Overview

Dataset statistics

Number of variables9
Number of observations171
Missing cells8
Missing cells (%)0.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.7 KiB
Average record size in memory75.8 B

Variable types

Categorical3
Text3
Numeric3

Dataset

Description병원평가정보(질병-혈액투석) 현황
Author건강보험심사평가원
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=TXYPXBYLJ8BOFBLZA4CJ21444711&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 6 (3.5%) missing valuesMissing
소재지지번주소 has unique valuesUnique

Reproduction

Analysis started2023-12-10 21:13:04.741400
Analysis finished2023-12-10 21:13:06.280578
Duration1.54 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Categorical

HIGH CORRELATION 

Distinct28
Distinct (%)16.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
부천시
16 
성남시
14 
고양시
14 
수원시
14 
안산시
12 
Other values (23)
101 

Length

Max length4
Median length3
Mean length3.0877193
Min length3

Unique

Unique3 ?
Unique (%)1.8%

Sample

1st row수원시
2nd row의정부시
3rd row광명시
4th row고양시
5th row남양주시

Common Values

ValueCountFrequency (%)
부천시 16
 
9.4%
성남시 14
 
8.2%
고양시 14
 
8.2%
수원시 14
 
8.2%
안산시 12
 
7.0%
안양시 12
 
7.0%
평택시 10
 
5.8%
용인시 9
 
5.3%
의정부시 7
 
4.1%
화성시 6
 
3.5%
Other values (18) 57
33.3%

Length

2023-12-11T06:13:06.343938image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
부천시 16
 
9.4%
고양시 14
 
8.2%
수원시 14
 
8.2%
성남시 14
 
8.2%
안산시 12
 
7.0%
안양시 12
 
7.0%
평택시 10
 
5.8%
용인시 9
 
5.3%
의정부시 7
 
4.1%
화성시 6
 
3.5%
Other values (18) 57
33.3%

기관명
Text

Distinct170
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T06:13:06.552821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length9.5672515
Min length4

Characters and Unicode

Total characters1636
Distinct characters220
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique169 ?
Unique (%)98.8%

Sample

1st row가톨릭대학교 성빈센트병원
2nd row가톨릭대학교의정부성모병원
3rd row광명성애병원
4th row동국대학교일산불교병원
5th row별내우리내과의원
ValueCountFrequency (%)
의료법인 11
 
5.0%
열린의료재단 5
 
2.3%
의 4
 
1.8%
효산의료재단 2
 
0.9%
양진의료재단 2
 
0.9%
한결내과의원 2
 
0.9%
경기요양병원 1
 
0.5%
조암성모의원 1
 
0.5%
근로복지공단안산병원 1
 
0.5%
대아의료재단한도병원 1
 
0.5%
Other values (190) 190
86.4%
2023-12-11T06:13:06.974922image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 180
 
11.0%
의 174
 
10.6%
병 77
 
4.7%
내 75
 
4.6%
과 75
 
4.6%
료 69
 
4.2%
49
 
3.0%
인 44
 
2.7%
단 43
 
2.6%
재 42
 
2.6%
Other values (210) 808
49.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1568
95.8%
Space Separator 49
 
3.0%
Open Punctuation 8
 
0.5%
Close Punctuation 8
 
0.5%
Decimal Number 2
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 180
 
11.5%
의 174
 
11.1%
병 77
 
4.9%
내 75
 
4.8%
과 75
 
4.8%
료 69
 
4.4%
인 44
 
2.8%
단 43
 
2.7%
재 42
 
2.7%
성 28
 
1.8%
Other values (204) 761
48.5%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Space Separator
ValueCountFrequency (%)
49
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1568
95.8%
Common 67
 
4.1%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 180
 
11.5%
의 174
 
11.1%
병 77
 
4.9%
내 75
 
4.8%
과 75
 
4.8%
료 69
 
4.4%
인 44
 
2.8%
단 43
 
2.7%
재 42
 
2.7%
성 28
 
1.8%
Other values (204) 761
48.5%
Common
ValueCountFrequency (%)
49
73.1%
( 8
 
11.9%
) 8
 
11.9%
1 1
 
1.5%
2 1
 
1.5%
Latin
ValueCountFrequency (%)
C 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1568
95.8%
ASCII 68
 
4.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 180
 
11.5%
의 174
 
11.1%
병 77
 
4.9%
내 75
 
4.8%
과 75
 
4.8%
료 69
 
4.4%
인 44
 
2.8%
단 43
 
2.7%
재 42
 
2.7%
성 28
 
1.8%
Other values (204) 761
48.5%
ASCII
ValueCountFrequency (%)
49
72.1%
( 8
 
11.8%
) 8
 
11.8%
C 1
 
1.5%
1 1
 
1.5%
2 1
 
1.5%

평가내역
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
혈액투석
171 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
혈액투석 171
100.0%

Length

2023-12-11T06:13:07.111797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:13:07.209150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
혈액투석 171
100.0%

평가등급
Categorical

Distinct6
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2등급
68 
3등급
42 
1등급
20 
등급제외
16 
5등급
14 

Length

Max length4
Median length3
Mean length3.0935673
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
2등급 68
39.8%
3등급 42
24.6%
1등급 20
 
11.7%
등급제외 16
 
9.4%
5등급 14
 
8.2%
4등급 11
 
6.4%

Length

2023-12-11T06:13:07.312490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T06:13:07.427801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2등급 68
39.8%
3등급 42
24.6%
1등급 20
 
11.7%
등급제외 16
 
9.4%
5등급 14
 
8.2%
4등급 11
 
6.4%

소재지도로명주소
Text

MISSING 

Distinct165
Distinct (%)100.0%
Missing6
Missing (%)3.5%
Memory size1.5 KiB
2023-12-11T06:13:07.732740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length23
Mean length18.127273
Min length13

Characters and Unicode

Total characters2991
Distinct characters168
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

Unique165 ?
Unique (%)100.0%

Sample

1st row경기도 수원시 팔달구 중부대로 93
2nd row경기도 의정부시 천보로 271
3rd row경기도 광명시 디지털로 36
4th row경기도 고양시 일산동구 동국로 27
5th row경기도 남양주시 순화궁로 116
ValueCountFrequency (%)
경기도 165
 
22.1%
부천시 16
 
2.1%
성남시 14
 
1.9%
수원시 14
 
1.9%
고양시 14
 
1.9%
안양시 12
 
1.6%
안산시 11
 
1.5%
평택시 10
 
1.3%
용인시 9
 
1.2%
중앙로 8
 
1.1%
Other values (317) 473
63.4%
2023-12-11T06:13:08.141305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
581
19.4%
경 176
 
5.9%
도 168
 
5.6%
기 168
 
5.6%
시 168
 
5.6%
로 159
 
5.3%
1 102
 
3.4%
구 83
 
2.8%
2 83
 
2.8%
3 66
 
2.2%
Other values (158) 1237
41.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1883
63.0%
Space Separator 581
 
19.4%
Decimal Number 515
 
17.2%
Dash Punctuation 12
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 176
 
9.3%
도 168
 
8.9%
기 168
 
8.9%
시 168
 
8.9%
로 159
 
8.4%
구 83
 
4.4%
안 49
 
2.6%
양 41
 
2.2%
산 36
 
1.9%
길 35
 
1.9%
Other values (146) 800
42.5%
Decimal Number
ValueCountFrequency (%)
1 102
19.8%
2 83
16.1%
3 66
12.8%
6 48
9.3%
8 45
8.7%
5 40
 
7.8%
9 37
 
7.2%
0 35
 
6.8%
7 31
 
6.0%
4 28
 
5.4%
Space Separator
ValueCountFrequency (%)
581
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1883
63.0%
Common 1108
37.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 176
 
9.3%
도 168
 
8.9%
기 168
 
8.9%
시 168
 
8.9%
로 159
 
8.4%
구 83
 
4.4%
안 49
 
2.6%
양 41
 
2.2%
산 36
 
1.9%
길 35
 
1.9%
Other values (146) 800
42.5%
Common
ValueCountFrequency (%)
581
52.4%
1 102
 
9.2%
2 83
 
7.5%
3 66
 
6.0%
6 48
 
4.3%
8 45
 
4.1%
5 40
 
3.6%
9 37
 
3.3%
0 35
 
3.2%
7 31
 
2.8%
Other values (2) 40
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1883
63.0%
ASCII 1108
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
581
52.4%
1 102
 
9.2%
2 83
 
7.5%
3 66
 
6.0%
6 48
 
4.3%
8 45
 
4.1%
5 40
 
3.6%
9 37
 
3.3%
0 35
 
3.2%
7 31
 
2.8%
Other values (2) 40
 
3.6%
Hangul
ValueCountFrequency (%)
경 176
 
9.3%
도 168
 
8.9%
기 168
 
8.9%
시 168
 
8.9%
로 159
 
8.4%
구 83
 
4.4%
안 49
 
2.6%
양 41
 
2.2%
산 36
 
1.9%
길 35
 
1.9%
Other values (146) 800
42.5%

소재지지번주소
Text

UNIQUE 

Distinct171
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-11T06:13:08.409934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length76
Median length40
Mean length28.397661
Min length16

Characters and Unicode

Total characters4856
Distinct characters253
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

Unique171 ?
Unique (%)100.0%

Sample

1st row경기도 수원시 팔달구 지동 93-6번지
2nd row경기도 의정부시 금오동 65-1번지 의정부성모병원
3rd row경기도 광명시 철산동 389번지 광명성애병원
4th row경기도 고양시 일산동구 식사동 814번지 동국대학교일산병원
5th row경기도 남양주시 별내동 998번지 남양주 별내 노블레스 3층 307,308,309,310호
ValueCountFrequency (%)
경기도 171
 
17.3%
부천시 16
 
1.6%
성남시 14
 
1.4%
수원시 14
 
1.4%
고양시 14
 
1.4%
안양시 13
 
1.3%
4층 13
 
1.3%
안산시 12
 
1.2%
평택시 10
 
1.0%
용인시 9
 
0.9%
Other values (504) 701
71.0%
2023-12-11T06:13:08.892958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
816
 
16.8%
지 190
 
3.9%
1 185
 
3.8%
동 180
 
3.7%
시 177
 
3.6%
기 175
 
3.6%
도 175
 
3.6%
경 174
 
3.6%
번 172
 
3.5%
0 128
 
2.6%
Other values (243) 2484
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2800
57.7%
Decimal Number 1012
 
20.8%
Space Separator 816
 
16.8%
Dash Punctuation 128
 
2.6%
Other Punctuation 69
 
1.4%
Math Symbol 17
 
0.4%
Uppercase Letter 8
 
0.2%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 190
 
6.8%
동 180
 
6.4%
시 177
 
6.3%
기 175
 
6.2%
도 175
 
6.2%
경 174
 
6.2%
번 172
 
6.1%
구 83
 
3.0%
층 71
 
2.5%
안 59
 
2.1%
Other values (218) 1344
48.0%
Decimal Number
ValueCountFrequency (%)
1 185
18.3%
0 128
12.6%
3 116
11.5%
5 114
11.3%
2 110
10.9%
4 106
10.5%
6 81
8.0%
8 59
 
5.8%
7 59
 
5.8%
9 54
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
C 3
37.5%
B 1
 
12.5%
G 1
 
12.5%
S 1
 
12.5%
R 1
 
12.5%
A 1
 
12.5%
Other Punctuation
ValueCountFrequency (%)
, 64
92.8%
& 2
 
2.9%
. 2
 
2.9%
/ 1
 
1.4%
Space Separator
ValueCountFrequency (%)
816
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 128
100.0%
Math Symbol
ValueCountFrequency (%)
~ 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2800
57.7%
Common 2048
42.2%
Latin 8
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 190
 
6.8%
동 180
 
6.4%
시 177
 
6.3%
기 175
 
6.2%
도 175
 
6.2%
경 174
 
6.2%
번 172
 
6.1%
구 83
 
3.0%
층 71
 
2.5%
안 59
 
2.1%
Other values (218) 1344
48.0%
Common
ValueCountFrequency (%)
816
39.8%
1 185
 
9.0%
0 128
 
6.2%
- 128
 
6.2%
3 116
 
5.7%
5 114
 
5.6%
2 110
 
5.4%
4 106
 
5.2%
6 81
 
4.0%
, 64
 
3.1%
Other values (9) 200
 
9.8%
Latin
ValueCountFrequency (%)
C 3
37.5%
B 1
 
12.5%
G 1
 
12.5%
S 1
 
12.5%
R 1
 
12.5%
A 1
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2800
57.7%
ASCII 2056
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
816
39.7%
1 185
 
9.0%
0 128
 
6.2%
- 128
 
6.2%
3 116
 
5.6%
5 114
 
5.5%
2 110
 
5.4%
4 106
 
5.2%
6 81
 
3.9%
, 64
 
3.1%
Other values (15) 208
 
10.1%
Hangul
ValueCountFrequency (%)
지 190
 
6.8%
동 180
 
6.4%
시 177
 
6.3%
기 175
 
6.2%
도 175
 
6.2%
경 174
 
6.2%
번 172
 
6.1%
구 83
 
3.0%
층 71
 
2.5%
안 59
 
2.1%
Other values (218) 1344
48.0%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct160
Distinct (%)93.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14286.041
Minimum10019
Maximum18567
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T06:13:09.085244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10019
5-th percentile10377
Q112089.5
median14483
Q316465.5
95-th percentile18027.5
Maximum18567
Range8548
Interquartile range (IQR)4376

Descriptive statistics

Standard deviation2463.3212
Coefficient of variation (CV)0.17242854
Kurtosis-1.0793735
Mean14286.041
Median Absolute Deviation (MAD)2016
Skewness-0.069701586
Sum2442913
Variance6067951.3
MonotonicityNot monotonic
2023-12-11T06:13:09.242684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
11923 3
 
1.8%
14548 2
 
1.2%
18398 2
 
1.2%
14030 2
 
1.2%
15865 2
 
1.2%
12756 2
 
1.2%
17909 2
 
1.2%
17363 2
 
1.2%
13618 2
 
1.2%
11174 2
 
1.2%
Other values (150) 150
87.7%
ValueCountFrequency (%)
10019 1
0.6%
10077 1
0.6%
10086 1
0.6%
10099 1
0.6%
10117 1
0.6%
10302 1
0.6%
10326 1
0.6%
10338 1
0.6%
10374 1
0.6%
10380 1
0.6%
ValueCountFrequency (%)
18567 1
0.6%
18537 1
0.6%
18450 1
0.6%
18401 1
0.6%
18398 2
1.2%
18144 1
0.6%
18143 1
0.6%
18119 1
0.6%
17936 1
0.6%
17909 2
1.2%

WGS84위도
Real number (ℝ)

HIGH CORRELATION 

Distinct170
Distinct (%)100.0%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean37.424308
Minimum36.98405
Maximum37.911037
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T06:13:09.367011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.98405
5-th percentile37.034686
Q137.281844
median37.399872
Q337.601456
95-th percentile37.750634
Maximum37.911037
Range0.92698761
Interquartile range (IQR)0.31961197

Descriptive statistics

Standard deviation0.20814532
Coefficient of variation (CV)0.0055617681
Kurtosis-0.3845285
Mean37.424308
Median Absolute Deviation (MAD)0.12225189
Skewness0.034194119
Sum6362.1324
Variance0.043324475
MonotonicityNot monotonic
2023-12-11T06:13:09.725193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.2779105554 1
 
0.6%
37.7461588031 1
 
0.6%
37.3388707419 1
 
0.6%
37.4398522373 1
 
0.6%
37.7440613432 1
 
0.6%
37.082282082 1
 
0.6%
37.0843692624 1
 
0.6%
37.2811475666 1
 
0.6%
37.4882455534 1
 
0.6%
37.3504777432 1
 
0.6%
Other values (160) 160
93.6%
ValueCountFrequency (%)
36.9840497212 1
0.6%
36.9905649024 1
0.6%
36.9919640634 1
0.6%
36.9919683829 1
0.6%
36.9930565731 1
0.6%
37.0052394653 1
0.6%
37.0083742374 1
0.6%
37.0150965847 1
0.6%
37.0166923126 1
0.6%
37.0566776288 1
0.6%
ValueCountFrequency (%)
37.9110373304 1
0.6%
37.8963969379 1
0.6%
37.8914712335 1
0.6%
37.8310061588 1
0.6%
37.8274877024 1
0.6%
37.7648959643 1
0.6%
37.7585227082 1
0.6%
37.7528253703 1
0.6%
37.7522444291 1
0.6%
37.7486653842 1
0.6%

WGS84경도
Real number (ℝ)

HIGH CORRELATION 

Distinct170
Distinct (%)100.0%
Missing1
Missing (%)0.6%
Infinite0
Infinite (%)0.0%
Mean126.99495
Minimum126.59828
Maximum127.63737
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T06:13:09.851437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.59828
5-th percentile126.75169
Q1126.81785
median127.02436
Q3127.121
95-th percentile127.26808
Maximum127.63737
Range1.0390912
Interquartile range (IQR)0.30314743

Descriptive statistics

Standard deviation0.19538111
Coefficient of variation (CV)0.0015384951
Kurtosis0.76583824
Mean126.99495
Median Absolute Deviation (MAD)0.13486013
Skewness0.68865443
Sum21589.141
Variance0.038173778
MonotonicityNot monotonic
2023-12-11T06:13:09.985389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0279830169 1
 
0.6%
127.0939581319 1
 
0.6%
127.1093919547 1
 
0.6%
127.1290120515 1
 
0.6%
127.0523701762 1
 
0.6%
127.0570449463 1
 
0.6%
126.8184946373 1
 
0.6%
127.4475224635 1
 
0.6%
126.7839507532 1
 
0.6%
126.9441910044 1
 
0.6%
Other values (160) 160
93.6%
ValueCountFrequency (%)
126.5982817262 1
0.6%
126.660255538 1
0.6%
126.6800072733 1
0.6%
126.7105517913 1
0.6%
126.7224331558 1
0.6%
126.7284520798 1
0.6%
126.7458472261 1
0.6%
126.7503817665 1
0.6%
126.7510895506 1
0.6%
126.7524263231 1
0.6%
ValueCountFrequency (%)
127.6373729111 1
0.6%
127.6319470185 1
0.6%
127.5892647695 1
0.6%
127.5611511576 1
0.6%
127.4475224635 1
0.6%
127.4473625947 1
0.6%
127.4368203226 1
0.6%
127.3071906359 1
0.6%
127.2691348493 1
0.6%
127.266797905 1
0.6%

Interactions

2023-12-11T06:13:05.722789image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:13:05.240366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:13:05.460229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:13:05.802197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:13:05.311646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:13:05.533970image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:13:05.874830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:13:05.384750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T06:13:05.616514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T06:13:10.085313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명평가등급소재지우편번호WGS84위도WGS84경도
시군명1.0000.2440.9910.9740.988
평가등급0.2441.0000.2520.2920.183
소재지우편번호0.9910.2521.0000.9390.768
WGS84위도0.9740.2920.9391.0000.647
WGS84경도0.9880.1830.7680.6471.000
2023-12-11T06:13:10.192806image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
평가등급시군명
평가등급1.0000.099
시군명0.0991.000
2023-12-11T06:13:10.284774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도시군명평가등급
소재지우편번호1.000-0.8970.1800.8830.127
WGS84위도-0.8971.000-0.2780.8010.155
WGS84경도0.180-0.2781.0000.7840.089
시군명0.8830.8010.7841.0000.099
평가등급0.1270.1550.0890.0991.000

Missing values

2023-12-11T06:13:05.992955image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T06:13:06.122447image/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.
2023-12-11T06:13:06.219220image/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
0수원시가톨릭대학교 성빈센트병원혈액투석1등급경기도 수원시 팔달구 중부대로 93경기도 수원시 팔달구 지동 93-6번지1624737.277911127.027983
1의정부시가톨릭대학교의정부성모병원혈액투석1등급경기도 의정부시 천보로 271경기도 의정부시 금오동 65-1번지 의정부성모병원1176537.758523127.077929
2광명시광명성애병원혈액투석1등급경기도 광명시 디지털로 36경기도 광명시 철산동 389번지 광명성애병원1424137.473663126.87133
3고양시동국대학교일산불교병원혈액투석1등급경기도 고양시 일산동구 동국로 27경기도 고양시 일산동구 식사동 814번지 동국대학교일산병원1032637.676439126.805563
4남양주시별내우리내과의원혈액투석1등급경기도 남양주시 순화궁로 116경기도 남양주시 별내동 998번지 남양주 별내 노블레스 3층 307,308,309,310호1211337.643056127.12118
5부천시순천향대학교부속부천병원혈액투석1등급경기도 부천시 조마루로 170경기도 부천시 중동 1174번지1458437.498369126.762111
6고양시연세선내과의원혈액투석1등급경기도 고양시 덕양구 화중로 76경기도 고양시 덕양구 화정동 970-1번지 대감빌딩 303,305,306호1050037.633935126.831131
7군포시원광대학교 산본병원혈액투석1등급경기도 군포시 산본로 321경기도 군포시 산본동 1142번지1586537.359414126.933601
8고양시의료법인명지의료재단명지병원혈액투석1등급경기도 고양시 덕양구 화수로14번길 55경기도 고양시 덕양구 화정동 697-1번지1047537.642475126.831745
9용인시한결내과의원혈액투석1등급경기도 용인시 기흥구 신갈로58번길 17경기도 용인시 기흥구 신갈동 53-12번지1696937.272577127.107592
시군명기관명평가내역평가등급소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
161남양주시태암내과의원혈액투석3등급경기도 남양주시 늘을1로16번길 29경기도 남양주시 호평동 638-1번지 늘봄타워 5층1214937.654084127.243335
162포천시한성내과의원혈액투석3등급경기도 포천시 소흘읍 솔모루로 114경기도 포천시 소흘읍 송우리 103-1번지1117437.831006127.149256
163안양시허브내과의원혈액투석3등급경기도 안양시 동안구 평촌대로227번길 30경기도 안양시 동안구 호계동 1042-2번지 더허브1407237.391436126.953819
164김포시김기택내과의원혈액투석4등급경기도 김포시 김포한강11로 139-33경기도 김포시 운양동 1432-5번지 C&C 빌딩 5~7층1007737.645483126.680007
165용인시더맑은의원혈액투석4등급경기도 용인시 처인구 금령로 116경기도 용인시 처인구 김량장동 60-1번지 용인타워 301,302,502,503호1705137.235227127.209238
166이천시삼성명인내과의원혈액투석4등급경기도 이천시 장호원읍 장감로 85경기도 이천시 장호원읍 장호원리 40-1번지 용천빌딩 2,3층1741837.117741127.631947
167수원시수원중앙병원혈액투석4등급경기도 수원시 권선구 권선로 654경기도 수원시 권선구 권선동 967-1번지1656537.259987127.022592
168양평군양평효노인전문병원혈액투석4등급경기도 양평군 용문면 다문북길 22-2경기도 양평군 용문면 다문리 702-3번지1252137.482107127.589265
169수원시의료법인경기의료재단동수원삼성메디컬의원혈액투석4등급경기도 수원시 팔달구 중부대로223번길 61경기도 수원시 팔달구 우만동 30-2번지1649637.278557127.040996
170고양시고양복지의료소비자생활협동조합꽃보다아름다운의원혈액투석5등급경기도 고양시 일산동구 고봉로 278경기도 고양시 일산동구 중산동 1662-8번지 성창빌딩 2~3층1033837.684097126.778125