Overview

Dataset statistics

Number of variables4
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 KiB
Average record size in memory36.6 B

Variable types

Text3
DateTime1

Dataset

Description경상북도 영덕군에 위치하는 공공기관 및 유관기관 전체 기관명, 소재지, 연락처 등 관련정보를 아래와 같이 제공하고자 합니다.
Author경상북도 영덕군
URLhttps://www.data.go.kr/data/15016414/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
구분 has unique valuesUnique
도로명주소 has unique valuesUnique
연락처 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:32:50.836622
Analysis finished2023-12-12 09:32:51.231491
Duration0.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-12T18:32:51.419645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length8.6551724
Min length4

Characters and Unicode

Total characters251
Distinct characters79
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row영덕군청
2nd row영덕읍사무소
3rd row강구면사무소
4th row남정면사무소
5th row달산면사무소
ValueCountFrequency (%)
영덕군청 1
 
2.7%
대구지방검찰청 1
 
2.7%
한국농촌공사 1
 
2.7%
영덕울진지사 1
 
2.7%
영덕군선거관리위원회 1
 
2.7%
영덕문화원 1
 
2.7%
한국국토정보공사대구경북본부 1
 
2.7%
영덕군지사 1
 
2.7%
영덕국유림관리소 1
 
2.7%
국립농산물품질관리원 1
 
2.7%
Other values (27) 27
73.0%
2023-12-12T18:32:51.898179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
영 22
 
8.8%
덕 21
 
8.4%
사 16
 
6.4%
지 14
 
5.6%
소 13
 
5.2%
무 12
 
4.8%
국 9
 
3.6%
원 8
 
3.2%
면 8
 
3.2%
8
 
3.2%
Other values (69) 120
47.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 237
94.4%
Space Separator 8
 
3.2%
Uppercase Letter 5
 
2.0%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 22
 
9.3%
덕 21
 
8.9%
사 16
 
6.8%
지 14
 
5.9%
소 13
 
5.5%
무 12
 
5.1%
국 9
 
3.8%
원 8
 
3.4%
면 8
 
3.4%
청 5
 
2.1%
Other values (64) 109
46.0%
Uppercase Letter
ValueCountFrequency (%)
T 2
40.0%
K 2
40.0%
G 1
20.0%
Space Separator
ValueCountFrequency (%)
8
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 237
94.4%
Common 9
 
3.6%
Latin 5
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 22
 
9.3%
덕 21
 
8.9%
사 16
 
6.8%
지 14
 
5.9%
소 13
 
5.5%
무 12
 
5.1%
국 9
 
3.8%
원 8
 
3.4%
면 8
 
3.4%
청 5
 
2.1%
Other values (64) 109
46.0%
Latin
ValueCountFrequency (%)
T 2
40.0%
K 2
40.0%
G 1
20.0%
Common
ValueCountFrequency (%)
8
88.9%
& 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 237
94.4%
ASCII 14
 
5.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
영 22
 
9.3%
덕 21
 
8.9%
사 16
 
6.8%
지 14
 
5.9%
소 13
 
5.5%
무 12
 
5.1%
국 9
 
3.8%
원 8
 
3.4%
면 8
 
3.4%
청 5
 
2.1%
Other values (64) 109
46.0%
ASCII
ValueCountFrequency (%)
8
57.1%
T 2
 
14.3%
K 2
 
14.3%
& 1
 
7.1%
G 1
 
7.1%

도로명주소
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-12T18:32:52.193980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length25
Mean length20.896552
Min length18

Characters and Unicode

Total characters606
Distinct characters59
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

Unique29 ?
Unique (%)100.0%

Sample

1st row경상북도 영덕군 영덕읍 군청길 116
2nd row경상북도 영덕군 영덕읍 우곡길 62
3rd row경상북도 영덕군 강구면 동해대로 4526
4th row경상북도 영덕군 남정면 진불길 43
5th row경상북도 영덕군 달산면 팔각산로 1829
ValueCountFrequency (%)
경상북도 29
19.7%
영덕군 29
19.7%
영덕읍 19
 
12.9%
경동로 5
 
3.4%
영덕로 3
 
2.0%
우곡길 3
 
2.0%
영해면 3
 
2.0%
53 2
 
1.4%
14 2
 
1.4%
군청길 2
 
1.4%
Other values (50) 50
34.0%
2023-12-12T18:32:52.704188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
118
19.5%
영 57
 
9.4%
덕 56
 
9.2%
경 34
 
5.6%
군 32
 
5.3%
도 30
 
5.0%
북 29
 
4.8%
상 29
 
4.8%
1 21
 
3.5%
읍 20
 
3.3%
Other values (49) 180
29.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 389
64.2%
Space Separator 118
 
19.5%
Decimal Number 93
 
15.3%
Dash Punctuation 4
 
0.7%
Uppercase Letter 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 57
14.7%
덕 56
14.4%
경 34
8.7%
군 32
8.2%
도 30
7.7%
북 29
 
7.5%
상 29
 
7.5%
읍 20
 
5.1%
길 18
 
4.6%
로 11
 
2.8%
Other values (35) 73
18.8%
Decimal Number
ValueCountFrequency (%)
1 21
22.6%
3 17
18.3%
5 10
10.8%
2 10
10.8%
4 9
9.7%
7 7
 
7.5%
6 6
 
6.5%
8 6
 
6.5%
9 4
 
4.3%
0 3
 
3.2%
Uppercase Letter
ValueCountFrequency (%)
T 1
50.0%
K 1
50.0%
Space Separator
ValueCountFrequency (%)
118
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 389
64.2%
Common 215
35.5%
Latin 2
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 57
14.7%
덕 56
14.4%
경 34
8.7%
군 32
8.2%
도 30
7.7%
북 29
 
7.5%
상 29
 
7.5%
읍 20
 
5.1%
길 18
 
4.6%
로 11
 
2.8%
Other values (35) 73
18.8%
Common
ValueCountFrequency (%)
118
54.9%
1 21
 
9.8%
3 17
 
7.9%
5 10
 
4.7%
2 10
 
4.7%
4 9
 
4.2%
7 7
 
3.3%
6 6
 
2.8%
8 6
 
2.8%
- 4
 
1.9%
Other values (2) 7
 
3.3%
Latin
ValueCountFrequency (%)
T 1
50.0%
K 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 389
64.2%
ASCII 217
35.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
118
54.4%
1 21
 
9.7%
3 17
 
7.8%
5 10
 
4.6%
2 10
 
4.6%
4 9
 
4.1%
7 7
 
3.2%
6 6
 
2.8%
8 6
 
2.8%
- 4
 
1.8%
Other values (4) 9
 
4.1%
Hangul
ValueCountFrequency (%)
영 57
14.7%
덕 56
14.4%
경 34
8.7%
군 32
8.2%
도 30
7.7%
북 29
 
7.5%
상 29
 
7.5%
읍 20
 
5.1%
길 18
 
4.6%
로 11
 
2.8%
Other values (35) 73
18.8%

연락처
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-12T18:32:52.997360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters348
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

Unique29 ?
Unique (%)100.0%

Sample

1st row054-730-6114
2nd row054-730-7122
3rd row054-730-7221
4th row054-730-7305
5th row054-730-7403
ValueCountFrequency (%)
054-730-6114 1
 
3.4%
054-732-0007 1
 
3.4%
054-730-2110 1
 
3.4%
054-732-0399 1
 
3.4%
054-730-8510 1
 
3.4%
054-733-9860 1
 
3.4%
054-730-8100 1
 
3.4%
054-734-3897 1
 
3.4%
054-734-2456 1
 
3.4%
054-733-3372 1
 
3.4%
Other values (19) 19
65.5%
2023-12-12T18:32:53.461004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 72
20.7%
- 58
16.7%
3 47
13.5%
7 42
12.1%
4 41
11.8%
5 39
11.2%
2 16
 
4.6%
1 15
 
4.3%
8 8
 
2.3%
6 5
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 290
83.3%
Dash Punctuation 58
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 72
24.8%
3 47
16.2%
7 42
14.5%
4 41
14.1%
5 39
13.4%
2 16
 
5.5%
1 15
 
5.2%
8 8
 
2.8%
6 5
 
1.7%
9 5
 
1.7%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 348
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 72
20.7%
- 58
16.7%
3 47
13.5%
7 42
12.1%
4 41
11.8%
5 39
11.2%
2 16
 
4.6%
1 15
 
4.3%
8 8
 
2.3%
6 5
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 348
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 72
20.7%
- 58
16.7%
3 47
13.5%
7 42
12.1%
4 41
11.8%
5 39
11.2%
2 16
 
4.6%
1 15
 
4.3%
8 8
 
2.3%
6 5
 
1.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2022-08-25 00:00:00
Maximum2022-08-25 00:00:00
2023-12-12T18:32:53.641726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:32:53.780520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T18:32:53.873230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분도로명주소연락처
구분1.0001.0001.000
도로명주소1.0001.0001.000
연락처1.0001.0001.000

Missing values

2023-12-12T18:32:51.075486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:32:51.187679image/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

구분도로명주소연락처데이터기준일자
0영덕군청경상북도 영덕군 영덕읍 군청길 116054-730-61142022-08-25
1영덕읍사무소경상북도 영덕군 영덕읍 우곡길 62054-730-71222022-08-25
2강구면사무소경상북도 영덕군 강구면 동해대로 4526054-730-72212022-08-25
3남정면사무소경상북도 영덕군 남정면 진불길 43054-730-73052022-08-25
4달산면사무소경상북도 영덕군 달산면 팔각산로 1829054-730-74032022-08-25
5지품면사무소경상북도 영덕군 지품면 경동로 7153054-730-75032022-08-25
6축산면사무소경상북도 영덕군 축산면 도곡길 67054-730-76032022-08-25
7영해면사무소경상북도 영덕군 영해면 예주3길 7054-730-77222022-08-25
8병곡면사무소경상북도 영덕군 병곡면 병곡길 36-15054-730-78042022-08-25
9창수면사무소경상북도 영덕군 창수면 신기길 5054-730-79042022-08-25
구분도로명주소연락처데이터기준일자
19한국농촌공사 영덕울진지사경상북도 영덕군 영해면 영덕로 1786054-730-50042022-08-25
20영덕군선거관리위원회경상북도 영덕군 영덕읍 경동로 8322054-733-33722022-08-25
21영덕문화원경상북도 영덕군 영덕읍 강변길 324054-734-24562022-08-25
22한국국토정보공사대구경북본부 영덕군지사경상북도 영덕군 영덕읍 덕곡천길 74054-734-38972022-08-25
23영덕국유림관리소경상북도 영덕군 영해면 벌영3길 27054-730-81002022-08-25
24국립농산물품질관리원 경북지원 영덕사무소경상북도 영덕군 영덕읍 군청길 1291054-733-98602022-08-25
25국립영덕청소년해양환경체험센터경상북도 영덕군 영덕읍 영덕대게로 911-44054-730-85102022-08-25
26KT&G영덕지점경상북도 영덕군 영덕읍 덕곡2길 10054-732-03992022-08-25
27국민건강보험공단 울진영덕지사경상북도 영덕군 영덕읍 영덕로 135054-730-21102022-08-25
28법무부 영덕준법지원센터경상북도 영덕군 영덕읍 우곡길 53 KT영덕지사 3층054-734-63832022-08-25