Overview

Dataset statistics

Number of variables26
Number of observations10000
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 MiB
Average record size in memory239.0 B

Variable types

Numeric23
Categorical2
Text1

Dataset

Description기준_년분기_코드,상권_구분_코드,상권_구분_코드_명,상권배후지_코드,상권배후지_코드_명,총_직장_인구_수,남성_직장_인구_수,여성_직장_인구_수,연령대_10_직장_인구_수,연령대_20_직장_인구_수,연령대_30_직장_인구_수,연령대_40_직장_인구_수,연령대_50_직장_인구_수,연령대_60_이상_직장_인구_수,남성연령대_10_직장_인구_수,남성연령대_20_직장_인구_수,남성연령대_30_직장_인구_수,남성연령대_40_직장_인구_수,남성연령대_50_직장_인구_수,남성연령대_60_이상_직장_인구_수,여성연령대_10_직장_인구_수,여성연령대_20_직장_인구_수,여성연령대_30_직장_인구_수,여성연령대_40_직장_인구_수,여성연령대_50_직장_인구_수,여성연령대_60_이상_직장_인구_수
Author서울신용보증재단
URLhttps://data.seoul.go.kr/dataList/OA-15570/S/1/datasetView.do

Alerts

상권_구분_코드 has constant value ""Constant
상권_구분_코드_명 has constant value ""Constant
연령대_10_직장_인구_수 has 1018 (10.2%) zerosZeros
남성연령대_10_직장_인구_수 has 2205 (22.1%) zerosZeros
여성연령대_10_직장_인구_수 has 2006 (20.1%) zerosZeros

Reproduction

Analysis started2024-05-03 20:50:44.973371
Analysis finished2024-05-03 20:50:46.082206
Duration1.11 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준_년분기_코드
Real number (ℝ)

Distinct18
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20214.882
Minimum20191
Maximum20234
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T20:50:46.263832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20191
5-th percentile20191
Q120203
median20214
Q320224
95-th percentile20234
Maximum20234
Range43
Interquartile range (IQR)21

Descriptive statistics

Standard deviation13.202818
Coefficient of variation (CV)0.00065312371
Kurtosis-1.1337331
Mean20214.882
Median Absolute Deviation (MAD)11
Skewness-0.14308842
Sum2.0214882 × 108
Variance174.31441
MonotonicityNot monotonic
2024-05-03T20:50:46.666378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
20224 584
 
5.8%
20222 580
 
5.8%
20231 576
 
5.8%
20221 576
 
5.8%
20232 569
 
5.7%
20233 562
 
5.6%
20212 561
 
5.6%
20201 561
 
5.6%
20191 552
 
5.5%
20204 551
 
5.5%
Other values (8) 4328
43.3%
ValueCountFrequency (%)
20191 552
5.5%
20194 540
5.4%
20201 561
5.6%
20202 548
5.5%
20203 551
5.5%
20204 551
5.5%
20211 532
5.3%
20212 561
5.6%
20213 543
5.4%
20214 527
5.3%
ValueCountFrequency (%)
20234 546
5.5%
20233 562
5.6%
20232 569
5.7%
20231 576
5.8%
20224 584
5.8%
20223 541
5.4%
20222 580
5.8%
20221 576
5.8%
20214 527
5.3%
20213 543
5.4%

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

2024-05-03T20:50:47.081256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:50:47.416399image/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

2024-05-03T20:50:47.785723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T20:50:48.048149image/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%
Mean3110544.4
Minimum3110001
Maximum3111090
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T20:50:48.489658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3110001
5-th percentile3110053
Q13110267.8
median3110545
Q33110820.2
95-th percentile3111036
Maximum3111090
Range1089
Interquartile range (IQR)552.5

Descriptive statistics

Standard deviation316.86542
Coefficient of variation (CV)0.00010186816
Kurtosis-1.2140743
Mean3110544.4
Median Absolute Deviation (MAD)276
Skewness-0.0015857606
Sum3.1105444 × 1010
Variance100403.7
MonotonicityNot monotonic
2024-05-03T20:50:49.063232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3110195 16
 
0.2%
3110265 15
 
0.1%
3110155 15
 
0.1%
3111072 15
 
0.1%
3110923 15
 
0.1%
3110436 15
 
0.1%
3110703 15
 
0.1%
3110343 15
 
0.1%
3110886 15
 
0.1%
3110604 15
 
0.1%
Other values (1080) 9849
98.5%
ValueCountFrequency (%)
3110001 11
0.1%
3110002 12
0.1%
3110003 10
0.1%
3110004 9
0.1%
3110005 13
0.1%
3110006 7
0.1%
3110007 11
0.1%
3110008 11
0.1%
3110009 8
0.1%
3110010 11
0.1%
ValueCountFrequency (%)
3111090 13
0.1%
3111089 9
0.1%
3111088 8
0.1%
3111087 9
0.1%
3111086 9
0.1%
3111085 11
0.1%
3111084 8
0.1%
3111083 9
0.1%
3111082 11
0.1%
3111081 11
0.1%
Distinct1090
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-03T20:50:49.920137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length7.4686
Min length2

Characters and Unicode

Total characters74686
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

Unique1 ?
Unique (%)< 0.1%

Sample

1st row중곡어린이공원
2nd row사당종합체육관
3rd row창신1동주민센터
4th row양재근린공원(양재2동주민센터)
5th row돌곶이역 5번
ValueCountFrequency (%)
1번 724
 
5.3%
2번 527
 
3.9%
3번 485
 
3.6%
4번 473
 
3.5%
5번 222
 
1.6%
6번 189
 
1.4%
8번 140
 
1.0%
7번 138
 
1.0%
연신내역 49
 
0.4%
굽은다리역 48
 
0.4%
Other values (982) 10633
78.0%
2024-05-03T20:50:51.378904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3628
 
4.9%
3456
 
4.6%
3294
 
4.4%
2456
 
3.3%
2436
 
3.3%
2046
 
2.7%
1589
 
2.1%
1 1322
 
1.8%
1293
 
1.7%
1209
 
1.6%
Other values (391) 51957
69.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 64463
86.3%
Decimal Number 4457
 
6.0%
Space Separator 3628
 
4.9%
Close Punctuation 860
 
1.2%
Open Punctuation 860
 
1.2%
Uppercase Letter 360
 
0.5%
Other Punctuation 48
 
0.1%
Lowercase Letter 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3456
 
5.4%
3294
 
5.1%
2456
 
3.8%
2436
 
3.8%
2046
 
3.2%
1589
 
2.5%
1293
 
2.0%
1209
 
1.9%
1140
 
1.8%
1108
 
1.7%
Other values (361) 44436
68.9%
Uppercase Letter
ValueCountFrequency (%)
K 94
26.1%
T 47
13.1%
B 36
 
10.0%
G 35
 
9.7%
S 27
 
7.5%
C 23
 
6.4%
I 20
 
5.6%
N 19
 
5.3%
H 19
 
5.3%
D 10
 
2.8%
Other values (3) 30
 
8.3%
Decimal Number
ValueCountFrequency (%)
1 1322
29.7%
2 841
18.9%
3 656
14.7%
4 647
14.5%
5 310
 
7.0%
6 221
 
5.0%
8 159
 
3.6%
7 150
 
3.4%
9 99
 
2.2%
0 52
 
1.2%
Other Punctuation
ValueCountFrequency (%)
, 18
37.5%
& 18
37.5%
. 12
25.0%
Space Separator
ValueCountFrequency (%)
3628
100.0%
Close Punctuation
ValueCountFrequency (%)
) 860
100.0%
Open Punctuation
ValueCountFrequency (%)
( 860
100.0%
Lowercase Letter
ValueCountFrequency (%)
h 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 64463
86.3%
Common 9853
 
13.2%
Latin 370
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3456
 
5.4%
3294
 
5.1%
2456
 
3.8%
2436
 
3.8%
2046
 
3.2%
1589
 
2.5%
1293
 
2.0%
1209
 
1.9%
1140
 
1.8%
1108
 
1.7%
Other values (361) 44436
68.9%
Common
ValueCountFrequency (%)
3628
36.8%
1 1322
 
13.4%
) 860
 
8.7%
( 860
 
8.7%
2 841
 
8.5%
3 656
 
6.7%
4 647
 
6.6%
5 310
 
3.1%
6 221
 
2.2%
8 159
 
1.6%
Other values (6) 349
 
3.5%
Latin
ValueCountFrequency (%)
K 94
25.4%
T 47
12.7%
B 36
 
9.7%
G 35
 
9.5%
S 27
 
7.3%
C 23
 
6.2%
I 20
 
5.4%
N 19
 
5.1%
H 19
 
5.1%
D 10
 
2.7%
Other values (4) 40
10.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 64463
86.3%
ASCII 10223
 
13.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3628
35.5%
1 1322
 
12.9%
) 860
 
8.4%
( 860
 
8.4%
2 841
 
8.2%
3 656
 
6.4%
4 647
 
6.3%
5 310
 
3.0%
6 221
 
2.2%
8 159
 
1.6%
Other values (20) 719
 
7.0%
Hangul
ValueCountFrequency (%)
3456
 
5.4%
3294
 
5.1%
2456
 
3.8%
2436
 
3.8%
2046
 
3.2%
1589
 
2.5%
1293
 
2.0%
1209
 
1.9%
1140
 
1.8%
1108
 
1.7%
Other values (361) 44436
68.9%

총_직장_인구_수
Real number (ℝ)

Distinct1473
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4413.736
Minimum32
Maximum89045
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T20:50:51.817436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum32
5-th percentile498
Q11375.75
median2374
Q34727
95-th percentile14773
Maximum89045
Range89013
Interquartile range (IQR)3351.25

Descriptive statistics

Standard deviation6972.9152
Coefficient of variation (CV)1.5798215
Kurtosis53.460551
Mean4413.736
Median Absolute Deviation (MAD)1248
Skewness6.0719864
Sum44137360
Variance48621547
MonotonicityNot monotonic
2024-05-03T20:50:52.275494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1604 32
 
0.3%
1126 30
 
0.3%
1023 29
 
0.3%
2020 26
 
0.3%
2560 24
 
0.2%
1394 24
 
0.2%
2261 23
 
0.2%
2132 23
 
0.2%
1785 22
 
0.2%
1284 22
 
0.2%
Other values (1463) 9745
97.5%
ValueCountFrequency (%)
32 7
0.1%
57 13
0.1%
74 11
0.1%
102 9
0.1%
103 10
0.1%
116 1
 
< 0.1%
123 9
0.1%
132 7
0.1%
142 7
0.1%
153 10
0.1%
ValueCountFrequency (%)
89045 8
0.1%
78980 13
0.1%
77734 8
0.1%
65954 11
0.1%
59838 1
 
< 0.1%
53156 1
 
< 0.1%
41563 9
0.1%
41561 1
 
< 0.1%
40455 8
0.1%
39519 1
 
< 0.1%

남성_직장_인구_수
Real number (ℝ)

Distinct1339
Distinct (%)13.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2718.596
Minimum21
Maximum79397
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T20:50:52.673512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile255
Q1749
median1375
Q32775
95-th percentile9342
Maximum79397
Range79376
Interquartile range (IQR)2026

Descriptive statistics

Standard deviation5351.3303
Coefficient of variation (CV)1.9684169
Kurtosis101.75713
Mean2718.596
Median Absolute Deviation (MAD)761
Skewness8.6443373
Sum27185960
Variance28636736
MonotonicityNot monotonic
2024-05-03T20:50:53.114815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
706 40
 
0.4%
844 39
 
0.4%
1555 33
 
0.3%
1638 32
 
0.3%
798 31
 
0.3%
802 31
 
0.3%
1295 30
 
0.3%
1548 30
 
0.3%
856 28
 
0.3%
1078 27
 
0.3%
Other values (1329) 9679
96.8%
ValueCountFrequency (%)
21 7
 
0.1%
27 13
0.1%
35 5
 
0.1%
49 9
0.1%
52 12
0.1%
56 8
0.1%
61 18
0.2%
69 11
0.1%
77 1
 
< 0.1%
79 10
0.1%
ValueCountFrequency (%)
79397 8
0.1%
73122 13
0.1%
71457 8
0.1%
51168 11
0.1%
28582 13
0.1%
27580 9
0.1%
27392 1
 
< 0.1%
26076 10
0.1%
25315 1
 
< 0.1%
24748 1
 
< 0.1%

여성_직장_인구_수
Real number (ℝ)

Distinct1253
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1695.14
Minimum11
Maximum32446
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T20:50:53.604871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile214
Q1581
median992
Q31903
95-th percentile5756.35
Maximum32446
Range32435
Interquartile range (IQR)1322

Descriptive statistics

Standard deviation2192.8002
Coefficient of variation (CV)1.2935806
Kurtosis27.027783
Mean1695.14
Median Absolute Deviation (MAD)533
Skewness4.2145942
Sum16951400
Variance4808372.8
MonotonicityNot monotonic
2024-05-03T20:50:53.995588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
486 44
 
0.4%
273 41
 
0.4%
665 40
 
0.4%
691 35
 
0.4%
715 35
 
0.4%
331 30
 
0.3%
546 29
 
0.3%
1157 29
 
0.3%
713 29
 
0.3%
761 27
 
0.3%
Other values (1243) 9661
96.6%
ValueCountFrequency (%)
11 7
0.1%
22 11
0.1%
26 1
 
< 0.1%
30 13
0.1%
32 7
0.1%
35 10
0.1%
41 9
0.1%
42 9
0.1%
56 7
0.1%
64 1
 
< 0.1%
ValueCountFrequency (%)
32446 1
 
< 0.1%
27841 1
 
< 0.1%
21406 8
0.1%
21127 9
0.1%
18953 4
< 0.1%
18852 1
 
< 0.1%
18432 5
0.1%
18026 1
 
< 0.1%
16813 1
 
< 0.1%
16283 6
0.1%

연령대_10_직장_인구_수
Real number (ℝ)

ZEROS 

Distinct112
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.0306
Minimum0
Maximum771
Zeros1018
Zeros (%)10.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T20:50:54.543009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median6
Q314
95-th percentile58
Maximum771
Range771
Interquartile range (IQR)12

Descriptive statistics

Standard deviation37.067936
Coefficient of variation (CV)2.4661647
Kurtosis98.220763
Mean15.0306
Median Absolute Deviation (MAD)5
Skewness8.6139375
Sum150306
Variance1374.0319
MonotonicityNot monotonic
2024-05-03T20:50:55.096099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1018
 
10.2%
1 1006
 
10.1%
2 951
 
9.5%
3 771
 
7.7%
4 661
 
6.6%
5 510
 
5.1%
7 481
 
4.8%
6 441
 
4.4%
8 430
 
4.3%
9 307
 
3.1%
Other values (102) 3424
34.2%
ValueCountFrequency (%)
0 1018
10.2%
1 1006
10.1%
2 951
9.5%
3 771
7.7%
4 661
6.6%
5 510
5.1%
6 441
4.4%
7 481
4.8%
8 430
4.3%
9 307
 
3.1%
ValueCountFrequency (%)
771 1
 
< 0.1%
491 9
0.1%
468 8
0.1%
442 5
0.1%
420 10
0.1%
418 7
0.1%
351 1
 
< 0.1%
329 9
0.1%
298 1
 
< 0.1%
262 4
 
< 0.1%
Distinct934
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean704.0199
Minimum2
Maximum13138
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T20:50:55.546389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile49
Q1152
median310
Q3719
95-th percentile2668.05
Maximum13138
Range13136
Interquartile range (IQR)567

Descriptive statistics

Standard deviation1198.544
Coefficient of variation (CV)1.7024291
Kurtosis27.988289
Mean704.0199
Median Absolute Deviation (MAD)203
Skewness4.5573587
Sum7040199
Variance1436507.7
MonotonicityNot monotonic
2024-05-03T20:50:56.078032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
199 63
 
0.6%
104 53
 
0.5%
93 49
 
0.5%
185 48
 
0.5%
86 47
 
0.5%
137 47
 
0.5%
169 46
 
0.5%
118 45
 
0.4%
203 44
 
0.4%
264 44
 
0.4%
Other values (924) 9514
95.1%
ValueCountFrequency (%)
2 7
 
0.1%
5 13
0.1%
7 11
 
0.1%
9 7
 
0.1%
10 1
 
< 0.1%
12 9
 
0.1%
13 29
0.3%
14 7
 
0.1%
15 9
 
0.1%
16 1
 
< 0.1%
ValueCountFrequency (%)
13138 1
 
< 0.1%
12792 8
0.1%
11858 1
 
< 0.1%
11564 5
0.1%
9613 8
0.1%
9386 8
0.1%
9119 1
 
< 0.1%
8989 9
0.1%
8786 11
0.1%
8079 1
 
< 0.1%
Distinct1067
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1084.6717
Minimum11
Maximum22706
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T20:50:56.695060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile82
Q1251
median506
Q31109
95-th percentile4180
Maximum22706
Range22695
Interquartile range (IQR)858

Descriptive statistics

Standard deviation1824.7231
Coefficient of variation (CV)1.6822815
Kurtosis41.969953
Mean1084.6717
Median Absolute Deviation (MAD)308.5
Skewness5.3046298
Sum10846717
Variance3329614.4
MonotonicityNot monotonic
2024-05-03T20:50:57.194672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
206 55
 
0.5%
270 48
 
0.5%
251 45
 
0.4%
235 42
 
0.4%
423 42
 
0.4%
380 42
 
0.4%
367 41
 
0.4%
387 39
 
0.4%
134 39
 
0.4%
420 37
 
0.4%
Other values (1057) 9570
95.7%
ValueCountFrequency (%)
11 7
 
0.1%
13 11
0.1%
14 9
 
0.1%
18 11
0.1%
19 1
 
< 0.1%
21 7
 
0.1%
22 16
0.2%
23 10
 
0.1%
24 13
0.1%
25 27
0.3%
ValueCountFrequency (%)
22706 11
0.1%
19204 8
0.1%
16129 13
0.1%
15682 8
0.1%
15174 1
 
< 0.1%
13574 1
 
< 0.1%
13148 1
 
< 0.1%
13014 1
 
< 0.1%
12759 1
 
< 0.1%
11662 1
 
< 0.1%
Distinct1062
Distinct (%)10.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1096.906
Minimum8
Maximum23591
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T20:50:58.087616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile123
Q1325
median558
Q31090
95-th percentile3683
Maximum23591
Range23583
Interquartile range (IQR)765

Descriptive statistics

Standard deviation1881.8331
Coefficient of variation (CV)1.7155828
Kurtosis60.286885
Mean1096.906
Median Absolute Deviation (MAD)300
Skewness6.5673656
Sum10969060
Variance3541295.7
MonotonicityNot monotonic
2024-05-03T20:50:58.652954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
356 47
 
0.5%
383 47
 
0.5%
215 45
 
0.4%
300 43
 
0.4%
827 41
 
0.4%
115 37
 
0.4%
380 36
 
0.4%
289 35
 
0.4%
531 34
 
0.3%
371 33
 
0.3%
Other values (1052) 9602
96.0%
ValueCountFrequency (%)
8 7
 
0.1%
12 11
0.1%
14 13
0.1%
20 9
0.1%
21 9
0.1%
25 1
 
< 0.1%
31 7
 
0.1%
35 11
0.1%
38 16
0.2%
41 21
0.2%
ValueCountFrequency (%)
23591 8
0.1%
21719 11
0.1%
20976 13
0.1%
20670 8
0.1%
16252 1
 
< 0.1%
14833 1
 
< 0.1%
11680 9
0.1%
11203 1
 
< 0.1%
11157 1
 
< 0.1%
10789 1
 
< 0.1%
Distinct1029
Distinct (%)10.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean980.0528
Minimum6
Maximum33698
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T20:50:59.204614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile119
Q1322
median541
Q3971.25
95-th percentile2754.2
Maximum33698
Range33692
Interquartile range (IQR)649.25

Descriptive statistics

Standard deviation2092.8923
Coefficient of variation (CV)2.1354893
Kurtosis146.35558
Mean980.0528
Median Absolute Deviation (MAD)265
Skewness10.73237
Sum9800528
Variance4380198.2
MonotonicityNot monotonic
2024-05-03T20:50:59.960349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
460 46
 
0.5%
400 44
 
0.4%
372 44
 
0.4%
390 43
 
0.4%
491 42
 
0.4%
259 40
 
0.4%
119 38
 
0.4%
436 38
 
0.4%
361 37
 
0.4%
215 37
 
0.4%
Other values (1019) 9591
95.9%
ValueCountFrequency (%)
6 7
 
0.1%
11 13
0.1%
20 9
0.1%
21 20
0.2%
25 16
0.2%
26 1
 
< 0.1%
28 9
0.1%
29 9
0.1%
31 12
0.1%
37 11
0.1%
ValueCountFrequency (%)
33698 8
0.1%
31809 13
0.1%
31194 8
0.1%
14070 1
 
< 0.1%
13841 13
0.1%
13591 1
 
< 0.1%
13354 9
0.1%
12913 10
0.1%
9758 6
0.1%
9753 7
0.1%
Distinct869
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean533.055
Minimum3
Maximum5240
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T20:51:00.616529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile75
Q1205
median354
Q3645
95-th percentile1563
Maximum5240
Range5237
Interquartile range (IQR)440

Descriptive statistics

Standard deviation550.791
Coefficient of variation (CV)1.0332724
Kurtosis10.86194
Mean533.055
Median Absolute Deviation (MAD)184
Skewness2.8029596
Sum5330550
Variance303370.73
MonotonicityNot monotonic
2024-05-03T20:51:01.153147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
351 55
 
0.5%
243 48
 
0.5%
262 47
 
0.5%
221 47
 
0.5%
245 47
 
0.5%
317 45
 
0.4%
209 45
 
0.4%
194 43
 
0.4%
269 43
 
0.4%
229 43
 
0.4%
Other values (859) 9537
95.4%
ValueCountFrequency (%)
3 13
0.1%
4 7
 
0.1%
10 5
 
0.1%
12 1
 
< 0.1%
16 9
 
0.1%
18 21
0.2%
19 23
0.2%
21 11
0.1%
22 1
 
< 0.1%
23 11
0.1%
ValueCountFrequency (%)
5240 1
 
< 0.1%
4703 4
 
< 0.1%
4136 8
0.1%
4037 7
0.1%
4034 9
0.1%
3827 8
0.1%
3602 1
 
< 0.1%
3545 6
0.1%
3389 10
0.1%
3131 1
 
< 0.1%

남성연령대_10_직장_인구_수
Real number (ℝ)

ZEROS 

Distinct72
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7.0168
Minimum0
Maximum313
Zeros2205
Zeros (%)22.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T20:51:01.708549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q37
95-th percentile27
Maximum313
Range313
Interquartile range (IQR)6

Descriptive statistics

Standard deviation16.343581
Coefficient of variation (CV)2.3292071
Kurtosis93.082192
Mean7.0168
Median Absolute Deviation (MAD)3
Skewness8.2879322
Sum70168
Variance267.11263
MonotonicityNot monotonic
2024-05-03T20:51:02.272571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2205
22.1%
1 1585
15.8%
2 1130
11.3%
3 905
9.0%
5 511
 
5.1%
4 503
 
5.0%
6 416
 
4.2%
8 311
 
3.1%
7 301
 
3.0%
9 218
 
2.2%
Other values (62) 1915
19.1%
ValueCountFrequency (%)
0 2205
22.1%
1 1585
15.8%
2 1130
11.3%
3 905
9.0%
4 503
 
5.0%
5 511
 
5.1%
6 416
 
4.2%
7 301
 
3.0%
8 311
 
3.1%
9 218
 
2.2%
ValueCountFrequency (%)
313 1
 
< 0.1%
234 9
0.1%
192 8
0.1%
190 5
0.1%
181 1
 
< 0.1%
177 10
0.1%
176 7
0.1%
151 9
0.1%
141 1
 
< 0.1%
105 4
 
< 0.1%
Distinct632
Distinct (%)6.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean327.6655
Minimum0
Maximum6991
Zeros7
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T20:51:03.003528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile17
Q162
median136
Q3330
95-th percentile1169
Maximum6991
Range6991
Interquartile range (IQR)268

Descriptive statistics

Standard deviation623.20398
Coefficient of variation (CV)1.9019518
Kurtosis44.16003
Mean327.6655
Median Absolute Deviation (MAD)92
Skewness5.7231086
Sum3276655
Variance388383.21
MonotonicityNot monotonic
2024-05-03T20:51:03.775866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
47 98
 
1.0%
93 93
 
0.9%
70 84
 
0.8%
32 77
 
0.8%
58 77
 
0.8%
44 72
 
0.7%
83 71
 
0.7%
24 71
 
0.7%
8 70
 
0.7%
72 67
 
0.7%
Other values (622) 9220
92.2%
ValueCountFrequency (%)
0 7
 
0.1%
1 9
 
0.1%
2 14
 
0.1%
3 9
 
0.1%
4 21
 
0.2%
5 26
 
0.3%
6 40
0.4%
7 11
 
0.1%
8 70
0.7%
9 65
0.7%
ValueCountFrequency (%)
6991 8
0.1%
6569 1
 
< 0.1%
6234 8
0.1%
6231 13
0.1%
5994 8
0.1%
5585 5
 
0.1%
5517 1
 
< 0.1%
5433 11
0.1%
4462 1
 
< 0.1%
4386 9
0.1%
Distinct866
Distinct (%)8.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean663.9563
Minimum5
Maximum17446
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T20:51:04.330301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile37
Q1130
median277
Q3658
95-th percentile2492
Maximum17446
Range17441
Interquartile range (IQR)528

Descriptive statistics

Standard deviation1310.8897
Coefficient of variation (CV)1.9743615
Kurtosis68.150063
Mean663.9563
Median Absolute Deviation (MAD)183
Skewness6.9198665
Sum6639563
Variance1718431.9
MonotonicityNot monotonic
2024-05-03T20:51:04.920890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
34 67
 
0.7%
108 66
 
0.7%
61 61
 
0.6%
93 58
 
0.6%
113 52
 
0.5%
118 50
 
0.5%
177 49
 
0.5%
63 49
 
0.5%
84 48
 
0.5%
56 47
 
0.5%
Other values (856) 9453
94.5%
ValueCountFrequency (%)
5 26
0.3%
7 14
0.1%
10 11
 
0.1%
11 29
0.3%
12 23
0.2%
14 18
0.2%
15 17
0.2%
16 13
0.1%
18 6
 
0.1%
19 17
0.2%
ValueCountFrequency (%)
17446 11
0.1%
15974 8
0.1%
14222 13
0.1%
13666 8
0.1%
10249 1
 
< 0.1%
9048 1
 
< 0.1%
8552 1
 
< 0.1%
7652 1
 
< 0.1%
6873 1
 
< 0.1%
6579 1
 
< 0.1%
Distinct889
Distinct (%)8.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean706.0282
Minimum6
Maximum21216
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T20:51:05.780819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile56
Q1174
median313.5
Q3668
95-th percentile2545
Maximum21216
Range21210
Interquartile range (IQR)494

Descriptive statistics

Standard deviation1512.9102
Coefficient of variation (CV)2.1428468
Kurtosis96.048554
Mean706.0282
Median Absolute Deviation (MAD)180.5
Skewness8.5357038
Sum7060282
Variance2288897.4
MonotonicityNot monotonic
2024-05-03T20:51:06.404400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
191 63
 
0.6%
168 60
 
0.6%
189 53
 
0.5%
108 50
 
0.5%
124 48
 
0.5%
287 47
 
0.5%
174 46
 
0.5%
116 45
 
0.4%
184 44
 
0.4%
161 44
 
0.4%
Other values (879) 9500
95.0%
ValueCountFrequency (%)
6 24
0.2%
7 7
 
0.1%
10 9
 
0.1%
11 17
0.2%
12 5
 
0.1%
13 9
 
0.1%
14 1
 
< 0.1%
15 9
 
0.1%
18 2
 
< 0.1%
19 8
 
0.1%
ValueCountFrequency (%)
21216 8
0.1%
19329 13
0.1%
18911 8
0.1%
18749 11
0.1%
8129 13
0.1%
7895 9
0.1%
7791 1
 
< 0.1%
7733 1
 
< 0.1%
7502 10
0.1%
6683 1
 
< 0.1%
Distinct829
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean649.9066
Minimum2
Maximum32574
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T20:51:06.885640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile60
Q1178
median319
Q3584
95-th percentile1784
Maximum32574
Range32572
Interquartile range (IQR)406

Descriptive statistics

Standard deviation1911.3905
Coefficient of variation (CV)2.9410233
Kurtosis193.36224
Mean649.9066
Median Absolute Deviation (MAD)173
Skewness12.800824
Sum6499066
Variance3653413.5
MonotonicityNot monotonic
2024-05-03T20:51:07.439586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
183 79
 
0.8%
167 53
 
0.5%
139 52
 
0.5%
146 51
 
0.5%
192 50
 
0.5%
149 48
 
0.5%
207 47
 
0.5%
127 47
 
0.5%
186 45
 
0.4%
162 44
 
0.4%
Other values (819) 9484
94.8%
ValueCountFrequency (%)
2 13
0.1%
5 5
 
0.1%
6 7
 
0.1%
7 11
 
0.1%
10 10
 
0.1%
11 1
 
< 0.1%
12 18
0.2%
13 9
 
0.1%
15 1
 
< 0.1%
16 30
0.3%
ValueCountFrequency (%)
32574 8
0.1%
31052 13
0.1%
30353 8
0.1%
11835 13
0.1%
11621 9
0.1%
11343 10
0.1%
7800 11
0.1%
6904 6
0.1%
6555 7
0.1%
6255 7
0.1%
Distinct719
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean364.0226
Minimum3
Maximum3547
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T20:51:07.833015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile46
Q1140.75
median243
Q3452
95-th percentile1104.2
Maximum3547
Range3544
Interquartile range (IQR)311.25

Descriptive statistics

Standard deviation377.69942
Coefficient of variation (CV)1.0375713
Kurtosis9.5952848
Mean364.0226
Median Absolute Deviation (MAD)129
Skewness2.7181366
Sum3640226
Variance142656.85
MonotonicityNot monotonic
2024-05-03T20:51:08.253748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
177 68
 
0.7%
207 63
 
0.6%
143 59
 
0.6%
154 57
 
0.6%
150 57
 
0.6%
203 52
 
0.5%
113 51
 
0.5%
220 51
 
0.5%
121 50
 
0.5%
249 50
 
0.5%
Other values (709) 9442
94.4%
ValueCountFrequency (%)
3 20
0.2%
9 5
 
0.1%
10 9
 
0.1%
11 10
 
0.1%
13 1
 
< 0.1%
14 1
 
< 0.1%
15 41
0.4%
16 8
 
0.1%
17 20
0.2%
18 19
0.2%
ValueCountFrequency (%)
3547 1
 
< 0.1%
2619 8
0.1%
2606 7
0.1%
2565 9
0.1%
2464 10
0.1%
2331 17
0.2%
2295 1
 
< 0.1%
2282 8
0.1%
2276 13
0.1%
2273 9
0.1%

여성연령대_10_직장_인구_수
Real number (ℝ)

ZEROS 

Distinct86
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.0138
Minimum0
Maximum458
Zeros2006
Zeros (%)20.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T20:51:08.684216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q36
95-th percentile32
Maximum458
Range458
Interquartile range (IQR)5

Descriptive statistics

Standard deviation22.039805
Coefficient of variation (CV)2.7502314
Kurtosis87.705344
Mean8.0138
Median Absolute Deviation (MAD)2
Skewness8.1989292
Sum80138
Variance485.75298
MonotonicityNot monotonic
2024-05-03T20:51:09.107868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 2006
20.1%
1 1838
18.4%
2 1387
13.9%
3 860
8.6%
4 643
 
6.4%
5 457
 
4.6%
6 331
 
3.3%
7 214
 
2.1%
9 191
 
1.9%
8 171
 
1.7%
Other values (76) 1902
19.0%
ValueCountFrequency (%)
0 2006
20.1%
1 1838
18.4%
2 1387
13.9%
3 860
8.6%
4 643
 
6.4%
5 457
 
4.6%
6 331
 
3.3%
7 214
 
2.1%
8 171
 
1.7%
9 191
 
1.9%
ValueCountFrequency (%)
458 1
 
< 0.1%
276 8
0.1%
261 1
 
< 0.1%
257 9
0.1%
252 5
0.1%
243 10
0.1%
242 7
0.1%
178 9
0.1%
157 4
 
< 0.1%
150 8
0.1%
Distinct710
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean376.3544
Minimum1
Maximum8676
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T20:51:09.549661image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile27
Q182
median164
Q3396
95-th percentile1412
Maximum8676
Range8675
Interquartile range (IQR)314

Descriptive statistics

Standard deviation649.81177
Coefficient of variation (CV)1.7265954
Kurtosis34.45692
Mean376.3544
Median Absolute Deviation (MAD)103
Skewness4.983872
Sum3763544
Variance422255.34
MonotonicityNot monotonic
2024-05-03T20:51:10.025360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
57 100
 
1.0%
70 85
 
0.9%
99 82
 
0.8%
46 69
 
0.7%
87 68
 
0.7%
78 64
 
0.6%
61 64
 
0.6%
69 64
 
0.6%
31 64
 
0.6%
112 59
 
0.6%
Other values (700) 9281
92.8%
ValueCountFrequency (%)
1 24
0.2%
2 17
0.2%
3 1
 
< 0.1%
4 17
0.2%
6 19
0.2%
7 9
 
0.1%
9 9
 
0.1%
10 18
0.2%
11 27
0.3%
12 33
0.3%
ValueCountFrequency (%)
8676 1
 
< 0.1%
6805 8
0.1%
6798 8
0.1%
5979 5
0.1%
5755 12
0.1%
5415 1
 
< 0.1%
5289 1
 
< 0.1%
5221 6
0.1%
4961 1
 
< 0.1%
4603 9
0.1%
Distinct751
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean420.7154
Minimum3
Maximum6569
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T20:51:10.686624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile40
Q1117
median213
Q3450
95-th percentile1617
Maximum6569
Range6566
Interquartile range (IQR)333

Descriptive statistics

Standard deviation606.77443
Coefficient of variation (CV)1.4422444
Kurtosis18.312606
Mean420.7154
Median Absolute Deviation (MAD)124
Skewness3.7435964
Sum4207154
Variance368175.21
MonotonicityNot monotonic
2024-05-03T20:51:11.184224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
75 74
 
0.7%
140 71
 
0.7%
85 70
 
0.7%
154 67
 
0.7%
92 66
 
0.7%
212 61
 
0.6%
115 61
 
0.6%
77 59
 
0.6%
145 58
 
0.6%
189 58
 
0.6%
Other values (741) 9355
93.5%
ValueCountFrequency (%)
3 8
 
0.1%
4 10
 
0.1%
6 7
 
0.1%
7 16
0.2%
8 22
0.2%
11 28
0.3%
12 29
0.3%
13 1
 
< 0.1%
14 9
 
0.1%
15 11
 
0.1%
ValueCountFrequency (%)
6569 1
 
< 0.1%
5362 1
 
< 0.1%
5260 11
0.1%
5022 1
 
< 0.1%
4925 1
 
< 0.1%
4821 9
0.1%
4789 1
 
< 0.1%
4510 1
 
< 0.1%
4407 8
0.1%
4281 6
0.1%
Distinct727
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean390.8778
Minimum1
Maximum9569
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T20:51:11.852322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile59
Q1144
median238
Q3425
95-th percentile1180.35
Maximum9569
Range9568
Interquartile range (IQR)281

Descriptive statistics

Standard deviation536.87085
Coefficient of variation (CV)1.3735005
Kurtosis50.213199
Mean390.8778
Median Absolute Deviation (MAD)119
Skewness5.6405848
Sum3908778
Variance288230.31
MonotonicityNot monotonic
2024-05-03T20:51:12.618163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
181 68
 
0.7%
200 63
 
0.6%
148 58
 
0.6%
202 57
 
0.6%
142 56
 
0.6%
159 56
 
0.6%
102 51
 
0.5%
187 49
 
0.5%
122 49
 
0.5%
73 48
 
0.5%
Other values (717) 9445
94.5%
ValueCountFrequency (%)
1 7
 
0.1%
6 11
0.1%
7 1
 
< 0.1%
8 13
0.1%
9 9
0.1%
11 19
0.2%
12 14
0.1%
14 10
0.1%
17 11
0.1%
18 21
0.2%
ValueCountFrequency (%)
9569 1
 
< 0.1%
8669 1
 
< 0.1%
6908 9
0.1%
5397 8
0.1%
4616 1
 
< 0.1%
4169 9
0.1%
3946 6
0.1%
3794 9
0.1%
3724 8
0.1%
3715 4
< 0.1%
Distinct674
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean330.1462
Minimum0
Maximum11554
Zeros7
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T20:51:13.093056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile53
Q1131
median211
Q3366
95-th percentile943
Maximum11554
Range11554
Interquartile range (IQR)235

Descriptive statistics

Standard deviation439.51109
Coefficient of variation (CV)1.331262
Kurtosis101.49409
Mean330.1462
Median Absolute Deviation (MAD)99
Skewness7.1413403
Sum3301462
Variance193170
MonotonicityNot monotonic
2024-05-03T20:51:13.732019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
77 77
 
0.8%
91 68
 
0.7%
210 66
 
0.7%
125 65
 
0.7%
136 62
 
0.6%
156 62
 
0.6%
127 62
 
0.6%
265 61
 
0.6%
193 60
 
0.6%
153 59
 
0.6%
Other values (664) 9358
93.6%
ValueCountFrequency (%)
0 7
 
0.1%
5 11
 
0.1%
6 7
 
0.1%
8 19
0.2%
9 24
0.2%
11 9
 
0.1%
14 23
0.2%
15 1
 
< 0.1%
16 1
 
< 0.1%
17 28
0.3%
ValueCountFrequency (%)
11554 1
 
< 0.1%
10706 1
 
< 0.1%
4930 4
< 0.1%
4536 9
0.1%
4381 8
0.1%
3764 5
0.1%
3482 8
0.1%
3468 1
 
< 0.1%
3198 7
0.1%
3187 7
0.1%
Distinct492
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean169.0324
Minimum0
Maximum3033
Zeros13
Zeros (%)0.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T20:51:14.291608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile19
Q155
median101
Q3198
95-th percentile568
Maximum3033
Range3033
Interquartile range (IQR)143

Descriptive statistics

Standard deviation214.15964
Coefficient of variation (CV)1.2669739
Kurtosis28.66858
Mean169.0324
Median Absolute Deviation (MAD)56
Skewness4.2207924
Sum1690324
Variance45864.35
MonotonicityNot monotonic
2024-05-03T20:51:14.794269image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
56 123
 
1.2%
47 119
 
1.2%
54 109
 
1.1%
100 100
 
1.0%
48 97
 
1.0%
62 88
 
0.9%
55 87
 
0.9%
96 86
 
0.9%
31 85
 
0.9%
52 83
 
0.8%
Other values (482) 9023
90.2%
ValueCountFrequency (%)
0 13
0.1%
1 13
0.1%
2 21
0.2%
3 11
 
0.1%
4 23
0.2%
5 30
0.3%
6 21
0.2%
7 8
 
0.1%
8 10
 
0.1%
9 29
0.3%
ValueCountFrequency (%)
3033 4
< 0.1%
1918 8
0.1%
1820 8
0.1%
1805 8
0.1%
1693 1
 
< 0.1%
1660 5
0.1%
1519 1
 
< 0.1%
1484 6
0.1%
1469 9
0.1%
1431 7
0.1%

Sample

기준_년분기_코드상권_구분_코드상권_구분_코드_명상권배후지_코드상권배후지_코드_명총_직장_인구_수남성_직장_인구_수여성_직장_인구_수연령대_10_직장_인구_수연령대_20_직장_인구_수연령대_30_직장_인구_수연령대_40_직장_인구_수연령대_50_직장_인구_수연령대_60_이상_직장_인구_수남성연령대_10_직장_인구_수남성연령대_20_직장_인구_수남성연령대_30_직장_인구_수남성연령대_40_직장_인구_수남성연령대_50_직장_인구_수남성연령대_60_이상_직장_인구_수여성연령대_10_직장_인구_수여성연령대_20_직장_인구_수여성연령대_30_직장_인구_수여성연령대_40_직장_인구_수여성연령대_50_직장_인구_수여성연령대_60_이상_직장_인구_수
661520204A골목상권3110152중곡어린이공원16711070601493382833234002786137200206286235432018311711443
806520211A골목상권3110845사당종합체육관2216132888813436046084871730142347418296125120125719019148
394420203A골목상권3110034창신1동주민센터1885871101483193945214122317104157206228169121523731518462
1368620223A골목상권3110940양재근린공원(양재2동주민센터)657345781995361029176117011243803226011228121187264414428533490371159
913920214A골목상권3110333돌곶이역 5번2180159758311381802533951213072102152268100316678101127210
24220191A골목상권3110702개봉초등학교47722544222831673094587123123047118184299189631201912744131227
1055420214A골목상권3110459응암역 2번308614431643330357587781751101132673883523233190308489465188
432420203A골목상권3110805신길새마을금고신길4동지점102353748611572062592721280621061331469019510012612638
156620194A골목상권3110662까치산역 1번364421331511846487196187246862144965045663472250375457306121
520320202A골목상권3110977논현로18길876860922676171345268823521426940773118391812100070310614849540426237
기준_년분기_코드상권_구분_코드상권_구분_코드_명상권배후지_코드상권배후지_코드_명총_직장_인구_수남성_직장_인구_수여성_직장_인구_수연령대_10_직장_인구_수연령대_20_직장_인구_수연령대_30_직장_인구_수연령대_40_직장_인구_수연령대_50_직장_인구_수연령대_60_이상_직장_인구_수남성연령대_10_직장_인구_수남성연령대_20_직장_인구_수남성연령대_30_직장_인구_수남성연령대_40_직장_인구_수남성연령대_50_직장_인구_수남성연령대_60_이상_직장_인구_수여성연령대_10_직장_인구_수여성연령대_20_직장_인구_수여성연령대_30_직장_인구_수여성연령대_40_직장_인구_수여성연령대_50_직장_인구_수여성연령대_60_이상_직장_인구_수
1020020214A골목상권3110866난우중학교110262248001111962893221840501051481831360619114113948
1119520222A골목상권3110758문래소공원14709762370861033376378732173111111531154127601604829858721835102716132282257
252320203A골목상권3110552성미산체육관299518181177837965277873044841853664575063004194286321224148
1523020224A골목상권3110776도신초등학교434230471295145431061127592252752837679596274069260294316295121
583820202A골목상권3110794영동초등학교67314384234779081678186814887824484118712968805333424491572608249
1393020224A골목상권3110948헌인가구단지57273005241411304126230112890
210120194A골목상권3110465연신내역 7번22579271330938652855947629951182402301841504268288329292149
359120203A골목상권3110376수송초등학교21011069103232304205224984282802082862402531150212236258175
807720211A골목상권3110939양재역 8번(양재동우체국)4156320436211274918989100051168073083090234438659994772277222732574603400669084536817
141120194A골목상권3110376수송초등학교21011069103232304205224984282802082862402531150212236258175