Overview

Dataset statistics

Number of variables5
Number of observations25
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory45.1 B

Variable types

Text4
Categorical1

Dataset

Description강원특별자치도 춘천시 행정복지센터 현황으로 읍면동명, 소재지도로명주소, 대표전화번호, 팩스번호, 데이터기준일에 대한 자료
Author강원특별자치도 춘천시
URLhttps://www.data.go.kr/data/15076325/fileData.do

Alerts

데이터기준일 has constant value ""Constant
읍면동명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
대표전화번호 has unique valuesUnique
팩스번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 18:20:20.957879
Analysis finished2024-03-14 18:20:21.748388
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

읍면동명
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size328.0 B
2024-03-15T03:20:22.484324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length9.16
Min length8

Characters and Unicode

Total characters229
Distinct characters37
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

Unique25 ?
Unique (%)100.0%

Sample

1st row신북읍행정복지센터
2nd row동면행정복지센터
3rd row동산면행정복지센터
4th row신동면행정복지센터
5th row동내면행정복지센터
ValueCountFrequency (%)
신북읍행정복지센터 1
 
4.0%
약사명동행정복지센터 1
 
4.0%
강남동행정복지센터 1
 
4.0%
퇴계동행정복지센터 1
 
4.0%
석사동행정복지센터 1
 
4.0%
효자3동행정복지센터 1
 
4.0%
효자2동행정복지센터 1
 
4.0%
효자1동행정복지센터 1
 
4.0%
후평3동행정복지센터 1
 
4.0%
후평2동행정복지센터 1
 
4.0%
Other values (15) 15
60.0%
2024-03-15T03:20:23.620893image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
행 25
10.9%
정 25
10.9%
복 25
10.9%
지 25
10.9%
센 25
10.9%
터 25
10.9%
동 19
8.3%
면 9
 
3.9%
사 4
 
1.7%
신 3
 
1.3%
Other values (27) 44
19.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 223
97.4%
Decimal Number 6
 
2.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
행 25
11.2%
정 25
11.2%
복 25
11.2%
지 25
11.2%
센 25
11.2%
터 25
11.2%
동 19
8.5%
면 9
 
4.0%
사 4
 
1.8%
신 3
 
1.3%
Other values (24) 38
17.0%
Decimal Number
ValueCountFrequency (%)
3 2
33.3%
2 2
33.3%
1 2
33.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 223
97.4%
Common 6
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
행 25
11.2%
정 25
11.2%
복 25
11.2%
지 25
11.2%
센 25
11.2%
터 25
11.2%
동 19
8.5%
면 9
 
4.0%
사 4
 
1.8%
신 3
 
1.3%
Other values (24) 38
17.0%
Common
ValueCountFrequency (%)
3 2
33.3%
2 2
33.3%
1 2
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 223
97.4%
ASCII 6
 
2.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
행 25
11.2%
정 25
11.2%
복 25
11.2%
지 25
11.2%
센 25
11.2%
터 25
11.2%
동 19
8.5%
면 9
 
4.0%
사 4
 
1.8%
신 3
 
1.3%
Other values (24) 38
17.0%
ASCII
ValueCountFrequency (%)
3 2
33.3%
2 2
33.3%
1 2
33.3%

소재지도로명주소
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size328.0 B
2024-03-15T03:20:24.604891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length16.32
Min length13

Characters and Unicode

Total characters408
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

Unique25 ?
Unique (%)100.0%

Sample

1st row강원도 춘천시 신북읍 율문길 75
2nd row강원도 춘천시 동면 가산로 69
3rd row강원도 춘천시 동산면 조양길 270
4th row강원도 춘천시 신동면 김유정로 1418
5th row강원도 춘천시 동내면 동내로 78
ValueCountFrequency (%)
강원도 25
22.7%
춘천시 25
22.7%
영서로 2
 
1.8%
9 2
 
1.8%
후석로 2
 
1.8%
사우4길 1
 
0.9%
86 1
 
0.9%
금강로 1
 
0.9%
17 1
 
0.9%
교동길 1
 
0.9%
Other values (49) 49
44.5%
2024-03-15T03:20:26.157992image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
85
20.8%
강 26
 
6.4%
도 25
 
6.1%
춘 25
 
6.1%
천 25
 
6.1%
시 25
 
6.1%
원 25
 
6.1%
길 14
 
3.4%
1 13
 
3.2%
로 13
 
3.2%
Other values (56) 132
32.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 258
63.2%
Space Separator 85
 
20.8%
Decimal Number 64
 
15.7%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
강 26
 
10.1%
도 25
 
9.7%
춘 25
 
9.7%
천 25
 
9.7%
시 25
 
9.7%
원 25
 
9.7%
길 14
 
5.4%
로 13
 
5.0%
면 9
 
3.5%
동 6
 
2.3%
Other values (44) 65
25.2%
Decimal Number
ValueCountFrequency (%)
1 13
20.3%
4 9
14.1%
8 8
12.5%
7 7
10.9%
3 6
9.4%
0 5
 
7.8%
2 5
 
7.8%
9 5
 
7.8%
6 4
 
6.2%
5 2
 
3.1%
Space Separator
ValueCountFrequency (%)
85
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 258
63.2%
Common 150
36.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
강 26
 
10.1%
도 25
 
9.7%
춘 25
 
9.7%
천 25
 
9.7%
시 25
 
9.7%
원 25
 
9.7%
길 14
 
5.4%
로 13
 
5.0%
면 9
 
3.5%
동 6
 
2.3%
Other values (44) 65
25.2%
Common
ValueCountFrequency (%)
85
56.7%
1 13
 
8.7%
4 9
 
6.0%
8 8
 
5.3%
7 7
 
4.7%
3 6
 
4.0%
0 5
 
3.3%
2 5
 
3.3%
9 5
 
3.3%
6 4
 
2.7%
Other values (2) 3
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 258
63.2%
ASCII 150
36.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
85
56.7%
1 13
 
8.7%
4 9
 
6.0%
8 8
 
5.3%
7 7
 
4.7%
3 6
 
4.0%
0 5
 
3.3%
2 5
 
3.3%
9 5
 
3.3%
6 4
 
2.7%
Other values (2) 3
 
2.0%
Hangul
ValueCountFrequency (%)
강 26
 
10.1%
도 25
 
9.7%
춘 25
 
9.7%
천 25
 
9.7%
시 25
 
9.7%
원 25
 
9.7%
길 14
 
5.4%
로 13
 
5.0%
면 9
 
3.5%
동 6
 
2.3%
Other values (44) 65
25.2%

대표전화번호
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size328.0 B
2024-03-15T03:20:27.037757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters300
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 (%)100.0%

Sample

1st row033-250-3601
2nd row033-250-3602
3rd row033-250-3603
4th row033-250-3604
5th row033-250-3605
ValueCountFrequency (%)
033-250-3601 1
 
4.0%
033-250-3614 1
 
4.0%
033-250-3624 1
 
4.0%
033-250-3623 1
 
4.0%
033-250-3622 1
 
4.0%
033-250-3621 1
 
4.0%
033-250-3620 1
 
4.0%
033-250-3619 1
 
4.0%
033-250-3618 1
 
4.0%
033-250-3617 1
 
4.0%
Other values (15) 15
60.0%
2024-03-15T03:20:28.137022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 78
26.0%
0 61
20.3%
- 50
16.7%
2 34
11.3%
5 28
 
9.3%
6 27
 
9.0%
1 13
 
4.3%
4 3
 
1.0%
7 2
 
0.7%
8 2
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 250
83.3%
Dash Punctuation 50
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 78
31.2%
0 61
24.4%
2 34
13.6%
5 28
 
11.2%
6 27
 
10.8%
1 13
 
5.2%
4 3
 
1.2%
7 2
 
0.8%
8 2
 
0.8%
9 2
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 300
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 78
26.0%
0 61
20.3%
- 50
16.7%
2 34
11.3%
5 28
 
9.3%
6 27
 
9.0%
1 13
 
4.3%
4 3
 
1.0%
7 2
 
0.7%
8 2
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 78
26.0%
0 61
20.3%
- 50
16.7%
2 34
11.3%
5 28
 
9.3%
6 27
 
9.0%
1 13
 
4.3%
4 3
 
1.0%
7 2
 
0.7%
8 2
 
0.7%

팩스번호
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size328.0 B
2024-03-15T03:20:28.851866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters300
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 (%)100.0%

Sample

1st row033-250-3901
2nd row033-250-3902
3rd row033-250-3903
4th row033-250-3904
5th row033-250-3905
ValueCountFrequency (%)
033-250-3901 1
 
4.0%
033-250-3914 1
 
4.0%
033-250-3924 1
 
4.0%
033-250-3923 1
 
4.0%
033-250-3922 1
 
4.0%
033-250-3921 1
 
4.0%
033-250-3920 1
 
4.0%
033-250-3919 1
 
4.0%
033-250-3918 1
 
4.0%
033-250-3917 1
 
4.0%
Other values (15) 15
60.0%
2024-03-15T03:20:29.891914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 78
26.0%
0 61
20.3%
- 50
16.7%
2 34
11.3%
5 28
 
9.3%
9 27
 
9.0%
1 13
 
4.3%
4 3
 
1.0%
6 2
 
0.7%
7 2
 
0.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 250
83.3%
Dash Punctuation 50
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 78
31.2%
0 61
24.4%
2 34
13.6%
5 28
 
11.2%
9 27
 
10.8%
1 13
 
5.2%
4 3
 
1.2%
6 2
 
0.8%
7 2
 
0.8%
8 2
 
0.8%
Dash Punctuation
ValueCountFrequency (%)
- 50
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 300
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 78
26.0%
0 61
20.3%
- 50
16.7%
2 34
11.3%
5 28
 
9.3%
9 27
 
9.0%
1 13
 
4.3%
4 3
 
1.0%
6 2
 
0.7%
7 2
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 300
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 78
26.0%
0 61
20.3%
- 50
16.7%
2 34
11.3%
5 28
 
9.3%
9 27
 
9.0%
1 13
 
4.3%
4 3
 
1.0%
6 2
 
0.7%
7 2
 
0.7%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Memory size328.0 B
2024-03-06
25 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-06
2nd row2024-03-06
3rd row2024-03-06
4th row2024-03-06
5th row2024-03-06

Common Values

ValueCountFrequency (%)
2024-03-06 25
100.0%

Length

2024-03-15T03:20:30.122419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T03:20:30.478310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2024-03-06 25
100.0%

Correlations

2024-03-15T03:20:30.626621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
읍면동명소재지도로명주소대표전화번호팩스번호
읍면동명1.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.000
대표전화번호1.0001.0001.0001.000
팩스번호1.0001.0001.0001.000

Missing values

2024-03-15T03:20:21.306598image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T03:20:21.640025image/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

읍면동명소재지도로명주소대표전화번호팩스번호데이터기준일
0신북읍행정복지센터강원도 춘천시 신북읍 율문길 75033-250-3601033-250-39012024-03-06
1동면행정복지센터강원도 춘천시 동면 가산로 69033-250-3602033-250-39022024-03-06
2동산면행정복지센터강원도 춘천시 동산면 조양길 270033-250-3603033-250-39032024-03-06
3신동면행정복지센터강원도 춘천시 신동면 김유정로 1418033-250-3604033-250-39042024-03-06
4동내면행정복지센터강원도 춘천시 동내면 동내로 78033-250-3605033-250-39052024-03-06
5남면행정복지센터강원도 춘천시 남면 충효로 1130-10033-250-3606033-250-39062024-03-06
6남산면행정복지센터강원도 춘천시 남산면 한치로 73033-250-3607033-250-39072024-03-06
7서면행정복지센터강원도 춘천시 서면 금산길 31033-250-3608033-250-39082024-03-06
8사북면행정복지센터강원도 춘천시 사북면 영서로 4721033-250-3609033-250-39092024-03-06
9북산면행정복지센터강원도 춘천시 북산면 북산로 493033-250-3610033-250-39102024-03-06
읍면동명소재지도로명주소대표전화번호팩스번호데이터기준일
15후평1동행정복지센터강원도 춘천시 후석로 403033-250-3616033-250-39162024-03-06
16후평2동행정복지센터강원도 춘천시 부안길6번길 45033-250-3617033-250-39172024-03-06
17후평3동행정복지센터강원도 춘천시 후만로 83033-250-3618033-250-39182024-03-06
18효자1동행정복지센터강원도 춘천시 효자상길 9033-250-3619033-250-39192024-03-06
19효자2동행정복지센터강원도 춘천시 돌담길10번길 8033-250-3620033-250-39202024-03-06
20효자3동행정복지센터강원도 춘천시 두하길 21033-250-3621033-250-39212024-03-06
21석사동행정복지센터강원도 춘천시 후석로 48033-250-3622033-250-39222024-03-06
22퇴계동행정복지센터강원도 춘천시 퇴계로 46033-250-3623033-250-39232024-03-06
23강남동행정복지센터강원도 춘천시 방송길 86033-250-3624033-250-39242024-03-06
24신사우동행정복지센터강원도 춘천시 사우4길 28033-250-3625033-250-39252024-03-06