Overview

Dataset statistics

Number of variables13
Number of observations44
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.6 KiB
Average record size in memory108.0 B

Variable types

Numeric1
Text3
Categorical8
DateTime1

Dataset

Description경기도 용인시 기흥구의 관내 암검진기관 현황입니다. 병원명, 주소, 연락처, 병원구분, 휴일검진 등의 데이터를 제공합니다.※ 데이터기준일자 : 2024-04-12
Author경기도 용인시
URLhttps://www.data.go.kr/data/3035816/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
번호 is highly overall correlated with 일반검진High 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 2 other fieldsHigh correlation
일반검진 is highly overall correlated with 번호 and 3 other fieldsHigh correlation
병원구분 is highly imbalanced (84.4%)Imbalance
폐암 is highly imbalanced (84.4%)Imbalance
휴일검진 is highly imbalanced (56.1%)Imbalance
번호 has unique valuesUnique
병원명 has unique valuesUnique
주소 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2024-04-21 02:40:57.275837
Analysis finished2024-04-21 02:40:59.708787
Duration2.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean22.5
Minimum1
Maximum44
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size528.0 B
2024-04-21T11:40:59.791195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.15
Q111.75
median22.5
Q333.25
95-th percentile41.85
Maximum44
Range43
Interquartile range (IQR)21.5

Descriptive statistics

Standard deviation12.845233
Coefficient of variation (CV)0.57089923
Kurtosis-1.2
Mean22.5
Median Absolute Deviation (MAD)11
Skewness0
Sum990
Variance165
MonotonicityStrictly increasing
2024-04-21T11:40:59.906000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=44)
ValueCountFrequency (%)
1 1
 
2.3%
24 1
 
2.3%
26 1
 
2.3%
27 1
 
2.3%
28 1
 
2.3%
29 1
 
2.3%
30 1
 
2.3%
31 1
 
2.3%
32 1
 
2.3%
33 1
 
2.3%
Other values (34) 34
77.3%
ValueCountFrequency (%)
1 1
2.3%
2 1
2.3%
3 1
2.3%
4 1
2.3%
5 1
2.3%
6 1
2.3%
7 1
2.3%
8 1
2.3%
9 1
2.3%
10 1
2.3%
ValueCountFrequency (%)
44 1
2.3%
43 1
2.3%
42 1
2.3%
41 1
2.3%
40 1
2.3%
39 1
2.3%
38 1
2.3%
37 1
2.3%
36 1
2.3%
35 1
2.3%

병원명
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-04-21T11:41:00.116657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9.5
Mean length7.3636364
Min length4

Characters and Unicode

Total characters324
Distinct characters90
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)100.0%

Sample

1st row강남병원
2nd row강남임내과의원
3rd row고려외과의원
4th row굿모닝외과의원
5th row기흥성모의원
ValueCountFrequency (%)
강남병원 1
 
2.2%
서울새로운내과의원 1
 
2.2%
예일내과의원 1
 
2.2%
서울손내과의원 1
 
2.2%
서울편한내과의원 1
 
2.2%
성모프라임내과의원 1
 
2.2%
센텀내과의원 1
 
2.2%
신동백조은내과의원 1
 
2.2%
연세더바른내과의원 1
 
2.2%
연세속앤마디편한내과의원 1
 
2.2%
Other values (35) 35
77.8%
2024-04-21T11:41:00.469706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 43
 
13.3%
의 42
 
13.0%
과 41
 
12.7%
내 31
 
9.6%
인 8
 
2.5%
서 8
 
2.5%
울 7
 
2.2%
성 7
 
2.2%
산 6
 
1.9%
부 6
 
1.9%
Other values (80) 125
38.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 323
99.7%
Space Separator 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 43
 
13.3%
의 42
 
13.0%
과 41
 
12.7%
내 31
 
9.6%
인 8
 
2.5%
서 8
 
2.5%
울 7
 
2.2%
성 7
 
2.2%
산 6
 
1.9%
부 6
 
1.9%
Other values (79) 124
38.4%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 323
99.7%
Common 1
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 43
 
13.3%
의 42
 
13.0%
과 41
 
12.7%
내 31
 
9.6%
인 8
 
2.5%
서 8
 
2.5%
울 7
 
2.2%
성 7
 
2.2%
산 6
 
1.9%
부 6
 
1.9%
Other values (79) 124
38.4%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 323
99.7%
ASCII 1
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 43
 
13.3%
의 42
 
13.0%
과 41
 
12.7%
내 31
 
9.6%
인 8
 
2.5%
서 8
 
2.5%
울 7
 
2.2%
성 7
 
2.2%
산 6
 
1.9%
부 6
 
1.9%
Other values (79) 124
38.4%
ASCII
ValueCountFrequency (%)
1
100.0%

주소
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-04-21T11:41:00.695575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length39.5
Mean length35.409091
Min length23

Characters and Unicode

Total characters1558
Distinct characters120
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

Unique44 ?
Unique (%)100.0%

Sample

1st row경기도 용인시 기흥구 중부대로 411 (신갈동)
2nd row경기도 용인시 기흥구 강남동로 10 (구갈동)
3rd row경기도 용인시 기흥구 동백중앙로 283 (중동 골드프라자)
4th row경기도 용인시 기흥구 중부대로 563 3층 (구갈동 명문프라자)
5th row경기도 용인시 기흥구 공세로 91 2층 (공세동 남양빌딩)
ValueCountFrequency (%)
경기도 44
 
13.0%
용인시 44
 
13.0%
기흥구 43
 
12.7%
구갈동 8
 
2.4%
중동 8
 
2.4%
보정동 5
 
1.5%
2층 5
 
1.5%
동백중앙로 5
 
1.5%
3층 5
 
1.5%
신갈동 5
 
1.5%
Other values (121) 166
49.1%
2024-04-21T11:41:01.039310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
295
 
18.9%
기 89
 
5.7%
구 64
 
4.1%
동 62
 
4.0%
흥 51
 
3.3%
용 48
 
3.1%
인 47
 
3.0%
시 46
 
3.0%
로 44
 
2.8%
) 44
 
2.8%
Other values (110) 768
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 910
58.4%
Space Separator 295
 
18.9%
Decimal Number 237
 
15.2%
Close Punctuation 44
 
2.8%
Open Punctuation 44
 
2.8%
Other Punctuation 14
 
0.9%
Dash Punctuation 9
 
0.6%
Uppercase Letter 4
 
0.3%
Math Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 89
 
9.8%
구 64
 
7.0%
동 62
 
6.8%
흥 51
 
5.6%
용 48
 
5.3%
인 47
 
5.2%
시 46
 
5.1%
로 44
 
4.8%
경 44
 
4.8%
도 44
 
4.8%
Other values (91) 371
40.8%
Decimal Number
ValueCountFrequency (%)
3 41
17.3%
1 40
16.9%
0 39
16.5%
2 37
15.6%
5 23
9.7%
8 14
 
5.9%
4 14
 
5.9%
6 13
 
5.5%
7 9
 
3.8%
9 7
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
C 2
50.0%
A 1
25.0%
V 1
25.0%
Space Separator
ValueCountFrequency (%)
295
100.0%
Close Punctuation
ValueCountFrequency (%)
) 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 44
100.0%
Other Punctuation
ValueCountFrequency (%)
, 14
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 910
58.4%
Common 644
41.3%
Latin 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 89
 
9.8%
구 64
 
7.0%
동 62
 
6.8%
흥 51
 
5.6%
용 48
 
5.3%
인 47
 
5.2%
시 46
 
5.1%
로 44
 
4.8%
경 44
 
4.8%
도 44
 
4.8%
Other values (91) 371
40.8%
Common
ValueCountFrequency (%)
295
45.8%
) 44
 
6.8%
( 44
 
6.8%
3 41
 
6.4%
1 40
 
6.2%
0 39
 
6.1%
2 37
 
5.7%
5 23
 
3.6%
8 14
 
2.2%
4 14
 
2.2%
Other values (6) 53
 
8.2%
Latin
ValueCountFrequency (%)
C 2
50.0%
A 1
25.0%
V 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 910
58.4%
ASCII 648
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
295
45.5%
) 44
 
6.8%
( 44
 
6.8%
3 41
 
6.3%
1 40
 
6.2%
0 39
 
6.0%
2 37
 
5.7%
5 23
 
3.5%
8 14
 
2.2%
4 14
 
2.2%
Other values (9) 57
 
8.8%
Hangul
ValueCountFrequency (%)
기 89
 
9.8%
구 64
 
7.0%
동 62
 
6.8%
흥 51
 
5.6%
용 48
 
5.3%
인 47
 
5.2%
시 46
 
5.1%
로 44
 
4.8%
경 44
 
4.8%
도 44
 
4.8%
Other values (91) 371
40.8%

연락처
Text

UNIQUE 

Distinct44
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size484.0 B
2024-04-21T11:41:01.249570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.136364
Min length12

Characters and Unicode

Total characters534
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

Unique44 ?
Unique (%)100.0%

Sample

1st row031-300-0123
2nd row031-275-7577
3rd row031-693-5501
4th row031-287-0431
5th row031-286-7555
ValueCountFrequency (%)
031-300-0123 1
 
2.3%
031-275-7577 1
 
2.3%
031-281-5575 1
 
2.3%
031-274-8585 1
 
2.3%
031-302-7000 1
 
2.3%
031-8005-7582 1
 
2.3%
031-285-1475 1
 
2.3%
031-284-0084 1
 
2.3%
031-8067-7585 1
 
2.3%
031-548-0567 1
 
2.3%
Other values (34) 34
77.3%
2024-04-21T11:41:01.554592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 92
17.2%
- 88
16.5%
3 75
14.0%
1 66
12.4%
8 45
8.4%
2 43
8.1%
5 37
6.9%
7 34
 
6.4%
9 20
 
3.7%
6 18
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 446
83.5%
Dash Punctuation 88
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 92
20.6%
3 75
16.8%
1 66
14.8%
8 45
10.1%
2 43
9.6%
5 37
8.3%
7 34
 
7.6%
9 20
 
4.5%
6 18
 
4.0%
4 16
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 534
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 92
17.2%
- 88
16.5%
3 75
14.0%
1 66
12.4%
8 45
8.4%
2 43
8.1%
5 37
6.9%
7 34
 
6.4%
9 20
 
3.7%
6 18
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 534
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 92
17.2%
- 88
16.5%
3 75
14.0%
1 66
12.4%
8 45
8.4%
2 43
8.1%
5 37
6.9%
7 34
 
6.4%
9 20
 
3.7%
6 18
 
3.4%

병원구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
의원
43 
병원
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
의원 43
97.7%
병원 1
 
2.3%

Length

2024-04-21T11:41:01.672255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:41:01.766318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 43
97.7%
병원 1
 
2.3%

위암
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
실시
35 
미실시
9 

Length

Max length3
Median length2
Mean length2.2045455
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
실시 35
79.5%
미실시 9
 
20.5%

Length

2024-04-21T11:41:01.861200image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:41:01.948561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실시 35
79.5%
미실시 9
 
20.5%

간암
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
실시
34 
미실시
10 

Length

Max length3
Median length2
Mean length2.2272727
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
실시 34
77.3%
미실시 10
 
22.7%

Length

2024-04-21T11:41:02.040184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:41:02.130672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실시 34
77.3%
미실시 10
 
22.7%

대장암
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
실시
31 
미실시
13 

Length

Max length3
Median length2
Mean length2.2954545
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
실시 31
70.5%
미실시 13
29.5%

Length

2024-04-21T11:41:02.226519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:41:02.321352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실시 31
70.5%
미실시 13
29.5%

유방암
Categorical

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
미실시
27 
실시
17 

Length

Max length3
Median length3
Mean length2.6136364
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미실시 27
61.4%
실시 17
38.6%

Length

2024-04-21T11:41:02.415439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:41:02.501134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미실시 27
61.4%
실시 17
38.6%

폐암
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
미실시
43 
실시
 
1

Length

Max length3
Median length3
Mean length2.9772727
Min length2

Unique

Unique1 ?
Unique (%)2.3%

Sample

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

Common Values

ValueCountFrequency (%)
미실시 43
97.7%
실시 1
 
2.3%

Length

2024-04-21T11:41:02.590231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:41:02.688648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미실시 43
97.7%
실시 1
 
2.3%

일반검진
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
실시
37 
미실시
7 

Length

Max length3
Median length2
Mean length2.1590909
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
실시 37
84.1%
미실시 7
 
15.9%

Length

2024-04-21T11:41:02.793072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:41:02.881231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실시 37
84.1%
미실시 7
 
15.9%

휴일검진
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size484.0 B
미실시
40 
실시
 
4

Length

Max length3
Median length3
Mean length2.9090909
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미실시 40
90.9%
실시 4
 
9.1%

Length

2024-04-21T11:41:02.965915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T11:41:03.052824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미실시 40
90.9%
실시 4
 
9.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size484.0 B
Minimum2024-04-12 00:00:00
Maximum2024-04-12 00:00:00
2024-04-21T11:41:03.131254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T11:41:03.207141image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-21T11:40:59.280423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T11:41:03.279972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호병원명주소연락처병원구분위암간암대장암유방암폐암일반검진휴일검진
번호1.0001.0001.0001.0000.0000.6690.4380.3690.2020.0000.7300.000
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
병원구분0.0001.0001.0001.0001.0000.0000.0000.0000.0000.6730.0000.245
위암0.6691.0001.0001.0000.0001.0000.9090.9000.4730.0000.9380.000
간암0.4381.0001.0001.0000.0000.9091.0000.8520.3360.0000.9050.000
대장암0.3691.0001.0001.0000.0000.9000.8521.0000.6400.0000.8010.000
유방암0.2021.0001.0001.0000.0000.4730.3360.6401.0000.0000.3690.429
폐암0.0001.0001.0001.0000.6730.0000.0000.0000.0001.0000.0000.245
일반검진0.7301.0001.0001.0000.0000.9380.9050.8010.3690.0001.0000.000
휴일검진0.0001.0001.0001.0000.2450.0000.0000.0000.4290.2450.0001.000
2024-04-21T11:41:03.403404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대장암위암유방암폐암일반검진병원구분휴일검진간암
대장암1.0000.7130.4420.0000.5910.0000.0000.649
위암0.7131.0000.3130.0000.7750.0000.0000.726
유방암0.4420.3131.0000.0000.2390.0000.2820.217
폐암0.0000.0000.0001.0000.0000.4690.1560.000
일반검진0.5910.7750.2390.0001.0000.0000.0000.720
병원구분0.0000.0000.0000.4690.0001.0000.1560.000
휴일검진0.0000.0000.2820.1560.0000.1561.0000.000
간암0.6490.7260.2170.0000.7200.0000.0001.000
2024-04-21T11:41:03.510257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호병원구분위암간암대장암유방암폐암일반검진휴일검진
번호1.0000.0000.4650.2960.2460.1210.0000.5120.000
병원구분0.0001.0000.0000.0000.0000.0000.4690.0000.156
위암0.4650.0001.0000.7260.7130.3130.0000.7750.000
간암0.2960.0000.7261.0000.6490.2170.0000.7200.000
대장암0.2460.0000.7130.6491.0000.4420.0000.5910.000
유방암0.1210.0000.3130.2170.4421.0000.0000.2390.282
폐암0.0000.4690.0000.0000.0000.0001.0000.0000.156
일반검진0.5120.0000.7750.7200.5910.2390.0001.0000.000
휴일검진0.0000.1560.0000.0000.0000.2820.1560.0001.000

Missing values

2024-04-21T11:40:59.449664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T11:40:59.633182image/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
01강남병원경기도 용인시 기흥구 중부대로 411 (신갈동)031-300-0123병원실시실시실시실시실시실시실시2024-04-12
12강남임내과의원경기도 용인시 기흥구 강남동로 10 (구갈동)031-275-7577의원실시실시실시미실시미실시실시미실시2024-04-12
23고려외과의원경기도 용인시 기흥구 동백중앙로 283 (중동 골드프라자)031-693-5501의원실시실시실시실시미실시실시미실시2024-04-12
34굿모닝외과의원경기도 용인시 기흥구 중부대로 563 3층 (구갈동 명문프라자)031-287-0431의원실시미실시미실시미실시미실시실시미실시2024-04-12
45기흥성모의원경기도 용인시 기흥구 공세로 91 2층 (공세동 남양빌딩)031-286-7555의원실시실시실시미실시미실시실시미실시2024-04-12
56길내과의원경기도 용인시 기흥구 흥덕중앙로41 흥덕웰스프라자 506,506-1호 (영덕동)031-214-9088의원실시실시실시실시미실시실시실시2024-04-12
67김람훈내과의원경기도 용인시 기흥구 구성로 93 202호 (언남동 연남프라자)031-286-8334의원실시실시미실시미실시미실시실시미실시2024-04-12
78김앤서 내과의원경기도 용인시 기흥구 동백3로 11번길 8 V프라자 201호 (중동)031-8019-7582의원실시실시실시실시미실시실시미실시2024-04-12
89김재한내과의원경기도 용인시 기흥구 죽전로 47 302호 (보정동 웰빙타운)031-896-7022의원실시실시실시미실시미실시실시미실시2024-04-12
910김학선내과의원경기도 용인시 기흥구 용구대로 2398 402호 (마북동 벽산주상가)031-306-7510의원실시실시실시실시미실시실시미실시2024-04-12
번호병원명주소연락처병원구분위암간암대장암유방암폐암일반검진휴일검진데이터기준일자
3435용인항유외과의원경기도 용인시 기흥구 죽전로 2 현타워 304,305,306-1,306-2호 (보정동)031-309-8255의원실시미실시실시실시미실시실시미실시2024-04-12
3536이건내과의원경기도 용인시 기흥구 구갈로 70 301호 (구갈동 구갈메가타운)031-281-7373의원실시실시미실시미실시미실시실시미실시2024-04-12
3637이경오내과의원경기도 용인시 기흥구 흥덕2로 87번길 18 C동 308호 (영덕동 이씨티상가)031-211-7592의원실시실시실시미실시미실시실시미실시2024-04-12
3738정내과의원경기도 용인시 기흥구 신갈로 52 (신갈동 동인빌딩)031-283-4990의원실시실시미실시미실시미실시실시미실시2024-04-12
3839중동서울정형외과의원경기도 용인시 기흥구 언동로217번길 1 (중동)031-287-0770의원실시실시실시미실시미실시실시미실시2024-04-12
3940참사랑산부인과의원경기도 용인시 기흥구 구갈로60번길 1 (구갈동 오래메디컬센터)031-283-6321의원미실시미실시미실시미실시미실시미실시미실시2024-04-12
4041참편한내과의원경기도 용인시 기흥구 강남로 13 3층 302호 (구갈동, 칼리지포인트 )031-305-9360의원실시실시실시미실시미실시실시미실시2024-04-12
4142햇살산부인과의원경기도 용인시 기흥구 흥덕2로 87번길 18 (영덕동 이씨티)031-263-6001의원미실시미실시미실시미실시미실시미실시미실시2024-04-12
4243현산부인과의원경기도 용인시 기흥구 죽전로 52 304호 (보정동 훼미리프라자)031-897-6900의원미실시미실시미실시미실시미실시미실시미실시2024-04-12
4344홍종욱내과경기도 용인시 기흥구 한보라1로 8 (보라동)031-282-6633의원실시실시실시미실시미실시실시미실시2024-04-12