Overview

Dataset statistics

Number of variables6
Number of observations77
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.7 KiB
Average record size in memory49.7 B

Variable types

Categorical1
Text4
DateTime1

Dataset

Description전라북도 정읍시에 소재한 예방접종 위탁의료기관 현황중(구분, 의료기관명, 소재지도로명주소, 소재지지번주소, 전화번호)등의 자료를 제공합니다.
Author전라북도
URLhttps://www.bigdatahub.go.kr/index.jeonbuk?startPage=4&menuCd=DOM_000000103007001000&pListTypeStr=&pId=15055412

Alerts

데이터기준일자 has constant value ""Constant

Reproduction

Analysis started2024-03-13 23:53:02.762291
Analysis finished2024-03-13 23:53:03.369533
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct2
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size748.0 B
노인 인플루엔자
55 
어린이 국가예방접종
22 

Length

Max length10
Median length8
Mean length8.5714286
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row어린이 국가예방접종
2nd row어린이 국가예방접종
3rd row어린이 국가예방접종
4th row어린이 국가예방접종
5th row어린이 국가예방접종

Common Values

ValueCountFrequency (%)
노인 인플루엔자 55
71.4%
어린이 국가예방접종 22
 
28.6%

Length

2024-03-14T08:53:03.425768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T08:53:03.525771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
노인 55
35.7%
인플루엔자 55
35.7%
어린이 22
 
14.3%
국가예방접종 22
 
14.3%
Distinct60
Distinct (%)77.9%
Missing0
Missing (%)0.0%
Memory size748.0 B
2024-03-14T08:53:03.706745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length12
Mean length7.8701299
Min length4

Characters and Unicode

Total characters606
Distinct characters116
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)55.8%

Sample

1st row김태진재활의학과의원
2nd row김형식내과의원
3rd row맑은샘의원
4th row미래산부인과의원
5th row새봄의원
ValueCountFrequency (%)
김태진재활의학과의원 2
 
2.3%
아산사회복지재단 2
 
2.3%
장희성내과의원 2
 
2.3%
한사랑가정의원 2
 
2.3%
의원 2
 
2.3%
탑가정의학과 2
 
2.3%
참연합의원 2
 
2.3%
김형식내과의원 2
 
2.3%
정읍사랑병원 2
 
2.3%
정읍아산병원 2
 
2.3%
Other values (56) 66
76.7%
2024-03-14T08:53:04.045203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
83
 
13.7%
77
 
12.7%
46
 
7.6%
28
 
4.6%
14
 
2.3%
13
 
2.1%
13
 
2.1%
11
 
1.8%
11
 
1.8%
11
 
1.8%
Other values (106) 299
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 596
98.3%
Space Separator 9
 
1.5%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
83
 
13.9%
77
 
12.9%
46
 
7.7%
28
 
4.7%
14
 
2.3%
13
 
2.2%
13
 
2.2%
11
 
1.8%
11
 
1.8%
11
 
1.8%
Other values (104) 289
48.5%
Space Separator
ValueCountFrequency (%)
9
100.0%
Other Punctuation
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 596
98.3%
Common 10
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
83
 
13.9%
77
 
12.9%
46
 
7.7%
28
 
4.7%
14
 
2.3%
13
 
2.2%
13
 
2.2%
11
 
1.8%
11
 
1.8%
11
 
1.8%
Other values (104) 289
48.5%
Common
ValueCountFrequency (%)
9
90.0%
1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 596
98.3%
ASCII 9
 
1.5%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
83
 
13.9%
77
 
12.9%
46
 
7.7%
28
 
4.7%
14
 
2.3%
13
 
2.2%
13
 
2.2%
11
 
1.8%
11
 
1.8%
11
 
1.8%
Other values (104) 289
48.5%
ASCII
ValueCountFrequency (%)
9
100.0%
None
ValueCountFrequency (%)
1
100.0%
Distinct68
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Memory size748.0 B
2024-03-14T08:53:04.273615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length36
Mean length26.376623
Min length20

Characters and Unicode

Total characters2031
Distinct characters88
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)76.6%

Sample

1st row전라북도 정읍시 남북로 50 (수성동) 603-4
2nd row전라북도 정읍시 충정로 50, (상동)
3rd row전라북도 정읍시 천변로 234, (시기동)
4th row전라북도 정읍시 상동중앙로 55-1, (상동, 서울산부인과)
5th row전라북도 정읍시 우암로 20, (시기동) 2층 201호
ValueCountFrequency (%)
전라북도 77
18.5%
정읍시 77
18.5%
수성동 22
 
5.3%
시기동 20
 
4.8%
중앙로 13
 
3.1%
우암로 11
 
2.6%
연지동 11
 
2.6%
상동 10
 
2.4%
충정로 10
 
2.4%
남북로 8
 
1.9%
Other values (105) 158
37.9%
2024-03-14T08:53:04.602782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
426
21.0%
98
 
4.8%
92
 
4.5%
86
 
4.2%
83
 
4.1%
77
 
3.8%
77
 
3.8%
77
 
3.8%
72
 
3.5%
) 70
 
3.4%
Other values (78) 873
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1074
52.9%
Space Separator 426
 
21.0%
Decimal Number 281
 
13.8%
Close Punctuation 70
 
3.4%
Other Punctuation 70
 
3.4%
Open Punctuation 70
 
3.4%
Dash Punctuation 37
 
1.8%
Math Symbol 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
98
 
9.1%
92
 
8.6%
86
 
8.0%
83
 
7.7%
77
 
7.2%
77
 
7.2%
77
 
7.2%
72
 
6.7%
69
 
6.4%
27
 
2.5%
Other values (62) 316
29.4%
Decimal Number
ValueCountFrequency (%)
1 57
20.3%
3 43
15.3%
2 41
14.6%
4 38
13.5%
5 25
8.9%
0 23
8.2%
8 16
 
5.7%
6 15
 
5.3%
7 12
 
4.3%
9 11
 
3.9%
Space Separator
ValueCountFrequency (%)
426
100.0%
Close Punctuation
ValueCountFrequency (%)
) 70
100.0%
Other Punctuation
ValueCountFrequency (%)
, 70
100.0%
Open Punctuation
ValueCountFrequency (%)
( 70
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1074
52.9%
Common 957
47.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
98
 
9.1%
92
 
8.6%
86
 
8.0%
83
 
7.7%
77
 
7.2%
77
 
7.2%
77
 
7.2%
72
 
6.7%
69
 
6.4%
27
 
2.5%
Other values (62) 316
29.4%
Common
ValueCountFrequency (%)
426
44.5%
) 70
 
7.3%
, 70
 
7.3%
( 70
 
7.3%
1 57
 
6.0%
3 43
 
4.5%
2 41
 
4.3%
4 38
 
4.0%
- 37
 
3.9%
5 25
 
2.6%
Other values (6) 80
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1074
52.9%
ASCII 957
47.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
426
44.5%
) 70
 
7.3%
, 70
 
7.3%
( 70
 
7.3%
1 57
 
6.0%
3 43
 
4.5%
2 41
 
4.3%
4 38
 
4.0%
- 37
 
3.9%
5 25
 
2.6%
Other values (6) 80
 
8.4%
Hangul
ValueCountFrequency (%)
98
 
9.1%
92
 
8.6%
86
 
8.0%
83
 
7.7%
77
 
7.2%
77
 
7.2%
77
 
7.2%
72
 
6.7%
69
 
6.4%
27
 
2.5%
Other values (62) 316
29.4%
Distinct68
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Memory size748.0 B
2024-03-14T08:53:04.834264image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length36
Mean length26.376623
Min length20

Characters and Unicode

Total characters2031
Distinct characters88
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)76.6%

Sample

1st row전라북도 정읍시 남북로 50 (수성동) 603-4
2nd row전라북도 정읍시 충정로 50, (상동)
3rd row전라북도 정읍시 천변로 234, (시기동)
4th row전라북도 정읍시 상동중앙로 55-1, (상동, 서울산부인과)
5th row전라북도 정읍시 우암로 20, (시기동) 2층 201호
ValueCountFrequency (%)
전라북도 77
18.5%
정읍시 77
18.5%
수성동 22
 
5.3%
시기동 20
 
4.8%
중앙로 13
 
3.1%
우암로 11
 
2.6%
연지동 11
 
2.6%
상동 10
 
2.4%
충정로 10
 
2.4%
남북로 8
 
1.9%
Other values (105) 158
37.9%
2024-03-14T08:53:05.231704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
426
21.0%
98
 
4.8%
92
 
4.5%
86
 
4.2%
83
 
4.1%
77
 
3.8%
77
 
3.8%
77
 
3.8%
72
 
3.5%
) 70
 
3.4%
Other values (78) 873
43.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1074
52.9%
Space Separator 426
 
21.0%
Decimal Number 281
 
13.8%
Close Punctuation 70
 
3.4%
Other Punctuation 70
 
3.4%
Open Punctuation 70
 
3.4%
Dash Punctuation 37
 
1.8%
Math Symbol 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
98
 
9.1%
92
 
8.6%
86
 
8.0%
83
 
7.7%
77
 
7.2%
77
 
7.2%
77
 
7.2%
72
 
6.7%
69
 
6.4%
27
 
2.5%
Other values (62) 316
29.4%
Decimal Number
ValueCountFrequency (%)
1 57
20.3%
3 43
15.3%
2 41
14.6%
4 38
13.5%
5 25
8.9%
0 23
8.2%
8 16
 
5.7%
6 15
 
5.3%
7 12
 
4.3%
9 11
 
3.9%
Space Separator
ValueCountFrequency (%)
426
100.0%
Close Punctuation
ValueCountFrequency (%)
) 70
100.0%
Other Punctuation
ValueCountFrequency (%)
, 70
100.0%
Open Punctuation
ValueCountFrequency (%)
( 70
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 37
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1074
52.9%
Common 957
47.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
98
 
9.1%
92
 
8.6%
86
 
8.0%
83
 
7.7%
77
 
7.2%
77
 
7.2%
77
 
7.2%
72
 
6.7%
69
 
6.4%
27
 
2.5%
Other values (62) 316
29.4%
Common
ValueCountFrequency (%)
426
44.5%
) 70
 
7.3%
, 70
 
7.3%
( 70
 
7.3%
1 57
 
6.0%
3 43
 
4.5%
2 41
 
4.3%
4 38
 
4.0%
- 37
 
3.9%
5 25
 
2.6%
Other values (6) 80
 
8.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1074
52.9%
ASCII 957
47.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
426
44.5%
) 70
 
7.3%
, 70
 
7.3%
( 70
 
7.3%
1 57
 
6.0%
3 43
 
4.5%
2 41
 
4.3%
4 38
 
4.0%
- 37
 
3.9%
5 25
 
2.6%
Other values (6) 80
 
8.4%
Hangul
ValueCountFrequency (%)
98
 
9.1%
92
 
8.6%
86
 
8.0%
83
 
7.7%
77
 
7.2%
77
 
7.2%
77
 
7.2%
72
 
6.7%
69
 
6.4%
27
 
2.5%
Other values (62) 316
29.4%
Distinct63
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Memory size748.0 B
2024-03-14T08:53:05.472026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters924
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

Unique49 ?
Unique (%)63.6%

Sample

1st row063-536-0011
2nd row063-538-8275
3rd row063-533-2225
4th row063-532-9600
5th row063-537-5335
ValueCountFrequency (%)
063-536-3535 2
 
2.6%
063-538-6500 2
 
2.6%
063-538-8275 2
 
2.6%
063-532-9200 2
 
2.6%
063-537-0041 2
 
2.6%
063-536-7555 2
 
2.6%
063-532-2119 2
 
2.6%
063-533-0923 2
 
2.6%
063-537-5335 2
 
2.6%
063-538-7733 2
 
2.6%
Other values (53) 57
74.0%
2024-03-14T08:53:05.819261image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 196
21.2%
- 154
16.7%
0 151
16.3%
5 124
13.4%
6 96
10.4%
1 49
 
5.3%
7 48
 
5.2%
2 38
 
4.1%
8 30
 
3.2%
9 23
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 770
83.3%
Dash Punctuation 154
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 196
25.5%
0 151
19.6%
5 124
16.1%
6 96
12.5%
1 49
 
6.4%
7 48
 
6.2%
2 38
 
4.9%
8 30
 
3.9%
9 23
 
3.0%
4 15
 
1.9%
Dash Punctuation
ValueCountFrequency (%)
- 154
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 924
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 196
21.2%
- 154
16.7%
0 151
16.3%
5 124
13.4%
6 96
10.4%
1 49
 
5.3%
7 48
 
5.2%
2 38
 
4.1%
8 30
 
3.2%
9 23
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 924
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 196
21.2%
- 154
16.7%
0 151
16.3%
5 124
13.4%
6 96
10.4%
1 49
 
5.3%
7 48
 
5.2%
2 38
 
4.1%
8 30
 
3.2%
9 23
 
2.5%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size748.0 B
Minimum2022-12-12 00:00:00
Maximum2022-12-12 00:00:00
2024-03-14T08:53:05.911924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T08:53:05.987039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2024-03-14T08:53:06.063506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분의료기관명소재지도로명주소소재지지번주소전화번호
구분1.0000.0000.0000.0000.000
의료기관명0.0001.0000.9930.9930.995
소재지도로명주소0.0000.9931.0001.0001.000
소재지지번주소0.0000.9931.0001.0001.000
전화번호0.0000.9951.0001.0001.000

Missing values

2024-03-14T08:53:03.228391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T08:53:03.333404image/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

구분의료기관명소재지도로명주소소재지지번주소전화번호데이터기준일자
0어린이 국가예방접종김태진재활의학과의원전라북도 정읍시 남북로 50 (수성동) 603-4전라북도 정읍시 남북로 50 (수성동) 603-4063-536-00112022-12-12
1어린이 국가예방접종김형식내과의원전라북도 정읍시 충정로 50, (상동)전라북도 정읍시 충정로 50, (상동)063-538-82752022-12-12
2어린이 국가예방접종맑은샘의원전라북도 정읍시 천변로 234, (시기동)전라북도 정읍시 천변로 234, (시기동)063-533-22252022-12-12
3어린이 국가예방접종미래산부인과의원전라북도 정읍시 상동중앙로 55-1, (상동, 서울산부인과)전라북도 정읍시 상동중앙로 55-1, (상동, 서울산부인과)063-532-96002022-12-12
4어린이 국가예방접종새봄의원전라북도 정읍시 우암로 20, (시기동) 2층 201호전라북도 정읍시 우암로 20, (시기동) 2층 201호063-537-53352022-12-12
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68노인 인플루엔자참연합의원전라북도 정읍시 수성로 58, (수성동)전라북도 정읍시 수성로 58, (수성동)063-533-09232022-12-12
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70노인 인플루엔자팔팔연합의원전라북도 정읍시 우암로 11-1, (시기동)전라북도 정읍시 우암로 11-1, (시기동)063-535-88352022-12-12
71노인 인플루엔자하나외과의원전라북도 정읍시 중앙1길 58, (수성동)전라북도 정읍시 중앙1길 58, (수성동)063-535-99662022-12-12
72노인 인플루엔자한사랑가정의원전라북도 정읍시 학산로 103-4, (상동, 대우드림채상가) 1,2층전라북도 정읍시 학산로 103-4, (상동, 대우드림채상가) 1,2층063-538-65002022-12-12
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74노인 인플루엔자현대가정의학과의원전라북도 정읍시 우암로 25, (시기동)전라북도 정읍시 우암로 25, (시기동)063-536-75552022-12-12
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76노인 인플루엔자현대의원전라북도 정읍시 산외면 산외로 439 평사리 461-1전라북도 정읍시 산외면 산외로 439 평사리 461-1063-537-39492022-12-12