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,상권_코드,상권_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-15569/S/1/datasetView.do

Alerts

연령대_10_직장_인구_수 has 5276 (52.8%) zerosZeros
연령대_20_직장_인구_수 has 389 (3.9%) zerosZeros
연령대_30_직장_인구_수 has 127 (1.3%) zerosZeros
연령대_60_이상_직장_인구_수 has 199 (2.0%) zerosZeros
남성연령대_10_직장_인구_수 has 6460 (64.6%) zerosZeros
남성연령대_20_직장_인구_수 has 906 (9.1%) zerosZeros
남성연령대_30_직장_인구_수 has 371 (3.7%) zerosZeros
남성연령대_40_직장_인구_수 has 220 (2.2%) zerosZeros
남성연령대_50_직장_인구_수 has 173 (1.7%) zerosZeros
남성연령대_60_이상_직장_인구_수 has 259 (2.6%) zerosZeros
여성연령대_10_직장_인구_수 has 6467 (64.7%) zerosZeros
여성연령대_20_직장_인구_수 has 665 (6.7%) zerosZeros
여성연령대_30_직장_인구_수 has 419 (4.2%) zerosZeros
여성연령대_40_직장_인구_수 has 253 (2.5%) zerosZeros
여성연령대_50_직장_인구_수 has 232 (2.3%) zerosZeros
여성연령대_60_이상_직장_인구_수 has 564 (5.6%) zerosZeros

Reproduction

Analysis started2024-05-03 21:25:08.245318
Analysis finished2024-05-03 21:25:09.717695
Duration1.47 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%
Mean20214.736
Minimum20191
Maximum20234
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:25:10.034441image/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 deviation13.240668
Coefficient of variation (CV)0.00065500079
Kurtosis-1.1358531
Mean20214.736
Median Absolute Deviation (MAD)11
Skewness-0.12467823
Sum2.0214736 × 108
Variance175.31529
MonotonicityNot monotonic
2024-05-03T21:25:10.521698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
20214 583
 
5.8%
20231 579
 
5.8%
20194 577
 
5.8%
20232 575
 
5.8%
20204 568
 
5.7%
20203 563
 
5.6%
20213 559
 
5.6%
20191 557
 
5.6%
20234 554
 
5.5%
20212 553
 
5.5%
Other values (8) 4332
43.3%
ValueCountFrequency (%)
20191 557
5.6%
20194 577
5.8%
20201 535
5.3%
20202 531
5.3%
20203 563
5.6%
20204 568
5.7%
20211 541
5.4%
20212 553
5.5%
20213 559
5.6%
20214 583
5.8%
ValueCountFrequency (%)
20234 554
5.5%
20233 550
5.5%
20232 575
5.8%
20231 579
5.8%
20224 542
5.4%
20223 543
5.4%
20222 542
5.4%
20221 548
5.5%
20214 583
5.8%
20213 559
5.6%

상권_구분_코드
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
A
6651 
R
1790 
D
1523 
U
 
36

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
A 6651
66.5%
R 1790
 
17.9%
D 1523
 
15.2%
U 36
 
0.4%

Length

2024-05-03T21:25:11.063432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:25:11.552612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
a 6651
66.5%
r 1790
 
17.9%
d 1523
 
15.2%
u 36
 
0.4%

상권_구분_코드_명
Categorical

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
골목상권
6651 
전통시장
1790 
발달상권
1523 
관광특구
 
36

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
골목상권 6651
66.5%
전통시장 1790
 
17.9%
발달상권 1523
 
15.2%
관광특구 36
 
0.4%

Length

2024-05-03T21:25:12.280827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-03T21:25:12.873795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
골목상권 6651
66.5%
전통시장 1790
 
17.9%
발달상권 1523
 
15.2%
관광특구 36
 
0.4%

상권_코드
Real number (ℝ)

Distinct1630
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3115126.4
Minimum3001491
Maximum3130327
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:25:13.300647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3001491
5-th percentile3110078
Q13110408.8
median3110818
Q33120136
95-th percentile3130234
Maximum3130327
Range128836
Interquartile range (IQR)9727.25

Descriptive statistics

Standard deviation10237.286
Coefficient of variation (CV)0.0032863149
Kurtosis52.557246
Mean3115126.4
Median Absolute Deviation (MAD)545
Skewness-4.3995575
Sum3.1151264 × 1010
Variance1.0480203 × 108
MonotonicityNot monotonic
2024-05-03T21:25:13.960371image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3130103 13
 
0.1%
3110539 12
 
0.1%
3110409 12
 
0.1%
3110295 12
 
0.1%
3120175 12
 
0.1%
3130107 12
 
0.1%
3110416 12
 
0.1%
3110657 12
 
0.1%
3110575 11
 
0.1%
3120189 11
 
0.1%
Other values (1620) 9881
98.8%
ValueCountFrequency (%)
3001491 7
0.1%
3001492 6
0.1%
3001493 6
0.1%
3001494 6
0.1%
3001495 8
0.1%
3001496 3
 
< 0.1%
3110001 7
0.1%
3110002 11
0.1%
3110003 7
0.1%
3110004 7
0.1%
ValueCountFrequency (%)
3130327 5
0.1%
3130326 4
< 0.1%
3130325 5
0.1%
3130324 7
0.1%
3130323 4
< 0.1%
3130322 5
0.1%
3130321 4
< 0.1%
3130320 8
0.1%
3130319 9
0.1%
3130318 5
0.1%

상권_코드_명
Text

Distinct1630
Distinct (%)16.3%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-03T21:25:15.291157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length28
Mean length7.5616
Min length2

Characters and Unicode

Total characters75616
Distinct characters446
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique17 ?
Unique (%)0.2%

Sample

1st row송천초등학교
2nd row중랑역 4번
3rd row경수초등학교
4th row석촌고분역 1번
5th row마포시장
ValueCountFrequency (%)
1번 480
 
3.7%
3번 349
 
2.7%
2번 344
 
2.6%
4번 321
 
2.5%
5번 157
 
1.2%
6번 121
 
0.9%
8번 102
 
0.8%
골목형상점가 95
 
0.7%
7번 91
 
0.7%
상점가 44
 
0.3%
Other values (1499) 10952
83.9%
2024-05-03T21:25:17.539350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
역 3378
 
4.5%
3056
 
4.0%
동 2295
 
3.0%
번 2262
 
3.0%
장 2152
 
2.8%
시 2012
 
2.7%
교 1893
 
2.5%
학 1735
 
2.3%
) 1464
 
1.9%
( 1464
 
1.9%
Other values (436) 53905
71.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 65757
87.0%
Decimal Number 3315
 
4.4%
Space Separator 3056
 
4.0%
Close Punctuation 1464
 
1.9%
Open Punctuation 1464
 
1.9%
Uppercase Letter 314
 
0.4%
Other Punctuation 174
 
0.2%
Lowercase Letter 40
 
0.1%
Connector Punctuation 32
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
역 3378
 
5.1%
동 2295
 
3.5%
번 2262
 
3.4%
장 2152
 
3.3%
시 2012
 
3.1%
교 1893
 
2.9%
학 1735
 
2.6%
대 1251
 
1.9%
등 1216
 
1.8%
신 1117
 
1.7%
Other values (398) 46446
70.6%
Uppercase Letter
ValueCountFrequency (%)
K 53
16.9%
B 49
15.6%
C 35
11.1%
T 33
10.5%
D 28
8.9%
I 21
 
6.7%
G 21
 
6.7%
M 16
 
5.1%
S 16
 
5.1%
H 13
 
4.1%
Other values (4) 29
9.2%
Decimal Number
ValueCountFrequency (%)
1 951
28.7%
2 590
17.8%
3 526
15.9%
4 472
14.2%
5 235
 
7.1%
6 167
 
5.0%
8 138
 
4.2%
7 116
 
3.5%
9 76
 
2.3%
0 44
 
1.3%
Other Punctuation
ValueCountFrequency (%)
, 134
77.0%
. 18
 
10.3%
& 12
 
6.9%
? 6
 
3.4%
! 4
 
2.3%
Lowercase Letter
ValueCountFrequency (%)
a 13
32.5%
e 7
17.5%
m 7
17.5%
t 7
17.5%
h 6
15.0%
Space Separator
ValueCountFrequency (%)
3056
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1464
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1464
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 32
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 65757
87.0%
Common 9505
 
12.6%
Latin 354
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
역 3378
 
5.1%
동 2295
 
3.5%
번 2262
 
3.4%
장 2152
 
3.3%
시 2012
 
3.1%
교 1893
 
2.9%
학 1735
 
2.6%
대 1251
 
1.9%
등 1216
 
1.8%
신 1117
 
1.7%
Other values (398) 46446
70.6%
Common
ValueCountFrequency (%)
3056
32.2%
) 1464
15.4%
( 1464
15.4%
1 951
 
10.0%
2 590
 
6.2%
3 526
 
5.5%
4 472
 
5.0%
5 235
 
2.5%
6 167
 
1.8%
8 138
 
1.5%
Other values (9) 442
 
4.7%
Latin
ValueCountFrequency (%)
K 53
15.0%
B 49
13.8%
C 35
9.9%
T 33
9.3%
D 28
7.9%
I 21
 
5.9%
G 21
 
5.9%
M 16
 
4.5%
S 16
 
4.5%
a 13
 
3.7%
Other values (9) 69
19.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 65757
87.0%
ASCII 9859
 
13.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
역 3378
 
5.1%
동 2295
 
3.5%
번 2262
 
3.4%
장 2152
 
3.3%
시 2012
 
3.1%
교 1893
 
2.9%
학 1735
 
2.6%
대 1251
 
1.9%
등 1216
 
1.8%
신 1117
 
1.7%
Other values (398) 46446
70.6%
ASCII
ValueCountFrequency (%)
3056
31.0%
) 1464
14.8%
( 1464
14.8%
1 951
 
9.6%
2 590
 
6.0%
3 526
 
5.3%
4 472
 
4.8%
5 235
 
2.4%
6 167
 
1.7%
8 138
 
1.4%
Other values (28) 796
 
8.1%

총_직장_인구_수
Real number (ℝ)

Distinct1181
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1846.6848
Minimum1
Maximum104830
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:25:18.073111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile19
Q1110
median323
Q3893
95-th percentile8496.3
Maximum104830
Range104829
Interquartile range (IQR)783

Descriptive statistics

Standard deviation6501.2481
Coefficient of variation (CV)3.5204969
Kurtosis90.53054
Mean1846.6848
Median Absolute Deviation (MAD)261
Skewness8.4498443
Sum18466848
Variance42266227
MonotonicityNot monotonic
2024-05-03T21:25:18.678723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
7 66
 
0.7%
17 63
 
0.6%
20 62
 
0.6%
76 48
 
0.5%
67 48
 
0.5%
491 45
 
0.4%
12 45
 
0.4%
45 43
 
0.4%
19 42
 
0.4%
13 42
 
0.4%
Other values (1171) 9496
95.0%
ValueCountFrequency (%)
1 12
 
0.1%
2 35
0.4%
3 15
 
0.1%
4 13
 
0.1%
5 34
0.3%
6 16
 
0.2%
7 66
0.7%
8 12
 
0.1%
9 17
 
0.2%
10 17
 
0.2%
ValueCountFrequency (%)
104830 6
0.1%
89886 1
 
< 0.1%
81127 5
0.1%
72613 10
0.1%
69255 5
0.1%
61667 7
0.1%
59677 1
 
< 0.1%
58731 9
0.1%
53680 1
 
< 0.1%
49872 1
 
< 0.1%

남성_직장_인구_수
Real number (ℝ)

Distinct959
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1081.082
Minimum0
Maximum53674
Zeros25
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:25:19.280217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile9
Q154
median176
Q3534
95-th percentile5150
Maximum53674
Range53674
Interquartile range (IQR)480

Descriptive statistics

Standard deviation3796.4206
Coefficient of variation (CV)3.5116861
Kurtosis85.756896
Mean1081.082
Median Absolute Deviation (MAD)149
Skewness8.3382818
Sum10810820
Variance14412809
MonotonicityNot monotonic
2024-05-03T21:25:19.959261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 83
 
0.8%
12 82
 
0.8%
13 79
 
0.8%
17 78
 
0.8%
27 72
 
0.7%
9 72
 
0.7%
20 72
 
0.7%
3 63
 
0.6%
19 61
 
0.6%
8 61
 
0.6%
Other values (949) 9277
92.8%
ValueCountFrequency (%)
0 25
 
0.2%
1 43
0.4%
2 34
0.3%
3 63
0.6%
4 34
0.3%
5 83
0.8%
6 41
0.4%
7 57
0.6%
8 61
0.6%
9 72
0.7%
ValueCountFrequency (%)
53674 6
0.1%
53423 5
0.1%
45888 5
0.1%
43197 1
 
< 0.1%
40706 7
0.1%
38819 10
0.1%
38593 9
0.1%
32033 7
0.1%
30858 1
 
< 0.1%
30483 1
 
< 0.1%

여성_직장_인구_수
Real number (ℝ)

Distinct826
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean765.6028
Minimum0
Maximum51156
Zeros21
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:25:20.650913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile7
Q143
median131
Q3353.25
95-th percentile3266
Maximum51156
Range51156
Interquartile range (IQR)310.25

Descriptive statistics

Standard deviation2799.3768
Coefficient of variation (CV)3.6564349
Kurtosis110.36392
Mean765.6028
Median Absolute Deviation (MAD)105
Skewness9.0287901
Sum7656028
Variance7836510.3
MonotonicityNot monotonic
2024-05-03T21:25:21.253366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 110
 
1.1%
5 91
 
0.9%
39 86
 
0.9%
11 85
 
0.9%
2 83
 
0.8%
30 83
 
0.8%
7 80
 
0.8%
18 79
 
0.8%
4 79
 
0.8%
33 73
 
0.7%
Other values (816) 9151
91.5%
ValueCountFrequency (%)
0 21
 
0.2%
1 52
0.5%
2 83
0.8%
3 70
0.7%
4 79
0.8%
5 91
0.9%
6 33
 
0.3%
7 80
0.8%
8 69
0.7%
9 110
1.1%
ValueCountFrequency (%)
51156 6
0.1%
46689 1
 
< 0.1%
33794 10
0.1%
28819 1
 
< 0.1%
27704 5
0.1%
23838 1
 
< 0.1%
23367 5
0.1%
23197 1
 
< 0.1%
21983 6
0.1%
21242 4
 
< 0.1%

연령대_10_직장_인구_수
Real number (ℝ)

ZEROS 

Distinct116
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.1703
Minimum0
Maximum1263
Zeros5276
Zeros (%)52.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:25:21.756829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q33
95-th percentile32
Maximum1263
Range1263
Interquartile range (IQR)3

Descriptive statistics

Standard deviation46.504348
Coefficient of variation (CV)5.6918776
Kurtosis408.76222
Mean8.1703
Median Absolute Deviation (MAD)0
Skewness17.470639
Sum81703
Variance2162.6544
MonotonicityNot monotonic
2024-05-03T21:25:22.351766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 5276
52.8%
1 1496
 
15.0%
2 668
 
6.7%
3 406
 
4.1%
4 279
 
2.8%
7 172
 
1.7%
6 169
 
1.7%
5 156
 
1.6%
8 120
 
1.2%
9 97
 
1.0%
Other values (106) 1161
 
11.6%
ValueCountFrequency (%)
0 5276
52.8%
1 1496
 
15.0%
2 668
 
6.7%
3 406
 
4.1%
4 279
 
2.8%
5 156
 
1.6%
6 169
 
1.7%
7 172
 
1.7%
8 120
 
1.2%
9 97
 
1.0%
ValueCountFrequency (%)
1263 7
0.1%
856 1
 
< 0.1%
749 1
 
< 0.1%
674 1
 
< 0.1%
642 1
 
< 0.1%
423 6
0.1%
421 7
0.1%
375 6
0.1%
364 1
 
< 0.1%
316 7
0.1%

연령대_20_직장_인구_수
Real number (ℝ)

ZEROS 

Distinct554
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean354.6447
Minimum0
Maximum27134
Zeros389
Zeros (%)3.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:25:22.812924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q111
median36
Q3126
95-th percentile1602.9
Maximum27134
Range27134
Interquartile range (IQR)115

Descriptive statistics

Standard deviation1446.2158
Coefficient of variation (CV)4.0779288
Kurtosis121.06714
Mean354.6447
Median Absolute Deviation (MAD)31
Skewness9.5197263
Sum3546447
Variance2091540.2
MonotonicityNot monotonic
2024-05-03T21:25:23.326895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 389
 
3.9%
1 297
 
3.0%
2 275
 
2.8%
3 256
 
2.6%
4 211
 
2.1%
7 197
 
2.0%
6 193
 
1.9%
5 177
 
1.8%
8 168
 
1.7%
12 166
 
1.7%
Other values (544) 7671
76.7%
ValueCountFrequency (%)
0 389
3.9%
1 297
3.0%
2 275
2.8%
3 256
2.6%
4 211
2.1%
5 177
1.8%
6 193
1.9%
7 197
2.0%
8 168
1.7%
9 132
 
1.3%
ValueCountFrequency (%)
27134 6
0.1%
22038 1
 
< 0.1%
17636 10
0.1%
16803 1
 
< 0.1%
16342 5
0.1%
15172 1
 
< 0.1%
13659 1
 
< 0.1%
12768 1
 
< 0.1%
12750 4
 
< 0.1%
11383 5
0.1%

연령대_30_직장_인구_수
Real number (ℝ)

ZEROS 

Distinct640
Distinct (%)6.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean516.1183
Minimum0
Maximum34007
Zeros127
Zeros (%)1.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:25:23.752594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q119
median58
Q3200
95-th percentile2482
Maximum34007
Range34007
Interquartile range (IQR)181

Descriptive statistics

Standard deviation2057.0431
Coefficient of variation (CV)3.9856039
Kurtosis102.06077
Mean516.1183
Median Absolute Deviation (MAD)49
Skewness9.0483022
Sum5161183
Variance4231426.4
MonotonicityNot monotonic
2024-05-03T21:25:24.245942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 226
 
2.3%
3 201
 
2.0%
4 168
 
1.7%
17 148
 
1.5%
10 142
 
1.4%
7 135
 
1.4%
5 135
 
1.4%
0 127
 
1.3%
2 122
 
1.2%
15 115
 
1.1%
Other values (630) 8481
84.8%
ValueCountFrequency (%)
0 127
1.3%
1 226
2.3%
2 122
1.2%
3 201
2.0%
4 168
1.7%
5 135
1.4%
6 104
1.0%
7 135
1.4%
8 111
1.1%
9 106
1.1%
ValueCountFrequency (%)
34007 6
0.1%
28163 1
 
< 0.1%
25688 5
0.1%
24305 10
0.1%
22550 5
0.1%
22506 7
0.1%
18065 9
0.1%
17691 1
 
< 0.1%
16901 1
 
< 0.1%
16797 1
 
< 0.1%

연령대_40_직장_인구_수
Real number (ℝ)

Distinct659
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean451.2672
Minimum0
Maximum23384
Zeros89
Zeros (%)0.9%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:25:24.912389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile4
Q126
median75
Q3211
95-th percentile1996
Maximum23384
Range23384
Interquartile range (IQR)185

Descriptive statistics

Standard deviation1639.5256
Coefficient of variation (CV)3.6331592
Kurtosis83.920582
Mean451.2672
Median Absolute Deviation (MAD)61
Skewness8.3320596
Sum4512672
Variance2688044.2
MonotonicityNot monotonic
2024-05-03T21:25:25.504101image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 152
 
1.5%
12 127
 
1.3%
10 127
 
1.3%
2 126
 
1.3%
14 125
 
1.2%
1 124
 
1.2%
8 122
 
1.2%
24 117
 
1.2%
5 112
 
1.1%
16 110
 
1.1%
Other values (649) 8758
87.6%
ValueCountFrequency (%)
0 89
0.9%
1 124
1.2%
2 126
1.3%
3 80
0.8%
4 152
1.5%
5 112
1.1%
6 80
0.8%
7 101
1.0%
8 122
1.2%
9 46
 
0.5%
ValueCountFrequency (%)
23384 6
0.1%
21146 1
 
< 0.1%
20130 5
0.1%
19240 5
0.1%
18411 10
0.1%
18178 7
0.1%
15897 9
0.1%
13071 4
 
< 0.1%
12761 4
 
< 0.1%
12596 1
 
< 0.1%

연령대_50_직장_인구_수
Real number (ℝ)

Distinct616
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean331.5406
Minimum0
Maximum15726
Zeros80
Zeros (%)0.8%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:25:25.933429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q125
median76
Q3196
95-th percentile1401
Maximum15726
Range15726
Interquartile range (IQR)171

Descriptive statistics

Standard deviation1062.2161
Coefficient of variation (CV)3.2038793
Kurtosis73.17691
Mean331.5406
Median Absolute Deviation (MAD)62
Skewness7.6705964
Sum3315406
Variance1128303
MonotonicityNot monotonic
2024-05-03T21:25:26.448313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
9 148
 
1.5%
2 144
 
1.4%
5 144
 
1.4%
6 134
 
1.3%
7 129
 
1.3%
13 127
 
1.3%
10 126
 
1.3%
4 120
 
1.2%
11 112
 
1.1%
12 106
 
1.1%
Other values (606) 8710
87.1%
ValueCountFrequency (%)
0 80
0.8%
1 63
0.6%
2 144
1.4%
3 80
0.8%
4 120
1.2%
5 144
1.4%
6 134
1.3%
7 129
1.3%
8 101
1.0%
9 148
1.5%
ValueCountFrequency (%)
15726 6
0.1%
12096 5
0.1%
11787 1
 
< 0.1%
11589 5
0.1%
11282 4
 
< 0.1%
10840 9
0.1%
10081 7
0.1%
9151 10
0.1%
8884 1
 
< 0.1%
8723 1
 
< 0.1%

연령대_60_이상_직장_인구_수
Real number (ℝ)

ZEROS 

Distinct524
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean184.9437
Minimum0
Maximum7089
Zeros199
Zeros (%)2.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:25:27.054385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile3
Q116
median49
Q3137.25
95-th percentile857.35
Maximum7089
Range7089
Interquartile range (IQR)121.25

Descriptive statistics

Standard deviation470.86448
Coefficient of variation (CV)2.5459882
Kurtosis53.976671
Mean184.9437
Median Absolute Deviation (MAD)40
Skewness6.2842716
Sum1849437
Variance221713.36
MonotonicityNot monotonic
2024-05-03T21:25:27.799845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 206
 
2.1%
0 199
 
2.0%
7 174
 
1.7%
3 173
 
1.7%
2 170
 
1.7%
11 155
 
1.6%
13 152
 
1.5%
8 147
 
1.5%
10 143
 
1.4%
6 140
 
1.4%
Other values (514) 8341
83.4%
ValueCountFrequency (%)
0 199
2.0%
1 121
1.2%
2 170
1.7%
3 173
1.7%
4 138
1.4%
5 206
2.1%
6 140
1.4%
7 174
1.7%
8 147
1.5%
9 91
0.9%
ValueCountFrequency (%)
7089 5
0.1%
6003 1
 
< 0.1%
4669 6
0.1%
4652 6
0.1%
4518 1
 
< 0.1%
4321 1
 
< 0.1%
4311 1
 
< 0.1%
4156 6
0.1%
3802 5
0.1%
3743 9
0.1%

남성연령대_10_직장_인구_수
Real number (ℝ)

ZEROS 

Distinct75
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.4817
Minimum0
Maximum589
Zeros6460
Zeros (%)64.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:25:28.476671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile13
Maximum589
Range589
Interquartile range (IQR)1

Descriptive statistics

Standard deviation20.369594
Coefficient of variation (CV)5.8504736
Kurtosis506.12468
Mean3.4817
Median Absolute Deviation (MAD)0
Skewness19.64014
Sum34817
Variance414.92036
MonotonicityNot monotonic
2024-05-03T21:25:28.956944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6460
64.6%
1 1156
 
11.6%
2 572
 
5.7%
3 356
 
3.6%
4 211
 
2.1%
5 156
 
1.6%
6 119
 
1.2%
8 110
 
1.1%
9 86
 
0.9%
12 69
 
0.7%
Other values (65) 705
 
7.0%
ValueCountFrequency (%)
0 6460
64.6%
1 1156
 
11.6%
2 572
 
5.7%
3 356
 
3.6%
4 211
 
2.1%
5 156
 
1.6%
6 119
 
1.2%
7 53
 
0.5%
8 110
 
1.1%
9 86
 
0.9%
ValueCountFrequency (%)
589 7
0.1%
365 1
 
< 0.1%
287 1
 
< 0.1%
280 1
 
< 0.1%
214 1
 
< 0.1%
184 5
0.1%
180 7
0.1%
145 7
0.1%
137 6
0.1%
127 7
0.1%

남성연령대_20_직장_인구_수
Real number (ℝ)

ZEROS 

Distinct410
Distinct (%)4.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean154.2286
Minimum0
Maximum8860
Zeros906
Zeros (%)9.1%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:25:29.395271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median14
Q355
95-th percentile728
Maximum8860
Range8860
Interquartile range (IQR)51

Descriptive statistics

Standard deviation610.52154
Coefficient of variation (CV)3.9585495
Kurtosis85.814356
Mean154.2286
Median Absolute Deviation (MAD)13
Skewness8.4253431
Sum1542286
Variance372736.55
MonotonicityNot monotonic
2024-05-03T21:25:29.926221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 906
 
9.1%
1 503
 
5.0%
4 437
 
4.4%
3 434
 
4.3%
2 422
 
4.2%
5 328
 
3.3%
7 289
 
2.9%
11 238
 
2.4%
8 230
 
2.3%
12 226
 
2.3%
Other values (400) 5987
59.9%
ValueCountFrequency (%)
0 906
9.1%
1 503
5.0%
2 422
4.2%
3 434
4.3%
4 437
4.4%
5 328
 
3.3%
6 223
 
2.2%
7 289
 
2.9%
8 230
 
2.3%
9 223
 
2.2%
ValueCountFrequency (%)
8860 6
0.1%
8639 5
0.1%
7277 1
 
< 0.1%
6802 1
 
< 0.1%
6629 10
0.1%
6004 1
 
< 0.1%
5884 5
0.1%
5605 7
0.1%
5489 1
 
< 0.1%
5356 6
0.1%

남성연령대_30_직장_인구_수
Real number (ℝ)

ZEROS 

Distinct529
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean302.7204
Minimum0
Maximum17233
Zeros371
Zeros (%)3.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:25:30.584411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q19
median31
Q3118
95-th percentile1437
Maximum17233
Range17233
Interquartile range (IQR)109

Descriptive statistics

Standard deviation1201.3806
Coefficient of variation (CV)3.9686146
Kurtosis91.380377
Mean302.7204
Median Absolute Deviation (MAD)28
Skewness8.7375573
Sum3027204
Variance1443315.3
MonotonicityNot monotonic
2024-05-03T21:25:31.175444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 371
 
3.7%
2 342
 
3.4%
1 326
 
3.3%
3 279
 
2.8%
5 254
 
2.5%
4 229
 
2.3%
8 212
 
2.1%
6 191
 
1.9%
7 184
 
1.8%
12 164
 
1.6%
Other values (519) 7448
74.5%
ValueCountFrequency (%)
0 371
3.7%
1 326
3.3%
2 342
3.4%
3 279
2.8%
4 229
2.3%
5 254
2.5%
6 191
1.9%
7 184
1.8%
8 212
2.1%
9 158
1.6%
ValueCountFrequency (%)
17233 5
0.1%
16080 6
0.1%
14468 1
 
< 0.1%
14324 7
0.1%
14085 5
0.1%
13226 10
0.1%
11924 9
0.1%
11083 7
0.1%
10056 1
 
< 0.1%
9517 1
 
< 0.1%

남성연령대_40_직장_인구_수
Real number (ℝ)

ZEROS 

Distinct550
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean288.5789
Minimum0
Maximum15133
Zeros220
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:25:31.597535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q113
median42
Q3129
95-th percentile1328
Maximum15133
Range15133
Interquartile range (IQR)116

Descriptive statistics

Standard deviation1091.9642
Coefficient of variation (CV)3.7839364
Kurtosis93.388977
Mean288.5789
Median Absolute Deviation (MAD)36
Skewness8.7878212
Sum2885789
Variance1192385.8
MonotonicityNot monotonic
2024-05-03T21:25:32.071449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 269
 
2.7%
1 240
 
2.4%
0 220
 
2.2%
5 211
 
2.1%
2 204
 
2.0%
6 191
 
1.9%
4 182
 
1.8%
7 172
 
1.7%
10 165
 
1.7%
11 151
 
1.5%
Other values (540) 7995
80.0%
ValueCountFrequency (%)
0 220
2.2%
1 240
2.4%
2 204
2.0%
3 269
2.7%
4 182
1.8%
5 211
2.1%
6 191
1.9%
7 172
1.7%
8 141
1.4%
9 147
1.5%
ValueCountFrequency (%)
15133 6
0.1%
14526 5
0.1%
14147 5
0.1%
13853 7
0.1%
12672 1
 
< 0.1%
11872 9
0.1%
10962 10
0.1%
8935 4
 
< 0.1%
8771 7
0.1%
8425 1
 
< 0.1%

남성연령대_50_직장_인구_수
Real number (ℝ)

ZEROS 

Distinct494
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean207.8149
Minimum0
Maximum10824
Zeros173
Zeros (%)1.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:25:32.539591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q113
median41
Q3121
95-th percentile882
Maximum10824
Range10824
Interquartile range (IQR)108

Descriptive statistics

Standard deviation693.43217
Coefficient of variation (CV)3.3367779
Kurtosis82.291945
Mean207.8149
Median Absolute Deviation (MAD)34
Skewness8.034069
Sum2078149
Variance480848.17
MonotonicityNot monotonic
2024-05-03T21:25:32.912590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
4 302
 
3.0%
3 261
 
2.6%
6 215
 
2.1%
5 202
 
2.0%
7 201
 
2.0%
10 195
 
1.9%
2 193
 
1.9%
1 191
 
1.9%
8 186
 
1.9%
0 173
 
1.7%
Other values (484) 7881
78.8%
ValueCountFrequency (%)
0 173
1.7%
1 191
1.9%
2 193
1.9%
3 261
2.6%
4 302
3.0%
5 202
2.0%
6 215
2.1%
7 201
2.0%
8 186
1.9%
9 162
1.6%
ValueCountFrequency (%)
10824 6
0.1%
9350 5
0.1%
7698 5
0.1%
7083 9
0.1%
6409 7
0.1%
6113 1
 
< 0.1%
5975 1
 
< 0.1%
5914 10
0.1%
5616 4
 
< 0.1%
5411 1
 
< 0.1%

남성연령대_60_이상_직장_인구_수
Real number (ℝ)

ZEROS 

Distinct438
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean124.2575
Minimum0
Maximum5143
Zeros259
Zeros (%)2.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:25:33.281525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q110
median32
Q399.25
95-th percentile584
Maximum5143
Range5143
Interquartile range (IQR)89.25

Descriptive statistics

Standard deviation309.76105
Coefficient of variation (CV)2.4928962
Kurtosis58.572895
Mean124.2575
Median Absolute Deviation (MAD)27
Skewness6.3072887
Sum1242575
Variance95951.908
MonotonicityNot monotonic
2024-05-03T21:25:33.745532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 308
 
3.1%
5 287
 
2.9%
0 259
 
2.6%
1 231
 
2.3%
7 221
 
2.2%
4 216
 
2.2%
8 215
 
2.1%
3 214
 
2.1%
10 198
 
2.0%
9 197
 
2.0%
Other values (428) 7654
76.5%
ValueCountFrequency (%)
0 259
2.6%
1 231
2.3%
2 308
3.1%
3 214
2.1%
4 216
2.2%
5 287
2.9%
6 192
1.9%
7 221
2.2%
8 215
2.1%
9 197
2.0%
ValueCountFrequency (%)
5143 5
0.1%
2772 7
0.1%
2724 6
0.1%
2671 1
 
< 0.1%
2663 1
 
< 0.1%
2640 6
0.1%
2610 1
 
< 0.1%
2591 1
 
< 0.1%
2539 6
0.1%
2442 9
0.1%

여성연령대_10_직장_인구_수
Real number (ℝ)

ZEROS 

Distinct94
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.6886
Minimum0
Maximum674
Zeros6467
Zeros (%)64.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:25:34.165966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q31
95-th percentile19
Maximum674
Range674
Interquartile range (IQR)1

Descriptive statistics

Standard deviation27.090069
Coefficient of variation (CV)5.7778588
Kurtosis312.77393
Mean4.6886
Median Absolute Deviation (MAD)0
Skewness15.269301
Sum46886
Variance733.87182
MonotonicityNot monotonic
2024-05-03T21:25:34.588641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 6467
64.7%
1 1322
 
13.2%
2 576
 
5.8%
3 278
 
2.8%
4 165
 
1.7%
6 110
 
1.1%
7 97
 
1.0%
5 87
 
0.9%
8 87
 
0.9%
11 59
 
0.6%
Other values (84) 752
 
7.5%
ValueCountFrequency (%)
0 6467
64.7%
1 1322
 
13.2%
2 576
 
5.8%
3 278
 
2.8%
4 165
 
1.7%
5 87
 
0.9%
6 110
 
1.1%
7 97
 
1.0%
8 87
 
0.9%
9 57
 
0.6%
ValueCountFrequency (%)
674 7
0.1%
535 1
 
< 0.1%
491 1
 
< 0.1%
394 1
 
< 0.1%
355 1
 
< 0.1%
286 6
0.1%
263 6
0.1%
262 1
 
< 0.1%
241 7
0.1%
202 1
 
< 0.1%

여성연령대_20_직장_인구_수
Real number (ℝ)

ZEROS 

Distinct440
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean200.4161
Minimum0
Maximum18274
Zeros665
Zeros (%)6.7%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:25:34.966079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q15
median20
Q364
95-th percentile879.4
Maximum18274
Range18274
Interquartile range (IQR)59

Descriptive statistics

Standard deviation865.61748
Coefficient of variation (CV)4.3191015
Kurtosis165.9775
Mean200.4161
Median Absolute Deviation (MAD)17
Skewness10.911096
Sum2004161
Variance749293.62
MonotonicityNot monotonic
2024-05-03T21:25:35.435092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 665
 
6.7%
1 484
 
4.8%
2 411
 
4.1%
3 363
 
3.6%
4 321
 
3.2%
5 317
 
3.2%
9 246
 
2.5%
13 226
 
2.3%
7 221
 
2.2%
12 211
 
2.1%
Other values (430) 6535
65.3%
ValueCountFrequency (%)
0 665
6.7%
1 484
4.8%
2 411
4.1%
3 363
3.6%
4 321
3.2%
5 317
3.2%
6 194
 
1.9%
7 221
 
2.2%
8 175
 
1.8%
9 246
 
2.5%
ValueCountFrequency (%)
18274 6
0.1%
14761 1
 
< 0.1%
11007 10
0.1%
10180 1
 
< 0.1%
10001 1
 
< 0.1%
9675 4
 
< 0.1%
9168 1
 
< 0.1%
7719 1
 
< 0.1%
7703 5
0.1%
6002 6
0.1%

여성연령대_30_직장_인구_수
Real number (ℝ)

ZEROS 

Distinct449
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean213.3979
Minimum0
Maximum17927
Zeros419
Zeros (%)4.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:25:35.838381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median25
Q380
95-th percentile908
Maximum17927
Range17927
Interquartile range (IQR)72

Descriptive statistics

Standard deviation887.57865
Coefficient of variation (CV)4.1592661
Kurtosis143.08776
Mean213.3979
Median Absolute Deviation (MAD)21
Skewness10.204019
Sum2133979
Variance787795.86
MonotonicityNot monotonic
2024-05-03T21:25:36.354549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 419
 
4.2%
1 314
 
3.1%
7 311
 
3.1%
5 299
 
3.0%
2 265
 
2.6%
3 258
 
2.6%
8 253
 
2.5%
4 251
 
2.5%
11 247
 
2.5%
6 205
 
2.1%
Other values (439) 7178
71.8%
ValueCountFrequency (%)
0 419
4.2%
1 314
3.1%
2 265
2.6%
3 258
2.6%
4 251
2.5%
5 299
3.0%
6 205
2.1%
7 311
3.1%
8 253
2.5%
9 162
 
1.6%
ValueCountFrequency (%)
17927 6
0.1%
13695 1
 
< 0.1%
11079 10
0.1%
8465 5
0.1%
8455 5
0.1%
8193 1
 
< 0.1%
8182 7
0.1%
7280 1
 
< 0.1%
6845 1
 
< 0.1%
6213 4
 
< 0.1%

여성연령대_40_직장_인구_수
Real number (ℝ)

ZEROS 

Distinct442
Distinct (%)4.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean162.6883
Minimum0
Maximum8474
Zeros253
Zeros (%)2.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:25:36.782742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q111
median32
Q382
95-th percentile643
Maximum8474
Range8474
Interquartile range (IQR)71

Descriptive statistics

Standard deviation582.7936
Coefficient of variation (CV)3.5822711
Kurtosis79.266191
Mean162.6883
Median Absolute Deviation (MAD)25
Skewness8.0599517
Sum1626883
Variance339648.37
MonotonicityNot monotonic
2024-05-03T21:25:37.222053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 263
 
2.6%
0 253
 
2.5%
3 250
 
2.5%
11 233
 
2.3%
5 231
 
2.3%
2 221
 
2.2%
8 221
 
2.2%
12 199
 
2.0%
13 196
 
2.0%
6 190
 
1.9%
Other values (432) 7743
77.4%
ValueCountFrequency (%)
0 253
2.5%
1 263
2.6%
2 221
2.2%
3 250
2.5%
4 174
1.7%
5 231
2.3%
6 190
1.9%
7 154
1.5%
8 221
2.2%
9 165
1.7%
ValueCountFrequency (%)
8474 1
 
< 0.1%
8251 6
0.1%
7449 10
0.1%
5683 7
0.1%
5604 5
0.1%
5451 1
 
< 0.1%
5324 4
 
< 0.1%
5251 4
 
< 0.1%
5093 5
0.1%
4890 5
0.1%

여성연령대_50_직장_인구_수
Real number (ℝ)

ZEROS 

Distinct399
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean123.7257
Minimum0
Maximum8019
Zeros232
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:25:37.865650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q19
median30
Q372
95-th percentile479
Maximum8019
Range8019
Interquartile range (IQR)63

Descriptive statistics

Standard deviation435.20607
Coefficient of variation (CV)3.5175074
Kurtosis128.86752
Mean123.7257
Median Absolute Deviation (MAD)24
Skewness9.8331345
Sum1237257
Variance189404.32
MonotonicityNot monotonic
2024-05-03T21:25:38.544733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 311
 
3.1%
6 299
 
3.0%
1 288
 
2.9%
5 283
 
2.8%
8 258
 
2.6%
4 248
 
2.5%
0 232
 
2.3%
3 216
 
2.2%
7 215
 
2.1%
10 191
 
1.9%
Other values (389) 7459
74.6%
ValueCountFrequency (%)
0 232
2.3%
1 288
2.9%
2 311
3.1%
3 216
2.2%
4 248
2.5%
5 283
2.8%
6 299
3.0%
7 215
2.1%
8 258
2.6%
9 163
1.6%
ValueCountFrequency (%)
8019 7
0.1%
6733 4
< 0.1%
5812 1
 
< 0.1%
4902 6
0.1%
4275 1
 
< 0.1%
3909 7
0.1%
3891 5
0.1%
3794 6
0.1%
3757 9
0.1%
3243 3
 
< 0.1%

여성연령대_60_이상_직장_인구_수
Real number (ℝ)

ZEROS 

Distinct303
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.6862
Minimum0
Maximum3412
Zeros564
Zeros (%)5.6%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-03T21:25:39.084136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median14
Q340
95-th percentile262
Maximum3412
Range3412
Interquartile range (IQR)36

Descriptive statistics

Standard deviation178.16405
Coefficient of variation (CV)2.9358248
Kurtosis65.737008
Mean60.6862
Median Absolute Deviation (MAD)12
Skewness7.1169293
Sum606862
Variance31742.429
MonotonicityNot monotonic
2024-05-03T21:25:39.651131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 599
 
6.0%
0 564
 
5.6%
2 490
 
4.9%
4 450
 
4.5%
3 410
 
4.1%
5 403
 
4.0%
9 304
 
3.0%
6 303
 
3.0%
8 288
 
2.9%
11 278
 
2.8%
Other values (293) 5911
59.1%
ValueCountFrequency (%)
0 564
5.6%
1 599
6.0%
2 490
4.9%
3 410
4.1%
4 450
4.5%
5 403
4.0%
6 303
3.0%
7 273
2.7%
8 288
2.9%
9 304
3.0%
ValueCountFrequency (%)
3412 1
 
< 0.1%
2130 6
0.1%
2121 3
< 0.1%
1946 5
0.1%
1928 6
0.1%
1847 1
 
< 0.1%
1752 7
0.1%
1701 1
 
< 0.1%
1658 1
 
< 0.1%
1614 1
 
< 0.1%

Sample

기준_년분기_코드상권_구분_코드상권_구분_코드_명상권_코드상권_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
1142120213A골목상권3110368송천초등학교1991782109163971640511346662045552
151120191A골목상권3110234중랑역 4번43127415713572110129841163571866501937394319
692720223A골목상권3110136경수초등학교47452743200243116910979788755833243963361559343111730464363282152
1517220204A골목상권3111006석촌고분역 1번11127213910127292337203153056169242135119071123956834
1932520204R전통시장3130197마포시장15510001545001022000523
1555420213D발달상권3120224수서역12418633960792319003177316723461805128601669149712321069111040150816701114736
2797120234A골목상권3110711구로초등학교81532948646212216528717522670817476236528421399
2525220232A골목상권3110632방화역 3번10758871882421274003341701219035328114112137475329
387020221A골목상권3110123마장역 3번5113821290425691185137021366314112102120284416
275820212D발달상권3120228석촌역(석촌호수)44942725176977071306103869574112888516804104956419455358285246
기준_년분기_코드상권_구분_코드상권_구분_코드_명상권_코드상권_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
1803320194A골목상권3110137성수초등학교66054295231031101617401836134463822557115212508284869459588586516152
152420191A골목상권3110387쌍문초등학교27916611313961735550017414126411222032299
2212420204A골목상권3110151자양한강도서관2491757443552636629324374941211111514258
18720191A골목상권3110923방배역 1번895534010152628100491618806610102
1905220203R전통시장3130042약수시장158679123630402129299198200272121139
1803720194A골목상권3110175푸른동산공원3672331340417310886590244869533901725393320
1157320213R전통시장3130056용산용문시장653431071518101504676110391144
493420221D발달상권3120076수유역1930865106572413034224654924621021762402813179201246225211
1354920213A골목상권3110962도산공원북측5327260201110840117630094454
556420222D발달상권3120024회현역216713648032341795582250197114647341619213611953221665861