Overview

Dataset statistics

Number of variables4
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory36.4 B

Variable types

Text3
DateTime1

Dataset

Description전라북도 정읍시 지역아동센터 현황 중(시설명, 소재지도로명주소, 소재지지번주소, 전화번호)등의 정보를 제공하여 드립니다.
Author전라북도 정읍시
URLhttps://www.data.go.kr/data/15034968/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
시설명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 10:45:27.089174
Analysis finished2023-12-12 10:45:27.553045
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T19:45:27.736564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length3
Mean length2.9333333
Min length2

Characters and Unicode

Total characters88
Distinct characters62
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

Unique30 ?
Unique (%)100.0%

Sample

1st row꿈나무교실
2nd row정읍
3rd row햇살
4th row늘푸른
5th row새벽나래
ValueCountFrequency (%)
꿈나무교실 1
 
3.2%
레몬 1
 
3.2%
도담 1
 
3.2%
나눔 1
 
3.2%
미소 1
 
3.2%
하부 1
 
3.2%
아이원 1
 
3.2%
푸른꿈 1
 
3.2%
1
 
3.2%
1
 
3.2%
Other values (21) 21
67.7%
2023-12-12T19:45:28.179204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
11
 
12.5%
3
 
3.4%
3
 
3.4%
3
 
3.4%
2
 
2.3%
2
 
2.3%
2
 
2.3%
2
 
2.3%
2
 
2.3%
2
 
2.3%
Other values (52) 56
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 77
87.5%
Space Separator 11
 
12.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3
 
3.9%
3
 
3.9%
3
 
3.9%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
Other values (51) 54
70.1%
Space Separator
ValueCountFrequency (%)
11
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 77
87.5%
Common 11
 
12.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3
 
3.9%
3
 
3.9%
3
 
3.9%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
Other values (51) 54
70.1%
Common
ValueCountFrequency (%)
11
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 77
87.5%
ASCII 11
 
12.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
11
100.0%
Hangul
ValueCountFrequency (%)
3
 
3.9%
3
 
3.9%
3
 
3.9%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
2
 
2.6%
Other values (51) 54
70.1%
Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T19:45:28.471619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length22
Mean length20.666667
Min length15

Characters and Unicode

Total characters620
Distinct characters80
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row전라북도 정읍시 신태인읍 신태인중앙로 45번지
2nd row전라북도 정읍시 남산5길 19
3rd row전라북도 정읍시 수성 2로 27-10
4th row전라북도 정읍시 씨교2길 7
5th row전라북도 정읍시 수성택지 1길 29
ValueCountFrequency (%)
전라북도 30
21.9%
정읍시 30
21.9%
연지3길 3
 
2.2%
1길 2
 
1.5%
상가 2
 
1.5%
1층 2
 
1.5%
신태인읍 2
 
1.5%
19 1
 
0.7%
14-21,상가202호 1
 
0.7%
남산6길 1
 
0.7%
Other values (63) 63
46.0%
2023-12-12T19:45:29.000354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
124
20.0%
33
 
5.3%
33
 
5.3%
32
 
5.2%
30
 
4.8%
30
 
4.8%
30
 
4.8%
30
 
4.8%
1 25
 
4.0%
2 18
 
2.9%
Other values (70) 235
37.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 366
59.0%
Space Separator 124
 
20.0%
Decimal Number 116
 
18.7%
Dash Punctuation 11
 
1.8%
Other Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
33
 
9.0%
33
 
9.0%
32
 
8.7%
30
 
8.2%
30
 
8.2%
30
 
8.2%
30
 
8.2%
16
 
4.4%
14
 
3.8%
7
 
1.9%
Other values (55) 111
30.3%
Decimal Number
ValueCountFrequency (%)
1 25
21.6%
2 18
15.5%
3 14
12.1%
5 12
10.3%
0 11
9.5%
7 11
9.5%
6 8
 
6.9%
8 6
 
5.2%
4 6
 
5.2%
9 5
 
4.3%
Space Separator
ValueCountFrequency (%)
124
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 366
59.0%
Common 254
41.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
33
 
9.0%
33
 
9.0%
32
 
8.7%
30
 
8.2%
30
 
8.2%
30
 
8.2%
30
 
8.2%
16
 
4.4%
14
 
3.8%
7
 
1.9%
Other values (55) 111
30.3%
Common
ValueCountFrequency (%)
124
48.8%
1 25
 
9.8%
2 18
 
7.1%
3 14
 
5.5%
5 12
 
4.7%
0 11
 
4.3%
- 11
 
4.3%
7 11
 
4.3%
6 8
 
3.1%
8 6
 
2.4%
Other values (5) 14
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 366
59.0%
ASCII 254
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
124
48.8%
1 25
 
9.8%
2 18
 
7.1%
3 14
 
5.5%
5 12
 
4.7%
0 11
 
4.3%
- 11
 
4.3%
7 11
 
4.3%
6 8
 
3.1%
8 6
 
2.4%
Other values (5) 14
 
5.5%
Hangul
ValueCountFrequency (%)
33
 
9.0%
33
 
9.0%
32
 
8.7%
30
 
8.2%
30
 
8.2%
30
 
8.2%
30
 
8.2%
16
 
4.4%
14
 
3.8%
7
 
1.9%
Other values (55) 111
30.3%

전화번호
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-12T19:45:29.252615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.033333
Min length12

Characters and Unicode

Total characters361
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

Unique30 ?
Unique (%)100.0%

Sample

1st row063-571-3327
2nd row063-532-5356
3rd row063-531-5013
4th row063-536-6676
5th row063-536-3605
ValueCountFrequency (%)
063-571-3327 1
 
3.3%
063-532-5356 1
 
3.3%
063-532-5389 1
 
3.3%
063-535-9061 1
 
3.3%
063-537-9979 1
 
3.3%
063-534-4664 1
 
3.3%
063-927-3304 1
 
3.3%
063-533-9962 1
 
3.3%
063-533-0207 1
 
3.3%
063-533-2335 1
 
3.3%
Other values (20) 20
66.7%
2023-12-12T19:45:29.665279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 83
23.0%
- 60
16.6%
0 47
13.0%
6 46
12.7%
5 44
12.2%
2 19
 
5.3%
7 18
 
5.0%
9 14
 
3.9%
1 13
 
3.6%
4 9
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 301
83.4%
Dash Punctuation 60
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 83
27.6%
0 47
15.6%
6 46
15.3%
5 44
14.6%
2 19
 
6.3%
7 18
 
6.0%
9 14
 
4.7%
1 13
 
4.3%
4 9
 
3.0%
8 8
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 60
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 361
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 83
23.0%
- 60
16.6%
0 47
13.0%
6 46
12.7%
5 44
12.2%
2 19
 
5.3%
7 18
 
5.0%
9 14
 
3.9%
1 13
 
3.6%
4 9
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 361
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 83
23.0%
- 60
16.6%
0 47
13.0%
6 46
12.7%
5 44
12.2%
2 19
 
5.3%
7 18
 
5.0%
9 14
 
3.9%
1 13
 
3.6%
4 9
 
2.5%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2022-12-12 00:00:00
Maximum2022-12-12 00:00:00
2023-12-12T19:45:29.794803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T19:45:29.966596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T19:45:30.099626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명소재지도로명주소전화번호
시설명1.0001.0001.000
소재지도로명주소1.0001.0001.000
전화번호1.0001.0001.000

Missing values

2023-12-12T19:45:27.342503image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T19:45:27.491322image/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

시설명소재지도로명주소전화번호데이터기준일자
0꿈나무교실전라북도 정읍시 신태인읍 신태인중앙로 45번지063-571-33272022-12-12
1정읍전라북도 정읍시 남산5길 19063-532-53562022-12-12
2햇살전라북도 정읍시 수성 2로 27-10063-531-50132022-12-12
3늘푸른전라북도 정읍시 씨교2길 7063-536-66762022-12-12
4새벽나래전라북도 정읍시 수성택지 1길 29063-536-36052022-12-12
5신정전라북도 정읍시 부귀1길 43063-535-95342022-12-12
6고부전라북도 정읍시 고부면 교동2길 22-15063-533-03472022-12-12
7칠보전라북도 정읍시 칠보면 칠보중앙로 158063-538-32832022-12-12
8열린전라북도 정읍시 충정로 173063-533-40802022-12-12
9희망전라북도 정읍시 벚꽃로 542 2층063-533-56792022-12-12
시설명소재지도로명주소전화번호데이터기준일자
20수성전라북도 정읍시 샘골로 156 상가 206호063-535-33722022-12-12
21푸른숲속전라북도 정읍시 말고개길 73-5 상가301063-533-23352022-12-12
22한 솔전라북도 정읍시 하신경9길 14-21,상가202호063-533-02072022-12-12
23푸른꿈전라북도 정읍시 동부1길 78063-533-99622022-12-12
24아이원전라북도 정읍시 조곡천 1길 60-5063-927-33042022-12-12
25하부전라북도 정읍시 입암면 상부1길 7-4063-534-46642022-12-12
26미소전라북도 정읍시 학산로 76063-537-99792022-12-12
27나눔전라북도 정읍시 북면 정읍북로 631-23 상가 202063-535-90612022-12-12
28도담전라북도 정읍시 이평면 말목장터로500063-532-53892022-12-12
29아리솔전라북도 정읍시 연지3길 32063-532-79972022-12-12