Overview

Dataset statistics

Number of variables13
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory110.5 B

Variable types

Numeric1
Text3
Categorical9

Dataset

Description경기도 용인시 처인구의 관내 암검진기관 현황입니다. 병원명, 주소, 연락처, 병원구분, 휴일검진 등의 데이터를 제공합니다.※ 데이터기준일자 : 2024-04-12
Author경기도 용인시
URLhttps://www.data.go.kr/data/15050606/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
병원구분 is highly overall correlated with 폐암High correlation
위암 is highly overall correlated with 간암 and 2 other fieldsHigh correlation
간암 is highly overall correlated with 위암 and 2 other fieldsHigh correlation
대장암 is highly overall correlated with 위암 and 1 other fieldsHigh correlation
폐암 is highly overall correlated with 병원구분High correlation
일반검진 is highly overall correlated with 위암 and 1 other fieldsHigh correlation
폐암 is highly imbalanced (58.6%)Imbalance
휴일검진 is highly imbalanced (58.6%)Imbalance
번호 has unique valuesUnique
병원명 has unique valuesUnique
주소 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2024-04-21 01:15:16.093572
Analysis finished2024-04-21 01:15:18.577669
Duration2.48 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.5
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2024-04-21T10:15:18.640387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.15
Q16.75
median12.5
Q318.25
95-th percentile22.85
Maximum24
Range23
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation7.0710678
Coefficient of variation (CV)0.56568542
Kurtosis-1.2
Mean12.5
Median Absolute Deviation (MAD)6
Skewness0
Sum300
Variance50
MonotonicityStrictly increasing
2024-04-21T10:15:18.752344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 1
 
4.2%
14 1
 
4.2%
24 1
 
4.2%
23 1
 
4.2%
22 1
 
4.2%
21 1
 
4.2%
20 1
 
4.2%
19 1
 
4.2%
18 1
 
4.2%
17 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
1 1
4.2%
2 1
4.2%
3 1
4.2%
4 1
4.2%
5 1
4.2%
6 1
4.2%
7 1
4.2%
8 1
4.2%
9 1
4.2%
10 1
4.2%
ValueCountFrequency (%)
24 1
4.2%
23 1
4.2%
22 1
4.2%
21 1
4.2%
20 1
4.2%
19 1
4.2%
18 1
4.2%
17 1
4.2%
16 1
4.2%
15 1
4.2%

병원명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-04-21T10:15:18.930655image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length15
Mean length7.875
Min length4

Characters and Unicode

Total characters189
Distinct characters64
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

Unique24 ?
Unique (%)100.0%

Sample

1st row(의)영문의료재단 다보스병원
2nd row(의)효심의료재단 용인서울병원
3rd row금란산부인과의원
4th row김내과의원
5th row명주병원
ValueCountFrequency (%)
의)영문의료재단 1
 
3.8%
다보스병원 1
 
3.8%
조은손병원 1
 
3.8%
윤성욱내과의원 1
 
3.8%
용인한숲내과의원 1
 
3.8%
용인제일산부인과의원 1
 
3.8%
용인제일메디병원 1
 
3.8%
용인아산내과의원 1
 
3.8%
용인삼성내과의원 1
 
3.8%
연세행복내과의원 1
 
3.8%
Other values (16) 16
61.5%
2024-04-21T10:15:19.243409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 24
 
12.7%
의 23
 
12.2%
과 19
 
10.1%
내 15
 
7.9%
인 10
 
5.3%
용 6
 
3.2%
산 5
 
2.6%
병 5
 
2.6%
부 4
 
2.1%
세 4
 
2.1%
Other values (54) 74
39.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 183
96.8%
Open Punctuation 2
 
1.1%
Space Separator 2
 
1.1%
Close Punctuation 2
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 24
 
13.1%
의 23
 
12.6%
과 19
 
10.4%
내 15
 
8.2%
인 10
 
5.5%
용 6
 
3.3%
산 5
 
2.7%
병 5
 
2.7%
부 4
 
2.2%
세 4
 
2.2%
Other values (51) 68
37.2%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 183
96.8%
Common 6
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 24
 
13.1%
의 23
 
12.6%
과 19
 
10.4%
내 15
 
8.2%
인 10
 
5.5%
용 6
 
3.3%
산 5
 
2.7%
병 5
 
2.7%
부 4
 
2.2%
세 4
 
2.2%
Other values (51) 68
37.2%
Common
ValueCountFrequency (%)
( 2
33.3%
2
33.3%
) 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 183
96.8%
ASCII 6
 
3.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 24
 
13.1%
의 23
 
12.6%
과 19
 
10.4%
내 15
 
8.2%
인 10
 
5.5%
용 6
 
3.3%
산 5
 
2.7%
병 5
 
2.7%
부 4
 
2.2%
세 4
 
2.2%
Other values (51) 68
37.2%
ASCII
ValueCountFrequency (%)
( 2
33.3%
2
33.3%
) 2
33.3%

주소
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-04-21T10:15:19.453982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length37.5
Mean length32.416667
Min length23

Characters and Unicode

Total characters778
Distinct characters84
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

Unique24 ?
Unique (%)100.0%

Sample

1st row경기도 용인시 처인구 백옥대로1082번길 18 다보스종합병원 (김량장동)
2nd row경기도 용인시 처인구 고림로 81 (고림동)
3rd row경기도 용인시 처인구 금령로106번길 13-5 (김량장동)
4th row경기도 용인시 처인구 금령로71번길 16 204호 (김량장동, 대흥빌딩)
5th row경기도 용인시 처인구 금령로39번길 8-6 (김량장동)
ValueCountFrequency (%)
경기도 24
 
14.5%
처인구 24
 
14.5%
용인시 24
 
14.5%
김량장동 11
 
6.6%
금령로 4
 
2.4%
포곡읍 3
 
1.8%
2층 3
 
1.8%
4층 2
 
1.2%
백옥대로 2
 
1.2%
금령로71번길 2
 
1.2%
Other values (62) 67
40.4%
2024-04-21T10:15:19.809130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
143
 
18.4%
인 49
 
6.3%
1 30
 
3.9%
처 25
 
3.2%
경 24
 
3.1%
도 24
 
3.1%
용 24
 
3.1%
시 24
 
3.1%
구 24
 
3.1%
로 24
 
3.1%
Other values (74) 387
49.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 455
58.5%
Space Separator 143
 
18.4%
Decimal Number 126
 
16.2%
Close Punctuation 17
 
2.2%
Open Punctuation 17
 
2.2%
Other Punctuation 11
 
1.4%
Dash Punctuation 6
 
0.8%
Math Symbol 2
 
0.3%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 49
 
10.8%
처 25
 
5.5%
경 24
 
5.3%
도 24
 
5.3%
용 24
 
5.3%
시 24
 
5.3%
구 24
 
5.3%
로 24
 
5.3%
기 24
 
5.3%
동 17
 
3.7%
Other values (57) 196
43.1%
Decimal Number
ValueCountFrequency (%)
1 30
23.8%
2 16
12.7%
3 16
12.7%
0 16
12.7%
4 15
11.9%
6 11
 
8.7%
8 7
 
5.6%
9 5
 
4.0%
7 5
 
4.0%
5 5
 
4.0%
Space Separator
ValueCountFrequency (%)
143
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 455
58.5%
Common 322
41.4%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 49
 
10.8%
처 25
 
5.5%
경 24
 
5.3%
도 24
 
5.3%
용 24
 
5.3%
시 24
 
5.3%
구 24
 
5.3%
로 24
 
5.3%
기 24
 
5.3%
동 17
 
3.7%
Other values (57) 196
43.1%
Common
ValueCountFrequency (%)
143
44.4%
1 30
 
9.3%
) 17
 
5.3%
( 17
 
5.3%
2 16
 
5.0%
3 16
 
5.0%
0 16
 
5.0%
4 15
 
4.7%
, 11
 
3.4%
6 11
 
3.4%
Other values (6) 30
 
9.3%
Latin
ValueCountFrequency (%)
S 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 455
58.5%
ASCII 323
41.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
143
44.3%
1 30
 
9.3%
) 17
 
5.3%
( 17
 
5.3%
2 16
 
5.0%
3 16
 
5.0%
0 16
 
5.0%
4 15
 
4.6%
, 11
 
3.4%
6 11
 
3.4%
Other values (7) 31
 
9.6%
Hangul
ValueCountFrequency (%)
인 49
 
10.8%
처 25
 
5.5%
경 24
 
5.3%
도 24
 
5.3%
용 24
 
5.3%
시 24
 
5.3%
구 24
 
5.3%
로 24
 
5.3%
기 24
 
5.3%
동 17
 
3.7%
Other values (57) 196
43.1%

연락처
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-04-21T10:15:19.990675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.125
Min length12

Characters and Unicode

Total characters291
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row031-8021-2114
2nd row031-337-0114
3rd row031-335-1155
4th row031-322-8275
5th row031-1522-8119
ValueCountFrequency (%)
031-8021-2114 1
 
4.2%
031-337-0114 1
 
4.2%
031-321-8275 1
 
4.2%
031-333-7588 1
 
4.2%
031-322-7511 1
 
4.2%
031-8031-0200 1
 
4.2%
031-322-7582 1
 
4.2%
031-336-0066 1
 
4.2%
031-339-9068 1
 
4.2%
031-326-0799 1
 
4.2%
Other values (14) 14
58.3%
2024-04-21T10:15:20.293792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 65
22.3%
- 48
16.5%
1 47
16.2%
0 38
13.1%
2 26
 
8.9%
7 16
 
5.5%
5 16
 
5.5%
8 12
 
4.1%
9 11
 
3.8%
6 8
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 243
83.5%
Dash Punctuation 48
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 65
26.7%
1 47
19.3%
0 38
15.6%
2 26
 
10.7%
7 16
 
6.6%
5 16
 
6.6%
8 12
 
4.9%
9 11
 
4.5%
6 8
 
3.3%
4 4
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 48
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 291
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 65
22.3%
- 48
16.5%
1 47
16.2%
0 38
13.1%
2 26
 
8.9%
7 16
 
5.5%
5 16
 
5.5%
8 12
 
4.1%
9 11
 
3.8%
6 8
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 291
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 65
22.3%
- 48
16.5%
1 47
16.2%
0 38
13.1%
2 26
 
8.9%
7 16
 
5.5%
5 16
 
5.5%
8 12
 
4.1%
9 11
 
3.8%
6 8
 
2.7%

병원구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size324.0 B
의원
19 
종합병원
3 
병원
2 

Length

Max length4
Median length2
Mean length2.25
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row종합병원
2nd row종합병원
3rd row의원
4th row의원
5th row종합병원

Common Values

ValueCountFrequency (%)
의원 19
79.2%
종합병원 3
 
12.5%
병원 2
 
8.3%

Length

2024-04-21T10:15:20.425939image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:15:20.512568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 19
79.2%
종합병원 3
 
12.5%
병원 2
 
8.3%

위암
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
실시
20 
미실시
4 

Length

Max length3
Median length2
Mean length2.1666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row실시
2nd row실시
3rd row미실시
4th row실시
5th row실시

Common Values

ValueCountFrequency (%)
실시 20
83.3%
미실시 4
 
16.7%

Length

2024-04-21T10:15:20.605872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:15:20.705022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실시 20
83.3%
미실시 4
 
16.7%

간암
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
실시
20 
미실시
4 

Length

Max length3
Median length2
Mean length2.1666667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row실시
2nd row실시
3rd row미실시
4th row실시
5th row실시

Common Values

ValueCountFrequency (%)
실시 20
83.3%
미실시 4
 
16.7%

Length

2024-04-21T10:15:20.792542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:15:20.876522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실시 20
83.3%
미실시 4
 
16.7%

대장암
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
실시
17 
미실시
7 

Length

Max length3
Median length2
Mean length2.2916667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row실시
2nd row실시
3rd row미실시
4th row미실시
5th row실시

Common Values

ValueCountFrequency (%)
실시 17
70.8%
미실시 7
29.2%

Length

2024-04-21T10:15:20.968808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:15:21.053696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실시 17
70.8%
미실시 7
29.2%

유방암
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
미실시
14 
실시
10 

Length

Max length3
Median length3
Mean length2.5833333
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row실시
2nd row실시
3rd row미실시
4th row미실시
5th row실시

Common Values

ValueCountFrequency (%)
미실시 14
58.3%
실시 10
41.7%

Length

2024-04-21T10:15:21.143422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:15:21.247288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미실시 14
58.3%
실시 10
41.7%

폐암
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
미실시
22 
실시
 
2

Length

Max length3
Median length3
Mean length2.9166667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row실시
2nd row미실시
3rd row미실시
4th row미실시
5th row실시

Common Values

ValueCountFrequency (%)
미실시 22
91.7%
실시 2
 
8.3%

Length

2024-04-21T10:15:21.352159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:15:21.451974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미실시 22
91.7%
실시 2
 
8.3%

일반검진
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
실시
21 
미실시
3 

Length

Max length3
Median length2
Mean length2.125
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row실시
2nd row실시
3rd row미실시
4th row실시
5th row실시

Common Values

ValueCountFrequency (%)
실시 21
87.5%
미실시 3
 
12.5%

Length

2024-04-21T10:15:21.538198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:15:21.622153image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실시 21
87.5%
미실시 3
 
12.5%

휴일검진
Categorical

IMBALANCE 

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
미실시
22 
실시
 
2

Length

Max length3
Median length3
Mean length2.9166667
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미실시 22
91.7%
실시 2
 
8.3%

Length

2024-04-21T10:15:21.724692image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:15:21.813759image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미실시 22
91.7%
실시 2
 
8.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
2024-04-12
24 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-04-12
2nd row2024-04-12
3rd row2024-04-12
4th row2024-04-12
5th row2024-04-12

Common Values

ValueCountFrequency (%)
2024-04-12 24
100.0%

Length

2024-04-21T10:15:21.907499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:15:21.991484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-04-12 24
100.0%

Interactions

2024-04-21T10:15:18.152510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T10:15:22.052857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호병원명주소연락처병원구분위암간암대장암유방암폐암일반검진휴일검진
번호1.0001.0001.0001.0000.5060.0000.0000.0000.0000.0000.0000.464
병원명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
병원구분0.5061.0001.0001.0001.0000.0000.0000.1000.2280.5140.0000.000
위암0.0001.0001.0001.0000.0001.0000.9700.7580.0000.0000.8590.000
간암0.0001.0001.0001.0000.0000.9701.0000.7580.0000.0000.8590.000
대장암0.0001.0001.0001.0000.1000.7580.7581.0000.2640.0000.6010.000
유방암0.0001.0001.0001.0000.2280.0000.0000.2641.0000.0000.0000.000
폐암0.0001.0001.0001.0000.5140.0000.0000.0000.0001.0000.0000.000
일반검진0.0001.0001.0001.0000.0000.8590.8590.6010.0000.0001.0000.000
휴일검진0.4641.0001.0001.0000.0000.0000.0000.0000.0000.0000.0001.000
2024-04-21T10:15:22.205600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대장암유방암간암병원구분휴일검진일반검진폐암위암
대장암1.0000.1650.5470.1500.0000.4080.0000.547
유방암0.1651.0000.0000.3590.0000.0000.0000.000
간암0.5470.0001.0000.0000.0000.6580.0000.843
병원구분0.1500.3590.0001.0000.0000.0000.7580.000
휴일검진0.0000.0000.0000.0001.0000.0000.0000.000
일반검진0.4080.0000.6580.0000.0001.0000.0000.658
폐암0.0000.0000.0000.7580.0000.0001.0000.000
위암0.5470.0000.8430.0000.0000.6580.0001.000
2024-04-21T10:15:22.315156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호병원구분위암간암대장암유방암폐암일반검진휴일검진
번호1.0000.2590.0000.0000.0000.0000.0000.0000.257
병원구분0.2591.0000.0000.0000.1500.3590.7580.0000.000
위암0.0000.0001.0000.8430.5470.0000.0000.6580.000
간암0.0000.0000.8431.0000.5470.0000.0000.6580.000
대장암0.0000.1500.5470.5471.0000.1650.0000.4080.000
유방암0.0000.3590.0000.0000.1651.0000.0000.0000.000
폐암0.0000.7580.0000.0000.0000.0001.0000.0000.000
일반검진0.0000.0000.6580.6580.4080.0000.0001.0000.000
휴일검진0.2570.0000.0000.0000.0000.0000.0000.0001.000

Missing values

2024-04-21T10:15:18.322575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:15:18.504189image/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

번호병원명주소연락처병원구분위암간암대장암유방암폐암일반검진휴일검진데이터기준일자
01(의)영문의료재단 다보스병원경기도 용인시 처인구 백옥대로1082번길 18 다보스종합병원 (김량장동)031-8021-2114종합병원실시실시실시실시실시실시미실시2024-04-12
12(의)효심의료재단 용인서울병원경기도 용인시 처인구 고림로 81 (고림동)031-337-0114종합병원실시실시실시실시미실시실시미실시2024-04-12
23금란산부인과의원경기도 용인시 처인구 금령로106번길 13-5 (김량장동)031-335-1155의원미실시미실시미실시미실시미실시미실시미실시2024-04-12
34김내과의원경기도 용인시 처인구 금령로71번길 16 204호 (김량장동, 대흥빌딩)031-322-8275의원실시실시미실시미실시미실시실시미실시2024-04-12
45명주병원경기도 용인시 처인구 금령로39번길 8-6 (김량장동)031-1522-8119종합병원실시실시실시실시실시실시미실시2024-04-12
56미래내과의원경기도 용인시 처인구 모현읍 오포로 106 2층031-322-8575의원실시실시실시미실시미실시실시실시2024-04-12
67베스트내과의원경기도 용인시 처인구 포곡읍 포곡로 113 상일빌딩 4층031-335-1358의원실시실시실시실시미실시실시미실시2024-04-12
78서울내과의원경기도 용인시 처인구 포곡읍 포곡로 97-4031-333-2237의원실시실시실시실시미실시실시미실시2024-04-12
89서울박내과의원경기도 용인시 처인구 명지로40번길 4 4층 403호 (역북동)031-321-7124의원실시실시실시미실시미실시실시미실시2024-04-12
910서울산부인과의원경기도 용인시 처인구 금령로71번길 16 (김량장동)031-321-3311의원미실시미실시미실시미실시미실시미실시미실시2024-04-12
번호병원명주소연락처병원구분위암간암대장암유방암폐암일반검진휴일검진데이터기준일자
1415연세미즈산부인과의원경기도 용인시 처인구 금학로 345 (김량장동,5층,6층)031-321-7227의원미실시미실시미실시미실시미실시미실시미실시2024-04-12
1516연세행복내과의원경기도 용인시 처인구 금령로 86 2층 206~209호 (김량장동)031-326-0799의원실시실시실시실시미실시실시미실시2024-04-12
1617용인삼성내과의원경기도 용인시 처인구 금령로 62 2,7층 (김량장동, 위너스프라자)031-339-9068의원실시실시실시미실시미실시실시미실시2024-04-12
1718용인아산내과의원경기도 용인시 처인구 금령로 108-1 (김량장동, S타워 2층,3층)031-336-0066의원실시실시실시실시미실시실시미실시2024-04-12
1819용인제일메디병원경기도 용인시 처인구 포곡읍 포곡로210번길 21-11031-322-7582병원실시실시실시실시미실시실시미실시2024-04-12
1920용인제일산부인과의원경기도 용인시 처인구 중부대로 1347 (김량장동)031-8031-0200의원미실시미실시미실시실시미실시실시미실시2024-04-12
2021용인한숲내과의원경기도 용인시 처인구 남사면 한숲로 60 처인프라자 413호031-322-7511의원실시실시실시미실시미실시실시실시2024-04-12
2122윤성욱내과의원경기도 용인시 처인구 모현면 백옥대로 2404031-333-7588의원실시실시미실시미실시미실시실시미실시2024-04-12
2223조은손병원경기도 용인시 처인구 중부대로 1349 지하1, 지상3~6층 (김량장동)031-321-8275병원실시실시실시미실시미실시실시미실시2024-04-12
2324한세환내과의원경기도 용인시 처인구 백옥대로 1112 (김량장동,재성빌딩 303,304)031-337-0150의원실시실시실시미실시미실시실시미실시2024-04-12