 0.1%
273 1
< 0.1%
282 1
< 0.1%
300 1
< 0.1%
321 1
< 0.1%
345 1
< 0.1%
393 1
< 0.1%
423 1
< 0.1%
ValueCountFrequency (%)
4663903 1
< 0.1%
4553514 1
< 0.1%
4536786 1
< 0.1%
4253600 1
< 0.1%
4252646 1
< 0.1%
4153972 1
< 0.1%
4125760 1
< 0.1%
4051518 1
< 0.1%
3966457 1
< 0.1%
3945141 1
< 0.1%
Distinct9960
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean595450.32
Minimum0
Maximum4568946
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:29:08.870219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile124828.9
Q1344841.25
median531516
Q3775967.75
95-th percentile1261410.4
Maximum4568946
Range4568946
Interquartile range (IQR)431126.5

Descriptive statistics

Standard deviation379683.43
Coefficient of variation (CV)0.63764082
Kurtosis11.045552
Mean595450.32
Median Absolute Deviation (MAD)209834.5
Skewness2.045889
Sum5.9545032 × 109
Variance1.4415951 × 1011
MonotonicityNot monotonic
2024-05-03T21:29:09.431793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
239182 2
 
< 0.1%
538595 2
 
< 0.1%
659943 2
 
< 0.1%
344803 2
 
< 0.1%
324178 2
 
< 0.1%
355278 2
 
< 0.1%
394264 2
 
< 0.1%
515002 2
 
< 0.1%
329635 2
 
< 0.1%
169963 2
 
< 0.1%
Other values (9950) 9980
99.8%
ValueCountFrequency (%)
0 1
< 0.1%
6 1
< 0.1%
366 1
< 0.1%
423 1
< 0.1%
450 1
< 0.1%
486 1
< 0.1%
516 1
< 0.1%
546 1
< 0.1%
564 1
< 0.1%
609 1
< 0.1%
ValueCountFrequency (%)
4568946 1
< 0.1%
4548787 1
< 0.1%
4442241 1
< 0.1%
4211885 1
< 0.1%
4166808 1
< 0.1%
4018853 1
< 0.1%
3930098 1
< 0.1%
3848811 1
< 0.1%
3670554 1
< 0.1%
3654703 1
< 0.1%
Distinct9952
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean562686.72
Minimum0
Maximum3161582
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:29:10.285780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile108969.65
Q1309230.5
median492557
Q3744191.5
95-th percentile1242147.4
Maximum3161582
Range3161582
Interquartile range (IQR)434961

Descriptive statistics

Standard deviation361389.66
Coefficient of variation (CV)0.64225731
Kurtosis3.4278732
Mean562686.72
Median Absolute Deviation (MAD)209224
Skewness1.3650649
Sum5.6268672 × 109
Variance1.3060249 × 1011
MonotonicityNot monotonic
2024-05-03T21:29:11.001519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
441967 2
 
< 0.1%
539333 2
 
< 0.1%
259823 2
 
< 0.1%
441364 2
 
< 0.1%
489335 2
 
< 0.1%
392698 2
 
< 0.1%
361836 2
 
< 0.1%
771700 2
 
< 0.1%
193224 2
 
< 0.1%
622902 2
 
< 0.1%
Other values (9942) 9980
99.8%
ValueCountFrequency (%)
0 2
< 0.1%
306 1
< 0.1%
342 1
< 0.1%
375 1
< 0.1%
393 1
< 0.1%
402 2
< 0.1%
444 1
< 0.1%
474 1
< 0.1%
522 1
< 0.1%
534 1
< 0.1%
ValueCountFrequency (%)
3161582 1
< 0.1%
3151774 1
< 0.1%
3107760 1
< 0.1%
2982549 1
< 0.1%
2917777 1
< 0.1%
2884204 1
< 0.1%
2803294 1
< 0.1%
2787604 1
< 0.1%
2726584 1
< 0.1%
2596742 1
< 0.1%
Distinct9974
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean873178.36
Minimum0
Maximum3830200
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:29:11.765889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile152981.2
Q1443595.25
median764510.5
Q31176681.5
95-th percentile1981809.9
Maximum3830200
Range3830200
Interquartile range (IQR)733086.25

Descriptive statistics

Standard deviation574849.87
Coefficient of variation (CV)0.65834187
Kurtosis1.6257683
Mean873178.36
Median Absolute Deviation (MAD)354347
Skewness1.1409314
Sum8.7317836 × 109
Variance3.3045238 × 1011
MonotonicityNot monotonic
2024-05-03T21:29:12.612220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
284769 2
 
< 0.1%
442024 2
 
< 0.1%
125642 2
 
< 0.1%
1329550 2
 
< 0.1%
237720 2
 
< 0.1%
0 2
 
< 0.1%
721449 2
 
< 0.1%
678 2
 
< 0.1%
459317 2
 
< 0.1%
903329 2
 
< 0.1%
Other values (9964) 9980
99.8%
ValueCountFrequency (%)
0 2
< 0.1%
429 1
< 0.1%
465 1
< 0.1%
555 1
< 0.1%
585 1
< 0.1%
606 1
< 0.1%
627 1
< 0.1%
639 1
< 0.1%
648 1
< 0.1%
678 2
< 0.1%
ValueCountFrequency (%)
3830200 1
< 0.1%
3693319 1
< 0.1%
3542903 1
< 0.1%
3540702 1
< 0.1%
3534717 1
< 0.1%
3520667 1
< 0.1%
3496701 1
< 0.1%
3485559 1
< 0.1%
3481303 1
< 0.1%
3465965 1
< 0.1%
Distinct9967
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean996914.37
Minimum0
Maximum5192141
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:29:13.295227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile168486.6
Q1539763
median873725.5
Q31345430
95-th percentile2184130.6
Maximum5192141
Range5192141
Interquartile range (IQR)805667

Descriptive statistics

Standard deviation641380.95
Coefficient of variation (CV)0.64336614
Kurtosis2.1909175
Mean996914.37
Median Absolute Deviation (MAD)388604.5
Skewness1.1788142
Sum9.9691437 × 109
Variance4.1136952 × 1011
MonotonicityNot monotonic
2024-05-03T21:29:14.083647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
875787 2
 
< 0.1%
839680 2
 
< 0.1%
371258 2
 
< 0.1%
748828 2
 
< 0.1%
1012500 2
 
< 0.1%
304981 2
 
< 0.1%
1227244 2
 
< 0.1%
978459 2
 
< 0.1%
1370118 2
 
< 0.1%
802123 2
 
< 0.1%
Other values (9957) 9980
99.8%
ValueCountFrequency (%)
0 2
< 0.1%
421 1
< 0.1%
429 1
< 0.1%
468 1
< 0.1%
477 1
< 0.1%
522 1
< 0.1%
612 1
< 0.1%
630 1
< 0.1%
669 1
< 0.1%
699 1
< 0.1%
ValueCountFrequency (%)
5192141 1
< 0.1%
4616847 1
< 0.1%
4578649 1
< 0.1%
4488702 1
< 0.1%
4488540 1
< 0.1%
4481912 1
< 0.1%
4425544 1
< 0.1%
4403374 1
< 0.1%
4372825 1
< 0.1%
4331880 1
< 0.1%
Distinct9961
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean785287.4
Minimum12
Maximum4845509
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:29:15.092041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12
5-th percentile157268
Q1452340.75
median697942
Q31047751.2
95-th percentile1679071.5
Maximum4845509
Range4845497
Interquartile range (IQR)595410.5

Descriptive statistics

Standard deviation488900.45
Coefficient of variation (CV)0.62257518
Kurtosis5.0866523
Mean785287.4
Median Absolute Deviation (MAD)285918
Skewness1.4871889
Sum7.852874 × 109
Variance2.3902365 × 1011
MonotonicityNot monotonic
2024-05-03T21:29:16.379400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
416468 2
 
< 0.1%
342354 2
 
< 0.1%
837628 2
 
< 0.1%
356523 2
 
< 0.1%
216476 2
 
< 0.1%
685083 2
 
< 0.1%
437296 2
 
< 0.1%
770764 2
 
< 0.1%
517246 2
 
< 0.1%
1146714 2
 
< 0.1%
Other values (9951) 9980
99.8%
ValueCountFrequency (%)
12 1
< 0.1%
27 1
< 0.1%
546 1
< 0.1%
579 1
< 0.1%
705 1
< 0.1%
735 1
< 0.1%
738 1
< 0.1%
768 1
< 0.1%
804 1
< 0.1%
819 1
< 0.1%
ValueCountFrequency (%)
4845509 1
< 0.1%
4830123 1
< 0.1%
4752926 1
< 0.1%
4543480 1
< 0.1%
4431693 1
< 0.1%
4397617 1
< 0.1%
4215378 1
< 0.1%
4180748 1
< 0.1%
4033829 1
< 0.1%
3921874 1
< 0.1%
Distinct9931
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean451988.29
Minimum15
Maximum3283886
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:29:17.848423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile92572.45
Q1261365.25
median408863.5
Q3594217.75
95-th percentile957830.5
Maximum3283886
Range3283871
Interquartile range (IQR)332852.5

Descriptive statistics

Standard deviation283223.46
Coefficient of variation (CV)0.62661681
Kurtosis9.6109587
Mean451988.29
Median Absolute Deviation (MAD)162634
Skewness1.8761061
Sum4.5198829 × 109
Variance8.0215528 × 1010
MonotonicityNot monotonic
2024-05-03T21:29:19.204808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
501216 2
 
< 0.1%
176133 2
 
< 0.1%
238166 2
 
< 0.1%
414878 2
 
< 0.1%
22868 2
 
< 0.1%
899353 2
 
< 0.1%
265457 2
 
< 0.1%
725667 2
 
< 0.1%
278269 2
 
< 0.1%
293066 2
 
< 0.1%
Other values (9921) 9980
99.8%
ValueCountFrequency (%)
15 2
< 0.1%
318 1
< 0.1%
360 1
< 0.1%
429 1
< 0.1%
453 2
< 0.1%
474 2
< 0.1%
510 1
< 0.1%
519 1
< 0.1%
561 1
< 0.1%
567 1
< 0.1%
ValueCountFrequency (%)
3283886 1
< 0.1%
3191670 1
< 0.1%
3188974 1
< 0.1%
2967846 1
< 0.1%
2949216 1
< 0.1%
2924232 1
< 0.1%
2774077 1
< 0.1%
2765629 1
< 0.1%
2756683 1
< 0.1%
2697357 1
< 0.1%
Distinct9930
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean451881.59
Minimum3
Maximum3290640
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:29:19.793131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile90844.2
Q1260076.5
median408270.5
Q3593196
95-th percentile969234.75
Maximum3290640
Range3290637
Interquartile range (IQR)333119.5

Descriptive statistics

Standard deviation285564.07
Coefficient of variation (CV)0.63194448
Kurtosis9.0789384
Mean451881.59
Median Absolute Deviation (MAD)164115.5
Skewness1.8384346
Sum4.5188159 × 109
Variance8.1546839 × 1010
MonotonicityNot monotonic
2024-05-03T21:29:20.413097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
375266 2
 
< 0.1%
267345 2
 
< 0.1%
462017 2
 
< 0.1%
699226 2
 
< 0.1%
341803 2
 
< 0.1%
562231 2
 
< 0.1%
428196 2
 
< 0.1%
445616 2
 
< 0.1%
189976 2
 
< 0.1%
232373 2
 
< 0.1%
Other values (9920) 9980
99.8%
ValueCountFrequency (%)
3 1
< 0.1%
12 1
< 0.1%
309 1
< 0.1%
378 1
< 0.1%
429 1
< 0.1%
465 1
< 0.1%
489 2
< 0.1%
495 1
< 0.1%
537 1
< 0.1%
582 2
< 0.1%
ValueCountFrequency (%)
3290640 1
< 0.1%
3194362 1
< 0.1%
3193326 1
< 0.1%
2953710 1
< 0.1%
2942733 1
< 0.1%
2884007 1
< 0.1%
2756376 1
< 0.1%
2718796 1
< 0.1%
2714300 1
< 0.1%
2651020 1
< 0.1%
Distinct9958
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean631617.99
Minimum0
Maximum3218333
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:29:21.037020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile117278.9
Q1358056.5
median561419
Q3845782.75
95-th percentile1375512.2
Maximum3218333
Range3218333
Interquartile range (IQR)487726.25

Descriptive statistics

Standard deviation396899.52
Coefficient of variation (CV)0.62838539
Kurtosis2.6503873
Mean631617.99
Median Absolute Deviation (MAD)235602
Skewness1.2341
Sum6.3161799 × 109
Variance1.5752923 × 1011
MonotonicityNot monotonic
2024-05-03T21:29:21.535891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
305023 2
 
< 0.1%
1020015 2
 
< 0.1%
332650 2
 
< 0.1%
349585 2
 
< 0.1%
916488 2
 
< 0.1%
488560 2
 
< 0.1%
481857 2
 
< 0.1%
175006 2
 
< 0.1%
722037 2
 
< 0.1%
930937 2
 
< 0.1%
Other values (9948) 9980
99.8%
ValueCountFrequency (%)
0 2
< 0.1%
357 1
< 0.1%
399 1
< 0.1%
486 1
< 0.1%
498 1
< 0.1%
519 1
< 0.1%
528 1
< 0.1%
591 1
< 0.1%
612 1
< 0.1%
639 1
< 0.1%
ValueCountFrequency (%)
3218333 1
< 0.1%
3164090 1
< 0.1%
3136253 1
< 0.1%
3032017 1
< 0.1%
2978193 1
< 0.1%
2920472 1
< 0.1%
2873929 1
< 0.1%
2836559 1
< 0.1%
2827184 1
< 0.1%
2794816 1
< 0.1%
Distinct9945
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean492936.83
Minimum0
Maximum2247652
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:29:22.149091image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile88524.1
Q1271871.5
median433056
Q3665884
95-th percentile1078011.5
Maximum2247652
Range2247652
Interquartile range (IQR)394012.5

Descriptive statistics

Standard deviation312788.84
Coefficient of variation (CV)0.63454142
Kurtosis1.934155
Mean492936.83
Median Absolute Deviation (MAD)190184
Skewness1.1384354
Sum4.9293683 × 109
Variance9.7836857 × 1010
MonotonicityNot monotonic
2024-05-03T21:29:22.802742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
568585 2
 
< 0.1%
471954 2
 
< 0.1%
746303 2
 
< 0.1%
329576 2
 
< 0.1%
444262 2
 
< 0.1%
358053 2
 
< 0.1%
278186 2
 
< 0.1%
542127 2
 
< 0.1%
711751 2
 
< 0.1%
249589 2
 
< 0.1%
Other values (9935) 9980
99.8%
ValueCountFrequency (%)
0 2
< 0.1%
108 1
< 0.1%
111 1
< 0.1%
138 1
< 0.1%
141 1
< 0.1%
144 1
< 0.1%
156 2
< 0.1%
174 1
< 0.1%
192 1
< 0.1%
195 1
< 0.1%
ValueCountFrequency (%)
2247652 1
< 0.1%
2139710 1
< 0.1%
2122047 1
< 0.1%
2114598 1
< 0.1%
2113453 1
< 0.1%
2108173 1
< 0.1%
2105166 1
< 0.1%
2104165 1
< 0.1%
2103064 1
< 0.1%
1974337 1
< 0.1%
Distinct9949
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean544147.32
Minimum0
Maximum3244620
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:29:23.443716image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile107784.5
Q1311602
median483976.5
Q3727172.75
95-th percentile1164178.8
Maximum3244620
Range3244620
Interquartile range (IQR)415570.75

Descriptive statistics

Standard deviation339171.52
Coefficient of variation (CV)0.62330826
Kurtosis4.540939
Mean544147.32
Median Absolute Deviation (MAD)200231.5
Skewness1.4296284
Sum5.4414732 × 109
Variance1.1503732 × 1011
MonotonicityNot monotonic
2024-05-03T21:29:23.999669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
468093 2
 
< 0.1%
268679 2
 
< 0.1%
377940 2
 
< 0.1%
500360 2
 
< 0.1%
719959 2
 
< 0.1%
532527 2
 
< 0.1%
225487 2
 
< 0.1%
287184 2
 
< 0.1%
256135 2
 
< 0.1%
165567 2
 
< 0.1%
Other values (9939) 9980
99.8%
ValueCountFrequency (%)
0 1
< 0.1%
6 1
< 0.1%
300 1
< 0.1%
336 1
< 0.1%
405 1
< 0.1%
417 1
< 0.1%
441 1
< 0.1%
471 1
< 0.1%
474 1
< 0.1%
522 1
< 0.1%
ValueCountFrequency (%)
3244620 1
< 0.1%
3175696 1
< 0.1%
3141778 1
< 0.1%
3009147 1
< 0.1%
3007640 1
< 0.1%
2893696 1
< 0.1%
2858814 1
< 0.1%
2791485 1
< 0.1%
2787193 1
< 0.1%
2747763 1
< 0.1%
Distinct9958
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean543878.18
Minimum0
Maximum3363538
Zeros1
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:29:24.531875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile107525.2
Q1311551.5
median484705.5
Q3727657.75
95-th percentile1159838.5
Maximum3363538
Range3363538
Interquartile range (IQR)416106.25

Descriptive statistics

Standard deviation339098.85
Coefficient of variation (CV)0.62348308
Kurtosis5.1677225
Mean543878.18
Median Absolute Deviation (MAD)199762
Skewness1.4896028
Sum5.4387818 × 109
Variance1.1498803 × 1011
MonotonicityNot monotonic
2024-05-03T21:29:25.225356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
565261 2
 
< 0.1%
455714 2
 
< 0.1%
789803 2
 
< 0.1%
415150 2
 
< 0.1%
435272 2
 
< 0.1%
496887 2
 
< 0.1%
114702 2
 
< 0.1%
662453 2
 
< 0.1%
480241 2
 
< 0.1%
629974 2
 
< 0.1%
Other values (9948) 9980
99.8%
ValueCountFrequency (%)
0 1
< 0.1%
15 1
< 0.1%
315 1
< 0.1%
351 1
< 0.1%
426 1
< 0.1%
435 1
< 0.1%
459 1
< 0.1%
462 1
< 0.1%
480 1
< 0.1%
513 1
< 0.1%
ValueCountFrequency (%)
3363538 1
< 0.1%
3319638 1
< 0.1%
3303540 1
< 0.1%
3161951 1
< 0.1%
3036312 1
< 0.1%
3006591 1
< 0.1%
2894901 1
< 0.1%
2891761 1
< 0.1%
2880163 1
< 0.1%
2858890 1
< 0.1%
Distinct9960
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean544335.67
Minimum15
Maximum3402982
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:29:25.957729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15
5-th percentile107331.35
Q1312237.75
median485039.5
Q3728172.25
95-th percentile1160194.3
Maximum3402982
Range3402967
Interquartile range (IQR)415934.5

Descriptive statistics

Standard deviation339315.55
Coefficient of variation (CV)0.62335717
Kurtosis5.1349294
Mean544335.67
Median Absolute Deviation (MAD)199435.5
Skewness1.4857294
Sum5.4433567 × 109
Variance1.1513504 × 1011
MonotonicityNot monotonic
2024-05-03T21:29:26.523452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
366554 2
 
< 0.1%
801870 2
 
< 0.1%
93761 2
 
< 0.1%
55688 2
 
< 0.1%
494542 2
 
< 0.1%
525 2
 
< 0.1%
163541 2
 
< 0.1%
262462 2
 
< 0.1%
458187 2
 
< 0.1%
536116 2
 
< 0.1%
Other values (9950) 9980
99.8%
ValueCountFrequency (%)
15 1
< 0.1%
21 1
< 0.1%
321 1
< 0.1%
369 1
< 0.1%
414 1
< 0.1%
426 1
< 0.1%
438 1
< 0.1%
453 1
< 0.1%
489 1
< 0.1%
525 2
< 0.1%
ValueCountFrequency (%)
3402982 1
< 0.1%
3347280 1
< 0.1%
3302536 1
< 0.1%
3191121 1
< 0.1%
3038161 1
< 0.1%
3019374 1
< 0.1%
2884690 1
< 0.1%
2873565 1
< 0.1%
2857049 1
< 0.1%
2804741 1
< 0.1%
Distinct9944
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean543265.55
Minimum3
Maximum3391186
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:29:26.944983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile106843.8
Q1311278.75
median484133
Q3727070.25
95-th percentile1160285.6
Maximum3391186
Range3391183
Interquartile range (IQR)415791.5

Descriptive statistics

Standard deviation338687.69
Coefficient of variation (CV)0.62342935
Kurtosis5.2695593
Mean543265.55
Median Absolute Deviation (MAD)199004
Skewness1.4970622
Sum5.4326555 × 109
Variance1.1470935 × 1011
MonotonicityNot monotonic
2024-05-03T21:29:27.447978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
409401 2
 
< 0.1%
485686 2
 
< 0.1%
765367 2
 
< 0.1%
563568 2
 
< 0.1%
457563 2
 
< 0.1%
470124 2
 
< 0.1%
416254 2
 
< 0.1%
336873 2
 
< 0.1%
786472 2
 
< 0.1%
184386 2
 
< 0.1%
Other values (9934) 9980
99.8%
ValueCountFrequency (%)
3 1
< 0.1%
24 1
< 0.1%
318 1
< 0.1%
360 1
< 0.1%
429 1
< 0.1%
441 1
< 0.1%
456 1
< 0.1%
471 2
< 0.1%
519 1
< 0.1%
546 1
< 0.1%
ValueCountFrequency (%)
3391186 1
< 0.1%
3384749 1
< 0.1%
3317504 1
< 0.1%
3164477 1
< 0.1%
3119525 1
< 0.1%
3027804 1
< 0.1%
2959163 1
< 0.1%
2957277 1
< 0.1%
2843200 1
< 0.1%
2803563 1
< 0.1%
Distinct9949
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean541791.91
Minimum0
Maximum3276579
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:29:27.936903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile106125.1
Q1311015
median481636
Q3725205.25
95-th percentile1160874.6
Maximum3276579
Range3276579
Interquartile range (IQR)414190.25

Descriptive statistics

Standard deviation337311.51
Coefficient of variation (CV)0.622585
Kurtosis4.7190047
Mean541791.91
Median Absolute Deviation (MAD)198833
Skewness1.4444605
Sum5.4179191 × 109
Variance1.1377906 × 1011
MonotonicityNot monotonic
2024-05-03T21:29:28.638999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
515133 2
 
< 0.1%
549572 2
 
< 0.1%
692241 2
 
< 0.1%
420 2
 
< 0.1%
119601 2
 
< 0.1%
248284 2
 
< 0.1%
470160 2
 
< 0.1%
443860 2
 
< 0.1%
371621 2
 
< 0.1%
214870 2
 
< 0.1%
Other values (9939) 9980
99.8%
ValueCountFrequency (%)
0 2
< 0.1%
318 1
< 0.1%
342 1
< 0.1%
420 2
< 0.1%
453 1
< 0.1%
462 1
< 0.1%
468 1
< 0.1%
513 1
< 0.1%
519 1
< 0.1%
540 1
< 0.1%
ValueCountFrequency (%)
3276579 1
< 0.1%
3272411 1
< 0.1%
3166955 1
< 0.1%
3074819 1
< 0.1%
3032775 1
< 0.1%
2957761 1
< 0.1%
2922707 1
< 0.1%
2859054 1
< 0.1%
2707109 1
< 0.1%
2689039 1
< 0.1%
Distinct9950
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean544213.55
Minimum0
Maximum2505648
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:29:29.180428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile100381.45
Q1303866
median479426
Q3732440
95-th percentile1186338.1
Maximum2505648
Range2505648
Interquartile range (IQR)428574

Descriptive statistics

Standard deviation340768.9
Coefficient of variation (CV)0.62616761
Kurtosis1.9428265
Mean544213.55
Median Absolute Deviation (MAD)206582.5
Skewness1.1369195
Sum5.4421355 × 109
Variance1.1612344 × 1011
MonotonicityNot monotonic
2024-05-03T21:29:29.683529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
501154 2
 
< 0.1%
288116 2
 
< 0.1%
292345 2
 
< 0.1%
462806 2
 
< 0.1%
167875 2
 
< 0.1%
556612 2
 
< 0.1%
367617 2
 
< 0.1%
818862 2
 
< 0.1%
35886 2
 
< 0.1%
355955 2
 
< 0.1%
Other values (9940) 9980
99.8%
ValueCountFrequency (%)
0 2
< 0.1%
261 1
< 0.1%
288 1
< 0.1%
315 1
< 0.1%
333 1
< 0.1%
363 1
< 0.1%
390 1
< 0.1%
396 2
< 0.1%
432 1
< 0.1%
438 1
< 0.1%
ValueCountFrequency (%)
2505648 1
< 0.1%
2347760 1
< 0.1%
2347176 1
< 0.1%
2313081 1
< 0.1%
2311640 1
< 0.1%
2294276 1
< 0.1%
2281911 1
< 0.1%
2254341 1
< 0.1%
2246149 1
< 0.1%
2118484 1
< 0.1%
Distinct9947
Distinct (%)99.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean548994.28
Minimum0
Maximum2606611
Zeros2
Zeros (%)< 0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:29:30.160667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile99765.7
Q1303669.5
median486775.5
Q3743712.5
95-th percentile1202312.7
Maximum2606611
Range2606611
Interquartile range (IQR)440043

Descriptive statistics

Standard deviation346718.43
Coefficient of variation (CV)0.63155199
Kurtosis1.825739
Mean548994.28
Median Absolute Deviation (MAD)211784.5
Skewness1.1208423
Sum5.4899428 × 109
Variance1.2021367 × 1011
MonotonicityNot monotonic
2024-05-03T21:29:30.661583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
645596 2
 
< 0.1%
455196 2
 
< 0.1%
451178 2
 
< 0.1%
309272 2
 
< 0.1%
498189 2
 
< 0.1%
446529 2
 
< 0.1%
389314 2
 
< 0.1%
789809 2
 
< 0.1%
599094 2
 
< 0.1%
408588 2
 
< 0.1%
Other values (9937) 9980
99.8%
ValueCountFrequency (%)
0 2
< 0.1%
234 1
< 0.1%
279 1
< 0.1%
288 1
< 0.1%
297 1
< 0.1%
345 1
< 0.1%
360 1
< 0.1%
369 1
< 0.1%
387 1
< 0.1%
420 1
< 0.1%
ValueCountFrequency (%)
2606611 1
< 0.1%
2382648 1
< 0.1%
2276399 1
< 0.1%
2263946 1
< 0.1%
2258904 1
< 0.1%
2236001 1
< 0.1%
2231165 1
< 0.1%
2205286 1
< 0.1%
2200871 1
< 0.1%
2165573 1
< 0.1%

Sample

기준_년분기_코드상권_구분_코드상권_구분_코드_명상권배후지_코드상권배후지_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
2135020191A골목상권3110448상신초등학교입구282907513367781492298530043338323395027414477441967709235925168637479269687243891375736377115397340397837394222386803388434421489442951
674120222A골목상권3110887서울산업정보학교(서울삼성초등학교)23274351361028966408238425759412463260317803233100315436616247500737277536267190365052300674332634333691332036333225325032330463340355
1353220204A골목상권3110636방화역 2번285607213784141477658456716280623483557427439443393764345721231554607334787347566503731394148407171406166407670406096407519411828409620
992920213A골목상권3110969베르사이유1아파트326156316978951563668254962665628887154715227380935357656599548723565549860546511528299313780499289517557524076532340513903350520323878
1434920203A골목상권3110909남태령역(서울전자고등학교)30215216864513350639160722755121143617364375945570573698613798936898499003693043303437224362143740434624245441851
320720232A골목상권3110062한강로동땡땡거리(은행나무길)1571738770497801240196123239661327467284691226821296975325113324787223998231706293817172317224803228002230304230353228238219572210467
573920223A골목상권3110799영등포본동주민센터327533216389341636397375546379873554041481237600016884621944975666737344513348856529914440336464222453717449385447689452269492589515458
151220233A골목상권3110667가양역 10번225217810362351215942216494315253480097337453298130604750650181485036260485246038325886284551327719323725322973318427320069315497323768
350820231A골목상권3110850사당역 10번8229457397958942498688056271697689168177612046361092319174741020909331654369946295956291149362210879461148089116056511713341178593119564712168091158420
2147420191A골목상권3110324월곡역 4번3986382183814721482345796206768745542036045425645101006632897674806222496870517258745225523133562007563028566341566945567725580681579655
기준_년분기_코드상권_구분_코드상권_구분_코드_명상권배후지_코드상권배후지_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
920520214A골목상권3110603지향초등학교1382419646206736213329558139511199278223658206534283878413426301188145688132747189636199734199443201497200150199216198836187850195426
1395120204A골목상권3110217자동차부품상가41064541979536212691945206654181569875767641866658210708171064754852324501404504564672942510465591257586753587811586192582963584591586887
319620232A골목상권3110073삼각지역 3번222599311776371048357157923462889589458426366300647288712497036457400324116317995380472248975320750330504335284340337332362290008276748
1105320212A골목상권3110935한전아트센터1689728876393813336303132219396302143343092231985289981392396378318242419232373258409185814256135257502250700256898253862209759204874
217120233A골목상권3110008배화여자대학교(박노수미술관)351403314946022019431629943489970556665605970541641689845758526712581510018497046626609409252506783508567513239510221508583493554473086
942820214A골목상권3110380강북문화정보도서관241894411032951315649369836304205300962333478374901735561751706491796251817235211361406327005344582339159337256337070338176355325367377
667320222A골목상권3110955논현초등학교676833433298003438534418958159306218638771285005757386850048159262514673789223629119941105496768479995723101410910035899997571000913897891856351
864120221A골목상권3110077삼광초등학교301531714637221551595395372415478529191499337446822729116839791640275344484331517463686395561429753428334433361431208427029426108439524
46020234A골목상권3110629송정역 4번1760113864457895658204714305840344699272033242849389981458174373095214930206375289839217699250529247633247980246548251833257420258170
524920224A골목상권3110199홍릉시장3565118173577218293452775613628144223865061116028841393360793980749032511066515318592125403597507845508122505000506903512119519251505877