Overview

Dataset statistics

Number of variables9
Number of observations87
Missing cells14
Missing cells (%)1.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.5 KiB
Average record size in memory76.5 B

Variable types

Categorical3
Text3
Numeric3

Dataset

Description병원평가정보(질병-의료급여정신과) 현황
Author건강보험심사평가원
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=8B0R2BOQHM19FXFF3B8U21413851&infSeq=1

Alerts

평가내역 has constant value ""Constant
소재지우편번호 is highly overall correlated with WGS84위도 and 1 other fieldsHigh correlation
WGS84위도 is highly overall correlated with 소재지우편번호 and 1 other fieldsHigh correlation
WGS84경도 is highly overall correlated with 시군명High correlation
시군명 is highly overall correlated with 소재지우편번호 and 2 other fieldsHigh correlation
소재지도로명주소 has 4 (4.6%) missing valuesMissing
소재지우편번호 has 2 (2.3%) missing valuesMissing
WGS84위도 has 4 (4.6%) missing valuesMissing
WGS84경도 has 4 (4.6%) missing valuesMissing

Reproduction

Analysis started2023-12-10 23:14:17.816552
Analysis finished2023-12-10 23:14:19.714304
Duration1.9 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)29.9%
Missing0
Missing (%)0.0%
Memory size828.0 B
고양시
13 
수원시
8 
안산시
8 
부천시
7 
의정부시
5 
Other values (21)
46 

Length

Max length4
Median length3
Mean length3.1264368
Min length3

Unique

Unique9 ?
Unique (%)10.3%

Sample

1st row안산시
2nd row부천시
3rd row광명시
4th row의정부시
5th row고양시

Common Values

ValueCountFrequency (%)
고양시 13
14.9%
수원시 8
 
9.2%
안산시 8
 
9.2%
부천시 7
 
8.0%
의정부시 5
 
5.7%
성남시 5
 
5.7%
남양주시 5
 
5.7%
김포시 4
 
4.6%
화성시 3
 
3.4%
평택시 3
 
3.4%
Other values (16) 26
29.9%

Length

2023-12-11T08:14:19.778720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고양시 13
14.9%
안산시 8
 
9.2%
수원시 8
 
9.2%
부천시 7
 
8.0%
의정부시 5
 
5.7%
성남시 5
 
5.7%
남양주시 5
 
5.7%
김포시 4
 
4.6%
화성시 3
 
3.4%
평택시 3
 
3.4%
Other values (16) 26
29.9%

기관명
Text

Distinct86
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size828.0 B
2023-12-11T08:14:19.996542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length16
Mean length8.6206897
Min length3

Characters and Unicode

Total characters750
Distinct characters154
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

Unique85 ?
Unique (%)97.7%

Sample

1st row고려대학교의과대학부속안산병원
2nd row더블유진병원
3rd row서울희망정신건강의학과의원
4th row연세하늘병원
5th row인제대학교일산백병원
ValueCountFrequency (%)
의료법인 6
 
5.9%
연세서울병원 2
 
2.0%
서울시립 1
 
1.0%
서수원병원 1
 
1.0%
사랑나무의료재단 1
 
1.0%
마음편한정신건강의학과의원 1
 
1.0%
닥터최의연세마음상담의원 1
 
1.0%
김포예사랑병원 1
 
1.0%
고양정신병원 1
 
1.0%
휴엔병원 1
 
1.0%
Other values (86) 86
84.3%
2023-12-11T08:14:20.356703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 93
 
12.4%
병 68
 
9.1%
의 58
 
7.7%
정 23
 
3.1%
료 22
 
2.9%
신 21
 
2.8%
학 17
 
2.3%
과 15
 
2.0%
15
 
2.0%
인 14
 
1.9%
Other values (144) 404
53.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 733
97.7%
Space Separator 15
 
2.0%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 93
 
12.7%
병 68
 
9.3%
의 58
 
7.9%
정 23
 
3.1%
료 22
 
3.0%
신 21
 
2.9%
학 17
 
2.3%
과 15
 
2.0%
인 14
 
1.9%
강 13
 
1.8%
Other values (141) 389
53.1%
Space Separator
ValueCountFrequency (%)
15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 733
97.7%
Common 17
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 93
 
12.7%
병 68
 
9.3%
의 58
 
7.9%
정 23
 
3.1%
료 22
 
3.0%
신 21
 
2.9%
학 17
 
2.3%
과 15
 
2.0%
인 14
 
1.9%
강 13
 
1.8%
Other values (141) 389
53.1%
Common
ValueCountFrequency (%)
15
88.2%
) 1
 
5.9%
( 1
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 733
97.7%
ASCII 17
 
2.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 93
 
12.7%
병 68
 
9.3%
의 58
 
7.9%
정 23
 
3.1%
료 22
 
3.0%
신 21
 
2.9%
학 17
 
2.3%
과 15
 
2.0%
인 14
 
1.9%
강 13
 
1.8%
Other values (141) 389
53.1%
ASCII
ValueCountFrequency (%)
15
88.2%
) 1
 
5.9%
( 1
 
5.9%

평가내역
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size828.0 B
의료급여 정신과
87 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row의료급여 정신과
2nd row의료급여 정신과
3rd row의료급여 정신과
4th row의료급여 정신과
5th row의료급여 정신과

Common Values

ValueCountFrequency (%)
의료급여 정신과 87
100.0%

Length

2023-12-11T08:14:20.486893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:14:20.570913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의료급여 87
50.0%
정신과 87
50.0%

평가등급
Categorical

Distinct6
Distinct (%)6.9%
Missing0
Missing (%)0.0%
Memory size828.0 B
3등급
26 
2등급
22 
4등급
15 
1등급
10 
5등급
9 

Length

Max length4
Median length3
Mean length3.0574713
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1등급
2nd row1등급
3rd row1등급
4th row1등급
5th row1등급

Common Values

ValueCountFrequency (%)
3등급 26
29.9%
2등급 22
25.3%
4등급 15
17.2%
1등급 10
 
11.5%
5등급 9
 
10.3%
등급제외 5
 
5.7%

Length

2023-12-11T08:14:20.664570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:14:20.792016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3등급 26
29.9%
2등급 22
25.3%
4등급 15
17.2%
1등급 10
 
11.5%
5등급 9
 
10.3%
등급제외 5
 
5.7%

소재지도로명주소
Text

MISSING 

Distinct80
Distinct (%)96.4%
Missing4
Missing (%)4.6%
Memory size828.0 B
2023-12-11T08:14:21.073548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length24
Mean length19.457831
Min length14

Characters and Unicode

Total characters1615
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

Unique77 ?
Unique (%)92.8%

Sample

1st row경기도 안산시 단원구 적금로 123
2nd row경기도 부천시 신흥로 244
3rd row경기도 광명시 오리로 637
4th row경기도 의정부시 평화로 704
5th row경기도 고양시 일산서구 주화로 170
ValueCountFrequency (%)
경기도 83
 
21.4%
고양시 13
 
3.4%
수원시 8
 
2.1%
안산시 8
 
2.1%
부천시 6
 
1.5%
일산서구 5
 
1.3%
성남시 5
 
1.3%
남양주시 5
 
1.3%
의정부시 5
 
1.3%
덕양구 5
 
1.3%
Other values (190) 245
63.1%
2023-12-11T08:14:21.555552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
305
18.9%
경 90
 
5.6%
도 85
 
5.3%
기 85
 
5.3%
시 82
 
5.1%
로 78
 
4.8%
1 62
 
3.8%
2 42
 
2.6%
구 41
 
2.5%
4 32
 
2.0%
Other values (121) 713
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1005
62.2%
Space Separator 305
 
18.9%
Decimal Number 291
 
18.0%
Dash Punctuation 14
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 90
 
9.0%
도 85
 
8.5%
기 85
 
8.5%
시 82
 
8.2%
로 78
 
7.8%
구 41
 
4.1%
양 28
 
2.8%
산 23
 
2.3%
수 22
 
2.2%
길 22
 
2.2%
Other values (109) 449
44.7%
Decimal Number
ValueCountFrequency (%)
1 62
21.3%
2 42
14.4%
4 32
11.0%
7 29
10.0%
9 25
8.6%
6 23
 
7.9%
3 21
 
7.2%
0 19
 
6.5%
5 19
 
6.5%
8 19
 
6.5%
Space Separator
ValueCountFrequency (%)
305
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1005
62.2%
Common 610
37.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 90
 
9.0%
도 85
 
8.5%
기 85
 
8.5%
시 82
 
8.2%
로 78
 
7.8%
구 41
 
4.1%
양 28
 
2.8%
산 23
 
2.3%
수 22
 
2.2%
길 22
 
2.2%
Other values (109) 449
44.7%
Common
ValueCountFrequency (%)
305
50.0%
1 62
 
10.2%
2 42
 
6.9%
4 32
 
5.2%
7 29
 
4.8%
9 25
 
4.1%
6 23
 
3.8%
3 21
 
3.4%
0 19
 
3.1%
5 19
 
3.1%
Other values (2) 33
 
5.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1005
62.2%
ASCII 610
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
305
50.0%
1 62
 
10.2%
2 42
 
6.9%
4 32
 
5.2%
7 29
 
4.8%
9 25
 
4.1%
6 23
 
3.8%
3 21
 
3.4%
0 19
 
3.1%
5 19
 
3.1%
Other values (2) 33
 
5.4%
Hangul
ValueCountFrequency (%)
경 90
 
9.0%
도 85
 
8.5%
기 85
 
8.5%
시 82
 
8.2%
로 78
 
7.8%
구 41
 
4.1%
양 28
 
2.8%
산 23
 
2.3%
수 22
 
2.2%
길 22
 
2.2%
Other values (109) 449
44.7%

소재지지번주소
Text

Distinct85
Distinct (%)97.7%
Missing0
Missing (%)0.0%
Memory size828.0 B
2023-12-11T08:14:21.845794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length100
Median length46
Mean length30.264368
Min length16

Characters and Unicode

Total characters2633
Distinct characters191
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique83 ?
Unique (%)95.4%

Sample

1st row경기도 안산시 단원구 고잔동 516번지
2nd row경기도 부천시 중동 1061-4번지 지하1층,1~5층
3rd row경기도 광명시 하안동 322-1번지 청목빌딩
4th row경기도 의정부시 가능동 79-3번지 대원빌딩
5th row경기도 고양시 일산서구 대화동 2240번지
ValueCountFrequency (%)
경기도 87
 
16.9%
고양시 13
 
2.5%
안산시 8
 
1.6%
수원시 8
 
1.6%
부천시 7
 
1.4%
일산서구 5
 
1.0%
성남시 5
 
1.0%
의정부시 5
 
1.0%
덕양구 5
 
1.0%
남양주시 5
 
1.0%
Other values (296) 366
71.2%
2023-12-11T08:14:22.242085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
427
 
16.2%
1 111
 
4.2%
기 90
 
3.4%
지 90
 
3.4%
도 89
 
3.4%
경 88
 
3.3%
시 86
 
3.3%
번 86
 
3.3%
동 81
 
3.1%
2 72
 
2.7%
Other values (181) 1413
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1478
56.1%
Decimal Number 578
 
22.0%
Space Separator 427
 
16.2%
Dash Punctuation 61
 
2.3%
Other Punctuation 60
 
2.3%
Math Symbol 16
 
0.6%
Uppercase Letter 6
 
0.2%
Open Punctuation 4
 
0.2%
Close Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 90
 
6.1%
지 90
 
6.1%
도 89
 
6.0%
경 88
 
6.0%
시 86
 
5.8%
번 86
 
5.8%
동 81
 
5.5%
층 52
 
3.5%
구 41
 
2.8%
양 33
 
2.2%
Other values (160) 742
50.2%
Decimal Number
ValueCountFrequency (%)
1 111
19.2%
2 72
12.5%
0 67
11.6%
5 64
11.1%
4 64
11.1%
3 56
9.7%
7 46
8.0%
6 41
 
7.1%
9 29
 
5.0%
8 28
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
B 2
33.3%
M 1
16.7%
C 1
16.7%
L 1
16.7%
V 1
16.7%
Space Separator
ValueCountFrequency (%)
427
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 61
100.0%
Other Punctuation
ValueCountFrequency (%)
, 60
100.0%
Math Symbol
ValueCountFrequency (%)
~ 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1478
56.1%
Common 1149
43.6%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 90
 
6.1%
지 90
 
6.1%
도 89
 
6.0%
경 88
 
6.0%
시 86
 
5.8%
번 86
 
5.8%
동 81
 
5.5%
층 52
 
3.5%
구 41
 
2.8%
양 33
 
2.2%
Other values (160) 742
50.2%
Common
ValueCountFrequency (%)
427
37.2%
1 111
 
9.7%
2 72
 
6.3%
0 67
 
5.8%
5 64
 
5.6%
4 64
 
5.6%
- 61
 
5.3%
, 60
 
5.2%
3 56
 
4.9%
7 46
 
4.0%
Other values (6) 121
 
10.5%
Latin
ValueCountFrequency (%)
B 2
33.3%
M 1
16.7%
C 1
16.7%
L 1
16.7%
V 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1478
56.1%
ASCII 1155
43.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
427
37.0%
1 111
 
9.6%
2 72
 
6.2%
0 67
 
5.8%
5 64
 
5.5%
4 64
 
5.5%
- 61
 
5.3%
, 60
 
5.2%
3 56
 
4.8%
7 46
 
4.0%
Other values (11) 127
 
11.0%
Hangul
ValueCountFrequency (%)
기 90
 
6.1%
지 90
 
6.1%
도 89
 
6.0%
경 88
 
6.0%
시 86
 
5.8%
번 86
 
5.8%
동 81
 
5.5%
층 52
 
3.5%
구 41
 
2.8%
양 33
 
2.2%
Other values (160) 742
50.2%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct79
Distinct (%)92.9%
Missing2
Missing (%)2.3%
Infinite0
Infinite (%)0.0%
Mean13835.012
Minimum10023
Maximum18626
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-11T08:14:22.375633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10023
5-th percentile10270.8
Q111444
median14072
Q316334
95-th percentile18063.8
Maximum18626
Range8603
Interquartile range (IQR)4890

Descriptive statistics

Standard deviation2684.7375
Coefficient of variation (CV)0.19405387
Kurtosis-1.3377209
Mean13835.012
Median Absolute Deviation (MAD)2391
Skewness0.11719474
Sum1175976
Variance7207815.7
MonotonicityNot monotonic
2023-12-11T08:14:22.699234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
12223 2
 
2.3%
10343 2
 
2.3%
16565 2
 
2.3%
15495 2
 
2.3%
12025 2
 
2.3%
12663 2
 
2.3%
13344 1
 
1.1%
16463 1
 
1.1%
14546 1
 
1.1%
16954 1
 
1.1%
Other values (69) 69
79.3%
(Missing) 2
 
2.3%
ValueCountFrequency (%)
10023 1
1.1%
10099 1
1.1%
10104 1
1.1%
10108 1
1.1%
10264 1
1.1%
10298 1
1.1%
10340 1
1.1%
10343 2
2.3%
10380 1
1.1%
10381 1
1.1%
ValueCountFrequency (%)
18626 1
1.1%
18423 1
1.1%
18390 1
1.1%
18117 1
1.1%
18106 1
1.1%
17895 1
1.1%
17817 1
1.1%
17719 1
1.1%
17532 1
1.1%
17392 1
1.1%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct80
Distinct (%)96.4%
Missing4
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean37.459089
Minimum36.995135
Maximum37.900051
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-11T08:14:22.817065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.995135
5-th percentile37.092982
Q137.277086
median37.441793
Q337.654037
95-th percentile37.754538
Maximum37.900051
Range0.90491678
Interquartile range (IQR)0.37695078

Descriptive statistics

Standard deviation0.22333014
Coefficient of variation (CV)0.0059619747
Kurtosis-1.0889332
Mean37.459089
Median Absolute Deviation (MAD)0.19661665
Skewness-0.094862442
Sum3109.1044
Variance0.049876351
MonotonicityNot monotonic
2023-12-11T08:14:22.946753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.178461361 2
 
2.3%
37.6915642662 2
 
2.3%
37.7387454902 2
 
2.3%
37.6852992365 1
 
1.1%
37.6224620194 1
 
1.1%
37.7114989081 1
 
1.1%
37.4403028215 1
 
1.1%
37.2734709033 1
 
1.1%
37.5033709106 1
 
1.1%
37.2748286723 1
 
1.1%
Other values (70) 70
80.5%
(Missing) 4
 
4.6%
ValueCountFrequency (%)
36.995134579 1
1.1%
37.0034226893 1
1.1%
37.0563788445 1
1.1%
37.0883924049 1
1.1%
37.0897441362 1
1.1%
37.1221270912 1
1.1%
37.1649545092 1
1.1%
37.178461361 2
2.3%
37.1858974538 1
1.1%
37.2087499974 1
1.1%
ValueCountFrequency (%)
37.9000513558 1
1.1%
37.8181081904 1
1.1%
37.789003963 1
1.1%
37.7715317017 1
1.1%
37.7546998778 1
1.1%
37.7530805063 1
1.1%
37.7497190283 1
1.1%
37.7410761753 1
1.1%
37.7387454902 2
2.3%
37.7371385954 1
1.1%

WGS84경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct80
Distinct (%)96.4%
Missing4
Missing (%)4.6%
Infinite0
Infinite (%)0.0%
Mean126.99629
Minimum126.56868
Maximum127.56614
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size915.0 B
2023-12-11T08:14:23.072725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.56868
5-th percentile126.71543
Q1126.82695
median126.99086
Q3127.12667
95-th percentile127.41275
Maximum127.56614
Range0.99746211
Interquartile range (IQR)0.29972223

Descriptive statistics

Standard deviation0.21762927
Coefficient of variation (CV)0.0017136663
Kurtosis-0.0038886604
Mean126.99629
Median Absolute Deviation (MAD)0.15213188
Skewness0.65899606
Sum10540.692
Variance0.047362498
MonotonicityNot monotonic
2023-12-11T08:14:23.199420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.5661389553 2
 
2.3%
126.7627636188 2
 
2.3%
127.3094836821 2
 
2.3%
126.7771837715 1
 
1.1%
126.6994788321 1
 
1.1%
126.8545656383 1
 
1.1%
127.1436264603 1
 
1.1%
127.0156372396 1
 
1.1%
126.7606583714 1
 
1.1%
127.073335014 1
 
1.1%
Other values (70) 70
80.5%
(Missing) 4
 
4.6%
ValueCountFrequency (%)
126.5686768408 1
1.1%
126.6994788321 1
1.1%
126.7092233886 1
1.1%
126.7097694598 1
1.1%
126.7119521932 1
1.1%
126.7467464298 1
1.1%
126.7503817665 1
1.1%
126.7576896718 1
1.1%
126.7606583714 1
1.1%
126.7627636188 2
2.3%
ValueCountFrequency (%)
127.5661389553 2
2.3%
127.4735576585 1
1.1%
127.421670646 1
1.1%
127.4154804841 1
1.1%
127.3881478567 1
1.1%
127.3648146702 1
1.1%
127.356314645 1
1.1%
127.3094836821 2
2.3%
127.3058111705 1
1.1%
127.2356433043 1
1.1%

Interactions

2023-12-11T08:14:19.097771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:14:18.591550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:14:18.834478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:14:19.196591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:14:18.660647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:14:18.903228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:14:19.291163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:14:18.742842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:14:18.978548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:14:23.281835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명기관명평가등급소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
시군명1.0000.9970.4571.0001.0000.9920.9640.946
기관명0.9971.0000.9340.9960.9960.9690.9821.000
평가등급0.4570.9341.0000.5980.9160.0000.1310.108
소재지도로명주소1.0000.9960.5981.0001.0001.0001.0001.000
소재지지번주소1.0000.9960.9161.0001.0001.0001.0001.000
소재지우편번호0.9920.9690.0001.0001.0001.0000.9490.798
WGS84위도0.9640.9820.1311.0001.0000.9491.0000.698
WGS84경도0.9461.0000.1081.0001.0000.7980.6981.000
2023-12-11T08:14:23.376289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
평가등급시군명
평가등급1.0000.186
시군명0.1861.000
2023-12-11T08:14:23.445945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도시군명평가등급
소재지우편번호1.000-0.8630.3520.8390.000
WGS84위도-0.8631.000-0.2520.7080.056
WGS84경도0.352-0.2521.0000.6500.041
시군명0.8390.7080.6501.0000.186
평가등급0.0000.0560.0410.1861.000

Missing values

2023-12-11T08:14:19.417855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:14:19.542634image/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.
2023-12-11T08:14:19.655419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

시군명기관명평가내역평가등급소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
0안산시고려대학교의과대학부속안산병원의료급여 정신과1등급경기도 안산시 단원구 적금로 123경기도 안산시 단원구 고잔동 516번지1535537.318859126.824994
1부천시더블유진병원의료급여 정신과1등급경기도 부천시 신흥로 244경기도 부천시 중동 1061-4번지 지하1층,1~5층1453437.505449126.77598
2광명시서울희망정신건강의학과의원의료급여 정신과1등급경기도 광명시 오리로 637경기도 광명시 하안동 322-1번지 청목빌딩1430337.458203126.877848
3의정부시연세하늘병원의료급여 정신과1등급경기도 의정부시 평화로 704경기도 의정부시 가능동 79-3번지 대원빌딩1168437.7547127.043735
4고양시인제대학교일산백병원의료급여 정신과1등급경기도 고양시 일산서구 주화로 170경기도 고양시 일산서구 대화동 2240번지1038037.674271126.750382
5의정부시경기도의료원의정부병원의료급여 정신과2등급경기도 의정부시 흥선로 142경기도 의정부시 의정부동 433번지1167137.741076127.042514
6의왕시다사랑중앙병원의료급여 정신과2등급경기도 의왕시 등칙골1길 22경기도 의왕시 오전동 310번지1605837.353128126.973845
7화성시새샘병원의료급여 정신과2등급경기도 화성시 떡전골로 112-13경기도 화성시 진안동 525-14번지1839037.20875127.033463
8성남시성남제일정신건강의학과의원의료급여 정신과2등급경기도 성남시 수정구 수정로 140경기도 성남시 수정구 수진동 2번지 2,3층1332737.441793127.135706
9안산시안산연세병원의료급여 정신과2등급경기도 안산시 상록구 광덕1로 386경기도 안산시 상록구 이동 716-12번지 303,401~406,408,501,603~605,7층호1549537.308448126.852396
시군명기관명평가내역평가등급소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
77화성시의료법인 승민의료재단 화성초록병원의료급여 정신과4등급경기도 화성시 양감면 사격장길 133-25경기도 화성시 양감면 사창리 808-10번지1862637.089744126.956892
78군포시의료법인 희망나눔의료재단 휴성심병원의료급여 정신과4등급경기도 군포시 당정역로4번길 11경기도 군포시 당정동 1013-6번지 유영타운 B01,105,301,401~405,501~502호1585137.343715126.949536
79안양시평촌중앙병원의료급여 정신과4등급경기도 안양시 동안구 평촌대로223번길 49경기도 안양시 동안구 호계동 1046-6번지 아트타워빌딩 3층, 4층1407237.390351126.95307
80안성시동안성병원의료급여 정신과5등급경기도 안성시 일죽면 금일로 1-38경기도 안성시 일죽면 화봉리 809번지1753237.056379127.473558
81파주시민들레병원의료급여 정신과5등급경기도 파주시 탄현면 소리개길 74-17경기도 파주시 탄현면 법흥리 376-4번지 민들레병원1085837.789004126.709769
82안양시성모라움정신건강의학과의원의료급여 정신과5등급경기도 안양시 동안구 경수대로 428경기도 안양시 동안구 호계동 873번지 덕유파크 403호 호호1412637.362244126.9625
83남양주시온세병원의료급여 정신과5등급경기도 남양주시 평내로29번길 49경기도 남양주시 평내동 579-3번지 M2프라자 10층1222337.645874127.235643
84가평군청평우리병원의료급여 정신과5등급경기도 가평군 청평면 경춘로 791-11경기도 가평군 청평면 청평리 442-1번지1245137.737139127.41548
85부천시은혜정신건강의학과의원의료급여 정신과등급제외경기도 부천시 길주로 137경기도 부천시 상동 538-4번지 상록그린힐빌딩 4층1454237.50611126.75769
86고양시참사랑정신과의원의료급여 정신과등급제외경기도 고양시 일산서구 일현로 47경기도 고양시 일산서구 탄현동 1563-3번지 예일큰프라자 304호,404호 일부, 5층 일부1034337.691564126.762764