Overview

Dataset statistics

Number of variables25
Number of observations500
Missing cells179
Missing cells (%)1.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory109.0 KiB
Average record size in memory223.3 B

Variable types

Categorical4
Text1
Numeric20

Dataset

Description샘플 데이터
Author오픈메이트
URLhttps://bigdata.seoul.go.kr/data/selectSampleData.do?sample_data_seq=52

Alerts

기준년월(STDR_YM) has constant value ""Constant
10대_직장인구수(AGRDE_10_WRC_POPLTN_CO) is highly imbalanced (85.9%)Imbalance
10대남성_직장인구수(AGRDE_10_ML_WRC_POPLTN_CO) is highly imbalanced (89.4%)Imbalance
단위코드2(UNIT_CD2) has 179 (35.8%) missing valuesMissing
남성_직장인구수(ML_WRC_POPLTN_CO) has 26 (5.2%) zerosZeros
여성_직장인구수(FML_WRC_POPTN_CO) has 31 (6.2%) zerosZeros
20대_직장인구수(AGRDE_20_WRC_POPLTN_CO) has 146 (29.2%) zerosZeros
30대_직장인구수(AGRDE_30_WRC_POPLTN_CO) has 98 (19.6%) zerosZeros
40대_직장인구수(AGRDE_40_WRC_POPLTN_CO) has 64 (12.8%) zerosZeros
50대_직장인구수(AGRDE_50_WRC_POPLTN_CO) has 63 (12.6%) zerosZeros
60대이상_직장인구수(AGRDE_60_ABOVE_POPLTN_CO) has 57 (11.4%) zerosZeros
20대남성_직장인구수(AGRDE_20_ML_WRC_POPLTN_CO) has 239 (47.8%) zerosZeros
30대남성_직장인구수(AGRDE_30_ML_WRC_POPLTN_CO) has 169 (33.8%) zerosZeros
40대남성_직장인구수(AGRDE_40_ML_WRC_POPLTN_CO) has 118 (23.6%) zerosZeros
50대남성_직장인구수(AGRDE_50_ML_WRC_POPLTN_CO) has 109 (21.8%) zerosZeros
60대이상남성_직장인구수(AGRDE_60_ML_ABOVE_POPLTN_CO) has 122 (24.4%) zerosZeros
10대여성_직장인구수(AGRDE_10_FML_WRC_POPLTN_CO) has 482 (96.4%) zerosZeros
20대여성_직장인구수(AGRDE_20_FML_WRC_POPLTN_CO) has 192 (38.4%) zerosZeros
30대여성_직장인구수(AGRDE_30_FML_WRC_POPLTN_CO) has 134 (26.8%) zerosZeros
40대여성_직장인구수(AGRDE_40_FML_WRC_POPLTN_CO) has 119 (23.8%) zerosZeros
50대여성_직장인구수(AGRDE_50_FML_WRC_POPLTN_CO) has 101 (20.2%) zerosZeros
60대이상여성_직장인구수(AGRDE_60_FML_ABOVE_POPLTN_CO) has 149 (29.8%) zerosZeros

Reproduction

Analysis started2023-12-10 14:50:59.607992
Analysis finished2023-12-10 14:51:00.387579
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준년월(STDR_YM)
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
201602
500 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row201602
2nd row201602
3rd row201602
4th row201602
5th row201602

Common Values

ValueCountFrequency (%)
201602 500
100.0%

Length

2023-12-10T23:51:00.490158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:51:00.635055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
201602 500
100.0%

단위코드1(UNIT_CD1)
Text

Distinct382
Distinct (%)76.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
2023-12-10T23:51:01.010197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.922
Min length4

Characters and Unicode

Total characters2961
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique293 ?
Unique (%)58.6%

Sample

1st row313200
2nd row307200
3rd row312150
4th row2*8*5*
5th row2*5*1*
ValueCountFrequency (%)
303500 5
 
1.0%
318850 5
 
1.0%
304650 4
 
0.8%
318200 4
 
0.8%
2*2*3 4
 
0.8%
2*0*2 3
 
0.6%
2*9*0 3
 
0.6%
2*0*6 3
 
0.6%
2*0*8 3
 
0.6%
2*1*0 3
 
0.6%
Other values (359) 463
92.6%
2023-12-10T23:51:01.564986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 692
23.4%
* 502
17.0%
3 453
15.3%
1 280
9.5%
5 258
 
8.7%
2 255
 
8.6%
4 114
 
3.9%
9 108
 
3.6%
8 105
 
3.5%
6 98
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2459
83.0%
Other Punctuation 502
 
17.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 692
28.1%
3 453
18.4%
1 280
11.4%
5 258
 
10.5%
2 255
 
10.4%
4 114
 
4.6%
9 108
 
4.4%
8 105
 
4.3%
6 98
 
4.0%
7 96
 
3.9%
Other Punctuation
ValueCountFrequency (%)
* 502
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2961
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 692
23.4%
* 502
17.0%
3 453
15.3%
1 280
9.5%
5 258
 
8.7%
2 255
 
8.6%
4 114
 
3.9%
9 108
 
3.6%
8 105
 
3.5%
6 98
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2961
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 692
23.4%
* 502
17.0%
3 453
15.3%
1 280
9.5%
5 258
 
8.7%
2 255
 
8.6%
4 114
 
3.9%
9 108
 
3.6%
8 105
 
3.5%
6 98
 
3.3%

단위코드2(UNIT_CD2)
Real number (ℝ)

MISSING 

Distinct229
Distinct (%)71.3%
Missing179
Missing (%)35.8%
Infinite0
Infinite (%)0.0%
Mean550662.31
Minimum536850
Maximum565800
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:01.741875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum536850
5-th percentile541600
Q1545350
median550750
Q3554650
95-th percentile562400
Maximum565800
Range28950
Interquartile range (IQR)9300

Descriptive statistics

Standard deviation6354.7875
Coefficient of variation (CV)0.011540262
Kurtosis-0.55796464
Mean550662.31
Median Absolute Deviation (MAD)4900
Skewness0.27446884
Sum1.767626 × 108
Variance40383325
MonotonicityNot monotonic
2023-12-10T23:51:01.883979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
551700 5
 
1.0%
552550 5
 
1.0%
557250 5
 
1.0%
553100 4
 
0.8%
554350 3
 
0.6%
550850 3
 
0.6%
550950 3
 
0.6%
543600 3
 
0.6%
556300 3
 
0.6%
550550 3
 
0.6%
Other values (219) 284
56.8%
(Missing) 179
35.8%
ValueCountFrequency (%)
536850 1
0.2%
538050 1
0.2%
538100 1
0.2%
539500 1
0.2%
539800 1
0.2%
539950 1
0.2%
540050 1
0.2%
540100 2
0.4%
540450 2
0.4%
540500 1
0.2%
ValueCountFrequency (%)
565800 1
0.2%
565650 1
0.2%
565600 1
0.2%
565400 1
0.2%
564600 1
0.2%
564200 1
0.2%
564150 1
0.2%
564050 1
0.2%
563950 1
0.2%
563800 1
0.2%

셀_블록구분코드(CELL_BLCK_SE_CD)
Categorical

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
CELL
321 
BLK
179 

Length

Max length4
Median length4
Mean length3.642
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowCELL
2nd rowCELL
3rd rowCELL
4th rowBLK
5th rowBLK

Common Values

ValueCountFrequency (%)
CELL 321
64.2%
BLK 179
35.8%

Length

2023-12-10T23:51:02.043602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:51:02.189424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
cell 321
64.2%
blk 179
35.8%

전체_직장인구수(TOT_WRC_POPLTN_CO)
Real number (ℝ)

Distinct149
Distinct (%)29.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean63.696
Minimum0
Maximum2230
Zeros3
Zeros (%)0.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:02.303467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q18
median21.5
Q353.25
95-th percentile221.45
Maximum2230
Range2230
Interquartile range (IQR)45.25

Descriptive statistics

Standard deviation171.92365
Coefficient of variation (CV)2.699128
Kurtosis73.454779
Mean63.696
Median Absolute Deviation (MAD)17.5
Skewness7.6709909
Sum31848
Variance29557.743
MonotonicityNot monotonic
2023-12-10T23:51:02.460584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 40
 
8.0%
2 18
 
3.6%
8 15
 
3.0%
3 15
 
3.0%
4 14
 
2.8%
6 13
 
2.6%
12 13
 
2.6%
16 12
 
2.4%
11 11
 
2.2%
17 10
 
2.0%
Other values (139) 339
67.8%
ValueCountFrequency (%)
0 3
 
0.6%
1 40
8.0%
2 18
3.6%
3 15
 
3.0%
4 14
 
2.8%
5 10
 
2.0%
6 13
 
2.6%
7 6
 
1.2%
8 15
 
3.0%
9 10
 
2.0%
ValueCountFrequency (%)
2230 1
0.2%
1554 1
0.2%
1294 1
0.2%
1175 1
0.2%
1107 1
0.2%
869 1
0.2%
778 1
0.2%
637 1
0.2%
617 1
0.2%
456 1
0.2%

남성_직장인구수(ML_WRC_POPLTN_CO)
Real number (ℝ)

ZEROS 

Distinct113
Distinct (%)22.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67.446
Minimum0
Maximum11572
Zeros26
Zeros (%)5.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:02.607527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median10
Q327.25
95-th percentile129.25
Maximum11572
Range11572
Interquartile range (IQR)23.25

Descriptive statistics

Standard deviation538.06729
Coefficient of variation (CV)7.9777495
Kurtosis421.44092
Mean67.446
Median Absolute Deviation (MAD)8
Skewness19.854242
Sum33723
Variance289516.41
MonotonicityNot monotonic
2023-12-10T23:51:02.787166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2 37
 
7.4%
1 36
 
7.2%
0 26
 
5.2%
3 24
 
4.8%
4 24
 
4.8%
8 24
 
4.8%
6 21
 
4.2%
5 21
 
4.2%
7 17
 
3.4%
14 16
 
3.2%
Other values (103) 254
50.8%
ValueCountFrequency (%)
0 26
5.2%
1 36
7.2%
2 37
7.4%
3 24
4.8%
4 24
4.8%
5 21
4.2%
6 21
4.2%
7 17
3.4%
8 24
4.8%
9 15
3.0%
ValueCountFrequency (%)
11572 1
0.2%
2082 1
0.2%
1478 1
0.2%
1035 1
0.2%
984 1
0.2%
979 1
0.2%
909 1
0.2%
678 1
0.2%
493 1
0.2%
488 2
0.4%

여성_직장인구수(FML_WRC_POPTN_CO)
Real number (ℝ)

ZEROS 

Distinct111
Distinct (%)22.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean43.428
Minimum0
Maximum1608
Zeros31
Zeros (%)6.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:02.925357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q14
median11
Q333
95-th percentile169.05
Maximum1608
Range1608
Interquartile range (IQR)29

Descriptive statistics

Standard deviation127.9828
Coefficient of variation (CV)2.947011
Kurtosis70.388553
Mean43.428
Median Absolute Deviation (MAD)9
Skewness7.5495837
Sum21714
Variance16379.596
MonotonicityNot monotonic
2023-12-10T23:51:03.063778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
3 33
 
6.6%
0 31
 
6.2%
2 26
 
5.2%
1 26
 
5.2%
6 21
 
4.2%
8 21
 
4.2%
4 18
 
3.6%
11 18
 
3.6%
5 17
 
3.4%
9 16
 
3.2%
Other values (101) 273
54.6%
ValueCountFrequency (%)
0 31
6.2%
1 26
5.2%
2 26
5.2%
3 33
6.6%
4 18
3.6%
5 17
3.4%
6 21
4.2%
7 15
3.0%
8 21
4.2%
9 16
3.2%
ValueCountFrequency (%)
1608 1
0.2%
1093 1
0.2%
1073 1
0.2%
1044 1
0.2%
716 1
0.2%
486 1
0.2%
471 1
0.2%
435 1
0.2%
400 1
0.2%
394 1
0.2%

10대_직장인구수(AGRDE_10_WRC_POPLTN_CO)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
0
490 
1
 
10

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 490
98.0%
1 10
 
2.0%

Length

2023-12-10T23:51:03.214046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:51:03.338759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 490
98.0%
1 10
 
2.0%

20대_직장인구수(AGRDE_20_WRC_POPLTN_CO)
Real number (ℝ)

ZEROS 

Distinct57
Distinct (%)11.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean9.858
Minimum0
Maximum501
Zeros146
Zeros (%)29.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:03.483158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q35
95-th percentile43.05
Maximum501
Range501
Interquartile range (IQR)5

Descriptive statistics

Standard deviation36.707011
Coefficient of variation (CV)3.7235759
Kurtosis102.5708
Mean9.858
Median Absolute Deviation (MAD)2
Skewness9.1341881
Sum4929
Variance1347.4046
MonotonicityNot monotonic
2023-12-10T23:51:03.651488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 146
29.2%
1 97
19.4%
2 56
 
11.2%
3 40
 
8.0%
4 30
 
6.0%
5 20
 
4.0%
8 10
 
2.0%
11 8
 
1.6%
9 8
 
1.6%
6 7
 
1.4%
Other values (47) 78
15.6%
ValueCountFrequency (%)
0 146
29.2%
1 97
19.4%
2 56
 
11.2%
3 40
 
8.0%
4 30
 
6.0%
5 20
 
4.0%
6 7
 
1.4%
7 7
 
1.4%
8 10
 
2.0%
9 8
 
1.6%
ValueCountFrequency (%)
501 1
0.2%
421 1
0.2%
289 1
0.2%
155 1
0.2%
148 1
0.2%
127 1
0.2%
123 1
0.2%
115 1
0.2%
108 1
0.2%
106 1
0.2%

30대_직장인구수(AGRDE_30_WRC_POPLTN_CO)
Real number (ℝ)

ZEROS 

Distinct65
Distinct (%)13.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.512
Minimum0
Maximum1002
Zeros98
Zeros (%)19.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:03.800772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q310.25
95-th percentile56.1
Maximum1002
Range1002
Interquartile range (IQR)9.25

Descriptive statistics

Standard deviation55.556953
Coefficient of variation (CV)3.8283457
Kurtosis206.31764
Mean14.512
Median Absolute Deviation (MAD)3
Skewness12.652216
Sum7256
Variance3086.575
MonotonicityNot monotonic
2023-12-10T23:51:03.987328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 98
19.6%
1 73
14.6%
2 62
12.4%
3 34
 
6.8%
4 27
 
5.4%
6 19
 
3.8%
5 18
 
3.6%
7 13
 
2.6%
12 13
 
2.6%
10 12
 
2.4%
Other values (55) 131
26.2%
ValueCountFrequency (%)
0 98
19.6%
1 73
14.6%
2 62
12.4%
3 34
 
6.8%
4 27
 
5.4%
5 18
 
3.6%
6 19
 
3.8%
7 13
 
2.6%
8 8
 
1.6%
9 11
 
2.2%
ValueCountFrequency (%)
1002 1
0.2%
388 1
0.2%
266 1
0.2%
245 1
0.2%
234 1
0.2%
218 1
0.2%
188 1
0.2%
145 1
0.2%
140 1
0.2%
128 1
0.2%

40대_직장인구수(AGRDE_40_WRC_POPLTN_CO)
Real number (ℝ)

ZEROS 

Distinct75
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.536
Minimum0
Maximum1116
Zeros64
Zeros (%)12.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:04.159021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median4
Q314
95-th percentile68.15
Maximum1116
Range1116
Interquartile range (IQR)13

Descriptive statistics

Standard deviation78.951196
Coefficient of variation (CV)4.0413184
Kurtosis119.29314
Mean19.536
Median Absolute Deviation (MAD)4
Skewness10.291831
Sum9768
Variance6233.2913
MonotonicityNot monotonic
2023-12-10T23:51:04.323605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 90
18.0%
0 64
12.8%
2 43
 
8.6%
4 31
 
6.2%
3 30
 
6.0%
5 20
 
4.0%
6 20
 
4.0%
9 17
 
3.4%
8 15
 
3.0%
11 14
 
2.8%
Other values (65) 156
31.2%
ValueCountFrequency (%)
0 64
12.8%
1 90
18.0%
2 43
8.6%
3 30
 
6.0%
4 31
 
6.2%
5 20
 
4.0%
6 20
 
4.0%
7 10
 
2.0%
8 15
 
3.0%
9 17
 
3.4%
ValueCountFrequency (%)
1116 1
0.2%
881 1
0.2%
689 1
0.2%
632 1
0.2%
258 1
0.2%
170 1
0.2%
163 1
0.2%
157 1
0.2%
139 1
0.2%
138 1
0.2%

50대_직장인구수(AGRDE_50_WRC_POPLTN_CO)
Real number (ℝ)

ZEROS 

Distinct70
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14.406
Minimum0
Maximum616
Zeros63
Zeros (%)12.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:04.481289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median5
Q313
95-th percentile51.05
Maximum616
Range616
Interquartile range (IQR)12

Descriptive statistics

Standard deviation38.384109
Coefficient of variation (CV)2.664453
Kurtosis127.01334
Mean14.406
Median Absolute Deviation (MAD)4
Skewness9.448999
Sum7203
Variance1473.3398
MonotonicityNot monotonic
2023-12-10T23:51:04.654299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 70
14.0%
0 63
 
12.6%
3 39
 
7.8%
2 38
 
7.6%
4 32
 
6.4%
5 30
 
6.0%
6 21
 
4.2%
11 14
 
2.8%
13 14
 
2.8%
7 13
 
2.6%
Other values (60) 166
33.2%
ValueCountFrequency (%)
0 63
12.6%
1 70
14.0%
2 38
7.6%
3 39
7.8%
4 32
6.4%
5 30
6.0%
6 21
 
4.2%
7 13
 
2.6%
8 13
 
2.6%
9 12
 
2.4%
ValueCountFrequency (%)
616 1
0.2%
229 1
0.2%
203 1
0.2%
200 1
0.2%
187 1
0.2%
183 1
0.2%
162 1
0.2%
161 1
0.2%
154 1
0.2%
151 1
0.2%

60대이상_직장인구수(AGRDE_60_ABOVE_POPLTN_CO)
Real number (ℝ)

ZEROS 

Distinct59
Distinct (%)11.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.32
Minimum0
Maximum621
Zeros57
Zeros (%)11.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:04.844457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q12
median5
Q312
95-th percentile39
Maximum621
Range621
Interquartile range (IQR)10

Descriptive statistics

Standard deviation44.505315
Coefficient of variation (CV)3.3412399
Kurtosis119.89269
Mean13.32
Median Absolute Deviation (MAD)4
Skewness10.177089
Sum6660
Variance1980.723
MonotonicityNot monotonic
2023-12-10T23:51:05.259390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 57
 
11.4%
2 55
 
11.0%
1 55
 
11.0%
5 40
 
8.0%
3 37
 
7.4%
4 31
 
6.2%
6 27
 
5.4%
7 24
 
4.8%
16 16
 
3.2%
12 15
 
3.0%
Other values (49) 143
28.6%
ValueCountFrequency (%)
0 57
11.4%
1 55
11.0%
2 55
11.0%
3 37
7.4%
4 31
6.2%
5 40
8.0%
6 27
5.4%
7 24
4.8%
8 15
 
3.0%
9 14
 
2.8%
ValueCountFrequency (%)
621 1
0.2%
532 1
0.2%
419 1
0.2%
176 1
0.2%
152 1
0.2%
139 1
0.2%
121 1
0.2%
120 1
0.2%
115 1
0.2%
108 1
0.2%

10대남성_직장인구수(AGRDE_10_ML_WRC_POPLTN_CO)
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size4.0 KiB
0
493 
1
 
7

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
0 493
98.6%
1 7
 
1.4%

Length

2023-12-10T23:51:05.405140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:51:05.496952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 493
98.6%
1 7
 
1.4%

20대남성_직장인구수(AGRDE_20_ML_WRC_POPLTN_CO)
Real number (ℝ)

ZEROS 

Distinct25
Distinct (%)5.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.576
Minimum0
Maximum346
Zeros239
Zeros (%)47.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:05.584179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile8
Maximum346
Range346
Interquartile range (IQR)2

Descriptive statistics

Standard deviation22.140656
Coefficient of variation (CV)6.1914586
Kurtosis176.84075
Mean3.576
Median Absolute Deviation (MAD)1
Skewness12.904138
Sum1788
Variance490.20864
MonotonicityNot monotonic
2023-12-10T23:51:05.731692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
0 239
47.8%
1 116
23.2%
2 45
 
9.0%
3 27
 
5.4%
4 14
 
2.8%
6 14
 
2.8%
5 8
 
1.6%
7 7
 
1.4%
8 7
 
1.4%
10 3
 
0.6%
Other values (15) 20
 
4.0%
ValueCountFrequency (%)
0 239
47.8%
1 116
23.2%
2 45
 
9.0%
3 27
 
5.4%
4 14
 
2.8%
5 8
 
1.6%
6 14
 
2.8%
7 7
 
1.4%
8 7
 
1.4%
10 3
 
0.6%
ValueCountFrequency (%)
346 1
0.2%
283 1
0.2%
199 1
0.2%
47 1
0.2%
34 2
0.4%
27 1
0.2%
25 1
0.2%
23 1
0.2%
21 1
0.2%
18 1
0.2%

30대남성_직장인구수(AGRDE_30_ML_WRC_POPLTN_CO)
Real number (ℝ)

ZEROS 

Distinct47
Distinct (%)9.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.614
Minimum0
Maximum1515
Zeros169
Zeros (%)33.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:05.911220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1.5
Q35
95-th percentile29
Maximum1515
Range1515
Interquartile range (IQR)5

Descriptive statistics

Standard deviation95.641621
Coefficient of variation (CV)7.0252403
Kurtosis205.51734
Mean13.614
Median Absolute Deviation (MAD)1.5
Skewness13.903457
Sum6807
Variance9147.3196
MonotonicityNot monotonic
2023-12-10T23:51:06.051852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=47)
ValueCountFrequency (%)
0 169
33.8%
1 81
16.2%
2 57
 
11.4%
3 27
 
5.4%
4 24
 
4.8%
5 19
 
3.8%
6 15
 
3.0%
12 10
 
2.0%
11 7
 
1.4%
7 7
 
1.4%
Other values (37) 84
16.8%
ValueCountFrequency (%)
0 169
33.8%
1 81
16.2%
2 57
 
11.4%
3 27
 
5.4%
4 24
 
4.8%
5 19
 
3.8%
6 15
 
3.0%
7 7
 
1.4%
8 7
 
1.4%
9 6
 
1.2%
ValueCountFrequency (%)
1515 1
0.2%
1380 1
0.2%
405 1
0.2%
283 1
0.2%
268 1
0.2%
245 1
0.2%
103 1
0.2%
87 1
0.2%
83 1
0.2%
82 1
0.2%

40대남성_직장인구수(AGRDE_40_ML_WRC_POPLTN_CO)
Real number (ℝ)

ZEROS 

Distinct54
Distinct (%)10.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean15.386
Minimum0
Maximum1720
Zeros118
Zeros (%)23.6%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:06.222780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q37
95-th percentile31.1
Maximum1720
Range1720
Interquartile range (IQR)6

Descriptive statistics

Standard deviation93.448179
Coefficient of variation (CV)6.073585
Kurtosis236.18528
Mean15.386
Median Absolute Deviation (MAD)2
Skewness14.174178
Sum7693
Variance8732.5621
MonotonicityNot monotonic
2023-12-10T23:51:06.361770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 118
23.6%
1 85
17.0%
2 59
11.8%
3 39
 
7.8%
4 26
 
5.2%
5 24
 
4.8%
9 21
 
4.2%
7 16
 
3.2%
6 14
 
2.8%
10 10
 
2.0%
Other values (44) 88
17.6%
ValueCountFrequency (%)
0 118
23.6%
1 85
17.0%
2 59
11.8%
3 39
 
7.8%
4 26
 
5.2%
5 24
 
4.8%
6 14
 
2.8%
7 16
 
3.2%
8 8
 
1.6%
9 21
 
4.2%
ValueCountFrequency (%)
1720 1
0.2%
839 1
0.2%
497 1
0.2%
343 1
0.2%
311 1
0.2%
309 1
0.2%
279 1
0.2%
277 1
0.2%
120 1
0.2%
109 1
0.2%

50대남성_직장인구수(AGRDE_50_ML_WRC_POPLTN_CO)
Real number (ℝ)

ZEROS 

Distinct50
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.704
Minimum0
Maximum314
Zeros109
Zeros (%)21.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:06.502899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q36
95-th percentile35.2
Maximum314
Range314
Interquartile range (IQR)5

Descriptive statistics

Standard deviation25.461362
Coefficient of variation (CV)2.9252484
Kurtosis65.327004
Mean8.704
Median Absolute Deviation (MAD)2
Skewness7.2517117
Sum4352
Variance648.28095
MonotonicityNot monotonic
2023-12-10T23:51:06.645118image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 109
21.8%
1 85
17.0%
2 62
12.4%
3 43
 
8.6%
4 31
 
6.2%
5 25
 
5.0%
6 21
 
4.2%
7 19
 
3.8%
9 12
 
2.4%
8 11
 
2.2%
Other values (40) 82
16.4%
ValueCountFrequency (%)
0 109
21.8%
1 85
17.0%
2 62
12.4%
3 43
 
8.6%
4 31
 
6.2%
5 25
 
5.0%
6 21
 
4.2%
7 19
 
3.8%
8 11
 
2.2%
9 12
 
2.4%
ValueCountFrequency (%)
314 1
0.2%
235 1
0.2%
191 1
0.2%
172 1
0.2%
159 1
0.2%
133 1
0.2%
113 1
0.2%
93 1
0.2%
83 1
0.2%
79 1
0.2%

60대이상남성_직장인구수(AGRDE_60_ML_ABOVE_POPLTN_CO)
Real number (ℝ)

ZEROS 

Distinct45
Distinct (%)9.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.702
Minimum0
Maximum315
Zeros122
Zeros (%)24.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:06.815448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q36
95-th percentile25
Maximum315
Range315
Interquartile range (IQR)5

Descriptive statistics

Standard deviation19.167158
Coefficient of variation (CV)2.8599162
Kurtosis143.96428
Mean6.702
Median Absolute Deviation (MAD)2
Skewness10.268365
Sum3351
Variance367.37996
MonotonicityNot monotonic
2023-12-10T23:51:06.969910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
0 122
24.4%
1 87
17.4%
2 56
11.2%
3 49
9.8%
4 35
 
7.0%
6 21
 
4.2%
5 20
 
4.0%
8 14
 
2.8%
7 13
 
2.6%
17 7
 
1.4%
Other values (35) 76
15.2%
ValueCountFrequency (%)
0 122
24.4%
1 87
17.4%
2 56
11.2%
3 49
9.8%
4 35
 
7.0%
5 20
 
4.0%
6 21
 
4.2%
7 13
 
2.6%
8 14
 
2.8%
9 6
 
1.2%
ValueCountFrequency (%)
315 1
0.2%
155 1
0.2%
109 1
0.2%
96 1
0.2%
84 1
0.2%
73 1
0.2%
58 1
0.2%
55 1
0.2%
52 1
0.2%
48 1
0.2%

10대여성_직장인구수(AGRDE_10_FML_WRC_POPLTN_CO)
Real number (ℝ)

ZEROS 

Distinct6
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean0.062
Minimum0
Maximum6
Zeros482
Zeros (%)96.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:07.086740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile0
Maximum6
Range6
Interquartile range (IQR)0

Descriptive statistics

Standard deviation0.42250802
Coefficient of variation (CV)6.8146455
Kurtosis121.13409
Mean0.062
Median Absolute Deviation (MAD)0
Skewness10.145551
Sum31
Variance0.17851303
MonotonicityNot monotonic
2023-12-10T23:51:07.185805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
0 482
96.4%
1 13
 
2.6%
2 2
 
0.4%
3 1
 
0.2%
5 1
 
0.2%
6 1
 
0.2%
ValueCountFrequency (%)
0 482
96.4%
1 13
 
2.6%
2 2
 
0.4%
3 1
 
0.2%
5 1
 
0.2%
6 1
 
0.2%
ValueCountFrequency (%)
6 1
 
0.2%
5 1
 
0.2%
3 1
 
0.2%
2 2
 
0.4%
1 13
 
2.6%
0 482
96.4%

20대여성_직장인구수(AGRDE_20_FML_WRC_POPLTN_CO)
Real number (ℝ)

ZEROS 

Distinct38
Distinct (%)7.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.372
Minimum0
Maximum360
Zeros192
Zeros (%)38.4%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:07.320591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q33
95-th percentile17.05
Maximum360
Range360
Interquartile range (IQR)3

Descriptive statistics

Standard deviation24.804438
Coefficient of variation (CV)4.6173563
Kurtosis137.99457
Mean5.372
Median Absolute Deviation (MAD)1
Skewness11.009572
Sum2686
Variance615.26014
MonotonicityNot monotonic
2023-12-10T23:51:07.448903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
0 192
38.4%
1 117
23.4%
2 46
 
9.2%
3 30
 
6.0%
5 21
 
4.2%
4 18
 
3.6%
7 10
 
2.0%
6 8
 
1.6%
8 7
 
1.4%
9 6
 
1.2%
Other values (28) 45
 
9.0%
ValueCountFrequency (%)
0 192
38.4%
1 117
23.4%
2 46
 
9.2%
3 30
 
6.0%
4 18
 
3.6%
5 21
 
4.2%
6 8
 
1.6%
7 10
 
2.0%
8 7
 
1.4%
9 6
 
1.2%
ValueCountFrequency (%)
360 1
0.2%
315 1
0.2%
171 1
0.2%
147 1
0.2%
108 1
0.2%
82 1
0.2%
43 2
0.4%
42 1
0.2%
40 1
0.2%
36 1
0.2%

30대여성_직장인구수(AGRDE_30_FML_WRC_POPLTN_CO)
Real number (ℝ)

ZEROS 

Distinct56
Distinct (%)11.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.08
Minimum0
Maximum403
Zeros134
Zeros (%)26.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:07.605104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q36
95-th percentile38
Maximum403
Range403
Interquartile range (IQR)6

Descriptive statistics

Standard deviation35.522518
Coefficient of variation (CV)3.5240593
Kurtosis70.735743
Mean10.08
Median Absolute Deviation (MAD)2
Skewness7.9763874
Sum5040
Variance1261.8493
MonotonicityNot monotonic
2023-12-10T23:51:07.755088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 134
26.8%
1 80
16.0%
2 59
11.8%
3 38
 
7.6%
4 36
 
7.2%
5 23
 
4.6%
6 13
 
2.6%
8 11
 
2.2%
9 11
 
2.2%
19 9
 
1.8%
Other values (46) 86
17.2%
ValueCountFrequency (%)
0 134
26.8%
1 80
16.0%
2 59
11.8%
3 38
 
7.6%
4 36
 
7.2%
5 23
 
4.6%
6 13
 
2.6%
7 6
 
1.2%
8 11
 
2.2%
9 11
 
2.2%
ValueCountFrequency (%)
403 1
0.2%
344 1
0.2%
323 1
0.2%
285 1
0.2%
247 1
0.2%
245 1
0.2%
87 1
0.2%
83 1
0.2%
79 1
0.2%
63 1
0.2%

40대여성_직장인구수(AGRDE_40_FML_WRC_POPLTN_CO)
Real number (ℝ)

ZEROS 

Distinct49
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.554
Minimum0
Maximum614
Zeros119
Zeros (%)23.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:07.943510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q37
95-th percentile36
Maximum614
Range614
Interquartile range (IQR)6

Descriptive statistics

Standard deviation40.643756
Coefficient of variation (CV)3.8510286
Kurtosis117.04053
Mean10.554
Median Absolute Deviation (MAD)2
Skewness9.7038737
Sum5277
Variance1651.9149
MonotonicityNot monotonic
2023-12-10T23:51:08.119847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
0 119
23.8%
1 73
14.6%
2 66
13.2%
3 42
 
8.4%
4 31
 
6.2%
6 23
 
4.6%
5 18
 
3.6%
10 15
 
3.0%
7 14
 
2.8%
8 11
 
2.2%
Other values (39) 88
17.6%
ValueCountFrequency (%)
0 119
23.8%
1 73
14.6%
2 66
13.2%
3 42
 
8.4%
4 31
 
6.2%
5 18
 
3.6%
6 23
 
4.6%
7 14
 
2.8%
8 11
 
2.2%
9 7
 
1.4%
ValueCountFrequency (%)
614 1
0.2%
352 1
0.2%
306 1
0.2%
266 1
0.2%
190 1
0.2%
184 1
0.2%
176 1
0.2%
162 1
0.2%
107 1
0.2%
102 1
0.2%

50대여성_직장인구수(AGRDE_50_FML_WRC_POPLTN_CO)
Real number (ℝ)

ZEROS 

Distinct50
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.998
Minimum0
Maximum547
Zeros101
Zeros (%)20.2%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:08.265490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q38
95-th percentile29
Maximum547
Range547
Interquartile range (IQR)7

Descriptive statistics

Standard deviation28.960584
Coefficient of variation (CV)3.2185579
Kurtosis244.4007
Mean8.998
Median Absolute Deviation (MAD)3
Skewness13.980535
Sum4499
Variance838.71543
MonotonicityNot monotonic
2023-12-10T23:51:08.415730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 101
20.2%
1 74
14.8%
3 42
 
8.4%
2 42
 
8.4%
5 37
 
7.4%
4 31
 
6.2%
6 24
 
4.8%
7 17
 
3.4%
10 12
 
2.4%
8 9
 
1.8%
Other values (40) 111
22.2%
ValueCountFrequency (%)
0 101
20.2%
1 74
14.8%
2 42
8.4%
3 42
8.4%
4 31
 
6.2%
5 37
 
7.4%
6 24
 
4.8%
7 17
 
3.4%
8 9
 
1.8%
9 6
 
1.2%
ValueCountFrequency (%)
547 1
0.2%
186 1
0.2%
182 1
0.2%
98 1
0.2%
75 1
0.2%
70 1
0.2%
69 2
0.4%
65 1
0.2%
57 1
0.2%
55 1
0.2%

60대이상여성_직장인구수(AGRDE_60_FML_ABOVE_POPLTN_CO)
Real number (ℝ)

ZEROS 

Distinct39
Distinct (%)7.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.332
Minimum0
Maximum169
Zeros149
Zeros (%)29.8%
Negative0
Negative (%)0.0%
Memory size4.5 KiB
2023-12-10T23:51:08.560791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q34
95-th percentile20.1
Maximum169
Range169
Interquartile range (IQR)4

Descriptive statistics

Standard deviation15.712273
Coefficient of variation (CV)2.9467879
Kurtosis67.154147
Mean5.332
Median Absolute Deviation (MAD)2
Skewness7.5210477
Sum2666
Variance246.87553
MonotonicityNot monotonic
2023-12-10T23:51:08.724818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
0 149
29.8%
1 94
18.8%
2 74
14.8%
3 38
 
7.6%
4 25
 
5.0%
5 22
 
4.4%
6 14
 
2.8%
7 13
 
2.6%
10 10
 
2.0%
8 9
 
1.8%
Other values (29) 52
 
10.4%
ValueCountFrequency (%)
0 149
29.8%
1 94
18.8%
2 74
14.8%
3 38
 
7.6%
4 25
 
5.0%
5 22
 
4.4%
6 14
 
2.8%
7 13
 
2.6%
8 9
 
1.8%
9 6
 
1.2%
ValueCountFrequency (%)
169 2
0.4%
151 1
0.2%
116 1
0.2%
82 1
0.2%
67 1
0.2%
53 1
0.2%
50 1
0.2%
49 1
0.2%
47 1
0.2%
45 2
0.4%

Sample

기준년월(STDR_YM)단위코드1(UNIT_CD1)단위코드2(UNIT_CD2)셀_블록구분코드(CELL_BLCK_SE_CD)전체_직장인구수(TOT_WRC_POPLTN_CO)남성_직장인구수(ML_WRC_POPLTN_CO)여성_직장인구수(FML_WRC_POPTN_CO)10대_직장인구수(AGRDE_10_WRC_POPLTN_CO)20대_직장인구수(AGRDE_20_WRC_POPLTN_CO)30대_직장인구수(AGRDE_30_WRC_POPLTN_CO)40대_직장인구수(AGRDE_40_WRC_POPLTN_CO)50대_직장인구수(AGRDE_50_WRC_POPLTN_CO)60대이상_직장인구수(AGRDE_60_ABOVE_POPLTN_CO)10대남성_직장인구수(AGRDE_10_ML_WRC_POPLTN_CO)20대남성_직장인구수(AGRDE_20_ML_WRC_POPLTN_CO)30대남성_직장인구수(AGRDE_30_ML_WRC_POPLTN_CO)40대남성_직장인구수(AGRDE_40_ML_WRC_POPLTN_CO)50대남성_직장인구수(AGRDE_50_ML_WRC_POPLTN_CO)60대이상남성_직장인구수(AGRDE_60_ML_ABOVE_POPLTN_CO)10대여성_직장인구수(AGRDE_10_FML_WRC_POPLTN_CO)20대여성_직장인구수(AGRDE_20_FML_WRC_POPLTN_CO)30대여성_직장인구수(AGRDE_30_FML_WRC_POPLTN_CO)40대여성_직장인구수(AGRDE_40_FML_WRC_POPLTN_CO)50대여성_직장인구수(AGRDE_50_FML_WRC_POPLTN_CO)60대이상여성_직장인구수(AGRDE_60_FML_ABOVE_POPLTN_CO)
0201602313200561100CELL783700102190410810121130
1201602307200555300CELL2310000304007100094010
2201602312150551700CELL556403060220009900012002
32016022*8*5*<NA>BLK525360634011500011800071550
42016022*5*1*<NA>BLK750215017231614072132003001
5201602304650542050CELL15810066055010060042360
6201602318200550700CELL930700672100117036002613
7201602313300551700CELL2331100222191202103300218702
82016023*5*6*<NA>BLK13034708165620070333037008
9201602315900541200CELL647600081210140030023200
기준년월(STDR_YM)단위코드1(UNIT_CD1)단위코드2(UNIT_CD2)셀_블록구분코드(CELL_BLCK_SE_CD)전체_직장인구수(TOT_WRC_POPLTN_CO)남성_직장인구수(ML_WRC_POPLTN_CO)여성_직장인구수(FML_WRC_POPTN_CO)10대_직장인구수(AGRDE_10_WRC_POPLTN_CO)20대_직장인구수(AGRDE_20_WRC_POPLTN_CO)30대_직장인구수(AGRDE_30_WRC_POPLTN_CO)40대_직장인구수(AGRDE_40_WRC_POPLTN_CO)50대_직장인구수(AGRDE_50_WRC_POPLTN_CO)60대이상_직장인구수(AGRDE_60_ABOVE_POPLTN_CO)10대남성_직장인구수(AGRDE_10_ML_WRC_POPLTN_CO)20대남성_직장인구수(AGRDE_20_ML_WRC_POPLTN_CO)30대남성_직장인구수(AGRDE_30_ML_WRC_POPLTN_CO)40대남성_직장인구수(AGRDE_40_ML_WRC_POPLTN_CO)50대남성_직장인구수(AGRDE_50_ML_WRC_POPLTN_CO)60대이상남성_직장인구수(AGRDE_60_ML_ABOVE_POPLTN_CO)10대여성_직장인구수(AGRDE_10_FML_WRC_POPLTN_CO)20대여성_직장인구수(AGRDE_20_FML_WRC_POPLTN_CO)30대여성_직장인구수(AGRDE_30_FML_WRC_POPLTN_CO)40대여성_직장인구수(AGRDE_40_FML_WRC_POPLTN_CO)50대여성_직장인구수(AGRDE_50_FML_WRC_POPLTN_CO)60대이상여성_직장인구수(AGRDE_60_FML_ABOVE_POPLTN_CO)
490201602321650548350CELL5173018611160012110171094
491201602316100564150CELL130101219213013052004004
492201602313650550650CELL69493032027001440640213
493201602315200541550CELL2617520057111001213540002152
4942016022*5*3*<NA>BLK552406031631460101120002340
495201602319600557250CELL311406613150149150051042
496201602315700546450CELL521303010341604502100204360
4972016021*2*5*<NA>BLK57010291151300113235100201021
498201602302900543350CELL3621001676249025182130025410
499201602319050553750CELL21616002317004045002312320