Overview

Dataset statistics

Number of variables23
Number of observations10000
Missing cells21683
Missing cells (%)9.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 MiB
Average record size in memory213.0 B

Variable types

Numeric18
Text2
Unsupported2
Categorical1

Dataset

Description경기도_주민등록인구통계세대원수별세대수정제기본
Author경기도
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=D913BYZEXTRPQ45BCML634678421&infSeq=1

Alerts

총세대수 has 112 (1.1%) missing valuesMissing
1인세대수 has 112 (1.1%) missing valuesMissing
2인세대수 has 112 (1.1%) missing valuesMissing
3인세대수 has 112 (1.1%) missing valuesMissing
4인세대수 has 112 (1.1%) missing valuesMissing
5인세대수 has 112 (1.1%) missing valuesMissing
6인세대수 has 112 (1.1%) missing valuesMissing
7인세대수 has 112 (1.1%) missing valuesMissing
8인세대수 has 10000 (100.0%) missing valuesMissing
9인세대수 has 112 (1.1%) missing valuesMissing
10인이상세대수 has 112 (1.1%) missing valuesMissing
4인이상세대수 has 112 (1.1%) missing valuesMissing
1인세대비율 has 112 (1.1%) missing valuesMissing
2인세대비율 has 112 (1.1%) missing valuesMissing
3인세대비율 has 112 (1.1%) missing valuesMissing
4인이상세대비율 has 112 (1.1%) missing valuesMissing
마트완료여부 has 10000 (100.0%) missing valuesMissing
행정동코드 is highly skewed (γ1 = -51.55934592)Skewed
8인세대수 is an unsupported type, check if it needs cleaning or further analysisUnsupported
마트완료여부 is an unsupported type, check if it needs cleaning or further analysisUnsupported
9인세대수 has 351 (3.5%) zerosZeros
10인이상세대수 has 3518 (35.2%) zerosZeros

Reproduction

Analysis started2024-03-12 23:33:56.632809
Analysis finished2024-03-12 23:33:57.147747
Duration0.51 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기준연월
Real number (ℝ)

Distinct34
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201699.37
Minimum201601
Maximum201810
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T08:33:57.202505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201601
5-th percentile201602
Q1201609
median201705
Q3201802
95-th percentile201809
Maximum201810
Range209
Interquartile range (IQR)193

Descriptive statistics

Standard deviation79.344114
Coefficient of variation (CV)0.00039337809
Kurtosis-1.4127059
Mean201699.37
Median Absolute Deviation (MAD)96
Skewness0.11536655
Sum2.0169937 × 109
Variance6295.4885
MonotonicityNot monotonic
2024-03-13T08:33:57.302788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
201708 339
 
3.4%
201705 308
 
3.1%
201610 307
 
3.1%
201611 306
 
3.1%
201711 305
 
3.0%
201605 305
 
3.0%
201608 305
 
3.0%
201604 304
 
3.0%
201601 304
 
3.0%
201712 302
 
3.0%
Other values (24) 6915
69.2%
ValueCountFrequency (%)
201601 304
3.0%
201602 293
2.9%
201603 266
2.7%
201604 304
3.0%
201605 305
3.0%
201606 290
2.9%
201607 279
2.8%
201608 305
3.0%
201609 290
2.9%
201610 307
3.1%
ValueCountFrequency (%)
201810 285
2.9%
201809 291
2.9%
201808 291
2.9%
201807 296
3.0%
201806 276
2.8%
201805 278
2.8%
201804 292
2.9%
201803 274
2.7%
201802 281
2.8%
201801 288
2.9%

시군코드
Real number (ℝ)

Distinct31
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4135.2591
Minimum4111
Maximum4183
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T08:33:57.397364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4111
5-th percentile4111
Q14117
median4128
Q34148
95-th percentile4167
Maximum4183
Range72
Interquartile range (IQR)31

Descriptive statistics

Standard deviation20.085231
Coefficient of variation (CV)0.0048570671
Kurtosis-0.62387429
Mean4135.2591
Median Absolute Deviation (MAD)15
Skewness0.62722733
Sum41352591
Variance403.41651
MonotonicityNot monotonic
2024-03-13T08:33:57.498376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
4113 891
 
8.9%
4111 791
 
7.9%
4128 677
 
6.8%
4119 652
 
6.5%
4146 586
 
5.9%
4117 555
 
5.5%
4127 480
 
4.8%
4159 419
 
4.2%
4122 376
 
3.8%
4121 334
 
3.3%
Other values (21) 4239
42.4%
ValueCountFrequency (%)
4111 791
7.9%
4113 891
8.9%
4115 278
 
2.8%
4117 555
5.5%
4119 652
6.5%
4121 334
 
3.3%
4122 376
3.8%
4125 141
 
1.4%
4127 480
4.8%
4128 677
6.8%
ValueCountFrequency (%)
4183 225
2.2%
4182 98
 
1.0%
4180 172
1.7%
4167 207
2.1%
4165 259
2.6%
4163 204
2.0%
4161 171
1.7%
4159 419
4.2%
4157 228
2.3%
4155 257
2.6%

행정동코드
Real number (ℝ)

SKEWED 

Distinct618
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41341995
Minimum4136
Maximum41830410
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T08:33:57.606670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4136
5-th percentile41115700
Q141173620
median41285590
Q341480570
95-th percentile41670530
Maximum41830410
Range41826274
Interquartile range (IQR)306950

Descriptive statistics

Standard deviation743506.43
Coefficient of variation (CV)0.01798429
Kurtosis2865.6672
Mean41341995
Median Absolute Deviation (MAD)150030
Skewness-51.559346
Sum4.1341995 × 1011
Variance5.5280181 × 1011
MonotonicityNot monotonic
2024-03-13T08:33:57.744261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
41480370 26
 
0.3%
41150620 25
 
0.2%
41461520 25
 
0.2%
41115720 25
 
0.2%
41281540 24
 
0.2%
41360259 24
 
0.2%
41670360 24
 
0.2%
41463515 24
 
0.2%
41135657 24
 
0.2%
41173600 24
 
0.2%
Other values (608) 9755
97.5%
ValueCountFrequency (%)
4136 3
 
< 0.1%
41111560 19
0.2%
41111566 14
0.1%
41111571 17
0.2%
41111572 20
0.2%
41111573 23
0.2%
41111580 13
0.1%
41111591 14
0.1%
41111597 18
0.2%
41111598 19
0.2%
ValueCountFrequency (%)
41830410 16
0.2%
41830400 21
0.2%
41830395 17
0.2%
41830380 16
0.2%
41830370 17
0.2%
41830360 21
0.2%
41830350 22
0.2%
41830340 16
0.2%
41830330 21
0.2%
41830320 21
0.2%

시군명
Text

Distinct51
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-03-13T08:33:57.920637image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.4088
Min length3

Characters and Unicode

Total characters34088
Distinct characters62
Distinct categories2 ?
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 row고양시
2nd row평택시
3rd row고양시
4th row고양시
5th row이천시
ValueCountFrequency (%)
성남시 891
 
8.2%
수원시 791
 
7.3%
고양시 677
 
6.3%
부천시 652
 
6.0%
용인시 586
 
5.4%
안양시 555
 
5.1%
안산시 480
 
4.4%
화성시 419
 
3.9%
평택시 376
 
3.5%
광명시 334
 
3.1%
Other values (41) 5063
46.8%
2024-03-13T08:33:58.197299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 9800
28.7%
양 2028
 
5.9%
천 1578
 
4.6%
성 1567
 
4.6%
안 1417
 
4.2%
남 1412
 
4.1%
주 1199
 
3.5%
구 949
 
2.8%
원 931
 
2.7%
부 930
 
2.7%
Other values (52) 12277
36.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 33264
97.6%
Space Separator 824
 
2.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 9800
29.5%
양 2028
 
6.1%
천 1578
 
4.7%
성 1567
 
4.7%
안 1417
 
4.3%
남 1412
 
4.2%
주 1199
 
3.6%
구 949
 
2.9%
원 931
 
2.8%
부 930
 
2.8%
Other values (51) 11453
34.4%
Space Separator
ValueCountFrequency (%)
824
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 33264
97.6%
Common 824
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 9800
29.5%
양 2028
 
6.1%
천 1578
 
4.7%
성 1567
 
4.7%
안 1417
 
4.3%
남 1412
 
4.2%
주 1199
 
3.6%
구 949
 
2.9%
원 931
 
2.8%
부 930
 
2.8%
Other values (51) 11453
34.4%
Common
ValueCountFrequency (%)
824
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 33264
97.6%
ASCII 824
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 9800
29.5%
양 2028
 
6.1%
천 1578
 
4.7%
성 1567
 
4.7%
안 1417
 
4.3%
남 1412
 
4.2%
주 1199
 
3.6%
구 949
 
2.9%
원 931
 
2.8%
부 930
 
2.8%
Other values (51) 11453
34.4%
ASCII
ValueCountFrequency (%)
824
100.0%

행정동명
Text

Distinct557
Distinct (%)5.6%
Missing3
Missing (%)< 0.1%
Memory size156.2 KiB
2024-03-13T08:33:58.422285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length3.3830149
Min length2

Characters and Unicode

Total characters33820
Distinct characters200
Distinct categories2 ?
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 row화정1동
2nd row송탄동
3rd row송산동
4th row화정1동
5th row부발읍
ValueCountFrequency (%)
중앙동 131
 
1.3%
금곡동 56
 
0.6%
정자2동 43
 
0.4%
신장1동 42
 
0.4%
신촌동 40
 
0.4%
부림동 38
 
0.4%
정자3동 38
 
0.4%
풍산동 35
 
0.4%
신장2동 34
 
0.3%
반월동 33
 
0.3%
Other values (547) 9507
95.1%
2024-03-13T08:33:58.757552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 7825
23.1%
면 1827
 
5.4%
1 1462
 
4.3%
2 1352
 
4.0%
산 650
 
1.9%
3 634
 
1.9%
읍 634
 
1.9%
정 556
 
1.6%
양 502
 
1.5%
신 491
 
1.5%
Other values (190) 17887
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 30027
88.8%
Decimal Number 3793
 
11.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 7825
26.1%
면 1827
 
6.1%
산 650
 
2.2%
읍 634
 
2.1%
정 556
 
1.9%
양 502
 
1.7%
신 491
 
1.6%
곡 440
 
1.5%
안 438
 
1.5%
원 426
 
1.4%
Other values (181) 16238
54.1%
Decimal Number
ValueCountFrequency (%)
1 1462
38.5%
2 1352
35.6%
3 634
16.7%
4 187
 
4.9%
5 44
 
1.2%
6 37
 
1.0%
7 35
 
0.9%
8 22
 
0.6%
9 20
 
0.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 30027
88.8%
Common 3793
 
11.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 7825
26.1%
면 1827
 
6.1%
산 650
 
2.2%
읍 634
 
2.1%
정 556
 
1.9%
양 502
 
1.7%
신 491
 
1.6%
곡 440
 
1.5%
안 438
 
1.5%
원 426
 
1.4%
Other values (181) 16238
54.1%
Common
ValueCountFrequency (%)
1 1462
38.5%
2 1352
35.6%
3 634
16.7%
4 187
 
4.9%
5 44
 
1.2%
6 37
 
1.0%
7 35
 
0.9%
8 22
 
0.6%
9 20
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 30027
88.8%
ASCII 3793
 
11.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 7825
26.1%
면 1827
 
6.1%
산 650
 
2.2%
읍 634
 
2.1%
정 556
 
1.9%
양 502
 
1.7%
신 491
 
1.6%
곡 440
 
1.5%
안 438
 
1.5%
원 426
 
1.4%
Other values (181) 16238
54.1%
ASCII
ValueCountFrequency (%)
1 1462
38.5%
2 1352
35.6%
3 634
16.7%
4 187
 
4.9%
5 44
 
1.2%
6 37
 
1.0%
7 35
 
0.9%
8 22
 
0.6%
9 20
 
0.5%

총세대수
Real number (ℝ)

MISSING 

Distinct7298
Distinct (%)73.8%
Missing112
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean9057.3214
Minimum70
Maximum44251
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T08:33:58.871784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum70
5-th percentile1810
Q14906.75
median8320
Q312127.25
95-th percentile18838.95
Maximum44251
Range44181
Interquartile range (IQR)7220.5

Descriptive statistics

Standard deviation5587.2864
Coefficient of variation (CV)0.61688066
Kurtosis3.6420116
Mean9057.3214
Median Absolute Deviation (MAD)3590
Skewness1.3201358
Sum89558794
Variance31217769
MonotonicityNot monotonic
2024-03-13T08:33:58.983750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
10446 6
 
0.1%
4606 6
 
0.1%
7474 6
 
0.1%
5255 6
 
0.1%
3849 6
 
0.1%
5739 5
 
0.1%
7082 5
 
0.1%
4448 5
 
0.1%
2317 5
 
0.1%
1970 5
 
0.1%
Other values (7288) 9833
98.3%
(Missing) 112
 
1.1%
ValueCountFrequency (%)
70 4
< 0.1%
71 3
< 0.1%
72 1
 
< 0.1%
73 2
< 0.1%
74 2
< 0.1%
75 2
< 0.1%
76 2
< 0.1%
78 1
 
< 0.1%
107 1
 
< 0.1%
108 1
 
< 0.1%
ValueCountFrequency (%)
44251 1
< 0.1%
44057 1
< 0.1%
43849 1
< 0.1%
43645 1
< 0.1%
42258 1
< 0.1%
41657 1
< 0.1%
41527 1
< 0.1%
41339 1
< 0.1%
41265 1
< 0.1%
41125 1
< 0.1%

1인세대수
Real number (ℝ)

MISSING 

Distinct4739
Distinct (%)47.9%
Missing112
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean2926.945
Minimum19
Maximum14242
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T08:33:59.350896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile737
Q11622
median2581.5
Q33762.25
95-th percentile6340.3
Maximum14242
Range14223
Interquartile range (IQR)2140.25

Descriptive statistics

Standard deviation1848.5702
Coefficient of variation (CV)0.63156986
Kurtosis3.8803213
Mean2926.945
Median Absolute Deviation (MAD)1053
Skewness1.5303877
Sum28941632
Variance3417212
MonotonicityNot monotonic
2024-03-13T08:33:59.458453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1274 11
 
0.1%
2007 10
 
0.1%
1414 10
 
0.1%
1951 10
 
0.1%
1435 9
 
0.1%
1412 9
 
0.1%
2625 9
 
0.1%
994 9
 
0.1%
1714 9
 
0.1%
3534 8
 
0.1%
Other values (4729) 9794
97.9%
(Missing) 112
 
1.1%
ValueCountFrequency (%)
19 5
0.1%
20 1
 
< 0.1%
23 5
0.1%
24 1
 
< 0.1%
25 3
< 0.1%
27 1
 
< 0.1%
31 1
 
< 0.1%
63 1
 
< 0.1%
64 3
< 0.1%
65 3
< 0.1%
ValueCountFrequency (%)
14242 1
< 0.1%
13958 1
< 0.1%
13795 1
< 0.1%
13791 1
< 0.1%
13736 1
< 0.1%
13645 1
< 0.1%
13622 1
< 0.1%
13535 1
< 0.1%
13472 1
< 0.1%
13444 1
< 0.1%

2인세대수
Real number (ℝ)

MISSING 

Distinct3477
Distinct (%)35.2%
Missing112
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean1831.6811
Minimum16
Maximum10068
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T08:33:59.579266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum16
5-th percentile451
Q11062
median1685
Q32388
95-th percentile3707
Maximum10068
Range10052
Interquartile range (IQR)1326

Descriptive statistics

Standard deviation1102.8481
Coefficient of variation (CV)0.6020961
Kurtosis6.5877803
Mean1831.6811
Median Absolute Deviation (MAD)649
Skewness1.693647
Sum18111663
Variance1216273.9
MonotonicityNot monotonic
2024-03-13T08:33:59.693399image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1059 12
 
0.1%
1070 12
 
0.1%
2055 11
 
0.1%
1068 11
 
0.1%
660 11
 
0.1%
1665 11
 
0.1%
1554 10
 
0.1%
1816 10
 
0.1%
1902 10
 
0.1%
691 10
 
0.1%
Other values (3467) 9780
97.8%
(Missing) 112
 
1.1%
ValueCountFrequency (%)
16 2
 
< 0.1%
17 1
 
< 0.1%
18 2
 
< 0.1%
19 1
 
< 0.1%
20 8
0.1%
21 4
< 0.1%
24 4
< 0.1%
25 1
 
< 0.1%
26 2
 
< 0.1%
27 3
 
< 0.1%
ValueCountFrequency (%)
10068 1
< 0.1%
9982 1
< 0.1%
9905 1
< 0.1%
9845 1
< 0.1%
9834 1
< 0.1%
9611 1
< 0.1%
9509 1
< 0.1%
9139 1
< 0.1%
9126 1
< 0.1%
9082 1
< 0.1%

3인세대수
Real number (ℝ)

MISSING 

Distinct3643
Distinct (%)36.8%
Missing112
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean1758.4223
Minimum4
Maximum8870
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T08:33:59.801668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile233
Q1847
median1606
Q32384.25
95-th percentile3941.65
Maximum8870
Range8866
Interquartile range (IQR)1537.25

Descriptive statistics

Standard deviation1220.0306
Coefficient of variation (CV)0.69382112
Kurtosis3.0434034
Mean1758.4223
Median Absolute Deviation (MAD)766
Skewness1.2847724
Sum17387280
Variance1488474.5
MonotonicityNot monotonic
2024-03-13T08:33:59.906886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
302 12
 
0.1%
169 12
 
0.1%
1322 12
 
0.1%
1782 11
 
0.1%
189 11
 
0.1%
524 10
 
0.1%
1971 10
 
0.1%
1768 10
 
0.1%
1723 10
 
0.1%
529 10
 
0.1%
Other values (3633) 9780
97.8%
(Missing) 112
 
1.1%
ValueCountFrequency (%)
4 1
 
< 0.1%
5 5
0.1%
6 7
0.1%
7 4
< 0.1%
8 1
 
< 0.1%
9 4
< 0.1%
10 2
 
< 0.1%
11 6
0.1%
12 2
 
< 0.1%
13 3
< 0.1%
ValueCountFrequency (%)
8870 1
< 0.1%
8856 1
< 0.1%
8836 1
< 0.1%
8776 1
< 0.1%
8603 1
< 0.1%
8441 1
< 0.1%
8386 1
< 0.1%
8289 1
< 0.1%
8286 1
< 0.1%
8275 1
< 0.1%

4인세대수
Real number (ℝ)

MISSING 

Distinct4101
Distinct (%)41.5%
Missing112
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean1915.9473
Minimum4
Maximum10196
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T08:34:00.030666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile153
Q1719
median1620.5
Q32697
95-th percentile4853.65
Maximum10196
Range10192
Interquartile range (IQR)1978

Descriptive statistics

Standard deviation1531.0128
Coefficient of variation (CV)0.79908921
Kurtosis2.1239786
Mean1915.9473
Median Absolute Deviation (MAD)963.5
Skewness1.2817249
Sum18944887
Variance2344000.3
MonotonicityNot monotonic
2024-03-13T08:34:00.147253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
130 15
 
0.1%
128 14
 
0.1%
195 12
 
0.1%
218 11
 
0.1%
364 11
 
0.1%
259 10
 
0.1%
122 10
 
0.1%
215 10
 
0.1%
2058 10
 
0.1%
203 10
 
0.1%
Other values (4091) 9775
97.8%
(Missing) 112
 
1.1%
ValueCountFrequency (%)
4 1
 
< 0.1%
5 3
< 0.1%
6 1
 
< 0.1%
7 5
0.1%
8 3
< 0.1%
9 6
0.1%
10 3
< 0.1%
11 3
< 0.1%
12 4
< 0.1%
13 3
< 0.1%
ValueCountFrequency (%)
10196 1
< 0.1%
9633 1
< 0.1%
9488 1
< 0.1%
9276 1
< 0.1%
9123 1
< 0.1%
8876 1
< 0.1%
8874 1
< 0.1%
8873 1
< 0.1%
8861 2
< 0.1%
8858 1
< 0.1%

5인세대수
Real number (ℝ)

MISSING 

Distinct1504
Distinct (%)15.2%
Missing112
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean485.50394
Minimum2
Maximum2406
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T08:34:00.264042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2
5-th percentile62
Q1224
median409
Q3658
95-th percentile1205.65
Maximum2406
Range2404
Interquartile range (IQR)434

Descriptive statistics

Standard deviation366.83835
Coefficient of variation (CV)0.75558263
Kurtosis3.0207008
Mean485.50394
Median Absolute Deviation (MAD)213.5
Skewness1.4434139
Sum4800663
Variance134570.37
MonotonicityNot monotonic
2024-03-13T08:34:00.379106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
255 34
 
0.3%
254 30
 
0.3%
63 27
 
0.3%
248 26
 
0.3%
258 25
 
0.2%
247 23
 
0.2%
64 23
 
0.2%
397 23
 
0.2%
253 22
 
0.2%
138 22
 
0.2%
Other values (1494) 9633
96.3%
(Missing) 112
 
1.1%
ValueCountFrequency (%)
2 3
 
< 0.1%
4 2
 
< 0.1%
5 9
0.1%
6 14
0.1%
7 5
 
0.1%
8 2
 
< 0.1%
9 5
 
0.1%
10 1
 
< 0.1%
11 3
 
< 0.1%
12 1
 
< 0.1%
ValueCountFrequency (%)
2406 1
< 0.1%
2403 1
< 0.1%
2398 1
< 0.1%
2393 1
< 0.1%
2385 1
< 0.1%
2378 1
< 0.1%
2373 1
< 0.1%
2367 1
< 0.1%
2365 1
< 0.1%
2352 1
< 0.1%

6인세대수
Real number (ℝ)

MISSING 

Distinct419
Distinct (%)4.2%
Missing112
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean104.23008
Minimum0
Maximum582
Zeros16
Zeros (%)0.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T08:34:00.494011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile20
Q153
median86
Q3134
95-th percentile249.65
Maximum582
Range582
Interquartile range (IQR)81

Descriptive statistics

Standard deviation74.644258
Coefficient of variation (CV)0.71614893
Kurtosis5.4739541
Mean104.23008
Median Absolute Deviation (MAD)39
Skewness1.8052582
Sum1030627
Variance5571.7653
MonotonicityNot monotonic
2024-03-13T08:34:00.600123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
70 102
 
1.0%
57 92
 
0.9%
72 92
 
0.9%
74 89
 
0.9%
48 85
 
0.9%
73 85
 
0.9%
69 85
 
0.9%
76 84
 
0.8%
68 84
 
0.8%
59 84
 
0.8%
Other values (409) 9006
90.1%
(Missing) 112
 
1.1%
ValueCountFrequency (%)
0 16
0.2%
1 14
0.1%
2 5
 
0.1%
4 6
 
0.1%
5 16
0.2%
6 16
0.2%
7 21
0.2%
8 18
0.2%
9 13
0.1%
10 24
0.2%
ValueCountFrequency (%)
582 1
< 0.1%
579 1
< 0.1%
577 1
< 0.1%
575 1
< 0.1%
570 2
< 0.1%
567 1
< 0.1%
565 2
< 0.1%
564 2
< 0.1%
563 1
< 0.1%
562 1
< 0.1%

7인세대수
Real number (ℝ)

MISSING 

Distinct125
Distinct (%)1.3%
Missing112
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean24.634506
Minimum0
Maximum132
Zeros34
Zeros (%)0.3%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T08:34:00.731744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q112
median21
Q332
95-th percentile58
Maximum132
Range132
Interquartile range (IQR)20

Descriptive statistics

Standard deviation17.493992
Coefficient of variation (CV)0.71014177
Kurtosis4.6928683
Mean24.634506
Median Absolute Deviation (MAD)9
Skewness1.7115813
Sum243586
Variance306.03976
MonotonicityNot monotonic
2024-03-13T08:34:00.870225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12 326
 
3.3%
14 312
 
3.1%
17 309
 
3.1%
21 301
 
3.0%
11 301
 
3.0%
15 299
 
3.0%
18 298
 
3.0%
13 298
 
3.0%
20 297
 
3.0%
19 290
 
2.9%
Other values (115) 6857
68.6%
ValueCountFrequency (%)
0 34
 
0.3%
1 63
 
0.6%
2 102
 
1.0%
3 89
 
0.9%
4 175
1.8%
5 210
2.1%
6 166
1.7%
7 202
2.0%
8 264
2.6%
9 283
2.8%
ValueCountFrequency (%)
132 1
 
< 0.1%
131 1
 
< 0.1%
129 1
 
< 0.1%
128 1
 
< 0.1%
127 1
 
< 0.1%
126 1
 
< 0.1%
125 1
 
< 0.1%
124 3
< 0.1%
123 4
< 0.1%
122 1
 
< 0.1%

8인세대수
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

9인세대수
Real number (ℝ)

MISSING  ZEROS 

Distinct37
Distinct (%)0.4%
Missing112
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean6.6168083
Minimum0
Maximum39
Zeros351
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T08:34:00.984990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q13
median6
Q39
95-th percentile16
Maximum39
Range39
Interquartile range (IQR)6

Descriptive statistics

Standard deviation5.0341716
Coefficient of variation (CV)0.76081569
Kurtosis3.4743161
Mean6.6168083
Median Absolute Deviation (MAD)3
Skewness1.5314638
Sum65427
Variance25.342883
MonotonicityNot monotonic
2024-03-13T08:34:01.092937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)
ValueCountFrequency (%)
4 1039
10.4%
3 1000
10.0%
2 950
9.5%
5 892
8.9%
6 858
8.6%
7 791
 
7.9%
1 655
 
6.6%
8 598
 
6.0%
9 545
 
5.5%
10 481
 
4.8%
Other values (27) 2079
20.8%
ValueCountFrequency (%)
0 351
 
3.5%
1 655
6.6%
2 950
9.5%
3 1000
10.0%
4 1039
10.4%
5 892
8.9%
6 858
8.6%
7 791
7.9%
8 598
6.0%
9 545
5.5%
ValueCountFrequency (%)
39 1
 
< 0.1%
36 1
 
< 0.1%
34 2
 
< 0.1%
33 4
 
< 0.1%
32 8
0.1%
31 6
 
0.1%
30 6
 
0.1%
29 11
0.1%
28 10
0.1%
27 16
0.2%

10인이상세대수
Real number (ℝ)

MISSING  ZEROS 

Distinct21
Distinct (%)0.2%
Missing112
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean1.4238471
Minimum0
Maximum32
Zeros3518
Zeros (%)35.2%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T08:34:01.210221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum32
Range32
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.6885749
Coefficient of variation (CV)1.1859243
Kurtosis51.763674
Mean1.4238471
Median Absolute Deviation (MAD)1
Skewness4.09184
Sum14079
Variance2.8512852
MonotonicityNot monotonic
2024-03-13T08:34:01.307999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
0 3518
35.2%
1 2570
25.7%
2 1770
17.7%
3 1036
 
10.4%
4 561
 
5.6%
5 280
 
2.8%
6 88
 
0.9%
7 31
 
0.3%
10 10
 
0.1%
8 6
 
0.1%
Other values (11) 18
 
0.2%
(Missing) 112
 
1.1%
ValueCountFrequency (%)
0 3518
35.2%
1 2570
25.7%
2 1770
17.7%
3 1036
 
10.4%
4 561
 
5.6%
5 280
 
2.8%
6 88
 
0.9%
7 31
 
0.3%
8 6
 
0.1%
9 4
 
< 0.1%
ValueCountFrequency (%)
32 1
 
< 0.1%
31 1
 
< 0.1%
30 2
< 0.1%
28 1
 
< 0.1%
25 1
 
< 0.1%
24 1
 
< 0.1%
15 1
 
< 0.1%
14 1
 
< 0.1%
13 2
< 0.1%
11 3
< 0.1%

4인이상세대수
Real number (ℝ)

MISSING 

Distinct4762
Distinct (%)48.2%
Missing112
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean2540.273
Minimum13
Maximum12625
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T08:34:01.412927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum13
5-th percentile246.35
Q11018
median2150
Q33523.25
95-th percentile6455.25
Maximum12625
Range12612
Interquartile range (IQR)2505.25

Descriptive statistics

Standard deviation1978.8155
Coefficient of variation (CV)0.77897749
Kurtosis2.3078045
Mean2540.273
Median Absolute Deviation (MAD)1215
Skewness1.314376
Sum25118219
Variance3915710.6
MonotonicityNot monotonic
2024-03-13T08:34:01.519982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
192 13
 
0.1%
14 12
 
0.1%
1907 10
 
0.1%
1415 10
 
0.1%
325 9
 
0.1%
340 9
 
0.1%
207 9
 
0.1%
2975 8
 
0.1%
191 8
 
0.1%
184 8
 
0.1%
Other values (4752) 9792
97.9%
(Missing) 112
 
1.1%
ValueCountFrequency (%)
13 5
0.1%
14 12
0.1%
16 1
 
< 0.1%
17 4
 
< 0.1%
18 2
 
< 0.1%
19 4
 
< 0.1%
20 2
 
< 0.1%
21 3
 
< 0.1%
22 2
 
< 0.1%
46 1
 
< 0.1%
ValueCountFrequency (%)
12625 1
< 0.1%
11945 1
< 0.1%
11768 1
< 0.1%
11614 1
< 0.1%
11579 1
< 0.1%
11577 2
< 0.1%
11574 1
< 0.1%
11573 1
< 0.1%
11558 1
< 0.1%
11552 1
< 0.1%

1인세대비율
Real number (ℝ)

MISSING 

Distinct67
Distinct (%)0.7%
Missing112
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0.34356189
Minimum0.08
Maximum0.84
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T08:34:01.626078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.08
5-th percentile0.16
Q10.26
median0.33
Q30.43
95-th percentile0.53
Maximum0.84
Range0.76
Interquartile range (IQR)0.17

Descriptive statistics

Standard deviation0.11553944
Coefficient of variation (CV)0.33629877
Kurtosis-0.10155893
Mean0.34356189
Median Absolute Deviation (MAD)0.09
Skewness0.30563807
Sum3397.14
Variance0.013349363
MonotonicityNot monotonic
2024-03-13T08:34:01.740586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.28 367
 
3.7%
0.27 343
 
3.4%
0.26 338
 
3.4%
0.3 331
 
3.3%
0.33 330
 
3.3%
0.29 326
 
3.3%
0.32 324
 
3.2%
0.31 318
 
3.2%
0.46 310
 
3.1%
0.4 303
 
3.0%
Other values (57) 6598
66.0%
ValueCountFrequency (%)
0.08 6
 
0.1%
0.09 12
 
0.1%
0.1 16
 
0.2%
0.11 1
 
< 0.1%
0.12 31
 
0.3%
0.13 97
1.0%
0.14 105
1.1%
0.15 98
1.0%
0.16 132
1.3%
0.17 193
1.9%
ValueCountFrequency (%)
0.84 5
 
0.1%
0.83 15
0.1%
0.82 1
 
< 0.1%
0.71 6
 
0.1%
0.7 8
0.1%
0.69 9
0.1%
0.68 3
 
< 0.1%
0.67 6
 
0.1%
0.66 8
0.1%
0.65 1
 
< 0.1%

2인세대비율
Real number (ℝ)

MISSING 

Distinct31
Distinct (%)0.3%
Missing112
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0.20547431
Minimum0.06
Maximum0.39
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T08:34:01.845557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.06
5-th percentile0.15
Q10.19
median0.2
Q30.22
95-th percentile0.26
Maximum0.39
Range0.33
Interquartile range (IQR)0.03

Descriptive statistics

Standard deviation0.034210268
Coefficient of variation (CV)0.16649413
Kurtosis1.8788423
Mean0.20547431
Median Absolute Deviation (MAD)0.02
Skewness0.3982388
Sum2031.73
Variance0.0011703424
MonotonicityNot monotonic
2024-03-13T08:34:01.943645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0.21 1430
14.3%
0.2 1387
13.9%
0.22 1236
12.4%
0.19 1208
12.1%
0.18 838
8.4%
0.23 768
7.7%
0.17 676
6.8%
0.24 436
 
4.4%
0.16 299
 
3.0%
0.25 299
 
3.0%
Other values (21) 1311
13.1%
ValueCountFrequency (%)
0.06 1
 
< 0.1%
0.07 14
 
0.1%
0.08 6
 
0.1%
0.11 7
 
0.1%
0.12 63
 
0.6%
0.13 124
 
1.2%
0.14 155
 
1.6%
0.15 218
 
2.2%
0.16 299
3.0%
0.17 676
6.8%
ValueCountFrequency (%)
0.39 2
 
< 0.1%
0.38 5
 
0.1%
0.37 3
 
< 0.1%
0.35 4
 
< 0.1%
0.34 12
 
0.1%
0.33 13
 
0.1%
0.32 21
 
0.2%
0.31 22
 
0.2%
0.3 57
0.6%
0.29 84
0.8%

3인세대비율
Real number (ℝ)

MISSING 

Distinct26
Distinct (%)0.3%
Missing112
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0.17884001
Minimum0.03
Maximum0.29
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T08:34:02.054012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.03
5-th percentile0.11
Q10.15
median0.19
Q30.21
95-th percentile0.23
Maximum0.29
Range0.26
Interquartile range (IQR)0.06

Descriptive statistics

Standard deviation0.04020806
Coefficient of variation (CV)0.22482698
Kurtosis-0.45061213
Mean0.17884001
Median Absolute Deviation (MAD)0.03
Skewness-0.41032049
Sum1768.37
Variance0.0016166881
MonotonicityNot monotonic
2024-03-13T08:34:02.163592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
0.21 1041
10.4%
0.2 951
9.5%
0.19 928
9.3%
0.22 814
 
8.1%
0.18 805
 
8.1%
0.23 739
 
7.4%
0.17 639
 
6.4%
0.14 628
 
6.3%
0.16 594
 
5.9%
0.12 589
 
5.9%
Other values (16) 2160
21.6%
ValueCountFrequency (%)
0.03 11
 
0.1%
0.04 18
 
0.2%
0.05 3
 
< 0.1%
0.06 8
 
0.1%
0.07 17
 
0.2%
0.08 30
 
0.3%
0.09 58
 
0.6%
0.1 128
 
1.3%
0.11 315
3.1%
0.12 589
5.9%
ValueCountFrequency (%)
0.29 1
 
< 0.1%
0.28 5
 
0.1%
0.26 35
 
0.4%
0.25 127
 
1.3%
0.24 304
 
3.0%
0.23 739
7.4%
0.22 814
8.1%
0.21 1041
10.4%
0.2 951
9.5%
0.19 928
9.3%

4인이상세대비율
Real number (ℝ)

MISSING 

Distinct51
Distinct (%)0.5%
Missing112
Missing (%)1.1%
Infinite0
Infinite (%)0.0%
Mean0.25210255
Minimum0.04
Maximum0.56
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-03-13T08:34:02.508876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.04
5-th percentile0.12
Q10.18
median0.25
Q30.32
95-th percentile0.41
Maximum0.56
Range0.52
Interquartile range (IQR)0.14

Descriptive statistics

Standard deviation0.093240976
Coefficient of variation (CV)0.36985337
Kurtosis-0.49628001
Mean0.25210255
Median Absolute Deviation (MAD)0.07
Skewness0.32920063
Sum2492.79
Variance0.0086938796
MonotonicityNot monotonic
2024-03-13T08:34:02.621964image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.29 431
 
4.3%
0.15 418
 
4.2%
0.27 406
 
4.1%
0.18 405
 
4.0%
0.28 387
 
3.9%
0.19 379
 
3.8%
0.17 367
 
3.7%
0.2 365
 
3.6%
0.25 364
 
3.6%
0.3 360
 
3.6%
Other values (41) 6006
60.1%
ValueCountFrequency (%)
0.04 26
 
0.3%
0.07 16
 
0.2%
0.08 23
 
0.2%
0.09 70
 
0.7%
0.1 142
 
1.4%
0.11 192
1.9%
0.12 229
2.3%
0.13 266
2.7%
0.14 354
3.5%
0.15 418
4.2%
ValueCountFrequency (%)
0.56 1
 
< 0.1%
0.55 6
 
0.1%
0.54 5
 
0.1%
0.53 15
0.1%
0.52 16
0.2%
0.51 8
 
0.1%
0.5 11
0.1%
0.49 16
0.2%
0.48 9
 
0.1%
0.47 26
0.3%

마트완료여부
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing10000
Missing (%)100.0%
Memory size166.0 KiB

생성일자
Categorical

Distinct2
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
20181120
6460 
20180323
3540 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row20181120
2nd row20181120
3rd row20181120
4th row20180323
5th row20181120

Common Values

ValueCountFrequency (%)
20181120 6460
64.6%
20180323 3540
35.4%

Length

2024-03-13T08:34:02.740522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T08:34:02.815878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
20181120 6460
64.6%
20180323 3540
35.4%

Sample

기준연월시군코드행정동코드시군명행정동명총세대수1인세대수2인세대수3인세대수4인세대수5인세대수6인세대수7인세대수8인세대수9인세대수10인이상세대수4인이상세대수1인세대비율2인세대비율3인세대비율4인이상세대비율마트완료여부생성일자
11377201801412841281621고양시화정1동16038525431693041346987216843<NA>11645740.320.190.180.28<NA>20181120
16219201803412241220535평택시송탄동595119181108112213473627213<NA>7218030.320.180.180.3<NA>20181120
11734201710412841287590고양시송산동174073934324639854621123929466<NA>17362420.220.180.220.35<NA>20181120
3926201607412841281621고양시화정1동15986501130253067369293118856<NA>8548830.310.180.190.3<NA>20180323
15920201807415041500253이천시부발읍14363459428132618316592019346<NA>10143380.310.190.180.3<NA>20181120
16868201803413741370570오산시대원동250928011452446955987147330474<NA>18278620.310.180.180.31<NA>20181120
3015201605415941590585화성시동탄1동185774648250938926124117917239<NA>11275280.250.130.20.4<NA>20180323
3645201607414841480570파주시운정3동201784423411045815340139224961<NA>14570640.210.20.220.35<NA>20180323
15912201807414841480510파주시금촌1동1167259842444158412133268822<NA>10016600.510.20.130.14<NA>20181120
9587201704412941290560과천시문원동3032989545559650214619<NA>129390.320.170.180.3<NA>20181120
기준연월시군코드행정동코드시군명행정동명총세대수1인세대수2인세대수3인세대수4인세대수5인세대수6인세대수7인세대수8인세대수9인세대수10인이상세대수4인이상세대수1인세대비율2인세대비율3인세대비율4인이상세대비율마트완료여부생성일자
4518201609412141210520광명시광명2동4873179711409017502304211<NA>2010350.360.230.180.21<NA>20180323
2908201605414641461330용인시 처인구이동면8065286216791438142847712639<NA>9520860.350.20.170.25<NA>20180323
16982201806415741570540김포시사우동976633472132189118884076724<NA>7023960.340.210.190.24<NA>20181120
16380201807418241820345가평군조종면404918029445624851864412<NA>3107410.440.230.130.18<NA>20181120
14811201807412541250550동두천시보산동178298537124113231166<NA>001850.550.20.130.1<NA>20181120
17582201805412741273525안산시고잔동877732821757159516304216915<NA>4221430.370.20.180.24<NA>20181120
16199201803412141210610광명시철산3동11829199920582817391484014828<NA>17449550.160.170.230.41<NA>20181120
15655201807414141410550군포시산본2동10024190519172564284562712532<NA>8036380.190.190.250.36<NA>20181120
6349201612413941390592시흥시정왕2동12313301720492695351084415332<NA>5245520.240.160.210.36<NA>20180323
3977201608413641360570남양주시별내동236645669511655065660140224158<NA>7273730.230.210.230.31<NA>20180323