Overview

Dataset statistics

Number of variables9
Number of observations45
Missing cells1
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.4 KiB
Average record size in memory77.9 B

Variable types

Categorical3
Text3
Numeric3

Dataset

Description병원평가정보(질병-급성기뇌졸증) 현황
Author건강보험심사평가원
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=XP2WRQP7D0EJ3XOZCM3H21372842&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 23:07:37.604505
Analysis finished2023-12-10 23:07:39.012559
Duration1.41 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Memory size492.0 B
성남시
5 
부천시
4 
수원시
4 
평택시
4 
고양시
4 
Other values (15)
24 

Length

Max length4
Median length3
Mean length3.0666667
Min length3

Unique

Unique7 ?
Unique (%)15.6%

Sample

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

Common Values

ValueCountFrequency (%)
성남시 5
 
11.1%
부천시 4
 
8.9%
수원시 4
 
8.9%
평택시 4
 
8.9%
고양시 4
 
8.9%
안산시 3
 
6.7%
용인시 2
 
4.4%
군포시 2
 
4.4%
김포시 2
 
4.4%
시흥시 2
 
4.4%
Other values (10) 13
28.9%

Length

2023-12-11T08:07:39.071002image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
성남시 5
 
11.1%
수원시 4
 
8.9%
평택시 4
 
8.9%
고양시 4
 
8.9%
부천시 4
 
8.9%
안산시 3
 
6.7%
시흥시 2
 
4.4%
안양시 2
 
4.4%
남양주시 2
 
4.4%
안성시 2
 
4.4%
Other values (10) 13
28.9%

기관명
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-12-11T08:07:39.248297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length14
Mean length11.244444
Min length4

Characters and Unicode

Total characters506
Distinct characters112
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

Unique45 ?
Unique (%)100.0%

Sample

1st row가톨릭대학교의정부성모병원
2nd row고려대학교의과대학부속안산병원
3rd row대아의료재단한도병원
4th row대진의료재단 분당제생병원
5th row동국대학교일산불교병원
ValueCountFrequency (%)
의료법인 6
 
8.8%
경기도의료원 2
 
2.9%
효산의료재단 2
 
2.9%
가톨릭대학교의정부성모병원 1
 
1.5%
현대병원 1
 
1.5%
국민건강보험공단일산병원 1
 
1.5%
부천세종병원 1
 
1.5%
분당서울대학교병원 1
 
1.5%
오산한국병원 1
 
1.5%
녹산의료재단동수원병원 1
 
1.5%
Other values (51) 51
75.0%
2023-12-11T08:07:39.597116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 51
 
10.1%
병 45
 
8.9%
의 35
 
6.9%
료 31
 
6.1%
23
 
4.5%
대 19
 
3.8%
단 19
 
3.8%
재 17
 
3.4%
학 16
 
3.2%
교 15
 
3.0%
Other values (102) 235
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 481
95.1%
Space Separator 23
 
4.5%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 51
 
10.6%
병 45
 
9.4%
의 35
 
7.3%
료 31
 
6.4%
대 19
 
4.0%
단 19
 
4.0%
재 17
 
3.5%
학 16
 
3.3%
교 15
 
3.1%
인 14
 
2.9%
Other values (99) 219
45.5%
Space Separator
ValueCountFrequency (%)
23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 481
95.1%
Common 25
 
4.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 51
 
10.6%
병 45
 
9.4%
의 35
 
7.3%
료 31
 
6.4%
대 19
 
4.0%
단 19
 
4.0%
재 17
 
3.5%
학 16
 
3.3%
교 15
 
3.1%
인 14
 
2.9%
Other values (99) 219
45.5%
Common
ValueCountFrequency (%)
23
92.0%
( 1
 
4.0%
) 1
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 481
95.1%
ASCII 25
 
4.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 51
 
10.6%
병 45
 
9.4%
의 35
 
7.3%
료 31
 
6.4%
대 19
 
4.0%
단 19
 
4.0%
재 17
 
3.5%
학 16
 
3.3%
교 15
 
3.1%
인 14
 
2.9%
Other values (99) 219
45.5%
ASCII
ValueCountFrequency (%)
23
92.0%
( 1
 
4.0%
) 1
 
4.0%

평가내역
Categorical

CONSTANT 

Distinct1
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size492.0 B
급성기뇌졸중
45 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
급성기뇌졸중 45
100.0%

Length

2023-12-11T08:07:39.747615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:07:39.865355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
급성기뇌졸중 45
100.0%

평가등급
Categorical

Distinct5
Distinct (%)11.1%
Missing0
Missing (%)0.0%
Memory size492.0 B
1등급
29 
2등급
6 
4등급
4 
등급제외
4 
3등급
 
2

Length

Max length4
Median length3
Mean length3.0888889
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1등급 29
64.4%
2등급 6
 
13.3%
4등급 4
 
8.9%
등급제외 4
 
8.9%
3등급 2
 
4.4%

Length

2023-12-11T08:07:40.019043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T08:07:40.142007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1등급 29
64.4%
2등급 6
 
13.3%
4등급 4
 
8.9%
등급제외 4
 
8.9%
3등급 2
 
4.4%

소재지도로명주소
Text

MISSING 

Distinct44
Distinct (%)100.0%
Missing1
Missing (%)2.2%
Memory size492.0 B
2023-12-11T08:07:40.432995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length17.931818
Min length14

Characters and Unicode

Total characters789
Distinct characters109
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

Unique44 ?
Unique (%)100.0%

Sample

1st row경기도 의정부시 천보로 271
2nd row경기도 안산시 단원구 적금로 123
3rd row경기도 안산시 단원구 선부광장로 103
4th row경기도 성남시 분당구 서현로180번길 20
5th row경기도 고양시 일산동구 동국로 27
ValueCountFrequency (%)
경기도 44
 
22.3%
성남시 5
 
2.5%
수원시 4
 
2.0%
고양시 4
 
2.0%
평택시 4
 
2.0%
부천시 4
 
2.0%
분당구 3
 
1.5%
중부대로 3
 
1.5%
안산시 3
 
1.5%
시흥시 2
 
1.0%
Other values (111) 121
61.4%
2023-12-11T08:07:40.911651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
153
19.4%
시 47
 
6.0%
경 45
 
5.7%
기 45
 
5.7%
도 44
 
5.6%
로 42
 
5.3%
1 28
 
3.5%
구 23
 
2.9%
2 20
 
2.5%
3 18
 
2.3%
Other values (99) 324
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 501
63.5%
Space Separator 153
 
19.4%
Decimal Number 135
 
17.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 47
 
9.4%
경 45
 
9.0%
기 45
 
9.0%
도 44
 
8.8%
로 42
 
8.4%
구 23
 
4.6%
길 12
 
2.4%
번 10
 
2.0%
안 10
 
2.0%
산 10
 
2.0%
Other values (88) 213
42.5%
Decimal Number
ValueCountFrequency (%)
1 28
20.7%
2 20
14.8%
3 18
13.3%
7 13
9.6%
8 12
8.9%
0 11
 
8.1%
5 10
 
7.4%
6 8
 
5.9%
4 8
 
5.9%
9 7
 
5.2%
Space Separator
ValueCountFrequency (%)
153
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 501
63.5%
Common 288
36.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 47
 
9.4%
경 45
 
9.0%
기 45
 
9.0%
도 44
 
8.8%
로 42
 
8.4%
구 23
 
4.6%
길 12
 
2.4%
번 10
 
2.0%
안 10
 
2.0%
산 10
 
2.0%
Other values (88) 213
42.5%
Common
ValueCountFrequency (%)
153
53.1%
1 28
 
9.7%
2 20
 
6.9%
3 18
 
6.2%
7 13
 
4.5%
8 12
 
4.2%
0 11
 
3.8%
5 10
 
3.5%
6 8
 
2.8%
4 8
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 501
63.5%
ASCII 288
36.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
153
53.1%
1 28
 
9.7%
2 20
 
6.9%
3 18
 
6.2%
7 13
 
4.5%
8 12
 
4.2%
0 11
 
3.8%
5 10
 
3.5%
6 8
 
2.8%
4 8
 
2.8%
Hangul
ValueCountFrequency (%)
시 47
 
9.4%
경 45
 
9.0%
기 45
 
9.0%
도 44
 
8.8%
로 42
 
8.4%
구 23
 
4.6%
길 12
 
2.4%
번 10
 
2.0%
안 10
 
2.0%
산 10
 
2.0%
Other values (88) 213
42.5%

소재지지번주소
Text

UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size492.0 B
2023-12-11T08:07:41.241072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length29
Mean length23.8
Min length16

Characters and Unicode

Total characters1071
Distinct characters130
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

Unique45 ?
Unique (%)100.0%

Sample

1st row경기도 의정부시 금오동 65-1번지 의정부성모병원
2nd row경기도 안산시 단원구 고잔동 516번지
3rd row경기도 안산시 단원구 선부동 1071-1번지
4th row경기도 성남시 분당구 서현동 255-2번지
5th row경기도 고양시 일산동구 식사동 814번지 동국대학교일산병원
ValueCountFrequency (%)
경기도 45
 
20.1%
성남시 5
 
2.2%
평택시 4
 
1.8%
수원시 4
 
1.8%
부천시 4
 
1.8%
고양시 4
 
1.8%
안산시 3
 
1.3%
분당구 3
 
1.3%
단원구 2
 
0.9%
일산동구 2
 
0.9%
Other values (139) 148
66.1%
2023-12-11T08:07:41.655228image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
179
 
16.7%
지 49
 
4.6%
동 48
 
4.5%
기 48
 
4.5%
시 48
 
4.5%
경 47
 
4.4%
도 46
 
4.3%
번 45
 
4.2%
1 35
 
3.3%
원 28
 
2.6%
Other values (120) 498
46.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 694
64.8%
Space Separator 179
 
16.7%
Decimal Number 172
 
16.1%
Dash Punctuation 22
 
2.1%
Open Punctuation 1
 
0.1%
Uppercase Letter 1
 
0.1%
Close Punctuation 1
 
0.1%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 49
 
7.1%
동 48
 
6.9%
기 48
 
6.9%
시 48
 
6.9%
경 47
 
6.8%
도 46
 
6.6%
번 45
 
6.5%
원 28
 
4.0%
구 22
 
3.2%
병 18
 
2.6%
Other values (104) 295
42.5%
Decimal Number
ValueCountFrequency (%)
1 35
20.3%
6 20
11.6%
3 18
10.5%
4 17
9.9%
2 16
9.3%
5 14
 
8.1%
8 14
 
8.1%
7 13
 
7.6%
9 13
 
7.6%
0 12
 
7.0%
Space Separator
ValueCountFrequency (%)
179
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
G 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 694
64.8%
Common 376
35.1%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 49
 
7.1%
동 48
 
6.9%
기 48
 
6.9%
시 48
 
6.9%
경 47
 
6.8%
도 46
 
6.6%
번 45
 
6.5%
원 28
 
4.0%
구 22
 
3.2%
병 18
 
2.6%
Other values (104) 295
42.5%
Common
ValueCountFrequency (%)
179
47.6%
1 35
 
9.3%
- 22
 
5.9%
6 20
 
5.3%
3 18
 
4.8%
4 17
 
4.5%
2 16
 
4.3%
5 14
 
3.7%
8 14
 
3.7%
7 13
 
3.5%
Other values (5) 28
 
7.4%
Latin
ValueCountFrequency (%)
G 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 694
64.8%
ASCII 377
35.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
179
47.5%
1 35
 
9.3%
- 22
 
5.8%
6 20
 
5.3%
3 18
 
4.8%
4 17
 
4.5%
2 16
 
4.2%
5 14
 
3.7%
8 14
 
3.7%
7 13
 
3.4%
Other values (6) 29
 
7.7%
Hangul
ValueCountFrequency (%)
지 49
 
7.1%
동 48
 
6.9%
기 48
 
6.9%
시 48
 
6.9%
경 47
 
6.8%
도 46
 
6.6%
번 45
 
6.5%
원 28
 
4.0%
구 22
 
3.2%
병 18
 
2.6%
Other values (104) 295
42.5%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14487.756
Minimum10086
Maximum18450
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2023-12-11T08:07:41.832928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10086
5-th percentile10336.8
Q112756
median14647
Q316494
95-th percentile17902
Maximum18450
Range8364
Interquartile range (IQR)3738

Descriptive statistics

Standard deviation2527.271
Coefficient of variation (CV)0.17444186
Kurtosis-0.99659376
Mean14487.756
Median Absolute Deviation (MAD)1852
Skewness-0.25680497
Sum651949
Variance6387098.7
MonotonicityNot monotonic
2023-12-11T08:07:42.271608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
11765 1
 
2.2%
14068 1
 
2.2%
10444 1
 
2.2%
14754 1
 
2.2%
13620 1
 
2.2%
18144 1
 
2.2%
16494 1
 
2.2%
17874 1
 
2.2%
10086 1
 
2.2%
13496 1
 
2.2%
Other values (35) 35
77.8%
ValueCountFrequency (%)
10086 1
2.2%
10099 1
2.2%
10326 1
2.2%
10380 1
2.2%
10444 1
2.2%
10475 1
2.2%
10922 1
2.2%
11765 1
2.2%
11923 1
2.2%
12013 1
2.2%
ValueCountFrequency (%)
18450 1
2.2%
18144 1
2.2%
17909 1
2.2%
17874 1
2.2%
17825 1
2.2%
17784 1
2.2%
17592 1
2.2%
17568 1
2.2%
17064 1
2.2%
17063 1
2.2%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.389883
Minimum36.990565
Maximum37.758523
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2023-12-11T08:07:42.445794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.990565
5-th percentile37.00632
Q137.278161
median37.388208
Q337.512331
95-th percentile37.708894
Maximum37.758523
Range0.76795781
Interquartile range (IQR)0.23417009

Descriptive statistics

Standard deviation0.2154694
Coefficient of variation (CV)0.0057627727
Kurtosis-0.57282635
Mean37.389883
Median Absolute Deviation (MAD)0.11029703
Skewness-0.1885608
Sum1682.5447
Variance0.046427062
MonotonicityNot monotonic
2023-12-11T08:07:42.641511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
37.7585227082 1
 
2.2%
37.3916536825 1
 
2.2%
37.6454752678 1
 
2.2%
37.4810423491 1
 
2.2%
37.3520167812 1
 
2.2%
37.1412846971 1
 
2.2%
37.2781610499 1
 
2.2%
36.9905649024 1
 
2.2%
37.640963919 1
 
2.2%
37.4104664747 1
 
2.2%
Other values (35) 35
77.8%
ValueCountFrequency (%)
36.9905649024 1
2.2%
36.9930565731 1
2.2%
37.0058059754 1
2.2%
37.0083742374 1
2.2%
37.0173057984 1
2.2%
37.0482621367 1
2.2%
37.1412846971 1
2.2%
37.2164957291 1
2.2%
37.2315458776 1
2.2%
37.2735442921 1
2.2%
ValueCountFrequency (%)
37.7585227082 1
2.2%
37.7548777512 1
2.2%
37.7154360459 1
2.2%
37.6827278206 1
2.2%
37.6764385211 1
2.2%
37.6742710122 1
2.2%
37.6454752678 1
2.2%
37.6424745722 1
2.2%
37.640963919 1
2.2%
37.6330010089 1
2.2%

WGS84경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct45
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.97848
Minimum126.66026
Maximum127.27071
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size537.0 B
2023-12-11T08:07:42.817753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.66026
5-th percentile126.73016
Q1126.80556
median127.02798
Q3127.12178
95-th percentile127.25025
Maximum127.27071
Range0.61045209
Interquartile range (IQR)0.31621398

Descriptive statistics

Standard deviation0.17526492
Coefficient of variation (CV)0.0013802727
Kurtosis-1.292691
Mean126.97848
Median Absolute Deviation (MAD)0.15197614
Skewness-0.10176629
Sum5714.0316
Variance0.030717793
MonotonicityNot monotonic
2023-12-11T08:07:42.984067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=45)
ValueCountFrequency (%)
127.0779287098 1
 
2.2%
126.961973707 1
 
2.2%
126.7929631952 1
 
2.2%
126.7911902926 1
 
2.2%
127.1244991912 1
 
2.2%
127.0755950189 1
 
2.2%
127.0343321487 1
 
2.2%
127.1204512355 1
 
2.2%
126.660255538 1
 
2.2%
127.1258348309 1
 
2.2%
Other values (35) 35
77.8%
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%
126.7796405014 1
2.2%
126.7911902926 1
2.2%
126.7929631952 1
2.2%
ValueCountFrequency (%)
127.2707076272 1
2.2%
127.260297175 1
2.2%
127.2599526938 1
2.2%
127.2114163575 1
2.2%
127.20457392 1
2.2%
127.1799591601 1
2.2%
127.1620415598 1
2.2%
127.1325173047 1
2.2%
127.1290120515 1
2.2%
127.1258348309 1
2.2%

Interactions

2023-12-11T08:07:38.457125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:07:37.988925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:07:38.215243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:07:38.534220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:07:38.051887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:07:38.293530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:07:38.623919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:07:38.132391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T08:07:38.372992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T08:07:43.093461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명기관명평가등급소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
시군명1.0001.0000.0001.0001.0000.9860.9990.966
기관명1.0001.0001.0001.0001.0001.0001.0001.000
평가등급0.0001.0001.0001.0001.0000.3390.0000.602
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.000
소재지우편번호0.9861.0000.3391.0001.0001.0000.8790.756
WGS84위도0.9991.0000.0001.0001.0000.8791.0000.628
WGS84경도0.9661.0000.6021.0001.0000.7560.6281.000
2023-12-11T08:07:43.220297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
평가등급시군명
평가등급1.0000.000
시군명0.0001.000
2023-12-11T08:07:43.319451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도시군명평가등급
소재지우편번호1.000-0.9250.2910.7760.196
WGS84위도-0.9251.000-0.3530.8090.000
WGS84경도0.291-0.3531.0000.5900.265
시군명0.7760.8090.5901.0000.000
평가등급0.1960.0000.2650.0001.000

Missing values

2023-12-11T08:07:38.804397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T08:07:38.963859image/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
0의정부시가톨릭대학교의정부성모병원급성기뇌졸중1등급경기도 의정부시 천보로 271경기도 의정부시 금오동 65-1번지 의정부성모병원1176537.758523127.077929
1안산시고려대학교의과대학부속안산병원급성기뇌졸중1등급경기도 안산시 단원구 적금로 123경기도 안산시 단원구 고잔동 516번지1535537.318859126.824994
2안산시대아의료재단한도병원급성기뇌졸중1등급경기도 안산시 단원구 선부광장로 103경기도 안산시 단원구 선부동 1071-1번지1536737.334055126.807621
3성남시대진의료재단 분당제생병원급성기뇌졸중1등급경기도 성남시 분당구 서현로180번길 20경기도 성남시 분당구 서현동 255-2번지1359037.388208127.121777
4고양시동국대학교일산불교병원급성기뇌졸중1등급경기도 고양시 일산동구 동국로 27경기도 고양시 일산동구 식사동 814번지 동국대학교일산병원1032637.676439126.805563
5부천시순천향대학교부속부천병원급성기뇌졸중1등급경기도 부천시 조마루로 170경기도 부천시 중동 1174번지1458437.498369126.762111
6수원시아주대학교병원급성기뇌졸중1등급경기도 수원시 영통구 월드컵로 164경기도 수원시 영통구 원천동 산26-6번지1649937.279343127.046305
7군포시원광대학교 산본병원급성기뇌졸중1등급경기도 군포시 산본로 321경기도 군포시 산본동 1142번지1586537.359414126.933601
8고양시의료법인명지의료재단명지병원급성기뇌졸중1등급경기도 고양시 덕양구 화수로14번길 55경기도 고양시 덕양구 화정동 697-1번지1047537.642475126.831745
9김포시의료법인우리의료재단김포우리병원급성기뇌졸중1등급경기도 김포시 감암로 11경기도 김포시 걸포동 389-15번지 김포우리병원1009937.633001126.710552
시군명기관명평가내역평가등급소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
35남양주시현대병원급성기뇌졸중1등급경기도 남양주시 진접읍 봉현로 21경기도 남양주시 진접읍 장현리 663번지1201337.715436127.179959
36군포시효산의료재단 지샘병원급성기뇌졸중1등급경기도 군포시 군포로 591경기도 군포시 당동 730번지 (G샘병원)군포샘병원1583937.358641126.947304
37남양주시남양주 한양병원급성기뇌졸중2등급<NA>경기도 남양주시 오남읍 오남리 570번지 471204837.682728127.204574
38성남시순천의료재단 정병원급성기뇌졸중2등급경기도 성남시 수정구 수정로 76경기도 성남시 수정구 수진동 2968번지 지하3~10층1331637.439852127.129012
39시흥시의료법인 남촌의료재단 시화병원급성기뇌졸중2등급경기도 시흥시 군자천로 381경기도 시흥시 정왕동 1842-3번지 시화병원1503437.349909126.73701
40평택시의료법인 양진의료재단 평택성모병원급성기뇌졸중3등급경기도 평택시 평택로 284경기도 평택시 세교동 439-3번지1782537.008374127.074368
41수원시경기도의료원 수원병원급성기뇌졸중4등급경기도 수원시 장안구 수성로245번길 69경기도 수원시 장안구 정자동 886-9번지1631637.291887126.99634
42시흥시의료법인 석경의료재단 센트럴병원급성기뇌졸중4등급경기도 시흥시 공단1대로 237경기도 시흥시 정왕동 1366-11번지 센트럴병원1507937.336666126.728452
43안성시안성성모병원급성기뇌졸중등급제외경기도 안성시 시장길 58경기도 안성시 서인동 14번지1759237.005806127.270708
44평택시의료법인 박애의료재단 박애병원급성기뇌졸중등급제외경기도 평택시 평택2로20번길 3경기도 평택시 평택동 41-2번지1790936.993057127.089074