Overview

Dataset statistics

Number of variables24
Number of observations500
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory105.1 KiB
Average record size in memory215.3 B

Variable types

Numeric23
Categorical1

Dataset

Description기준_년분기_코드,자치구_코드,자치구_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-22185/S/1/datasetView.do

Reproduction

Analysis started2024-05-04 05:55:51.068833
Analysis finished2024-05-04 05:55:51.329386
Duration0.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준_년분기_코드
Real number (ℝ)

Distinct20
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20212.5
Minimum20191
Maximum20234
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-04T05:55:51.690895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20191
5-th percentile20191.95
Q120201.75
median20212.5
Q320223.25
95-th percentile20233.05
Maximum20234
Range43
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation14.200469
Coefficient of variation (CV)0.00070255874
Kurtosis-1.2847895
Mean20212.5
Median Absolute Deviation (MAD)11
Skewness0
Sum10106250
Variance201.65331
MonotonicityNot monotonic
2024-05-04T05:55:52.247155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
20191 25
 
5.0%
20212 25
 
5.0%
20232 25
 
5.0%
20231 25
 
5.0%
20233 25
 
5.0%
20234 25
 
5.0%
20223 25
 
5.0%
20222 25
 
5.0%
20221 25
 
5.0%
20213 25
 
5.0%
Other values (10) 250
50.0%
ValueCountFrequency (%)
20191 25
5.0%
20192 25
5.0%
20193 25
5.0%
20194 25
5.0%
20201 25
5.0%
20202 25
5.0%
20203 25
5.0%
20204 25
5.0%
20211 25
5.0%
20212 25
5.0%
ValueCountFrequency (%)
20234 25
5.0%
20233 25
5.0%
20232 25
5.0%
20231 25
5.0%
20224 25
5.0%
20223 25
5.0%
20222 25
5.0%
20221 25
5.0%
20214 25
5.0%
20213 25
5.0%

자치구_코드
Real number (ℝ)

Distinct25
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11416.6
Minimum11110
Maximum11740
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-04T05:55:52.676450image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11110
5-th percentile11140
Q111260
median11410
Q311560
95-th percentile11710
Maximum11740
Range630
Interquartile range (IQR)300

Descriptive statistics

Standard deviation186.52889
Coefficient of variation (CV)0.016338392
Kurtosis-1.200639
Mean11416.6
Median Absolute Deviation (MAD)150
Skewness0.07831066
Sum5708300
Variance34793.026
MonotonicityNot monotonic
2024-05-04T05:55:53.148662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
11110 20
 
4.0%
11140 20
 
4.0%
11740 20
 
4.0%
11710 20
 
4.0%
11680 20
 
4.0%
11650 20
 
4.0%
11620 20
 
4.0%
11590 20
 
4.0%
11560 20
 
4.0%
11545 20
 
4.0%
Other values (15) 300
60.0%
ValueCountFrequency (%)
11110 20
4.0%
11140 20
4.0%
11170 20
4.0%
11200 20
4.0%
11215 20
4.0%
11230 20
4.0%
11260 20
4.0%
11290 20
4.0%
11305 20
4.0%
11320 20
4.0%
ValueCountFrequency (%)
11740 20
4.0%
11710 20
4.0%
11680 20
4.0%
11650 20
4.0%
11620 20
4.0%
11590 20
4.0%
11560 20
4.0%
11545 20
4.0%
11530 20
4.0%
11500 20
4.0%
Distinct25
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
종로구
 
20
중구
 
20
용산구
 
20
성동구
 
20
광진구
 
20
Other values (20)
400 

Length

Max length4
Median length3
Mean length3.08
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
종로구 20
 
4.0%
중구 20
 
4.0%
용산구 20
 
4.0%
성동구 20
 
4.0%
광진구 20
 
4.0%
동대문구 20
 
4.0%
중랑구 20
 
4.0%
성북구 20
 
4.0%
강북구 20
 
4.0%
도봉구 20
 
4.0%
Other values (15) 300
60.0%

Length

2024-05-04T05:55:53.903559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
종로구 20
 
4.0%
마포구 20
 
4.0%
송파구 20
 
4.0%
강남구 20
 
4.0%
서초구 20
 
4.0%
관악구 20
 
4.0%
동작구 20
 
4.0%
영등포구 20
 
4.0%
금천구 20
 
4.0%
구로구 20
 
4.0%
Other values (15) 300
60.0%

총_직장_인구_수
Real number (ℝ)

Distinct75
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean192927.32
Minimum28246
Maximum1235075
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-04T05:55:54.573998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28246
5-th percentile36388
Q172879
median110756
Q3187487.25
95-th percentile576938
Maximum1235075
Range1206829
Interquartile range (IQR)114608.25

Descriptive statistics

Standard deviation232274.68
Coefficient of variation (CV)1.2039491
Kurtosis7.9398503
Mean192927.32
Median Absolute Deviation (MAD)44591
Skewness2.7387462
Sum96463662
Variance5.3951527 × 1010
MonotonicityNot monotonic
2024-05-04T05:55:55.279103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1121201 17
 
3.4%
39323 17
 
3.4%
397723 17
 
3.4%
126426 17
 
3.4%
139820 17
 
3.4%
149719 17
 
3.4%
72879 17
 
3.4%
139602 17
 
3.4%
142802 17
 
3.4%
576938 17
 
3.4%
Other values (65) 330
66.0%
ValueCountFrequency (%)
28246 17
3.4%
29167 2
 
0.4%
36388 17
3.4%
37493 2
 
0.4%
37519 1
 
0.2%
39323 17
3.4%
40481 1
 
0.2%
41118 2
 
0.4%
48907 17
3.4%
50794 2
 
0.4%
ValueCountFrequency (%)
1235075 2
 
0.4%
1121201 17
3.4%
818991 1
 
0.2%
576938 17
3.4%
553753 2
 
0.4%
527572 1
 
0.2%
503683 1
 
0.2%
491800 1
 
0.2%
399728 17
3.4%
397723 17
3.4%

남성_직장_인구_수
Real number (ℝ)

Distinct75
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean117472.5
Minimum15318
Maximum771046
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-04T05:55:55.991124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15318
5-th percentile21016
Q140055
median68072
Q3109759
95-th percentile379864
Maximum771046
Range755728
Interquartile range (IQR)69704

Descriptive statistics

Standard deviation146053.73
Coefficient of variation (CV)1.2433015
Kurtosis7.4681709
Mean117472.5
Median Absolute Deviation (MAD)30922
Skewness2.6794212
Sum58736248
Variance2.1331693 × 1010
MonotonicityNot monotonic
2024-05-04T05:55:56.501994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
692359 17
 
3.4%
22987 17
 
3.4%
271138 17
 
3.4%
80969 17
 
3.4%
88338 17
 
3.4%
84438 17
 
3.4%
40055 17
 
3.4%
84751 17
 
3.4%
81766 17
 
3.4%
379864 17
 
3.4%
Other values (65) 330
66.0%
ValueCountFrequency (%)
15318 17
3.4%
15823 2
 
0.4%
18024 1
 
0.2%
20322 1
 
0.2%
21016 17
3.4%
21542 2
 
0.4%
22987 17
3.4%
23906 2
 
0.4%
24517 1
 
0.2%
25944 17
3.4%
ValueCountFrequency (%)
771046 2
 
0.4%
692359 17
3.4%
438769 1
 
0.2%
379864 17
3.4%
362789 2
 
0.4%
308507 1
 
0.2%
303228 1
 
0.2%
285894 1
 
0.2%
271138 17
3.4%
257207 2
 
0.4%

여성_직장_인구_수
Real number (ℝ)

Distinct75
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean75454.828
Minimum12928
Maximum464029
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-04T05:55:57.106838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12928
5-th percentile15372
Q130688
median42684
Q378923
95-th percentile197074
Maximum464029
Range451101
Interquartile range (IQR)48235

Descriptive statistics

Standard deviation87045.91
Coefficient of variation (CV)1.1536162
Kurtosis8.5574636
Mean75454.828
Median Absolute Deviation (MAD)18352
Skewness2.8257192
Sum37727414
Variance7.5769904 × 109
MonotonicityNot monotonic
2024-05-04T05:55:57.516067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
428842 17
 
3.4%
16336 17
 
3.4%
126585 17
 
3.4%
45457 17
 
3.4%
51482 17
 
3.4%
65281 17
 
3.4%
32824 17
 
3.4%
54851 17
 
3.4%
61036 17
 
3.4%
197074 17
 
3.4%
Other values (65) 330
66.0%
ValueCountFrequency (%)
12928 17
3.4%
13344 2
 
0.4%
15372 17
3.4%
15951 2
 
0.4%
16336 17
3.4%
17212 2
 
0.4%
19495 1
 
0.2%
20159 1
 
0.2%
22963 17
3.4%
24440 2
 
0.4%
ValueCountFrequency (%)
464029 2
 
0.4%
428842 17
3.4%
380222 1
 
0.2%
241678 1
 
0.2%
197074 17
3.4%
195176 1
 
0.2%
190964 2
 
0.4%
188572 1
 
0.2%
178153 2
 
0.4%
152047 17
3.4%
Distinct72
Distinct (%)14.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean686.022
Minimum43
Maximum5184
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-04T05:55:57.912369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum43
5-th percentile60
Q1185
median426
Q3781
95-th percentile2080
Maximum5184
Range5141
Interquartile range (IQR)596

Descriptive statistics

Standard deviation879.18455
Coefficient of variation (CV)1.281569
Kurtosis7.1111262
Mean686.022
Median Absolute Deviation (MAD)270
Skewness2.5808149
Sum343011
Variance772965.48
MonotonicityNot monotonic
2024-05-04T05:55:58.560454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
60 34
 
6.8%
159 19
 
3.8%
218 17
 
3.4%
883 17
 
3.4%
188 17
 
3.4%
4106 17
 
3.4%
1860 17
 
3.4%
584 17
 
3.4%
457 17
 
3.4%
690 17
 
3.4%
Other values (62) 311
62.2%
ValueCountFrequency (%)
43 2
 
0.4%
45 2
 
0.4%
60 34
6.8%
61 2
 
0.4%
86 17
3.4%
93 17
3.4%
104 1
 
0.2%
108 2
 
0.4%
110 2
 
0.4%
120 1
 
0.2%
ValueCountFrequency (%)
5184 1
 
0.2%
4106 17
3.4%
3135 1
 
0.2%
3092 2
 
0.4%
2771 1
 
0.2%
2080 17
3.4%
2004 1
 
0.2%
1860 17
3.4%
1697 1
 
0.2%
1551 1
 
0.2%
Distinct75
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33506.206
Minimum2810
Maximum229323
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-04T05:55:59.130230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2810
5-th percentile4188
Q19569
median14986
Q336914
95-th percentile98451
Maximum229323
Range226513
Interquartile range (IQR)27345

Descriptive statistics

Standard deviation45572.249
Coefficient of variation (CV)1.3601137
Kurtosis9.1684702
Mean33506.206
Median Absolute Deviation (MAD)7914
Skewness2.9383517
Sum16753103
Variance2.0768299 × 109
MonotonicityNot monotonic
2024-05-04T05:55:59.873857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
222509 17
 
3.4%
4789 17
 
3.4%
69160 17
 
3.4%
20839 17
 
3.4%
22190 17
 
3.4%
21945 17
 
3.4%
10949 17
 
3.4%
21615 17
 
3.4%
27469 17
 
3.4%
98451 17
 
3.4%
Other values (65) 330
66.0%
ValueCountFrequency (%)
2810 2
 
0.4%
2897 17
3.4%
4136 2
 
0.4%
4188 17
3.4%
4502 1
 
0.2%
4715 1
 
0.2%
4729 2
 
0.4%
4789 17
3.4%
5949 17
3.4%
6020 2
 
0.4%
ValueCountFrequency (%)
229323 2
 
0.4%
222509 17
3.4%
196723 1
 
0.2%
114197 1
 
0.2%
98451 17
3.4%
92300 1
 
0.2%
89195 2
 
0.4%
85340 1
 
0.2%
73557 2
 
0.4%
73159 17
3.4%
Distinct75
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53820.362
Minimum4960
Maximum389580
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-04T05:56:00.451503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4960
5-th percentile7346
Q115714
median26692
Q352262.25
95-th percentile158671
Maximum389580
Range384620
Interquartile range (IQR)36548.25

Descriptive statistics

Standard deviation72599.906
Coefficient of variation (CV)1.3489301
Kurtosis8.7704641
Mean53820.362
Median Absolute Deviation (MAD)12994
Skewness2.8631404
Sum26910181
Variance5.2707463 × 109
MonotonicityNot monotonic
2024-05-04T05:56:01.293415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
349760 17
 
3.4%
8220 17
 
3.4%
128297 17
 
3.4%
33467 17
 
3.4%
38200 17
 
3.4%
38461 17
 
3.4%
17869 17
 
3.4%
34803 17
 
3.4%
38597 17
 
3.4%
158671 17
 
3.4%
Other values (65) 330
66.0%
ValueCountFrequency (%)
4960 17
3.4%
5226 2
 
0.4%
7077 1
 
0.2%
7204 2
 
0.4%
7257 1
 
0.2%
7346 17
3.4%
8220 17
3.4%
8237 2
 
0.4%
10342 17
3.4%
10516 2
 
0.4%
ValueCountFrequency (%)
389580 2
 
0.4%
349760 17
3.4%
251619 1
 
0.2%
166446 1
 
0.2%
158671 17
3.4%
157360 2
 
0.4%
157210 1
 
0.2%
138559 1
 
0.2%
128297 17
3.4%
125405 2
 
0.4%
Distinct75
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean49093.838
Minimum6667
Maximum321061
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-04T05:56:01.874009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6667
5-th percentile8875
Q117028
median29737
Q346994.25
95-th percentile146824
Maximum321061
Range314394
Interquartile range (IQR)29966.25

Descriptive statistics

Standard deviation60064.207
Coefficient of variation (CV)1.2234571
Kurtosis7.8210406
Mean49093.838
Median Absolute Deviation (MAD)13974
Skewness2.7085531
Sum24546919
Variance3.6077089 × 109
MonotonicityNot monotonic
2024-05-04T05:56:02.542174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
288311 17
 
3.4%
9821 17
 
3.4%
104859 17
 
3.4%
29737 17
 
3.4%
35038 17
 
3.4%
38053 17
 
3.4%
17613 17
 
3.4%
34435 17
 
3.4%
34944 17
 
3.4%
146824 17
 
3.4%
Other values (65) 330
66.0%
ValueCountFrequency (%)
6667 17
3.4%
6845 2
 
0.4%
8771 2
 
0.4%
8875 17
3.4%
9043 1
 
0.2%
9600 1
 
0.2%
9821 17
3.4%
9991 2
 
0.4%
12099 17
3.4%
12556 2
 
0.4%
ValueCountFrequency (%)
321061 2
 
0.4%
288311 17
3.4%
184338 1
 
0.2%
146824 17
3.4%
143522 2
 
0.4%
135665 1
 
0.2%
129262 1
 
0.2%
126483 1
 
0.2%
105539 2
 
0.4%
104859 17
3.4%
Distinct75
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37529.546
Minimum7410
Maximum205912
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-04T05:56:03.116240image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7410
5-th percentile9363
Q117024
median22396
Q334381.5
95-th percentile125676
Maximum205912
Range198502
Interquartile range (IQR)17357.5

Descriptive statistics

Standard deviation39609.155
Coefficient of variation (CV)1.0554126
Kurtosis5.3911738
Mean37529.546
Median Absolute Deviation (MAD)7643
Skewness2.3832741
Sum18764773
Variance1.5688851 × 109
MonotonicityNot monotonic
2024-05-04T05:56:03.613703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
180846 17
 
3.4%
10243 17
 
3.4%
66313 17
 
3.4%
22396 17
 
3.4%
27403 17
 
3.4%
32914 17
 
3.4%
16085 17
 
3.4%
30039 17
 
3.4%
26302 17
 
3.4%
125676 17
 
3.4%
Other values (65) 330
66.0%
ValueCountFrequency (%)
7410 17
3.4%
7634 2
 
0.4%
9363 17
3.4%
9518 2
 
0.4%
9718 1
 
0.2%
10243 17
3.4%
10655 2
 
0.4%
10775 1
 
0.2%
11927 17
3.4%
12574 2
 
0.4%
ValueCountFrequency (%)
205912 2
 
0.4%
180846 17
3.4%
125676 17
3.4%
117646 2
 
0.4%
113703 1
 
0.2%
100975 1
 
0.2%
92570 17
3.4%
87678 2
 
0.4%
79969 1
 
0.2%
79489 1
 
0.2%
Distinct74
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18291.35
Minimum6164
Maximum86107
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-04T05:56:04.067011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6164
5-th percentile6252
Q110148
median12785
Q318746
95-th percentile45456
Maximum86107
Range79943
Interquartile range (IQR)8598

Descriptive statistics

Standard deviation15385.827
Coefficient of variation (CV)0.84115318
Kurtosis6.1313137
Mean18291.35
Median Absolute Deviation (MAD)3898
Skewness2.4721391
Sum9145675
Variance2.3672368 × 108
MonotonicityNot monotonic
2024-05-04T05:56:04.720479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18253 18
 
3.6%
75669 17
 
3.4%
6164 17
 
3.4%
28092 17
 
3.4%
19561 17
 
3.4%
16542 17
 
3.4%
18057 17
 
3.4%
14906 17
 
3.4%
10148 17
 
3.4%
45456 17
 
3.4%
Other values (64) 329
65.8%
ValueCountFrequency (%)
6164 17
3.4%
6252 17
3.4%
6556 17
3.4%
6609 2
 
0.4%
7059 1
 
0.2%
7461 2
 
0.4%
7803 2
 
0.4%
7995 1
 
0.2%
8030 1
 
0.2%
8278 1
 
0.2%
ValueCountFrequency (%)
86107 2
 
0.4%
75669 17
3.4%
67424 1
 
0.2%
45456 17
3.4%
44699 2
 
0.4%
43362 1
 
0.2%
43291 17
3.4%
40968 2
 
0.4%
39276 1
 
0.2%
38948 1
 
0.2%
Distinct72
Distinct (%)14.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean316.118
Minimum21
Maximum1938
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-04T05:56:05.258483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum21
5-th percentile45
Q183
median177
Q3353.75
95-th percentile897
Maximum1938
Range1917
Interquartile range (IQR)270.75

Descriptive statistics

Standard deviation385.02639
Coefficient of variation (CV)1.2179831
Kurtosis8.2214016
Mean316.118
Median Absolute Deviation (MAD)106
Skewness2.763406
Sum158059
Variance148245.32
MonotonicityNot monotonic
2024-05-04T05:56:05.708285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
49 34
 
6.8%
87 17
 
3.4%
279 17
 
3.4%
83 17
 
3.4%
897 17
 
3.4%
45 17
 
3.4%
39 17
 
3.4%
302 17
 
3.4%
1902 17
 
3.4%
283 17
 
3.4%
Other values (62) 313
62.6%
ValueCountFrequency (%)
21 2
 
0.4%
29 2
 
0.4%
39 17
3.4%
45 17
3.4%
47 2
 
0.4%
49 34
6.8%
52 1
 
0.2%
61 1
 
0.2%
64 2
 
0.4%
65 1
 
0.2%
ValueCountFrequency (%)
1938 1
 
0.2%
1902 17
3.4%
1348 2
 
0.4%
1296 1
 
0.2%
1012 1
 
0.2%
897 17
3.4%
822 17
3.4%
707 1
 
0.2%
676 2
 
0.4%
647 1
 
0.2%
Distinct75
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15355.47
Minimum1067
Maximum104663
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-04T05:56:06.257085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1067
5-th percentile1860
Q14406
median7095
Q314857
95-th percentile47465
Maximum104663
Range103596
Interquartile range (IQR)10451

Descriptive statistics

Standard deviation21167.229
Coefficient of variation (CV)1.3784813
Kurtosis9.1613155
Mean15355.47
Median Absolute Deviation (MAD)4255
Skewness2.9429306
Sum7677735
Variance4.4805157 × 108
MonotonicityNot monotonic
2024-05-04T05:56:06.728519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
103681 17
 
3.4%
2026 17
 
3.4%
36303 17
 
3.4%
11095 17
 
3.4%
11350 17
 
3.4%
8511 17
 
3.4%
4877 17
 
3.4%
9808 17
 
3.4%
12168 17
 
3.4%
47465 17
 
3.4%
Other values (65) 330
66.0%
ValueCountFrequency (%)
1067 2
 
0.4%
1101 17
3.4%
1570 1
 
0.2%
1582 1
 
0.2%
1640 2
 
0.4%
1860 17
3.4%
1993 2
 
0.4%
2026 17
3.4%
2361 1
 
0.2%
2400 1
 
0.2%
ValueCountFrequency (%)
104663 2
 
0.4%
103681 17
3.4%
76037 1
 
0.2%
47465 17
3.4%
46555 1
 
0.2%
42269 2
 
0.4%
39035 1
 
0.2%
38850 1
 
0.2%
36303 17
3.4%
30517 2
 
0.4%
Distinct75
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32681.916
Minimum2448
Maximum244903
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-04T05:56:07.212516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2448
5-th percentile4098
Q18940
median15041
Q329885.75
95-th percentile101106
Maximum244903
Range242455
Interquartile range (IQR)20945.75

Descriptive statistics

Standard deviation45809.293
Coefficient of variation (CV)1.401671
Kurtosis8.643986
Mean32681.916
Median Absolute Deviation (MAD)8820
Skewness2.8598397
Sum16340958
Variance2.0984913 × 109
MonotonicityNot monotonic
2024-05-04T05:56:07.679810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
218684 17
 
3.4%
4334 17
 
3.4%
89831 17
 
3.4%
21923 17
 
3.4%
24812 17
 
3.4%
20182 17
 
3.4%
9910 17
 
3.4%
20778 17
 
3.4%
21958 17
 
3.4%
101106 17
 
3.4%
Other values (65) 330
66.0%
ValueCountFrequency (%)
2448 17
3.4%
2632 2
 
0.4%
3318 1
 
0.2%
3320 1
 
0.2%
3916 2
 
0.4%
4098 17
3.4%
4334 17
3.4%
4418 2
 
0.4%
4822 1
 
0.2%
5178 1
 
0.2%
ValueCountFrequency (%)
244903 2
 
0.4%
218684 17
3.4%
142117 1
 
0.2%
101106 17
3.4%
100644 2
 
0.4%
98987 1
 
0.2%
89831 17
3.4%
86974 1
 
0.2%
84396 2
 
0.4%
83953 1
 
0.2%
Distinct75
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean32117.04
Minimum3505
Maximum225623
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-04T05:56:08.177676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3505
5-th percentile4967
Q19932
median18605
Q330065.5
95-th percentile102152
Maximum225623
Range222118
Interquartile range (IQR)20133.5

Descriptive statistics

Standard deviation42153.602
Coefficient of variation (CV)1.3124996
Kurtosis7.8901502
Mean32117.04
Median Absolute Deviation (MAD)9967
Skewness2.7309366
Sum16058520
Variance1.7769261 × 109
MonotonicityNot monotonic
2024-05-04T05:56:08.654942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
199837 17
 
3.4%
5422 17
 
3.4%
78063 17
 
3.4%
20122 17
 
3.4%
22851 17
 
3.4%
21829 17
 
3.4%
10069 17
 
3.4%
21413 17
 
3.4%
21461 17
 
3.4%
102152 17
 
3.4%
Other values (65) 330
66.0%
ValueCountFrequency (%)
3505 17
3.4%
3586 2
 
0.4%
4241 1
 
0.2%
4481 1
 
0.2%
4951 2
 
0.4%
4967 17
3.4%
5422 17
3.4%
5526 2
 
0.4%
6112 1
 
0.2%
6132 17
3.4%
ValueCountFrequency (%)
225623 2
 
0.4%
199837 17
3.4%
114053 1
 
0.2%
102152 17
3.4%
100198 2
 
0.4%
85763 1
 
0.2%
85097 1
 
0.2%
82101 1
 
0.2%
78063 17
3.4%
75051 2
 
0.4%
Distinct74
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean24592.748
Minimum4336
Maximum137722
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-04T05:56:09.195637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4336
5-th percentile5332
Q19418
median13938
Q322534
95-th percentile95623
Maximum137722
Range133386
Interquartile range (IQR)13116

Descriptive statistics

Standard deviation27507.302
Coefficient of variation (CV)1.1185127
Kurtosis4.5957834
Mean24592.748
Median Absolute Deviation (MAD)5530
Skewness2.2718822
Sum12296374
Variance7.5665167 × 108
MonotonicityNot monotonic
2024-05-04T05:56:09.799508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
118081 17
 
3.4%
59194 17
 
3.4%
8427 17
 
3.4%
5332 17
 
3.4%
10005 17
 
3.4%
4336 17
 
3.4%
95623 17
 
3.4%
15845 17
 
3.4%
19111 17
 
3.4%
19468 17
 
3.4%
Other values (64) 330
66.0%
ValueCountFrequency (%)
4336 17
3.4%
4409 2
 
0.4%
4910 1
 
0.2%
5332 17
3.4%
5548 2
 
0.4%
5589 1
 
0.2%
6203 17
3.4%
6387 17
3.4%
6390 2
 
0.4%
6435 1
 
0.2%
ValueCountFrequency (%)
137722 2
 
0.4%
118081 17
3.4%
95623 17
3.4%
87484 2
 
0.4%
71705 1
 
0.2%
63418 1
 
0.2%
59194 17
3.4%
57184 2
 
0.4%
53295 1
 
0.2%
51384 1
 
0.2%
Distinct75
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12409.204
Minimum3889
Maximum56787
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-04T05:56:10.358444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3889
5-th percentile4714
Q16658
median8149
Q312851
95-th percentile32621
Maximum56787
Range52898
Interquartile range (IQR)6193

Descriptive statistics

Standard deviation10414.443
Coefficient of variation (CV)0.83925146
Kurtosis5.3439749
Mean12409.204
Median Absolute Deviation (MAD)2583
Skewness2.3528614
Sum6204602
Variance1.0846061 × 108
MonotonicityNot monotonic
2024-05-04T05:56:10.863553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
50174 17
 
3.4%
4769 17
 
3.4%
19052 17
 
3.4%
13613 17
 
3.4%
11756 17
 
3.4%
12453 17
 
3.4%
6488 17
 
3.4%
13358 17
 
3.4%
10032 17
 
3.4%
32621 17
 
3.4%
Other values (65) 330
66.0%
ValueCountFrequency (%)
3889 17
3.4%
3920 1
 
0.2%
4100 2
 
0.4%
4672 1
 
0.2%
4714 17
3.4%
4769 17
3.4%
5208 1
 
0.2%
5298 1
 
0.2%
5367 1
 
0.2%
5440 2
 
0.4%
ValueCountFrequency (%)
56787 2
 
0.4%
50174 17
3.4%
41206 1
 
0.2%
32621 17
3.4%
31518 2
 
0.4%
29917 17
3.4%
29248 2
 
0.4%
28195 1
 
0.2%
26724 1
 
0.2%
25598 1
 
0.2%
Distinct70
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean369.904
Minimum14
Maximum3246
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-04T05:56:11.282318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum14
5-th percentile21
Q176
median164
Q3415
95-th percentile1258
Maximum3246
Range3232
Interquartile range (IQR)339

Descriptive statistics

Standard deviation501.24975
Coefficient of variation (CV)1.3550806
Kurtosis6.4252941
Mean369.904
Median Absolute Deviation (MAD)118
Skewness2.443399
Sum184952
Variance251251.31
MonotonicityNot monotonic
2024-05-04T05:56:11.937224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
72 19
 
3.8%
44 19
 
3.8%
2204 17
 
3.4%
282 17
 
3.4%
21 17
 
3.4%
15 17
 
3.4%
76 17
 
3.4%
75 17
 
3.4%
174 17
 
3.4%
37 17
 
3.4%
Other values (60) 326
65.2%
ValueCountFrequency (%)
14 4
 
0.8%
15 17
3.4%
21 17
3.4%
24 2
 
0.4%
37 17
3.4%
41 2
 
0.4%
44 19
3.8%
52 1
 
0.2%
55 3
 
0.6%
64 2
 
0.4%
ValueCountFrequency (%)
3246 1
 
0.2%
2204 17
3.4%
1839 1
 
0.2%
1759 1
 
0.2%
1744 2
 
0.4%
1297 1
 
0.2%
1258 17
3.4%
1050 1
 
0.2%
1001 1
 
0.2%
963 17
3.4%
Distinct75
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18150.736
Minimum1743
Maximum124660
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-04T05:56:12.408618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1743
5-th percentile2328
Q15163
median8187
Q322643
95-th percentile50986
Maximum124660
Range122917
Interquartile range (IQR)17480

Descriptive statistics

Standard deviation24562.193
Coefficient of variation (CV)1.353234
Kurtosis9.0396245
Mean18150.736
Median Absolute Deviation (MAD)4805
Skewness2.9172232
Sum9075368
Variance6.0330134 × 108
MonotonicityNot monotonic
2024-05-04T05:56:13.018829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
118828 17
 
3.4%
2763 17
 
3.4%
32857 17
 
3.4%
9744 17
 
3.4%
10840 17
 
3.4%
13434 17
 
3.4%
6072 17
 
3.4%
11807 17
 
3.4%
15301 17
 
3.4%
50986 17
 
3.4%
Other values (65) 330
66.0%
ValueCountFrequency (%)
1743 2
 
0.4%
1796 17
3.4%
2328 17
3.4%
2496 2
 
0.4%
2736 2
 
0.4%
2763 17
3.4%
2932 1
 
0.2%
3133 1
 
0.2%
3382 17
3.4%
3437 2
 
0.4%
ValueCountFrequency (%)
124660 2
 
0.4%
120686 1
 
0.2%
118828 17
3.4%
67642 1
 
0.2%
53450 1
 
0.2%
50986 17
3.4%
46926 2
 
0.4%
46305 1
 
0.2%
46092 2
 
0.4%
44759 17
3.4%
Distinct75
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21138.446
Minimum2512
Maximum144677
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-04T05:56:13.553508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2512
5-th percentile3248
Q16593
median11544
Q322990
95-th percentile57565
Maximum144677
Range142165
Interquartile range (IQR)16397

Descriptive statistics

Standard deviation27101.497
Coefficient of variation (CV)1.2820951
Kurtosis8.6021006
Mean21138.446
Median Absolute Deviation (MAD)6041
Skewness2.8301521
Sum10569223
Variance7.3449117 × 108
MonotonicityNot monotonic
2024-05-04T05:56:14.303083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
131076 17
 
3.4%
3886 17
 
3.4%
38466 17
 
3.4%
11544 17
 
3.4%
13388 17
 
3.4%
18279 17
 
3.4%
7959 17
 
3.4%
14025 17
 
3.4%
16639 17
 
3.4%
57565 17
 
3.4%
Other values (65) 330
66.0%
ValueCountFrequency (%)
2512 17
3.4%
2594 2
 
0.4%
3248 17
3.4%
3288 2
 
0.4%
3759 1
 
0.2%
3819 2
 
0.4%
3886 17
3.4%
3937 1
 
0.2%
4915 17
3.4%
5126 2
 
0.4%
ValueCountFrequency (%)
144677 2
 
0.4%
131076 17
3.4%
109502 1
 
0.2%
79472 1
 
0.2%
59573 2
 
0.4%
58223 1
 
0.2%
57565 17
3.4%
56716 2
 
0.4%
54606 1
 
0.2%
49232 17
3.4%
Distinct75
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16976.798
Minimum3162
Maximum95438
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-04T05:56:14.726894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3162
5-th percentile3908
Q17019
median9615
Q316685.25
95-th percentile44672
Maximum95438
Range92276
Interquartile range (IQR)9666.25

Descriptive statistics

Standard deviation18087.51
Coefficient of variation (CV)1.0654253
Kurtosis7.3881564
Mean16976.798
Median Absolute Deviation (MAD)3648
Skewness2.6250628
Sum8488399
Variance3.2715802 × 108
MonotonicityNot monotonic
2024-05-04T05:56:15.214132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
88474 17
 
3.4%
4399 17
 
3.4%
26796 17
 
3.4%
9615 17
 
3.4%
12187 17
 
3.4%
16224 17
 
3.4%
7544 17
 
3.4%
13022 17
 
3.4%
13483 17
 
3.4%
44672 17
 
3.4%
Other values (65) 330
66.0%
ValueCountFrequency (%)
3162 17
3.4%
3259 2
 
0.4%
3820 2
 
0.4%
3908 17
3.4%
4399 17
3.4%
4465 2
 
0.4%
4802 1
 
0.2%
5119 1
 
0.2%
5689 2
 
0.4%
5967 17
3.4%
ValueCountFrequency (%)
95438 2
 
0.4%
88474 17
3.4%
70285 1
 
0.2%
53564 1
 
0.2%
44672 17
3.4%
43499 1
 
0.2%
43324 2
 
0.4%
42561 2
 
0.4%
41386 1
 
0.2%
35101 17
3.4%
Distinct75
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12936.798
Minimum3074
Maximum68190
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-04T05:56:15.626555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3074
5-th percentile3856
Q16732
median8458
Q311848.5
95-th percentile33376
Maximum68190
Range65116
Interquartile range (IQR)5116.5

Descriptive statistics

Standard deviation12538.441
Coefficient of variation (CV)0.96920748
Kurtosis7.7487529
Mean12936.798
Median Absolute Deviation (MAD)2092
Skewness2.7351156
Sum6468399
Variance1.5721251 × 108
MonotonicityNot monotonic
2024-05-04T05:56:16.078434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
62765 17
 
3.4%
3856 17
 
3.4%
18814 17
 
3.4%
8458 17
 
3.4%
10113 17
 
3.4%
11615 17
 
3.4%
7480 17
 
3.4%
10928 17
 
3.4%
10457 17
 
3.4%
30053 17
 
3.4%
Other values (65) 330
66.0%
ValueCountFrequency (%)
3074 17
3.4%
3225 2
 
0.4%
3856 17
3.4%
3970 2
 
0.4%
4031 17
3.4%
4158 2
 
0.4%
4808 1
 
0.2%
5186 1
 
0.2%
5483 2
 
0.4%
5724 17
3.4%
ValueCountFrequency (%)
68190 2
 
0.4%
62765 17
3.4%
50285 1
 
0.2%
33376 17
3.4%
30605 1
 
0.2%
30494 2
 
0.4%
30162 2
 
0.4%
30053 17
3.4%
29270 1
 
0.2%
28585 1
 
0.2%
Distinct74
Distinct (%)14.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5882.146
Minimum1395
Maximum29320
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2024-05-04T05:56:16.522151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1395
5-th percentile1842
Q13060
median4636
Q35843.75
95-th percentile13374
Maximum29320
Range27925
Interquartile range (IQR)2783.75

Descriptive statistics

Standard deviation5035.5654
Coefficient of variation (CV)0.85607623
Kurtosis7.8032259
Mean5882.146
Median Absolute Deviation (MAD)1409
Skewness2.7091775
Sum2941073
Variance25356919
MonotonicityNot monotonic
2024-05-04T05:56:16.947619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2363 19
 
3.8%
1842 17
 
3.4%
1395 17
 
3.4%
9040 17
 
3.4%
5948 17
 
3.4%
4786 17
 
3.4%
5604 17
 
3.4%
3660 17
 
3.4%
4895 17
 
3.4%
4874 17
 
3.4%
Other values (64) 328
65.6%
ValueCountFrequency (%)
1395 17
3.4%
1842 17
3.4%
2010 2
 
0.4%
2363 19
3.8%
2509 2
 
0.4%
2732 1
 
0.2%
2787 1
 
0.2%
2805 17
3.4%
2810 1
 
0.2%
2931 17
3.4%
ValueCountFrequency (%)
29320 2
 
0.4%
26218 1
 
0.2%
25495 17
3.4%
15167 1
 
0.2%
13374 17
3.4%
13350 1
 
0.2%
13181 2
 
0.4%
12835 17
3.4%
12552 1
 
0.2%
11720 2
 
0.4%

Sample

기준_년분기_코드자치구_코드자치구_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
02019111110종로구30564517984312580231355676991937797485292621130129623102526275294536569133041839336673931026803163577826
12019211110종로구2135611310308253191734389635095942238673166514101485735560401452865811400507195322794919277100155251
22022411110종로구234085137781963042080398806790566301421301578982217237379114218029191104401258226432999424121129395349
32021411110종로구234085137781963042080398806790566301421301578982217237379114218029191104401258226432999424121129395349
42019311110종로구2135611310308253191734389635095942238673166514101485735560401452865811400507195322794919277100155251
52019411110종로구234085137781963042080398806790566301421301578982217237379114218029191104401258226432999424121129395349
62020111110종로구234085137781963042080398806790566301421301578982217237379114218029191104401258226432999424121129395349
72020211110종로구234085137781963042080398806790566301421301578982217237379114218029191104401258226432999424121129395349
82020311110종로구234085137781963042080398806790566301421301578982217237379114218029191104401258226432999424121129395349
92020411110종로구234085137781963042080398806790566301421301578982217237379114218029191104401258226432999424121129395349
기준_년분기_코드자치구_코드자치구_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
4902023111680강남구11212016923594288424106222509349760288311180846756691902103681218684199837118081501742204118828131076884746276525495
4912023211680강남구11212016923594288424106222509349760288311180846756691902103681218684199837118081501742204118828131076884746276525495
4922023211710송파구39972825098414874488358047100311104626925704329142928753631666952559194299174542929437145351013337613374
4932023311710송파구39972825098414874488358047100311104626925704329142928753631666952559194299174542929437145351013337613374
4942023411710송파구39972825098414874488358047100311104626925704329142928753631666952559194299174542929437145351013337613374
4952023111710송파구39972825098414874488358047100311104626925704329142928753631666952559194299174542929437145351013337613374
4962023411740강동구750004336031640153956915714170281780114735814406894099321019398087251636774709676084927
4972023211740강동구750004336031640153956915714170281780114735814406894099321019398087251636774709676084927
4982023311740강동구750004336031640153956915714170281780114735814406894099321019398087251636774709676084927
4992023111740강동구750004336031640153956915714170281780114735814406894099321019398087251636774709676084927