Overview

Dataset statistics

Number of variables4
Number of observations59
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.0 KiB
Average record size in memory34.2 B

Variable types

Categorical1
Text3

Dataset

Description전라남도 영암군 공공기관 현황정보를 포함한 데이터로 기관구분, 기관명, 도로명주소, 전화번호 등의 정보를 제공하고 있습니다.
URLhttps://www.data.go.kr/data/15121390/fileData.do

Alerts

전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:17:17.823268
Analysis finished2023-12-12 08:17:18.274367
Duration0.45 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct3
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size604.0 B
국가기관
29 
지방자치단체
19 
공공기관
11 

Length

Max length6
Median length4
Mean length4.6440678
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
국가기관 29
49.2%
지방자치단체 19
32.2%
공공기관 11
 
18.6%

Length

2023-12-12T17:17:18.389983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:17:18.541598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
국가기관 29
49.2%
지방자치단체 19
32.2%
공공기관 11
 
18.6%

기관명
Text

Distinct57
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size604.0 B
2023-12-12T17:17:18.832489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length16
Mean length7.3898305
Min length3

Characters and Unicode

Total characters436
Distinct characters97
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique55 ?
Unique (%)93.2%

Sample

1st row국립공원관리공단 월출산관리사무소
2nd row농산물품질관리원 영암출장소
3rd row농협중앙회 영암군지부
4th row산림청 산림항공관리소 영암지소
5th row산림청 영암국유림관리소
ValueCountFrequency (%)
영암군 3
 
4.2%
영암경찰서 2
 
2.8%
영암소방서 2
 
2.8%
산림청 2
 
2.8%
영암지점 2
 
2.8%
금정면행정복지센터 1
 
1.4%
군서면행정복지센터 1
 
1.4%
학산파출소 1
 
1.4%
학산지역대 1
 
1.4%
읍내파출소 1
 
1.4%
Other values (56) 56
77.8%
2023-12-12T17:17:19.368728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
암 26
 
6.0%
영 24
 
5.5%
지 21
 
4.8%
터 20
 
4.6%
센 20
 
4.6%
소 15
 
3.4%
13
 
3.0%
정 13
 
3.0%
서 12
 
2.8%
산 11
 
2.5%
Other values (87) 261
59.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 408
93.6%
Space Separator 13
 
3.0%
Decimal Number 12
 
2.8%
Uppercase Letter 2
 
0.5%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
암 26
 
6.4%
영 24
 
5.9%
지 21
 
5.1%
터 20
 
4.9%
센 20
 
4.9%
소 15
 
3.7%
정 13
 
3.2%
서 12
 
2.9%
산 11
 
2.7%
복 11
 
2.7%
Other values (81) 235
57.6%
Decimal Number
ValueCountFrequency (%)
1 8
66.7%
9 4
33.3%
Uppercase Letter
ValueCountFrequency (%)
T 1
50.0%
K 1
50.0%
Space Separator
ValueCountFrequency (%)
13
100.0%
Other Punctuation
ValueCountFrequency (%)
? 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 408
93.6%
Common 26
 
6.0%
Latin 2
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
암 26
 
6.4%
영 24
 
5.9%
지 21
 
5.1%
터 20
 
4.9%
센 20
 
4.9%
소 15
 
3.7%
정 13
 
3.2%
서 12
 
2.9%
산 11
 
2.7%
복 11
 
2.7%
Other values (81) 235
57.6%
Common
ValueCountFrequency (%)
13
50.0%
1 8
30.8%
9 4
 
15.4%
? 1
 
3.8%
Latin
ValueCountFrequency (%)
T 1
50.0%
K 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 408
93.6%
ASCII 28
 
6.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
암 26
 
6.4%
영 24
 
5.9%
지 21
 
5.1%
터 20
 
4.9%
센 20
 
4.9%
소 15
 
3.7%
정 13
 
3.2%
서 12
 
2.9%
산 11
 
2.7%
복 11
 
2.7%
Other values (81) 235
57.6%
ASCII
ValueCountFrequency (%)
13
46.4%
1 8
28.6%
9 4
 
14.3%
? 1
 
3.6%
T 1
 
3.6%
K 1
 
3.6%

도로명주소
Text

Distinct53
Distinct (%)89.8%
Missing0
Missing (%)0.0%
Memory size604.0 B
2023-12-12T17:17:19.722173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length22
Mean length19.915254
Min length17

Characters and Unicode

Total characters1175
Distinct characters86
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

Unique49 ?
Unique (%)83.1%

Sample

1st row전라남도 영암읍 천황사로 280-20
2nd row전라남도 영암군 영암읍 낭주로 195
3rd row전라남도 영암군 영암읍 중앙로 43
4th row전라남도 영암군 덕진면 소방항공대길 95
5th row전라남도 영암군 도포면 입비동길 1
ValueCountFrequency (%)
전라남도 59
20.3%
영암군 58
19.9%
영암읍 25
 
8.6%
삼호읍 8
 
2.7%
나불로 4
 
1.4%
192 4
 
1.4%
서남역로 4
 
1.4%
덕진면 4
 
1.4%
학산면 4
 
1.4%
중앙로 3
 
1.0%
Other values (85) 118
40.5%
2023-12-12T17:17:20.203175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
232
19.7%
영 85
 
7.2%
암 85
 
7.2%
남 66
 
5.6%
군 64
 
5.4%
도 63
 
5.4%
전 59
 
5.0%
라 59
 
5.0%
로 52
 
4.4%
1 38
 
3.2%
Other values (76) 372
31.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 789
67.1%
Space Separator 232
 
19.7%
Decimal Number 145
 
12.3%
Dash Punctuation 9
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 85
10.8%
암 85
10.8%
남 66
 
8.4%
군 64
 
8.1%
도 63
 
8.0%
전 59
 
7.5%
라 59
 
7.5%
로 52
 
6.6%
읍 33
 
4.2%
면 26
 
3.3%
Other values (64) 197
25.0%
Decimal Number
ValueCountFrequency (%)
1 38
26.2%
9 18
12.4%
3 17
11.7%
2 17
11.7%
5 14
 
9.7%
8 11
 
7.6%
4 10
 
6.9%
6 7
 
4.8%
0 7
 
4.8%
7 6
 
4.1%
Space Separator
ValueCountFrequency (%)
232
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 789
67.1%
Common 386
32.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 85
10.8%
암 85
10.8%
남 66
 
8.4%
군 64
 
8.1%
도 63
 
8.0%
전 59
 
7.5%
라 59
 
7.5%
로 52
 
6.6%
읍 33
 
4.2%
면 26
 
3.3%
Other values (64) 197
25.0%
Common
ValueCountFrequency (%)
232
60.1%
1 38
 
9.8%
9 18
 
4.7%
3 17
 
4.4%
2 17
 
4.4%
5 14
 
3.6%
8 11
 
2.8%
4 10
 
2.6%
- 9
 
2.3%
6 7
 
1.8%
Other values (2) 13
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 789
67.1%
ASCII 386
32.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
232
60.1%
1 38
 
9.8%
9 18
 
4.7%
3 17
 
4.4%
2 17
 
4.4%
5 14
 
3.6%
8 11
 
2.8%
4 10
 
2.6%
- 9
 
2.3%
6 7
 
1.8%
Other values (2) 13
 
3.4%
Hangul
ValueCountFrequency (%)
영 85
10.8%
암 85
10.8%
남 66
 
8.4%
군 64
 
8.1%
도 63
 
8.0%
전 59
 
7.5%
라 59
 
7.5%
로 52
 
6.6%
읍 33
 
4.2%
면 26
 
3.3%
Other values (64) 197
25.0%

전화번호
Text

UNIQUE 

Distinct59
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size604.0 B
2023-12-12T17:17:20.482083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.40678
Min length3

Characters and Unicode

Total characters673
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

Unique59 ?
Unique (%)100.0%

Sample

1st row061-473-5210
2nd row061-470-3000
3rd row061-473-2181
4th row061-471-2946
5th row061-472-6074
ValueCountFrequency (%)
061-473-5210 1
 
1.7%
182 1
 
1.7%
061-472-0999 1
 
1.7%
061-473-2632 1
 
1.7%
061-462-0119 1
 
1.7%
061-460-0900 1
 
1.7%
1300 1
 
1.7%
061-473-2112 1
 
1.7%
061-460-0970 1
 
1.7%
061-472-4112 1
 
1.7%
Other values (49) 49
83.1%
2023-12-12T17:17:20.891430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 115
17.1%
1 111
16.5%
- 110
16.3%
6 91
13.5%
4 72
10.7%
7 57
8.5%
2 51
7.6%
3 29
 
4.3%
9 19
 
2.8%
8 10
 
1.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 563
83.7%
Dash Punctuation 110
 
16.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 115
20.4%
1 111
19.7%
6 91
16.2%
4 72
12.8%
7 57
10.1%
2 51
9.1%
3 29
 
5.2%
9 19
 
3.4%
8 10
 
1.8%
5 8
 
1.4%
Dash Punctuation
ValueCountFrequency (%)
- 110
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 673
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 115
17.1%
1 111
16.5%
- 110
16.3%
6 91
13.5%
4 72
10.7%
7 57
8.5%
2 51
7.6%
3 29
 
4.3%
9 19
 
2.8%
8 10
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 673
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 115
17.1%
1 111
16.5%
- 110
16.3%
6 91
13.5%
4 72
10.7%
7 57
8.5%
2 51
7.6%
3 29
 
4.3%
9 19
 
2.8%
8 10
 
1.5%

Correlations

2023-12-12T17:17:21.031262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분기관명도로명주소전화번호
구분1.0001.0001.0001.000
기관명1.0001.0001.0001.000
도로명주소1.0001.0001.0001.000
전화번호1.0001.0001.0001.000

Missing values

2023-12-12T17:17:18.121613image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:17:18.225708image/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

구분기관명도로명주소전화번호
0공공기관국립공원관리공단 월출산관리사무소전라남도 영암읍 천황사로 280-20061-473-5210
1공공기관농산물품질관리원 영암출장소전라남도 영암군 영암읍 낭주로 195061-470-3000
2공공기관농협중앙회 영암군지부전라남도 영암군 영암읍 중앙로 43061-473-2181
3공공기관산림청 산림항공관리소 영암지소전라남도 영암군 덕진면 소방항공대길 95061-471-2946
4공공기관산림청 영암국유림관리소전라남도 영암군 도포면 입비동길 1061-472-6074
5공공기관영암군 산림조합전라남도 영암군 영암읍 중앙로 93061-473-2449
6공공기관영암군 선거관리위원회전라남도 영암군 영암읍 군청로 1061-473-2106
7공공기관전라남도교육청영암도서관전라남도 영암군 영암읍 서남역로 27-11061-473-0692
8공공기관축산업협동조합전라남도 영암군 영암읍 중앙로 66061-473-0881
9공공기관한국농촌공사 영암지부전라남도 영암군 영암읍 교동로 59061-471-1136
구분기관명도로명주소전화번호
49지방자치단체수도사업소전라남도 영암군 영암읍 월출로 255061-470-6705
50지방자치단체시종면행정복지센터전라남도 영암군 시종면 내동중앙로 41061-470-6252
51지방자치단체신북면행정복지센터전라남도 영암군 신북면 간은정로 29061-470-6230
52지방자치단체영암군 의회전라남도 영암군 영암읍 군청로1061-470-2864
53지방자치단체영암군청전라남도 영암군 영암읍 군청로1061-470-2114
54지방자치단체영암도서관전라남도 영암군 영암읍 교동로 89-5061-470-6824
55지방자치단체영암읍 행정복지센터전라남도 영암군 영암읍 낭주로133061-470-6032
56지방자치단체종합사회복지관전라남도 영암군 영암읍 오리정길 39061-470-6747
57지방자치단체학산도서관전라남도 영암군 학산면 영산로 36061-470-6436
58지방자치단체학산면행정복지센터전라남도 영암군 학산면 독천로 193-1061-470-6414