Overview

Dataset statistics

Number of variables7
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory62.0 B

Variable types

Categorical1
Text4
DateTime2

Dataset

Description전북특별자치도 정읍시에 소재하는 (시설유형, 시설명, 소재지도로명주소, 소재지지번주소, 전화번호, 인가일)등의 정보를 제공합니다.
Author전북특별자치도 정읍시
URLhttps://www.data.go.kr/data/15048620/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
시설명 has unique valuesUnique

Reproduction

Analysis started2024-03-23 05:48:12.424082
Analysis finished2024-03-23 05:48:14.105027
Duration1.68 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설유형
Categorical

Distinct7
Distinct (%)31.8%
Missing0
Missing (%)0.0%
Memory size308.0 B
지역사회재활시설
생활시설(법인)
장애인활동지원
생활시설(개인)
기타
Other values (2)

Length

Max length12
Median length8
Mean length7.1363636
Min length2

Unique

Unique1 ?
Unique (%)4.5%

Sample

1st row생활시설(법인)
2nd row생활시설(법인)
3rd row생활시설(법인)
4th row생활시설(법인)
5th row생활시설(법인)

Common Values

ValueCountFrequency (%)
지역사회재활시설 7
31.8%
생활시설(법인) 5
22.7%
장애인활동지원 3
13.6%
생활시설(개인) 2
 
9.1%
기타 2
 
9.1%
직업재활 2
 
9.1%
생활시설(공동생활가정) 1
 
4.5%

Length

2024-03-23T14:48:14.205347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-23T14:48:14.378253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
지역사회재활시설 7
31.8%
생활시설(법인 5
22.7%
장애인활동지원 3
13.6%
생활시설(개인 2
 
9.1%
기타 2
 
9.1%
직업재활 2
 
9.1%
생활시설(공동생활가정 1
 
4.5%

시설명
Text

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-03-23T14:48:14.745523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12.5
Mean length9.1363636
Min length3

Characters and Unicode

Total characters201
Distinct characters79
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)100.0%

Sample

1st row자애원(지적,자폐)
2nd row자애두승원(중증장애인)
3rd row만복원(지적장애)
4th row정읍천사마을(지적장애)
5th row정읍나눔의 집(지적,자폐)
ValueCountFrequency (%)
집(지적,자폐 3
 
12.0%
자애원(지적,자폐 1
 
4.0%
울림주간보호센터 1
 
4.0%
정읍지역자활센터 1
 
4.0%
지체장애인협회 1
 
4.0%
만복보호작업장 1
 
4.0%
자애자립장 1
 
4.0%
북부장애인재활센터 1
 
4.0%
샘골야학교실 1
 
4.0%
수어통역센터 1
 
4.0%
Other values (13) 13
52.0%
2024-03-23T14:48:15.324304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
 
6.0%
11
 
5.5%
11
 
5.5%
9
 
4.5%
9
 
4.5%
) 9
 
4.5%
( 9
 
4.5%
8
 
4.0%
6
 
3.0%
6
 
3.0%
Other values (69) 111
55.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 176
87.6%
Close Punctuation 9
 
4.5%
Open Punctuation 9
 
4.5%
Other Punctuation 4
 
2.0%
Space Separator 3
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
12
 
6.8%
11
 
6.2%
11
 
6.2%
9
 
5.1%
9
 
5.1%
8
 
4.5%
6
 
3.4%
6
 
3.4%
4
 
2.3%
4
 
2.3%
Other values (65) 96
54.5%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 176
87.6%
Common 25
 
12.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
12
 
6.8%
11
 
6.2%
11
 
6.2%
9
 
5.1%
9
 
5.1%
8
 
4.5%
6
 
3.4%
6
 
3.4%
4
 
2.3%
4
 
2.3%
Other values (65) 96
54.5%
Common
ValueCountFrequency (%)
) 9
36.0%
( 9
36.0%
, 4
16.0%
3
 
12.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 176
87.6%
ASCII 25
 
12.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
12
 
6.8%
11
 
6.2%
11
 
6.2%
9
 
5.1%
9
 
5.1%
8
 
4.5%
6
 
3.4%
6
 
3.4%
4
 
2.3%
4
 
2.3%
Other values (65) 96
54.5%
ASCII
ValueCountFrequency (%)
) 9
36.0%
( 9
36.0%
, 4
16.0%
3
 
12.0%
Distinct19
Distinct (%)86.4%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-03-23T14:48:15.657429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length26
Mean length23.090909
Min length18

Characters and Unicode

Total characters508
Distinct characters67
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

Unique16 ?
Unique (%)72.7%

Sample

1st row전북특별자치도 정읍시 고부면 만수길 52
2nd row전북특별자치도 정읍시 고부면 만수길 53
3rd row전북특별자치도 정읍시 감곡면 금평로 26-63
4th row전북특별자치도 정읍시 신태인읍 원백산1길 85
5th row전북특별자치도 정읍시 상신경1길 98
ValueCountFrequency (%)
전북특별자치도 22
21.6%
정읍시 22
21.6%
수성1로 4
 
3.9%
벚꽃로 3
 
2.9%
고부면 3
 
2.9%
만수길 3
 
2.9%
신태인읍 3
 
2.9%
494 2
 
2.0%
26-63 2
 
2.0%
금평로 2
 
2.0%
Other values (32) 36
35.3%
2024-03-23T14:48:16.183259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
80
 
15.7%
25
 
4.9%
25
 
4.9%
22
 
4.3%
22
 
4.3%
22
 
4.3%
22
 
4.3%
22
 
4.3%
22
 
4.3%
22
 
4.3%
Other values (57) 224
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 336
66.1%
Space Separator 80
 
15.7%
Decimal Number 79
 
15.6%
Dash Punctuation 6
 
1.2%
Other Punctuation 5
 
1.0%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
25
 
7.4%
25
 
7.4%
22
 
6.5%
22
 
6.5%
22
 
6.5%
22
 
6.5%
22
 
6.5%
22
 
6.5%
22
 
6.5%
22
 
6.5%
Other values (41) 110
32.7%
Decimal Number
ValueCountFrequency (%)
1 17
21.5%
2 12
15.2%
4 10
12.7%
3 10
12.7%
5 10
12.7%
6 6
 
7.6%
8 5
 
6.3%
9 4
 
5.1%
0 3
 
3.8%
7 2
 
2.5%
Other Punctuation
ValueCountFrequency (%)
, 4
80.0%
/ 1
 
20.0%
Space Separator
ValueCountFrequency (%)
80
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 336
66.1%
Common 172
33.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
25
 
7.4%
25
 
7.4%
22
 
6.5%
22
 
6.5%
22
 
6.5%
22
 
6.5%
22
 
6.5%
22
 
6.5%
22
 
6.5%
22
 
6.5%
Other values (41) 110
32.7%
Common
ValueCountFrequency (%)
80
46.5%
1 17
 
9.9%
2 12
 
7.0%
4 10
 
5.8%
3 10
 
5.8%
5 10
 
5.8%
6 6
 
3.5%
- 6
 
3.5%
8 5
 
2.9%
9 4
 
2.3%
Other values (6) 12
 
7.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 336
66.1%
ASCII 172
33.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
80
46.5%
1 17
 
9.9%
2 12
 
7.0%
4 10
 
5.8%
3 10
 
5.8%
5 10
 
5.8%
6 6
 
3.5%
- 6
 
3.5%
8 5
 
2.9%
9 4
 
2.3%
Other values (6) 12
 
7.0%
Hangul
ValueCountFrequency (%)
25
 
7.4%
25
 
7.4%
22
 
6.5%
22
 
6.5%
22
 
6.5%
22
 
6.5%
22
 
6.5%
22
 
6.5%
22
 
6.5%
22
 
6.5%
Other values (41) 110
32.7%
Distinct17
Distinct (%)77.3%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-03-23T14:48:16.450817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length26
Mean length23.181818
Min length18

Characters and Unicode

Total characters510
Distinct characters55
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique13 ?
Unique (%)59.1%

Sample

1st row전북특별자치도 정읍시 고부면 덕안리 9-17
2nd row전북특별자치도 정읍시 고부면 덕안리 9-17
3rd row전북특별자치도 정읍시 감곡면 통석리 79
4th row전북특별자치도 정읍시 신태인읍 백산리 663-2
5th row전북특별자치도 정읍시 상동 927
ValueCountFrequency (%)
전북특별자치도 22
22.0%
정읍시 22
22.0%
수성동 7
 
7.0%
상동 5
 
5.0%
신태인읍 3
 
3.0%
9-17 3
 
3.0%
덕안리 3
 
3.0%
고부면 3
 
3.0%
965-1 2
 
2.0%
감곡면 2
 
2.0%
Other values (24) 28
28.0%
2024-03-23T14:48:16.983854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
80
 
15.7%
25
 
4.9%
22
 
4.3%
22
 
4.3%
22
 
4.3%
22
 
4.3%
22
 
4.3%
22
 
4.3%
22
 
4.3%
22
 
4.3%
Other values (45) 229
44.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 316
62.0%
Decimal Number 94
 
18.4%
Space Separator 80
 
15.7%
Dash Punctuation 17
 
3.3%
Other Punctuation 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
25
 
7.9%
22
 
7.0%
22
 
7.0%
22
 
7.0%
22
 
7.0%
22
 
7.0%
22
 
7.0%
22
 
7.0%
22
 
7.0%
22
 
7.0%
Other values (31) 93
29.4%
Decimal Number
ValueCountFrequency (%)
1 20
21.3%
9 13
13.8%
6 12
12.8%
2 11
11.7%
3 9
9.6%
7 8
 
8.5%
4 6
 
6.4%
5 6
 
6.4%
8 5
 
5.3%
0 4
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
/ 1
33.3%
Space Separator
ValueCountFrequency (%)
80
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 17
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 316
62.0%
Common 194
38.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
25
 
7.9%
22
 
7.0%
22
 
7.0%
22
 
7.0%
22
 
7.0%
22
 
7.0%
22
 
7.0%
22
 
7.0%
22
 
7.0%
22
 
7.0%
Other values (31) 93
29.4%
Common
ValueCountFrequency (%)
80
41.2%
1 20
 
10.3%
- 17
 
8.8%
9 13
 
6.7%
6 12
 
6.2%
2 11
 
5.7%
3 9
 
4.6%
7 8
 
4.1%
4 6
 
3.1%
5 6
 
3.1%
Other values (4) 12
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 316
62.0%
ASCII 194
38.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
80
41.2%
1 20
 
10.3%
- 17
 
8.8%
9 13
 
6.7%
6 12
 
6.2%
2 11
 
5.7%
3 9
 
4.6%
7 8
 
4.1%
4 6
 
3.1%
5 6
 
3.1%
Other values (4) 12
 
6.2%
Hangul
ValueCountFrequency (%)
25
 
7.9%
22
 
7.0%
22
 
7.0%
22
 
7.0%
22
 
7.0%
22
 
7.0%
22
 
7.0%
22
 
7.0%
22
 
7.0%
22
 
7.0%
Other values (31) 93
29.4%
Distinct20
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size308.0 B
2024-03-23T14:48:17.272845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters264
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

Unique18 ?
Unique (%)81.8%

Sample

1st row063-536-1451
2nd row063-536-1451
3rd row063-545-4740
4th row063-571-1186
5th row063-536-9311
ValueCountFrequency (%)
063-536-1451 2
 
9.1%
063-539-6672 2
 
9.1%
063-532-5633 1
 
4.5%
063-533-0388 1
 
4.5%
063-535-2558 1
 
4.5%
063-543-4743 1
 
4.5%
063-536-1444 1
 
4.5%
063-571-8875 1
 
4.5%
063-536-9316 1
 
4.5%
063-537-6560 1
 
4.5%
Other values (10) 10
45.5%
2024-03-23T14:48:17.662611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 48
18.2%
- 44
16.7%
6 39
14.8%
5 34
12.9%
0 33
12.5%
1 17
 
6.4%
4 11
 
4.2%
7 11
 
4.2%
2 11
 
4.2%
9 9
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 220
83.3%
Dash Punctuation 44
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 48
21.8%
6 39
17.7%
5 34
15.5%
0 33
15.0%
1 17
 
7.7%
4 11
 
5.0%
7 11
 
5.0%
2 11
 
5.0%
9 9
 
4.1%
8 7
 
3.2%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 264
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 48
18.2%
- 44
16.7%
6 39
14.8%
5 34
12.9%
0 33
12.5%
1 17
 
6.4%
4 11
 
4.2%
7 11
 
4.2%
2 11
 
4.2%
9 9
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 264
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 48
18.2%
- 44
16.7%
6 39
14.8%
5 34
12.9%
0 33
12.5%
1 17
 
6.4%
4 11
 
4.2%
7 11
 
4.2%
2 11
 
4.2%
9 9
 
3.4%
Distinct18
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2000-04-17 00:00:00
Maximum2017-06-23 00:00:00
2024-03-23T14:48:17.948832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:48:18.127501image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2024-01-29 00:00:00
Maximum2024-01-29 00:00:00
2024-03-23T14:48:18.651839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T14:48:18.797584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2024-03-23T14:48:18.896646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설유형시설명소재지도로명주소소재지지번주소전화번호인가일
시설유형1.0001.0000.8530.8471.0000.785
시설명1.0001.0001.0001.0001.0001.000
소재지도로명주소0.8531.0001.0001.0000.9820.498
소재지지번주소0.8471.0001.0001.0001.0000.000
전화번호1.0001.0000.9821.0001.0000.793
인가일0.7851.0000.4980.0000.7931.000

Missing values

2024-03-23T14:48:13.839163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T14:48:14.032053image/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

시설유형시설명소재지도로명주소소재지지번주소전화번호인가일데이터기준일자
0생활시설(법인)자애원(지적,자폐)전북특별자치도 정읍시 고부면 만수길 52전북특별자치도 정읍시 고부면 덕안리 9-17063-536-14512000-04-172024-01-29
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3생활시설(법인)정읍천사마을(지적장애)전북특별자치도 정읍시 신태인읍 원백산1길 85전북특별자치도 정읍시 신태인읍 백산리 663-2063-571-11862003-10-152024-01-29
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6생활시설(개인)화평의 집(지적,자폐)전북특별자치도 정읍시 모촌길 73전북특별자치도 정읍시 하모동 398063-531-59792011-01-312024-01-29
7생활시설(공동생활가정)자애해피홈(자애복지재단)전북특별자치도 정읍시 충정로 531-3(공평동, 목련아파트) 105/601전북특별자치도 정읍시 공평동 111-38 목련아파트 105/601063-927-63002015-01-012024-01-29
8지역사회재활시설곰두리스포츠센터전북특별자치도 정읍시 수성1로 64-12전북특별자치도 정읍시 수성동 966-3063-539-55162015-04-242024-01-29
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시설유형시설명소재지도로명주소소재지지번주소전화번호인가일데이터기준일자
12지역사회재활시설푸른나래주간보호센터전북특별자치도 정읍시 수성1로 51전북특별자치도 정읍시 수성동 963-3063-532-22202017-06-232024-01-29
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15기타샘골야학교실전북특별자치도 정읍시 충정로 273 대율빌딩 3층전북특별자치도 정읍시 수성동 448-54063-536-93162010-07-242024-01-29
16기타북부장애인재활센터전북특별자치도 정읍시 신태인읍 신태인중앙로 43전북특별자치도 정읍시 신태인읍 신태인리 214-11063-571-88752011-10-052024-01-29
17직업재활자애자립장전북특별자치도 정읍시 고부면 만수길 52전북특별자치도 정읍시 고부면 덕안리 9-17063-536-14442003-02-202024-01-29
18직업재활만복보호작업장전북특별자치도 정읍시 감곡면 금평로 26-63전북특별자치도 정읍시 감곡면 통석리 79063-543-47432010-10-192024-01-29
19장애인활동지원지체장애인협회전북특별자치도 정읍시 수성5로 41-11전북특별자치도 정읍시 수성동 1013-7063-535-25582011-10-052024-01-29
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