Overview

Dataset statistics

Number of variables25
Number of observations51
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.1 KiB
Average record size in memory222.6 B

Variable types

Numeric1
Text3
Categorical21

Dataset

Description부산광역시남구필수예방접종위탁의료기관현황_20210727
Author부산광역시 남구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15050535

Alerts

BCG(피내) is highly imbalanced (67.7%)Imbalance
일본뇌염 (사백신-쥐뇌조직) is highly imbalanced (76.1%)Imbalance
인플루엔자 (0_5ml)(영점 오) is highly imbalanced (58.5%)Imbalance
목록 has unique valuesUnique
의료기관명 has unique valuesUnique
대표자명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:32:07.437777
Analysis finished2023-12-10 16:32:07.876568
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

목록
Real number (ℝ)

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26
Minimum1
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T01:32:07.994238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.5
Q113.5
median26
Q338.5
95-th percentile48.5
Maximum51
Range50
Interquartile range (IQR)25

Descriptive statistics

Standard deviation14.866069
Coefficient of variation (CV)0.57177187
Kurtosis-1.2
Mean26
Median Absolute Deviation (MAD)13
Skewness0
Sum1326
Variance221
MonotonicityStrictly increasing
2023-12-11T01:32:08.148868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
2.0%
2 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 (41) 41
80.4%
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 (%)
51 1
2.0%
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%

의료기관명
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-11T01:32:08.487319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length14
Mean length8.7647059
Min length3

Characters and Unicode

Total characters447
Distinct characters121
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique51 ?
Unique (%)100.0%

Sample

1st row(사)대한결핵협회부산광역시지부 복십자의원
2nd rowW365메디컬의원
3rd row강동섭소아청소년과의원
4th row길민경산부인과의원
5th row김계영내과.소아청소년과의원
ValueCountFrequency (%)
사)대한결핵협회부산광역시지부 1
 
1.9%
비타민내과의원 1
 
1.9%
조영이비인후과의원 1
 
1.9%
수미지이비인후과의원 1
 
1.9%
신봉식이비인후과의원 1
 
1.9%
신진근이비인후과의원 1
 
1.9%
아산김의원 1
 
1.9%
안무경가정의학과의원 1
 
1.9%
에스산부인과의원 1
 
1.9%
우리가정의학과의원 1
 
1.9%
Other values (43) 43
81.1%
2023-12-11T01:32:08.966544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 51
 
11.4%
의 50
 
11.2%
과 37
 
8.3%
소 22
 
4.9%
인 17
 
3.8%
이 14
 
3.1%
비 13
 
2.9%
아 12
 
2.7%
후 12
 
2.7%
년 10
 
2.2%
Other values (111) 209
46.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 436
97.5%
Decimal Number 3
 
0.7%
Open Punctuation 2
 
0.4%
Space Separator 2
 
0.4%
Close Punctuation 2
 
0.4%
Other Punctuation 1
 
0.2%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 51
 
11.7%
의 50
 
11.5%
과 37
 
8.5%
소 22
 
5.0%
인 17
 
3.9%
이 14
 
3.2%
비 13
 
3.0%
아 12
 
2.8%
후 12
 
2.8%
년 10
 
2.3%
Other values (103) 198
45.4%
Decimal Number
ValueCountFrequency (%)
5 1
33.3%
6 1
33.3%
3 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
W 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 436
97.5%
Common 10
 
2.2%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 51
 
11.7%
의 50
 
11.5%
과 37
 
8.5%
소 22
 
5.0%
인 17
 
3.9%
이 14
 
3.2%
비 13
 
3.0%
아 12
 
2.8%
후 12
 
2.8%
년 10
 
2.3%
Other values (103) 198
45.4%
Common
ValueCountFrequency (%)
( 2
20.0%
2
20.0%
) 2
20.0%
5 1
10.0%
. 1
10.0%
6 1
10.0%
3 1
10.0%
Latin
ValueCountFrequency (%)
W 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 436
97.5%
ASCII 11
 
2.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 51
 
11.7%
의 50
 
11.5%
과 37
 
8.5%
소 22
 
5.0%
인 17
 
3.9%
이 14
 
3.2%
비 13
 
3.0%
아 12
 
2.8%
후 12
 
2.8%
년 10
 
2.3%
Other values (103) 198
45.4%
ASCII
ValueCountFrequency (%)
( 2
18.2%
2
18.2%
) 2
18.2%
5 1
9.1%
. 1
9.1%
6 1
9.1%
3 1
9.1%
W 1
9.1%

대표자명
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-11T01:32:09.291731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters153
Distinct characters77
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

Unique51 ?
Unique (%)100.0%

Sample

1st row경만호
2nd row김남표
3rd row강동섭
4th row길민경
5th row김계영
ValueCountFrequency (%)
경만호 1
 
2.0%
김형복 1
 
2.0%
이재완 1
 
2.0%
신봉식 1
 
2.0%
신진근 1
 
2.0%
김경연 1
 
2.0%
안무경 1
 
2.0%
김정선 1
 
2.0%
윤성욱 1
 
2.0%
서형석 1
 
2.0%
Other values (41) 41
80.4%
2023-12-11T01:32:09.750111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 11
 
7.2%
경 6
 
3.9%
진 6
 
3.9%
이 6
 
3.9%
정 5
 
3.3%
영 5
 
3.3%
현 5
 
3.3%
조 4
 
2.6%
박 4
 
2.6%
호 4
 
2.6%
Other values (67) 97
63.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 153
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 11
 
7.2%
경 6
 
3.9%
진 6
 
3.9%
이 6
 
3.9%
정 5
 
3.3%
영 5
 
3.3%
현 5
 
3.3%
조 4
 
2.6%
박 4
 
2.6%
호 4
 
2.6%
Other values (67) 97
63.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 153
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 11
 
7.2%
경 6
 
3.9%
진 6
 
3.9%
이 6
 
3.9%
정 5
 
3.3%
영 5
 
3.3%
현 5
 
3.3%
조 4
 
2.6%
박 4
 
2.6%
호 4
 
2.6%
Other values (67) 97
63.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 153
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 11
 
7.2%
경 6
 
3.9%
진 6
 
3.9%
이 6
 
3.9%
정 5
 
3.3%
영 5
 
3.3%
현 5
 
3.3%
조 4
 
2.6%
박 4
 
2.6%
호 4
 
2.6%
Other values (67) 97
63.4%

전화번호
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-11T01:32:10.084695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters612
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

Unique51 ?
Unique (%)100.0%

Sample

1st row051-611-3622
2nd row051-622-0365
3rd row051-634-9305
4th row051-621-2616
5th row051-627-7000
ValueCountFrequency (%)
051-611-3622 1
 
2.0%
051-647-0075 1
 
2.0%
051-612-8058 1
 
2.0%
051-623-7337 1
 
2.0%
051-612-5075 1
 
2.0%
051-626-8835 1
 
2.0%
051-626-3030 1
 
2.0%
051-715-7977 1
 
2.0%
051-622-5690 1
 
2.0%
051-711-6688 1
 
2.0%
Other values (41) 41
80.4%
2023-12-11T01:32:10.576405image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 102
16.7%
1 93
15.2%
0 82
13.4%
5 79
12.9%
6 66
10.8%
2 49
8.0%
3 39
 
6.4%
7 36
 
5.9%
8 24
 
3.9%
4 22
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 510
83.3%
Dash Punctuation 102
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 93
18.2%
0 82
16.1%
5 79
15.5%
6 66
12.9%
2 49
9.6%
3 39
7.6%
7 36
 
7.1%
8 24
 
4.7%
4 22
 
4.3%
9 20
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 102
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 612
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 102
16.7%
1 93
15.2%
0 82
13.4%
5 79
12.9%
6 66
10.8%
2 49
8.0%
3 39
 
6.4%
7 36
 
5.9%
8 24
 
3.9%
4 22
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 612
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 102
16.7%
1 93
15.2%
0 82
13.4%
5 79
12.9%
6 66
10.8%
2 49
8.0%
3 39
 
6.4%
7 36
 
5.9%
8 24
 
3.9%
4 22
 
3.6%

BCG(피내)
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
48 
0
 
3

Length

Max length4
Median length4
Mean length3.8235294
Min length1

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> 48
94.1%
0 3
 
5.9%

Length

2023-12-11T01:32:10.751549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:11.003542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
94.1%
0 3
 
5.9%

B형간염
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
31 
0
20 

Length

Max length4
Median length4
Mean length2.8235294
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row0
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 31
60.8%
0 20
39.2%

Length

2023-12-11T01:32:11.133845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:11.269038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
60.8%
0 20
39.2%

DTaP
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
30 
0
21 

Length

Max length4
Median length4
Mean length2.7647059
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row0
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 30
58.8%
0 21
41.2%

Length

2023-12-11T01:32:11.455296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:11.586960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
58.8%
0 21
41.2%

Td
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
30 
0
21 

Length

Max length4
Median length4
Mean length2.7647059
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row0
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 30
58.8%
0 21
41.2%

Length

2023-12-11T01:32:11.721121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:11.846643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
58.8%
0 21
41.2%

Tdap
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
0
29 
<NA>
22 

Length

Max length4
Median length1
Mean length2.2941176
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
0 29
56.9%
<NA> 22
43.1%

Length

2023-12-11T01:32:11.997844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:12.141301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 29
56.9%
na 22
43.1%

폴리오
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
36 
0
15 

Length

Max length4
Median length4
Mean length3.1176471
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row<NA>
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 36
70.6%
0 15
29.4%

Length

2023-12-11T01:32:12.261109image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:12.392653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
70.6%
0 15
29.4%

MMR
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
29 
0
22 

Length

Max length4
Median length4
Mean length2.7058824
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row0
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 29
56.9%
0 22
43.1%

Length

2023-12-11T01:32:12.533136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:12.657925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
56.9%
0 22
43.1%

DTaP-IPV
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
31 
0
20 

Length

Max length4
Median length4
Mean length2.8235294
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row0
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 31
60.8%
0 20
39.2%

Length

2023-12-11T01:32:12.804432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:12.916416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
60.8%
0 20
39.2%

Hib
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
30 
0
21 

Length

Max length4
Median length4
Mean length2.7647059
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row0
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 30
58.8%
0 21
41.2%

Length

2023-12-11T01:32:13.052778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:13.207292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 30
58.8%
0 21
41.2%

DTaP-IPV_Hib
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
34 
0
17 

Length

Max length4
Median length4
Mean length3
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row0
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 34
66.7%
0 17
33.3%

Length

2023-12-11T01:32:13.340617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:13.449107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
66.7%
0 17
33.3%

폐렴구균 (PCV10)
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
38 
0
13 

Length

Max length4
Median length4
Mean length3.2352941
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row0
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 38
74.5%
0 13
 
25.5%

Length

2023-12-11T01:32:13.612127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:13.748887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
74.5%
0 13
 
25.5%

폐렴구균 (PCV13)
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
32 
0
19 

Length

Max length4
Median length4
Mean length2.8823529
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row0
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 32
62.7%
0 19
37.3%

Length

2023-12-11T01:32:13.888634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:14.004763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
62.7%
0 19
37.3%

폐렴구균 (PPSV23)
Categorical

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
38 
0
12 
.
 
1

Length

Max length4
Median length4
Mean length3.2352941
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row<NA>
2nd row<NA>
3rd row0
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 38
74.5%
0 12
 
23.5%
. 1
 
2.0%

Length

2023-12-11T01:32:14.140546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:14.248223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
74.5%
0 12
 
23.5%
1
 
2.0%

수두
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
33 
0
18 

Length

Max length4
Median length4
Mean length2.9411765
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row0
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 33
64.7%
0 18
35.3%

Length

2023-12-11T01:32:14.392016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:14.528627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 33
64.7%
0 18
35.3%

A형간염
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
29 
0
22 

Length

Max length4
Median length4
Mean length2.7058824
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row0
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 29
56.9%
0 22
43.1%

Length

2023-12-11T01:32:14.671703image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:14.819810image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 29
56.9%
0 22
43.1%

일본뇌염 (사백신-쥐뇌조직)
Categorical

IMBALANCE 

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
49 
0
 
2

Length

Max length4
Median length4
Mean length3.8823529
Min length1

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
96.1%
0 2
 
3.9%

Length

2023-12-11T01:32:14.990715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:15.133596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 49
96.1%
0 2
 
3.9%

일본뇌염 (사백신-베로세포)
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
26 
0
25 

Length

Max length4
Median length4
Mean length2.5294118
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row0
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 26
51.0%
0 25
49.0%

Length

2023-12-11T01:32:15.277486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:15.393486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 26
51.0%
0 25
49.0%

일본뇌염 (생백신)
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
34 
0
17 

Length

Max length4
Median length4
Mean length3
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row0
3rd row0
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
<NA> 34
66.7%
0 17
33.3%

Length

2023-12-11T01:32:15.518533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:15.645551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
66.7%
0 17
33.3%

Hpv
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
0
31 
<NA>
20 

Length

Max length4
Median length1
Mean length2.1764706
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 31
60.8%
<NA> 20
39.2%

Length

2023-12-11T01:32:15.790205image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:15.914733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 31
60.8%
na 20
39.2%

인플루엔 (0_25ml) (영점이오)
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
0
45 
<NA>
6 

Length

Max length4
Median length1
Mean length1.3529412
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
0 45
88.2%
<NA> 6
 
11.8%

Length

2023-12-11T01:32:16.070520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:16.463895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 45
88.2%
na 6
 
11.8%

인플루엔자 (0_5ml)(영점 오)
Categorical

IMBALANCE 

Distinct3
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
0
44 
<NA>
6 
.
 
1

Length

Max length4
Median length1
Mean length1.3529412
Min length1

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row0
2nd row0
3rd row0
4th row<NA>
5th row0

Common Values

ValueCountFrequency (%)
0 44
86.3%
<NA> 6
 
11.8%
. 1
 
2.0%

Length

2023-12-11T01:32:16.573010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:16.683816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 44
86.3%
na 6
 
11.8%
1
 
2.0%

Sample

목록의료기관명대표자명전화번호BCG(피내)B형간염DTaPTdTdap폴리오MMRDTaP-IPVHibDTaP-IPV_Hib폐렴구균 (PCV10)폐렴구균 (PCV13)폐렴구균 (PPSV23)수두A형간염일본뇌염 (사백신-쥐뇌조직)일본뇌염 (사백신-베로세포)일본뇌염 (생백신)Hpv인플루엔 (0_25ml) (영점이오)인플루엔자 (0_5ml)(영점 오)
01(사)대한결핵협회부산광역시지부 복십자의원경만호051-611-3622<NA><NA><NA><NA>0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>000
12W365메디컬의원김남표051-622-0365<NA>000000000<NA>0<NA>00<NA>00000
23강동섭소아청소년과의원강동섭051-634-9305<NA>0000<NA>000000000<NA>00000
34길민경산부인과의원길민경051-621-2616<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA><NA>
45김계영내과.소아청소년과의원김계영051-627-7000<NA>00000000000<NA>00<NA>00000
56김성미소아청소년과의원김성미051-714-2046000<NA>00000000000<NA>00000
67김소아청소년과의원김금주051-645-8988<NA>00000000000000<NA>00000
78김효준내과의원김효준051-628-6422<NA><NA>0000000<NA><NA><NA><NA><NA><NA><NA>0<NA>000
89나은소아청소년과의원김인숙051-623-9944000000000000000<NA>00000
910늘편안하내과의원하재경051-711-8270<NA><NA><NA>00<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>0<NA>000
목록의료기관명대표자명전화번호BCG(피내)B형간염DTaPTdTdap폴리오MMRDTaP-IPVHibDTaP-IPV_Hib폐렴구균 (PCV10)폐렴구균 (PCV13)폐렴구균 (PPSV23)수두A형간염일본뇌염 (사백신-쥐뇌조직)일본뇌염 (사백신-베로세포)일본뇌염 (생백신)Hpv인플루엔 (0_25ml) (영점이오)인플루엔자 (0_5ml)(영점 오)
4142조진수소아청소년과의원조진수051-625-9933<NA>00000000000000<NA>00000
4243진도순이비인후과의원진도순051-646-4321<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>00
4344참사랑복지의원윤갑진051-647-4002<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>00
4445최정화소아청소년과의원최정화051-612-1275<NA>00000000000000000000
4546코끼리소아청소년과의원권현섭051-633-8200<NA>00<NA>0<NA>000000<NA>00<NA>00000
4647평화의원조진형051-622-3072<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>00
4748한길내과의원이민재051-633-1332<NA><NA>00000<NA>0<NA><NA>0<NA>00<NA>00000
4849한빛내과의원안규선051-645-6566<NA>0000<NA>000<NA><NA><NA><NA><NA>0000000
4950한정욱이비인후과의원한정욱051-636-9419<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>00
5051헬로소아청소년과의원박수경051-612-0677<NA>00000000000000<NA>00000