Overview

Dataset statistics

Number of variables9
Number of observations46
Missing cells1
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.5 KiB
Average record size in memory77.9 B

Variable types

Categorical3
Text3
Numeric3

Dataset

Description병원평가정보(대장암) 현황
Author건강보험심사평가원
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=4LG4ZYOI1F7UST3GT2WF21249067&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 1 (2.2%) missing valuesMissing
기관명 has unique valuesUnique
소재지지번주소 has unique valuesUnique
소재지우편번호 has unique valuesUnique
WGS84위도 has unique valuesUnique
WGS84경도 has unique valuesUnique

Reproduction

Analysis started2023-12-10 22:26:52.232587
Analysis finished2023-12-10 22:26:53.420891
Duration1.19 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct19
Distinct (%)41.3%
Missing0
Missing (%)0.0%
Memory size500.0 B
고양시
5 
성남시
4 
수원시
4 
안산시
4 
부천시
4 
Other values (14)
25 

Length

Max length4
Median length3
Mean length3.0869565
Min length3

Unique

Unique6 ?
Unique (%)13.0%

Sample

1st row의정부시
2nd row안산시
3rd row성남시
4th row성남시
5th row수원시

Common Values

ValueCountFrequency (%)
고양시 5
10.9%
성남시 4
 
8.7%
수원시 4
 
8.7%
안산시 4
 
8.7%
부천시 4
 
8.7%
안양시 3
 
6.5%
남양주시 3
 
6.5%
용인시 3
 
6.5%
김포시 2
 
4.3%
군포시 2
 
4.3%
Other values (9) 12
26.1%

Length

2023-12-11T07:26:53.486301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고양시 5
10.9%
수원시 4
 
8.7%
안산시 4
 
8.7%
부천시 4
 
8.7%
성남시 4
 
8.7%
안양시 3
 
6.5%
남양주시 3
 
6.5%
용인시 3
 
6.5%
오산시 2
 
4.3%
시흥시 2
 
4.3%
Other values (9) 12
26.1%

기관명
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-11T07:26:53.702150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length11.130435
Min length3

Characters and Unicode

Total characters512
Distinct characters117
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

Unique46 ?
Unique (%)100.0%

Sample

1st row가톨릭대학교의정부성모병원
2nd row고려대학교의과대학부속안산병원
3rd row대진의료재단 분당제생병원
4th row분당서울대학교병원
5th row아주대학교병원
ValueCountFrequency (%)
의료법인 4
 
6.2%
효산의료재단 2
 
3.1%
남양주 1
 
1.5%
의료법인백송의료재단 1
 
1.5%
굿모닝병원 1
 
1.5%
국민건강보험공단일산병원 1
 
1.5%
인제대학교일산백병원 1
 
1.5%
차의과학대학교분당차병원 1
 
1.5%
지샘병원 1
 
1.5%
성남중앙병원 1
 
1.5%
Other values (51) 51
78.5%
2023-12-11T07:26:54.064745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 48
 
9.4%
병 45
 
8.8%
의 36
 
7.0%
료 30
 
5.9%
대 21
 
4.1%
단 19
 
3.7%
19
 
3.7%
재 18
 
3.5%
학 18
 
3.5%
인 17
 
3.3%
Other values (107) 241
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 491
95.9%
Space Separator 19
 
3.7%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 48
 
9.8%
병 45
 
9.2%
의 36
 
7.3%
료 30
 
6.1%
대 21
 
4.3%
단 19
 
3.9%
재 18
 
3.7%
학 18
 
3.7%
인 17
 
3.5%
교 16
 
3.3%
Other values (104) 223
45.4%
Space Separator
ValueCountFrequency (%)
19
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 491
95.9%
Common 21
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 48
 
9.8%
병 45
 
9.2%
의 36
 
7.3%
료 30
 
6.1%
대 21
 
4.3%
단 19
 
3.9%
재 18
 
3.7%
학 18
 
3.7%
인 17
 
3.5%
교 16
 
3.3%
Other values (104) 223
45.4%
Common
ValueCountFrequency (%)
19
90.5%
( 1
 
4.8%
) 1
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 491
95.9%
ASCII 21
 
4.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 48
 
9.8%
병 45
 
9.2%
의 36
 
7.3%
료 30
 
6.1%
대 21
 
4.3%
단 19
 
3.9%
재 18
 
3.7%
학 18
 
3.7%
인 17
 
3.5%
교 16
 
3.3%
Other values (104) 223
45.4%
ASCII
ValueCountFrequency (%)
19
90.5%
( 1
 
4.8%
) 1
 
4.8%

평가내역
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size500.0 B
대장암
46 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대장암 46
100.0%

Length

2023-12-11T07:26:54.201972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:26:54.282728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대장암 46
100.0%

평가등급
Categorical

Distinct5
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size500.0 B
1등급
20 
등급제외
18 
2등급
5 
3등급
 
2
5등급
 
1

Length

Max length4
Median length3
Mean length3.3913043
Min length3

Unique

Unique1 ?
Unique (%)2.2%

Sample

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

Common Values

ValueCountFrequency (%)
1등급 20
43.5%
등급제외 18
39.1%
2등급 5
 
10.9%
3등급 2
 
4.3%
5등급 1
 
2.2%

Length

2023-12-11T07:26:54.385138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:26:54.500355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1등급 20
43.5%
등급제외 18
39.1%
2등급 5
 
10.9%
3등급 2
 
4.3%
5등급 1
 
2.2%

소재지도로명주소
Text

MISSING 

Distinct45
Distinct (%)100.0%
Missing1
Missing (%)2.2%
Memory size500.0 B
2023-12-11T07:26:54.811888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length18.377778
Min length14

Characters and Unicode

Total characters827
Distinct characters112
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

Unique45 ?
Unique (%)100.0%

Sample

1st row경기도 의정부시 천보로 271
2nd row경기도 안산시 단원구 적금로 123
3rd row경기도 성남시 분당구 서현로180번길 20
4th row경기도 성남시 분당구 구미로173번길 82
5th row경기도 수원시 영통구 월드컵로 164
ValueCountFrequency (%)
경기도 45
 
22.0%
고양시 5
 
2.4%
부천시 4
 
2.0%
수원시 4
 
2.0%
안산시 4
 
2.0%
성남시 4
 
2.0%
일산동구 3
 
1.5%
안양시 3
 
1.5%
용인시 3
 
1.5%
분당구 3
 
1.5%
Other values (111) 127
62.0%
2023-12-11T07:26:55.219872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
160
19.3%
경 47
 
5.7%
시 47
 
5.7%
기 47
 
5.7%
도 45
 
5.4%
로 44
 
5.3%
1 30
 
3.6%
구 25
 
3.0%
3 25
 
3.0%
2 17
 
2.1%
Other values (102) 340
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 527
63.7%
Space Separator 160
 
19.3%
Decimal Number 140
 
16.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 47
 
8.9%
시 47
 
8.9%
기 47
 
8.9%
도 45
 
8.5%
로 44
 
8.3%
구 25
 
4.7%
산 15
 
2.8%
양 11
 
2.1%
길 10
 
1.9%
안 10
 
1.9%
Other values (91) 226
42.9%
Decimal Number
ValueCountFrequency (%)
1 30
21.4%
3 25
17.9%
2 17
12.1%
6 11
 
7.9%
8 11
 
7.9%
7 11
 
7.9%
0 10
 
7.1%
4 9
 
6.4%
5 9
 
6.4%
9 7
 
5.0%
Space Separator
ValueCountFrequency (%)
160
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 527
63.7%
Common 300
36.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 47
 
8.9%
시 47
 
8.9%
기 47
 
8.9%
도 45
 
8.5%
로 44
 
8.3%
구 25
 
4.7%
산 15
 
2.8%
양 11
 
2.1%
길 10
 
1.9%
안 10
 
1.9%
Other values (91) 226
42.9%
Common
ValueCountFrequency (%)
160
53.3%
1 30
 
10.0%
3 25
 
8.3%
2 17
 
5.7%
6 11
 
3.7%
8 11
 
3.7%
7 11
 
3.7%
0 10
 
3.3%
4 9
 
3.0%
5 9
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 527
63.7%
ASCII 300
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
160
53.3%
1 30
 
10.0%
3 25
 
8.3%
2 17
 
5.7%
6 11
 
3.7%
8 11
 
3.7%
7 11
 
3.7%
0 10
 
3.3%
4 9
 
3.0%
5 9
 
3.0%
Hangul
ValueCountFrequency (%)
경 47
 
8.9%
시 47
 
8.9%
기 47
 
8.9%
도 45
 
8.5%
로 44
 
8.3%
구 25
 
4.7%
산 15
 
2.8%
양 11
 
2.1%
길 10
 
1.9%
안 10
 
1.9%
Other values (91) 226
42.9%

소재지지번주소
Text

UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-11T07:26:55.426487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length29
Mean length24.369565
Min length16

Characters and Unicode

Total characters1121
Distinct characters132
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique46 ?
Unique (%)100.0%

Sample

1st row경기도 의정부시 금오동 65-1번지 의정부성모병원
2nd row경기도 안산시 단원구 고잔동 516번지
3rd row경기도 성남시 분당구 서현동 255-2번지
4th row경기도 성남시 분당구 구미동 300번지 분당서울대학교병원
5th row경기도 수원시 영통구 원천동 산26-6번지
ValueCountFrequency (%)
경기도 46
 
19.8%
고양시 5
 
2.2%
부천시 4
 
1.7%
성남시 4
 
1.7%
안산시 4
 
1.7%
수원시 4
 
1.7%
용인시 3
 
1.3%
안양시 3
 
1.3%
일산동구 3
 
1.3%
남양주시 3
 
1.3%
Other values (138) 153
65.9%
2023-12-11T07:26:55.973496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
186
 
16.6%
지 50
 
4.5%
기 49
 
4.4%
시 49
 
4.4%
동 49
 
4.4%
번 48
 
4.3%
경 47
 
4.2%
도 46
 
4.1%
1 40
 
3.6%
- 28
 
2.5%
Other values (122) 529
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 709
63.2%
Decimal Number 192
 
17.1%
Space Separator 186
 
16.6%
Dash Punctuation 28
 
2.5%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%
Other Punctuation 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 50
 
7.1%
기 49
 
6.9%
시 49
 
6.9%
동 49
 
6.9%
번 48
 
6.8%
경 47
 
6.6%
도 46
 
6.5%
원 27
 
3.8%
구 25
 
3.5%
병 18
 
2.5%
Other values (106) 301
42.5%
Decimal Number
ValueCountFrequency (%)
1 40
20.8%
3 24
12.5%
6 23
12.0%
4 19
9.9%
5 17
8.9%
2 16
 
8.3%
9 16
 
8.3%
7 15
 
7.8%
0 12
 
6.2%
8 10
 
5.2%
Space Separator
ValueCountFrequency (%)
186
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
G 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 709
63.2%
Common 411
36.7%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 50
 
7.1%
기 49
 
6.9%
시 49
 
6.9%
동 49
 
6.9%
번 48
 
6.8%
경 47
 
6.6%
도 46
 
6.5%
원 27
 
3.8%
구 25
 
3.5%
병 18
 
2.5%
Other values (106) 301
42.5%
Common
ValueCountFrequency (%)
186
45.3%
1 40
 
9.7%
- 28
 
6.8%
3 24
 
5.8%
6 23
 
5.6%
4 19
 
4.6%
5 17
 
4.1%
2 16
 
3.9%
9 16
 
3.9%
7 15
 
3.6%
Other values (5) 27
 
6.6%
Latin
ValueCountFrequency (%)
G 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 709
63.2%
ASCII 412
36.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
186
45.1%
1 40
 
9.7%
- 28
 
6.8%
3 24
 
5.8%
6 23
 
5.6%
4 19
 
4.6%
5 17
 
4.1%
2 16
 
3.9%
9 16
 
3.9%
7 15
 
3.6%
Other values (6) 28
 
6.8%
Hangul
ValueCountFrequency (%)
지 50
 
7.1%
기 49
 
6.9%
시 49
 
6.9%
동 49
 
6.9%
번 48
 
6.8%
경 47
 
6.6%
도 46
 
6.5%
원 27
 
3.8%
구 25
 
3.5%
병 18
 
2.5%
Other values (106) 301
42.5%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14252.413
Minimum10086
Maximum18450
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-11T07:26:56.096517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10086
5-th percentile10339.5
Q112094.5
median14548.5
Q316151.5
95-th percentile18070.5
Maximum18450
Range8364
Interquartile range (IQR)4057

Descriptive statistics

Standard deviation2481.4319
Coefficient of variation (CV)0.17410609
Kurtosis-0.98509813
Mean14252.413
Median Absolute Deviation (MAD)1948
Skewness-0.17301374
Sum655611
Variance6157504.5
MonotonicityNot monotonic
2023-12-11T07:26:56.236505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
11765 1
 
2.2%
18144 1
 
2.2%
13496 1
 
2.2%
15839 1
 
2.2%
13161 1
 
2.2%
10475 1
 
2.2%
14030 1
 
2.2%
16494 1
 
2.2%
17063 1
 
2.2%
12048 1
 
2.2%
Other values (36) 36
78.3%
ValueCountFrequency (%)
10086 1
2.2%
10099 1
2.2%
10326 1
2.2%
10380 1
2.2%
10408 1
2.2%
10444 1
2.2%
10475 1
2.2%
11174 1
2.2%
11765 1
2.2%
11923 1
2.2%
ValueCountFrequency (%)
18450 1
2.2%
18144 1
2.2%
18136 1
2.2%
17874 1
2.2%
17825 1
2.2%
17064 1
2.2%
17063 1
2.2%
16995 1
2.2%
16565 1
2.2%
16499 1
2.2%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.423882
Minimum36.990565
Maximum37.827488
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-11T07:26:56.368829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.990565
5-th percentile37.144514
Q137.286283
median37.389931
Q337.625048
95-th percentile37.707259
Maximum37.827488
Range0.8369228
Interquartile range (IQR)0.33876496

Descriptive statistics

Standard deviation0.19445557
Coefficient of variation (CV)0.0051960287
Kurtosis-0.41129479
Mean37.423882
Median Absolute Deviation (MAD)0.11420321
Skewness0.030163263
Sum1721.4986
Variance0.037812968
MonotonicityNot monotonic
2023-12-11T07:26:56.487304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
37.7585227082 1
 
2.2%
37.1412846971 1
 
2.2%
37.4104664747 1
 
2.2%
37.3586407829 1
 
2.2%
37.4528318807 1
 
2.2%
37.6424745722 1
 
2.2%
37.3928939479 1
 
2.2%
37.2781610499 1
 
2.2%
37.2315458776 1
 
2.2%
37.6827278206 1
 
2.2%
Other values (36) 36
78.3%
ValueCountFrequency (%)
36.9905649024 1
2.2%
37.0083742374 1
2.2%
37.1412846971 1
2.2%
37.154202255 1
2.2%
37.2164957291 1
2.2%
37.2315458776 1
2.2%
37.2599872585 1
2.2%
37.2707754145 1
2.2%
37.2735442921 1
2.2%
37.2779105554 1
2.2%
ValueCountFrequency (%)
37.8274877024 1
2.2%
37.7585227082 1
2.2%
37.7154360459 1
2.2%
37.6827278206 1
2.2%
37.6764385211 1
2.2%
37.6742710122 1
2.2%
37.6632367324 1
2.2%
37.6454752678 1
2.2%
37.6424745722 1
2.2%
37.640963919 1
2.2%

WGS84경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct46
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.96913
Minimum126.66026
Maximum127.25995
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-11T07:26:56.628379image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.66026
5-th percentile126.73059
Q1126.80608
median126.99228
Q3127.12145
95-th percentile127.20505
Maximum127.25995
Range0.59969716
Interquartile range (IQR)0.31536802

Descriptive statistics

Standard deviation0.16895806
Coefficient of variation (CV)0.0013307018
Kurtosis-1.3826062
Mean126.96913
Median Absolute Deviation (MAD)0.15167445
Skewness-0.098369486
Sum5840.5802
Variance0.028546826
MonotonicityNot monotonic
2023-12-11T07:26:56.762819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)
ValueCountFrequency (%)
127.0779287098 1
 
2.2%
127.0755950189 1
 
2.2%
127.1258348309 1
 
2.2%
126.9473038902 1
 
2.2%
127.1620415598 1
 
2.2%
126.8317454892 1
 
2.2%
126.9248195521 1
 
2.2%
127.0343321487 1
 
2.2%
127.2114163575 1
 
2.2%
127.20457392 1
 
2.2%
Other values (36) 36
78.3%
ValueCountFrequency (%)
126.660255538 1
2.2%
126.7105517913 1
2.2%
126.7284520798 1
2.2%
126.7370103825 1
2.2%
126.7503817665 1
2.2%
126.7621105079 1
2.2%
126.7694862939 1
2.2%
126.783395561 1
2.2%
126.7911902926 1
2.2%
126.7929631952 1
2.2%
ValueCountFrequency (%)
127.2599526938 1
2.2%
127.2114163575 1
2.2%
127.2052107223 1
2.2%
127.20457392 1
2.2%
127.1799591601 1
2.2%
127.1620415598 1
2.2%
127.1482844761 1
2.2%
127.1481359819 1
2.2%
127.1325173047 1
2.2%
127.1258348309 1
2.2%

Interactions

2023-12-11T07:26:53.002534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:26:52.603320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:26:52.813088image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:26:53.069899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:26:52.671951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:26:52.873651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:26:53.139874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:26:52.744646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:26:52.937690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:26:56.843603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명기관명평가등급소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
시군명1.0001.0000.5321.0001.0000.9920.9520.914
기관명1.0001.0001.0001.0001.0001.0001.0001.000
평가등급0.5321.0001.0001.0001.0000.4300.3670.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.000
소재지우편번호0.9921.0000.4301.0001.0001.0000.9160.844
WGS84위도0.9521.0000.3671.0001.0000.9161.0000.563
WGS84경도0.9141.0000.0001.0001.0000.8440.5631.000
2023-12-11T07:26:56.954313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명평가등급
시군명1.0000.223
평가등급0.2231.000
2023-12-11T07:26:57.026730image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도시군명평가등급
소재지우편번호1.000-0.9240.1910.8260.129
WGS84위도-0.9241.000-0.1780.6620.134
WGS84경도0.191-0.1781.0000.5640.000
시군명0.8260.6620.5641.0000.223
평가등급0.1290.1340.0000.2231.000

Missing values

2023-12-11T07:26:53.242093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:26:53.362412image/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

시군명기관명평가내역평가등급소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
0의정부시가톨릭대학교의정부성모병원대장암1등급경기도 의정부시 천보로 271경기도 의정부시 금오동 65-1번지 의정부성모병원1176537.758523127.077929
1안산시고려대학교의과대학부속안산병원대장암1등급경기도 안산시 단원구 적금로 123경기도 안산시 단원구 고잔동 516번지1535537.318859126.824994
2성남시대진의료재단 분당제생병원대장암1등급경기도 성남시 분당구 서현로180번길 20경기도 성남시 분당구 서현동 255-2번지1359037.388208127.121777
3성남시분당서울대학교병원대장암1등급경기도 성남시 분당구 구미로173번길 82경기도 성남시 분당구 구미동 300번지 분당서울대학교병원1362037.352017127.124499
4수원시아주대학교병원대장암1등급경기도 수원시 영통구 월드컵로 164경기도 수원시 영통구 원천동 산26-6번지1649937.279343127.046305
5군포시원광대학교 산본병원대장암1등급경기도 군포시 산본로 321경기도 군포시 산본동 1142번지1586537.359414126.933601
6김포시의료법인우리의료재단김포우리병원대장암1등급경기도 김포시 감암로 11경기도 김포시 걸포동 389-15번지 김포우리병원1009937.633001126.710552
7화성시한림대학교동탄성심병원대장암1등급경기도 화성시 큰재봉길 7경기도 화성시 석우동 40번지1845037.216496127.079942
8구리시한양대학교구리병원대장암1등급경기도 구리시 경춘로 153경기도 구리시 교문동 249-1번지1192337.601188127.132517
9광명시광명성애병원대장암2등급경기도 광명시 디지털로 36경기도 광명시 철산동 389번지 광명성애병원1424137.473663126.87133
시군명기관명평가내역평가등급소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
36시흥시의료법인 석경의료재단 센트럴병원대장암등급제외경기도 시흥시 공단1대로 237경기도 시흥시 정왕동 1366-11번지 센트럴병원1507937.336666126.728452
37김포시의료법인인봉의료재단뉴고려병원대장암등급제외경기도 김포시 김포한강3로 283경기도 김포시 장기동 1764번지 뉴고려병원1008637.640964126.660256
38안산시의료법인칠석의료재단사랑의병원대장암등급제외경기도 안산시 상록구 예술광장로 69경기도 안산시 상록구 성포동 593-4번지 사랑의병원(593-4번지/593-5번지)1529137.327011126.844787
39오산시조은오산병원대장암등급제외경기도 오산시 오산로 307경기도 오산시 오산동 399번지1813637.154202127.068191
40남양주시현대병원대장암등급제외경기도 남양주시 진접읍 봉현로 21경기도 남양주시 진접읍 장현리 663번지1201337.715436127.179959
41수원시가톨릭대학교 성빈센트병원대장암1등급경기도 수원시 팔달구 중부대로 93경기도 수원시 팔달구 지동 93-6번지1624737.277911127.027983
42부천시가톨릭대학교부천성모병원대장암1등급경기도 부천시 소사로 327경기도 부천시 소사동 2번지 가톨릭대학교부천성모병원1464737.487275126.79336
43고양시국립암센터대장암1등급경기도 고양시 일산동구 일산로 323경기도 고양시 일산동구 마두동 809번지1040837.663237126.783396
44고양시국민건강보험공단일산병원대장암1등급경기도 고양시 일산동구 일산로 100경기도 고양시 일산동구 백석동 1232번지 백석1동 1241외1필지 4층1044437.645475126.792963
45고양시동국대학교일산불교병원대장암1등급경기도 고양시 일산동구 동국로 27경기도 고양시 일산동구 식사동 814번지 동국대학교일산병원1032637.676439126.805563