Overview

Dataset statistics

Number of variables26
Number of observations57
Missing cells55
Missing cells (%)3.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.8 KiB
Average record size in memory211.3 B

Variable types

Numeric1
Text4
Categorical21

Dataset

Description부산광역시 남구 필수예방접종 위탁의료기관 현황(의료기관명,대표자명,전화번호 등) 자료 제공 및 참여 백신정보 제공
URLhttps://www.data.go.kr/data/15050535/fileData.do

Alerts

피내(BCG) has constant value ""Constant
피내(BCG) has 55 (96.5%) missing valuesMissing
목록 has unique valuesUnique
의료기관명 has unique valuesUnique
대표자명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:57:30.261082
Analysis finished2023-12-12 23:57:30.573964
Duration0.31 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

목록
Real number (ℝ)

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean29
Minimum1
Maximum57
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size645.0 B
2023-12-13T08:57:30.632337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.8
Q115
median29
Q343
95-th percentile54.2
Maximum57
Range56
Interquartile range (IQR)28

Descriptive statistics

Standard deviation16.598193
Coefficient of variation (CV)0.57235147
Kurtosis-1.2
Mean29
Median Absolute Deviation (MAD)14
Skewness0
Sum1653
Variance275.5
MonotonicityStrictly increasing
2023-12-13T08:57:30.746907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.8%
44 1
 
1.8%
32 1
 
1.8%
33 1
 
1.8%
34 1
 
1.8%
35 1
 
1.8%
36 1
 
1.8%
37 1
 
1.8%
38 1
 
1.8%
39 1
 
1.8%
Other values (47) 47
82.5%
ValueCountFrequency (%)
1 1
1.8%
2 1
1.8%
3 1
1.8%
4 1
1.8%
5 1
1.8%
6 1
1.8%
7 1
1.8%
8 1
1.8%
9 1
1.8%
10 1
1.8%
ValueCountFrequency (%)
57 1
1.8%
56 1
1.8%
55 1
1.8%
54 1
1.8%
53 1
1.8%
52 1
1.8%
51 1
1.8%
50 1
1.8%
49 1
1.8%
48 1
1.8%

의료기관명
Text

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-13T08:57:30.984826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length13
Mean length8.7017544
Min length3

Characters and Unicode

Total characters496
Distinct characters132
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

Unique57 ?
Unique (%)100.0%

Sample

1st row(사)대한결핵협회부산광역시지부 복십자의원
2nd rowW365메디컬의원
3rd row강동섭소아청소년과의원
4th row길민경산부인과의원
5th row김계영내과.소아청소년과의원
ValueCountFrequency (%)
사)대한결핵협회부산광역시지부 1
 
1.7%
이의원 1
 
1.7%
세종의원 1
 
1.7%
손내과의원 1
 
1.7%
수미지이비인후과의원 1
 
1.7%
슬기로운내과의원 1
 
1.7%
신봉식이비인후과의원 1
 
1.7%
신진근이비인후과의원 1
 
1.7%
아산김의원 1
 
1.7%
안무경가정의학과의원 1
 
1.7%
Other values (49) 49
83.1%
2023-12-13T08:57:31.340408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
원 57
 
11.5%
의 57
 
11.5%
과 43
 
8.7%
소 23
 
4.6%
인 19
 
3.8%
이 16
 
3.2%
비 15
 
3.0%
후 14
 
2.8%
아 13
 
2.6%
내 11
 
2.2%
Other values (122) 228
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 485
97.8%
Decimal Number 3
 
0.6%
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 57
 
11.8%
의 57
 
11.8%
과 43
 
8.9%
소 23
 
4.7%
인 19
 
3.9%
이 16
 
3.3%
비 15
 
3.1%
후 14
 
2.9%
아 13
 
2.7%
내 11
 
2.3%
Other values (114) 217
44.7%
Decimal Number
ValueCountFrequency (%)
3 1
33.3%
6 1
33.3%
5 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 485
97.8%
Common 10
 
2.0%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 57
 
11.8%
의 57
 
11.8%
과 43
 
8.9%
소 23
 
4.7%
인 19
 
3.9%
이 16
 
3.3%
비 15
 
3.1%
후 14
 
2.9%
아 13
 
2.7%
내 11
 
2.3%
Other values (114) 217
44.7%
Common
ValueCountFrequency (%)
( 2
20.0%
2
20.0%
) 2
20.0%
. 1
10.0%
3 1
10.0%
6 1
10.0%
5 1
10.0%
Latin
ValueCountFrequency (%)
W 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 485
97.8%
ASCII 11
 
2.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
원 57
 
11.8%
의 57
 
11.8%
과 43
 
8.9%
소 23
 
4.7%
인 19
 
3.9%
이 16
 
3.3%
비 15
 
3.1%
후 14
 
2.9%
아 13
 
2.7%
내 11
 
2.3%
Other values (114) 217
44.7%
ASCII
ValueCountFrequency (%)
( 2
18.2%
2
18.2%
) 2
18.2%
. 1
9.1%
W 1
9.1%
3 1
9.1%
6 1
9.1%
5 1
9.1%

대표자명
Text

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-13T08:57:31.571887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters171
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

Unique57 ?
Unique (%)100.0%

Sample

1st row신민석
2nd row김남표
3rd row강동섭
4th row길민경
5th row김계영
ValueCountFrequency (%)
신민석 1
 
1.8%
김형복 1
 
1.8%
손혜경 1
 
1.8%
이재완 1
 
1.8%
이범준 1
 
1.8%
신봉식 1
 
1.8%
신진근 1
 
1.8%
김경연 1
 
1.8%
안무경 1
 
1.8%
양성연 1
 
1.8%
Other values (47) 47
82.5%
2023-12-13T08:57:31.908266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 13
 
7.6%
이 7
 
4.1%
경 6
 
3.5%
현 6
 
3.5%
진 6
 
3.5%
정 5
 
2.9%
성 5
 
2.9%
영 5
 
2.9%
신 5
 
2.9%
조 4
 
2.3%
Other values (67) 109
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 171
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 13
 
7.6%
이 7
 
4.1%
경 6
 
3.5%
현 6
 
3.5%
진 6
 
3.5%
정 5
 
2.9%
성 5
 
2.9%
영 5
 
2.9%
신 5
 
2.9%
조 4
 
2.3%
Other values (67) 109
63.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 171
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 13
 
7.6%
이 7
 
4.1%
경 6
 
3.5%
현 6
 
3.5%
진 6
 
3.5%
정 5
 
2.9%
성 5
 
2.9%
영 5
 
2.9%
신 5
 
2.9%
조 4
 
2.3%
Other values (67) 109
63.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 171
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 13
 
7.6%
이 7
 
4.1%
경 6
 
3.5%
현 6
 
3.5%
진 6
 
3.5%
정 5
 
2.9%
성 5
 
2.9%
영 5
 
2.9%
신 5
 
2.9%
조 4
 
2.3%
Other values (67) 109
63.7%

전화번호
Text

UNIQUE 

Distinct57
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size588.0 B
2023-12-13T08:57:32.131003image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters684
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

Unique57 ?
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
 
1.8%
051-647-0075 1
 
1.8%
051-627-2626 1
 
1.8%
051-612-8058 1
 
1.8%
051-645-3388 1
 
1.8%
051-623-7337 1
 
1.8%
051-612-5075 1
 
1.8%
051-626-8835 1
 
1.8%
051-626-3030 1
 
1.8%
051-624-7582 1
 
1.8%
Other values (47) 47
82.5%
2023-12-13T08:57:32.457303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 114
16.7%
1 106
15.5%
0 94
13.7%
5 86
12.6%
6 72
10.5%
2 54
7.9%
7 44
 
6.4%
3 38
 
5.6%
8 28
 
4.1%
4 26
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 570
83.3%
Dash Punctuation 114
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 106
18.6%
0 94
16.5%
5 86
15.1%
6 72
12.6%
2 54
9.5%
7 44
7.7%
3 38
 
6.7%
8 28
 
4.9%
4 26
 
4.6%
9 22
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 114
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 684
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 114
16.7%
1 106
15.5%
0 94
13.7%
5 86
12.6%
6 72
10.5%
2 54
7.9%
7 44
 
6.4%
3 38
 
5.6%
8 28
 
4.1%
4 26
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 684
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 114
16.7%
1 106
15.5%
0 94
13.7%
5 86
12.6%
6 72
10.5%
2 54
7.9%
7 44
 
6.4%
3 38
 
5.6%
8 28
 
4.1%
4 26
 
3.8%

피내(BCG)
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing55
Missing (%)96.5%
Memory size588.0 B
2023-12-13T08:57:32.539966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length1
Median length1
Mean length1
Min length1

Characters and Unicode

Total characters2
Distinct characters1
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 row√
2nd row√
ValueCountFrequency (%)
√ 2
100.0%
2023-12-13T08:57:32.707048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
√ 2
100.0%

Most occurring categories

ValueCountFrequency (%)
Math Symbol 2
100.0%

Most frequent character per category

Math Symbol
ValueCountFrequency (%)
√ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
√ 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Math Operators 2
100.0%

Most frequent character per block

Math Operators
ValueCountFrequency (%)
√ 2
100.0%

B형간염
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
39 
√
18 

Length

Max length4
Median length4
Mean length3.0526316
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
68.4%
√ 18
31.6%

Length

2023-12-13T08:57:32.811045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:57:32.896807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
68.4%
√ 18
31.6%

디프테리아_파상풍_백일해(DTaP)
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
40 
√
17 

Length

Max length4
Median length4
Mean length3.1052632
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 40
70.2%
√ 17
29.8%

Length

2023-12-13T08:57:33.003468image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:57:33.092527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 40
70.2%
√ 17
29.8%

디프테리아_파상풍(Td)
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
39 
√
18 

Length

Max length4
Median length4
Mean length3.0526316
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
68.4%
√ 18
31.6%

Length

2023-12-13T08:57:33.182259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:57:33.263856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
68.4%
√ 18
31.6%

디프테리아_파상풍_백일해(Tdap)
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
31 
√
26 

Length

Max length4
Median length4
Mean length2.6315789
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
54.4%
√ 26
45.6%

Length

2023-12-13T08:57:33.359871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:57:33.443465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
54.4%
√ 26
45.6%

폴리오
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
46 
√
11 

Length

Max length4
Median length4
Mean length3.4210526
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 46
80.7%
√ 11
 
19.3%

Length

2023-12-13T08:57:33.534827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:57:33.642001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 46
80.7%
√ 11
 
19.3%

홍역_유행성이하선염_풍진(MMR)
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
38 
√
19 

Length

Max length4
Median length4
Mean length3
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 38
66.7%
√ 19
33.3%

Length

2023-12-13T08:57:33.735108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:57:33.819311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 38
66.7%
√ 19
33.3%

디프테리아_파상풍_백일해_폴리오(DTaP-IPV)
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
40 
√
17 

Length

Max length4
Median length4
Mean length3.1052632
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 40
70.2%
√ 17
29.8%

Length

2023-12-13T08:57:33.908223image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:57:33.991583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 40
70.2%
√ 17
29.8%

b형헤모필루스인플루엔자(Hib)
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
40 
√
17 

Length

Max length4
Median length4
Mean length3.1052632
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 40
70.2%
√ 17
29.8%

Length

2023-12-13T08:57:34.078723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:57:34.158975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 40
70.2%
√ 17
29.8%

디프테리아_파상풍_백일해_폴리오_b형헤모필루스인플루엔자(DTaP-IPV_Hib)
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
40 
√
17 

Length

Max length4
Median length4
Mean length3.1052632
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 40
70.2%
√ 17
29.8%

Length

2023-12-13T08:57:34.242572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:57:34.330663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 40
70.2%
√ 17
29.8%

폐렴구균 (PCV10)
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
48 
√
9 

Length

Max length4
Median length4
Mean length3.5263158
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 48
84.2%
√ 9
 
15.8%

Length

2023-12-13T08:57:34.429973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:57:34.526755image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
84.2%
√ 9
 
15.8%

폐렴구균 (PCV13)
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
39 
√
18 

Length

Max length4
Median length4
Mean length3.0526316
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
68.4%
√ 18
31.6%

Length

2023-12-13T08:57:34.641749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:57:34.738784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
68.4%
√ 18
31.6%

폐렴구균 (PPSV23)
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
48 
√
9 

Length

Max length4
Median length4
Mean length3.5263158
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
84.2%
√ 9
 
15.8%

Length

2023-12-13T08:57:34.856098image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:57:34.946062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
84.2%
√ 9
 
15.8%

수두
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
41 
√
16 

Length

Max length4
Median length4
Mean length3.1578947
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 41
71.9%
√ 16
 
28.1%

Length

2023-12-13T08:57:35.043494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:57:35.137467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 41
71.9%
√ 16
 
28.1%

A형간염
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
37 
√
20 

Length

Max length4
Median length4
Mean length2.9473684
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 37
64.9%
√ 20
35.1%

Length

2023-12-13T08:57:35.228586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:57:35.324285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
64.9%
√ 20
35.1%

일본뇌염 (사백신_베로세포)
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
48 
√
9 

Length

Max length4
Median length4
Mean length3.5263158
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
84.2%
√ 9
 
15.8%

Length

2023-12-13T08:57:35.663905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:57:35.767197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 48
84.2%
√ 9
 
15.8%

일본뇌염 (생백신)
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
31 
√
26 

Length

Max length4
Median length4
Mean length2.6315789
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 31
54.4%
√ 26
45.6%

Length

2023-12-13T08:57:35.861644image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:57:35.948864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 31
54.4%
√ 26
45.6%

사람유두종바이러스(Hpv)
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
43 
√
14 

Length

Max length4
Median length4
Mean length3.2631579
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 43
75.4%
√ 14
 
24.6%

Length

2023-12-13T08:57:36.049635image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:57:36.142102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 43
75.4%
√ 14
 
24.6%

인플루엔자
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
√
29 
<NA>
28 

Length

Max length4
Median length1
Mean length2.4736842
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
√ 29
50.9%
<NA> 28
49.1%

Length

2023-12-13T08:57:36.242018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:57:36.335207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
√ 29
50.9%
na 28
49.1%

로타바이러스(로타릭스)
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
√
48 
<NA>
9 

Length

Max length4
Median length1
Mean length1.4736842
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
√ 48
84.2%
<NA> 9
 
15.8%

Length

2023-12-13T08:57:36.437529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:57:36.538397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
√ 48
84.2%
na 9
 
15.8%

로타바이러스(로타텍)
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
47 
√
10 

Length

Max length4
Median length4
Mean length3.4736842
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 47
82.5%
√ 10
 
17.5%

Length

2023-12-13T08:57:36.626578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:57:36.727502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 47
82.5%
√ 10
 
17.5%

Unnamed: 25
Categorical

Distinct2
Distinct (%)3.5%
Missing0
Missing (%)0.0%
Memory size588.0 B
<NA>
44 
√
13 

Length

Max length4
Median length4
Mean length3.3157895
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 44
77.2%
√ 13
 
22.8%

Length

2023-12-13T08:57:36.823115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:57:36.907256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 44
77.2%
√ 13
 
22.8%

Sample

목록의료기관명대표자명전화번호피내(BCG)B형간염디프테리아_파상풍_백일해(DTaP)디프테리아_파상풍(Td)디프테리아_파상풍_백일해(Tdap)폴리오홍역_유행성이하선염_풍진(MMR)디프테리아_파상풍_백일해_폴리오(DTaP-IPV)b형헤모필루스인플루엔자(Hib)디프테리아_파상풍_백일해_폴리오_b형헤모필루스인플루엔자(DTaP-IPV_Hib)폐렴구균 (PCV10)폐렴구균 (PCV13)폐렴구균 (PPSV23)수두A형간염일본뇌염 (사백신_베로세포)일본뇌염 (생백신)사람유두종바이러스(Hpv)인플루엔자로타바이러스(로타릭스)로타바이러스(로타텍)Unnamed: 25
01(사)대한결핵협회부산광역시지부 복십자의원신민석051-611-3622<NA><NA><NA><NA>√<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>√√<NA><NA>
12W365메디컬의원김남표051-622-0365<NA><NA><NA>√√<NA><NA><NA><NA><NA><NA>√<NA><NA>√<NA>√<NA>√√<NA><NA>
23강동섭소아청소년과의원강동섭051-634-9305<NA>√√√√<NA>√√√√<NA>√<NA>√√<NA>√√√√√√
34길민경산부인과의원길민경051-621-2616<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>√<NA><NA><NA>
45김계영내과.소아청소년과의원김계영051-627-7000<NA>√√√√√√√√√√√<NA>√√<NA>√√√√√√
56김성미소아청소년과의원김성미051-714-2046√√√<NA>√√√√√√√√√√√√√√√√√√
67김소아청소년과의원김금주051-645-8988<NA>√√√√√√√√√<NA>√<NA>√√√√√<NA>√<NA><NA>
78김현지키움소아청소년과의원김현지051-711-6241<NA>√√<NA>√<NA>√√√√<NA>√<NA>√√<NA>√√√√<NA>√
89김효준내과의원김효준051-628-6422<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>√<NA>√√<NA><NA>
910나은소아청소년과의원김인숙051-623-9944<NA>√√√√√√√√√√√√√√√√√√√√√
목록의료기관명대표자명전화번호피내(BCG)B형간염디프테리아_파상풍_백일해(DTaP)디프테리아_파상풍(Td)디프테리아_파상풍_백일해(Tdap)폴리오홍역_유행성이하선염_풍진(MMR)디프테리아_파상풍_백일해_폴리오(DTaP-IPV)b형헤모필루스인플루엔자(Hib)디프테리아_파상풍_백일해_폴리오_b형헤모필루스인플루엔자(DTaP-IPV_Hib)폐렴구균 (PCV10)폐렴구균 (PCV13)폐렴구균 (PPSV23)수두A형간염일본뇌염 (사백신_베로세포)일본뇌염 (생백신)사람유두종바이러스(Hpv)인플루엔자로타바이러스(로타릭스)로타바이러스(로타텍)Unnamed: 25
4748조진수소아청소년과의원조진수051-625-9933<NA>√√√√√√√√√√√√√√√√√√√√√
4849진도순이비인후과의원진도순051-646-4321<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>√<NA><NA>
4950참사랑복지의원윤갑진051-647-4002<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>√<NA><NA>
5051최정화소아청소년과의원최정화051-612-1275<NA>√√√√√√√√√√√√√√√√√√√√√
5152코끼리소아청소년과의원권현섭051-633-8200<NA>√√<NA>√<NA>√√√√√√<NA>√√<NA>√√<NA>√<NA>√
5253평화의원조진형051-622-3072<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>√<NA><NA>
5354한길내과의원이민재051-633-1332<NA><NA><NA>√<NA><NA>√<NA><NA><NA><NA><NA><NA><NA>√<NA>√<NA>√√<NA><NA>
5455한빛내과의원안규선051-645-6566<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5556한정욱이비인후과의원한정욱051-636-9419<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>√<NA><NA>
5657헬로소아청소년과의원박수경051-612-0677<NA>√√√√√√√√√<NA>√√√√<NA>√<NA>√√√√