Overview

Dataset statistics

Number of variables9
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory78.9 B

Variable types

Text4
Categorical2
Numeric3

Dataset

Description병원평가정보(질병-급성심근경색증) 현황
Author건강보험심사평가원
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=ER08K74P4ICO6I6EQABR21381216&infSeq=1

Alerts

평가내역 has constant value ""Constant
소재지우편번호 is highly overall correlated with WGS84위도High correlation
WGS84위도 is highly overall correlated with 소재지우편번호High correlation
기관명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
소재지지번주소 has unique valuesUnique
소재지우편번호 has unique valuesUnique
WGS84위도 has unique valuesUnique
WGS84경도 has unique valuesUnique

Reproduction

Analysis started2023-12-10 22:23:16.200971
Analysis finished2023-12-10 22:23:17.448157
Duration1.25 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군명
Text

Distinct19
Distinct (%)55.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-11T07:23:17.546415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0882353
Min length3

Characters and Unicode

Total characters105
Distinct characters29
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique11 ?
Unique (%)32.4%

Sample

1st row수원시
2nd row의정부시
3rd row수원시
4th row포천시
5th row광명시
ValueCountFrequency (%)
수원시 4
11.8%
고양시 4
11.8%
안산시 3
 
8.8%
부천시 3
 
8.8%
성남시 3
 
8.8%
안양시 2
 
5.9%
남양주시 2
 
5.9%
용인시 2
 
5.9%
김포시 1
 
2.9%
화성시 1
 
2.9%
Other values (9) 9
26.5%
2023-12-11T07:23:17.811267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 35
33.3%
양 8
 
7.6%
남 5
 
4.8%
안 5
 
4.8%
천 4
 
3.8%
원 4
 
3.8%
성 4
 
3.8%
수 4
 
3.8%
부 4
 
3.8%
산 4
 
3.8%
Other values (19) 28
26.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 105
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 35
33.3%
양 8
 
7.6%
남 5
 
4.8%
안 5
 
4.8%
천 4
 
3.8%
원 4
 
3.8%
성 4
 
3.8%
수 4
 
3.8%
부 4
 
3.8%
산 4
 
3.8%
Other values (19) 28
26.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 105
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 35
33.3%
양 8
 
7.6%
남 5
 
4.8%
안 5
 
4.8%
천 4
 
3.8%
원 4
 
3.8%
성 4
 
3.8%
수 4
 
3.8%
부 4
 
3.8%
산 4
 
3.8%
Other values (19) 28
26.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 105
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 35
33.3%
양 8
 
7.6%
남 5
 
4.8%
안 5
 
4.8%
천 4
 
3.8%
원 4
 
3.8%
성 4
 
3.8%
수 4
 
3.8%
부 4
 
3.8%
산 4
 
3.8%
Other values (19) 28
26.7%

기관명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-11T07:23:17.997080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13
Mean length10.970588
Min length4

Characters and Unicode

Total characters373
Distinct characters92
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

Unique34 ?
Unique (%)100.0%

Sample

1st row가톨릭대학교 성빈센트병원
2nd row가톨릭대학교의정부성모병원
3rd row경기도의료원 수원병원
4th row경기도의료원포천병원
5th row광명성애병원
ValueCountFrequency (%)
의료법인 2
 
4.7%
가톨릭대학교 1
 
2.3%
가톨릭대학교의정부성모병원 1
 
2.3%
다보스병원 1
 
2.3%
가톨릭대학교부천성모병원 1
 
2.3%
한양대학교구리병원 1
 
2.3%
한림대학교동탄성심병원 1
 
2.3%
인제대학교일산백병원 1
 
2.3%
의료법인우리의료재단김포우리병원 1
 
2.3%
의료법인명지의료재단명지병원 1
 
2.3%
Other values (32) 32
74.4%
2023-12-11T07:23:18.339684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 42
 
11.3%
병 34
 
9.1%
의 24
 
6.4%
대 19
 
5.1%
료 19
 
5.1%
학 17
 
4.6%
교 15
 
4.0%
단 12
 
3.2%
재 10
 
2.7%
9
 
2.4%
Other values (82) 172
46.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 362
97.1%
Space Separator 9
 
2.4%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 42
 
11.6%
병 34
 
9.4%
의 24
 
6.6%
대 19
 
5.2%
료 19
 
5.2%
학 17
 
4.7%
교 15
 
4.1%
단 12
 
3.3%
재 10
 
2.8%
산 8
 
2.2%
Other values (79) 162
44.8%
Space Separator
ValueCountFrequency (%)
9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 362
97.1%
Common 11
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 42
 
11.6%
병 34
 
9.4%
의 24
 
6.6%
대 19
 
5.2%
료 19
 
5.2%
학 17
 
4.7%
교 15
 
4.1%
단 12
 
3.3%
재 10
 
2.8%
산 8
 
2.2%
Other values (79) 162
44.8%
Common
ValueCountFrequency (%)
9
81.8%
( 1
 
9.1%
) 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 362
97.1%
ASCII 11
 
2.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 42
 
11.6%
병 34
 
9.4%
의 24
 
6.6%
대 19
 
5.2%
료 19
 
5.2%
학 17
 
4.7%
교 15
 
4.1%
단 12
 
3.3%
재 10
 
2.8%
산 8
 
2.2%
Other values (79) 162
44.8%
ASCII
ValueCountFrequency (%)
9
81.8%
( 1
 
9.1%
) 1
 
9.1%

평가내역
Categorical

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
급성심근경색증
34 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
급성심근경색증 34
100.0%

Length

2023-12-11T07:23:18.451384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:23:18.535711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
급성심근경색증 34
100.0%

평가등급
Categorical

Distinct5
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Memory size404.0 B
1등급
13 
등급제외
11 
3등급
5 
2등급
4 
4등급
 
1

Length

Max length4
Median length3
Mean length3.3235294
Min length3

Unique

Unique1 ?
Unique (%)2.9%

Sample

1st row1등급
2nd row2등급
3rd row등급제외
4th row등급제외
5th row등급제외

Common Values

ValueCountFrequency (%)
1등급 13
38.2%
등급제외 11
32.4%
3등급 5
 
14.7%
2등급 4
 
11.8%
4등급 1
 
2.9%

Length

2023-12-11T07:23:18.616969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T07:23:18.714271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1등급 13
38.2%
등급제외 11
32.4%
3등급 5
 
14.7%
2등급 4
 
11.8%
4등급 1
 
2.9%

소재지도로명주소
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-11T07:23:18.943738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length18.647059
Min length14

Characters and Unicode

Total characters634
Distinct characters102
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

Unique34 ?
Unique (%)100.0%

Sample

1st row경기도 수원시 팔달구 중부대로 93
2nd row경기도 의정부시 천보로 271
3rd row경기도 수원시 장안구 수성로245번길 69
4th row경기도 포천시 포천로 1648
5th row경기도 광명시 디지털로 36
ValueCountFrequency (%)
경기도 34
 
21.8%
수원시 4
 
2.6%
고양시 4
 
2.6%
중부대로 3
 
1.9%
성남시 3
 
1.9%
안산시 3
 
1.9%
단원구 3
 
1.9%
분당구 3
 
1.9%
부천시 3
 
1.9%
안양시 2
 
1.3%
Other values (87) 94
60.3%
2023-12-11T07:23:19.343498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
122
19.2%
경 35
 
5.5%
시 35
 
5.5%
기 35
 
5.5%
도 34
 
5.4%
로 33
 
5.2%
1 26
 
4.1%
구 20
 
3.2%
2 16
 
2.5%
0 11
 
1.7%
Other values (92) 267
42.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 402
63.4%
Space Separator 122
 
19.2%
Decimal Number 109
 
17.2%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
경 35
 
8.7%
시 35
 
8.7%
기 35
 
8.7%
도 34
 
8.5%
로 33
 
8.2%
구 20
 
5.0%
양 10
 
2.5%
길 9
 
2.2%
산 9
 
2.2%
원 9
 
2.2%
Other values (80) 173
43.0%
Decimal Number
ValueCountFrequency (%)
1 26
23.9%
2 16
14.7%
0 11
10.1%
3 11
10.1%
7 11
10.1%
5 8
 
7.3%
8 8
 
7.3%
4 7
 
6.4%
6 6
 
5.5%
9 5
 
4.6%
Space Separator
ValueCountFrequency (%)
122
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 402
63.4%
Common 232
36.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
경 35
 
8.7%
시 35
 
8.7%
기 35
 
8.7%
도 34
 
8.5%
로 33
 
8.2%
구 20
 
5.0%
양 10
 
2.5%
길 9
 
2.2%
산 9
 
2.2%
원 9
 
2.2%
Other values (80) 173
43.0%
Common
ValueCountFrequency (%)
122
52.6%
1 26
 
11.2%
2 16
 
6.9%
0 11
 
4.7%
3 11
 
4.7%
7 11
 
4.7%
5 8
 
3.4%
8 8
 
3.4%
4 7
 
3.0%
6 6
 
2.6%
Other values (2) 6
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 402
63.4%
ASCII 232
36.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
122
52.6%
1 26
 
11.2%
2 16
 
6.9%
0 11
 
4.7%
3 11
 
4.7%
7 11
 
4.7%
5 8
 
3.4%
8 8
 
3.4%
4 7
 
3.0%
6 6
 
2.6%
Other values (2) 6
 
2.6%
Hangul
ValueCountFrequency (%)
경 35
 
8.7%
시 35
 
8.7%
기 35
 
8.7%
도 34
 
8.5%
로 33
 
8.2%
구 20
 
5.0%
양 10
 
2.5%
길 9
 
2.2%
산 9
 
2.2%
원 9
 
2.2%
Other values (80) 173
43.0%

소재지지번주소
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-11T07:23:19.602199image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length29
Mean length23.029412
Min length15

Characters and Unicode

Total characters783
Distinct characters109
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

Unique34 ?
Unique (%)100.0%

Sample

1st row경기도 수원시 팔달구 지동 93-6번지
2nd row경기도 의정부시 금오동 65-1번지
3rd row경기도 수원시 장안구 정자동 886-9번지
4th row경기도 포천시 신읍동 243-1번지
5th row경기도 광명시 철산동 389번지 광명성애병원
ValueCountFrequency (%)
경기도 34
 
20.2%
수원시 4
 
2.4%
고양시 4
 
2.4%
성남시 3
 
1.8%
단원구 3
 
1.8%
안산시 3
 
1.8%
부천시 3
 
1.8%
분당구 3
 
1.8%
남양주시 2
 
1.2%
일산동구 2
 
1.2%
Other values (104) 107
63.7%
2023-12-11T07:23:20.012551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
134
 
17.1%
동 37
 
4.7%
지 37
 
4.7%
시 35
 
4.5%
기 35
 
4.5%
번 34
 
4.3%
경 34
 
4.3%
도 34
 
4.3%
1 29
 
3.7%
구 20
 
2.6%
Other values (99) 354
45.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 502
64.1%
Space Separator 134
 
17.1%
Decimal Number 129
 
16.5%
Dash Punctuation 18
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 37
 
7.4%
지 37
 
7.4%
시 35
 
7.0%
기 35
 
7.0%
번 34
 
6.8%
경 34
 
6.8%
도 34
 
6.8%
구 20
 
4.0%
원 18
 
3.6%
양 11
 
2.2%
Other values (87) 207
41.2%
Decimal Number
ValueCountFrequency (%)
1 29
22.5%
6 16
12.4%
2 14
10.9%
3 12
9.3%
4 11
 
8.5%
5 11
 
8.5%
8 10
 
7.8%
7 9
 
7.0%
9 9
 
7.0%
0 8
 
6.2%
Space Separator
ValueCountFrequency (%)
134
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 502
64.1%
Common 281
35.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 37
 
7.4%
지 37
 
7.4%
시 35
 
7.0%
기 35
 
7.0%
번 34
 
6.8%
경 34
 
6.8%
도 34
 
6.8%
구 20
 
4.0%
원 18
 
3.6%
양 11
 
2.2%
Other values (87) 207
41.2%
Common
ValueCountFrequency (%)
134
47.7%
1 29
 
10.3%
- 18
 
6.4%
6 16
 
5.7%
2 14
 
5.0%
3 12
 
4.3%
4 11
 
3.9%
5 11
 
3.9%
8 10
 
3.6%
7 9
 
3.2%
Other values (2) 17
 
6.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 502
64.1%
ASCII 281
35.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
134
47.7%
1 29
 
10.3%
- 18
 
6.4%
6 16
 
5.7%
2 14
 
5.0%
3 12
 
4.3%
4 11
 
3.9%
5 11
 
3.9%
8 10
 
3.6%
7 9
 
3.2%
Other values (2) 17
 
6.0%
Hangul
ValueCountFrequency (%)
동 37
 
7.4%
지 37
 
7.4%
시 35
 
7.0%
기 35
 
7.0%
번 34
 
6.8%
경 34
 
6.8%
도 34
 
6.8%
구 20
 
4.0%
원 18
 
3.6%
양 11
 
2.2%
Other values (87) 207
41.2%

소재지우편번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14112.971
Minimum10099
Maximum18450
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-11T07:23:20.142048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum10099
5-th percentile10361.1
Q111945.5
median14412.5
Q316151.5
95-th percentile17968.5
Maximum18450
Range8351
Interquartile range (IQR)4206

Descriptive statistics

Standard deviation2505.9118
Coefficient of variation (CV)0.1775609
Kurtosis-1.0940269
Mean14112.971
Median Absolute Deviation (MAD)2084
Skewness-0.11662757
Sum479841
Variance6279594
MonotonicityNot monotonic
2023-12-11T07:23:20.257356image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
16247 1
 
2.9%
18144 1
 
2.9%
10922 1
 
2.9%
15355 1
 
2.9%
10444 1
 
2.9%
15457 1
 
2.9%
13590 1
 
2.9%
13620 1
 
2.9%
16494 1
 
2.9%
14647 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
10099 1
2.9%
10326 1
2.9%
10380 1
2.9%
10444 1
2.9%
10475 1
2.9%
10922 1
2.9%
11142 1
2.9%
11765 1
2.9%
11923 1
2.9%
12013 1
2.9%
ValueCountFrequency (%)
18450 1
2.9%
18144 1
2.9%
17874 1
2.9%
17064 1
2.9%
17063 1
2.9%
16499 1
2.9%
16494 1
2.9%
16316 1
2.9%
16247 1
2.9%
15865 1
2.9%

WGS84위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.446854
Minimum36.990565
Maximum37.903093
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-11T07:23:20.413120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum36.990565
5-th percentile37.190172
Q137.293971
median37.392274
Q337.640106
95-th percentile37.756153
Maximum37.903093
Range0.91252859
Interquartile range (IQR)0.34613517

Descriptive statistics

Standard deviation0.20633517
Coefficient of variation (CV)0.0055100801
Kurtosis-0.43647228
Mean37.446854
Median Absolute Deviation (MAD)0.11423801
Skewness0.21049545
Sum1273.193
Variance0.042574201
MonotonicityNot monotonic
2023-12-11T07:23:20.526176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
37.2779105554 1
 
2.9%
37.1412846971 1
 
2.9%
37.7548777512 1
 
2.9%
37.3188593416 1
 
2.9%
37.6454752678 1
 
2.9%
37.3002233423 1
 
2.9%
37.3882075823 1
 
2.9%
37.3520167812 1
 
2.9%
37.2781610499 1
 
2.9%
37.4872746674 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
36.9905649024 1
2.9%
37.1412846971 1
2.9%
37.2164957291 1
2.9%
37.2315458776 1
2.9%
37.2735442921 1
2.9%
37.2779105554 1
2.9%
37.2781610499 1
2.9%
37.2793432963 1
2.9%
37.2918869067 1
2.9%
37.3002233423 1
2.9%
ValueCountFrequency (%)
37.9030934888 1
2.9%
37.7585227082 1
2.9%
37.7548777512 1
2.9%
37.7154360459 1
2.9%
37.6827278206 1
2.9%
37.6764385211 1
2.9%
37.6742710122 1
2.9%
37.6454752678 1
2.9%
37.6424745722 1
2.9%
37.6330010089 1
2.9%

WGS84경도
Real number (ℝ)

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.96331
Minimum126.71055
Maximum127.21142
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2023-12-11T07:23:20.661277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.71055
5-th percentile126.74271
Q1126.80608
median126.97916
Q3127.11817
95-th percentile127.20053
Maximum127.21142
Range0.50086457
Interquartile range (IQR)0.31209089

Descriptive statistics

Standard deviation0.16295318
Coefficient of variation (CV)0.0012834667
Kurtosis-1.5447305
Mean126.96331
Median Absolute Deviation (MAD)0.15038591
Skewness-0.016959932
Sum4316.7527
Variance0.02655374
MonotonicityNot monotonic
2023-12-11T07:23:20.794805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
127.0279830169 1
 
2.9%
127.0755950189 1
 
2.9%
126.7796405014 1
 
2.9%
126.8249943518 1
 
2.9%
126.7929631952 1
 
2.9%
126.813245795 1
 
2.9%
127.1217770322 1
 
2.9%
127.1244991912 1
 
2.9%
127.0343321487 1
 
2.9%
126.7933597441 1
 
2.9%
Other values (24) 24
70.6%
ValueCountFrequency (%)
126.7105517913 1
2.9%
126.7284520798 1
2.9%
126.7503817665 1
2.9%
126.7621105079 1
2.9%
126.7796405014 1
2.9%
126.7911902926 1
2.9%
126.7929631952 1
2.9%
126.7933597441 1
2.9%
126.805563051 1
2.9%
126.8076211068 1
2.9%
ValueCountFrequency (%)
127.2114163575 1
2.9%
127.20457392 1
2.9%
127.1983489735 1
2.9%
127.1799591601 1
2.9%
127.1325173047 1
2.9%
127.1258348309 1
2.9%
127.1244991912 1
2.9%
127.1217770322 1
2.9%
127.1204512355 1
2.9%
127.1113201212 1
2.9%

Interactions

2023-12-11T07:23:17.045438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:23:16.601861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:23:16.825882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:23:17.113346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:23:16.668652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:23:16.897978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:23:17.181805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:23:16.743225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T07:23:16.970604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T07:23:20.883894image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군명기관명평가등급소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
시군명1.0001.0000.6951.0001.0001.0000.9900.921
기관명1.0001.0001.0001.0001.0001.0001.0001.000
평가등급0.6951.0001.0001.0001.0000.0000.7740.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.000
소재지우편번호1.0001.0000.0001.0001.0001.0000.8130.708
WGS84위도0.9901.0000.7741.0001.0000.8131.0000.602
WGS84경도0.9211.0000.0001.0001.0000.7080.6021.000
2023-12-11T07:23:21.009449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지우편번호WGS84위도WGS84경도평가등급
소재지우편번호1.000-0.9120.2380.000
WGS84위도-0.9121.000-0.1880.381
WGS84경도0.238-0.1881.0000.000
평가등급0.0000.3810.0001.000

Missing values

2023-12-11T07:23:17.286585image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T07:23:17.404382image/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
0수원시가톨릭대학교 성빈센트병원급성심근경색증1등급경기도 수원시 팔달구 중부대로 93경기도 수원시 팔달구 지동 93-6번지1624737.277911127.027983
1의정부시가톨릭대학교의정부성모병원급성심근경색증2등급경기도 의정부시 천보로 271경기도 의정부시 금오동 65-1번지1176537.758523127.077929
2수원시경기도의료원 수원병원급성심근경색증등급제외경기도 수원시 장안구 수성로245번길 69경기도 수원시 장안구 정자동 886-9번지1631637.291887126.99634
3포천시경기도의료원포천병원급성심근경색증등급제외경기도 포천시 포천로 1648경기도 포천시 신읍동 243-1번지1114237.903093127.198349
4광명시광명성애병원급성심근경색증등급제외경기도 광명시 디지털로 36경기도 광명시 철산동 389번지 광명성애병원1424137.473663126.87133
5남양주시남양주 한양병원급성심근경색증2등급경기도 남양주시 오남읍 양지로 47-55경기도 남양주시 오남읍 오남리 570번지1204837.682728127.204574
6안산시대아의료재단한도병원급성심근경색증1등급경기도 안산시 단원구 선부광장로 103경기도 안산시 단원구 선부동 1071-1번지1536737.334055126.807621
7고양시동국대학교일산불교병원급성심근경색증3등급경기도 고양시 일산동구 동국로 27경기도 고양시 일산동구 식사동 814번지 동국대학교일산병원1032637.676439126.805563
8부천시순천향대학교부속부천병원급성심근경색증1등급경기도 부천시 조마루로 170경기도 부천시 중동 1174번지1458437.498369126.762111
9수원시아주대학교병원급성심근경색증1등급경기도 수원시 영통구 월드컵로 164경기도 수원시 영통구 원천동 산26-6번지1649937.279343127.046305
시군명기관명평가내역평가등급소재지도로명주소소재지지번주소소재지우편번호WGS84위도WGS84경도
24성남시대진의료재단 분당제생병원급성심근경색증등급제외경기도 성남시 분당구 서현로180번길 20경기도 성남시 분당구 서현동 255-2번지1359037.388208127.121777
25성남시분당서울대학교병원급성심근경색증1등급경기도 성남시 분당구 구미로173번길 82경기도 성남시 분당구 구미동 300번지 분당서울대학교병원1362037.352017127.124499
26오산시오산한국병원급성심근경색증4등급경기도 오산시 밀머리로1번길 16경기도 오산시 원동 560-70번지1814437.141285127.075595
27수원시의료법인 녹산의료재단동수원병원급성심근경색증3등급경기도 수원시 팔달구 중부대로 165경기도 수원시 팔달구 우만동 157-7번지1649437.278161127.034332
28고양시의료법인명지의료재단명지병원급성심근경색증1등급경기도 고양시 덕양구 화수로14번길 55경기도 고양시 덕양구 화정동 697-1번지1047537.642475126.831745
29김포시의료법인우리의료재단김포우리병원급성심근경색증3등급경기도 김포시 감암로 11경기도 김포시 걸포동 389-15번지 김포우리병원1009937.633001126.710552
30고양시인제대학교일산백병원급성심근경색증1등급경기도 고양시 일산서구 주화로 170경기도 고양시 일산서구 대화동 2240번지1038037.674271126.750382
31화성시한림대학교동탄성심병원급성심근경색증등급제외경기도 화성시 큰재봉길 7경기도 화성시 석우동 40번지1845037.216496127.079942
32구리시한양대학교구리병원급성심근경색증1등급경기도 구리시 경춘로 153경기도 구리시 교문동 249-1번지1192337.601188127.132517
33남양주시현대병원급성심근경색증등급제외경기도 남양주시 진접읍 봉현로 21경기도 남양주시 진접읍 장현리 663번지1201337.715436127.179959