Overview

Dataset statistics

Number of variables3
Number of observations27
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory780.0 B
Average record size in memory28.9 B

Variable types

Text3

Dataset

Description강원도 영월군 소속기관 현황으로 영월군청 및 읍면사무소, 보건소, 보건지소, 상하수도사업소 등 27개 기관의 명칭, 소재지, 연락처 항목을 제공합니다.
Author강원도 영월군
URLhttps://www.data.go.kr/data/15046138/fileData.do

Alerts

명칭 has unique valuesUnique
소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:07:28.426370
Analysis finished2023-12-12 08:07:28.767470
Duration0.34 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

명칭
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-12T17:07:28.937126image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length7.037037
Min length4

Characters and Unicode

Total characters190
Distinct characters52
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

Unique27 ?
Unique (%)100.0%

Sample

1st row영월군청
2nd row상하수도사업소
3rd row환경시설관리사업소
4th row영월읍사무소
5th row상동읍사무소
ValueCountFrequency (%)
보건지소 8
21.6%
한반도면 2
 
5.4%
영월군청 1
 
2.7%
보건소 1
 
2.7%
무릉보건진료소 1
 
2.7%
신천보건진료소 1
 
2.7%
연덕보건진료소 1
 
2.7%
석항보건진료소 1
 
2.7%
주천통합 1
 
2.7%
남면 1
 
2.7%
Other values (19) 19
51.4%
2023-12-12T17:07:29.358741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
소 26
 
13.7%
보 14
 
7.4%
건 14
 
7.4%
면 13
 
6.8%
사 11
 
5.8%
10
 
5.3%
무 10
 
5.3%
지 8
 
4.2%
료 5
 
2.6%
진 5
 
2.6%
Other values (42) 74
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 180
94.7%
Space Separator 10
 
5.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 26
 
14.4%
보 14
 
7.8%
건 14
 
7.8%
면 13
 
7.2%
사 11
 
6.1%
무 10
 
5.6%
지 8
 
4.4%
료 5
 
2.8%
진 5
 
2.8%
도 4
 
2.2%
Other values (41) 70
38.9%
Space Separator
ValueCountFrequency (%)
10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 180
94.7%
Common 10
 
5.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 26
 
14.4%
보 14
 
7.8%
건 14
 
7.8%
면 13
 
7.2%
사 11
 
6.1%
무 10
 
5.6%
지 8
 
4.4%
료 5
 
2.8%
진 5
 
2.8%
도 4
 
2.2%
Other values (41) 70
38.9%
Common
ValueCountFrequency (%)
10
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 180
94.7%
ASCII 10
 
5.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
소 26
 
14.4%
보 14
 
7.8%
건 14
 
7.8%
면 13
 
7.2%
사 11
 
6.1%
무 10
 
5.6%
지 8
 
4.4%
료 5
 
2.8%
진 5
 
2.8%
도 4
 
2.2%
Other values (41) 70
38.9%
ASCII
ValueCountFrequency (%)
10
100.0%

소재지
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-12T17:07:29.680614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length12.62963
Min length10

Characters and Unicode

Total characters341
Distinct characters66
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

Unique27 ?
Unique (%)100.0%

Sample

1st row영월읍 하송로 64
2nd row영월읍 덕포우회길 393
3rd row북면 영월로 1339-43
4th row영월읍 단종로 48-8
5th row상동읍 태백산로 3189
ValueCountFrequency (%)
영월읍 5
 
6.2%
북면 4
 
4.9%
한반도면 4
 
4.9%
중동면 3
 
3.7%
수주면 3
 
3.7%
태백산로 3
 
3.7%
영월로 2
 
2.5%
상동읍 2
 
2.5%
쌍용로 2
 
2.5%
하송로 2
 
2.5%
Other values (45) 51
63.0%
2023-12-12T17:07:30.215979image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
54
 
15.8%
면 20
 
5.9%
3 18
 
5.3%
로 18
 
5.3%
1 16
 
4.7%
- 15
 
4.4%
4 13
 
3.8%
6 10
 
2.9%
2 9
 
2.6%
길 9
 
2.6%
Other values (56) 159
46.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 178
52.2%
Decimal Number 94
27.6%
Space Separator 54
 
15.8%
Dash Punctuation 15
 
4.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
면 20
 
11.2%
로 18
 
10.1%
길 9
 
5.1%
월 7
 
3.9%
동 7
 
3.9%
영 7
 
3.9%
주 7
 
3.9%
읍 7
 
3.9%
산 6
 
3.4%
중 5
 
2.8%
Other values (44) 85
47.8%
Decimal Number
ValueCountFrequency (%)
3 18
19.1%
1 16
17.0%
4 13
13.8%
6 10
10.6%
2 9
9.6%
0 8
8.5%
8 8
8.5%
9 6
 
6.4%
7 5
 
5.3%
5 1
 
1.1%
Space Separator
ValueCountFrequency (%)
54
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 178
52.2%
Common 163
47.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
면 20
 
11.2%
로 18
 
10.1%
길 9
 
5.1%
월 7
 
3.9%
동 7
 
3.9%
영 7
 
3.9%
주 7
 
3.9%
읍 7
 
3.9%
산 6
 
3.4%
중 5
 
2.8%
Other values (44) 85
47.8%
Common
ValueCountFrequency (%)
54
33.1%
3 18
 
11.0%
1 16
 
9.8%
- 15
 
9.2%
4 13
 
8.0%
6 10
 
6.1%
2 9
 
5.5%
0 8
 
4.9%
8 8
 
4.9%
9 6
 
3.7%
Other values (2) 6
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 178
52.2%
ASCII 163
47.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
54
33.1%
3 18
 
11.0%
1 16
 
9.8%
- 15
 
9.2%
4 13
 
8.0%
6 10
 
6.1%
2 9
 
5.5%
0 8
 
4.9%
8 8
 
4.9%
9 6
 
3.7%
Other values (2) 6
 
3.7%
Hangul
ValueCountFrequency (%)
면 20
 
11.2%
로 18
 
10.1%
길 9
 
5.1%
월 7
 
3.9%
동 7
 
3.9%
영 7
 
3.9%
주 7
 
3.9%
읍 7
 
3.9%
산 6
 
3.4%
중 5
 
2.8%
Other values (44) 85
47.8%

연락처
Text

Distinct26
Distinct (%)96.3%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-12T17:07:30.487452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length11.888889
Min length9

Characters and Unicode

Total characters321
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

Unique25 ?
Unique (%)92.6%

Sample

1st row1577-0545
2nd row033-370-2520
3rd row033-370-2015
4th row033-370-2800
5th row033-370-2810
ValueCountFrequency (%)
033-370-2178 2
 
7.4%
1577-0545 1
 
3.7%
033-370-2008 1
 
3.7%
033-370-1634 1
 
3.7%
033-370-1633 1
 
3.7%
033-370-1632 1
 
3.7%
033-370-1631 1
 
3.7%
033-370-2159 1
 
3.7%
033-370-2179 1
 
3.7%
033-370-2177 1
 
3.7%
Other values (16) 16
59.3%
2023-12-12T17:07:30.933536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 86
26.8%
0 68
21.2%
- 53
16.5%
7 37
11.5%
2 25
 
7.8%
1 18
 
5.6%
8 13
 
4.0%
5 7
 
2.2%
6 6
 
1.9%
4 5
 
1.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 268
83.5%
Dash Punctuation 53
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 86
32.1%
0 68
25.4%
7 37
13.8%
2 25
 
9.3%
1 18
 
6.7%
8 13
 
4.9%
5 7
 
2.6%
6 6
 
2.2%
4 5
 
1.9%
9 3
 
1.1%
Dash Punctuation
ValueCountFrequency (%)
- 53
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 321
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 86
26.8%
0 68
21.2%
- 53
16.5%
7 37
11.5%
2 25
 
7.8%
1 18
 
5.6%
8 13
 
4.0%
5 7
 
2.2%
6 6
 
1.9%
4 5
 
1.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 321
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 86
26.8%
0 68
21.2%
- 53
16.5%
7 37
11.5%
2 25
 
7.8%
1 18
 
5.6%
8 13
 
4.0%
5 7
 
2.2%
6 6
 
1.9%
4 5
 
1.6%

Correlations

2023-12-12T17:07:31.083707image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
명칭소재지연락처
명칭1.0001.0001.000
소재지1.0001.0001.000
연락처1.0001.0001.000

Missing values

2023-12-12T17:07:28.640157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:07:28.733300image/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

명칭소재지연락처
0영월군청영월읍 하송로 641577-0545
1상하수도사업소영월읍 덕포우회길 393033-370-2520
2환경시설관리사업소북면 영월로 1339-43033-370-2015
3영월읍사무소영월읍 단종로 48-8033-370-2800
4상동읍사무소상동읍 태백산로 3189033-370-2810
5중동면사무소중동면 태백산로 1202033-370-2820
6김삿갓면사무소김삿갓면 옥동장터길 36033-370-2830
7북면사무소북면 봉래산로 937033-370-2840
8남면사무소남면 연당로 47-6033-370-2178
9한반도면사무소한반도면 신천길 6-6033-370-2860
명칭소재지연락처
17김삿갓면 보건지소김삿갓면 옥동장터길 34033-370-2174
18북면 보건지소북면 봉래산로 983033-370-2177
19남면 보건지소남면 연당로 123-1033-370-2178
20한반도면 보건지소한반도면 쌍용로 203-3033-370-2179
21주천통합 보건지소주천면 송학주천로 1467-20033-370-2159
22석항보건진료소중동면 영월로 3856-1033-370-1631
23연덕보건진료소북면 삼방산길 28-11033-370-1632
24신천보건진료소한반도면 서강로 724-4033-370-1633
25무릉보건진료소수주면 중방길 62-4033-370-1634
26운학보건진료소수주면 덕은골길 4033-370-1635