Overview

Dataset statistics

Number of variables6
Number of observations43
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory51.1 B

Variable types

Categorical2
Text4

Dataset

Description홍성군 행정기관 현황에 대한 데이터로 구분, 기관명, 도로명주소, 전화번호, 팩스번호, 데이터 기준일 등에 대한 정보를 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=443&beforeMenuCd=DOM_000000201001001000&publicdatapk=15013865

Alerts

데이터기준일자 has constant value ""Constant
기관명 has unique valuesUnique
전화번호 has unique valuesUnique
팩스번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 22:29:41.281453
Analysis finished2024-01-09 22:29:41.649940
Duration0.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct5
Distinct (%)11.6%
Missing0
Missing (%)0.0%
Memory size476.0 B
보건진료소
14 
읍면
11 
보건지소
11 
직속기관/사업소
6 
본청
 
1

Length

Max length8
Median length5
Mean length4.3255814
Min length2

Unique

Unique1 ?
Unique (%)2.3%

Sample

1st row본청
2nd row직속기관/사업소
3rd row직속기관/사업소
4th row직속기관/사업소
5th row직속기관/사업소

Common Values

ValueCountFrequency (%)
보건진료소 14
32.6%
읍면 11
25.6%
보건지소 11
25.6%
직속기관/사업소 6
14.0%
본청 1
 
2.3%

Length

2024-01-10T07:29:41.711440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:29:41.816082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
보건진료소 14
32.6%
읍면 11
25.6%
보건지소 11
25.6%
직속기관/사업소 6
14.0%
본청 1
 
2.3%

기관명
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-01-10T07:29:41.992824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length6
Mean length7.0465116
Min length4

Characters and Unicode

Total characters303
Distinct characters67
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)100.0%

Sample

1st row홍성군청
2nd row홍성군 보건소
3rd row홍성군 농업기술센터
4th row홍성군 역사문화시설관리사업소
5th row홍성군 수도사업소
ValueCountFrequency (%)
홍성군 6
 
12.2%
홍성군청 1
 
2.0%
홍동보건지소 1
 
2.0%
은하보건지소 1
 
2.0%
결성보건지소 1
 
2.0%
서부보건지소 1
 
2.0%
갈산보건지소 1
 
2.0%
구항보건지소 1
 
2.0%
용봉보건진료소 1
 
2.0%
산수본건진료소 1
 
2.0%
Other values (34) 34
69.4%
2024-01-10T07:29:42.309210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 41
 
13.5%
건 26
 
8.6%
보 25
 
8.3%
사 16
 
5.3%
진 14
 
4.6%
료 14
 
4.6%
지 12
 
4.0%
홍 12
 
4.0%
무 11
 
3.6%
성 11
 
3.6%
Other values (57) 121
39.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 297
98.0%
Space Separator 6
 
2.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 41
 
13.8%
건 26
 
8.8%
보 25
 
8.4%
사 16
 
5.4%
진 14
 
4.7%
료 14
 
4.7%
지 12
 
4.0%
홍 12
 
4.0%
무 11
 
3.7%
성 11
 
3.7%
Other values (56) 115
38.7%
Space Separator
ValueCountFrequency (%)
6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 297
98.0%
Common 6
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 41
 
13.8%
건 26
 
8.8%
보 25
 
8.4%
사 16
 
5.4%
진 14
 
4.7%
료 14
 
4.7%
지 12
 
4.0%
홍 12
 
4.0%
무 11
 
3.7%
성 11
 
3.7%
Other values (56) 115
38.7%
Common
ValueCountFrequency (%)
6
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 297
98.0%
ASCII 6
 
2.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 41
 
13.8%
건 26
 
8.8%
보 25
 
8.4%
사 16
 
5.4%
진 14
 
4.7%
료 14
 
4.7%
지 12
 
4.0%
홍 12
 
4.0%
무 11
 
3.7%
성 11
 
3.7%
Other values (56) 115
38.7%
ASCII
ValueCountFrequency (%)
6
100.0%

소재지도로명주소
Text

Distinct40
Distinct (%)93.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-01-10T07:29:42.553186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length26
Mean length21.790698
Min length19

Characters and Unicode

Total characters937
Distinct characters61
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique37 ?
Unique (%)86.0%

Sample

1st row충청남도 홍성군 홍성읍 아문길 27
2nd row충청남도 홍성군 홍성읍 문화로 106
3rd row충청남도 홍성군 홍성읍 내포로 230
4th row충청남도 홍성군 홍성읍 아문길 20
5th row충청남도 홍성군 홍성읍 내포로136번길 30
ValueCountFrequency (%)
충청남도 43
19.7%
홍성군 43
19.7%
홍성읍 6
 
2.8%
홍북읍 4
 
1.8%
서부면 4
 
1.8%
홍동면 4
 
1.8%
장곡면 4
 
1.8%
금마면 4
 
1.8%
결성면 4
 
1.8%
구항면 3
 
1.4%
Other values (76) 99
45.4%
2024-01-10T07:29:42.934571image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
176
18.8%
홍 69
 
7.4%
성 53
 
5.7%
남 51
 
5.4%
충 43
 
4.6%
도 43
 
4.6%
군 43
 
4.6%
청 43
 
4.6%
로 34
 
3.6%
면 31
 
3.3%
Other values (51) 351
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 604
64.5%
Space Separator 176
 
18.8%
Decimal Number 153
 
16.3%
Dash Punctuation 4
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
홍 69
11.4%
성 53
 
8.8%
남 51
 
8.4%
충 43
 
7.1%
도 43
 
7.1%
군 43
 
7.1%
청 43
 
7.1%
로 34
 
5.6%
면 31
 
5.1%
길 25
 
4.1%
Other values (39) 169
28.0%
Decimal Number
ValueCountFrequency (%)
1 26
17.0%
2 23
15.0%
4 19
12.4%
3 18
11.8%
8 13
8.5%
5 13
8.5%
0 11
7.2%
7 10
 
6.5%
9 10
 
6.5%
6 10
 
6.5%
Space Separator
ValueCountFrequency (%)
176
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 604
64.5%
Common 333
35.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
홍 69
11.4%
성 53
 
8.8%
남 51
 
8.4%
충 43
 
7.1%
도 43
 
7.1%
군 43
 
7.1%
청 43
 
7.1%
로 34
 
5.6%
면 31
 
5.1%
길 25
 
4.1%
Other values (39) 169
28.0%
Common
ValueCountFrequency (%)
176
52.9%
1 26
 
7.8%
2 23
 
6.9%
4 19
 
5.7%
3 18
 
5.4%
8 13
 
3.9%
5 13
 
3.9%
0 11
 
3.3%
7 10
 
3.0%
9 10
 
3.0%
Other values (2) 14
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 604
64.5%
ASCII 333
35.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
176
52.9%
1 26
 
7.8%
2 23
 
6.9%
4 19
 
5.7%
3 18
 
5.4%
8 13
 
3.9%
5 13
 
3.9%
0 11
 
3.3%
7 10
 
3.0%
9 10
 
3.0%
Other values (2) 14
 
4.2%
Hangul
ValueCountFrequency (%)
홍 69
11.4%
성 53
 
8.8%
남 51
 
8.4%
충 43
 
7.1%
도 43
 
7.1%
군 43
 
7.1%
청 43
 
7.1%
로 34
 
5.6%
면 31
 
5.1%
길 25
 
4.1%
Other values (39) 169
28.0%

전화번호
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-01-10T07:29:43.162278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters516
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

Unique43 ?
Unique (%)100.0%

Sample

1st row041-630-1114
2nd row041-630-9001
3rd row041-630-9553
4th row041-630-9231
5th row041-630-9703
ValueCountFrequency (%)
041-630-1114 1
 
2.3%
041-630-9894 1
 
2.3%
041-630-9916 1
 
2.3%
041-630-9924 1
 
2.3%
041-630-9935 1
 
2.3%
041-630-9943 1
 
2.3%
041-630-9952 1
 
2.3%
041-632-8970 1
 
2.3%
041-632-9576 1
 
2.3%
041-633-6955 1
 
2.3%
Other values (33) 33
76.7%
2024-01-10T07:29:43.491046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 88
17.1%
- 86
16.7%
3 63
12.2%
6 61
11.8%
1 60
11.6%
4 57
11.0%
9 46
8.9%
2 20
 
3.9%
5 14
 
2.7%
7 11
 
2.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 430
83.3%
Dash Punctuation 86
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 88
20.5%
3 63
14.7%
6 61
14.2%
1 60
14.0%
4 57
13.3%
9 46
10.7%
2 20
 
4.7%
5 14
 
3.3%
7 11
 
2.6%
8 10
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 516
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 88
17.1%
- 86
16.7%
3 63
12.2%
6 61
11.8%
1 60
11.6%
4 57
11.0%
9 46
8.9%
2 20
 
3.9%
5 14
 
2.7%
7 11
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 516
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 88
17.1%
- 86
16.7%
3 63
12.2%
6 61
11.8%
1 60
11.6%
4 57
11.0%
9 46
8.9%
2 20
 
3.9%
5 14
 
2.7%
7 11
 
2.1%

팩스번호
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2024-01-10T07:29:43.701173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters516
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

Unique43 ?
Unique (%)100.0%

Sample

1st row041-630-1229
2nd row041-630-9690
3rd row041-630-9689
4th row041-630-9229
5th row041-630-1867
ValueCountFrequency (%)
041-630-1229 1
 
2.3%
041-633-3008 1
 
2.3%
041-642-4356 1
 
2.3%
041-642-8019 1
 
2.3%
041-634-1332 1
 
2.3%
041-633-2552 1
 
2.3%
041-632-7259 1
 
2.3%
041-632-6702 1
 
2.3%
041-632-5729 1
 
2.3%
041-631-6955 1
 
2.3%
Other values (33) 33
76.7%
2024-01-10T07:29:44.014660image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 86
16.7%
0 72
14.0%
4 60
11.6%
6 60
11.6%
1 56
10.9%
3 53
10.3%
9 38
7.4%
2 37
7.2%
5 28
 
5.4%
8 14
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 430
83.3%
Dash Punctuation 86
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 72
16.7%
4 60
14.0%
6 60
14.0%
1 56
13.0%
3 53
12.3%
9 38
8.8%
2 37
8.6%
5 28
 
6.5%
8 14
 
3.3%
7 12
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 516
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 86
16.7%
0 72
14.0%
4 60
11.6%
6 60
11.6%
1 56
10.9%
3 53
10.3%
9 38
7.4%
2 37
7.2%
5 28
 
5.4%
8 14
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 516
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 86
16.7%
0 72
14.0%
4 60
11.6%
6 60
11.6%
1 56
10.9%
3 53
10.3%
9 38
7.4%
2 37
7.2%
5 28
 
5.4%
8 14
 
2.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
2022-07-21
43 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-07-21
2nd row2022-07-21
3rd row2022-07-21
4th row2022-07-21
5th row2022-07-21

Common Values

ValueCountFrequency (%)
2022-07-21 43
100.0%

Length

2024-01-10T07:29:44.141791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:29:44.224189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-07-21 43
100.0%

Correlations

2024-01-10T07:29:44.282475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분기관명소재지도로명주소전화번호팩스번호
구분1.0001.0000.7231.0001.000
기관명1.0001.0001.0001.0001.000
소재지도로명주소0.7231.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000
팩스번호1.0001.0001.0001.0001.000

Missing values

2024-01-10T07:29:41.519626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:29:41.609727image/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

구분기관명소재지도로명주소전화번호팩스번호데이터기준일자
0본청홍성군청충청남도 홍성군 홍성읍 아문길 27041-630-1114041-630-12292022-07-21
1직속기관/사업소홍성군 보건소충청남도 홍성군 홍성읍 문화로 106041-630-9001041-630-96902022-07-21
2직속기관/사업소홍성군 농업기술센터충청남도 홍성군 홍성읍 내포로 230041-630-9553041-630-96892022-07-21
3직속기관/사업소홍성군 역사문화시설관리사업소충청남도 홍성군 홍성읍 아문길 20041-630-9231041-630-92292022-07-21
4직속기관/사업소홍성군 수도사업소충청남도 홍성군 홍성읍 내포로136번길 30041-630-9703041-630-18672022-07-21
5직속기관/사업소홍성군 신도시시설관리사업소충청남도 홍성군 홍북읍 홍학로 50041-630-9591041-630-96392022-07-21
6직속기관/사업소홍성군 추모공원관리사업소충청남도 홍성군 금마면 금마로516번길 85041-633-7780041-630-95972022-07-21
7읍면홍성읍사무소충청남도 홍성군 홍성읍 문화로 108041-630-9601041-630-95222022-07-21
8읍면광천읍사무소충청남도 홍성군 광천읍 광천로 342041-630-9602041-630-95232022-07-21
9읍면홍북읍사무소충청남도 홍성군 홍북읍 홍북로 449041-630-9603041-630-95242022-07-21
구분기관명소재지도로명주소전화번호팩스번호데이터기준일자
33보건진료소화신보건진료소충청남도 홍성군 홍동면 홍남동로 183041-634-2323041-634-87682022-07-21
34보건진료소천태보건진료소충청남도 홍성군 장곡면 무한로1182번길 9041-632-6271041-642-92712022-07-21
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37보건진료소용호보건진료소충청남도 홍성군 결성면 백야로 252041-633-2357041-634-50972022-07-21
38보건진료소서지동보건진료소충청남도 홍성군 결성면 만해로497번길 3041-633-1261041-630-96592022-07-21
39보건진료소판교보건진료소충청남도 홍성군 서부면 홍남서로375번길 3041-642-8399041-642-96222022-07-21
40보건진료소남당보건진료소충청남도 홍성군 서부면 남당항로228번길 14-14041-632-8285041-634-81652022-07-21
41보건진료소산직보건진료소충청남도 홍성군 갈산면 갈산서길249번길 8041-633-1989041-631-19892022-07-21
42보건진료소묵동보건진료소충청남도 홍성군 구항면 거북로8번길 5-33041-641-0330041-642-93342022-07-21