Overview

Dataset statistics

Number of variables9
Number of observations250
Missing cells21
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.4 KiB
Average record size in memory75.5 B

Variable types

Categorical3
Text3
Numeric3

Dataset

Description병원평가정보(요양병원) 현황
Author건강보험심사평가원
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=UK3IJB63YWJF3OR1Z95321343606&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 9 (3.6%) missing valuesMissing
WGS84위도 has 5 (2.0%) missing valuesMissing
WGS84경도 has 5 (2.0%) missing valuesMissing
소재지지번주소 has unique valuesUnique

Reproduction

Analysis started2023-12-10 22:06:03.864147
Analysis finished2023-12-10 22:06:05.318279
Duration1.45 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct30
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
고양시
24 
부천시
22 
파주시
17 
용인시
16 
안산시
 
15
Other values (25)
156 

Length

Max length4
Median length3
Mean length3.116
Min length3

Unique

Unique2 ?
Unique (%)0.8%

Sample

1st row시흥시
2nd row구리시
3rd row용인시
4th row성남시
5th row광주시

Common Values

ValueCountFrequency (%)
고양시 24
 
9.6%
부천시 22
 
8.8%
파주시 17
 
6.8%
용인시 16
 
6.4%
안산시 15
 
6.0%
남양주시 15
 
6.0%
수원시 14
 
5.6%
성남시 12
 
4.8%
양주시 11
 
4.4%
시흥시 9
 
3.6%
Other values (20) 95
38.0%

Length

2023-12-11T07:06:05.367776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
고양시 24
 
9.6%
부천시 22
 
8.8%
파주시 17
 
6.8%
용인시 16
 
6.4%
안산시 15
 
6.0%
남양주시 15
 
6.0%
수원시 14
 
5.6%
성남시 12
 
4.8%
양주시 11
 
4.4%
시흥시 9
 
3.6%
Other values (20) 95
38.0%

기관명
Text

Distinct247
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-11T07:06:05.547931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length22
Mean length9.648
Min length4

Characters and Unicode

Total characters2412
Distinct characters244
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique244 ?
Unique (%)97.6%

Sample

1st row경기도립노인전문시흥병원
2nd row구리효요양병원
3rd row로하스용인요양병원
4th row보바스기념병원
5th row선한빛요양병원
ValueCountFrequency (%)
의료법인 19
 
6.0%
요양병원 5
 
1.6%
위더스요양병원 2
 
0.6%
참사랑 2
 
0.6%
서울요양병원 2
 
0.6%
경기요양병원 2
 
0.6%
우리요양병원 2
 
0.6%
한사랑요양병원 2
 
0.6%
우성요양병원 1
 
0.3%
수원행복한요양병원 1
 
0.3%
Other values (277) 277
87.9%
2023-12-11T07:06:05.845955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 266
 
11.0%
병 251
 
10.4%
양 226
 
9.4%
요 219
 
9.1%
의 89
 
3.7%
료 81
 
3.4%
인 71
 
2.9%
65
 
2.7%
재 51
 
2.1%
단 48
 
2.0%
Other values (234) 1045
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2329
96.6%
Space Separator 65
 
2.7%
Close Punctuation 8
 
0.3%
Open Punctuation 7
 
0.3%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 266
 
11.4%
병 251
 
10.8%
양 226
 
9.7%
요 219
 
9.4%
의 89
 
3.8%
료 81
 
3.5%
인 71
 
3.0%
재 51
 
2.2%
단 48
 
2.1%
법 40
 
1.7%
Other values (228) 987
42.4%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
R 1
33.3%
S 1
33.3%
Space Separator
ValueCountFrequency (%)
65
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2329
96.6%
Common 80
 
3.3%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 266
 
11.4%
병 251
 
10.8%
양 226
 
9.7%
요 219
 
9.4%
의 89
 
3.8%
료 81
 
3.5%
인 71
 
3.0%
재 51
 
2.2%
단 48
 
2.1%
법 40
 
1.7%
Other values (228) 987
42.4%
Common
ValueCountFrequency (%)
65
81.2%
) 8
 
10.0%
( 7
 
8.8%
Latin
ValueCountFrequency (%)
C 1
33.3%
R 1
33.3%
S 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2329
96.6%
ASCII 83
 
3.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 266
 
11.4%
병 251
 
10.8%
양 226
 
9.7%
요 219
 
9.4%
의 89
 
3.8%
료 81
 
3.5%
인 71
 
3.0%
재 51
 
2.2%
단 48
 
2.1%
법 40
 
1.7%
Other values (228) 987
42.4%
ASCII
ValueCountFrequency (%)
65
78.3%
) 8
 
9.6%
( 7
 
8.4%
C 1
 
1.2%
R 1
 
1.2%
S 1
 
1.2%

평가내역
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
요양병원
250 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
요양병원 250
100.0%

Length

2023-12-11T07:06:05.954562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:06:06.027439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
요양병원 250
100.0%

평가등급
Categorical

Distinct6
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
3등급
77 
2등급
50 
4등급
44 
5등급
40 
1등급
33 

Length

Max length4
Median length3
Mean length3.024
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3등급 77
30.8%
2등급 50
20.0%
4등급 44
17.6%
5등급 40
16.0%
1등급 33
13.2%
등급제외 6
 
2.4%

Length

2023-12-11T07:06:06.107482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:06:06.214008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3등급 77
30.8%
2등급 50
20.0%
4등급 44
17.6%
5등급 40
16.0%
1등급 33
13.2%
등급제외 6
 
2.4%

소재지도로명주소
Text

MISSING 

Distinct240
Distinct (%)99.6%
Missing9
Missing (%)3.6%
Memory size2.1 KiB
2023-12-11T07:06:06.472155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length26
Mean length19.443983
Min length14

Characters and Unicode

Total characters4686
Distinct characters202
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

Unique239 ?
Unique (%)99.2%

Sample

1st row경기도 시흥시 하중로 285
2nd row경기도 구리시 동구릉로 56
3rd row경기도 용인시 처인구 금령로 21
4th row경기도 성남시 분당구 대왕판교로 155-7
5th row경기도 광주시 경충대로1926번길 119
ValueCountFrequency (%)
경기도 241
 
21.8%
고양시 22
 
2.0%
부천시 22
 
2.0%
파주시 17
 
1.5%
용인시 16
 
1.4%
안산시 14
 
1.3%
남양주시 14
 
1.3%
수원시 13
 
1.2%
일산동구 12
 
1.1%
성남시 12
 
1.1%
Other values (478) 724
65.4%
2023-12-11T07:06:06.932066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
866
18.5%
경 256
 
5.5%
도 254
 
5.4%
기 252
 
5.4%
시 245
 
5.2%
로 230
 
4.9%
1 187
 
4.0%
2 124
 
2.6%
4 102
 
2.2%
3 92
 
2.0%
Other values (192) 2078
44.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2868
61.2%
Decimal Number 897
 
19.1%
Space Separator 866
 
18.5%
Dash Punctuation 55
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 256
 
8.9%
도 254
 
8.9%
기 252
 
8.8%
시 245
 
8.5%
로 230
 
8.0%
구 90
 
3.1%
양 78
 
2.7%
길 75
 
2.6%
번 64
 
2.2%
주 55
 
1.9%
Other values (180) 1269
44.2%
Decimal Number
ValueCountFrequency (%)
1 187
20.8%
2 124
13.8%
4 102
11.4%
3 92
10.3%
5 79
8.8%
0 66
 
7.4%
7 65
 
7.2%
8 62
 
6.9%
6 61
 
6.8%
9 59
 
6.6%
Space Separator
ValueCountFrequency (%)
866
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2868
61.2%
Common 1818
38.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 256
 
8.9%
도 254
 
8.9%
기 252
 
8.8%
시 245
 
8.5%
로 230
 
8.0%
구 90
 
3.1%
양 78
 
2.7%
길 75
 
2.6%
번 64
 
2.2%
주 55
 
1.9%
Other values (180) 1269
44.2%
Common
ValueCountFrequency (%)
866
47.6%
1 187
 
10.3%
2 124
 
6.8%
4 102
 
5.6%
3 92
 
5.1%
5 79
 
4.3%
0 66
 
3.6%
7 65
 
3.6%
8 62
 
3.4%
6 61
 
3.4%
Other values (2) 114
 
6.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2868
61.2%
ASCII 1818
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
866
47.6%
1 187
 
10.3%
2 124
 
6.8%
4 102
 
5.6%
3 92
 
5.1%
5 79
 
4.3%
0 66
 
3.6%
7 65
 
3.6%
8 62
 
3.4%
6 61
 
3.4%
Other values (2) 114
 
6.3%
Hangul
ValueCountFrequency (%)
경 256
 
8.9%
도 254
 
8.9%
기 252
 
8.8%
시 245
 
8.5%
로 230
 
8.0%
구 90
 
3.1%
양 78
 
2.7%
길 75
 
2.6%
번 64
 
2.2%
주 55
 
1.9%
Other values (180) 1269
44.2%

소재지지번주소
Text

UNIQUE 

Distinct250
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.1 KiB
2023-12-11T07:06:07.205231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length50
Mean length29.136
Min length16

Characters and Unicode

Total characters7284
Distinct characters285
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique250 ?
Unique (%)100.0%

Sample

1st row경기도 시흥시 광석동 353-9번지 시흥병원 경기도립 노인전문
2nd row경기도 구리시 인창동 576-20번지 영빈웨딩프라자 지하1층, 2층~5층
3rd row경기도 용인시 처인구 김량장동 294-16번지 메디타워
4th row경기도 성남시 분당구 금곡동 310-8번지 보바스기념병원
5th row경기도 광주시 탄벌동 696-2번지 연세대학교 의과대학세브란스정신건강병원
ValueCountFrequency (%)
경기도 250
 
17.7%
고양시 24
 
1.7%
부천시 22
 
1.6%
파주시 17
 
1.2%
용인시 16
 
1.1%
안산시 15
 
1.1%
남양주시 15
 
1.1%
수원시 14
 
1.0%
일산동구 13
 
0.9%
성남시 12
 
0.8%
Other values (746) 1017
71.9%
2023-12-11T07:06:07.603992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1165
 
16.0%
1 304
 
4.2%
지 294
 
4.0%
기 264
 
3.6%
도 260
 
3.6%
시 255
 
3.5%
경 253
 
3.5%
번 246
 
3.4%
동 230
 
3.2%
- 200
 
2.7%
Other values (275) 3813
52.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4142
56.9%
Decimal Number 1525
 
20.9%
Space Separator 1165
 
16.0%
Dash Punctuation 200
 
2.7%
Other Punctuation 152
 
2.1%
Math Symbol 58
 
0.8%
Uppercase Letter 23
 
0.3%
Open Punctuation 8
 
0.1%
Close Punctuation 8
 
0.1%
Lowercase Letter 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 294
 
7.1%
기 264
 
6.4%
도 260
 
6.3%
시 255
 
6.2%
경 253
 
6.1%
번 246
 
5.9%
동 230
 
5.6%
층 144
 
3.5%
양 101
 
2.4%
구 94
 
2.3%
Other values (238) 2001
48.3%
Uppercase Letter
ValueCountFrequency (%)
B 5
21.7%
O 3
13.0%
A 2
 
8.7%
N 1
 
4.3%
S 1
 
4.3%
W 1
 
4.3%
T 1
 
4.3%
V 1
 
4.3%
J 1
 
4.3%
D 1
 
4.3%
Other values (6) 6
26.1%
Decimal Number
ValueCountFrequency (%)
1 304
19.9%
3 178
11.7%
0 169
11.1%
2 166
10.9%
5 148
9.7%
4 148
9.7%
6 124
8.1%
7 115
 
7.5%
8 91
 
6.0%
9 82
 
5.4%
Lowercase Letter
ValueCountFrequency (%)
k 1
33.3%
b 1
33.3%
e 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 149
98.0%
. 3
 
2.0%
Math Symbol
ValueCountFrequency (%)
~ 57
98.3%
∥ 1
 
1.7%
Space Separator
ValueCountFrequency (%)
1165
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 200
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4142
56.9%
Common 3116
42.8%
Latin 26
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 294
 
7.1%
기 264
 
6.4%
도 260
 
6.3%
시 255
 
6.2%
경 253
 
6.1%
번 246
 
5.9%
동 230
 
5.6%
층 144
 
3.5%
양 101
 
2.4%
구 94
 
2.3%
Other values (238) 2001
48.3%
Latin
ValueCountFrequency (%)
B 5
19.2%
O 3
 
11.5%
A 2
 
7.7%
N 1
 
3.8%
k 1
 
3.8%
b 1
 
3.8%
S 1
 
3.8%
W 1
 
3.8%
T 1
 
3.8%
V 1
 
3.8%
Other values (9) 9
34.6%
Common
ValueCountFrequency (%)
1165
37.4%
1 304
 
9.8%
- 200
 
6.4%
3 178
 
5.7%
0 169
 
5.4%
2 166
 
5.3%
, 149
 
4.8%
5 148
 
4.7%
4 148
 
4.7%
6 124
 
4.0%
Other values (8) 365
 
11.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4142
56.9%
ASCII 3141
43.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1165
37.1%
1 304
 
9.7%
- 200
 
6.4%
3 178
 
5.7%
0 169
 
5.4%
2 166
 
5.3%
, 149
 
4.7%
5 148
 
4.7%
4 148
 
4.7%
6 124
 
3.9%
Other values (26) 390
 
12.4%
Hangul
ValueCountFrequency (%)
지 294
 
7.1%
기 264
 
6.4%
도 260
 
6.3%
시 255
 
6.2%
경 253
 
6.1%
번 246
 
5.9%
동 230
 
5.6%
층 144
 
3.5%
양 101
 
2.4%
구 94
 
2.3%
Other values (238) 2001
48.3%
Math Operators
ValueCountFrequency (%)
∥ 1
100.0%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct226
Distinct (%)91.1%
Missing2
Missing (%)0.8%
Infinite0
Infinite (%)0.0%
Mean13862.097
Minimum10072
Maximum18577
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T07:06:07.731650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10072
5-th percentile10338.7
Q111518
median14006
Q316016.25
95-th percentile18033.9
Maximum18577
Range8505
Interquartile range (IQR)4498.25

Descriptive statistics

Standard deviation2538.8752
Coefficient of variation (CV)0.18315232
Kurtosis-1.2572589
Mean13862.097
Median Absolute Deviation (MAD)2309
Skewness0.18088753
Sum3437800
Variance6445887.4
MonotonicityNot monotonic
2023-12-11T07:06:07.847154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11518 3
 
1.2%
17089 2
 
0.8%
14643 2
 
0.8%
14006 2
 
0.8%
18537 2
 
0.8%
11521 2
 
0.8%
15455 2
 
0.8%
11321 2
 
0.8%
12814 2
 
0.8%
15457 2
 
0.8%
Other values (216) 227
90.8%
ValueCountFrequency (%)
10072 1
0.4%
10117 1
0.4%
10120 1
0.4%
10228 1
0.4%
10250 1
0.4%
10258 1
0.4%
10264 1
0.4%
10302 1
0.4%
10305 1
0.4%
10311 1
0.4%
ValueCountFrequency (%)
18577 1
0.4%
18573 1
0.4%
18558 1
0.4%
18537 2
0.8%
18414 1
0.4%
18401 1
0.4%
18398 1
0.4%
18289 1
0.4%
18119 1
0.4%
18117 1
0.4%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct244
Distinct (%)99.6%
Missing5
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean37.47851
Minimum36.989891
Maximum37.94218
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T07:06:07.965579image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.989891
5-th percentile37.115861
Q137.301537
median37.457331
Q337.675003
95-th percentile37.873269
Maximum37.94218
Range0.95228922
Interquartile range (IQR)0.37346591

Descriptive statistics

Standard deviation0.23141709
Coefficient of variation (CV)0.0061746607
Kurtosis-0.83146116
Mean37.47851
Median Absolute Deviation (MAD)0.18220653
Skewness0.059791705
Sum9182.2351
Variance0.053553867
MonotonicityNot monotonic
2023-12-11T07:06:08.081929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.3011341461 2
 
0.8%
37.3447661065 1
 
0.4%
37.3504777432 1
 
0.4%
37.5976760447 1
 
0.4%
37.3312494795 1
 
0.4%
37.1818804043 1
 
0.4%
37.5029663827 1
 
0.4%
37.416075304 1
 
0.4%
37.4386304277 1
 
0.4%
37.4446578794 1
 
0.4%
Other values (234) 234
93.6%
(Missing) 5
 
2.0%
ValueCountFrequency (%)
36.9898906563 1
0.4%
36.9919683829 1
0.4%
36.9971749018 1
0.4%
37.0049595787 1
0.4%
37.0098700968 1
0.4%
37.0150965847 1
0.4%
37.0166923126 1
0.4%
37.0187101618 1
0.4%
37.0423612446 1
0.4%
37.0538694161 1
0.4%
ValueCountFrequency (%)
37.9421798717 1
0.4%
37.9348602658 1
0.4%
37.9198109083 1
0.4%
37.9172633702 1
0.4%
37.9125441079 1
0.4%
37.9068599484 1
0.4%
37.9008714567 1
0.4%
37.9000513558 1
0.4%
37.8992069249 1
0.4%
37.8959039625 1
0.4%

WGS84경도
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct244
Distinct (%)99.6%
Missing5
Missing (%)2.0%
Infinite0
Infinite (%)0.0%
Mean127.00962
Minimum126.67609
Maximum127.78078
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.3 KiB
2023-12-11T07:06:08.230808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.67609
5-th percentile126.74999
Q1126.80143
median126.98254
Q3127.14365
95-th percentile127.38835
Maximum127.78078
Range1.1046847
Interquartile range (IQR)0.34221782

Descriptive statistics

Standard deviation0.22817243
Coefficient of variation (CV)0.0017964972
Kurtosis0.43926353
Mean127.00962
Median Absolute Deviation (MAD)0.17407523
Skewness0.86069974
Sum31117.357
Variance0.052062656
MonotonicityNot monotonic
2023-12-11T07:06:08.576952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.8133164971 2
 
0.8%
126.7853041907 1
 
0.4%
126.9441910044 1
 
0.4%
126.7211090428 1
 
0.4%
127.1275487633 1
 
0.4%
127.5611511576 1
 
0.4%
126.7637170569 1
 
0.4%
127.120891088 1
 
0.4%
127.1274354979 1
 
0.4%
127.1593990216 1
 
0.4%
Other values (234) 234
93.6%
(Missing) 5
 
2.0%
ValueCountFrequency (%)
126.6760927289 1
0.4%
126.6864519306 1
0.4%
126.6870055362 1
0.4%
126.7109962005 1
0.4%
126.7211030095 1
0.4%
126.7211090428 1
0.4%
126.7224331558 1
0.4%
126.7247122889 1
0.4%
126.7284520798 1
0.4%
126.7348983813 1
0.4%
ValueCountFrequency (%)
127.7807774627 1
0.4%
127.6913745235 1
0.4%
127.6691950314 1
0.4%
127.6686207363 1
0.4%
127.6288883839 1
0.4%
127.6201407328 1
0.4%
127.5892647695 1
0.4%
127.5858092755 1
0.4%
127.5611511576 1
0.4%
127.5348966825 1
0.4%

Interactions

2023-12-11T07:06:04.827509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:06:04.426291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:06:04.620428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:06:04.894795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:06:04.491420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:06:04.687182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:06:04.969209image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:06:04.554005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:06:04.760799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:06:08.658247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명평가등급소재지우편번호WGS84위도WGS84경도
시군명1.0000.0000.9980.9530.924
평가등급0.0001.0000.0000.0000.000
소재지우편번호0.9980.0001.0000.9230.846
WGS84위도0.9530.0000.9231.0000.632
WGS84경도0.9240.0000.8460.6321.000
2023-12-11T07:06:08.741660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명평가등급
시군명1.0000.000
평가등급0.0001.000
2023-12-11T07:06:08.824599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도시군명평가등급
소재지우편번호1.000-0.8960.2280.8870.000
WGS84위도-0.8961.000-0.2340.7160.000
WGS84경도0.228-0.2341.0000.6320.000
시군명0.8870.7160.6321.0000.000
평가등급0.0000.0000.0000.0001.000

Missing values

2023-12-11T07:06:05.069877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:06:05.180886image/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.
2023-12-11T07:06:05.268732image/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
0시흥시경기도립노인전문시흥병원요양병원1등급경기도 시흥시 하중로 285경기도 시흥시 광석동 353-9번지 시흥병원 경기도립 노인전문1497837.386269126.807096
1구리시구리효요양병원요양병원1등급경기도 구리시 동구릉로 56경기도 구리시 인창동 576-20번지 영빈웨딩프라자 지하1층, 2층~5층1192337.605096127.134096
2용인시로하스용인요양병원요양병원1등급경기도 용인시 처인구 금령로 21경기도 용인시 처인구 김량장동 294-16번지 메디타워1705037.235057127.198652
3성남시보바스기념병원요양병원1등급경기도 성남시 분당구 대왕판교로 155-7경기도 성남시 분당구 금곡동 310-8번지 보바스기념병원1355237.356095127.098361
4광주시선한빛요양병원요양병원1등급경기도 광주시 경충대로1926번길 119경기도 광주시 탄벌동 696-2번지 연세대학교 의과대학세브란스정신건강병원1274837.411658127.22475
5파주시세계로요양병원요양병원1등급경기도 파주시 경의로1240번길 39경기도 파주시 와동동 1469번지 한미프라자 2,3,4층1089637.72835126.763262
6안산시안산조은요양병원요양병원1등급경기도 안산시 단원구 광덕4로 180경기도 안산시 단원구 고잔동 724-4번지 201호,207호,301~309호1546237.314639126.832627
7수원시연세수요양병원요양병원1등급경기도 수원시 장안구 만석로 206경기도 수원시 장안구 송죽동 447번지 2~5층,6(일부)층1630337.304474127.00148
8파주시운정한강요양병원요양병원1등급경기도 파주시 경의로 1102경기도 파주시 야당동 1074-1번지 3,4(일부)5~7층1090837.715766126.760175
9시흥시의료법인 능곡의료재단 능곡요양병원요양병원1등급경기도 시흥시 승지로60번길 36경기도 시흥시 능곡동 744번지 월드프라자 301호,303호,304호,401호501호601호1499537.36865126.810725
시군명기관명평가내역평가등급소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
240양주시송추효요양병원요양병원2등급경기도 양주시 장흥면 가마골로258번길 100경기도 양주시 장흥면 부곡리 79-10번지 송추효요양병원1152137.741513126.982537
241안산시안산시립노인전문병원요양병원2등급경기도 안산시 상록구 차돌배기로 24경기도 안산시 상록구 사동 1586번지1558537.299679126.846119
242안성시안성요양병원요양병원2등급경기도 안성시 안성맞춤대로 1079경기도 안성시 연지동 146-3번지1758037.00987127.269999
243화성시연세나은요양병원요양병원2등급경기도 화성시 팔탄면 버들로 1576경기도 화성시 팔탄면 월문리 229번지 연세나은병원 1576호1857737.114935126.873835
244광주시위더스요양병원요양병원2등급경기도 광주시 초월읍 경충대로 974-43경기도 광주시 초월읍 산이리 110-8번지1279937.367389127.310946
245시흥시의료법인 소애의료재단 한울노인요양병원요양병원2등급경기도 시흥시 정왕대로 74경기도 시흥시 정왕동 1861-7번지1504037.353452126.724712
246시흥시의료법인석경의료재단 센트럴요양병원요양병원2등급경기도 시흥시 공단1대로 237경기도 시흥시 정왕동 1366-11번지 제B동 3층,4층,5층,6층일부,7층1507937.336666126.728452
247의정부시의정부민락요양병원요양병원2등급경기도 의정부시 오목로225번길 115경기도 의정부시 민락동 808번지 4~8층1181337.745927127.09464
248의정부시의정부요양병원요양병원2등급경기도 의정부시 체육로 113-18경기도 의정부시 녹양동 321-3번지1160137.757427127.022228
249고양시일산현대요양병원요양병원2등급경기도 고양시 일산동구 무궁화로 346경기도 고양시 일산동구 풍동 218-7번지 지하1~2층,1~3층1030237.676547126.798044