Overview

Dataset statistics

Number of variables16
Number of observations58
Missing cells61
Missing cells (%)6.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.4 KiB
Average record size in memory131.3 B

Variable types

Numeric1
DateTime1
Text4
Categorical10

Dataset

Description인천광역시 중구 검진기관명, 지정상태, 일반검진, 위암, 유방암, 대장암, 간암, 자궁경부암 등 건강검진기관에 관한 정보입니다.
URLhttps://www.data.go.kr/data/15081554/fileData.do

Alerts

지정상태 has constant value ""Constant
폐암 has constant value ""Constant
데이터기준일 has constant value ""Constant
일반검진 is highly overall correlated with 위암 and 5 other fieldsHigh correlation
영유아검진 is highly overall correlated with 연번 and 6 other fieldsHigh correlation
위암 is highly overall correlated with 연번 and 6 other fieldsHigh correlation
간암 is highly overall correlated with 연번 and 6 other fieldsHigh correlation
자궁경부암 is highly overall correlated with 연번 and 6 other fieldsHigh correlation
유방암 is highly overall correlated with 연번 and 6 other fieldsHigh correlation
대장암 is highly overall correlated with 연번 and 6 other fieldsHigh correlation
연번 is highly overall correlated with 위암 and 6 other fieldsHigh correlation
구강검진 is highly overall correlated with 연번High correlation
지정일자 has 5 (8.6%) missing valuesMissing
폐암 has 56 (96.6%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 00:29:31.528661
Analysis finished2023-12-12 00:29:33.024696
Duration1.5 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct58
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29.5
Minimum1
Maximum58
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size654.0 B
2023-12-12T09:29:33.099742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.85
Q115.25
median29.5
Q343.75
95-th percentile55.15
Maximum58
Range57
Interquartile range (IQR)28.5

Descriptive statistics

Standard deviation16.886879
Coefficient of variation (CV)0.57243656
Kurtosis-1.2
Mean29.5
Median Absolute Deviation (MAD)14.5
Skewness0
Sum1711
Variance285.16667
MonotonicityStrictly increasing
2023-12-12T09:29:33.259899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.7%
45 1
 
1.7%
33 1
 
1.7%
34 1
 
1.7%
35 1
 
1.7%
36 1
 
1.7%
37 1
 
1.7%
38 1
 
1.7%
39 1
 
1.7%
40 1
 
1.7%
Other values (48) 48
82.8%
ValueCountFrequency (%)
1 1
1.7%
2 1
1.7%
3 1
1.7%
4 1
1.7%
5 1
1.7%
6 1
1.7%
7 1
1.7%
8 1
1.7%
9 1
1.7%
10 1
1.7%
ValueCountFrequency (%)
58 1
1.7%
57 1
1.7%
56 1
1.7%
55 1
1.7%
54 1
1.7%
53 1
1.7%
52 1
1.7%
51 1
1.7%
50 1
1.7%
49 1
1.7%

지정일자
Date

MISSING 

Distinct49
Distinct (%)92.5%
Missing5
Missing (%)8.6%
Memory size596.0 B
Minimum2010-02-05 00:00:00
Maximum2023-04-06 00:00:00
2023-12-12T09:29:33.403875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:29:33.558596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)

검진기관명
Text

Distinct57
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size596.0 B
2023-12-12T09:29:33.808393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length13.5
Mean length8.9310345
Min length5

Characters and Unicode

Total characters518
Distinct characters133
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique56 ?
Unique (%)96.6%

Sample

1st row우리들정형외과의원
2nd row박선희치과의원
3rd row허형범치과의원
4th row선치과의원
5th row이플란트치과의원
ValueCountFrequency (%)
신흥메디칼의원 2
 
3.2%
하늘별빛어린이치과의원 1
 
1.6%
하늘퍼스트치과의원 1
 
1.6%
the착한치과의원 1
 
1.6%
운서조은사람치과의원 1
 
1.6%
더본플란트치과의원 1
 
1.6%
영종웰치과의원 1
 
1.6%
인하대학교의과대학부속병원 1
 
1.6%
피터팬소아청소년과의원 1
 
1.6%
성모연합의원 1
 
1.6%
Other values (51) 51
82.3%
2023-12-12T09:29:34.262888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
의 58
 
11.2%
원 58
 
11.2%
과 52
 
10.0%
치 27
 
5.2%
소 16
 
3.1%
아 12
 
2.3%
인 11
 
2.1%
스 10
 
1.9%
늘 8
 
1.5%
청 8
 
1.5%
Other values (123) 258
49.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 507
97.9%
Uppercase Letter 7
 
1.4%
Space Separator 4
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 58
 
11.4%
원 58
 
11.4%
과 52
 
10.3%
치 27
 
5.3%
소 16
 
3.2%
아 12
 
2.4%
인 11
 
2.2%
스 10
 
2.0%
늘 8
 
1.6%
청 8
 
1.6%
Other values (118) 247
48.7%
Uppercase Letter
ValueCountFrequency (%)
T 2
28.6%
H 2
28.6%
E 2
28.6%
L 1
14.3%
Space Separator
ValueCountFrequency (%)
4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 507
97.9%
Latin 7
 
1.4%
Common 4
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 58
 
11.4%
원 58
 
11.4%
과 52
 
10.3%
치 27
 
5.3%
소 16
 
3.2%
아 12
 
2.4%
인 11
 
2.2%
스 10
 
2.0%
늘 8
 
1.6%
청 8
 
1.6%
Other values (118) 247
48.7%
Latin
ValueCountFrequency (%)
T 2
28.6%
H 2
28.6%
E 2
28.6%
L 1
14.3%
Common
ValueCountFrequency (%)
4
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 507
97.9%
ASCII 11
 
2.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
의 58
 
11.4%
원 58
 
11.4%
과 52
 
10.3%
치 27
 
5.3%
소 16
 
3.2%
아 12
 
2.4%
인 11
 
2.2%
스 10
 
2.0%
늘 8
 
1.6%
청 8
 
1.6%
Other values (118) 247
48.7%
ASCII
ValueCountFrequency (%)
4
36.4%
T 2
18.2%
H 2
18.2%
E 2
18.2%
L 1
 
9.1%

지정상태
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
업무지정
58 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
업무지정 58
100.0%

Length

2023-12-12T09:29:34.450872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:29:34.560201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
업무지정 58
100.0%

일반검진
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Memory size596.0 B
<NA>
39 
지정
17 
지정(지정)
 
2

Length

Max length6
Median length4
Mean length3.4827586
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row지정
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 39
67.2%
지정 17
29.3%
지정(지정) 2
 
3.4%

Length

2023-12-12T09:29:34.685946image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:29:34.794699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
67.2%
지정 17
29.3%
지정(지정 2
 
3.4%

위암
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
<NA>
44 
지정
14 

Length

Max length4
Median length4
Mean length3.5172414
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 44
75.9%
지정 14
 
24.1%

Length

2023-12-12T09:29:34.911437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:29:35.041246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
75.9%
지정 14
 
24.1%

유방암
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
<NA>
49 
지정
9 

Length

Max length4
Median length4
Mean length3.6896552
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 49
84.5%
지정 9
 
15.5%

Length

2023-12-12T09:29:35.162740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:29:35.278958image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
84.5%
지정 9
 
15.5%

대장암
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
<NA>
44 
지정
14 

Length

Max length4
Median length4
Mean length3.5172414
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 44
75.9%
지정 14
 
24.1%

Length

2023-12-12T09:29:35.405859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:29:35.518407image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
75.9%
지정 14
 
24.1%

간암
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
<NA>
44 
지정
14 

Length

Max length4
Median length4
Mean length3.5172414
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 44
75.9%
지정 14
 
24.1%

Length

2023-12-12T09:29:35.701502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:29:35.834803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
75.9%
지정 14
 
24.1%

자궁경부암
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
<NA>
47 
지정
11 

Length

Max length4
Median length4
Mean length3.6206897
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 47
81.0%
지정 11
 
19.0%

Length

2023-12-12T09:29:35.974886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:29:36.102323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
81.0%
지정 11
 
19.0%

폐암
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing56
Missing (%)96.6%
Memory size596.0 B
2023-12-12T09:29:36.184987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length2
Median length2
Mean length2
Min length2

Characters and Unicode

Total characters4
Distinct characters2
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

Unique0 ?
Unique (%)0.0%

Sample

1st row지정
2nd row지정
ValueCountFrequency (%)
지정 2
100.0%
2023-12-12T09:29:36.406905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
지 2
50.0%
정 2
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
지 2
50.0%
정 2
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
지 2
50.0%
정 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
지 2
50.0%
정 2
50.0%

구강검진
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
<NA>
32 
지정
26 

Length

Max length4
Median length4
Mean length3.1034483
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row지정
3rd row지정
4th row지정
5th row지정

Common Values

ValueCountFrequency (%)
<NA> 32
55.2%
지정 26
44.8%

Length

2023-12-12T09:29:36.563369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:29:36.702519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
55.2%
지정 26
44.8%

영유아검진
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size596.0 B
<NA>
43 
지정
15 

Length

Max length4
Median length4
Mean length3.4827586
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 43
74.1%
지정 15
 
25.9%

Length

2023-12-12T09:29:36.850534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:29:36.954529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
74.1%
지정 15
 
25.9%

주소
Text

Distinct56
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size596.0 B
2023-12-12T09:29:37.180262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length39
Mean length30.327586
Min length12

Characters and Unicode

Total characters1759
Distinct characters124
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

Unique54 ?
Unique (%)93.1%

Sample

1st row인천 중구 북성동2가 12-32
2nd row인천광역시 중구 참외전로 134 2층 (인현동)
3rd row인천 중구 신포동 16번지 9통1반
4th row인천 중구 항동7가 76-2 롯데마트 3층
5th row인천광역시 중구 신도시남로 137 3층 (운서동)
ValueCountFrequency (%)
중구 58
 
16.2%
인천광역시 52
 
14.5%
중산동 17
 
4.7%
운서동 14
 
3.9%
3층 11
 
3.1%
4층 10
 
2.8%
흰바위로 7
 
2.0%
인천 6
 
1.7%
우현로 6
 
1.7%
하늘달빛로 5
 
1.4%
Other values (120) 172
48.0%
2023-12-12T09:29:37.670656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
300
 
17.1%
중 83
 
4.7%
인 66
 
3.8%
1 62
 
3.5%
천 60
 
3.4%
동 59
 
3.4%
구 58
 
3.3%
시 57
 
3.2%
로 53
 
3.0%
( 52
 
3.0%
Other values (114) 909
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 999
56.8%
Decimal Number 316
 
18.0%
Space Separator 300
 
17.1%
Open Punctuation 52
 
3.0%
Close Punctuation 52
 
3.0%
Other Punctuation 19
 
1.1%
Dash Punctuation 14
 
0.8%
Math Symbol 5
 
0.3%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
중 83
 
8.3%
인 66
 
6.6%
천 60
 
6.0%
동 59
 
5.9%
구 58
 
5.8%
시 57
 
5.7%
로 53
 
5.3%
광 52
 
5.2%
역 52
 
5.2%
층 32
 
3.2%
Other values (97) 427
42.7%
Decimal Number
ValueCountFrequency (%)
1 62
19.6%
3 47
14.9%
4 44
13.9%
2 37
11.7%
0 32
10.1%
5 25
7.9%
7 25
7.9%
9 17
 
5.4%
6 16
 
5.1%
8 11
 
3.5%
Space Separator
ValueCountFrequency (%)
300
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Other Punctuation
ValueCountFrequency (%)
, 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
M 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 999
56.8%
Common 758
43.1%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
중 83
 
8.3%
인 66
 
6.6%
천 60
 
6.0%
동 59
 
5.9%
구 58
 
5.8%
시 57
 
5.7%
로 53
 
5.3%
광 52
 
5.2%
역 52
 
5.2%
층 32
 
3.2%
Other values (97) 427
42.7%
Common
ValueCountFrequency (%)
300
39.6%
1 62
 
8.2%
( 52
 
6.9%
) 52
 
6.9%
3 47
 
6.2%
4 44
 
5.8%
2 37
 
4.9%
0 32
 
4.2%
5 25
 
3.3%
7 25
 
3.3%
Other values (6) 82
 
10.8%
Latin
ValueCountFrequency (%)
M 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 999
56.8%
ASCII 760
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
300
39.5%
1 62
 
8.2%
( 52
 
6.8%
) 52
 
6.8%
3 47
 
6.2%
4 44
 
5.8%
2 37
 
4.9%
0 32
 
4.2%
5 25
 
3.3%
7 25
 
3.3%
Other values (7) 84
 
11.1%
Hangul
ValueCountFrequency (%)
중 83
 
8.3%
인 66
 
6.6%
천 60
 
6.0%
동 59
 
5.9%
구 58
 
5.8%
시 57
 
5.7%
로 53
 
5.3%
광 52
 
5.2%
역 52
 
5.2%
층 32
 
3.2%
Other values (97) 427
42.7%

전화번호
Text

Distinct57
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size596.0 B
2023-12-12T09:29:37.942309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.948276
Min length8

Characters and Unicode

Total characters693
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

Unique56 ?
Unique (%)96.6%

Sample

1st row032-772-1393
2nd row032-762-6980
3rd row032-765-2828
4th row032-886-7528
5th row032-752-2275
ValueCountFrequency (%)
032-885-7582 2
 
3.4%
032-772-1393 1
 
1.7%
032-715-7272 1
 
1.7%
032-713-7950 1
 
1.7%
032-752-9881 1
 
1.7%
032-777-2877 1
 
1.7%
032-751-2877 1
 
1.7%
032-772-7528 1
 
1.7%
032-747-0275 1
 
1.7%
032-890-2114 1
 
1.7%
Other values (47) 47
81.0%
2023-12-12T09:29:38.415666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 122
17.6%
- 114
16.5%
7 102
14.7%
0 86
12.4%
3 77
11.1%
5 51
7.4%
8 44
 
6.3%
1 35
 
5.1%
4 25
 
3.6%
6 22
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 579
83.5%
Dash Punctuation 114
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 122
21.1%
7 102
17.6%
0 86
14.9%
3 77
13.3%
5 51
8.8%
8 44
 
7.6%
1 35
 
6.0%
4 25
 
4.3%
6 22
 
3.8%
9 15
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 693
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 122
17.6%
- 114
16.5%
7 102
14.7%
0 86
12.4%
3 77
11.1%
5 51
7.4%
8 44
 
6.3%
1 35
 
5.1%
4 25
 
3.6%
6 22
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 693
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 122
17.6%
- 114
16.5%
7 102
14.7%
0 86
12.4%
3 77
11.1%
5 51
7.4%
8 44
 
6.3%
1 35
 
5.1%
4 25
 
3.6%
6 22
 
3.2%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.7%
Missing0
Missing (%)0.0%
Memory size596.0 B
2023-05-25
58 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-25
2nd row2023-05-25
3rd row2023-05-25
4th row2023-05-25
5th row2023-05-25

Common Values

ValueCountFrequency (%)
2023-05-25 58
100.0%

Length

2023-12-12T09:29:38.586519image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:29:38.678301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-25 58
100.0%

Interactions

2023-12-12T09:29:32.396055image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:29:38.759550image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지정일자검진기관명일반검진주소전화번호
연번1.0000.8901.0000.8520.8571.000
지정일자0.8901.0000.9951.0000.9880.995
검진기관명1.0000.9951.0001.0000.9921.000
일반검진0.8521.0001.0001.0001.0001.000
주소0.8570.9880.9921.0001.0000.992
전화번호1.0000.9951.0001.0000.9921.000
2023-12-12T09:29:38.890393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일반검진영유아검진구강검진위암간암자궁경부암유방암대장암
일반검진1.0001.000NaN1.0001.0001.0001.0001.000
영유아검진1.0001.000NaN1.0001.0001.0001.0001.000
구강검진NaNNaN1.000NaNNaNNaNNaNNaN
위암1.0001.000NaN1.0001.0001.0001.0001.000
간암1.0001.000NaN1.0001.0001.0001.0001.000
자궁경부암1.0001.000NaN1.0001.0001.0001.0001.000
유방암1.0001.000NaN1.0001.0001.0001.0001.000
대장암1.0001.000NaN1.0001.0001.0001.0001.000
2023-12-12T09:29:39.293630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번일반검진위암유방암대장암간암자궁경부암구강검진영유아검진
연번1.0000.4831.0001.0001.0001.0001.0001.0001.000
일반검진0.4831.0001.0001.0001.0001.0001.000NaN1.000
위암1.0001.0001.0001.0001.0001.0001.000NaN1.000
유방암1.0001.0001.0001.0001.0001.0001.000NaN1.000
대장암1.0001.0001.0001.0001.0001.0001.000NaN1.000
간암1.0001.0001.0001.0001.0001.0001.000NaN1.000
자궁경부암1.0001.0001.0001.0001.0001.0001.000NaN1.000
구강검진1.000NaNNaNNaNNaNNaNNaN1.000NaN
영유아검진1.0001.0001.0001.0001.0001.0001.000NaN1.000

Missing values

2023-12-12T09:29:32.536243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:29:32.742573image/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.
2023-12-12T09:29:32.913024image/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

연번지정일자검진기관명지정상태일반검진위암유방암대장암간암자궁경부암폐암구강검진영유아검진주소전화번호데이터기준일
012010-02-05우리들정형외과의원업무지정지정<NA><NA><NA><NA><NA><NA><NA><NA>인천 중구 북성동2가 12-32032-772-13932023-05-25
122010-02-12박선희치과의원업무지정<NA><NA><NA><NA><NA><NA><NA>지정<NA>인천광역시 중구 참외전로 134 2층 (인현동)032-762-69802023-05-25
232010-03-08허형범치과의원업무지정<NA><NA><NA><NA><NA><NA><NA>지정<NA>인천 중구 신포동 16번지 9통1반032-765-28282023-05-25
342010-03-19선치과의원업무지정<NA><NA><NA><NA><NA><NA><NA>지정<NA>인천 중구 항동7가 76-2 롯데마트 3층032-886-75282023-05-25
452010-04-22이플란트치과의원업무지정<NA><NA><NA><NA><NA><NA><NA>지정<NA>인천광역시 중구 신도시남로 137 3층 (운서동)032-752-22752023-05-25
562010-04-28노블치과의원업무지정<NA><NA><NA><NA><NA><NA><NA>지정<NA>인천 중구 운서동 2794-1 에어포트1 301호032-746-22752023-05-25
672010-05-12신흥메디칼의원업무지정<NA><NA><NA><NA><NA><NA><NA><NA><NA>인천 중구 신흥동3가 6-18032-885-75822023-05-25
782010-05-12이사랑치과의원업무지정<NA><NA><NA><NA><NA><NA><NA>지정<NA>인천광역시 중구 흰바위로 31 3층 (운서동)032-751-28752023-05-25
892010-05-12서울외과의원업무지정지정<NA><NA><NA><NA><NA><NA><NA><NA>인천광역시 중구 운남로 167 2-3층 (운남동)032-746-75822023-05-25
9102012-02-15신흥메디칼의원업무지정지정지정<NA>지정<NA><NA><NA><NA><NA>인천광역시 중구 도원로7번길 11 (신흥동3가)032-885-75822023-05-25
연번지정일자검진기관명지정상태일반검진위암유방암대장암간암자궁경부암폐암구강검진영유아검진주소전화번호데이터기준일
48492022-08-22예스삼성소아청소년과의원업무지정<NA><NA><NA><NA><NA><NA><NA><NA>지정인천광역시 중구 영종대로 184 영종예스타워복합상영관 4층 401호 (운서동)032-752-97222023-05-25
49502022-09-26슈어치과교정과치과병원업무지정<NA><NA><NA><NA><NA><NA><NA>지정<NA>인천광역시 중구 하늘중앙로225번길 3-0 301302호 (중산동,영종M타워)0507-1322-28912023-05-25
50512023-01-11영종 센트럴 이비인후과의원업무지정<NA><NA><NA><NA><NA><NA><NA><NA>지정인천광역시 중구 흰바위로 258 5층 (운남동)032-746-35792023-05-25
51522023-04-06하늘메디컬의원업무지정지정지정지정지정지정지정<NA><NA><NA>인천광역시 중구 하늘중앙로 193 조양타워 4층 401호 (중산동)032-752-60082023-05-25
52532023-04-06장튼튼내과의원업무지정지정지정지정지정지정지정<NA><NA><NA>인천광역시 중구 하늘달빛로 94 스타타워1 301~303호 (중산동)032-752-23882023-05-25
5354<NA>의료법인길의료재단동인천길요양병원업무지정지정지정지정지정지정지정<NA><NA><NA>인천 중구 용동 117770-13132023-05-25
5455<NA>이재준내과의원업무지정지정지정<NA>지정지정<NA><NA><NA><NA>인천광역시 중구 축항대로86번길 38 (항동7가)032-883-63472023-05-25
5556<NA>인천국제공항의원업무지정지정<NA><NA><NA><NA><NA><NA><NA><NA>인천광역시 중구 공항로 272 (운서동)032-743-31192023-05-25
5657<NA>신제일산부인과의원업무지정<NA><NA><NA><NA><NA>지정<NA><NA><NA>인천광역시 중구 신도시남로 137 화평빌딩 4층 401,402호 (운서동)032-747-11182023-05-25
5758<NA>모아연합소아청소년과의원업무지정<NA><NA><NA><NA><NA><NA><NA><NA>지정인천광역시 중구 흰바위로 51 3층 (운서동)032-751-82752023-05-25