Overview

Dataset statistics

Number of variables9
Number of observations36
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.8 KiB
Average record size in memory78.7 B

Variable types

Text4
Numeric3
Categorical2

Dataset

Description국민건강보험공단(지사) 현황
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=FP2JAJCK569IFNIGRZI524893778&infSeq=1

Alerts

전화번호 has constant value ""Constant
홈페이지URL has constant value ""Constant
소재지우편번호 is highly overall correlated with WGS84위도High correlation
WGS84위도 is highly overall correlated with 소재지우편번호High correlation
기관명 has unique valuesUnique
소재지지번주소 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
소재지우편번호 has unique valuesUnique
WGS84위도 has unique valuesUnique
WGS84경도 has unique valuesUnique

Reproduction

Analysis started2024-03-12 23:29:34.128327
Analysis finished2024-03-12 23:29:35.123181
Duration0.99 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Text

Distinct31
Distinct (%)86.1%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-03-13T08:29:35.233027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0833333
Min length3

Characters and Unicode

Total characters111
Distinct characters38
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)72.2%

Sample

1st row가평군
2nd row고양시
3rd row고양시
4th row과천시
5th row광명시
ValueCountFrequency (%)
용인시 2
 
5.6%
성남시 2
 
5.6%
부천시 2
 
5.6%
고양시 2
 
5.6%
수원시 2
 
5.6%
의정부시 1
 
2.8%
포천시 1
 
2.8%
평택시 1
 
2.8%
파주시 1
 
2.8%
이천시 1
 
2.8%
Other values (21) 21
58.3%
2024-03-13T08:29:35.480788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 34
30.6%
천 7
 
6.3%
양 6
 
5.4%
주 5
 
4.5%
성 4
 
3.6%
남 4
 
3.6%
군 4
 
3.6%
안 3
 
2.7%
부 3
 
2.7%
포 3
 
2.7%
Other values (28) 38
34.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 111
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 34
30.6%
천 7
 
6.3%
양 6
 
5.4%
주 5
 
4.5%
성 4
 
3.6%
남 4
 
3.6%
군 4
 
3.6%
안 3
 
2.7%
부 3
 
2.7%
포 3
 
2.7%
Other values (28) 38
34.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 111
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 34
30.6%
천 7
 
6.3%
양 6
 
5.4%
주 5
 
4.5%
성 4
 
3.6%
남 4
 
3.6%
군 4
 
3.6%
안 3
 
2.7%
부 3
 
2.7%
포 3
 
2.7%
Other values (28) 38
34.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 111
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 34
30.6%
천 7
 
6.3%
양 6
 
5.4%
주 5
 
4.5%
성 4
 
3.6%
남 4
 
3.6%
군 4
 
3.6%
안 3
 
2.7%
부 3
 
2.7%
포 3
 
2.7%
Other values (28) 38
34.2%

기관명
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-03-13T08:29:35.663077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length4
Mean length5.3611111
Min length4

Characters and Unicode

Total characters193
Distinct characters51
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

Unique36 ?
Unique (%)100.0%

Sample

1st row가평출장소(남양주가평지사)
2nd row고양덕양지사
3rd row고양일산지사
4th row과천지사
5th row광명지사
ValueCountFrequency (%)
가평출장소(남양주가평지사 1
 
2.8%
고양덕양지사 1
 
2.8%
용인동부지사 1
 
2.8%
안양지사 1
 
2.8%
양주지사 1
 
2.8%
양평지사 1
 
2.8%
여주지사 1
 
2.8%
연천출장소(동두천연천지사 1
 
2.8%
오산지사 1
 
2.8%
용인서부지사 1
 
2.8%
Other values (26) 26
72.2%
2024-03-13T08:29:35.937324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 36
18.7%
사 36
18.7%
부 11
 
5.7%
천 10
 
5.2%
양 8
 
4.1%
남 7
 
3.6%
주 6
 
3.1%
평 5
 
2.6%
성 4
 
2.1%
동 4
 
2.1%
Other values (41) 66
34.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 189
97.9%
Open Punctuation 2
 
1.0%
Close Punctuation 2
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 36
19.0%
사 36
19.0%
부 11
 
5.8%
천 10
 
5.3%
양 8
 
4.2%
남 7
 
3.7%
주 6
 
3.2%
평 5
 
2.6%
성 4
 
2.1%
동 4
 
2.1%
Other values (39) 62
32.8%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 189
97.9%
Common 4
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 36
19.0%
사 36
19.0%
부 11
 
5.8%
천 10
 
5.3%
양 8
 
4.2%
남 7
 
3.7%
주 6
 
3.2%
평 5
 
2.6%
성 4
 
2.1%
동 4
 
2.1%
Other values (39) 62
32.8%
Common
ValueCountFrequency (%)
( 2
50.0%
) 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 189
97.9%
ASCII 4
 
2.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 36
19.0%
사 36
19.0%
부 11
 
5.8%
천 10
 
5.3%
양 8
 
4.2%
남 7
 
3.7%
주 6
 
3.2%
평 5
 
2.6%
성 4
 
2.1%
동 4
 
2.1%
Other values (39) 62
32.8%
ASCII
ValueCountFrequency (%)
( 2
50.0%
) 2
50.0%

소재지지번주소
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-03-13T08:29:36.168615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21.5
Mean length20.194444
Min length16

Characters and Unicode

Total characters727
Distinct characters102
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st row경기도 가평군 청평면 청평리 432-11번지
2nd row경기도 고양시 덕양구 화정동 973번지
3rd row경기도 고양시 일산동구 마두동 1010번지
4th row경기도 과천시 별양동 1-16번지
5th row경기도 광명시 철산동 250번지
ValueCountFrequency (%)
경기도 36
 
22.8%
성남시 2
 
1.3%
수원시 2
 
1.3%
용인시 2
 
1.3%
고양시 2
 
1.3%
부천시 2
 
1.3%
266-19번지 1
 
0.6%
전곡리 1
 
0.6%
전곡읍 1
 
0.6%
연천군 1
 
0.6%
Other values (108) 108
68.4%
2024-03-13T08:29:36.490291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
122
16.8%
기 38
 
5.2%
경 37
 
5.1%
도 36
 
5.0%
지 36
 
5.0%
번 36
 
5.0%
동 35
 
4.8%
시 34
 
4.7%
1 26
 
3.6%
- 23
 
3.2%
Other values (92) 304
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 440
60.5%
Decimal Number 142
 
19.5%
Space Separator 122
 
16.8%
Dash Punctuation 23
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 38
 
8.6%
경 37
 
8.4%
도 36
 
8.2%
지 36
 
8.2%
번 36
 
8.2%
동 35
 
8.0%
시 34
 
7.7%
구 11
 
2.5%
양 10
 
2.3%
천 7
 
1.6%
Other values (80) 160
36.4%
Decimal Number
ValueCountFrequency (%)
1 26
18.3%
2 21
14.8%
5 17
12.0%
3 16
11.3%
6 16
11.3%
4 13
9.2%
0 11
7.7%
7 10
 
7.0%
8 6
 
4.2%
9 6
 
4.2%
Space Separator
ValueCountFrequency (%)
122
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 440
60.5%
Common 287
39.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 38
 
8.6%
경 37
 
8.4%
도 36
 
8.2%
지 36
 
8.2%
번 36
 
8.2%
동 35
 
8.0%
시 34
 
7.7%
구 11
 
2.5%
양 10
 
2.3%
천 7
 
1.6%
Other values (80) 160
36.4%
Common
ValueCountFrequency (%)
122
42.5%
1 26
 
9.1%
- 23
 
8.0%
2 21
 
7.3%
5 17
 
5.9%
3 16
 
5.6%
6 16
 
5.6%
4 13
 
4.5%
0 11
 
3.8%
7 10
 
3.5%
Other values (2) 12
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 440
60.5%
ASCII 287
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
122
42.5%
1 26
 
9.1%
- 23
 
8.0%
2 21
 
7.3%
5 17
 
5.9%
3 16
 
5.6%
6 16
 
5.6%
4 13
 
4.5%
0 11
 
3.8%
7 10
 
3.5%
Other values (2) 12
 
4.2%
Hangul
ValueCountFrequency (%)
기 38
 
8.6%
경 37
 
8.4%
도 36
 
8.2%
지 36
 
8.2%
번 36
 
8.2%
동 35
 
8.0%
시 34
 
7.7%
구 11
 
2.5%
양 10
 
2.3%
천 7
 
1.6%
Other values (80) 160
36.4%

소재지도로명주소
Text

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size420.0 B
2024-03-13T08:29:36.717488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length17.361111
Min length13

Characters and Unicode

Total characters625
Distinct characters110
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique36 ?
Unique (%)100.0%

Sample

1st row경기도 가평군 청평면 청평중앙로 48
2nd row경기도 고양시 덕양구 화신로260번길 57
3rd row경기도 고양시 일산동구 중앙로 1228
4th row경기도 과천시 별양상가1로 13
5th row경기도 광명시 철산로 5
ValueCountFrequency (%)
경기도 36
 
22.8%
고양시 2
 
1.3%
부천시 2
 
1.3%
성남시 2
 
1.3%
중앙로 2
 
1.3%
수원시 2
 
1.3%
용인시 2
 
1.3%
금령로 1
 
0.6%
오산시 1
 
0.6%
81 1
 
0.6%
Other values (107) 107
67.7%
2024-03-13T08:29:37.031373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
122
19.5%
경 38
 
6.1%
기 37
 
5.9%
도 36
 
5.8%
시 35
 
5.6%
로 35
 
5.6%
6 18
 
2.9%
1 17
 
2.7%
2 13
 
2.1%
8 11
 
1.8%
Other values (100) 263
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 400
64.0%
Space Separator 122
 
19.5%
Decimal Number 101
 
16.2%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 38
 
9.5%
기 37
 
9.2%
도 36
 
9.0%
시 35
 
8.8%
로 35
 
8.8%
구 11
 
2.8%
양 10
 
2.5%
평 8
 
2.0%
천 7
 
1.8%
대 6
 
1.5%
Other values (88) 177
44.2%
Decimal Number
ValueCountFrequency (%)
6 18
17.8%
1 17
16.8%
2 13
12.9%
8 11
10.9%
3 10
9.9%
5 9
8.9%
7 8
7.9%
0 6
 
5.9%
4 6
 
5.9%
9 3
 
3.0%
Space Separator
ValueCountFrequency (%)
122
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 400
64.0%
Common 225
36.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 38
 
9.5%
기 37
 
9.2%
도 36
 
9.0%
시 35
 
8.8%
로 35
 
8.8%
구 11
 
2.8%
양 10
 
2.5%
평 8
 
2.0%
천 7
 
1.8%
대 6
 
1.5%
Other values (88) 177
44.2%
Common
ValueCountFrequency (%)
122
54.2%
6 18
 
8.0%
1 17
 
7.6%
2 13
 
5.8%
8 11
 
4.9%
3 10
 
4.4%
5 9
 
4.0%
7 8
 
3.6%
0 6
 
2.7%
4 6
 
2.7%
Other values (2) 5
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 400
64.0%
ASCII 225
36.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
122
54.2%
6 18
 
8.0%
1 17
 
7.6%
2 13
 
5.8%
8 11
 
4.9%
3 10
 
4.4%
5 9
 
4.0%
7 8
 
3.6%
0 6
 
2.7%
4 6
 
2.7%
Other values (2) 5
 
2.2%
Hangul
ValueCountFrequency (%)
경 38
 
9.5%
기 37
 
9.2%
도 36
 
9.0%
시 35
 
8.8%
로 35
 
8.8%
구 11
 
2.8%
양 10
 
2.5%
평 8
 
2.0%
천 7
 
1.8%
대 6
 
1.5%
Other values (88) 177
44.2%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13982.167
Minimum10090
Maximum18413
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-13T08:29:37.139577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10090
5-th percentile10477.5
Q111864.25
median13714
Q316175.25
95-th percentile18033.25
Maximum18413
Range8323
Interquartile range (IQR)4311

Descriptive statistics

Standard deviation2511.369
Coefficient of variation (CV)0.17961229
Kurtosis-1.1937372
Mean13982.167
Median Absolute Deviation (MAD)2181.5
Skewness0.2303587
Sum503358
Variance6306974.3
MonotonicityNot monotonic
2024-03-13T08:29:37.232123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
12452 1
 
2.8%
17580 1
 
2.8%
11492 1
 
2.8%
12559 1
 
2.8%
12624 1
 
2.8%
11038 1
 
2.8%
18109 1
 
2.8%
17049 1
 
2.8%
16898 1
 
2.8%
16071 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
10090 1
2.8%
10410 1
2.8%
10500 1
2.8%
10916 1
2.8%
11038 1
2.8%
11178 1
2.8%
11334 1
2.8%
11492 1
2.8%
11754 1
2.8%
11901 1
2.8%
ValueCountFrequency (%)
18413 1
2.8%
18109 1
2.8%
18008 1
2.8%
17580 1
2.8%
17359 1
2.8%
17049 1
2.8%
16898 1
2.8%
16626 1
2.8%
16488 1
2.8%
16071 1
2.8%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.473294
Minimum37.009497
Maximum38.020039
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-13T08:29:37.331035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.009497
5-th percentile37.146759
Q137.314477
median37.434724
Q337.635042
95-th percentile37.84351
Maximum38.020039
Range1.0105415
Interquartile range (IQR)0.32056445

Descriptive statistics

Standard deviation0.23434084
Coefficient of variation (CV)0.0062535426
Kurtosis-0.25502944
Mean37.473294
Median Absolute Deviation (MAD)0.15640169
Skewness0.30510878
Sum1349.0386
Variance0.05491563
MonotonicityNot monotonic
2024-03-13T08:29:37.430997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
37.73754514 1
 
2.8%
37.00949703 1
 
2.8%
37.79562154 1
 
2.8%
37.49266229 1
 
2.8%
37.29716601 1
 
2.8%
38.02003855 1
 
2.8%
37.17699721 1
 
2.8%
37.2345517 1
 
2.8%
37.32024799 1
 
2.8%
37.36067244 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
37.00949703 1
2.8%
37.05604529 1
2.8%
37.17699721 1
2.8%
37.20496784 1
2.8%
37.2345517 1
2.8%
37.26321196 1
2.8%
37.28327105 1
2.8%
37.2955356 1
2.8%
37.29716601 1
2.8%
37.32024799 1
2.8%
ValueCountFrequency (%)
38.02003855 1
2.8%
37.8998561 1
2.8%
37.82472744 1
2.8%
37.79562154 1
2.8%
37.75508281 1
2.8%
37.74954337 1
2.8%
37.73754514 1
2.8%
37.65632859 1
2.8%
37.639684 1
2.8%
37.63349459 1
2.8%

WGS84경도
Real number (ℝ)

UNIQUE 

Distinct36
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.06109
Minimum126.68458
Maximum127.62775
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size456.0 B
2024-03-13T08:29:37.531067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.68458
5-th percentile126.76476
Q1126.92594
median127.05069
Q3127.15614
95-th percentile127.46857
Maximum127.62775
Range0.9431661
Interquartile range (IQR)0.23019552

Descriptive statistics

Standard deviation0.21876242
Coefficient of variation (CV)0.0017217106
Kurtosis0.343989
Mean127.06109
Median Absolute Deviation (MAD)0.11458695
Skewness0.58516387
Sum4574.1992
Variance0.047856999
MonotonicityNot monotonic
2024-03-13T08:29:37.625410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
127.419815 1
 
2.8%
127.2651572 1
 
2.8%
127.0788723 1
 
2.8%
127.4996473 1
 
2.8%
127.6277452 1
 
2.8%
127.0718946 1
 
2.8%
127.0449174 1
 
2.8%
127.2002702 1
 
2.8%
127.1151201 1
 
2.8%
126.9624263 1
 
2.8%
Other values (26) 26
72.2%
ValueCountFrequency (%)
126.6845791 1
2.8%
126.7545756 1
2.8%
126.7681595 1
2.8%
126.7758474 1
2.8%
126.7984918 1
2.8%
126.8074104 1
2.8%
126.8326751 1
2.8%
126.8477651 1
2.8%
126.8667674 1
2.8%
126.9456697 1
2.8%
ValueCountFrequency (%)
127.6277452 1
2.8%
127.4996473 1
2.8%
127.4582061 1
2.8%
127.419815 1
2.8%
127.2651572 1
2.8%
127.2601414 1
2.8%
127.2059765 1
2.8%
127.2002702 1
2.8%
127.1748436 1
2.8%
127.149905 1
2.8%

전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
1577-1000
36 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1577-1000
2nd row1577-1000
3rd row1577-1000
4th row1577-1000
5th row1577-1000

Common Values

ValueCountFrequency (%)
1577-1000 36
100.0%

Length

2024-03-13T08:29:37.714597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T08:29:37.786253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1577-1000 36
100.0%

홈페이지URL
Categorical

CONSTANT 

Distinct1
Distinct (%)2.8%
Missing0
Missing (%)0.0%
Memory size420.0 B
http://www.nhis.or.kr/retrieveHomeMain.xx
36 

Length

Max length41
Median length41
Mean length41
Min length41

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowhttp://www.nhis.or.kr/retrieveHomeMain.xx
2nd rowhttp://www.nhis.or.kr/retrieveHomeMain.xx
3rd rowhttp://www.nhis.or.kr/retrieveHomeMain.xx
4th rowhttp://www.nhis.or.kr/retrieveHomeMain.xx
5th rowhttp://www.nhis.or.kr/retrieveHomeMain.xx

Common Values

ValueCountFrequency (%)
http://www.nhis.or.kr/retrieveHomeMain.xx 36
100.0%

Length

2024-03-13T08:29:37.863860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T08:29:38.217096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
http://www.nhis.or.kr/retrievehomemain.xx 36
100.0%

Interactions

2024-03-13T08:29:34.771846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:29:34.405168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:29:34.575917image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:29:34.844914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:29:34.459959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:29:34.633046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:29:34.909160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:29:34.519094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T08:29:34.693851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T08:29:38.267398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명기관명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도
시군명1.0001.0001.0001.0000.9980.9850.951
기관명1.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.000
소재지우편번호0.9981.0001.0001.0001.0000.7980.704
WGS84위도0.9851.0001.0001.0000.7981.0000.656
WGS84경도0.9511.0001.0001.0000.7040.6561.000
2024-03-13T08:29:38.360100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도
소재지우편번호1.000-0.9120.082
WGS84위도-0.9121.000-0.120
WGS84경도0.082-0.1201.000

Missing values

2024-03-13T08:29:34.987887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T08:29:35.084896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

시군명기관명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도전화번호홈페이지URL
0가평군가평출장소(남양주가평지사)경기도 가평군 청평면 청평리 432-11번지경기도 가평군 청평면 청평중앙로 481245237.737545127.4198151577-1000http://www.nhis.or.kr/retrieveHomeMain.xx
1고양시고양덕양지사경기도 고양시 덕양구 화정동 973번지경기도 고양시 덕양구 화신로260번길 571050037.633495126.8326751577-1000http://www.nhis.or.kr/retrieveHomeMain.xx
2고양시고양일산지사경기도 고양시 일산동구 마두동 1010번지경기도 고양시 일산동구 중앙로 12281041037.656329126.7758471577-1000http://www.nhis.or.kr/retrieveHomeMain.xx
3과천시과천지사경기도 과천시 별양동 1-16번지경기도 과천시 별양상가1로 131383737.427083126.9915051577-1000http://www.nhis.or.kr/retrieveHomeMain.xx
4광명시광명지사경기도 광명시 철산동 250번지경기도 광명시 철산로 51423537.476074126.8667671577-1000http://www.nhis.or.kr/retrieveHomeMain.xx
5광주시경기광주지사경기도 광주시 경안동 20-14번지경기도 광주시 광주대로 351275837.409667127.2601411577-1000http://www.nhis.or.kr/retrieveHomeMain.xx
6구리시구리지사경기도 구리시 갈매동 583번지경기도 구리시 갈매중앙로 861190137.631912127.1181631577-1000http://www.nhis.or.kr/retrieveHomeMain.xx
7군포시군포지사경기도 군포시 당동 776-20번지경기도 군포시 군포로 5221585537.352475126.945671577-1000http://www.nhis.or.kr/retrieveHomeMain.xx
8김포시김포지사경기도 김포시 장기동 2011-6번지경기도 김포시 태장로795번길 1371009037.639684126.6845791577-1000http://www.nhis.or.kr/retrieveHomeMain.xx
9남양주시남양주가평지사경기도 남양주시 다산동 261-3번지경기도 남양주시 다산지금로163번길 871228437.596074127.1748441577-1000http://www.nhis.or.kr/retrieveHomeMain.xx
시군명기관명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도전화번호홈페이지URL
26용인시용인동부지사경기도 용인시 처인구 김량장동 334-2번지경기도 용인시 처인구 금령로 361704937.234552127.200271577-1000http://www.nhis.or.kr/retrieveHomeMain.xx
27용인시용인서부지사경기도 용인시 기흥구 보정동 1265-4번지경기도 용인시 기흥구 죽전로 581689837.320248127.115121577-1000http://www.nhis.or.kr/retrieveHomeMain.xx
28의왕시의왕지사경기도 의왕시 오전동 35번지경기도 의왕시 경수대로 4131607137.360672126.9624261577-1000http://www.nhis.or.kr/retrieveHomeMain.xx
29의정부시의정부지사경기도 의정부시 금오동 487-1번지경기도 의정부시 금오로 641175437.755083127.0723061577-1000http://www.nhis.or.kr/retrieveHomeMain.xx
30이천시이천지사경기도 이천시 갈산동 655번지경기도 이천시 증신로 651735937.283271127.4582061577-1000http://www.nhis.or.kr/retrieveHomeMain.xx
31파주시파주지사경기도 파주시 금촌동 1025-1번지경기도 파주시 쇠재로 101091637.749543126.7681591577-1000http://www.nhis.or.kr/retrieveHomeMain.xx
32평택시평택지사경기도 평택시 고덕동 1884-2번지경기도 평택시 고덕갈평5길 271800837.056045127.0484581577-1000http://www.nhis.or.kr/retrieveHomeMain.xx
33포천시포천지사경기도 포천시 소흘읍 송우리 505-17번지경기도 포천시 소흘읍 솔모루로 151117837.824727127.1420541577-1000http://www.nhis.or.kr/retrieveHomeMain.xx
34하남시하남지사경기도 하남시 덕풍동 733번지경기도 하남시 덕풍서로 841292737.554181127.2059771577-1000http://www.nhis.or.kr/retrieveHomeMain.xx
35화성시화성지사경기도 화성시 병점동 406-1번지경기도 화성시 병점2로 61841337.204968127.0377571577-1000http://www.nhis.or.kr/retrieveHomeMain.xx