Overview

Dataset statistics

Number of variables13
Number of observations50
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.3 KiB
Average record size in memory107.6 B

Variable types

Numeric1
Text3
Categorical8
DateTime1

Dataset

Description경기도 용인시 수지구의 관내 암검진기관 현황입니다. 병원명, 주소, 연락처, 병원구분, 휴일검진 등의 데이터를 제공합니다.※ 데이터기준일자 : 2024-04-12
Author경기도 용인시
URLhttps://www.data.go.kr/data/15050607/fileData.do

Alerts

폐암 has constant value ""Constant
데이터기준일자 has constant value ""Constant
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 위암 and 2 other fieldsHigh correlation
병원구분 is highly imbalanced (67.3%)Imbalance
휴일검진 is highly imbalanced (85.9%)Imbalance
번호 has unique valuesUnique
병원명 has unique valuesUnique
주소 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2024-04-21 01:15:27.189973
Analysis finished2024-04-21 01:15:29.445672
Duration2.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25.5
Minimum1
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size582.0 B
2024-04-21T10:15:29.511157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.45
Q113.25
median25.5
Q337.75
95-th percentile47.55
Maximum50
Range49
Interquartile range (IQR)24.5

Descriptive statistics

Standard deviation14.57738
Coefficient of variation (CV)0.57166195
Kurtosis-1.2
Mean25.5
Median Absolute Deviation (MAD)12.5
Skewness0
Sum1275
Variance212.5
MonotonicityStrictly increasing
2024-04-21T10:15:29.635884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
2.0%
39 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
36 1
 
2.0%
Other values (40) 40
80.0%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
50 1
2.0%
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%
41 1
2.0%

병원명
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-04-21T10:15:29.838786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length7.94
Min length3

Characters and Unicode

Total characters397
Distinct characters105
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

Unique50 ?
Unique (%)100.0%

Sample

1st rowSOK수지속편한내과의원
2nd row곽정아산부인과의원
3rd row광교그린산부인과의원
4th row광교미소모아내과의원
5th row광교바른내과의원
ValueCountFrequency (%)
sok수지속편한내과의원 1
 
2.0%
위편한내과의원 1
 
2.0%
수지미래의원 1
 
2.0%
수지베스트내과의원 1
 
2.0%
수지본내과의원 1
 
2.0%
수지사랑내과의원 1
 
2.0%
수지엘내과의원 1
 
2.0%
수지퍼스트내과의원 1
 
2.0%
에스더산부인과의원 1
 
2.0%
연세메디웰내과의원 1
 
2.0%
Other values (41) 41
80.4%
2024-04-21T10:15:30.149999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 52
 
13.1%
원 50
 
12.6%
과 45
 
11.3%
내 33
 
8.3%
지 11
 
2.8%
인 9
 
2.3%
수 9
 
2.3%
산 7
 
1.8%
부 7
 
1.8%
한 6
 
1.5%
Other values (95) 168
42.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 389
98.0%
Uppercase Letter 5
 
1.3%
Space Separator 1
 
0.3%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 52
 
13.4%
원 50
 
12.9%
과 45
 
11.6%
내 33
 
8.5%
지 11
 
2.8%
인 9
 
2.3%
수 9
 
2.3%
산 7
 
1.8%
부 7
 
1.8%
한 6
 
1.5%
Other values (87) 160
41.1%
Uppercase Letter
ValueCountFrequency (%)
S 1
20.0%
K 1
20.0%
O 1
20.0%
W 1
20.0%
E 1
20.0%
Space Separator
ValueCountFrequency (%)
1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 389
98.0%
Latin 5
 
1.3%
Common 3
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 52
 
13.4%
원 50
 
12.9%
과 45
 
11.6%
내 33
 
8.5%
지 11
 
2.8%
인 9
 
2.3%
수 9
 
2.3%
산 7
 
1.8%
부 7
 
1.8%
한 6
 
1.5%
Other values (87) 160
41.1%
Latin
ValueCountFrequency (%)
S 1
20.0%
K 1
20.0%
O 1
20.0%
W 1
20.0%
E 1
20.0%
Common
ValueCountFrequency (%)
1
33.3%
( 1
33.3%
) 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 389
98.0%
ASCII 8
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 52
 
13.4%
원 50
 
12.9%
과 45
 
11.6%
내 33
 
8.5%
지 11
 
2.8%
인 9
 
2.3%
수 9
 
2.3%
산 7
 
1.8%
부 7
 
1.8%
한 6
 
1.5%
Other values (87) 160
41.1%
ASCII
ValueCountFrequency (%)
1
12.5%
S 1
12.5%
K 1
12.5%
O 1
12.5%
( 1
12.5%
W 1
12.5%
E 1
12.5%
) 1
12.5%

주소
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-04-21T10:15:30.432415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length44
Mean length39.84
Min length23

Characters and Unicode

Total characters1992
Distinct characters137
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

Unique50 ?
Unique (%)100.0%

Sample

1st row경기도 용인시 수지구 손곡로 95 308,309,310호 (동천동, 송란빌딩)
2nd row경기도 용인시 수지구 풍덕천로 119 3층 304호 (풍덕천동, 로얄스포츠센터)
3rd row경기도 용인시 수지구 광교중앙로 308 3층 301호 (상현동, 광교에스타워)
4th row경기도 용인시 수지구 광교중앙로 301 403호 (상현동, 드림타워)
5th row경기도 용인시 수지구 광교중앙로 298, 드림타워2 4층 402~404호(상현동)
ValueCountFrequency (%)
경기도 50
 
12.6%
수지구 50
 
12.6%
용인시 50
 
12.6%
풍덕천동 12
 
3.0%
상현동 10
 
2.5%
3층 8
 
2.0%
만현로 6
 
1.5%
광교중앙로 6
 
1.5%
성복동 6
 
1.5%
죽전동 6
 
1.5%
Other values (147) 194
48.7%
2024-04-21T10:15:30.831809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
348
 
17.5%
1 66
 
3.3%
0 65
 
3.3%
2 63
 
3.2%
지 63
 
3.2%
동 62
 
3.1%
수 59
 
3.0%
3 57
 
2.9%
로 55
 
2.8%
시 53
 
2.7%
Other values (127) 1101
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1108
55.6%
Decimal Number 358
 
18.0%
Space Separator 348
 
17.5%
Other Punctuation 56
 
2.8%
Open Punctuation 48
 
2.4%
Close Punctuation 48
 
2.4%
Uppercase Letter 12
 
0.6%
Math Symbol 11
 
0.6%
Dash Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 63
 
5.7%
동 62
 
5.6%
수 59
 
5.3%
로 55
 
5.0%
시 53
 
4.8%
구 51
 
4.6%
기 51
 
4.6%
용 51
 
4.6%
인 50
 
4.5%
도 50
 
4.5%
Other values (101) 563
50.8%
Decimal Number
ValueCountFrequency (%)
1 66
18.4%
0 65
18.2%
2 63
17.6%
3 57
15.9%
4 42
11.7%
5 20
 
5.6%
9 15
 
4.2%
8 11
 
3.1%
7 10
 
2.8%
6 9
 
2.5%
Uppercase Letter
ValueCountFrequency (%)
A 3
25.0%
I 2
16.7%
B 2
16.7%
C 1
 
8.3%
H 1
 
8.3%
Y 1
 
8.3%
K 1
 
8.3%
T 1
 
8.3%
Other Punctuation
ValueCountFrequency (%)
, 52
92.9%
/ 3
 
5.4%
. 1
 
1.8%
Space Separator
ValueCountFrequency (%)
348
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Math Symbol
ValueCountFrequency (%)
~ 11
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1108
55.6%
Common 872
43.8%
Latin 12
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 63
 
5.7%
동 62
 
5.6%
수 59
 
5.3%
로 55
 
5.0%
시 53
 
4.8%
구 51
 
4.6%
기 51
 
4.6%
용 51
 
4.6%
인 50
 
4.5%
도 50
 
4.5%
Other values (101) 563
50.8%
Common
ValueCountFrequency (%)
348
39.9%
1 66
 
7.6%
0 65
 
7.5%
2 63
 
7.2%
3 57
 
6.5%
, 52
 
6.0%
( 48
 
5.5%
) 48
 
5.5%
4 42
 
4.8%
5 20
 
2.3%
Other values (8) 63
 
7.2%
Latin
ValueCountFrequency (%)
A 3
25.0%
I 2
16.7%
B 2
16.7%
C 1
 
8.3%
H 1
 
8.3%
Y 1
 
8.3%
K 1
 
8.3%
T 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1108
55.6%
ASCII 884
44.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
348
39.4%
1 66
 
7.5%
0 65
 
7.4%
2 63
 
7.1%
3 57
 
6.4%
, 52
 
5.9%
( 48
 
5.4%
) 48
 
5.4%
4 42
 
4.8%
5 20
 
2.3%
Other values (16) 75
 
8.5%
Hangul
ValueCountFrequency (%)
지 63
 
5.7%
동 62
 
5.6%
수 59
 
5.3%
로 55
 
5.0%
시 53
 
4.8%
구 51
 
4.6%
기 51
 
4.6%
용 51
 
4.6%
인 50
 
4.5%
도 50
 
4.5%
Other values (101) 563
50.8%

연락처
Text

UNIQUE 

Distinct50
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
2024-04-21T10:15:31.041823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.04
Min length12

Characters and Unicode

Total characters602
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

Unique50 ?
Unique (%)100.0%

Sample

1st row031-264-5088
2nd row031-261-8383
3rd row031-211-0095
4th row031-212-1475
5th row031-893-4560
ValueCountFrequency (%)
031-264-5088 1
 
2.0%
031-266-5430 1
 
2.0%
031-263-8090 1
 
2.0%
031-263-1001 1
 
2.0%
031-261-7777 1
 
2.0%
031-261-6888 1
 
2.0%
031-548-2481 1
 
2.0%
031-272-6699 1
 
2.0%
031-8025-0500 1
 
2.0%
031-264-2722 1
 
2.0%
Other values (40) 40
80.0%
2024-04-21T10:15:31.356908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 100
16.6%
0 89
14.8%
1 79
13.1%
3 71
11.8%
2 69
11.5%
8 46
7.6%
6 43
7.1%
5 36
 
6.0%
7 33
 
5.5%
9 19
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 502
83.4%
Dash Punctuation 100
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 89
17.7%
1 79
15.7%
3 71
14.1%
2 69
13.7%
8 46
9.2%
6 43
8.6%
5 36
7.2%
7 33
 
6.6%
9 19
 
3.8%
4 17
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 602
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 100
16.6%
0 89
14.8%
1 79
13.1%
3 71
11.8%
2 69
11.5%
8 46
7.6%
6 43
7.1%
5 36
 
6.0%
7 33
 
5.5%
9 19
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 602
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 100
16.6%
0 89
14.8%
1 79
13.1%
3 71
11.8%
2 69
11.5%
8 46
7.6%
6 43
7.1%
5 36
 
6.0%
7 33
 
5.5%
9 19
 
3.2%

병원구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
의원
47 
병원
 
3

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
의원 47
94.0%
병원 3
 
6.0%

Length

2024-04-21T10:15:31.469749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:15:31.555916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 47
94.0%
병원 3
 
6.0%

위암
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
실시
37 
미실시
13 

Length

Max length3
Median length2
Mean length2.26
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
실시 37
74.0%
미실시 13
 
26.0%

Length

2024-04-21T10:15:31.644138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:15:31.727821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실시 37
74.0%
미실시 13
 
26.0%

간암
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
실시
38 
미실시
12 

Length

Max length3
Median length2
Mean length2.24
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
실시 38
76.0%
미실시 12
 
24.0%

Length

2024-04-21T10:15:31.821357image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:15:31.913623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실시 38
76.0%
미실시 12
 
24.0%

대장암
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
실시
31 
미실시
19 

Length

Max length3
Median length2
Mean length2.38
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
실시 31
62.0%
미실시 19
38.0%

Length

2024-04-21T10:15:32.002846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:15:32.083669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실시 31
62.0%
미실시 19
38.0%

유방암
Categorical

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
미실시
29 
실시
21 

Length

Max length3
Median length3
Mean length2.58
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미실시 29
58.0%
실시 21
42.0%

Length

2024-04-21T10:15:32.174125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:15:32.270721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미실시 29
58.0%
실시 21
42.0%

폐암
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
미실시
50 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
미실시 50
100.0%

Length

2024-04-21T10:15:32.365792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:15:32.437674image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미실시 50
100.0%

일반검진
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
실시
41 
미실시
9 

Length

Max length3
Median length2
Mean length2.18
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
실시 41
82.0%
미실시 9
 
18.0%

Length

2024-04-21T10:15:32.540265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:15:32.628749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실시 41
82.0%
미실시 9
 
18.0%

휴일검진
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
미실시
49 
실시
 
1

Length

Max length3
Median length3
Mean length2.98
Min length2

Unique

Unique1 ?
Unique (%)2.0%

Sample

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

Common Values

ValueCountFrequency (%)
미실시 49
98.0%
실시 1
 
2.0%

Length

2024-04-21T10:15:32.741023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T10:15:32.824850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
미실시 49
98.0%
실시 1
 
2.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size532.0 B
Minimum2024-04-12 00:00:00
Maximum2024-04-12 00:00:00
2024-04-21T10:15:32.896173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T10:15:32.989203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-21T10:15:29.092978image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-21T10:15:33.075590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호병원명주소연락처병원구분위암간암대장암유방암일반검진휴일검진
번호1.0001.0001.0001.0000.0000.0000.0000.0000.5180.0000.087
병원명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
병원구분0.0001.0001.0001.0001.0000.0000.0960.0000.0000.0000.000
위암0.0001.0001.0001.0000.0001.0000.9420.8930.3630.9080.000
간암0.0001.0001.0001.0000.0960.9421.0000.8620.3050.9340.000
대장암0.0001.0001.0001.0000.0000.8930.8621.0000.6370.7410.000
유방암0.5181.0001.0001.0000.0000.3630.3050.6371.0000.0000.000
일반검진0.0001.0001.0001.0000.0000.9080.9340.7410.0001.0000.000
휴일검진0.0871.0001.0001.0000.0000.0000.0000.0000.0000.0001.000
2024-04-21T10:15:33.203897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대장암휴일검진병원구분일반검진유방암간암위암
대장암1.0000.0000.0000.5310.4390.6610.703
휴일검진0.0001.0000.0000.0000.0000.0000.000
병원구분0.0000.0001.0000.0000.0000.0580.000
일반검진0.5310.0000.0001.0000.0000.7670.724
유방암0.4390.0000.0000.0001.0000.1960.236
간암0.6610.0000.0580.7670.1961.0000.783
위암0.7030.0000.0000.7240.2360.7831.000
2024-04-21T10:15:33.302388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호병원구분위암간암대장암유방암일반검진휴일검진
번호1.0000.0000.0000.0000.0000.3600.0000.000
병원구분0.0001.0000.0000.0580.0000.0000.0000.000
위암0.0000.0001.0000.7830.7030.2360.7240.000
간암0.0000.0580.7831.0000.6610.1960.7670.000
대장암0.0000.0000.7030.6611.0000.4390.5310.000
유방암0.3600.0000.2360.1960.4391.0000.0000.000
일반검진0.0000.0000.7240.7670.5310.0001.0000.000
휴일검진0.0000.0000.0000.0000.0000.0000.0001.000

Missing values

2024-04-21T10:15:29.237235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T10:15:29.379897image/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
01SOK수지속편한내과의원경기도 용인시 수지구 손곡로 95 308,309,310호 (동천동, 송란빌딩)031-264-5088의원실시실시실시실시미실시실시미실시2024-04-12
12곽정아산부인과의원경기도 용인시 수지구 풍덕천로 119 3층 304호 (풍덕천동, 로얄스포츠센터)031-261-8383의원미실시미실시미실시미실시미실시미실시미실시2024-04-12
23광교그린산부인과의원경기도 용인시 수지구 광교중앙로 308 3층 301호 (상현동, 광교에스타워)031-211-0095의원미실시미실시미실시미실시미실시미실시미실시2024-04-12
34광교미소모아내과의원경기도 용인시 수지구 광교중앙로 301 403호 (상현동, 드림타워)031-212-1475의원실시실시실시실시미실시실시미실시2024-04-12
45광교바른내과의원경기도 용인시 수지구 광교중앙로 298, 드림타워2 4층 402~404호(상현동)031-893-4560의원실시실시실시실시미실시실시미실시2024-04-12
56광교인내과의원경기도 용인시 수지구 광교중앙로 294 301호, 303호 (상현동)031-212-3082의원실시실시실시미실시미실시실시미실시2024-04-12
67광교장내과의원경기도 용인시 수지구 광교중앙로 320, 403호(상현동)031-214-7272의원실시실시실시미실시미실시실시미실시2024-04-12
78김진영내과의원경기도 용인시 수지구 신봉2로 3 301호 (신봉동, 홍천말프라자)031-263-9875의원실시실시미실시미실시미실시실시미실시2024-04-12
89노블산부인과의원경기도 용인시 수지구 만현로 110 A동 4층 406호 (상현동, 원희캐슬프라자)031-261-3550의원미실시미실시미실시미실시미실시미실시미실시2024-04-12
910더조은내과의원경기도 용인시 수지구 심곡로 87 지하1층 B138~140호 (성복동, 수지제일아이조움)031-898-2820의원미실시실시미실시미실시미실시실시미실시2024-04-12
번호병원명주소연락처병원구분위암간암대장암유방암폐암일반검진휴일검진데이터기준일자
4041유영일내과의원경기도 용인시 수지구 대지로 20 202호 (죽전동, 죽전빌딩)031-266-3338의원실시실시실시미실시미실시실시미실시2024-04-12
4142으뜸가정의학과의원경기도 용인시 수지구 동천로 34 3층 (동천동)031-272-8275의원실시미실시미실시미실시미실시실시미실시2024-04-12
4243의료법인광화의료재단 러스크병원경기도 용인시 수지구 포은대로 3132-8(풍덕천동)031-898-0007병원미실시미실시미실시미실시미실시실시미실시2024-04-12
4344이승복내과의원경기도 용인시 수지구 만현로 103 3층 301호 (상현동, 한길프라자)031-272-0082의원실시실시미실시미실시미실시실시미실시2024-04-12
4445장그린내과의원경기도 용인시 수지구 풍덕천로140번길 5-4 B1,2,3층 (풍덕천동)031-547-9690의원실시실시실시실시미실시실시미실시2024-04-12
4546지니여성의원경기도 용인시 수지구 수지로 124 성복스퀘어/근린생활시설 314호~316호 (성복동)031-276-6262의원미실시미실시미실시미실시미실시미실시미실시2024-04-12
4647진내과의원경기도 용인시 수지구 진산로28, 성원상떼빌아파트 상가1동 301~302호(상현동)031-264-6780의원실시실시실시미실시미실시실시미실시2024-04-12
4748편한내과의원경기도 용인시 수지구 동천로 36 301,302호 (동천동, 영재빌딩)031-261-7580의원실시실시실시미실시미실시실시미실시2024-04-12
4849한마음내과영상의학과의원경기도 용인시 수지구 풍덕천로 122 4층 405,405-1호 (풍덕천동, 하나로프라자)031-263-8090의원실시실시실시실시미실시실시미실시2024-04-12
4950현내과의원경기도 용인시 수지구 성복2로 51 비동 3층 315~316호 (성복동, YK타운)031-889-7587의원실시실시실시미실시미실시실시미실시2024-04-12