Overview

Dataset statistics

Number of variables24
Number of observations8486
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 MiB
Average record size in memory215.0 B

Variable types

Numeric23
Text1

Dataset

Description기준_년분기_코드,행정동_코드,행정동_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-22184/S/1/datasetView.do

Alerts

연령대_10_직장_인구_수 has 425 (5.0%) zerosZeros
남성연령대_10_직장_인구_수 has 1136 (13.4%) zerosZeros
여성연령대_10_직장_인구_수 has 1099 (13.0%) zerosZeros

Reproduction

Analysis started2024-05-04 05:27:16.018959
Analysis finished2024-05-04 05:27:16.718871
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준_년분기_코드
Real number (ℝ)

Distinct20
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20212.533
Minimum20191
Maximum20234
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.7 KiB
2024-05-04T05:27:16.827066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20191
5-th percentile20191.25
Q120202
median20213
Q320224
95-th percentile20233.75
Maximum20234
Range43
Interquartile range (IQR)22

Descriptive statistics

Standard deviation14.175482
Coefficient of variation (CV)0.0007013214
Kurtosis-1.2821042
Mean20212.533
Median Absolute Deviation (MAD)11
Skewness-0.0023408532
Sum1.7152356 × 108
Variance200.94429
MonotonicityNot monotonic
2024-05-04T05:27:17.077693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)
ValueCountFrequency (%)
20191 425
 
5.0%
20222 425
 
5.0%
20233 425
 
5.0%
20234 425
 
5.0%
20214 425
 
5.0%
20204 425
 
5.0%
20224 425
 
5.0%
20232 425
 
5.0%
20231 425
 
5.0%
20223 425
 
5.0%
Other values (10) 4236
49.9%
ValueCountFrequency (%)
20191 425
5.0%
20192 418
4.9%
20193 418
4.9%
20194 425
5.0%
20201 425
5.0%
20202 425
5.0%
20203 425
5.0%
20204 425
5.0%
20211 425
5.0%
20212 425
5.0%
ValueCountFrequency (%)
20234 425
5.0%
20233 425
5.0%
20232 425
5.0%
20231 425
5.0%
20224 425
5.0%
20223 425
5.0%
20222 425
5.0%
20221 425
5.0%
20214 425
5.0%
20213 425
5.0%

행정동_코드
Real number (ℝ)

Distinct425
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11433583
Minimum11110515
Maximum11740700
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.7 KiB
2024-05-04T05:27:17.332463image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11110515
5-th percentile11140580
Q111260655
median11440630
Q311590680
95-th percentile11710680
Maximum11740700
Range630185
Interquartile range (IQR)330025

Descriptive statistics

Standard deviation191603.61
Coefficient of variation (CV)0.016757968
Kurtosis-1.2638278
Mean11433583
Median Absolute Deviation (MAD)179940
Skewness-0.016754338
Sum9.7025382 × 1010
Variance3.6711945 × 1010
MonotonicityNot monotonic
2024-05-04T05:27:17.598585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11110600 20
 
0.2%
11710620 20
 
0.2%
11380650 20
 
0.2%
11350611 20
 
0.2%
11350710 20
 
0.2%
11350600 20
 
0.2%
11320670 20
 
0.2%
11290650 20
 
0.2%
11290685 20
 
0.2%
11230545 20
 
0.2%
Other values (415) 8286
97.6%
ValueCountFrequency (%)
11110515 20
0.2%
11110530 20
0.2%
11110540 20
0.2%
11110550 20
0.2%
11110560 20
0.2%
11110570 20
0.2%
11110580 20
0.2%
11110600 20
0.2%
11110615 20
0.2%
11110630 20
0.2%
ValueCountFrequency (%)
11740700 20
0.2%
11740690 20
0.2%
11740685 20
0.2%
11740660 20
0.2%
11740650 20
0.2%
11740640 20
0.2%
11740620 20
0.2%
11740610 20
0.2%
11740600 20
0.2%
11740590 20
0.2%
Distinct424
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Memory size66.4 KiB
2024-05-04T05:27:18.172266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length4
Mean length3.7890643
Min length2

Characters and Unicode

Total characters32154
Distinct characters188
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row가회동
2nd row평창동
3rd row혜화동
4th row신당5동
5th row이태원2동
ValueCountFrequency (%)
신사동 40
 
0.5%
상계3?4동 20
 
0.2%
하계1동 20
 
0.2%
상계9동 20
 
0.2%
공릉2동 20
 
0.2%
쌍문2동 20
 
0.2%
정릉4동 20
 
0.2%
길음2동 20
 
0.2%
제기동 20
 
0.2%
효창동 20
 
0.2%
Other values (414) 8266
97.4%
2024-05-04T05:27:19.093953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8526
26.5%
2 1936
 
6.0%
1 1936
 
6.0%
3 856
 
2.7%
760
 
2.4%
4 520
 
1.6%
460
 
1.4%
360
 
1.1%
340
 
1.1%
340
 
1.1%
Other values (178) 16120
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26146
81.3%
Decimal Number 5828
 
18.1%
Other Punctuation 180
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8526
32.6%
760
 
2.9%
460
 
1.8%
360
 
1.4%
340
 
1.3%
340
 
1.3%
320
 
1.2%
320
 
1.2%
320
 
1.2%
320
 
1.2%
Other values (167) 14080
53.9%
Decimal Number
ValueCountFrequency (%)
2 1936
33.2%
1 1936
33.2%
3 856
14.7%
4 520
 
8.9%
5 220
 
3.8%
6 140
 
2.4%
7 120
 
2.1%
8 60
 
1.0%
0 20
 
0.3%
9 20
 
0.3%
Other Punctuation
ValueCountFrequency (%)
? 180
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26146
81.3%
Common 6008
 
18.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8526
32.6%
760
 
2.9%
460
 
1.8%
360
 
1.4%
340
 
1.3%
340
 
1.3%
320
 
1.2%
320
 
1.2%
320
 
1.2%
320
 
1.2%
Other values (167) 14080
53.9%
Common
ValueCountFrequency (%)
2 1936
32.2%
1 1936
32.2%
3 856
14.2%
4 520
 
8.7%
5 220
 
3.7%
? 180
 
3.0%
6 140
 
2.3%
7 120
 
2.0%
8 60
 
1.0%
0 20
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26146
81.3%
ASCII 6008
 
18.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
8526
32.6%
760
 
2.9%
460
 
1.8%
360
 
1.4%
340
 
1.3%
340
 
1.3%
320
 
1.2%
320
 
1.2%
320
 
1.2%
320
 
1.2%
Other values (167) 14080
53.9%
ASCII
ValueCountFrequency (%)
2 1936
32.2%
1 1936
32.2%
3 856
14.2%
4 520
 
8.7%
5 220
 
3.7%
? 180
 
3.0%
6 140
 
2.3%
7 120
 
2.0%
8 60
 
1.0%
0 20
 
0.3%

총_직장_인구_수
Real number (ℝ)

Distinct1191
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11364.284
Minimum223
Maximum289417
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.7 KiB
2024-05-04T05:27:19.497677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum223
5-th percentile1087
Q12128
median4013
Q310042
95-th percentile47325
Maximum289417
Range289194
Interquartile range (IQR)7914

Descriptive statistics

Standard deviation22722.754
Coefficient of variation (CV)1.9994885
Kurtosis34.948668
Mean11364.284
Median Absolute Deviation (MAD)2325
Skewness5.185559
Sum96437310
Variance5.1632356 × 108
MonotonicityNot monotonic
2024-05-04T05:27:19.923230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3435 36
 
0.4%
2710 35
 
0.4%
1532 35
 
0.4%
1268 35
 
0.4%
1152 34
 
0.4%
6301 34
 
0.4%
2304 34
 
0.4%
1795 34
 
0.4%
2607 20
 
0.2%
1017 19
 
0.2%
Other values (1181) 8170
96.3%
ValueCountFrequency (%)
223 2
 
< 0.1%
268 17
0.2%
297 1
 
< 0.1%
300 17
0.2%
316 2
 
< 0.1%
344 17
0.2%
384 1
 
< 0.1%
386 2
 
< 0.1%
434 2
 
< 0.1%
448 1
 
< 0.1%
ValueCountFrequency (%)
289417 1
 
< 0.1%
217817 17
0.2%
202668 2
 
< 0.1%
200585 2
 
< 0.1%
192833 1
 
< 0.1%
192577 17
0.2%
183132 2
 
< 0.1%
170825 17
0.2%
167717 1
 
< 0.1%
143437 1
 
< 0.1%

남성_직장_인구_수
Real number (ℝ)

Distinct1154
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6919.8767
Minimum103
Maximum190843
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.7 KiB
2024-05-04T05:27:20.348902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum103
5-th percentile596
Q11174
median2273
Q36220
95-th percentile29932
Maximum190843
Range190740
Interquartile range (IQR)5046

Descriptive statistics

Standard deviation14876.479
Coefficient of variation (CV)2.1498184
Kurtosis41.587448
Mean6919.8767
Median Absolute Deviation (MAD)1359
Skewness5.6689923
Sum58722074
Variance2.2130961 × 108
MonotonicityNot monotonic
2024-05-04T05:27:20.724748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
991 37
 
0.4%
1168 36
 
0.4%
728 35
 
0.4%
964 35
 
0.4%
998 34
 
0.4%
617 34
 
0.4%
963 34
 
0.4%
1976 34
 
0.4%
1837 34
 
0.4%
932 34
 
0.4%
Other values (1144) 8139
95.9%
ValueCountFrequency (%)
103 2
 
< 0.1%
104 17
0.2%
116 17
0.2%
129 2
 
< 0.1%
139 2
 
< 0.1%
142 17
0.2%
168 1
 
< 0.1%
169 17
0.2%
196 1
 
< 0.1%
210 17
0.2%
ValueCountFrequency (%)
190843 1
 
< 0.1%
154569 17
0.2%
136316 2
 
< 0.1%
134974 2
 
< 0.1%
131699 17
0.2%
108670 1
 
< 0.1%
107762 2
 
< 0.1%
101049 17
0.2%
100162 1
 
< 0.1%
89511 2
 
< 0.1%

여성_직장_인구_수
Real number (ℝ)

Distinct1108
Distinct (%)13.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4444.4068
Minimum51
Maximum98574
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.7 KiB
2024-05-04T05:27:21.009055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51
5-th percentile469
Q1921.5
median1674
Q33916
95-th percentile19891
Maximum98574
Range98523
Interquartile range (IQR)2994.5

Descriptive statistics

Standard deviation8226.424
Coefficient of variation (CV)1.8509611
Kurtosis27.209103
Mean4444.4068
Median Absolute Deviation (MAD)954
Skewness4.6012452
Sum37715236
Variance67674051
MonotonicityNot monotonic
2024-05-04T05:27:21.300818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
674 51
 
0.6%
725 51
 
0.6%
651 36
 
0.4%
778 36
 
0.4%
1259 36
 
0.4%
822 35
 
0.4%
975 35
 
0.4%
3406 34
 
0.4%
1042 34
 
0.4%
1863 34
 
0.4%
Other values (1098) 8104
95.5%
ValueCountFrequency (%)
51 2
 
< 0.1%
52 17
0.2%
120 2
 
< 0.1%
129 1
 
< 0.1%
158 17
0.2%
161 1
 
< 0.1%
164 17
0.2%
177 2
 
< 0.1%
218 2
 
< 0.1%
219 1
 
< 0.1%
ValueCountFrequency (%)
98574 1
 
< 0.1%
84163 1
 
< 0.1%
80486 1
 
< 0.1%
75370 2
 
< 0.1%
69776 17
0.2%
67694 2
 
< 0.1%
64269 2
 
< 0.1%
63248 17
0.2%
60878 17
0.2%
60528 1
 
< 0.1%

연령대_10_직장_인구_수
Real number (ℝ)

ZEROS 

Distinct186
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.415626
Minimum0
Maximum2454
Zeros425
Zeros (%)5.0%
Negative0
Negative (%)0.0%
Memory size74.7 KiB
2024-05-04T05:27:21.712172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.25
Q14
median9
Q332
95-th percentile172
Maximum2454
Range2454
Interquartile range (IQR)28

Descriptive statistics

Standard deviation110.9038
Coefficient of variation (CV)2.7440823
Kurtosis89.582322
Mean40.415626
Median Absolute Deviation (MAD)7
Skewness7.8417659
Sum342967
Variance12299.653
MonotonicityNot monotonic
2024-05-04T05:27:22.130560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 673
 
7.9%
2 574
 
6.8%
4 470
 
5.5%
5 469
 
5.5%
0 425
 
5.0%
3 411
 
4.8%
6 408
 
4.8%
9 285
 
3.4%
8 279
 
3.3%
10 278
 
3.3%
Other values (176) 4214
49.7%
ValueCountFrequency (%)
0 425
5.0%
1 673
7.9%
2 574
6.8%
3 411
4.8%
4 470
5.5%
5 469
5.5%
6 408
4.8%
7 275
3.2%
8 279
3.3%
9 285
3.4%
ValueCountFrequency (%)
2454 1
 
< 0.1%
1427 17
0.2%
1293 1
 
< 0.1%
1001 1
 
< 0.1%
954 2
 
< 0.1%
923 17
0.2%
921 1
 
< 0.1%
790 1
 
< 0.1%
720 2
 
< 0.1%
678 1
 
< 0.1%
Distinct913
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1973.9063
Minimum4
Maximum49595
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.7 KiB
2024-05-04T05:27:22.527123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile112
Q1242
median563
Q31539
95-th percentile9928
Maximum49595
Range49591
Interquartile range (IQR)1297

Descriptive statistics

Standard deviation4414.8162
Coefficient of variation (CV)2.2365885
Kurtosis32.693436
Mean1973.9063
Median Absolute Deviation (MAD)382
Skewness5.1033504
Sum16750569
Variance19490602
MonotonicityNot monotonic
2024-05-04T05:27:22.834724image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
286 57
 
0.7%
367 54
 
0.6%
181 53
 
0.6%
246 53
 
0.6%
239 53
 
0.6%
278 52
 
0.6%
145 52
 
0.6%
105 51
 
0.6%
113 51
 
0.6%
191 39
 
0.5%
Other values (903) 7971
93.9%
ValueCountFrequency (%)
4 17
0.2%
6 2
 
< 0.1%
18 1
 
< 0.1%
22 17
0.2%
25 2
 
< 0.1%
28 1
 
< 0.1%
31 17
0.2%
33 2
 
< 0.1%
38 17
0.2%
39 2
 
< 0.1%
ValueCountFrequency (%)
49595 1
 
< 0.1%
43095 1
 
< 0.1%
40050 17
0.2%
37109 2
 
< 0.1%
36796 17
0.2%
35893 1
 
< 0.1%
34443 17
0.2%
33533 2
 
< 0.1%
33412 1
 
< 0.1%
32469 2
 
< 0.1%
Distinct1007
Distinct (%)11.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3170.5658
Minimum40
Maximum105450
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.7 KiB
2024-05-04T05:27:23.099971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum40
5-th percentile205
Q1417.25
median881
Q32557
95-th percentile13905
Maximum105450
Range105410
Interquartile range (IQR)2139.75

Descriptive statistics

Standard deviation7531.9127
Coefficient of variation (CV)2.3755737
Kurtosis50.175745
Mean3170.5658
Median Absolute Deviation (MAD)573
Skewness6.1917907
Sum26905421
Variance56729709
MonotonicityNot monotonic
2024-05-04T05:27:23.500475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
205 70
 
0.8%
472 52
 
0.6%
425 51
 
0.6%
292 39
 
0.5%
225 38
 
0.4%
296 37
 
0.4%
324 37
 
0.4%
474 36
 
0.4%
263 36
 
0.4%
361 36
 
0.4%
Other values (997) 8054
94.9%
ValueCountFrequency (%)
40 17
0.2%
47 2
 
< 0.1%
54 2
 
< 0.1%
57 17
0.2%
61 1
 
< 0.1%
62 1
 
< 0.1%
68 2
 
< 0.1%
80 34
0.4%
83 1
 
< 0.1%
86 2
 
< 0.1%
ValueCountFrequency (%)
105450 1
 
< 0.1%
78669 2
 
< 0.1%
78066 17
0.2%
75687 17
0.2%
72430 2
 
< 0.1%
60549 1
 
< 0.1%
56440 2
 
< 0.1%
55960 1
 
< 0.1%
51961 17
0.2%
44267 1
 
< 0.1%
Distinct1021
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2891.8693
Minimum51
Maximum79873
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.7 KiB
2024-05-04T05:27:23.920344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51
5-th percentile257.25
Q1501
median958
Q32392
95-th percentile12707
Maximum79873
Range79822
Interquartile range (IQR)1891

Descriptive statistics

Standard deviation6017.1984
Coefficient of variation (CV)2.0807297
Kurtosis37.255037
Mean2891.8693
Median Absolute Deviation (MAD)563
Skewness5.3630321
Sum24540403
Variance36206677
MonotonicityNot monotonic
2024-05-04T05:27:24.226165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
247 53
 
0.6%
426 51
 
0.6%
620 51
 
0.6%
566 51
 
0.6%
486 38
 
0.4%
650 38
 
0.4%
473 38
 
0.4%
361 37
 
0.4%
503 35
 
0.4%
1587 35
 
0.4%
Other values (1011) 8059
95.0%
ValueCountFrequency (%)
51 2
 
< 0.1%
74 17
0.2%
76 17
0.2%
86 2
 
< 0.1%
88 1
 
< 0.1%
89 17
0.2%
97 1
 
< 0.1%
102 17
0.2%
103 2
 
< 0.1%
108 2
 
< 0.1%
ValueCountFrequency (%)
79873 1
 
< 0.1%
57540 2
 
< 0.1%
55998 17
0.2%
55314 17
0.2%
54207 2
 
< 0.1%
47108 2
 
< 0.1%
45356 1
 
< 0.1%
43997 17
0.2%
42716 1
 
< 0.1%
37608 1
 
< 0.1%
Distinct1015
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2210.3784
Minimum60
Maximum42380
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.7 KiB
2024-05-04T05:27:24.508596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum60
5-th percentile260
Q1503
median880
Q32088
95-th percentile8967
Maximum42380
Range42320
Interquartile range (IQR)1585

Descriptive statistics

Standard deviation3935.9036
Coefficient of variation (CV)1.780647
Kurtosis30.624779
Mean2210.3784
Median Absolute Deviation (MAD)497
Skewness4.8565753
Sum18757271
Variance15491337
MonotonicityNot monotonic
2024-05-04T05:27:24.777519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
838 52
 
0.6%
1375 51
 
0.6%
347 38
 
0.4%
391 36
 
0.4%
1035 36
 
0.4%
333 36
 
0.4%
694 36
 
0.4%
629 36
 
0.4%
499 36
 
0.4%
854 36
 
0.4%
Other values (1005) 8093
95.4%
ValueCountFrequency (%)
60 2
 
< 0.1%
66 17
0.2%
68 2
 
< 0.1%
78 17
0.2%
79 1
 
< 0.1%
80 17
0.2%
88 1
 
< 0.1%
93 2
 
< 0.1%
101 17
0.2%
115 1
 
< 0.1%
ValueCountFrequency (%)
42380 1
 
< 0.1%
40829 1
 
< 0.1%
37973 2
 
< 0.1%
35193 17
0.2%
33657 2
 
< 0.1%
33396 17
0.2%
31349 2
 
< 0.1%
29792 17
0.2%
28167 1
 
< 0.1%
23967 1
 
< 0.1%
Distinct922
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1077.1481
Minimum24
Maximum14665
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.7 KiB
2024-05-04T05:27:25.116188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24
5-th percentile146.25
Q1323
median589
Q31268
95-th percentile3703
Maximum14665
Range14641
Interquartile range (IQR)945

Descriptive statistics

Standard deviation1398.1147
Coefficient of variation (CV)1.2979781
Kurtosis17.486818
Mean1077.1481
Median Absolute Deviation (MAD)328
Skewness3.5664413
Sum9140679
Variance1954724.7
MonotonicityNot monotonic
2024-05-04T05:27:25.428353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
241 70
 
0.8%
378 53
 
0.6%
246 53
 
0.6%
232 53
 
0.6%
269 52
 
0.6%
464 51
 
0.6%
183 51
 
0.6%
196 39
 
0.5%
288 38
 
0.4%
274 38
 
0.4%
Other values (912) 7988
94.1%
ValueCountFrequency (%)
24 2
 
< 0.1%
29 17
0.2%
37 17
0.2%
38 19
0.2%
40 1
 
< 0.1%
47 2
 
< 0.1%
51 1
 
< 0.1%
56 2
 
< 0.1%
70 34
0.4%
73 1
 
< 0.1%
ValueCountFrequency (%)
14665 1
 
< 0.1%
13132 2
 
< 0.1%
11596 2
 
< 0.1%
11441 1
 
< 0.1%
10919 17
0.2%
10800 2
 
< 0.1%
10138 17
0.2%
9862 1
 
< 0.1%
9787 17
0.2%
8815 2
 
< 0.1%

남성연령대_10_직장_인구_수
Real number (ℝ)

ZEROS 

Distinct126
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18.62279
Minimum0
Maximum1055
Zeros1136
Zeros (%)13.4%
Negative0
Negative (%)0.0%
Memory size74.7 KiB
2024-05-04T05:27:25.702020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q315
95-th percentile77
Maximum1055
Range1055
Interquartile range (IQR)13

Descriptive statistics

Standard deviation51.226894
Coefficient of variation (CV)2.7507636
Kurtosis90.745577
Mean18.62279
Median Absolute Deviation (MAD)4
Skewness8.1860508
Sum158033
Variance2624.1946
MonotonicityNot monotonic
2024-05-04T05:27:26.298867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 1136
 
13.4%
2 923
 
10.9%
1 907
 
10.7%
3 766
 
9.0%
4 415
 
4.9%
7 396
 
4.7%
5 367
 
4.3%
8 305
 
3.6%
9 211
 
2.5%
6 205
 
2.4%
Other values (116) 2855
33.6%
ValueCountFrequency (%)
0 1136
13.4%
1 907
10.7%
2 923
10.9%
3 766
9.0%
4 415
 
4.9%
5 367
 
4.3%
6 205
 
2.4%
7 396
 
4.7%
8 305
 
3.6%
9 211
 
2.5%
ValueCountFrequency (%)
1055 1
 
< 0.1%
620 17
0.2%
583 17
0.2%
492 1
 
< 0.1%
484 2
 
< 0.1%
390 1
 
< 0.1%
347 1
 
< 0.1%
328 2
 
< 0.1%
310 1
 
< 0.1%
299 1
 
< 0.1%
Distinct720
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean904.64494
Minimum4
Maximum23541
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.7 KiB
2024-05-04T05:27:26.713977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile40
Q1100
median247
Q3799
95-th percentile4422.5
Maximum23541
Range23537
Interquartile range (IQR)699

Descriptive statistics

Standard deviation2164.0739
Coefficient of variation (CV)2.3921804
Kurtosis42.174677
Mean904.64494
Median Absolute Deviation (MAD)178
Skewness5.7810941
Sum7676817
Variance4683215.9
MonotonicityNot monotonic
2024-05-04T05:27:27.133517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
59 88
 
1.0%
35 88
 
1.0%
41 72
 
0.8%
127 68
 
0.8%
51 60
 
0.7%
68 57
 
0.7%
193 57
 
0.7%
100 56
 
0.7%
55 56
 
0.7%
108 55
 
0.6%
Other values (710) 7829
92.3%
ValueCountFrequency (%)
4 34
0.4%
5 2
 
< 0.1%
6 2
 
< 0.1%
8 1
 
< 0.1%
11 1
 
< 0.1%
12 2
 
< 0.1%
13 2
 
< 0.1%
14 36
0.4%
15 1
 
< 0.1%
16 35
0.4%
ValueCountFrequency (%)
23541 1
 
< 0.1%
22109 17
0.2%
19659 17
0.2%
19408 2
 
< 0.1%
17124 1
 
< 0.1%
16474 17
0.2%
16110 2
 
< 0.1%
16066 2
 
< 0.1%
15489 1
 
< 0.1%
14352 1
 
< 0.1%
Distinct904
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1925.3587
Minimum11
Maximum69517
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.7 KiB
2024-05-04T05:27:27.644952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile95
Q1218
median504
Q31589
95-th percentile8250
Maximum69517
Range69506
Interquartile range (IQR)1371

Descriptive statistics

Standard deviation4949.6832
Coefficient of variation (CV)2.5707849
Kurtosis61.630814
Mean1925.3587
Median Absolute Deviation (MAD)346
Skewness6.9036
Sum16338594
Variance24499364
MonotonicityNot monotonic
2024-05-04T05:27:28.395082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
115 51
 
0.6%
111 51
 
0.6%
402 51
 
0.6%
754 51
 
0.6%
182 39
 
0.5%
349 38
 
0.4%
126 37
 
0.4%
74 37
 
0.4%
260 37
 
0.4%
286 37
 
0.4%
Other values (894) 8057
94.9%
ValueCountFrequency (%)
11 17
0.2%
15 2
 
< 0.1%
21 2
 
< 0.1%
23 17
0.2%
25 1
 
< 0.1%
27 1
 
< 0.1%
28 1
 
< 0.1%
32 18
0.2%
33 1
 
< 0.1%
34 19
0.2%
ValueCountFrequency (%)
69517 1
 
< 0.1%
55804 17
0.2%
53626 2
 
< 0.1%
51843 17
0.2%
48986 2
 
< 0.1%
35847 1
 
< 0.1%
35821 2
 
< 0.1%
32429 17
0.2%
29612 1
 
< 0.1%
28210 2
 
< 0.1%
Distinct906
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1891.951
Minimum22
Maximum58236
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.7 KiB
2024-05-04T05:27:29.289766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum22
5-th percentile132
Q1274
median537
Q31557
95-th percentile8712
Maximum58236
Range58214
Interquartile range (IQR)1283

Descriptive statistics

Standard deviation4360.0642
Coefficient of variation (CV)2.3045334
Kurtosis44.14302
Mean1891.951
Median Absolute Deviation (MAD)325
Skewness5.8630122
Sum16055096
Variance19010159
MonotonicityNot monotonic
2024-05-04T05:27:29.962113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
263 55
 
0.6%
233 53
 
0.6%
369 51
 
0.6%
526 40
 
0.5%
374 38
 
0.4%
243 38
 
0.4%
157 37
 
0.4%
232 37
 
0.4%
265 36
 
0.4%
129 36
 
0.4%
Other values (896) 8065
95.0%
ValueCountFrequency (%)
22 2
 
< 0.1%
24 17
0.2%
30 1
 
< 0.1%
32 17
0.2%
35 17
0.2%
36 2
 
< 0.1%
42 2
 
< 0.1%
47 17
0.2%
48 1
 
< 0.1%
51 18
0.2%
ValueCountFrequency (%)
58236 1
 
< 0.1%
44088 2
 
< 0.1%
43252 17
0.2%
42526 17
0.2%
39136 2
 
< 0.1%
30867 2
 
< 0.1%
30675 1
 
< 0.1%
28719 17
0.2%
28244 1
 
< 0.1%
25719 17
0.2%
Distinct919
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1448.4843
Minimum16
Maximum36572
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.7 KiB
2024-05-04T05:27:30.607054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile140
Q1277
median533
Q31256
95-th percentile6104
Maximum36572
Range36556
Interquartile range (IQR)979

Descriptive statistics

Standard deviation2975.0663
Coefficient of variation (CV)2.0539168
Kurtosis48.316157
Mean1448.4843
Median Absolute Deviation (MAD)311
Skewness5.9633804
Sum12291838
Variance8851019.3
MonotonicityNot monotonic
2024-05-04T05:27:31.164937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
260 69
 
0.8%
336 68
 
0.8%
176 51
 
0.6%
257 51
 
0.6%
273 38
 
0.4%
302 38
 
0.4%
394 37
 
0.4%
500 37
 
0.4%
184 37
 
0.4%
293 37
 
0.4%
Other values (909) 8023
94.5%
ValueCountFrequency (%)
16 17
0.2%
22 2
 
< 0.1%
26 17
0.2%
28 2
 
< 0.1%
39 17
0.2%
41 17
0.2%
43 2
 
< 0.1%
45 2
 
< 0.1%
46 2
 
< 0.1%
49 1
 
< 0.1%
ValueCountFrequency (%)
36572 1
 
< 0.1%
34484 2
 
< 0.1%
33449 17
0.2%
32411 1
 
< 0.1%
26581 17
0.2%
23489 2
 
< 0.1%
18114 17
0.2%
17391 1
 
< 0.1%
17178 2
 
< 0.1%
16304 1
 
< 0.1%
Distinct802
Distinct (%)9.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean730.81499
Minimum17
Maximum8330
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.7 KiB
2024-05-04T05:27:31.724505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum17
5-th percentile105.25
Q1224
median404
Q3880
95-th percentile2526
Maximum8330
Range8313
Interquartile range (IQR)656

Descriptive statistics

Standard deviation925.41668
Coefficient of variation (CV)1.2662804
Kurtosis14.61635
Mean730.81499
Median Absolute Deviation (MAD)224
Skewness3.302923
Sum6201696
Variance856396.04
MonotonicityNot monotonic
2024-05-04T05:27:32.185881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
307 85
 
1.0%
126 75
 
0.9%
134 70
 
0.8%
192 57
 
0.7%
168 56
 
0.7%
180 54
 
0.6%
394 53
 
0.6%
201 53
 
0.6%
233 52
 
0.6%
404 51
 
0.6%
Other values (792) 7880
92.9%
ValueCountFrequency (%)
17 2
 
< 0.1%
18 17
0.2%
23 19
0.2%
27 19
0.2%
28 3
 
< 0.1%
30 19
0.2%
34 1
 
< 0.1%
39 1
 
< 0.1%
44 1
 
< 0.1%
48 17
0.2%
ValueCountFrequency (%)
8330 1
 
< 0.1%
7659 2
 
< 0.1%
7192 2
 
< 0.1%
7112 17
0.2%
6966 1
 
< 0.1%
6938 1
 
< 0.1%
6760 2
 
< 0.1%
6628 17
0.2%
5701 2
 
< 0.1%
5683 2
 
< 0.1%

여성연령대_10_직장_인구_수
Real number (ℝ)

ZEROS 

Distinct144
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21.792835
Minimum0
Maximum1399
Zeros1099
Zeros (%)13.0%
Negative0
Negative (%)0.0%
Memory size74.7 KiB
2024-05-04T05:27:32.598839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q315
95-th percentile100
Maximum1399
Range1399
Interquartile range (IQR)14

Descriptive statistics

Standard deviation62.438512
Coefficient of variation (CV)2.8650936
Kurtosis88.946805
Mean21.792835
Median Absolute Deviation (MAD)3
Skewness7.6772831
Sum184934
Variance3898.5678
MonotonicityNot monotonic
2024-05-04T05:27:33.029526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1218
14.4%
0 1099
13.0%
2 951
 
11.2%
3 718
 
8.5%
4 497
 
5.9%
5 442
 
5.2%
8 274
 
3.2%
6 262
 
3.1%
7 230
 
2.7%
9 208
 
2.5%
Other values (134) 2587
30.5%
ValueCountFrequency (%)
0 1099
13.0%
1 1218
14.4%
2 951
11.2%
3 718
8.5%
4 497
5.9%
5 442
 
5.2%
6 262
 
3.1%
7 230
 
2.7%
8 274
 
3.2%
9 208
 
2.5%
ValueCountFrequency (%)
1399 1
 
< 0.1%
807 17
0.2%
801 1
 
< 0.1%
611 2
 
< 0.1%
520 1
 
< 0.1%
506 1
 
< 0.1%
470 2
 
< 0.1%
392 2
 
< 0.1%
383 1
 
< 0.1%
374 1
 
< 0.1%
Distinct766
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1069.2614
Minimum0
Maximum26054
Zeros19
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size74.7 KiB
2024-05-04T05:27:33.472408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile65
Q1131
median292
Q3851
95-th percentile5862
Maximum26054
Range26054
Interquartile range (IQR)720

Descriptive statistics

Standard deviation2318.9876
Coefficient of variation (CV)2.1687752
Kurtosis26.583445
Mean1069.2614
Median Absolute Deviation (MAD)192
Skewness4.6321186
Sum9073752
Variance5377703.3
MonotonicityNot monotonic
2024-05-04T05:27:34.017056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
108 90
 
1.1%
117 72
 
0.8%
110 69
 
0.8%
118 60
 
0.7%
101 59
 
0.7%
183 59
 
0.7%
230 58
 
0.7%
103 58
 
0.7%
97 58
 
0.7%
136 57
 
0.7%
Other values (756) 7846
92.5%
ValueCountFrequency (%)
0 19
0.2%
10 1
 
< 0.1%
12 1
 
< 0.1%
17 17
0.2%
18 17
0.2%
19 2
 
< 0.1%
20 2
 
< 0.1%
21 2
 
< 0.1%
24 17
0.2%
31 1
 
< 0.1%
ValueCountFrequency (%)
26054 1
 
< 0.1%
25971 1
 
< 0.1%
21541 1
 
< 0.1%
21366 1
 
< 0.1%
17969 17
0.2%
17941 17
0.2%
17701 2
 
< 0.1%
17467 2
 
< 0.1%
17137 17
0.2%
16480 1
 
< 0.1%
Distinct817
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1245.207
Minimum2
Maximum35933
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.7 KiB
2024-05-04T05:27:34.457349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile98
Q1188
median385
Q3934
95-th percentile5666
Maximum35933
Range35931
Interquartile range (IQR)746

Descriptive statistics

Standard deviation2689.1309
Coefficient of variation (CV)2.1595854
Kurtosis33.199527
Mean1245.207
Median Absolute Deviation (MAD)238
Skewness5.0914477
Sum10566827
Variance7231425
MonotonicityNot monotonic
2024-05-04T05:27:34.914555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
293 70
 
0.8%
137 68
 
0.8%
261 55
 
0.6%
200 55
 
0.6%
175 55
 
0.6%
148 55
 
0.6%
258 53
 
0.6%
100 53
 
0.6%
131 53
 
0.6%
502 53
 
0.6%
Other values (807) 7916
93.3%
ValueCountFrequency (%)
2 17
0.2%
3 2
 
< 0.1%
29 17
0.2%
32 2
 
< 0.1%
33 2
 
< 0.1%
34 20
0.2%
36 1
 
< 0.1%
45 2
 
< 0.1%
46 35
0.4%
51 2
 
< 0.1%
ValueCountFrequency (%)
35933 1
 
< 0.1%
28665 1
 
< 0.1%
25043 2
 
< 0.1%
24702 1
 
< 0.1%
23844 17
0.2%
23444 2
 
< 0.1%
22262 17
0.2%
21514 1
 
< 0.1%
20619 2
 
< 0.1%
19532 17
0.2%
Distinct833
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean999.91834
Minimum8
Maximum21637
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.7 KiB
2024-05-04T05:27:35.391099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile122
Q1222
median403
Q3899
95-th percentile4067
Maximum21637
Range21629
Interquartile range (IQR)677

Descriptive statistics

Standard deviation1771.5163
Coefficient of variation (CV)1.7716609
Kurtosis26.576188
Mean999.91834
Median Absolute Deviation (MAD)217
Skewness4.521377
Sum8485307
Variance3138269.8
MonotonicityNot monotonic
2024-05-04T05:27:35.837377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
213 71
 
0.8%
162 70
 
0.8%
273 54
 
0.6%
218 53
 
0.6%
156 53
 
0.6%
300 52
 
0.6%
210 52
 
0.6%
676 51
 
0.6%
204 51
 
0.6%
305 51
 
0.6%
Other values (823) 7928
93.4%
ValueCountFrequency (%)
8 2
 
< 0.1%
11 17
0.2%
29 2
 
< 0.1%
39 18
0.2%
40 1
 
< 0.1%
50 2
 
< 0.1%
51 17
0.2%
52 17
0.2%
53 2
 
< 0.1%
57 17
0.2%
ValueCountFrequency (%)
21637 1
 
< 0.1%
18213 1
 
< 0.1%
16241 2
 
< 0.1%
15278 17
0.2%
15071 2
 
< 0.1%
14920 2
 
< 0.1%
14681 1
 
< 0.1%
13452 2
 
< 0.1%
12788 17
0.2%
12746 17
0.2%
Distinct786
Distinct (%)9.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean761.89406
Minimum29
Maximum16479
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.7 KiB
2024-05-04T05:27:36.294192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum29
5-th percentile107
Q1205
median368
Q3742
95-th percentile2751
Maximum16479
Range16450
Interquartile range (IQR)537

Descriptive statistics

Standard deviation1219.6996
Coefficient of variation (CV)1.6008782
Kurtosis40.103682
Mean761.89406
Median Absolute Deviation (MAD)194
Skewness5.1866187
Sum6465433
Variance1487667.2
MonotonicityNot monotonic
2024-05-04T05:27:36.890333image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
213 71
 
0.8%
522 69
 
0.8%
237 68
 
0.8%
259 56
 
0.7%
266 54
 
0.6%
537 53
 
0.6%
150 53
 
0.6%
139 53
 
0.6%
342 53
 
0.6%
204 53
 
0.6%
Other values (776) 7903
93.1%
ValueCountFrequency (%)
29 1
 
< 0.1%
30 2
 
< 0.1%
31 17
0.2%
32 2
 
< 0.1%
37 17
0.2%
39 1
 
< 0.1%
46 2
 
< 0.1%
47 1
 
< 0.1%
48 19
0.2%
50 17
0.2%
ValueCountFrequency (%)
16479 2
 
< 0.1%
13666 17
0.2%
11863 1
 
< 0.1%
10737 1
 
< 0.1%
9969 1
 
< 0.1%
9577 1
 
< 0.1%
8557 2
 
< 0.1%
8437 17
0.2%
8251 1
 
< 0.1%
7860 2
 
< 0.1%
Distinct615
Distinct (%)7.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean346.33314
Minimum7
Maximum6335
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size74.7 KiB
2024-05-04T05:27:37.348476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum7
5-th percentile36
Q195
median177
Q3379
95-th percentile1232.75
Maximum6335
Range6328
Interquartile range (IQR)284

Descriptive statistics

Standard deviation509.1688
Coefficient of variation (CV)1.4701706
Kurtosis31.902617
Mean346.33314
Median Absolute Deviation (MAD)108
Skewness4.5739759
Sum2938983
Variance259252.86
MonotonicityNot monotonic
2024-05-04T05:27:37.805341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
104 102
 
1.2%
99 74
 
0.9%
44 71
 
0.8%
107 71
 
0.8%
161 68
 
0.8%
83 60
 
0.7%
86 58
 
0.7%
89 57
 
0.7%
61 57
 
0.7%
284 57
 
0.7%
Other values (605) 7811
92.0%
ValueCountFrequency (%)
7 2
 
< 0.1%
8 17
0.2%
10 2
 
< 0.1%
11 34
0.4%
12 1
 
< 0.1%
14 18
0.2%
15 2
 
< 0.1%
16 1
 
< 0.1%
17 2
 
< 0.1%
18 34
0.4%
ValueCountFrequency (%)
6335 1
 
< 0.1%
5473 2
 
< 0.1%
5452 17
0.2%
4836 2
 
< 0.1%
4475 1
 
< 0.1%
3608 2
 
< 0.1%
3296 1
 
< 0.1%
3159 17
0.2%
3132 2
 
< 0.1%
3026 17
0.2%

Sample

기준_년분기_코드행정동_코드행정동_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
02019111110600가회동220781846436143628448418599740497341717677075531037125831910771343687337151
12019111110560평창동245811101348634051552558348941052352612392662235280264344223
22019111110650혜화동53302736259420907132213381115628834359171665742112564731622458207
32019111140650신당5동20479081139628851148446829031042382281921433184273256276147
42019111170660이태원2동26581434122415485679481425573102243782572243415261301224201232
52019111200660성수1가2동179681068372855740335782395825441594251632351426331719116032240122681325825434
62019111200570행당2동9983226761982222862551360175191877618117119516860
72019111215820자양1동770944883221231055159218231990122673907771071133890516665815752652321
82019111230610답십리2동4442256418781458991111321029767122955336765654832294378456464284
92019111230560전농1동290214201482214715947196644331121329336830822710258301351356206
기준_년분기_코드행정동_코드행정동_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
84762023411650590방배본동282341562812606120528472817505504729978217983804437032752299383486347731351772698
84772023411680521논현1동41576243131726316210856124918831573934976846247421595037052545946232507028812034952
84782023411680630대치4동33305204681283714953369904904756563213212296599561873965200412830403909286016911209
84792023411680545압구정동44490250471944325699031390510212665535591023671781068734381221015462326095333922741349
84802023411680730일원1동251813701148434347656654358621492512932843912194225273259195
84812023411680740일원2동560036821918178321447158713193985407891109199229612425556496327102
84822023411680720일원본동367792054816231181945410978897658781312823541612057714133901995913485832051745411
84832023411710620가락본동279551688211073893790671663965452551237181341944281315833995219772522211522942113
84842023411710520풍납2동235961156812028351138054588635539870138441833091217373733729387127951380250
84852023411740700둔촌2동496122392722494612931058102663422815375264894042665756532537230