Overview

Dataset statistics

Number of variables10
Number of observations166
Missing cells166
Missing cells (%)10.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.7 KiB
Average record size in memory84.8 B

Variable types

Categorical2
Text4
Numeric3
Unsupported1

Dataset

Description보건소‧보건지소 현황
Author경기복지재단(경기도장애인복지종합지원센터)
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=VFC8YZB6W3FVAIL3P73Z24912594&infSeq=1

Alerts

시군명 is highly overall correlated with 소재지우편번호 and 3 other fieldsHigh correlation
홈페이지URL is highly overall correlated with 소재지우편번호 and 3 other fieldsHigh correlation
소재지우편번호 is highly overall correlated with WGS84위도 and 2 other fieldsHigh correlation
WGS84위도 is highly overall correlated with 소재지우편번호 and 2 other fieldsHigh correlation
WGS84경도 is highly overall correlated with 시군명 and 1 other fieldsHigh correlation
비고 has 166 (100.0%) missing valuesMissing
WGS84위도 has unique valuesUnique
WGS84경도 has unique valuesUnique
비고 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-13 00:00:51.199686
Analysis finished2024-03-13 00:00:52.348800
Duration1.15 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)18.7%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
화성시
16 
포천시
14 
양평군
11 
평택시
11 
용인시
 
10
Other values (26)
104 

Length

Max length4
Median length3
Mean length3.0542169
Min length3

Unique

Unique6 ?
Unique (%)3.6%

Sample

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

Common Values

ValueCountFrequency (%)
화성시 16
 
9.6%
포천시 14
 
8.4%
양평군 11
 
6.6%
평택시 11
 
6.6%
용인시 10
 
6.0%
여주시 10
 
6.0%
안성시 10
 
6.0%
파주시 8
 
4.8%
김포시 7
 
4.2%
남양주시 7
 
4.2%
Other values (21) 62
37.3%

Length

2024-03-13T09:00:52.400513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화성시 16
 
9.6%
포천시 14
 
8.4%
양평군 11
 
6.6%
평택시 11
 
6.6%
용인시 10
 
6.0%
여주시 10
 
6.0%
안성시 10
 
6.0%
파주시 8
 
4.8%
김포시 7
 
4.2%
남양주시 7
 
4.2%
Other values (21) 62
37.3%

기관명
Text

Distinct163
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-03-13T09:00:52.605480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length6
Mean length6.5361446
Min length5

Characters and Unicode

Total characters1085
Distinct characters131
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

Unique160 ?
Unique (%)96.4%

Sample

1st row가평군보건소
2nd row북면보건지소
3rd row상면보건지소
4th row설악면보건지소
5th row조종면보건지소
ValueCountFrequency (%)
수원시 4
 
2.2%
용인시 3
 
1.6%
고양시 3
 
1.6%
성남시 3
 
1.6%
안양시 2
 
1.1%
보건소 2
 
1.1%
이동보건지소 2
 
1.1%
원곡보건지소 2
 
1.1%
남양보건지소 2
 
1.1%
점동보건지소 1
 
0.5%
Other values (159) 159
86.9%
2024-03-13T09:00:52.968061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 168
15.5%
건 167
15.4%
보 166
15.3%
지 121
 
11.2%
시 36
 
3.3%
양 19
 
1.8%
17
 
1.6%
구 16
 
1.5%
남 16
 
1.5%
산 13
 
1.2%
Other values (121) 346
31.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1066
98.2%
Space Separator 17
 
1.6%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 168
15.8%
건 167
15.7%
보 166
15.6%
지 121
 
11.4%
시 36
 
3.4%
양 19
 
1.8%
구 16
 
1.5%
남 16
 
1.5%
산 13
 
1.2%
수 12
 
1.1%
Other values (118) 332
31.1%
Space Separator
ValueCountFrequency (%)
17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1066
98.2%
Common 19
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 168
15.8%
건 167
15.7%
보 166
15.6%
지 121
 
11.4%
시 36
 
3.4%
양 19
 
1.8%
구 16
 
1.5%
남 16
 
1.5%
산 13
 
1.2%
수 12
 
1.1%
Other values (118) 332
31.1%
Common
ValueCountFrequency (%)
17
89.5%
( 1
 
5.3%
) 1
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1066
98.2%
ASCII 19
 
1.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 168
15.8%
건 167
15.7%
보 166
15.6%
지 121
 
11.4%
시 36
 
3.4%
양 19
 
1.8%
구 16
 
1.5%
남 16
 
1.5%
산 13
 
1.2%
수 12
 
1.1%
Other values (118) 332
31.1%
ASCII
ValueCountFrequency (%)
17
89.5%
( 1
 
5.3%
) 1
 
5.3%

소재지지번주소
Text

Distinct165
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-03-13T09:00:53.196594image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length25
Mean length21.849398
Min length16

Characters and Unicode

Total characters3627
Distinct characters181
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

Unique164 ?
Unique (%)98.8%

Sample

1st row경기도 가평군 가평읍 읍내리 624-1번지
2nd row경기도 가평군 북면 목동리 883-13번지
3rd row경기도 가평군 상면 연하리 171-1번지
4th row경기도 가평군 설악면 신천리 156-1번지
5th row경기도 가평군 조종면 현리 567-7번지
ValueCountFrequency (%)
경기도 166
 
20.6%
화성시 16
 
2.0%
포천시 14
 
1.7%
양평군 11
 
1.4%
평택시 11
 
1.4%
용인시 10
 
1.2%
여주시 10
 
1.2%
안성시 10
 
1.2%
처인구 8
 
1.0%
파주시 8
 
1.0%
Other values (478) 541
67.2%
2024-03-13T09:00:53.510268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
639
 
17.6%
지 179
 
4.9%
도 170
 
4.7%
기 170
 
4.7%
경 167
 
4.6%
번 166
 
4.6%
시 144
 
4.0%
1 134
 
3.7%
리 111
 
3.1%
- 109
 
3.0%
Other values (171) 1638
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2258
62.3%
Space Separator 639
 
17.6%
Decimal Number 621
 
17.1%
Dash Punctuation 109
 
3.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 179
 
7.9%
도 170
 
7.5%
기 170
 
7.5%
경 167
 
7.4%
번 166
 
7.4%
시 144
 
6.4%
리 111
 
4.9%
면 84
 
3.7%
동 71
 
3.1%
양 47
 
2.1%
Other values (159) 949
42.0%
Decimal Number
ValueCountFrequency (%)
1 134
21.6%
3 72
11.6%
2 65
10.5%
6 62
10.0%
5 55
8.9%
4 53
 
8.5%
8 52
 
8.4%
9 45
 
7.2%
7 43
 
6.9%
0 40
 
6.4%
Space Separator
ValueCountFrequency (%)
639
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 109
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2258
62.3%
Common 1369
37.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 179
 
7.9%
도 170
 
7.5%
기 170
 
7.5%
경 167
 
7.4%
번 166
 
7.4%
시 144
 
6.4%
리 111
 
4.9%
면 84
 
3.7%
동 71
 
3.1%
양 47
 
2.1%
Other values (159) 949
42.0%
Common
ValueCountFrequency (%)
639
46.7%
1 134
 
9.8%
- 109
 
8.0%
3 72
 
5.3%
2 65
 
4.7%
6 62
 
4.5%
5 55
 
4.0%
4 53
 
3.9%
8 52
 
3.8%
9 45
 
3.3%
Other values (2) 83
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2258
62.3%
ASCII 1369
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
639
46.7%
1 134
 
9.8%
- 109
 
8.0%
3 72
 
5.3%
2 65
 
4.7%
6 62
 
4.5%
5 55
 
4.0%
4 53
 
3.9%
8 52
 
3.8%
9 45
 
3.3%
Other values (2) 83
 
6.1%
Hangul
ValueCountFrequency (%)
지 179
 
7.9%
도 170
 
7.5%
기 170
 
7.5%
경 167
 
7.4%
번 166
 
7.4%
시 144
 
6.4%
리 111
 
4.9%
면 84
 
3.7%
동 71
 
3.1%
양 47
 
2.1%
Other values (159) 949
42.0%

소재지도로명주소
Text

Distinct165
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-03-13T09:00:53.751304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length24
Mean length19.656627
Min length14

Characters and Unicode

Total characters3263
Distinct characters203
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique164 ?
Unique (%)98.8%

Sample

1st row경기도 가평군 가평읍 가화로 155-18
2nd row경기도 가평군 북면 화악산로 23
3rd row경기도 가평군 상면 청군로 1099
4th row경기도 가평군 설악면 한서로 6
5th row경기도 가평군 조종면 조종내길 75
ValueCountFrequency (%)
경기도 166
 
20.6%
화성시 16
 
2.0%
포천시 14
 
1.7%
평택시 11
 
1.4%
양평군 11
 
1.4%
여주시 10
 
1.2%
안성시 10
 
1.2%
용인시 10
 
1.2%
처인구 8
 
1.0%
파주시 8
 
1.0%
Other values (438) 541
67.2%
2024-03-13T09:00:54.109934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
639
19.6%
기 172
 
5.3%
도 171
 
5.2%
경 170
 
5.2%
시 148
 
4.5%
로 142
 
4.4%
1 121
 
3.7%
면 84
 
2.6%
2 76
 
2.3%
3 68
 
2.1%
Other values (193) 1472
45.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2069
63.4%
Space Separator 639
 
19.6%
Decimal Number 528
 
16.2%
Dash Punctuation 26
 
0.8%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 172
 
8.3%
도 171
 
8.3%
경 170
 
8.2%
시 148
 
7.2%
로 142
 
6.9%
면 84
 
4.1%
길 54
 
2.6%
양 46
 
2.2%
천 42
 
2.0%
성 39
 
1.9%
Other values (180) 1001
48.4%
Decimal Number
ValueCountFrequency (%)
1 121
22.9%
2 76
14.4%
3 68
12.9%
4 47
 
8.9%
5 43
 
8.1%
6 39
 
7.4%
0 38
 
7.2%
7 37
 
7.0%
9 33
 
6.2%
8 26
 
4.9%
Space Separator
ValueCountFrequency (%)
639
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2069
63.4%
Common 1194
36.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 172
 
8.3%
도 171
 
8.3%
경 170
 
8.2%
시 148
 
7.2%
로 142
 
6.9%
면 84
 
4.1%
길 54
 
2.6%
양 46
 
2.2%
천 42
 
2.0%
성 39
 
1.9%
Other values (180) 1001
48.4%
Common
ValueCountFrequency (%)
639
53.5%
1 121
 
10.1%
2 76
 
6.4%
3 68
 
5.7%
4 47
 
3.9%
5 43
 
3.6%
6 39
 
3.3%
0 38
 
3.2%
7 37
 
3.1%
9 33
 
2.8%
Other values (3) 53
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2069
63.4%
ASCII 1194
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
639
53.5%
1 121
 
10.1%
2 76
 
6.4%
3 68
 
5.7%
4 47
 
3.9%
5 43
 
3.6%
6 39
 
3.3%
0 38
 
3.2%
7 37
 
3.1%
9 33
 
2.8%
Other values (3) 53
 
4.4%
Hangul
ValueCountFrequency (%)
기 172
 
8.3%
도 171
 
8.3%
경 170
 
8.2%
시 148
 
7.2%
로 142
 
6.9%
면 84
 
4.1%
길 54
 
2.6%
양 46
 
2.2%
천 42
 
2.0%
성 39
 
1.9%
Other values (180) 1001
48.4%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct165
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14195.729
Minimum10011
Maximum18633
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-03-13T09:00:54.222731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10011
5-th percentile10357.5
Q111444
median12777
Q317350.5
95-th percentile18513.5
Maximum18633
Range8622
Interquartile range (IQR)5906.5

Descriptive statistics

Standard deviation2907.2116
Coefficient of variation (CV)0.20479481
Kurtosis-1.5637825
Mean14195.729
Median Absolute Deviation (MAD)1964
Skewness0.20442139
Sum2356491
Variance8451879.1
MonotonicityNot monotonic
2024-03-13T09:00:54.325528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
18258 2
 
1.2%
12413 1
 
0.6%
17324 1
 
0.6%
16076 1
 
0.6%
16007 1
 
0.6%
11649 1
 
0.6%
17413 1
 
0.6%
17343 1
 
0.6%
17408 1
 
0.6%
17312 1
 
0.6%
Other values (155) 155
93.4%
ValueCountFrequency (%)
10011 1
0.6%
10019 1
0.6%
10024 1
0.6%
10040 1
0.6%
10057 1
0.6%
10111 1
0.6%
10125 1
0.6%
10210 1
0.6%
10340 1
0.6%
10410 1
0.6%
ValueCountFrequency (%)
18633 1
0.6%
18596 1
0.6%
18583 1
0.6%
18563 1
0.6%
18555 1
0.6%
18550 1
0.6%
18537 1
0.6%
18527 1
0.6%
18519 1
0.6%
18497 1
0.6%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct166
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.46166
Minimum36.942885
Maximum38.184013
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-03-13T09:00:54.426388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.942885
5-th percentile37.002
Q137.208751
median37.406271
Q337.709971
95-th percentile38.024706
Maximum38.184013
Range1.2411278
Interquartile range (IQR)0.50121964

Descriptive statistics

Standard deviation0.31474339
Coefficient of variation (CV)0.008401747
Kurtosis-0.85687483
Mean37.46166
Median Absolute Deviation (MAD)0.24332991
Skewness0.36125789
Sum6218.6356
Variance0.099063403
MonotonicityNot monotonic
2024-03-13T09:00:54.532161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.83337357 1
 
0.6%
37.27781544 1
 
0.6%
37.39135785 1
 
0.6%
37.7359883 1
 
0.6%
37.10642891 1
 
0.6%
37.22987808 1
 
0.6%
37.17166374 1
 
0.6%
37.33920867 1
 
0.6%
37.28329476 1
 
0.6%
37.28879907 1
 
0.6%
Other values (156) 156
94.0%
ValueCountFrequency (%)
36.94288517 1
0.6%
36.9577684 1
0.6%
36.967339 1
0.6%
36.97687993 1
0.6%
36.97810929 1
0.6%
36.98291257 1
0.6%
36.99071525 1
0.6%
36.9971827 1
0.6%
37.00010628 1
0.6%
37.00768135 1
0.6%
ValueCountFrequency (%)
38.18401293 1
0.6%
38.15779912 1
0.6%
38.13493669 1
0.6%
38.08929531 1
0.6%
38.08521134 1
0.6%
38.05833806 1
0.6%
38.03327723 1
0.6%
38.0318175 1
0.6%
38.03108832 1
0.6%
38.00556088 1
0.6%

WGS84경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct166
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.12414
Minimum126.55284
Maximum127.75134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-03-13T09:00:54.639369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.55284
5-th percentile126.72091
Q1126.91034
median127.11084
Q3127.31706
95-th percentile127.59422
Maximum127.75134
Range1.1984995
Interquartile range (IQR)0.40672175

Descriptive statistics

Standard deviation0.28138944
Coefficient of variation (CV)0.0022135011
Kurtosis-0.73685834
Mean127.12414
Median Absolute Deviation (MAD)0.2058757
Skewness0.18027923
Sum21102.608
Variance0.079180015
MonotonicityNot monotonic
2024-03-13T09:00:54.752078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.5105814 1
 
0.6%
127.2308221 1
 
0.6%
126.9950422 1
 
0.6%
127.0395136 1
 
0.6%
127.5470108 1
 
0.6%
127.4923908 1
 
0.6%
127.4819883 1
 
0.6%
127.4901783 1
 
0.6%
127.4866546 1
 
0.6%
127.4523402 1
 
0.6%
Other values (156) 156
94.0%
ValueCountFrequency (%)
126.5528448 1
0.6%
126.5820127 1
0.6%
126.5852598 1
0.6%
126.5973397 1
0.6%
126.6254516 1
0.6%
126.6313023 1
0.6%
126.7089838 1
0.6%
126.7160957 1
0.6%
126.720309237 1
0.6%
126.7227198 1
0.6%
ValueCountFrequency (%)
127.7513443 1
0.6%
127.7114334 1
0.6%
127.7107606 1
0.6%
127.6780475 1
0.6%
127.6733498 1
0.6%
127.6623834 1
0.6%
127.6396083 1
0.6%
127.6384939 1
0.6%
127.5965667 1
0.6%
127.5871711 1
0.6%

전화번호
Text

Distinct164
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2024-03-13T09:00:54.941981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.192771
Min length12

Characters and Unicode

Total characters2024
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

Unique162 ?
Unique (%)97.6%

Sample

1st row031-582-2488
2nd row031-582-0558
3rd row031-585-2046
4th row031-584-7078
5th row031-585-0671
ValueCountFrequency (%)
031-324-5682 2
 
1.2%
031-538-4244 2
 
1.2%
031-940-8340 1
 
0.6%
031-644-7191 1
 
0.6%
031-324-5522 1
 
0.6%
031-644-7176 1
 
0.6%
031-582-2488 1
 
0.6%
031-345-3541 1
 
0.6%
031-345-3671 1
 
0.6%
031-870-6010 1
 
0.6%
Other values (154) 154
92.8%
2024-03-13T09:00:55.268352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 332
16.4%
3 287
14.2%
0 282
13.9%
1 238
11.8%
8 180
8.9%
5 153
7.6%
4 149
7.4%
7 119
 
5.9%
6 109
 
5.4%
2 106
 
5.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1692
83.6%
Dash Punctuation 332
 
16.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 287
17.0%
0 282
16.7%
1 238
14.1%
8 180
10.6%
5 153
9.0%
4 149
8.8%
7 119
7.0%
6 109
 
6.4%
2 106
 
6.3%
9 69
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 332
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2024
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 332
16.4%
3 287
14.2%
0 282
13.9%
1 238
11.8%
8 180
8.9%
5 153
7.6%
4 149
7.4%
7 119
 
5.9%
6 109
 
5.4%
2 106
 
5.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2024
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 332
16.4%
3 287
14.2%
0 282
13.9%
1 238
11.8%
8 180
8.9%
5 153
7.6%
4 149
7.4%
7 119
 
5.9%
6 109
 
5.4%
2 106
 
5.2%

홈페이지URL
Categorical

HIGH CORRELATION 

Distinct36
Distinct (%)21.7%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
http://www.hscity.go.kr/health/index.do
16 
http://www.pocheon.go.kr/pbhlth/contents.do?key=7085
13 
http://www.yphealth.net/
11 
https://www.pyeongtaek.go.kr/health/contents.do?mId=0103020000
11 
https://www.yongin.go.kr/health/index.do
 
10
Other values (31)
105 

Length

Max length62
Median length49
Mean length40.644578
Min length21

Unique

Unique11 ?
Unique (%)6.6%

Sample

1st rowhttp://www.gp.go.kr/health/index.do
2nd rowhttp://www.gp.go.kr/health/index.do
3rd rowhttp://www.gp.go.kr/health/index.do
4th rowhttp://www.gp.go.kr/health/index.do
5th rowhttp://www.gp.go.kr/health/index.do

Common Values

ValueCountFrequency (%)
http://www.hscity.go.kr/health/index.do 16
 
9.6%
http://www.pocheon.go.kr/pbhlth/contents.do?key=7085 13
 
7.8%
http://www.yphealth.net/ 11
 
6.6%
https://www.pyeongtaek.go.kr/health/contents.do?mId=0103020000 11
 
6.6%
https://www.yongin.go.kr/health/index.do 10
 
6.0%
https://www.anseong.go.kr/health/main.do 10
 
6.0%
http://www.yeoju.go.kr/main/health/ 9
 
5.4%
https://clinic.paju.go.kr/clinic/index.do 8
 
4.8%
http://www.gimpo.go.kr/health/main.do 7
 
4.2%
http://health.icheon.go.kr/site/health/main.do 7
 
4.2%
Other values (26) 64
38.6%

Length

2024-03-13T09:00:55.382208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
http://www.hscity.go.kr/health/index.do 16
 
9.6%
http://www.pocheon.go.kr/pbhlth/contents.do?key=7085 13
 
7.8%
http://www.yphealth.net 11
 
6.6%
https://www.pyeongtaek.go.kr/health/contents.do?mid=0103020000 11
 
6.6%
https://www.yongin.go.kr/health/index.do 10
 
6.0%
https://www.anseong.go.kr/health/main.do 10
 
6.0%
http://www.yeoju.go.kr/main/health 10
 
6.0%
https://clinic.paju.go.kr/clinic/index.do 8
 
4.8%
http://www.gimpo.go.kr/health/main.do 7
 
4.2%
https://www.yeoncheon.go.kr/index.yeoncheon?contentssid=884 7
 
4.2%
Other values (25) 63
38.0%

비고
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing166
Missing (%)100.0%
Memory size1.6 KiB

Interactions

2024-03-13T09:00:51.968211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:00:51.571768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:00:51.763867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:00:52.028580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:00:51.629877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:00:51.829355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:00:52.096042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:00:51.696741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:00:51.896800image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-13T09:00:55.656915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명소재지우편번호WGS84위도WGS84경도홈페이지URL
시군명1.0000.9920.9060.8821.000
소재지우편번호0.9921.0000.8750.7970.992
WGS84위도0.9060.8751.0000.4000.905
WGS84경도0.8820.7970.4001.0000.882
홈페이지URL1.0000.9920.9050.8821.000
2024-03-13T09:00:55.730293image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명홈페이지URL
시군명1.0000.981
홈페이지URL0.9811.000
2024-03-13T09:00:55.797996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도시군명홈페이지URL
소재지우편번호1.000-0.9060.0440.8700.852
WGS84위도-0.9061.000-0.0430.5680.553
WGS84경도0.044-0.0431.0000.5190.508
시군명0.8700.5680.5191.0000.981
홈페이지URL0.8520.5530.5080.9811.000

Missing values

2024-03-13T09:00:52.187139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T09:00:52.305155image/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

시군명기관명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도전화번호홈페이지URL비고
0가평군가평군보건소경기도 가평군 가평읍 읍내리 624-1번지경기도 가평군 가평읍 가화로 155-181241337.833374127.510581031-582-2488http://www.gp.go.kr/health/index.do<NA>
1가평군북면보건지소경기도 가평군 북면 목동리 883-13번지경기도 가평군 북면 화악산로 231240337.887383127.550266031-582-0558http://www.gp.go.kr/health/index.do<NA>
2가평군상면보건지소경기도 가평군 상면 연하리 171-1번지경기도 가평군 상면 청군로 10991244437.805007127.357672031-585-2046http://www.gp.go.kr/health/index.do<NA>
3가평군설악면보건지소경기도 가평군 설악면 신천리 156-1번지경기도 가평군 설악면 한서로 61246737.675893127.494555031-584-7078http://www.gp.go.kr/health/index.do<NA>
4가평군조종면보건지소경기도 가평군 조종면 현리 567-7번지경기도 가평군 조종면 조종내길 751243837.817926127.353251031-585-0671http://www.gp.go.kr/health/index.do<NA>
5가평군청평면보건지소경기도 가평군 청평면 청평리 331-1번지경기도 가평군 청평면 은고개로 151245237.740242127.424085031-584-1007http://www.gp.go.kr/health/index.do<NA>
6고양시가좌보건지소경기도 고양시 일산서구 가좌동 388-24번지경기도 고양시 일산서구 가좌3로 161021037.686172126.720309031-8075-4782http://www.goyang.go.kr/health/index.do<NA>
7고양시고양시 덕양구보건소경기도 고양시 덕양구 주교동 603번지경기도 고양시 덕양구 원당로33번길 281046037.65771126.831011031-8075-4006http://www.goyang.go.kr/health/index.do<NA>
8고양시고양시 일산동구보건소경기도 고양시 일산동구 마두동 1010번지경기도 고양시 일산동구 중앙로 12281041037.656329126.775847031-8075-4086http://www.goyang.go.kr/health/index.do<NA>
9고양시고양시 일산서구보건소경기도 고양시 일산서구 일산동 1680-6번지경기도 고양시 일산서구 일중로 541034037.684267126.775796031-8075-4160http://www.goyang.go.kr/health/index.do<NA>
시군명기관명소재지지번주소소재지도로명주소소재지우편번호WGS84위도WGS84경도전화번호홈페이지URL비고
156화성시비봉보건지소경기도 화성시 비봉면 양노리 253-3번지경기도 화성시 비봉면 비봉로71번길 11828437.235498126.873419031-369-2874http://www.hscity.go.kr/health/index.do<NA>
157화성시서신보건지소경기도 화성시 서신면 매화리 277번지경기도 화성시 서신면 궁평항로 17021855537.165807126.708984031-369-2584http://www.hscity.go.kr/health/index.do<NA>
158화성시송산보건지소경기도 화성시 송산면 사강리 711-2번지경기도 화성시 송산면 사강시장길 261855037.213212126.732461031-369-2887http://www.hscity.go.kr/health/index.do<NA>
159화성시양감보건지소경기도 화성시 양감면 신왕리 1994번지경기도 화성시 양감면 초록로 71863337.081688126.945721031-369-2587http://www.hscity.go.kr/health/index.do<NA>
160화성시여울보건지소경기도 화성시 송동 717-5번지경기도 화성시 동탄순환대로 131849737.165003127.095057031-369-6938http://www.hscity.go.kr/health/index.do<NA>
161화성시우정보건지소경기도 화성시 우정읍 조암리 411-1번지경기도 화성시 우정읍 쌍봉로 109-141856337.089814126.815385031-369-2891http://www.hscity.go.kr/health/index.do<NA>
162화성시장안보건지소경기도 화성시 장안면 독정리 933-1번지경기도 화성시 장안면 포승장안로 12191858337.067513126.84733031-369-2586http://www.hscity.go.kr/health/index.do<NA>
163화성시정남보건지소경기도 화성시 정남면 신리 260-1번지경기도 화성시 정남면 서봉로 9981851937.160272126.971119031-5189-4470http://www.hscity.go.kr/health/index.do<NA>
164화성시팔탄보건지소경기도 화성시 팔탄면 구장리 565-1번지경기도 화성시 팔탄면 구장길 201852737.162697126.904583031-369-2889http://www.hscity.go.kr/health/index.do<NA>
165화성시화성시보건소(서부)경기도 화성시 향남읍 발안리 309번지경기도 화성시 향남읍 3.1만세로 10551859637.129172126.904662031-369-2551http://www.hscity.go.kr/health/index.do<NA>