Overview

Dataset statistics

Number of variables17
Number of observations76
Missing cells1
Missing cells (%)0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory10.4 KiB
Average record size in memory139.7 B

Variable types

Categorical11
Numeric2
Text4

Dataset

Description경상남도 거제시 필수예방접종 위탁의료기관 현황(관할보건소, 기관코드, 의료기관명, 주소, 전화번호 등)에 대한 정보를 제공합니다.
Author경상남도 거제시
URLhttps://www.data.go.kr/data/15102852/fileData.do

Alerts

관할보건소 has constant value ""Constant
기준일자 has constant value ""Constant
인플(어린이_13세이하) is highly overall correlated with 기관코드 and 9 other fieldsHigh correlation
어린이 국가예방접종 is highly overall correlated with 기관코드 and 9 other fieldsHigh correlation
B형주산기 is highly overall correlated with 기관코드 and 9 other fieldsHigh correlation
인플(어르신) is highly overall correlated with 기관코드 and 9 other fieldsHigh correlation
코로나19 is highly overall correlated with 기관코드 and 9 other fieldsHigh correlation
건강여성첫걸음클리닉사업 is highly overall correlated with 기관코드 and 9 other fieldsHigh correlation
종별구분 is highly overall correlated with 기관코드 and 8 other fieldsHigh correlation
인플(임신부) is highly overall correlated with 기관코드 and 9 other fieldsHigh correlation
폐렴구균(어르신) is highly overall correlated with 기관코드 and 9 other fieldsHigh correlation
기관코드 is highly overall correlated with 종별구분 and 8 other fieldsHigh correlation
우편번호 is highly overall correlated with 어린이 국가예방접종 and 7 other fieldsHigh correlation
종별구분 is highly imbalanced (61.1%)Imbalance
인플(어르신) is highly imbalanced (70.3%)Imbalance
팩스번호 has 1 (1.3%) missing valuesMissing
기관코드 has unique valuesUnique
의료기관명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:24:42.623602
Analysis finished2023-12-12 06:24:44.998569
Duration2.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관할보건소
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size740.0 B
경상남도거제시보건소
76 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
경상남도거제시보건소 76
100.0%

Length

2023-12-12T15:24:45.088464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:24:45.276957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경상남도거제시보건소 76
100.0%

기관코드
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct76
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean38311286
Minimum38100045
Maximum38353644
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2023-12-12T15:24:45.408889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum38100045
5-th percentile38203595
Q138312988
median38328017
Q338343370
95-th percentile38350367
Maximum38353644
Range253599
Interquartile range (IQR)30381.75

Descriptive statistics

Standard deviation57049.465
Coefficient of variation (CV)0.0014891034
Kurtosis6.1138518
Mean38311286
Median Absolute Deviation (MAD)15129.5
Skewness-2.5229996
Sum2.9116577 × 109
Variance3.2546415 × 109
MonotonicityNot monotonic
2023-12-12T15:24:45.621405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38290201 1
 
1.3%
38329841 1
 
1.3%
38348136 1
 
1.3%
38343835 1
 
1.3%
38338505 1
 
1.3%
38332795 1
 
1.3%
38345200 1
 
1.3%
38348802 1
 
1.3%
38328038 1
 
1.3%
38342995 1
 
1.3%
Other values (66) 66
86.8%
ValueCountFrequency (%)
38100045 1
1.3%
38100126 1
1.3%
38100576 1
1.3%
38203057 1
1.3%
38203774 1
1.3%
38204789 1
1.3%
38204860 1
1.3%
38205548 1
1.3%
38205874 1
1.3%
38280400 1
1.3%
ValueCountFrequency (%)
38353644 1
1.3%
38353504 1
1.3%
38351587 1
1.3%
38350998 1
1.3%
38350157 1
1.3%
38350149 1
1.3%
38350009 1
1.3%
38349752 1
1.3%
38348802 1
1.3%
38348136 1
1.3%

의료기관명
Text

UNIQUE 

Distinct76
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size740.0 B
2023-12-12T15:24:45.922727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length6.9473684
Min length4

Characters and Unicode

Total characters528
Distinct characters138
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique76 ?
Unique (%)100.0%

Sample

1st row21C한일병원
2nd row감창우내과의원
3rd row거제아동병원
4th row거제아동의원
5th row거제요양병원
ValueCountFrequency (%)
의료법인 3
 
3.7%
21c한일병원 1
 
1.2%
오여성의원 1
 
1.2%
선이고운의원 1
 
1.2%
웰빙플러스의원 1
 
1.2%
원이비인후과의원 1
 
1.2%
우리정형외과의원 1
 
1.2%
우리의원 1
 
1.2%
온정의원 1
 
1.2%
옥재철정형외과의원 1
 
1.2%
Other values (69) 69
85.2%
2023-12-12T15:24:46.371629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 79
 
15.0%
의 71
 
13.4%
과 29
 
5.5%
내 13
 
2.5%
병 12
 
2.3%
아 12
 
2.3%
인 10
 
1.9%
우 8
 
1.5%
이 8
 
1.5%
정 8
 
1.5%
Other values (128) 278
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 520
98.5%
Space Separator 5
 
0.9%
Decimal Number 2
 
0.4%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 79
 
15.2%
의 71
 
13.7%
과 29
 
5.6%
내 13
 
2.5%
병 12
 
2.3%
아 12
 
2.3%
인 10
 
1.9%
우 8
 
1.5%
이 8
 
1.5%
정 8
 
1.5%
Other values (124) 270
51.9%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 520
98.5%
Common 7
 
1.3%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 79
 
15.2%
의 71
 
13.7%
과 29
 
5.6%
내 13
 
2.5%
병 12
 
2.3%
아 12
 
2.3%
인 10
 
1.9%
우 8
 
1.5%
이 8
 
1.5%
정 8
 
1.5%
Other values (124) 270
51.9%
Common
ValueCountFrequency (%)
5
71.4%
2 1
 
14.3%
1 1
 
14.3%
Latin
ValueCountFrequency (%)
C 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 520
98.5%
ASCII 8
 
1.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 79
 
15.2%
의 71
 
13.7%
과 29
 
5.6%
내 13
 
2.5%
병 12
 
2.3%
아 12
 
2.3%
인 10
 
1.9%
우 8
 
1.5%
이 8
 
1.5%
정 8
 
1.5%
Other values (124) 270
51.9%
ASCII
ValueCountFrequency (%)
5
62.5%
2 1
 
12.5%
C 1
 
12.5%
1 1
 
12.5%

주소
Text

Distinct75
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size740.0 B
2023-12-12T15:24:46.709261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length27.697368
Min length19

Characters and Unicode

Total characters2105
Distinct characters126
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique74 ?
Unique (%)97.4%

Sample

1st row경상남도 거제시 사등면 지석로 70
2nd row경상남도 거제시 거제중앙로 1875，(고현동)
3rd row경상남도 거제시 동문천로 52，(고현동)
4th row경상남도 거제시 거제중앙로 1925，(고현동) 402호
5th row경상남도 거제시 거제대로 2975，(장승포동)
ValueCountFrequency (%)
경상남도 76
20.5%
거제시 76
20.5%
2층 15
 
4.0%
거제중앙로 14
 
3.8%
옥포로 10
 
2.7%
거제대로 4
 
1.1%
서문로 4
 
1.1%
거제남서로 4
 
1.1%
3층 3
 
0.8%
장평로 3
 
0.8%
Other values (138) 162
43.7%
2023-12-12T15:24:47.219124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
327
 
15.5%
거 104
 
4.9%
제 104
 
4.9%
， 88
 
4.2%
상 87
 
4.1%
남 81
 
3.8%
시 77
 
3.7%
경 76
 
3.6%
도 76
 
3.6%
동 74
 
3.5%
Other values (116) 1011
48.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1238
58.8%
Space Separator 327
 
15.5%
Decimal Number 311
 
14.8%
Other Punctuation 88
 
4.2%
Open Punctuation 65
 
3.1%
Close Punctuation 65
 
3.1%
Dash Punctuation 11
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
거 104
 
8.4%
제 104
 
8.4%
상 87
 
7.0%
남 81
 
6.5%
시 77
 
6.2%
경 76
 
6.1%
도 76
 
6.1%
동 74
 
6.0%
로 73
 
5.9%
포 37
 
3.0%
Other values (101) 449
36.3%
Decimal Number
ValueCountFrequency (%)
2 68
21.9%
1 55
17.7%
3 32
10.3%
5 29
9.3%
4 26
 
8.4%
7 22
 
7.1%
6 22
 
7.1%
8 21
 
6.8%
9 19
 
6.1%
0 17
 
5.5%
Space Separator
ValueCountFrequency (%)
327
100.0%
Other Punctuation
ValueCountFrequency (%)
， 88
100.0%
Open Punctuation
ValueCountFrequency (%)
( 65
100.0%
Close Punctuation
ValueCountFrequency (%)
) 65
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1238
58.8%
Common 867
41.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
거 104
 
8.4%
제 104
 
8.4%
상 87
 
7.0%
남 81
 
6.5%
시 77
 
6.2%
경 76
 
6.1%
도 76
 
6.1%
동 74
 
6.0%
로 73
 
5.9%
포 37
 
3.0%
Other values (101) 449
36.3%
Common
ValueCountFrequency (%)
327
37.7%
， 88
 
10.1%
2 68
 
7.8%
( 65
 
7.5%
) 65
 
7.5%
1 55
 
6.3%
3 32
 
3.7%
5 29
 
3.3%
4 26
 
3.0%
7 22
 
2.5%
Other values (5) 90
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1238
58.8%
ASCII 779
37.0%
None 88
 
4.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
327
42.0%
2 68
 
8.7%
( 65
 
8.3%
) 65
 
8.3%
1 55
 
7.1%
3 32
 
4.1%
5 29
 
3.7%
4 26
 
3.3%
7 22
 
2.8%
6 22
 
2.8%
Other values (4) 68
 
8.7%
Hangul
ValueCountFrequency (%)
거 104
 
8.4%
제 104
 
8.4%
상 87
 
7.0%
남 81
 
6.5%
시 77
 
6.2%
경 76
 
6.1%
도 76
 
6.1%
동 74
 
6.0%
로 73
 
5.9%
포 37
 
3.0%
Other values (101) 449
36.3%
None
ValueCountFrequency (%)
， 88
100.0%

우편번호
Real number (ℝ)

HIGH CORRELATION 

Distinct35
Distinct (%)46.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean53261.658
Minimum53201
Maximum53331
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size816.0 B
2023-12-12T15:24:47.399982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum53201
5-th percentile53218.75
Q153237
median53253
Q353287
95-th percentile53322.75
Maximum53331
Range130
Interquartile range (IQR)50

Descriptive statistics

Standard deviation33.963727
Coefficient of variation (CV)0.00063767686
Kurtosis-0.64029823
Mean53261.658
Median Absolute Deviation (MAD)24.5
Skewness0.3855511
Sum4047886
Variance1153.5347
MonotonicityNot monotonic
2023-12-12T15:24:47.579370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
53251 9
 
11.8%
53222 6
 
7.9%
53252 5
 
6.6%
53305 4
 
5.3%
53223 3
 
3.9%
53290 3
 
3.9%
53228 3
 
3.9%
53255 3
 
3.9%
53274 2
 
2.6%
53331 2
 
2.6%
Other values (25) 36
47.4%
ValueCountFrequency (%)
53201 2
 
2.6%
53204 1
 
1.3%
53209 1
 
1.3%
53222 6
7.9%
53223 3
3.9%
53228 3
3.9%
53229 2
 
2.6%
53237 2
 
2.6%
53245 2
 
2.6%
53249 1
 
1.3%
ValueCountFrequency (%)
53331 2
2.6%
53328 2
2.6%
53321 1
 
1.3%
53317 1
 
1.3%
53316 1
 
1.3%
53315 2
2.6%
53305 4
5.3%
53304 1
 
1.3%
53296 1
 
1.3%
53292 1
 
1.3%

전화번호
Text

UNIQUE 

Distinct76
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size740.0 B
2023-12-12T15:24:47.869022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters912
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

Unique76 ?
Unique (%)100.0%

Sample

1st row055-634-0900
2nd row055-635-2900
3rd row055-632-8225
4th row055-633-0028
5th row055-682-5555
ValueCountFrequency (%)
055-634-0900 1
 
1.3%
055-681-2412 1
 
1.3%
055-680-0875 1
 
1.3%
055-637-0614 1
 
1.3%
055-632-8275 1
 
1.3%
055-635-7992 1
 
1.3%
055-633-8586 1
 
1.3%
055-636-3044 1
 
1.3%
055-638-4522 1
 
1.3%
055-635-2900 1
 
1.3%
Other values (66) 66
86.8%
2023-12-12T15:24:48.352172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 190
20.8%
- 152
16.7%
0 127
13.9%
6 101
11.1%
3 88
9.6%
8 71
 
7.8%
2 59
 
6.5%
7 50
 
5.5%
1 29
 
3.2%
4 26
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 760
83.3%
Dash Punctuation 152
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 190
25.0%
0 127
16.7%
6 101
13.3%
3 88
11.6%
8 71
 
9.3%
2 59
 
7.8%
7 50
 
6.6%
1 29
 
3.8%
4 26
 
3.4%
9 19
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 152
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 912
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 190
20.8%
- 152
16.7%
0 127
13.9%
6 101
11.1%
3 88
9.6%
8 71
 
7.8%
2 59
 
6.5%
7 50
 
5.5%
1 29
 
3.2%
4 26
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 912
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 190
20.8%
- 152
16.7%
0 127
13.9%
6 101
11.1%
3 88
9.6%
8 71
 
7.8%
2 59
 
6.5%
7 50
 
5.5%
1 29
 
3.2%
4 26
 
2.9%

팩스번호
Text

MISSING 

Distinct75
Distinct (%)100.0%
Missing1
Missing (%)1.3%
Memory size740.0 B
2023-12-12T15:24:48.689860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.053333
Min length12

Characters and Unicode

Total characters904
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

Unique75 ?
Unique (%)100.0%

Sample

1st row055-634-0901
2nd row055-635-1991
3rd row055-632-8226
4th row055-633-0029
5th row055-682-5506
ValueCountFrequency (%)
055-634-0901 1
 
1.3%
055-687-9029 1
 
1.3%
055-680-0876 1
 
1.3%
0504-007-0470 1
 
1.3%
055-632-7526 1
 
1.3%
055-635-7995 1
 
1.3%
055-633-8587 1
 
1.3%
055-636-5249 1
 
1.3%
055-638-4523 1
 
1.3%
055-681-2413 1
 
1.3%
Other values (65) 65
86.7%
2023-12-12T15:24:49.201882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 188
20.8%
- 150
16.6%
0 129
14.3%
6 94
10.4%
3 92
10.2%
8 66
 
7.3%
7 49
 
5.4%
2 49
 
5.4%
4 34
 
3.8%
1 29
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 754
83.4%
Dash Punctuation 150
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 188
24.9%
0 129
17.1%
6 94
12.5%
3 92
12.2%
8 66
 
8.8%
7 49
 
6.5%
2 49
 
6.5%
4 34
 
4.5%
1 29
 
3.8%
9 24
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 150
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 904
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 188
20.8%
- 150
16.6%
0 129
14.3%
6 94
10.4%
3 92
10.2%
8 66
 
7.3%
7 49
 
5.4%
2 49
 
5.4%
4 34
 
3.8%
1 29
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 904
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 188
20.8%
- 150
16.6%
0 129
14.3%
6 94
10.4%
3 92
10.2%
8 66
 
7.3%
7 49
 
5.4%
2 49
 
5.4%
4 34
 
3.8%
1 29
 
3.2%

종별구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct5
Distinct (%)6.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
의원
64 
병원
 
6
종합병원
 
3
요양병원
 
2
정신요양병원
 
1

Length

Max length6
Median length2
Mean length2.1842105
Min length2

Unique

Unique1 ?
Unique (%)1.3%

Sample

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

Common Values

ValueCountFrequency (%)
의원 64
84.2%
병원 6
 
7.9%
종합병원 3
 
3.9%
요양병원 2
 
2.6%
정신요양병원 1
 
1.3%

Length

2023-12-12T15:24:49.375111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:24:49.519926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
의원 64
84.2%
병원 6
 
7.9%
종합병원 3
 
3.9%
요양병원 2
 
2.6%
정신요양병원 1
 
1.3%

어린이 국가예방접종
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
√
50 
<NA>
26 

Length

Max length4
Median length1
Mean length2.0263158
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
√ 50
65.8%
<NA> 26
34.2%

Length

2023-12-12T15:24:49.670342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:24:49.784588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
√ 50
65.8%
na 26
34.2%

건강여성첫걸음클리닉사업
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
<NA>
44 
√
32 

Length

Max length4
Median length4
Mean length2.7368421
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
57.9%
√ 32
42.1%

Length

2023-12-12T15:24:49.906744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:24:50.015282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
57.9%
√ 32
42.1%

B형주산기
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
<NA>
61 
√
15 

Length

Max length4
Median length4
Mean length3.4078947
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 61
80.3%
√ 15
 
19.7%

Length

2023-12-12T15:24:50.141733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:24:50.256057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 61
80.3%
√ 15
 
19.7%

인플(어린이_13세이하)
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
√
44 
<NA>
32 

Length

Max length4
Median length1
Mean length2.2631579
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
√ 44
57.9%
<NA> 32
42.1%

Length

2023-12-12T15:24:50.380340image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:24:50.488031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
√ 44
57.9%
na 32
42.1%

인플(어르신)
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
√
72 
<NA>
 
4

Length

Max length4
Median length1
Mean length1.1578947
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row√
2nd row√
3rd row√
4th row√
5th row√

Common Values

ValueCountFrequency (%)
√ 72
94.7%
<NA> 4
 
5.3%

Length

2023-12-12T15:24:50.632083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:24:50.754470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
√ 72
94.7%
na 4
 
5.3%

인플(임신부)
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
<NA>
40 
√
36 

Length

Max length4
Median length4
Mean length2.5789474
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 40
52.6%
√ 36
47.4%

Length

2023-12-12T15:24:50.861739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:24:50.970506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 40
52.6%
√ 36
47.4%

폐렴구균(어르신)
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
√
55 
<NA>
21 

Length

Max length4
Median length1
Mean length1.8289474
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
√ 55
72.4%
<NA> 21
 
27.6%

Length

2023-12-12T15:24:51.083223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:24:51.193969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
√ 55
72.4%
na 21
 
27.6%

코로나19
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size740.0 B
√
63 
<NA>
13 

Length

Max length4
Median length1
Mean length1.5131579
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row√
2nd row√
3rd row√
4th row√
5th row√

Common Values

ValueCountFrequency (%)
√ 63
82.9%
<NA> 13
 
17.1%

Length

2023-12-12T15:24:51.301864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:24:51.403433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
√ 63
82.9%
na 13
 
17.1%

기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size740.0 B
2022-07-28
76 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-07-28
2nd row2022-07-28
3rd row2022-07-28
4th row2022-07-28
5th row2022-07-28

Common Values

ValueCountFrequency (%)
2022-07-28 76
100.0%

Length

2023-12-12T15:24:51.541052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:24:51.660856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-07-28 76
100.0%

Interactions

2023-12-12T15:24:43.943813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:24:43.696256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:24:44.067739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:24:43.816019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:24:51.767319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관코드의료기관명주소우편번호전화번호팩스번호종별구분
기관코드1.0001.0001.0000.5321.0001.0000.990
의료기관명1.0001.0001.0001.0001.0001.0001.000
주소1.0001.0001.0001.0001.0001.0001.000
우편번호0.5321.0001.0001.0001.0001.0000.479
전화번호1.0001.0001.0001.0001.0001.0001.000
팩스번호1.0001.0001.0001.0001.0001.0001.000
종별구분0.9901.0001.0000.4791.0001.0001.000
2023-12-12T15:24:51.901752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인플(어린이_13세이하)어린이 국가예방접종B형주산기인플(어르신)코로나19건강여성첫걸음클리닉사업종별구분인플(임신부)폐렴구균(어르신)
인플(어린이_13세이하)1.0001.0001.0001.0001.0001.0001.0001.0001.000
어린이 국가예방접종1.0001.0001.0001.0001.0001.0001.0001.0001.000
B형주산기1.0001.0001.0001.0001.0001.0001.0001.0001.000
인플(어르신)1.0001.0001.0001.0001.0001.0001.0001.0001.000
코로나191.0001.0001.0001.0001.0001.0001.0001.0001.000
건강여성첫걸음클리닉사업1.0001.0001.0001.0001.0001.0001.0001.0001.000
종별구분1.0001.0001.0001.0001.0001.0001.0001.0001.000
인플(임신부)1.0001.0001.0001.0001.0001.0001.0001.0001.000
폐렴구균(어르신)1.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-12T15:24:52.051070image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
기관코드우편번호종별구분어린이 국가예방접종건강여성첫걸음클리닉사업B형주산기인플(어린이_13세이하)인플(어르신)인플(임신부)폐렴구균(어르신)코로나19
기관코드1.0000.0600.8581.0001.0001.0001.0001.0001.0001.0001.000
우편번호0.0601.0000.1551.0001.0001.0001.0001.0001.0001.0001.000
종별구분0.8580.1551.0001.0001.0001.0001.0001.0001.0001.0001.000
어린이 국가예방접종1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
건강여성첫걸음클리닉사업1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
B형주산기1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
인플(어린이_13세이하)1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
인플(어르신)1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
인플(임신부)1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
폐렴구균(어르신)1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
코로나191.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2023-12-12T15:24:44.237626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:24:44.895880image/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

관할보건소기관코드의료기관명주소우편번호전화번호팩스번호종별구분어린이 국가예방접종건강여성첫걸음클리닉사업B형주산기인플(어린이_13세이하)인플(어르신)인플(임신부)폐렴구균(어르신)코로나19기준일자
0경상남도거제시보건소3829020121C한일병원경상남도 거제시 사등면 지석로 7053275055-634-0900055-634-0901정신요양병원<NA><NA><NA><NA>√<NA><NA>√2022-07-28
1경상남도거제시보건소38341034감창우내과의원경상남도 거제시 거제중앙로 1875，(고현동)53254055-635-2900055-635-1991의원<NA><NA><NA><NA>√<NA>√√2022-07-28
2경상남도거제시보건소38203774거제아동병원경상남도 거제시 동문천로 52，(고현동)53259055-632-8225055-632-8226병원√√√√√√√√2022-07-28
3경상남도거제시보건소38350009거제아동의원경상남도 거제시 거제중앙로 1925，(고현동) 402호53252055-633-0028055-633-0029의원√√√√√√√√2022-07-28
4경상남도거제시보건소38283913거제요양병원경상남도 거제시 거제대로 2975，(장승포동)53321055-682-5555055-682-5506요양병원<NA><NA><NA><NA>√<NA>√√2022-07-28
5경상남도거제시보건소38317168거제의원경상남도 거제시 거제면 읍내로2길 2753286055-632-50720504-237-8023의원<NA><NA><NA><NA>√<NA>√<NA>2022-07-28
6경상남도거제시보건소38205874거제중앙병원경상남도 거제시 고현로 89，(고현동)53253055-635-3211055-635-2340병원<NA><NA><NA><NA>√<NA>√√2022-07-28
7경상남도거제시보건소38345871거제통증연합의원경상남도 거제시 능포로 126，(능포동)53315055-681-4000055-681-4045의원√<NA><NA><NA>√<NA><NA><NA>2022-07-28
8경상남도거제시보건소38340518계룡내과의원경상남도 거제시 고현로14길 25，(고현동) 계룡내과의원53260055-634-2828055-634-0711의원<NA><NA><NA><NA>√<NA>√<NA>2022-07-28
9경상남도거제시보건소38345978고려의원경상남도 거제시 중곡로5길 2，(고현동) 남영상가 2층53245055-635-7532055-635-7534의원√√<NA>√√√√√2022-07-28
관할보건소기관코드의료기관명주소우편번호전화번호팩스번호종별구분어린이 국가예방접종건강여성첫걸음클리닉사업B형주산기인플(어린이_13세이하)인플(어르신)인플(임신부)폐렴구균(어르신)코로나19기준일자
66경상남도거제시보건소38312760참나은가정의원경상남도 거제시 수양로 465，(수월동)53237055-638-2426055-638-2427의원√√<NA>√√<NA>√√2022-07-28
67경상남도거제시보건소38324172청록의원경상남도 거제시 하청면 하청로 4-1，(혜성빌딩2층)53204055-638-5972055-638-5973의원<NA><NA><NA><NA>√<NA><NA>√2022-07-28
68경상남도거제시보건소38326205큰사랑의원경상남도 거제시 장목면 옥포대첩로 160753201055-636-1678055-636-1679의원√<NA><NA>√√<NA>√√2022-07-28
69경상남도거제시보건소38319837파티마정형외과연합의원경상남도 거제시 거제대로 3744-1，(옥포동)53228055-688-3663055-688-3665의원<NA><NA><NA><NA>√<NA>√√2022-07-28
70경상남도거제시보건소38315505평화의원경상남도 거제시 옥포로 238，(옥포동) 1층53222055-688-0999055-688-9050의원√√<NA>√√√√√2022-07-28
71경상남도거제시보건소38347156하나의원경상남도 거제시 사등면 거제남서로 5344，2층53274055-636-7583055-636-7584의원√<NA><NA>√√<NA>√√2022-07-28
72경상남도거제시보건소38320444한마음의원경상남도 거제시 장평1로 105，(장평동) 2층53265055-633-5443055-633-5444의원√√<NA>√√<NA>√√2022-07-28
73경상남도거제시보건소38320967한사랑내과의원경상남도 거제시 옥포로 221，(옥포동，동흥빌딩) 2층53223055-687-2344055-687-2845의원√√√√√√√√2022-07-28
74경상남도거제시보건소38312956한솔의원경상남도 거제시 옥포로 187，(옥포동)53228055-687-3080055-687-3079의원<NA><NA><NA><NA>√<NA><NA>√2022-07-28
75경상남도거제시보건소38335077현대의원경상남도 거제시 동부면 거제남서로 3066，(현대의원)53331055-632-7227055-632-2334의원<NA><NA><NA><NA>√<NA>√√2022-07-28