Overview

Dataset statistics

Number of variables23
Number of observations53
Missing cells51
Missing cells (%)4.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.7 KiB
Average record size in memory187.5 B

Variable types

Numeric1
Text4
Categorical18

Dataset

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

Alerts

피내(BCG) has constant value ""Constant
피내(BCG) has 51 (96.2%) missing valuesMissing
목록 has unique valuesUnique
의료기관명 has unique valuesUnique
대표자명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:31:55.324479
Analysis finished2023-12-10 16:31:55.821667
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

목록
Real number (ℝ)

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean27
Minimum1
Maximum53
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size609.0 B
2023-12-11T01:31:55.935053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.6
Q114
median27
Q340
95-th percentile50.4
Maximum53
Range52
Interquartile range (IQR)26

Descriptive statistics

Standard deviation15.443445
Coefficient of variation (CV)0.57197945
Kurtosis-1.2
Mean27
Median Absolute Deviation (MAD)13
Skewness0
Sum1431
Variance238.5
MonotonicityStrictly increasing
2023-12-11T01:31:56.139608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.9%
41 1
 
1.9%
30 1
 
1.9%
31 1
 
1.9%
32 1
 
1.9%
33 1
 
1.9%
34 1
 
1.9%
35 1
 
1.9%
36 1
 
1.9%
37 1
 
1.9%
Other values (43) 43
81.1%
ValueCountFrequency (%)
1 1
1.9%
2 1
1.9%
3 1
1.9%
4 1
1.9%
5 1
1.9%
6 1
1.9%
7 1
1.9%
8 1
1.9%
9 1
1.9%
10 1
1.9%
ValueCountFrequency (%)
53 1
1.9%
52 1
1.9%
51 1
1.9%
50 1
1.9%
49 1
1.9%
48 1
1.9%
47 1
1.9%
46 1
1.9%
45 1
1.9%
44 1
1.9%

의료기관명
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-11T01:31:56.478865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length14
Mean length8.754717
Min length3

Characters and Unicode

Total characters464
Distinct characters126
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

Unique53 ?
Unique (%)100.0%

Sample

1st row(사)대한결핵협회부산광역시지부 복십자의원
2nd rowW365메디컬의원
3rd row강동섭소아청소년과의원
4th row길민경산부인과의원
5th row김계영내과.소아청소년과의원
ValueCountFrequency (%)
사)대한결핵협회부산광역시지부 1
 
1.8%
이화산부인과의원 1
 
1.8%
슬기로운내과의원 1
 
1.8%
신봉식이비인후과의원 1
 
1.8%
신진근이비인후과의원 1
 
1.8%
아산김의원 1
 
1.8%
안무경가정의학과의원 1
 
1.8%
에스산부인과의원 1
 
1.8%
올바른신경외과의원 1
 
1.8%
우리가정의학과의원 1
 
1.8%
Other values (45) 45
81.8%
2023-12-11T01:31:56.997654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
53
 
11.4%
52
 
11.2%
39
 
8.4%
22
 
4.7%
17
 
3.7%
14
 
3.0%
13
 
2.8%
12
 
2.6%
12
 
2.6%
10
 
2.2%
Other values (116) 220
47.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 453
97.6%
Decimal Number 3
 
0.6%
Open Punctuation 2
 
0.4%
Close Punctuation 2
 
0.4%
Space Separator 2
 
0.4%
Uppercase Letter 1
 
0.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
53
 
11.7%
52
 
11.5%
39
 
8.6%
22
 
4.9%
17
 
3.8%
14
 
3.1%
13
 
2.9%
12
 
2.6%
12
 
2.6%
10
 
2.2%
Other values (108) 209
46.1%
Decimal Number
ValueCountFrequency (%)
5 1
33.3%
6 1
33.3%
3 1
33.3%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Uppercase Letter
ValueCountFrequency (%)
W 1
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 453
97.6%
Common 10
 
2.2%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
53
 
11.7%
52
 
11.5%
39
 
8.6%
22
 
4.9%
17
 
3.8%
14
 
3.1%
13
 
2.9%
12
 
2.6%
12
 
2.6%
10
 
2.2%
Other values (108) 209
46.1%
Common
ValueCountFrequency (%)
( 2
20.0%
) 2
20.0%
2
20.0%
5 1
10.0%
6 1
10.0%
3 1
10.0%
. 1
10.0%
Latin
ValueCountFrequency (%)
W 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 453
97.6%
ASCII 11
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
53
 
11.7%
52
 
11.5%
39
 
8.6%
22
 
4.9%
17
 
3.8%
14
 
3.1%
13
 
2.9%
12
 
2.6%
12
 
2.6%
10
 
2.2%
Other values (108) 209
46.1%
ASCII
ValueCountFrequency (%)
( 2
18.2%
) 2
18.2%
2
18.2%
5 1
9.1%
6 1
9.1%
3 1
9.1%
W 1
9.1%
. 1
9.1%

대표자명
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-11T01:31:57.283177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters159
Distinct characters79
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

Unique53 ?
Unique (%)100.0%

Sample

1st row신민석
2nd row김남표
3rd row강동섭
4th row길민경
5th row김계영
ValueCountFrequency (%)
신민석 1
 
1.9%
이재완 1
 
1.9%
신봉식 1
 
1.9%
신진근 1
 
1.9%
김경연 1
 
1.9%
안무경 1
 
1.9%
김정선 1
 
1.9%
정세헌 1
 
1.9%
윤성욱 1
 
1.9%
서형석 1
 
1.9%
Other values (43) 43
81.1%
2023-12-11T01:31:57.716400image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11
 
6.9%
7
 
4.4%
6
 
3.8%
6
 
3.8%
5
 
3.1%
5
 
3.1%
5
 
3.1%
4
 
2.5%
4
 
2.5%
4
 
2.5%
Other values (69) 102
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 159
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
11
 
6.9%
7
 
4.4%
6
 
3.8%
6
 
3.8%
5
 
3.1%
5
 
3.1%
5
 
3.1%
4
 
2.5%
4
 
2.5%
4
 
2.5%
Other values (69) 102
64.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 159
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
11
 
6.9%
7
 
4.4%
6
 
3.8%
6
 
3.8%
5
 
3.1%
5
 
3.1%
5
 
3.1%
4
 
2.5%
4
 
2.5%
4
 
2.5%
Other values (69) 102
64.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 159
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
11
 
6.9%
7
 
4.4%
6
 
3.8%
6
 
3.8%
5
 
3.1%
5
 
3.1%
5
 
3.1%
4
 
2.5%
4
 
2.5%
4
 
2.5%
Other values (69) 102
64.2%

전화번호
Text

UNIQUE 

Distinct53
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size556.0 B
2023-12-11T01:31:58.067667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters636
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

Unique53 ?
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
 
1.9%
051-612-8058 1
 
1.9%
051-623-7337 1
 
1.9%
051-612-5075 1
 
1.9%
051-626-8835 1
 
1.9%
051-626-3030 1
 
1.9%
051-715-7977 1
 
1.9%
051-715-8212 1
 
1.9%
051-622-5690 1
 
1.9%
051-711-6688 1
 
1.9%
Other values (43) 43
81.1%
2023-12-11T01:31:58.902435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 106
16.7%
1 96
15.1%
0 84
13.2%
5 83
13.1%
6 67
10.5%
2 51
8.0%
3 40
 
6.3%
7 37
 
5.8%
8 28
 
4.4%
4 24
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 530
83.3%
Dash Punctuation 106
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 96
18.1%
0 84
15.8%
5 83
15.7%
6 67
12.6%
2 51
9.6%
3 40
7.5%
7 37
 
7.0%
8 28
 
5.3%
4 24
 
4.5%
9 20
 
3.8%
Dash Punctuation
ValueCountFrequency (%)
- 106
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 636
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 106
16.7%
1 96
15.1%
0 84
13.2%
5 83
13.1%
6 67
10.5%
2 51
8.0%
3 40
 
6.3%
7 37
 
5.8%
8 28
 
4.4%
4 24
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 636
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 106
16.7%
1 96
15.1%
0 84
13.2%
5 83
13.1%
6 67
10.5%
2 51
8.0%
3 40
 
6.3%
7 37
 
5.8%
8 28
 
4.4%
4 24
 
3.8%

피내(BCG)
Text

CONSTANT  MISSING 

Distinct1
Distinct (%)50.0%
Missing51
Missing (%)96.2%
Memory size556.0 B
2023-12-11T01:31:59.082398image/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%
2023-12-11T01:31:59.506446image/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 (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
34 
19 

Length

Max length4
Median length4
Mean length2.9245283
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 34
64.2%
19
35.8%

Length

2023-12-11T01:31:59.715551image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:31:59.879913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
64.2%
19
35.8%
Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
34 
19 

Length

Max length4
Median length4
Mean length2.9245283
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 34
64.2%
19
35.8%

Length

2023-12-11T01:32:00.062250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:00.223990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
64.2%
19
35.8%
Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
33 
20 

Length

Max length4
Median length4
Mean length2.8679245
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 33
62.3%
20
37.7%

Length

2023-12-11T01:32:00.463885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:00.648865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 33
62.3%
20
37.7%
Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
27 
26 

Length

Max length4
Median length4
Mean length2.5283019
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
50.9%
26
49.1%

Length

2023-12-11T01:32:00.936701image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:01.117877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
50.9%
26
49.1%

폴리오
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
39 
14 

Length

Max length4
Median length4
Mean length3.2075472
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 39
73.6%
14
 
26.4%

Length

2023-12-11T01:32:01.310607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:01.468925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 39
73.6%
14
 
26.4%
Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
32 
21 

Length

Max length4
Median length4
Mean length2.8113208
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 32
60.4%
21
39.6%

Length

2023-12-11T01:32:01.652220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:01.836763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
60.4%
21
39.6%
Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
34 
19 

Length

Max length4
Median length4
Mean length2.9245283
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 34
64.2%
19
35.8%

Length

2023-12-11T01:32:02.080967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:02.277138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 34
64.2%
19
35.8%
Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
35 
18 

Length

Max length4
Median length4
Mean length2.9811321
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 35
66.0%
18
34.0%

Length

2023-12-11T01:32:02.473202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:02.669169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 35
66.0%
18
34.0%
Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
36 
17 

Length

Max length4
Median length4
Mean length3.0377358
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 36
67.9%
17
32.1%

Length

2023-12-11T01:32:02.856953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:03.030604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
67.9%
17
32.1%
Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
42 
11 

Length

Max length4
Median length4
Mean length3.3773585
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> 42
79.2%
11
 
20.8%

Length

2023-12-11T01:32:03.190012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:03.331493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 42
79.2%
11
 
20.8%
Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
36 
17 

Length

Max length4
Median length4
Mean length3.0377358
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 36
67.9%
17
32.1%

Length

2023-12-11T01:32:03.471704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:03.621667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 36
67.9%
17
32.1%
Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
41 
12 

Length

Max length4
Median length4
Mean length3.3207547
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 41
77.4%
12
 
22.6%

Length

2023-12-11T01:32:04.137250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:04.291436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 41
77.4%
12
 
22.6%

수두
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
37 
16 

Length

Max length4
Median length4
Mean length3.0943396
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
69.8%
16
30.2%

Length

2023-12-11T01:32:04.454409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:04.565001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
69.8%
16
30.2%

A형간염
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
32 
21 

Length

Max length4
Median length4
Mean length2.8113208
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 32
60.4%
21
39.6%

Length

2023-12-11T01:32:04.675536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:04.805166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 32
60.4%
21
39.6%
Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
27 
26 

Length

Max length4
Median length4
Mean length2.5283019
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 27
50.9%
26
49.1%

Length

2023-12-11T01:32:04.970848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:05.097175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 27
50.9%
26
49.1%
Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
<NA>
37 
16 

Length

Max length4
Median length4
Mean length3.0943396
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
69.8%
16
30.2%

Length

2023-12-11T01:32:05.224940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:05.364179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 37
69.8%
16
30.2%
Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
32 
<NA>
21 

Length

Max length4
Median length1
Mean length2.1886792
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
32
60.4%
<NA> 21
39.6%

Length

2023-12-11T01:32:05.534965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:05.672966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
32
60.4%
na 21
39.6%

인플루엔자
Categorical

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size556.0 B
47 
<NA>

Length

Max length4
Median length1
Mean length1.3396226
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
47
88.7%
<NA> 6
 
11.3%

Length

2023-12-11T01:32:05.790056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:32:05.901918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
47
88.7%
na 6
 
11.3%

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)인플루엔자
01(사)대한결핵협회부산광역시지부 복십자의원신민석051-611-3622<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
12W365메디컬의원김남표051-622-0365<NA><NA><NA>
23강동섭소아청소년과의원강동섭051-634-9305<NA><NA>
34길민경산부인과의원길민경051-621-2616<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
45김계영내과.소아청소년과의원김계영051-627-7000<NA><NA>
56김성미소아청소년과의원김성미051-714-2046<NA>
67김소아청소년과의원김금주051-645-8988<NA><NA><NA>
78김효준내과의원김효준051-628-6422<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
89나은소아청소년과의원김인숙051-623-9944<NA>
910늘편안하내과의원하재경051-711-8270<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><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)인플루엔자
4344조진수소아청소년과의원조진수051-625-9933<NA>
4445진도순이비인후과의원진도순051-646-4321<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4546참사랑복지의원윤갑진051-647-4002<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4647최정화소아청소년과의원최정화051-612-1275<NA>
4748코끼리소아청소년과의원권현섭051-633-8200<NA><NA>
4849평화의원조진형051-622-3072<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
4950한길내과의원이민재051-633-1332<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5051한빛내과의원안규선051-645-6566<NA><NA><NA><NA><NA><NA><NA>
5152한정욱이비인후과의원한정욱051-636-9419<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
5253헬로소아청소년과의원박수경051-612-0677<NA>