Overview

Dataset statistics

Number of variables9
Number of observations59
Missing cells2
Missing cells (%)0.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.5 KiB
Average record size in memory77.2 B

Variable types

Categorical3
Text3
Numeric3

Dataset

Description병원평가정보(중환자실) 현황
Author건강보험심사평가원
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=Z9LI46ZWF3PL7FECLY4K21357627&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 2 (3.4%) 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 22:04:40.565572
Analysis finished2023-12-10 22:04:41.871671
Duration1.31 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)35.6%
Missing0
Missing (%)0.0%
Memory size604.0 B
성남시
5 
고양시
5 
부천시
5 
평택시
4 
의정부시
4 
Other values (16)
36 

Length

Max length4
Median length3
Mean length3.1186441
Min length3

Unique

Unique4 ?
Unique (%)6.8%

Sample

1st row안산시
2nd row성남시
3rd row성남시
4th row군포시
5th row김포시

Common Values

ValueCountFrequency (%)
성남시 5
 
8.5%
고양시 5
 
8.5%
부천시 5
 
8.5%
평택시 4
 
6.8%
의정부시 4
 
6.8%
수원시 4
 
6.8%
남양주시 3
 
5.1%
화성시 3
 
5.1%
안산시 3
 
5.1%
용인시 3
 
5.1%
Other values (11) 20
33.9%

Length

2023-12-11T07:04:41.950653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
성남시 5
 
8.5%
부천시 5
 
8.5%
고양시 5
 
8.5%
평택시 4
 
6.8%
의정부시 4
 
6.8%
수원시 4
 
6.8%
용인시 3
 
5.1%
안양시 3
 
5.1%
시흥시 3
 
5.1%
안산시 3
 
5.1%
Other values (11) 20
33.9%

기관명
Text

UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size604.0 B
2023-12-11T07:04:42.156892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16
Mean length11.457627
Min length3

Characters and Unicode

Total characters676
Distinct characters128
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

Unique59 ?
Unique (%)100.0%

Sample

1st row고려대학교의과대학부속안산병원
2nd row대진의료재단 분당제생병원
3rd row분당서울대학교병원
4th row원광대학교 산본병원
5th row의료법인우리의료재단김포우리병원
ValueCountFrequency (%)
의료법인 10
 
10.8%
효산의료재단 2
 
2.2%
경기도의료원 2
 
2.2%
평택성모병원 1
 
1.1%
석경의료재단 1
 
1.1%
신천연합병원 1
 
1.1%
녹향의료재단 1
 
1.1%
성남중앙병원 1
 
1.1%
경기도의료원파주병원 1
 
1.1%
지샘병원 1
 
1.1%
Other values (72) 72
77.4%
2023-12-11T07:04:42.495962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 68
 
10.1%
병 58
 
8.6%
의 51
 
7.5%
료 44
 
6.5%
34
 
5.0%
단 25
 
3.7%
재 23
 
3.4%
대 22
 
3.3%
인 21
 
3.1%
학 18
 
2.7%
Other values (118) 312
46.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 640
94.7%
Space Separator 34
 
5.0%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 68
 
10.6%
병 58
 
9.1%
의 51
 
8.0%
료 44
 
6.9%
단 25
 
3.9%
재 23
 
3.6%
대 22
 
3.4%
인 21
 
3.3%
학 18
 
2.8%
교 16
 
2.5%
Other values (115) 294
45.9%
Space Separator
ValueCountFrequency (%)
34
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 640
94.7%
Common 36
 
5.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 68
 
10.6%
병 58
 
9.1%
의 51
 
8.0%
료 44
 
6.9%
단 25
 
3.9%
재 23
 
3.6%
대 22
 
3.4%
인 21
 
3.3%
학 18
 
2.8%
교 16
 
2.5%
Other values (115) 294
45.9%
Common
ValueCountFrequency (%)
34
94.4%
( 1
 
2.8%
) 1
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 640
94.7%
ASCII 36
 
5.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 68
 
10.6%
병 58
 
9.1%
의 51
 
8.0%
료 44
 
6.9%
단 25
 
3.9%
재 23
 
3.6%
대 22
 
3.4%
인 21
 
3.3%
학 18
 
2.8%
교 16
 
2.5%
Other values (115) 294
45.9%
ASCII
ValueCountFrequency (%)
34
94.4%
( 1
 
2.8%
) 1
 
2.8%

평가내역
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size604.0 B
중환자실
59 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중환자실 59
100.0%

Length

2023-12-11T07:04:42.612372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:04:42.690004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중환자실 59
100.0%

평가등급
Categorical

Distinct5
Distinct (%)8.5%
Missing0
Missing (%)0.0%
Memory size604.0 B
1등급
16 
2등급
14 
4등급
13 
3등급
12 
5등급
4 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
1등급 16
27.1%
2등급 14
23.7%
4등급 13
22.0%
3등급 12
20.3%
5등급 4
 
6.8%

Length

2023-12-11T07:04:42.769493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:04:42.857268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1등급 16
27.1%
2등급 14
23.7%
4등급 13
22.0%
3등급 12
20.3%
5등급 4
 
6.8%

소재지도로명주소
Text

MISSING 

Distinct57
Distinct (%)100.0%
Missing2
Missing (%)3.4%
Memory size604.0 B
2023-12-11T07:04:43.097820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length22
Mean length17.912281
Min length14

Characters and Unicode

Total characters1021
Distinct characters118
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

Unique57 ?
Unique (%)100.0%

Sample

1st row경기도 안산시 단원구 적금로 123
2nd row경기도 성남시 분당구 서현로180번길 20
3rd row경기도 성남시 분당구 구미로173번길 82
4th row경기도 군포시 산본로 321
5th row경기도 김포시 감암로 11
ValueCountFrequency (%)
경기도 57
 
22.4%
부천시 5
 
2.0%
성남시 5
 
2.0%
고양시 5
 
2.0%
수원시 4
 
1.6%
평택시 4
 
1.6%
의정부시 4
 
1.6%
중부대로 3
 
1.2%
화성시 3
 
1.2%
용인시 3
 
1.2%
Other values (138) 162
63.5%
2023-12-11T07:04:43.538144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
198
19.4%
시 60
 
5.9%
기 59
 
5.8%
경 58
 
5.7%
도 57
 
5.6%
로 55
 
5.4%
1 33
 
3.2%
구 26
 
2.5%
3 26
 
2.5%
2 25
 
2.4%
Other values (108) 424
41.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 651
63.8%
Space Separator 198
 
19.4%
Decimal Number 172
 
16.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 60
 
9.2%
기 59
 
9.1%
경 58
 
8.9%
도 57
 
8.8%
로 55
 
8.4%
구 26
 
4.0%
산 15
 
2.3%
길 14
 
2.2%
부 14
 
2.2%
안 13
 
2.0%
Other values (97) 280
43.0%
Decimal Number
ValueCountFrequency (%)
1 33
19.2%
3 26
15.1%
2 25
14.5%
7 16
9.3%
8 14
8.1%
0 13
 
7.6%
6 13
 
7.6%
5 12
 
7.0%
9 10
 
5.8%
4 10
 
5.8%
Space Separator
ValueCountFrequency (%)
198
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 651
63.8%
Common 370
36.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 60
 
9.2%
기 59
 
9.1%
경 58
 
8.9%
도 57
 
8.8%
로 55
 
8.4%
구 26
 
4.0%
산 15
 
2.3%
길 14
 
2.2%
부 14
 
2.2%
안 13
 
2.0%
Other values (97) 280
43.0%
Common
ValueCountFrequency (%)
198
53.5%
1 33
 
8.9%
3 26
 
7.0%
2 25
 
6.8%
7 16
 
4.3%
8 14
 
3.8%
0 13
 
3.5%
6 13
 
3.5%
5 12
 
3.2%
9 10
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 651
63.8%
ASCII 370
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
198
53.5%
1 33
 
8.9%
3 26
 
7.0%
2 25
 
6.8%
7 16
 
4.3%
8 14
 
3.8%
0 13
 
3.5%
6 13
 
3.5%
5 12
 
3.2%
9 10
 
2.7%
Hangul
ValueCountFrequency (%)
시 60
 
9.2%
기 59
 
9.1%
경 58
 
8.9%
도 57
 
8.8%
로 55
 
8.4%
구 26
 
4.0%
산 15
 
2.3%
길 14
 
2.2%
부 14
 
2.2%
안 13
 
2.0%
Other values (97) 280
43.0%

소재지지번주소
Text

UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size604.0 B
2023-12-11T07:04:43.853005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length29
Mean length23.59322
Min length16

Characters and Unicode

Total characters1392
Distinct characters140
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

Unique59 ?
Unique (%)100.0%

Sample

1st row경기도 안산시 단원구 고잔동 516번지
2nd row경기도 성남시 분당구 서현동 255-2번지
3rd row경기도 성남시 분당구 구미동 300번지 분당서울대학교병원
4th row경기도 군포시 산본동 1142번지
5th row경기도 김포시 걸포동 389-15번지 김포우리병원
ValueCountFrequency (%)
경기도 59
 
20.2%
부천시 5
 
1.7%
성남시 5
 
1.7%
고양시 5
 
1.7%
수원시 4
 
1.4%
의정부시 4
 
1.4%
평택시 4
 
1.4%
용인시 3
 
1.0%
안양시 3
 
1.0%
안산시 3
 
1.0%
Other values (173) 197
67.5%
2023-12-11T07:04:44.323040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
233
 
16.7%
지 65
 
4.7%
기 63
 
4.5%
시 63
 
4.5%
경 61
 
4.4%
동 60
 
4.3%
도 60
 
4.3%
번 59
 
4.2%
1 50
 
3.6%
- 33
 
2.4%
Other values (130) 645
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 887
63.7%
Decimal Number 234
 
16.8%
Space Separator 233
 
16.7%
Dash Punctuation 33
 
2.4%
Other Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%
Uppercase Letter 1
 
0.1%
Math Symbol 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 65
 
7.3%
기 63
 
7.1%
시 63
 
7.1%
경 61
 
6.9%
동 60
 
6.8%
도 60
 
6.8%
번 59
 
6.7%
원 30
 
3.4%
구 25
 
2.8%
병 20
 
2.3%
Other values (113) 381
43.0%
Decimal Number
ValueCountFrequency (%)
1 50
21.4%
4 26
11.1%
6 26
11.1%
3 25
10.7%
2 24
10.3%
0 18
 
7.7%
9 18
 
7.7%
7 16
 
6.8%
5 16
 
6.8%
8 15
 
6.4%
Space Separator
ValueCountFrequency (%)
233
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 33
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
G 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 887
63.7%
Common 504
36.2%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 65
 
7.3%
기 63
 
7.1%
시 63
 
7.1%
경 61
 
6.9%
동 60
 
6.8%
도 60
 
6.8%
번 59
 
6.7%
원 30
 
3.4%
구 25
 
2.8%
병 20
 
2.3%
Other values (113) 381
43.0%
Common
ValueCountFrequency (%)
233
46.2%
1 50
 
9.9%
- 33
 
6.5%
4 26
 
5.2%
6 26
 
5.2%
3 25
 
5.0%
2 24
 
4.8%
0 18
 
3.6%
9 18
 
3.6%
7 16
 
3.2%
Other values (6) 35
 
6.9%
Latin
ValueCountFrequency (%)
G 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 887
63.7%
ASCII 505
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
233
46.1%
1 50
 
9.9%
- 33
 
6.5%
4 26
 
5.1%
6 26
 
5.1%
3 25
 
5.0%
2 24
 
4.8%
0 18
 
3.6%
9 18
 
3.6%
7 16
 
3.2%
Other values (7) 36
 
7.1%
Hangul
ValueCountFrequency (%)
지 65
 
7.3%
기 63
 
7.1%
시 63
 
7.1%
경 61
 
6.9%
동 60
 
6.8%
도 60
 
6.8%
번 59
 
6.7%
원 30
 
3.4%
구 25
 
2.8%
병 20
 
2.3%
Other values (113) 381
43.0%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14364.576
Minimum10086
Maximum18592
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-11T07:04:44.510472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10086
5-th percentile10374.6
Q111968
median14577
Q316496.5
95-th percentile18165.2
Maximum18592
Range8506
Interquartile range (IQR)4528.5

Descriptive statistics

Standard deviation2625.4392
Coefficient of variation (CV)0.18277178
Kurtosis-1.2004739
Mean14364.576
Median Absolute Deviation (MAD)2487
Skewness-0.054881943
Sum847510
Variance6892931
MonotonicityNot monotonic
2023-12-11T07:04:44.652013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15355 1
 
1.7%
13590 1
 
1.7%
16316 1
 
1.7%
10408 1
 
1.7%
15367 1
 
1.7%
16995 1
 
1.7%
17825 1
 
1.7%
10086 1
 
1.7%
15839 1
 
1.7%
10922 1
 
1.7%
Other values (49) 49
83.1%
ValueCountFrequency (%)
10086 1
1.7%
10099 1
1.7%
10326 1
1.7%
10380 1
1.7%
10408 1
1.7%
10444 1
1.7%
10475 1
1.7%
10922 1
1.7%
11142 1
1.7%
11174 1
1.7%
ValueCountFrequency (%)
18592 1
1.7%
18450 1
1.7%
18356 1
1.7%
18144 1
1.7%
18136 1
1.7%
17909 1
1.7%
17874 1
1.7%
17825 1
1.7%
17784 1
1.7%
17592 1
1.7%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.422959
Minimum36.990565
Maximum37.903093
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-11T07:04:44.816499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.990565
5-th percentile37.008117
Q137.278036
median37.392894
Q337.641719
95-th percentile37.755242
Maximum37.903093
Range0.91252859
Interquartile range (IQR)0.36368344

Descriptive statistics

Standard deviation0.23358544
Coefficient of variation (CV)0.0062417682
Kurtosis-0.7263462
Mean37.422959
Median Absolute Deviation (MAD)0.16134807
Skewness-0.040026494
Sum2207.9546
Variance0.054562157
MonotonicityNot monotonic
2023-12-11T07:04:45.006531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.3188593416 1
 
1.7%
37.3882075823 1
 
1.7%
37.2918869067 1
 
1.7%
37.6632367324 1
 
1.7%
37.3340553037 1
 
1.7%
37.2707754145 1
 
1.7%
37.0083742374 1
 
1.7%
37.640963919 1
 
1.7%
37.3586407829 1
 
1.7%
37.7548777512 1
 
1.7%
Other values (49) 49
83.1%
ValueCountFrequency (%)
36.9905649024 1
1.7%
36.9930565731 1
1.7%
37.0058059754 1
1.7%
37.0083742374 1
1.7%
37.0173057984 1
1.7%
37.0482621367 1
1.7%
37.1313495282 1
1.7%
37.1412846971 1
1.7%
37.154202255 1
1.7%
37.2100622996 1
1.7%
ValueCountFrequency (%)
37.9030934888 1
1.7%
37.8274877024 1
1.7%
37.7585227082 1
1.7%
37.7548777512 1
1.7%
37.7497753415 1
1.7%
37.7453057969 1
1.7%
37.7410761753 1
1.7%
37.7154360459 1
1.7%
37.6981150615 1
1.7%
37.6827278206 1
1.7%

WGS84경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.98572
Minimum126.66026
Maximum127.27071
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size663.0 B
2023-12-11T07:04:45.451315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.66026
5-th percentile126.73615
Q1126.80659
median127.03433
Q3127.12314
95-th percentile127.21627
Maximum127.27071
Range0.61045209
Interquartile range (IQR)0.31654603

Descriptive statistics

Standard deviation0.1684964
Coefficient of variation (CV)0.0013268925
Kurtosis-1.2326016
Mean126.98572
Median Absolute Deviation (MAD)0.12355872
Skewness-0.17653868
Sum7492.1574
Variance0.028391037
MonotonicityNot monotonic
2023-12-11T07:04:45.624427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.8249943518 1
 
1.7%
127.1217770322 1
 
1.7%
126.9963395675 1
 
1.7%
126.783395561 1
 
1.7%
126.8076211068 1
 
1.7%
127.1482844761 1
 
1.7%
127.0743680813 1
 
1.7%
126.660255538 1
 
1.7%
126.9473038902 1
 
1.7%
126.7796405014 1
 
1.7%
Other values (49) 49
83.1%
ValueCountFrequency (%)
126.660255538 1
1.7%
126.7105517913 1
1.7%
126.7284520798 1
1.7%
126.7370103825 1
1.7%
126.7503817665 1
1.7%
126.7621105079 1
1.7%
126.7694862939 1
1.7%
126.7796405014 1
1.7%
126.783395561 1
1.7%
126.7841924977 1
1.7%
ValueCountFrequency (%)
127.2707076272 1
1.7%
127.260297175 1
1.7%
127.2599526938 1
1.7%
127.2114163575 1
1.7%
127.20457392 1
1.7%
127.2015749087 1
1.7%
127.1983489735 1
1.7%
127.1799591601 1
1.7%
127.1620415598 1
1.7%
127.1482844761 1
1.7%

Interactions

2023-12-11T07:04:41.436026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:40.991933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:41.200085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:41.505869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:41.060838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:41.271032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:41.575502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:41.126760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:04:41.340928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:04:45.751205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명기관명평가등급소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
시군명1.0001.0000.1571.0001.0000.9920.9840.939
기관명1.0001.0001.0001.0001.0001.0001.0001.000
평가등급0.1571.0001.0001.0001.0000.0000.0000.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.000
소재지우편번호0.9921.0000.0001.0001.0001.0000.9210.862
WGS84위도0.9841.0000.0001.0001.0000.9211.0000.711
WGS84경도0.9391.0000.0001.0001.0000.8620.7111.000
2023-12-11T07:04:45.887132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
평가등급시군명
평가등급1.0000.000
시군명0.0001.000
2023-12-11T07:04:45.970350image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도시군명평가등급
소재지우편번호1.000-0.9150.2030.8370.000
WGS84위도-0.9151.000-0.1960.7900.000
WGS84경도0.203-0.1961.0000.6320.000
시군명0.8370.7900.6321.0000.000
평가등급0.0000.0000.0000.0001.000

Missing values

2023-12-11T07:04:41.696131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:04:41.816557image/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
0안산시고려대학교의과대학부속안산병원중환자실1등급경기도 안산시 단원구 적금로 123경기도 안산시 단원구 고잔동 516번지1535537.318859126.824994
1성남시대진의료재단 분당제생병원중환자실1등급경기도 성남시 분당구 서현로180번길 20경기도 성남시 분당구 서현동 255-2번지1359037.388208127.121777
2성남시분당서울대학교병원중환자실1등급경기도 성남시 분당구 구미로173번길 82경기도 성남시 분당구 구미동 300번지 분당서울대학교병원1362037.352017127.124499
3군포시원광대학교 산본병원중환자실1등급경기도 군포시 산본로 321경기도 군포시 산본동 1142번지1586537.359414126.933601
4김포시의료법인우리의료재단김포우리병원중환자실1등급경기도 김포시 감암로 11경기도 김포시 걸포동 389-15번지 김포우리병원1009937.633001126.710552
5성남시차의과학대학교분당차병원중환자실1등급경기도 성남시 분당구 야탑로 59경기도 성남시 분당구 야탑동 351번지1349637.410466127.125835
6화성시한림대학교동탄성심병원중환자실1등급경기도 화성시 큰재봉길 7경기도 화성시 석우동 40번지1845037.216496127.079942
7구리시한양대학교구리병원중환자실1등급경기도 구리시 경춘로 153경기도 구리시 교문동 249-1번지1192337.601188127.132517
8의정부시가톨릭대학교의정부성모병원중환자실2등급경기도 의정부시 천보로 271경기도 의정부시 금오동 65-1번지 의정부성모병원1176537.758523127.077929
9광명시광명성애병원중환자실2등급경기도 광명시 디지털로 36경기도 광명시 철산동 389번지 광명성애병원1424137.473663126.87133
시군명기관명평가내역평가등급소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
49화성시의료법인 은혜와감사의료재단 화성중앙종합병원중환자실4등급경기도 화성시 향남읍 발안로 5경기도 화성시 향남읍 평리 74-1번지1859237.13135126.910773
50포천시의료법인일심의료재단우리병원중환자실4등급경기도 포천시 소흘읍 호국로 661경기도 포천시 소흘읍 송우리 116-11번지 661호1117437.827488127.148136
51남양주시남양주나눔병원중환자실5등급경기도 남양주시 오남읍 진건오남로797번길 9경기도 남양주시 오남읍 양지리 104-2번지1204537.698115127.201575
52안성시안성성모병원중환자실5등급경기도 안성시 시장길 58경기도 안성시 서인동 14번지1759237.005806127.270708
53수원시가톨릭대학교 성빈센트병원중환자실1등급경기도 수원시 팔달구 중부대로 93경기도 수원시 팔달구 지동 93-6번지1624737.277911127.027983
54고양시국민건강보험공단일산병원중환자실1등급경기도 고양시 일산동구 일산로 100경기도 고양시 일산동구 백석동 1232번지 백석1동 1241외1필지 4층1044437.645475126.792963
55부천시부천세종병원중환자실1등급경기도 부천시 호현로489번길 28경기도 부천시 소사본동 91-121번지 세종병원1475437.481042126.79119
56부천시순천향대학교부속부천병원중환자실1등급경기도 부천시 조마루로 170경기도 부천시 중동 1174번지1458437.498369126.762111
57수원시아주대학교병원중환자실1등급경기도 수원시 영통구 월드컵로 164경기도 수원시 영통구 원천동 산26-6번지1649937.279343127.046305
58고양시의료법인명지의료재단명지병원중환자실1등급경기도 고양시 덕양구 화수로14번길 55경기도 고양시 덕양구 화정동 697-1번지1047537.642475126.831745