Overview

Dataset statistics

Number of variables29
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.5 MiB
Average record size in memory266.0 B

Variable types

Numeric25
Categorical3
Text1

Dataset

Description기준_년분기_코드,상권_구분_코드,상권_구분_코드_명,상권배후지_코드,상권배후지_코드_명,총_상주인구_수,남성_상주인구_수,여성_상주인구_수,연령대_10_상주인구_수,연령대_20_상주인구_수,연령대_30_상주인구_수,연령대_40_상주인구_수,연령대_50_상주인구_수,연령대_60_이상_상주인구_수,남성연령대_10_상주인구_수,남성연령대_20_상주인구_수,남성연령대_30_상주인구_수,남성연령대_40_상주인구_수,남성연령대_50_상주인구_수,남성연령대_60_이상_상주인구_수,여성연령대_10_상주인구_수,여성연령대_20_상주인구_수,여성연령대_30_상주인구_수,여성연령대_40_상주인구_수,여성연령대_50_상주인구_수,여성연령대_60_이상_상주인구_수,총_가구_수,아파트_가구_수,비_아파트_가구_수
Author서울신용보증재단
URLhttps://data.seoul.go.kr/dataList/OA-15583/S/1/datasetView.do

Alerts

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

Reproduction

Analysis started2024-05-04 04:47:51.818254
Analysis finished2024-05-04 04:47:53.072437
Duration1.25 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준_년분기_코드
Real number (ℝ)

Distinct17
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20216.156
Minimum20194
Maximum20234
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T04:47:53.234243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20194
5-th percentile20194
Q120204
median20214
Q320224
95-th percentile20234
Maximum20234
Range40
Interquartile range (IQR)20

Descriptive statistics

Standard deviation12.20666
Coefficient of variation (CV)0.0006038072
Kurtosis-1.1830145
Mean20216.156
Median Absolute Deviation (MAD)10
Skewness-0.082923518
Sum2.0216156 × 108
Variance149.00256
MonotonicityNot monotonic
2024-05-04T04:47:53.681778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
20223 623
 
6.2%
20204 609
 
6.1%
20214 605
 
6.0%
20213 599
 
6.0%
20234 597
 
6.0%
20222 594
 
5.9%
20232 590
 
5.9%
20194 586
 
5.9%
20224 584
 
5.8%
20231 583
 
5.8%
Other values (7) 4030
40.3%
ValueCountFrequency (%)
20194 586
5.9%
20201 576
5.8%
20202 581
5.8%
20203 578
5.8%
20204 609
6.1%
20211 582
5.8%
20212 563
5.6%
20213 599
6.0%
20214 605
6.0%
20221 572
5.7%
ValueCountFrequency (%)
20234 597
6.0%
20233 578
5.8%
20232 590
5.9%
20231 583
5.8%
20224 584
5.8%
20223 623
6.2%
20222 594
5.9%
20221 572
5.7%
20214 605
6.0%
20213 599
6.0%

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

2024-05-04T04:47:54.125149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:47:54.438005image/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

2024-05-04T04:47:54.800001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:47:55.218868image/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%
Mean3110544.1
Minimum3110001
Maximum3111090
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T04:47:55.680637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3110001
5-th percentile3110054
Q13110272
median3110542
Q33110816
95-th percentile3111038
Maximum3111090
Range1089
Interquartile range (IQR)544

Descriptive statistics

Standard deviation314.95256
Coefficient of variation (CV)0.00010125321
Kurtosis-1.1976008
Mean3110544.1
Median Absolute Deviation (MAD)272
Skewness0.010405967
Sum3.1105441 × 1010
Variance99195.116
MonotonicityNot monotonic
2024-05-04T04:47:56.187888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3110595 15
 
0.1%
3111068 15
 
0.1%
3110188 15
 
0.1%
3110649 14
 
0.1%
3110024 14
 
0.1%
3110360 14
 
0.1%
3110108 14
 
0.1%
3110955 14
 
0.1%
3110746 14
 
0.1%
3110102 14
 
0.1%
Other values (1080) 9857
98.6%
ValueCountFrequency (%)
3110001 10
0.1%
3110002 8
0.1%
3110003 11
0.1%
3110004 7
0.1%
3110005 11
0.1%
3110006 10
0.1%
3110007 8
0.1%
3110008 6
0.1%
3110009 7
0.1%
3110010 9
0.1%
ValueCountFrequency (%)
3111090 10
0.1%
3111089 10
0.1%
3111088 6
0.1%
3111087 7
0.1%
3111086 12
0.1%
3111085 9
0.1%
3111084 8
0.1%
3111083 10
0.1%
3111082 11
0.1%
3111081 9
0.1%
Distinct1090
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-04T04:47:56.974220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length7.4842
Min length2

Characters and Unicode

Total characters74842
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 row고척동성당
2nd row신길역 3번
3rd row거여초등학교
4th row아차산역 1번
5th row동대문역 3번
ValueCountFrequency (%)
1번 758
 
5.5%
2번 536
 
3.9%
3번 503
 
3.7%
4번 471
 
3.4%
5번 226
 
1.6%
6번 175
 
1.3%
7번 145
 
1.1%
8번 131
 
1.0%
연신내역 49
 
0.4%
내방역 48
 
0.3%
Other values (982) 10676
77.8%
2024-05-04T04:47:58.712285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3718
 
5.0%
3487
 
4.7%
3341
 
4.5%
2505
 
3.3%
2456
 
3.3%
2111
 
2.8%
1650
 
2.2%
1 1371
 
1.8%
1265
 
1.7%
1230
 
1.6%
Other values (391) 51708
69.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 64476
86.1%
Decimal Number 4533
 
6.1%
Space Separator 3718
 
5.0%
Open Punctuation 858
 
1.1%
Close Punctuation 858
 
1.1%
Uppercase Letter 341
 
0.5%
Other Punctuation 48
 
0.1%
Lowercase Letter 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3487
 
5.4%
3341
 
5.2%
2505
 
3.9%
2456
 
3.8%
2111
 
3.3%
1650
 
2.6%
1265
 
2.0%
1230
 
1.9%
1217
 
1.9%
1124
 
1.7%
Other values (361) 44090
68.4%
Uppercase Letter
ValueCountFrequency (%)
K 77
22.6%
T 43
12.6%
G 35
10.3%
I 30
 
8.8%
B 29
 
8.5%
C 28
 
8.2%
S 27
 
7.9%
N 19
 
5.6%
H 19
 
5.6%
M 11
 
3.2%
Other values (3) 23
 
6.7%
Decimal Number
ValueCountFrequency (%)
1 1371
30.2%
2 838
18.5%
3 682
15.0%
4 650
14.3%
5 314
 
6.9%
6 210
 
4.6%
7 156
 
3.4%
8 142
 
3.1%
9 119
 
2.6%
0 51
 
1.1%
Other Punctuation
ValueCountFrequency (%)
. 21
43.8%
& 14
29.2%
, 13
27.1%
Space Separator
ValueCountFrequency (%)
3718
100.0%
Open Punctuation
ValueCountFrequency (%)
( 858
100.0%
Close Punctuation
ValueCountFrequency (%)
) 858
100.0%
Lowercase Letter
ValueCountFrequency (%)
h 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 64476
86.1%
Common 10015
 
13.4%
Latin 351
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3487
 
5.4%
3341
 
5.2%
2505
 
3.9%
2456
 
3.8%
2111
 
3.3%
1650
 
2.6%
1265
 
2.0%
1230
 
1.9%
1217
 
1.9%
1124
 
1.7%
Other values (361) 44090
68.4%
Common
ValueCountFrequency (%)
3718
37.1%
1 1371
 
13.7%
( 858
 
8.6%
) 858
 
8.6%
2 838
 
8.4%
3 682
 
6.8%
4 650
 
6.5%
5 314
 
3.1%
6 210
 
2.1%
7 156
 
1.6%
Other values (6) 360
 
3.6%
Latin
ValueCountFrequency (%)
K 77
21.9%
T 43
12.3%
G 35
10.0%
I 30
 
8.5%
B 29
 
8.3%
C 28
 
8.0%
S 27
 
7.7%
N 19
 
5.4%
H 19
 
5.4%
M 11
 
3.1%
Other values (4) 33
9.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 64476
86.1%
ASCII 10366
 
13.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3718
35.9%
1 1371
 
13.2%
( 858
 
8.3%
) 858
 
8.3%
2 838
 
8.1%
3 682
 
6.6%
4 650
 
6.3%
5 314
 
3.0%
6 210
 
2.0%
7 156
 
1.5%
Other values (20) 711
 
6.9%
Hangul
ValueCountFrequency (%)
3487
 
5.4%
3341
 
5.2%
2505
 
3.9%
2456
 
3.8%
2111
 
3.3%
1650
 
2.6%
1265
 
2.0%
1230
 
1.9%
1217
 
1.9%
1124
 
1.7%
Other values (361) 44090
68.4%

총_상주인구_수
Real number (ℝ)

Distinct2982
Distinct (%)29.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13325.607
Minimum1
Maximum47137
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T04:47:59.429537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3623
Q18273
median12275
Q317688
95-th percentile26150
Maximum47137
Range47136
Interquartile range (IQR)9415

Descriptive statistics

Standard deviation6983.5169
Coefficient of variation (CV)0.52406747
Kurtosis0.90363967
Mean13325.607
Median Absolute Deviation (MAD)4566.5
Skewness0.79101795
Sum1.3325607 × 108
Variance48769508
MonotonicityNot monotonic
2024-05-04T04:48:00.024704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10403 13
 
0.1%
23889 12
 
0.1%
12890 12
 
0.1%
5543 12
 
0.1%
17711 11
 
0.1%
6926 11
 
0.1%
20308 11
 
0.1%
14277 11
 
0.1%
4825 11
 
0.1%
11467 11
 
0.1%
Other values (2972) 9885
98.9%
ValueCountFrequency (%)
1 9
0.1%
7 4
< 0.1%
106 3
 
< 0.1%
114 2
 
< 0.1%
155 2
 
< 0.1%
161 2
 
< 0.1%
291 2
 
< 0.1%
515 4
< 0.1%
551 3
 
< 0.1%
569 5
0.1%
ValueCountFrequency (%)
47137 5
0.1%
46161 3
< 0.1%
44775 3
< 0.1%
42750 1
 
< 0.1%
41215 4
< 0.1%
40791 2
 
< 0.1%
40494 3
< 0.1%
40483 4
< 0.1%
40202 3
< 0.1%
39879 6
0.1%

남성_상주인구_수
Real number (ℝ)

Distinct2830
Distinct (%)28.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6535.0058
Minimum1
Maximum22937
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T04:48:00.527739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1728
Q14054.75
median6004
Q38654.75
95-th percentile12830
Maximum22937
Range22936
Interquartile range (IQR)4600

Descriptive statistics

Standard deviation3435.1383
Coefficient of variation (CV)0.52565191
Kurtosis0.80268431
Mean6535.0058
Median Absolute Deviation (MAD)2241
Skewness0.77768576
Sum65350058
Variance11800175
MonotonicityNot monotonic
2024-05-04T04:48:01.007238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4286 16
 
0.2%
4640 15
 
0.1%
4172 15
 
0.1%
8246 14
 
0.1%
6231 13
 
0.1%
5218 12
 
0.1%
5423 12
 
0.1%
4852 12
 
0.1%
10163 12
 
0.1%
3285 12
 
0.1%
Other values (2820) 9867
98.7%
ValueCountFrequency (%)
1 9
0.1%
6 4
< 0.1%
56 3
 
< 0.1%
64 2
 
< 0.1%
85 2
 
< 0.1%
112 2
 
< 0.1%
149 2
 
< 0.1%
227 3
 
< 0.1%
236 3
 
< 0.1%
238 5
0.1%
ValueCountFrequency (%)
22937 5
0.1%
22563 3
< 0.1%
21786 3
< 0.1%
20883 1
 
< 0.1%
20167 2
 
< 0.1%
20073 4
< 0.1%
19683 4
< 0.1%
19620 3
< 0.1%
19565 3
< 0.1%
19342 6
0.1%

여성_상주인구_수
Real number (ℝ)

Distinct2817
Distinct (%)28.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6790.6008
Minimum0
Maximum24200
Zeros9
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T04:48:01.469741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1832
Q14219.25
median6279
Q38959
95-th percentile13352.05
Maximum24200
Range24200
Interquartile range (IQR)4739.75

Descriptive statistics

Standard deviation3564.3882
Coefficient of variation (CV)0.52490027
Kurtosis1.0203394
Mean6790.6008
Median Absolute Deviation (MAD)2319
Skewness0.81323314
Sum67906008
Variance12704863
MonotonicityNot monotonic
2024-05-04T04:48:01.882957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4584 18
 
0.2%
5030 14
 
0.1%
6680 13
 
0.1%
5058 13
 
0.1%
7933 12
 
0.1%
7852 12
 
0.1%
10007 12
 
0.1%
4392 12
 
0.1%
10879 12
 
0.1%
4659 12
 
0.1%
Other values (2807) 9870
98.7%
ValueCountFrequency (%)
0 9
0.1%
1 4
< 0.1%
43 2
 
< 0.1%
50 5
0.1%
76 2
 
< 0.1%
142 2
 
< 0.1%
237 4
< 0.1%
311 4
< 0.1%
324 3
 
< 0.1%
331 5
0.1%
ValueCountFrequency (%)
24200 5
0.1%
23598 3
< 0.1%
22989 3
< 0.1%
21867 1
 
< 0.1%
21142 4
< 0.1%
20929 3
< 0.1%
20800 4
< 0.1%
20624 2
 
< 0.1%
20582 3
< 0.1%
20537 6
0.1%
Distinct2060
Distinct (%)20.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1637.9434
Minimum0
Maximum6493
Zeros13
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T04:48:02.487047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile340.95
Q1936.75
median1474
Q32194
95-th percentile3402.25
Maximum6493
Range6493
Interquartile range (IQR)1257.25

Descriptive statistics

Standard deviation963.24245
Coefficient of variation (CV)0.58808043
Kurtosis1.443321
Mean1637.9434
Median Absolute Deviation (MAD)620
Skewness0.99124498
Sum16379434
Variance927836.02
MonotonicityNot monotonic
2024-05-04T04:48:03.029727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1818 23
 
0.2%
2136 23
 
0.2%
1241 21
 
0.2%
1072 21
 
0.2%
1307 21
 
0.2%
1330 20
 
0.2%
1128 19
 
0.2%
940 18
 
0.2%
1483 18
 
0.2%
1628 18
 
0.2%
Other values (2050) 9798
98.0%
ValueCountFrequency (%)
0 13
0.1%
4 2
 
< 0.1%
7 2
 
< 0.1%
18 3
 
< 0.1%
23 3
 
< 0.1%
26 2
 
< 0.1%
29 4
 
< 0.1%
32 2
 
< 0.1%
34 1
 
< 0.1%
39 9
0.1%
ValueCountFrequency (%)
6493 3
< 0.1%
6443 3
< 0.1%
6280 5
0.1%
6084 3
< 0.1%
6012 3
< 0.1%
5671 1
 
< 0.1%
5547 2
 
< 0.1%
5493 3
< 0.1%
5445 2
 
< 0.1%
5349 5
0.1%
Distinct2111
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1952.1169
Minimum0
Maximum9564
Zeros13
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T04:48:03.540162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile441
Q11115
median1718
Q32563
95-th percentile4121
Maximum9564
Range9564
Interquartile range (IQR)1448

Descriptive statistics

Standard deviation1202.9481
Coefficient of variation (CV)0.61622747
Kurtosis3.4821886
Mean1952.1169
Median Absolute Deviation (MAD)690.5
Skewness1.3887921
Sum19521169
Variance1447084
MonotonicityNot monotonic
2024-05-04T04:48:04.149087image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1815 23
 
0.2%
1109 22
 
0.2%
1577 22
 
0.2%
1871 20
 
0.2%
1760 20
 
0.2%
2311 20
 
0.2%
1284 19
 
0.2%
2328 19
 
0.2%
2630 18
 
0.2%
1228 18
 
0.2%
Other values (2101) 9799
98.0%
ValueCountFrequency (%)
0 13
0.1%
3 2
 
< 0.1%
4 2
 
< 0.1%
6 3
 
< 0.1%
19 2
 
< 0.1%
20 4
 
< 0.1%
31 2
 
< 0.1%
37 4
 
< 0.1%
58 3
 
< 0.1%
71 3
 
< 0.1%
ValueCountFrequency (%)
9564 6
0.1%
8840 3
< 0.1%
8642 5
0.1%
8267 1
 
< 0.1%
7971 4
< 0.1%
7835 4
< 0.1%
7777 5
0.1%
7629 3
< 0.1%
6992 4
< 0.1%
6988 1
 
< 0.1%
Distinct2215
Distinct (%)22.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2111.7876
Minimum0
Maximum8664
Zeros9
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T04:48:04.765410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile536
Q11259
median1899
Q32745
95-th percentile4349
Maximum8664
Range8664
Interquartile range (IQR)1486

Descriptive statistics

Standard deviation1213.4443
Coefficient of variation (CV)0.57460526
Kurtosis2.3301433
Mean2111.7876
Median Absolute Deviation (MAD)719
Skewness1.1778359
Sum21117876
Variance1472447
MonotonicityNot monotonic
2024-05-04T04:48:05.326809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2564 23
 
0.2%
1580 22
 
0.2%
1497 20
 
0.2%
1975 20
 
0.2%
1728 18
 
0.2%
1281 18
 
0.2%
2156 17
 
0.2%
1292 16
 
0.2%
2036 16
 
0.2%
1178 16
 
0.2%
Other values (2205) 9814
98.1%
ValueCountFrequency (%)
0 9
0.1%
1 4
< 0.1%
10 2
 
< 0.1%
11 3
 
< 0.1%
16 2
 
< 0.1%
19 2
 
< 0.1%
49 2
 
< 0.1%
89 3
 
< 0.1%
94 3
 
< 0.1%
104 3
 
< 0.1%
ValueCountFrequency (%)
8664 5
0.1%
8640 1
 
< 0.1%
8471 3
< 0.1%
7994 3
< 0.1%
7877 3
< 0.1%
7784 1
 
< 0.1%
7746 4
< 0.1%
7531 2
 
< 0.1%
7421 3
< 0.1%
7346 3
< 0.1%
Distinct2166
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2054.8084
Minimum0
Maximum9000
Zeros9
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T04:48:05.850166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile529
Q11230.75
median1887
Q32717
95-th percentile4055
Maximum9000
Range9000
Interquartile range (IQR)1486.25

Descriptive statistics

Standard deviation1116.4777
Coefficient of variation (CV)0.54334883
Kurtosis1.7692461
Mean2054.8084
Median Absolute Deviation (MAD)723
Skewness0.97142021
Sum20548084
Variance1246522.5
MonotonicityNot monotonic
2024-05-04T04:48:06.356294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1210 24
 
0.2%
2235 23
 
0.2%
2028 23
 
0.2%
1946 21
 
0.2%
1419 20
 
0.2%
1669 19
 
0.2%
1434 19
 
0.2%
1775 19
 
0.2%
2177 19
 
0.2%
1344 18
 
0.2%
Other values (2156) 9795
98.0%
ValueCountFrequency (%)
0 9
0.1%
2 4
< 0.1%
7 2
 
< 0.1%
11 2
 
< 0.1%
17 2
 
< 0.1%
21 3
 
< 0.1%
38 2
 
< 0.1%
55 3
 
< 0.1%
57 3
 
< 0.1%
72 4
< 0.1%
ValueCountFrequency (%)
9000 3
< 0.1%
7976 4
< 0.1%
7393 5
0.1%
7336 3
< 0.1%
7229 2
 
< 0.1%
7212 3
< 0.1%
6923 2
 
< 0.1%
6749 3
< 0.1%
6703 3
< 0.1%
6467 3
< 0.1%
Distinct2235
Distinct (%)22.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2136.2699
Minimum0
Maximum6917
Zeros13
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T04:48:06.802261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile536
Q11294
median1949
Q32842
95-th percentile4281
Maximum6917
Range6917
Interquartile range (IQR)1548

Descriptive statistics

Standard deviation1166.4268
Coefficient of variation (CV)0.54601099
Kurtosis0.5253081
Mean2136.2699
Median Absolute Deviation (MAD)747
Skewness0.7643552
Sum21362699
Variance1360551.6
MonotonicityNot monotonic
2024-05-04T04:48:07.315131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1785 25
 
0.2%
1408 20
 
0.2%
2490 19
 
0.2%
1349 17
 
0.2%
1454 17
 
0.2%
1215 17
 
0.2%
2348 16
 
0.2%
2036 16
 
0.2%
1866 16
 
0.2%
1679 16
 
0.2%
Other values (2225) 9821
98.2%
ValueCountFrequency (%)
0 13
0.1%
15 3
 
< 0.1%
20 2
 
< 0.1%
23 2
 
< 0.1%
26 2
 
< 0.1%
34 2
 
< 0.1%
52 3
 
< 0.1%
55 5
 
0.1%
63 3
 
< 0.1%
72 4
 
< 0.1%
ValueCountFrequency (%)
6917 5
0.1%
6717 2
 
< 0.1%
6651 3
< 0.1%
6570 3
< 0.1%
6541 3
< 0.1%
6462 1
 
< 0.1%
6328 6
0.1%
6111 3
< 0.1%
6042 2
 
< 0.1%
6011 3
< 0.1%
Distinct2539
Distinct (%)25.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3432.6804
Minimum1
Maximum12156
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T04:48:07.742469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile880
Q11989
median3097
Q34633
95-th percentile6990
Maximum12156
Range12155
Interquartile range (IQR)2644

Descriptive statistics

Standard deviation1910.7477
Coefficient of variation (CV)0.55663432
Kurtosis0.4491779
Mean3432.6804
Median Absolute Deviation (MAD)1285.5
Skewness0.77394848
Sum34326804
Variance3650956.9
MonotonicityNot monotonic
2024-05-04T04:48:08.232933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2174 19
 
0.2%
6282 18
 
0.2%
3004 16
 
0.2%
2900 15
 
0.1%
3218 15
 
0.1%
4025 15
 
0.1%
5284 15
 
0.1%
2537 15
 
0.1%
2385 14
 
0.1%
2082 14
 
0.1%
Other values (2529) 9844
98.4%
ValueCountFrequency (%)
1 9
0.1%
4 4
< 0.1%
35 3
 
< 0.1%
52 2
 
< 0.1%
54 2
 
< 0.1%
82 3
 
< 0.1%
94 5
0.1%
118 5
0.1%
125 2
 
< 0.1%
147 6
0.1%
ValueCountFrequency (%)
12156 2
 
< 0.1%
11871 3
< 0.1%
11308 4
< 0.1%
10836 3
< 0.1%
10473 3
< 0.1%
10263 2
 
< 0.1%
10191 3
< 0.1%
10115 2
 
< 0.1%
10106 5
0.1%
10002 2
 
< 0.1%
Distinct1495
Distinct (%)14.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean840.0143
Minimum0
Maximum3548
Zeros13
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T04:48:08.655228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile173.95
Q1477
median756
Q31124
95-th percentile1753
Maximum3548
Range3548
Interquartile range (IQR)647

Descriptive statistics

Standard deviation494.08844
Coefficient of variation (CV)0.58819051
Kurtosis1.5084239
Mean840.0143
Median Absolute Deviation (MAD)315
Skewness0.99592601
Sum8400143
Variance244123.38
MonotonicityNot monotonic
2024-05-04T04:48:09.132096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
573 34
 
0.3%
576 27
 
0.3%
368 26
 
0.3%
712 26
 
0.3%
432 23
 
0.2%
500 23
 
0.2%
781 23
 
0.2%
752 22
 
0.2%
280 22
 
0.2%
769 22
 
0.2%
Other values (1485) 9752
97.5%
ValueCountFrequency (%)
0 13
0.1%
2 2
 
< 0.1%
5 2
 
< 0.1%
8 3
 
< 0.1%
14 12
0.1%
15 3
 
< 0.1%
21 4
 
< 0.1%
23 5
 
0.1%
24 3
 
< 0.1%
27 8
0.1%
ValueCountFrequency (%)
3548 3
< 0.1%
3320 3
< 0.1%
3295 3
< 0.1%
3282 5
0.1%
3118 3
< 0.1%
2786 3
< 0.1%
2755 4
< 0.1%
2722 5
0.1%
2718 1
 
< 0.1%
2714 4
< 0.1%
Distinct1565
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean957.8552
Minimum0
Maximum4083
Zeros13
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T04:48:09.569033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile215
Q1550
median854
Q31267.25
95-th percentile2005
Maximum4083
Range4083
Interquartile range (IQR)717.25

Descriptive statistics

Standard deviation577.36047
Coefficient of variation (CV)0.60276383
Kurtosis2.795182
Mean957.8552
Median Absolute Deviation (MAD)342
Skewness1.2688181
Sum9578552
Variance333345.11
MonotonicityNot monotonic
2024-05-04T04:48:10.030785image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
914 39
 
0.4%
687 29
 
0.3%
669 27
 
0.3%
463 27
 
0.3%
997 26
 
0.3%
1565 25
 
0.2%
721 24
 
0.2%
647 23
 
0.2%
1046 23
 
0.2%
898 23
 
0.2%
Other values (1555) 9734
97.3%
ValueCountFrequency (%)
0 13
0.1%
1 4
 
< 0.1%
3 3
 
< 0.1%
11 2
 
< 0.1%
12 4
 
< 0.1%
21 12
0.1%
29 2
 
< 0.1%
34 2
 
< 0.1%
38 8
0.1%
39 1
 
< 0.1%
ValueCountFrequency (%)
4083 5
0.1%
4047 6
0.1%
3930 3
< 0.1%
3841 1
 
< 0.1%
3801 6
0.1%
3766 3
< 0.1%
3709 5
0.1%
3585 4
< 0.1%
3385 3
< 0.1%
3369 3
< 0.1%
Distinct1658
Distinct (%)16.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1074.2752
Minimum0
Maximum4597
Zeros9
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T04:48:10.469908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile256
Q1634
median964.5
Q31396
95-th percentile2209.1
Maximum4597
Range4597
Interquartile range (IQR)762

Descriptive statistics

Standard deviation628.7642
Coefficient of variation (CV)0.58529156
Kurtosis2.5003466
Mean1074.2752
Median Absolute Deviation (MAD)369.5
Skewness1.2171668
Sum10742752
Variance395344.42
MonotonicityNot monotonic
2024-05-04T04:48:10.975391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
882 27
 
0.3%
829 25
 
0.2%
728 24
 
0.2%
862 24
 
0.2%
1144 24
 
0.2%
681 23
 
0.2%
632 23
 
0.2%
605 23
 
0.2%
614 23
 
0.2%
988 22
 
0.2%
Other values (1648) 9762
97.6%
ValueCountFrequency (%)
0 9
0.1%
1 4
< 0.1%
7 2
 
< 0.1%
9 3
 
< 0.1%
10 2
 
< 0.1%
11 2
 
< 0.1%
24 2
 
< 0.1%
39 3
 
< 0.1%
41 3
 
< 0.1%
50 6
0.1%
ValueCountFrequency (%)
4597 1
 
< 0.1%
4577 5
0.1%
4442 3
< 0.1%
4393 3
< 0.1%
4120 4
< 0.1%
3969 1
 
< 0.1%
3889 3
< 0.1%
3850 3
< 0.1%
3802 3
< 0.1%
3782 2
 
< 0.1%
Distinct1596
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1041.6886
Minimum0
Maximum4663
Zeros9
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T04:48:11.582651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile270
Q1623
median958
Q31371
95-th percentile2092.15
Maximum4663
Range4663
Interquartile range (IQR)748

Descriptive statistics

Standard deviation569.5204
Coefficient of variation (CV)0.54672807
Kurtosis1.7895597
Mean1041.6886
Median Absolute Deviation (MAD)366
Skewness0.97447296
Sum10416886
Variance324353.48
MonotonicityNot monotonic
2024-05-04T04:48:12.024398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1132 28
 
0.3%
1347 26
 
0.3%
860 24
 
0.2%
347 24
 
0.2%
980 24
 
0.2%
829 23
 
0.2%
603 23
 
0.2%
960 23
 
0.2%
990 22
 
0.2%
676 21
 
0.2%
Other values (1586) 9762
97.6%
ValueCountFrequency (%)
0 9
0.1%
2 4
< 0.1%
4 2
 
< 0.1%
6 2
 
< 0.1%
8 2
 
< 0.1%
11 3
 
< 0.1%
17 2
 
< 0.1%
25 3
 
< 0.1%
28 3
 
< 0.1%
32 5
0.1%
ValueCountFrequency (%)
4663 3
< 0.1%
4094 4
< 0.1%
3915 2
 
< 0.1%
3772 5
0.1%
3738 3
< 0.1%
3672 3
< 0.1%
3485 3
< 0.1%
3442 2
 
< 0.1%
3271 6
0.1%
3255 3
< 0.1%
Distinct1632
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1055.2053
Minimum0
Maximum3244
Zeros13
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T04:48:12.428224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile270
Q1641
median970
Q31402
95-th percentile2133
Maximum3244
Range3244
Interquartile range (IQR)761

Descriptive statistics

Standard deviation572.89621
Coefficient of variation (CV)0.54292393
Kurtosis0.40786848
Mean1055.2053
Median Absolute Deviation (MAD)370
Skewness0.74079087
Sum10552053
Variance328210.06
MonotonicityNot monotonic
2024-05-04T04:48:12.791544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
729 31
 
0.3%
568 26
 
0.3%
860 26
 
0.3%
388 25
 
0.2%
995 24
 
0.2%
882 24
 
0.2%
677 24
 
0.2%
724 23
 
0.2%
1338 23
 
0.2%
973 23
 
0.2%
Other values (1622) 9751
97.5%
ValueCountFrequency (%)
0 13
0.1%
9 3
 
< 0.1%
13 2
 
< 0.1%
15 2
 
< 0.1%
16 2
 
< 0.1%
17 2
 
< 0.1%
26 3
 
< 0.1%
32 5
 
0.1%
34 3
 
< 0.1%
38 2
 
< 0.1%
ValueCountFrequency (%)
3244 3
< 0.1%
3234 2
 
< 0.1%
3186 5
0.1%
3150 3
< 0.1%
3099 3
< 0.1%
3087 6
0.1%
3062 1
 
< 0.1%
3047 4
< 0.1%
2975 3
< 0.1%
2943 3
< 0.1%
Distinct2005
Distinct (%)20.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1565.9672
Minimum1
Maximum5595
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T04:48:13.260117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile400
Q1915
median1406
Q32100
95-th percentile3191.35
Maximum5595
Range5594
Interquartile range (IQR)1185

Descriptive statistics

Standard deviation874.39584
Coefficient of variation (CV)0.5583743
Kurtosis0.48530812
Mean1565.9672
Median Absolute Deviation (MAD)576
Skewness0.79629716
Sum15659672
Variance764568.08
MonotonicityNot monotonic
2024-05-04T04:48:13.656892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1214 21
 
0.2%
1110 21
 
0.2%
1033 21
 
0.2%
647 20
 
0.2%
1090 20
 
0.2%
1258 20
 
0.2%
794 19
 
0.2%
1369 19
 
0.2%
1353 19
 
0.2%
1256 19
 
0.2%
Other values (1995) 9801
98.0%
ValueCountFrequency (%)
1 9
0.1%
3 4
< 0.1%
16 3
 
< 0.1%
27 2
 
< 0.1%
28 2
 
< 0.1%
37 3
 
< 0.1%
41 3
 
< 0.1%
48 2
 
< 0.1%
53 5
0.1%
65 2
 
< 0.1%
ValueCountFrequency (%)
5595 2
< 0.1%
5259 3
< 0.1%
5072 4
< 0.1%
4927 3
< 0.1%
4879 3
< 0.1%
4817 2
< 0.1%
4705 2
< 0.1%
4604 2
< 0.1%
4578 4
< 0.1%
4540 3
< 0.1%
Distinct1443
Distinct (%)14.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean797.9291
Minimum0
Maximum3123
Zeros13
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T04:48:13.994710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile168
Q1454
median717.5
Q31071
95-th percentile1650
Maximum3123
Range3123
Interquartile range (IQR)617

Descriptive statistics

Standard deviation471.21278
Coefficient of variation (CV)0.59054468
Kurtosis1.4390569
Mean797.9291
Median Absolute Deviation (MAD)303.5
Skewness0.99972803
Sum7979291
Variance222041.49
MonotonicityNot monotonic
2024-05-04T04:48:14.392614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
856 40
 
0.4%
436 28
 
0.3%
1140 27
 
0.3%
411 26
 
0.3%
557 25
 
0.2%
500 25
 
0.2%
764 25
 
0.2%
408 25
 
0.2%
751 24
 
0.2%
534 24
 
0.2%
Other values (1433) 9731
97.3%
ValueCountFrequency (%)
0 13
0.1%
2 6
0.1%
9 3
 
< 0.1%
10 3
 
< 0.1%
11 2
 
< 0.1%
15 4
 
< 0.1%
16 3
 
< 0.1%
18 4
 
< 0.1%
19 3
 
< 0.1%
22 3
 
< 0.1%
ValueCountFrequency (%)
3123 3
< 0.1%
2998 5
0.1%
2953 1
 
< 0.1%
2945 3
< 0.1%
2894 3
< 0.1%
2792 2
 
< 0.1%
2789 3
< 0.1%
2788 6
0.1%
2707 3
< 0.1%
2690 2
 
< 0.1%
Distinct1627
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean994.2617
Minimum0
Maximum5517
Zeros13
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T04:48:14.816668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile219
Q1553
median859
Q31283
95-th percentile2165
Maximum5517
Range5517
Interquartile range (IQR)730

Descriptive statistics

Standard deviation639.49944
Coefficient of variation (CV)0.64319026
Kurtosis4.6217371
Mean994.2617
Median Absolute Deviation (MAD)354
Skewness1.5832988
Sum9942617
Variance408959.54
MonotonicityNot monotonic
2024-05-04T04:48:15.155030image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
241 28
 
0.3%
534 26
 
0.3%
645 25
 
0.2%
698 24
 
0.2%
831 23
 
0.2%
592 22
 
0.2%
772 22
 
0.2%
867 22
 
0.2%
999 21
 
0.2%
708 21
 
0.2%
Other values (1617) 9766
97.7%
ValueCountFrequency (%)
0 13
0.1%
2 4
 
< 0.1%
3 5
 
0.1%
8 6
0.1%
16 4
 
< 0.1%
31 3
 
< 0.1%
37 3
 
< 0.1%
38 3
 
< 0.1%
39 8
0.1%
41 2
 
< 0.1%
ValueCountFrequency (%)
5517 6
0.1%
5074 3
< 0.1%
4559 5
0.1%
4498 4
< 0.1%
4426 1
 
< 0.1%
4386 4
< 0.1%
4244 3
< 0.1%
4068 5
0.1%
3899 3
< 0.1%
3766 4
< 0.1%
Distinct1631
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1037.5124
Minimum0
Maximum4144
Zeros13
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T04:48:15.580728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile268
Q1617.75
median941
Q31342
95-th percentile2113
Maximum4144
Range4144
Interquartile range (IQR)724.25

Descriptive statistics

Standard deviation596.60964
Coefficient of variation (CV)0.57503857
Kurtosis2.5094305
Mean1037.5124
Median Absolute Deviation (MAD)358
Skewness1.2113729
Sum10375124
Variance355943.07
MonotonicityNot monotonic
2024-05-04T04:48:16.049202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1004 33
 
0.3%
1143 28
 
0.3%
884 27
 
0.3%
728 26
 
0.3%
644 23
 
0.2%
896 23
 
0.2%
686 23
 
0.2%
559 23
 
0.2%
412 22
 
0.2%
788 22
 
0.2%
Other values (1621) 9750
97.5%
ValueCountFrequency (%)
0 13
0.1%
2 3
 
< 0.1%
3 2
 
< 0.1%
5 2
 
< 0.1%
9 2
 
< 0.1%
25 2
 
< 0.1%
43 3
 
< 0.1%
44 4
 
< 0.1%
47 3
 
< 0.1%
48 5
 
0.1%
ValueCountFrequency (%)
4144 3
< 0.1%
4087 5
0.1%
4043 1
 
< 0.1%
4029 3
< 0.1%
3988 3
< 0.1%
3815 1
 
< 0.1%
3749 2
 
< 0.1%
3726 3
< 0.1%
3704 2
 
< 0.1%
3684 3
< 0.1%
Distinct1596
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1013.1198
Minimum0
Maximum4337
Zeros13
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T04:48:16.568033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile254.95
Q1614
median927
Q31339
95-th percentile2022
Maximum4337
Range4337
Interquartile range (IQR)725

Descriptive statistics

Standard deviation554.35172
Coefficient of variation (CV)0.54717292
Kurtosis1.8072128
Mean1013.1198
Median Absolute Deviation (MAD)356
Skewness0.99441444
Sum10131198
Variance307305.83
MonotonicityNot monotonic
2024-05-04T04:48:17.114323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
637 30
 
0.3%
852 29
 
0.3%
758 28
 
0.3%
1409 26
 
0.3%
978 24
 
0.2%
1274 24
 
0.2%
699 23
 
0.2%
951 22
 
0.2%
498 22
 
0.2%
561 22
 
0.2%
Other values (1586) 9750
97.5%
ValueCountFrequency (%)
0 13
0.1%
3 2
 
< 0.1%
5 2
 
< 0.1%
9 2
 
< 0.1%
10 3
 
< 0.1%
21 2
 
< 0.1%
27 3
 
< 0.1%
29 4
 
< 0.1%
32 3
 
< 0.1%
36 4
 
< 0.1%
ValueCountFrequency (%)
4337 3
< 0.1%
3882 4
< 0.1%
3621 5
0.1%
3598 3
< 0.1%
3540 3
< 0.1%
3481 2
 
< 0.1%
3478 3
< 0.1%
3314 2
 
< 0.1%
3289 3
< 0.1%
3218 3
< 0.1%
Distinct1677
Distinct (%)16.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1081.0646
Minimum0
Maximum3731
Zeros13
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T04:48:17.707806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile254
Q1644
median986
Q31439
95-th percentile2179
Maximum3731
Range3731
Interquartile range (IQR)795

Descriptive statistics

Standard deviation598.64711
Coefficient of variation (CV)0.55375702
Kurtosis0.69836434
Mean1081.0646
Median Absolute Deviation (MAD)385
Skewness0.8058724
Sum10810646
Variance358378.36
MonotonicityNot monotonic
2024-05-04T04:48:18.224612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
926 27
 
0.3%
877 25
 
0.2%
800 24
 
0.2%
1117 22
 
0.2%
635 21
 
0.2%
514 21
 
0.2%
723 21
 
0.2%
641 20
 
0.2%
924 20
 
0.2%
709 20
 
0.2%
Other values (1667) 9779
97.8%
ValueCountFrequency (%)
0 13
0.1%
6 3
 
< 0.1%
7 2
 
< 0.1%
8 2
 
< 0.1%
10 2
 
< 0.1%
17 2
 
< 0.1%
23 5
 
0.1%
26 3
 
< 0.1%
28 4
 
< 0.1%
29 3
 
< 0.1%
ValueCountFrequency (%)
3731 5
0.1%
3566 3
< 0.1%
3483 2
 
< 0.1%
3420 3
< 0.1%
3407 3
< 0.1%
3400 1
 
< 0.1%
3332 3
< 0.1%
3241 6
0.1%
3149 2
 
< 0.1%
3136 4
< 0.1%
Distinct2162
Distinct (%)21.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1866.7132
Minimum0
Maximum6612
Zeros9
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T04:48:18.746803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile470
Q11073.75
median1682
Q32518
95-th percentile3790
Maximum6612
Range6612
Interquartile range (IQR)1444.25

Descriptive statistics

Standard deviation1040.7194
Coefficient of variation (CV)0.55751435
Kurtosis0.44405599
Mean1866.7132
Median Absolute Deviation (MAD)702
Skewness0.76269775
Sum18667132
Variance1083096.8
MonotonicityNot monotonic
2024-05-04T04:48:19.463378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1657 23
 
0.2%
814 20
 
0.2%
1744 19
 
0.2%
1598 19
 
0.2%
2192 19
 
0.2%
1548 19
 
0.2%
999 18
 
0.2%
1675 17
 
0.2%
1952 17
 
0.2%
1463 17
 
0.2%
Other values (2152) 9812
98.1%
ValueCountFrequency (%)
0 9
0.1%
1 4
< 0.1%
19 3
 
< 0.1%
25 2
 
< 0.1%
26 2
 
< 0.1%
45 3
 
< 0.1%
46 2
 
< 0.1%
53 3
 
< 0.1%
60 2
 
< 0.1%
65 5
0.1%
ValueCountFrequency (%)
6612 3
< 0.1%
6561 2
 
< 0.1%
6236 4
< 0.1%
5957 3
< 0.1%
5695 5
0.1%
5651 3
< 0.1%
5546 3
< 0.1%
5499 2
 
< 0.1%
5456 4
< 0.1%
5446 2
 
< 0.1%

총_가구_수
Real number (ℝ)

Distinct2456
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6420.7315
Minimum1
Maximum22174
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T04:48:20.112866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1900
Q13971
median5837
Q38560
95-th percentile12581
Maximum22174
Range22173
Interquartile range (IQR)4589

Descriptive statistics

Standard deviation3404.6701
Coefficient of variation (CV)0.53026203
Kurtosis1.0585242
Mean6420.7315
Median Absolute Deviation (MAD)2190
Skewness0.85632815
Sum64207315
Variance11591779
MonotonicityNot monotonic
2024-05-04T04:48:21.137046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3484 23
 
0.2%
5264 23
 
0.2%
11393 18
 
0.2%
2106 18
 
0.2%
4003 18
 
0.2%
7727 18
 
0.2%
4374 17
 
0.2%
4393 17
 
0.2%
4366 17
 
0.2%
7571 17
 
0.2%
Other values (2446) 9814
98.1%
ValueCountFrequency (%)
1 12
0.1%
7 1
 
< 0.1%
55 4
 
< 0.1%
58 1
 
< 0.1%
59 2
 
< 0.1%
138 2
 
< 0.1%
296 8
0.1%
314 1
 
< 0.1%
343 1
 
< 0.1%
355 2
 
< 0.1%
ValueCountFrequency (%)
22174 7
0.1%
21325 8
0.1%
21063 1
 
< 0.1%
20710 5
0.1%
20194 3
 
< 0.1%
20161 3
 
< 0.1%
19545 8
0.1%
18993 3
 
< 0.1%
18881 1
 
< 0.1%
18311 6
0.1%

아파트_가구_수
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
0
10000 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 10000
100.0%

Length

2024-05-04T04:48:21.681310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T04:48:22.162807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 10000
100.0%

비_아파트_가구_수
Real number (ℝ)

Distinct2456
Distinct (%)24.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6420.7315
Minimum1
Maximum22174
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T04:48:22.689879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1900
Q13971
median5837
Q38560
95-th percentile12581
Maximum22174
Range22173
Interquartile range (IQR)4589

Descriptive statistics

Standard deviation3404.6701
Coefficient of variation (CV)0.53026203
Kurtosis1.0585242
Mean6420.7315
Median Absolute Deviation (MAD)2190
Skewness0.85632815
Sum64207315
Variance11591779
MonotonicityNot monotonic
2024-05-04T04:48:23.501196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3484 23
 
0.2%
5264 23
 
0.2%
11393 18
 
0.2%
2106 18
 
0.2%
4003 18
 
0.2%
7727 18
 
0.2%
4374 17
 
0.2%
4393 17
 
0.2%
4366 17
 
0.2%
7571 17
 
0.2%
Other values (2446) 9814
98.1%
ValueCountFrequency (%)
1 12
0.1%
7 1
 
< 0.1%
55 4
 
< 0.1%
58 1
 
< 0.1%
59 2
 
< 0.1%
138 2
 
< 0.1%
296 8
0.1%
314 1
 
< 0.1%
343 1
 
< 0.1%
355 2
 
< 0.1%
ValueCountFrequency (%)
22174 7
0.1%
21325 8
0.1%
21063 1
 
< 0.1%
20710 5
0.1%
20194 3
 
< 0.1%
20161 3
 
< 0.1%
19545 8
0.1%
18993 3
 
< 0.1%
18881 1
 
< 0.1%
18311 6
0.1%

Sample

기준_년분기_코드상권_구분_코드상권_구분_코드_명상권배후지_코드상권배후지_코드_명총_상주인구_수남성_상주인구_수여성_상주인구_수연령대_10_상주인구_수연령대_20_상주인구_수연령대_30_상주인구_수연령대_40_상주인구_수연령대_50_상주인구_수연령대_60_이상_상주인구_수남성연령대_10_상주인구_수남성연령대_20_상주인구_수남성연령대_30_상주인구_수남성연령대_40_상주인구_수남성연령대_50_상주인구_수남성연령대_60_이상_상주인구_수여성연령대_10_상주인구_수여성연령대_20_상주인구_수여성연령대_30_상주인구_수여성연령대_40_상주인구_수여성연령대_50_상주인구_수여성연령대_60_이상_상주인구_수총_가구_수아파트_가구_수비_아파트_가구_수
1487220231A골목상권3110701고척동성당1234860856263180515161486211621343291948758726105010591544857758760106610751747435804358
1171320222A골목상권3110807신길역 3번58003124267625518431474671583974124847877409358509131996597262225465454304543
671520204A골목상권3111040거여초등학교1113555225613162215411587176619872632845819811880953121477772277688610341418463104631
454020204A골목상권3110174아차산역 1번24207115431266429593625359035784144631115161762175317601952280014431863183718182192351111040011040
1851820234A골목상권3110030동대문역 3번77174014370352778810179021526295727442258246483314392533664354386931518379903799
12120194A골목상권3110122마장역 2번107485293545516001728161915771779244581586282578187111397858667947969081306456504565
364220202A골목상권3110126서울숲역 1번462822722356658727837710722974346356416342357455312371421368365519204002040
57120194A골목상권3110572서강대역 1번1352466936831201727702147219419402456106914511038105499110909481319110911409491366651806518
735620213A골목상권3110517서대문소방서69363219371710411054853109211731723541493403471538773500561450621635950315503155
733720213A골목상권3110498증산역 1번17045835186941815249423292485285950639321258123012391403228988312361099124614562774830808308
기준_년분기_코드상권_구분_코드상권_구분_코드_명상권배후지_코드상권배후지_코드_명총_상주인구_수남성_상주인구_수여성_상주인구_수연령대_10_상주인구_수연령대_20_상주인구_수연령대_30_상주인구_수연령대_40_상주인구_수연령대_50_상주인구_수연령대_60_이상_상주인구_수남성연령대_10_상주인구_수남성연령대_20_상주인구_수남성연령대_30_상주인구_수남성연령대_40_상주인구_수남성연령대_50_상주인구_수남성연령대_60_이상_상주인구_수여성연령대_10_상주인구_수여성연령대_20_상주인구_수여성연령대_30_상주인구_수여성연령대_40_상주인구_수여성연령대_50_상주인구_수여성연령대_60_이상_상주인구_수총_가구_수아파트_가구_수비_아파트_가구_수
687020213A골목상권3110258면동초등학교21042104351060723773158328032413775521111911618168716781906235511861540159315631869285610791010791
1036820221A골목상권3110138송정체육공원145077431707613293466234718962245322467816051275103912601574651186110728579851650860708607
873020214A골목상권3110003세검정초등학교8401399744041442113710031333144720397265684876106639437165695167237841096331403314
591720211A골목상권3110409창동역 2번211171012910988310130242937301237625281158914581523140717292423151215661414160520332858828508285
122120201A골목상권3110131성수동카페거리93564819453712021415156314501641208560168682575091010476017297387007311038476004760
1217120223A골목상권3110175푸른동산공원22035105061152930693989364636353379431714811860182117461648195015882129182518891731236710488010488
1050220214A골목상권3110699덕의초등학교148037250755324551857189724712493363012279519361248122216661228906961122312711964602706027
809120212A골목상권3110711구로초등학교1712685898537174423222141250631925221906119311561350165323318381129985115615392890870308703
1060020214A골목상권3110797KT대방빌딩9144452046241666114814951532134319609155487178136368917516007787197071069352003520
979020221A골목상권3110014경복고등학교360016861914644509500635573739351268210278265314293241290357308425153601536