Overview

Dataset statistics

Number of variables3
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory660.0 B
Average record size in memory30.0 B

Variable types

Text3

Dataset

Description충청남도 아산시 소속 직속기구, 사업소, 읍면동사무소 현황으로서 명칭, 주소, 전화번호의 자료를 포함하여 제공합니다.
Author충청남도 아산시
URLhttps://www.data.go.kr/data/15013822/fileData.do

Alerts

구분 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:33:24.426391
Analysis finished2023-12-12 06:33:24.767036
Duration0.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T15:33:24.962072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9.5
Mean length8.4090909
Min length3

Characters and Unicode

Total characters185
Distinct characters56
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

Unique22 ?
Unique (%)100.0%

Sample

1st row아산시청
2nd row염치읍행정복지센터
3rd row배방읍행정복지센터
4th row송악면행정복지센터
5th row탕정면행정복지센터
ValueCountFrequency (%)
아산시청 1
 
4.5%
염치읍행정복지센터 1
 
4.5%
평생학습문화센터 1
 
4.5%
수도사업소 1
 
4.5%
농업기술센터 1
 
4.5%
온양6동행정복지센터 1
 
4.5%
온양5동행정복지센터 1
 
4.5%
온양4동행정복지센터 1
 
4.5%
온양3동행정복지센터 1
 
4.5%
온양2동행정복지센터 1
 
4.5%
Other values (12) 12
54.5%
2023-12-12T15:33:25.434311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 19
 
10.3%
센 19
 
10.3%
정 18
 
9.7%
행 17
 
9.2%
복 17
 
9.2%
지 17
 
9.2%
면 9
 
4.9%
온 6
 
3.2%
동 6
 
3.2%
양 6
 
3.2%
Other values (46) 51
27.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 179
96.8%
Decimal Number 6
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 19
10.6%
센 19
10.6%
정 18
 
10.1%
행 17
 
9.5%
복 17
 
9.5%
지 17
 
9.5%
면 9
 
5.0%
온 6
 
3.4%
동 6
 
3.4%
양 6
 
3.4%
Other values (40) 45
25.1%
Decimal Number
ValueCountFrequency (%)
1 1
16.7%
2 1
16.7%
3 1
16.7%
4 1
16.7%
5 1
16.7%
6 1
16.7%

Most occurring scripts

ValueCountFrequency (%)
Hangul 179
96.8%
Common 6
 
3.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 19
10.6%
센 19
10.6%
정 18
 
10.1%
행 17
 
9.5%
복 17
 
9.5%
지 17
 
9.5%
면 9
 
5.0%
온 6
 
3.4%
동 6
 
3.4%
양 6
 
3.4%
Other values (40) 45
25.1%
Common
ValueCountFrequency (%)
1 1
16.7%
2 1
16.7%
3 1
16.7%
4 1
16.7%
5 1
16.7%
6 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 179
96.8%
ASCII 6
 
3.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 19
10.6%
센 19
10.6%
정 18
 
10.1%
행 17
 
9.5%
복 17
 
9.5%
지 17
 
9.5%
면 9
 
5.0%
온 6
 
3.4%
동 6
 
3.4%
양 6
 
3.4%
Other values (40) 45
25.1%
ASCII
ValueCountFrequency (%)
1 1
16.7%
2 1
16.7%
3 1
16.7%
4 1
16.7%
5 1
16.7%
6 1
16.7%

주소
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T15:33:25.744388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length21
Mean length18.909091
Min length15

Characters and Unicode

Total characters416
Distinct characters59
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

Unique22 ?
Unique (%)100.0%

Sample

1st row충청남도 아산시 시민로 456
2nd row충청남도 아산시 염치읍 염치로 37
3rd row충청남도 아산시 배방읍 배방로 38
4th row충청남도 아산시 송악면 송악로 790
5th row충청남도 아산시 탕정면 탕정면로 36
ValueCountFrequency (%)
충청남도 22
21.4%
아산시 22
21.4%
시민로 3
 
2.9%
염치읍 2
 
1.9%
번영로 2
 
1.9%
15 1
 
1.0%
도고면로 1
 
1.0%
91 1
 
1.0%
신창면 1
 
1.0%
서부북로 1
 
1.0%
Other values (47) 47
45.6%
2023-12-12T15:33:26.262776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
82
19.7%
시 25
 
6.0%
도 24
 
5.8%
남 23
 
5.5%
충 22
 
5.3%
아 22
 
5.3%
산 22
 
5.3%
청 22
 
5.3%
로 21
 
5.0%
면 13
 
3.1%
Other values (49) 140
33.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 267
64.2%
Space Separator 82
 
19.7%
Decimal Number 65
 
15.6%
Dash Punctuation 2
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 25
 
9.4%
도 24
 
9.0%
남 23
 
8.6%
충 22
 
8.2%
아 22
 
8.2%
산 22
 
8.2%
청 22
 
8.2%
로 21
 
7.9%
면 13
 
4.9%
번 5
 
1.9%
Other values (37) 68
25.5%
Decimal Number
ValueCountFrequency (%)
3 12
18.5%
2 9
13.8%
0 9
13.8%
7 8
12.3%
1 6
9.2%
5 5
7.7%
4 5
7.7%
6 4
 
6.2%
9 4
 
6.2%
8 3
 
4.6%
Space Separator
ValueCountFrequency (%)
82
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 267
64.2%
Common 149
35.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 25
 
9.4%
도 24
 
9.0%
남 23
 
8.6%
충 22
 
8.2%
아 22
 
8.2%
산 22
 
8.2%
청 22
 
8.2%
로 21
 
7.9%
면 13
 
4.9%
번 5
 
1.9%
Other values (37) 68
25.5%
Common
ValueCountFrequency (%)
82
55.0%
3 12
 
8.1%
2 9
 
6.0%
0 9
 
6.0%
7 8
 
5.4%
1 6
 
4.0%
5 5
 
3.4%
4 5
 
3.4%
6 4
 
2.7%
9 4
 
2.7%
Other values (2) 5
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 267
64.2%
ASCII 149
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
82
55.0%
3 12
 
8.1%
2 9
 
6.0%
0 9
 
6.0%
7 8
 
5.4%
1 6
 
4.0%
5 5
 
3.4%
4 5
 
3.4%
6 4
 
2.7%
9 4
 
2.7%
Other values (2) 5
 
3.4%
Hangul
ValueCountFrequency (%)
시 25
 
9.4%
도 24
 
9.0%
남 23
 
8.6%
충 22
 
8.2%
아 22
 
8.2%
산 22
 
8.2%
청 22
 
8.2%
로 21
 
7.9%
면 13
 
4.9%
번 5
 
1.9%
Other values (37) 68
25.5%

대표전화
Text

Distinct18
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-12T15:33:26.511139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length10.863636
Min length7

Characters and Unicode

Total characters239
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

Unique17 ?
Unique (%)77.3%

Sample

1st row1422-42
2nd row041-537-3601
3rd row041-537-3621
4th row041-537-3611
5th row041-537-3631
ValueCountFrequency (%)
1422-42 5
22.7%
041-537-3601 1
 
4.5%
041-537-3751 1
 
4.5%
041-537-3741 1
 
4.5%
041-537-3731 1
 
4.5%
041-537-3721 1
 
4.5%
041-537-3711 1
 
4.5%
041-537-3134 1
 
4.5%
041-537-3691 1
 
4.5%
041-537-3681 1
 
4.5%
Other values (8) 8
36.4%
2023-12-12T15:33:26.917262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 41
17.2%
- 39
16.3%
3 37
15.5%
4 30
12.6%
7 24
10.0%
5 19
7.9%
0 18
7.5%
2 17
7.1%
6 12
 
5.0%
8 1
 
0.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 200
83.7%
Dash Punctuation 39
 
16.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 41
20.5%
3 37
18.5%
4 30
15.0%
7 24
12.0%
5 19
9.5%
0 18
9.0%
2 17
8.5%
6 12
 
6.0%
8 1
 
0.5%
9 1
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 239
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 41
17.2%
- 39
16.3%
3 37
15.5%
4 30
12.6%
7 24
10.0%
5 19
7.9%
0 18
7.5%
2 17
7.1%
6 12
 
5.0%
8 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 239
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 41
17.2%
- 39
16.3%
3 37
15.5%
4 30
12.6%
7 24
10.0%
5 19
7.9%
0 18
7.5%
2 17
7.1%
6 12
 
5.0%
8 1
 
0.4%

Correlations

2023-12-12T15:33:27.073868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분주소대표전화
구분1.0001.0001.000
주소1.0001.0001.000
대표전화1.0001.0001.000

Missing values

2023-12-12T15:33:24.636536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:33:24.731202image/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

구분주소대표전화
0아산시청충청남도 아산시 시민로 4561422-42
1염치읍행정복지센터충청남도 아산시 염치읍 염치로 37041-537-3601
2배방읍행정복지센터충청남도 아산시 배방읍 배방로 38041-537-3621
3송악면행정복지센터충청남도 아산시 송악면 송악로 790041-537-3611
4탕정면행정복지센터충청남도 아산시 탕정면 탕정면로 36041-537-3631
5음봉면행정복지센터충청남도 아산시 음봉면 음봉면로 23-5041-537-3641
6둔포면행정복지센터충청남도 아산시 둔포면 둔포면로 33041-537-3651
7영인면행정복지센터충청남도 아산시 영인면 영인로 78041-537-3661
8인주면행정복지센터충청남도 아산시 인주면 현대로 1295041-537-3671
9선장면행정복지센터충청남도 아산시 선장면 선장로 137041-537-3681
구분주소대표전화
12온양1동행정복지센터충청남도 아산시 번영로 77041-537-3711
13온양2동행정복지센터충청남도 아산시 중앙로 40041-537-3721
14온양3동행정복지센터충청남도 아산시 삼동로 40번길 15041-537-3731
15온양4동행정복지센터충청남도 아산시 실옥로 220041-537-3741
16온양5동행정복지센터충청남도 아산시 시민로 286041-537-3751
17온양6동행정복지센터충청남도 아산시 외암로 1330041-537-3761
18농업기술센터충청남도 아산시 염치읍 염성길 70-301422-42
19수도사업소충청남도 아산시 시민로 457번길 301422-42
20평생학습문화센터충청남도 아산시 남부로 921422-42
21보건소충청남도 아산시 번영로 224번길 201422-42