Overview

Dataset statistics

Number of variables13
Number of observations88
Missing cells62
Missing cells (%)5.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.1 KiB
Average record size in memory105.5 B

Variable types

Categorical3
Text8
Unsupported2

Alerts

시군 is highly overall correlated with 사회서비스분야 and 1 other fieldsHigh correlation
사회서비스분야 is highly overall correlated with 시군 and 1 other fieldsHigh correlation
주된목적 is highly overall correlated with 시군 and 1 other fieldsHigh correlation
인증번호 has 2 (2.3%) missing valuesMissing
홈페이지주소 has 60 (68.2%) missing valuesMissing
기관명 has unique valuesUnique
대표자명 has unique valuesUnique
연락처 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
소재지지번주소 has unique valuesUnique
인증일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported
데이터기준일자 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-10 15:14:08.958476
Analysis finished2023-12-10 15:14:11.345959
Duration2.39 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시군
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)13.6%
Missing0
Missing (%)0.0%
Memory size836.0 B
전주시
34 
익산시
10 
순창군
8 
정읍시
7 
남원시
6 
Other values (7)
23 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique1 ?
Unique (%)1.1%

Sample

1st row전주시
2nd row전주시
3rd row전주시
4th row전주시
5th row전주시

Common Values

ValueCountFrequency (%)
전주시 34
38.6%
익산시 10
 
11.4%
순창군 8
 
9.1%
정읍시 7
 
8.0%
남원시 6
 
6.8%
진안군 5
 
5.7%
고창군 5
 
5.7%
완주군 4
 
4.5%
부안군 4
 
4.5%
장수군 2
 
2.3%
Other values (2) 3
 
3.4%

Length

2023-12-11T00:14:11.458480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
전주시 34
38.6%
익산시 10
 
11.4%
순창군 8
 
9.1%
정읍시 7
 
8.0%
남원시 6
 
6.8%
진안군 5
 
5.7%
고창군 5
 
5.7%
완주군 4
 
4.5%
부안군 4
 
4.5%
장수군 2
 
2.3%
Other values (2) 3
 
3.4%

기관명
Text

UNIQUE 

Distinct88
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size836.0 B
2023-12-11T00:14:11.758916image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length14
Mean length8.5454545
Min length2

Characters and Unicode

Total characters752
Distinct characters211
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique88 ?
Unique (%)100.0%

Sample

1st row㈜사람과환경
2nd row이음
3rd row우리노인복지센터 행복나눔
4th row전주사회서비스센터
5th row공동체나눔환경
ValueCountFrequency (%)
주식회사 4
 
3.6%
농업회사법인 3
 
2.7%
유한회사 2
 
1.8%
㈜사람과환경 1
 
0.9%
건강한밥상 1
 
0.9%
㈜다솜건축인테리어 1
 
0.9%
농촌살림연구소 1
 
0.9%
풍덩 1
 
0.9%
㈜공정여행 1
 
0.9%
유)마이크린 1
 
0.9%
Other values (94) 94
85.5%
2023-12-11T00:14:12.374305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 37
 
4.9%
( 37
 
4.9%
사 29
 
3.9%
유 28
 
3.7%
22
 
2.9%
합 18
 
2.4%
인 18
 
2.4%
조 16
 
2.1%
농 16
 
2.1%
법 15
 
2.0%
Other values (201) 516
68.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 643
85.5%
Close Punctuation 37
 
4.9%
Open Punctuation 37
 
4.9%
Space Separator 22
 
2.9%
Other Symbol 12
 
1.6%
Decimal Number 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 29
 
4.5%
유 28
 
4.4%
합 18
 
2.8%
인 18
 
2.8%
조 16
 
2.5%
농 16
 
2.5%
법 15
 
2.3%
회 14
 
2.2%
영 13
 
2.0%
주 13
 
2.0%
Other values (196) 463
72.0%
Close Punctuation
ValueCountFrequency (%)
) 37
100.0%
Open Punctuation
ValueCountFrequency (%)
( 37
100.0%
Space Separator
ValueCountFrequency (%)
22
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 12
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 655
87.1%
Common 97
 
12.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 29
 
4.4%
유 28
 
4.3%
합 18
 
2.7%
인 18
 
2.7%
조 16
 
2.4%
농 16
 
2.4%
법 15
 
2.3%
회 14
 
2.1%
영 13
 
2.0%
주 13
 
2.0%
Other values (197) 475
72.5%
Common
ValueCountFrequency (%)
) 37
38.1%
( 37
38.1%
22
22.7%
2 1
 
1.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 643
85.5%
ASCII 97
 
12.9%
None 12
 
1.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 37
38.1%
( 37
38.1%
22
22.7%
2 1
 
1.0%
Hangul
ValueCountFrequency (%)
사 29
 
4.5%
유 28
 
4.4%
합 18
 
2.8%
인 18
 
2.8%
조 16
 
2.5%
농 16
 
2.5%
법 15
 
2.3%
회 14
 
2.2%
영 13
 
2.0%
주 13
 
2.0%
Other values (196) 463
72.0%
None
ValueCountFrequency (%)
㈜ 12
100.0%

사회서비스분야
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)29.5%
Missing0
Missing (%)0.0%
Memory size836.0 B
환경
11 
문화예술
11 
사업시설관리
8 
교육
6 
일자리제공
6 
Other values (21)
46 

Length

Max length14
Median length11
Mean length4.4659091
Min length2

Unique

Unique8 ?
Unique (%)9.1%

Sample

1st row환경
2nd row문화예술
3rd row가사간병
4th row가사간병
5th row환경

Common Values

ValueCountFrequency (%)
환경 11
12.5%
문화예술 11
12.5%
사업시설관리 8
 
9.1%
교육 6
 
6.8%
일자리제공 6
 
6.8%
일자리제공형 5
 
5.7%
농식품 5
 
5.7%
제조 4
 
4.5%
해당없음 3
 
3.4%
가사간병 3
 
3.4%
Other values (16) 26
29.5%

Length

2023-12-11T00:14:12.629295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
환경 11
 
11.0%
문화예술 11
 
11.0%
사업시설관리 10
 
10.0%
교육 6
 
6.0%
일자리제공 6
 
6.0%
일자리제공형 5
 
5.0%
농식품 5
 
5.0%
청소 5
 
5.0%
제조 4
 
4.0%
등 4
 
4.0%
Other values (20) 33
33.0%

주된목적
Categorical

HIGH CORRELATION 

Distinct17
Distinct (%)19.3%
Missing0
Missing (%)0.0%
Memory size836.0 B
일자리제공형
31 
일자리제공
23 
혼합형
10 
기타형
6 
취약계층 일자리제공
 
3
Other values (12)
15 

Length

Max length19
Median length13
Mean length5.6818182
Min length3

Unique

Unique9 ?
Unique (%)10.2%

Sample

1st row일자리제공
2nd row기타형
3rd row사회서비스제공
4th row사회서비스제공
5th row일자리제공

Common Values

ValueCountFrequency (%)
일자리제공형 31
35.2%
일자리제공 23
26.1%
혼합형 10
 
11.4%
기타형 6
 
6.8%
취약계층 일자리제공 3
 
3.4%
사회서비스 제공형 2
 
2.3%
사회서비스제공 2
 
2.3%
<NA> 2
 
2.3%
사회복지,기타 1
 
1.1%
저소득층 방과후 돌봄학교 운영 등 1
 
1.1%
Other values (7) 7
 
8.0%

Length

2023-12-11T00:14:12.933998image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
일자리제공형 31
30.4%
일자리제공 26
25.5%
혼합형 10
 
9.8%
기타형 6
 
5.9%
취약계층 4
 
3.9%
사회서비스 3
 
2.9%
제공형 2
 
2.0%
사회서비스제공 2
 
2.0%
na 2
 
2.0%
서비스 1
 
1.0%
Other values (15) 15
14.7%

사업내용
Text

Distinct87
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size836.0 B
2023-12-11T00:14:13.290460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length89
Median length22
Mean length13.602273
Min length4

Characters and Unicode

Total characters1197
Distinct characters228
Distinct categories6 ?
Distinct scripts4 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique86 ?
Unique (%)97.7%

Sample

1st row전주시 재활용품 재활용 선별센터 운영
2nd row문화를 통한 지역사회통한 프로젝트
3rd row실비간병인 파견사업
4th row간병사업
5th row의류 재활용
ValueCountFrequency (%)
및 18
 
7.1%
판매 11
 
4.4%
생산 9
 
3.6%
등 8
 
3.2%
제조 5
 
2.0%
유통 5
 
2.0%
교육 4
 
1.6%
재활용 4
 
1.6%
가공 3
 
1.2%
문화관광공연 3
 
1.2%
Other values (168) 182
72.2%
2023-12-11T00:14:13.898135image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
165
 
13.8%
, 50
 
4.2%
공 23
 
1.9%
산 23
 
1.9%
매 22
 
1.8%
업 21
 
1.8%
및 20
 
1.7%
판 19
 
1.6%
생 19
 
1.6%
소 18
 
1.5%
Other values (218) 817
68.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 951
79.4%
Space Separator 165
 
13.8%
Other Punctuation 54
 
4.5%
Open Punctuation 12
 
1.0%
Close Punctuation 12
 
1.0%
Uppercase Letter 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 23
 
2.4%
산 23
 
2.4%
매 22
 
2.3%
업 21
 
2.2%
및 20
 
2.1%
판 19
 
2.0%
생 19
 
2.0%
소 18
 
1.9%
사 18
 
1.9%
문 18
 
1.9%
Other values (207) 750
78.9%
Other Punctuation
ValueCountFrequency (%)
, 50
92.6%
· 1
 
1.9%
. 1
 
1.9%
/ 1
 
1.9%
? 1
 
1.9%
Uppercase Letter
ValueCountFrequency (%)
D 1
33.3%
R 1
33.3%
H 1
33.3%
Space Separator
ValueCountFrequency (%)
165
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 949
79.3%
Common 243
 
20.3%
Latin 3
 
0.3%
Han 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 23
 
2.4%
산 23
 
2.4%
매 22
 
2.3%
업 21
 
2.2%
및 20
 
2.1%
판 19
 
2.0%
생 19
 
2.0%
소 18
 
1.9%
사 18
 
1.9%
문 18
 
1.9%
Other values (205) 748
78.8%
Common
ValueCountFrequency (%)
165
67.9%
, 50
 
20.6%
( 12
 
4.9%
) 12
 
4.9%
· 1
 
0.4%
. 1
 
0.4%
/ 1
 
0.4%
? 1
 
0.4%
Latin
ValueCountFrequency (%)
D 1
33.3%
R 1
33.3%
H 1
33.3%
Han
ValueCountFrequency (%)
行 1
50.0%
同 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 949
79.3%
ASCII 245
 
20.5%
CJK 2
 
0.2%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
165
67.3%
, 50
 
20.4%
( 12
 
4.9%
) 12
 
4.9%
. 1
 
0.4%
D 1
 
0.4%
R 1
 
0.4%
H 1
 
0.4%
/ 1
 
0.4%
? 1
 
0.4%
Hangul
ValueCountFrequency (%)
공 23
 
2.4%
산 23
 
2.4%
매 22
 
2.3%
업 21
 
2.2%
및 20
 
2.1%
판 19
 
2.0%
생 19
 
2.0%
소 18
 
1.9%
사 18
 
1.9%
문 18
 
1.9%
Other values (205) 748
78.8%
None
ValueCountFrequency (%)
· 1
100.0%
CJK
ValueCountFrequency (%)
行 1
50.0%
同 1
50.0%

인증일자
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size836.0 B

인증번호
Text

MISSING 

Distinct86
Distinct (%)100.0%
Missing2
Missing (%)2.3%
Memory size836.0 B
2023-12-11T00:14:14.383749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10.5
Mean length9.3953488
Min length7

Characters and Unicode

Total characters808
Distinct characters16
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

Unique86 ?
Unique (%)100.0%

Sample

1st row제2007-53호
2nd row제2008-25호
3rd row제2008-85호
4th row제2008-86호
5th row제2009-32호
ValueCountFrequency (%)
제2013-142호 1
 
1.1%
제2011-53호 1
 
1.1%
제2013-205호 1
 
1.1%
전북2015-10호 1
 
1.1%
제2013-097호 1
 
1.1%
제2008-043호 1
 
1.1%
제2009-23호 1
 
1.1%
제2015-9호 1
 
1.1%
제2015-43호 1
 
1.1%
제2012-83호 1
 
1.1%
Other values (77) 77
88.5%
2023-12-11T00:14:15.002238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 127
15.7%
0 127
15.7%
1 126
15.6%
- 86
10.6%
제 80
9.9%
호 74
9.2%
3 37
 
4.6%
5 36
 
4.5%
4 33
 
4.1%
8 27
 
3.3%
Other values (6) 55
6.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 556
68.8%
Other Letter 164
 
20.3%
Dash Punctuation 86
 
10.6%
Space Separator 2
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 127
22.8%
0 127
22.8%
1 126
22.7%
3 37
 
6.7%
5 36
 
6.5%
4 33
 
5.9%
8 27
 
4.9%
9 17
 
3.1%
6 13
 
2.3%
7 13
 
2.3%
Other Letter
ValueCountFrequency (%)
제 80
48.8%
호 74
45.1%
전 5
 
3.0%
북 5
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 86
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 644
79.7%
Hangul 164
 
20.3%

Most frequent character per script

Common
ValueCountFrequency (%)
2 127
19.7%
0 127
19.7%
1 126
19.6%
- 86
13.4%
3 37
 
5.7%
5 36
 
5.6%
4 33
 
5.1%
8 27
 
4.2%
9 17
 
2.6%
6 13
 
2.0%
Other values (2) 15
 
2.3%
Hangul
ValueCountFrequency (%)
제 80
48.8%
호 74
45.1%
전 5
 
3.0%
북 5
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 644
79.7%
Hangul 164
 
20.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 127
19.7%
0 127
19.7%
1 126
19.6%
- 86
13.4%
3 37
 
5.7%
5 36
 
5.6%
4 33
 
5.1%
8 27
 
4.2%
9 17
 
2.6%
6 13
 
2.0%
Other values (2) 15
 
2.3%
Hangul
ValueCountFrequency (%)
제 80
48.8%
호 74
45.1%
전 5
 
3.0%
북 5
 
3.0%

대표자명
Text

UNIQUE 

Distinct88
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size836.0 B
2023-12-11T00:14:15.462475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9886364
Min length2

Characters and Unicode

Total characters263
Distinct characters105
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique88 ?
Unique (%)100.0%

Sample

1st row강재원
2nd row김종영
3rd row박현정
4th row노승해
5th row장영주
ValueCountFrequency (%)
강재원 1
 
1.1%
김종영 1
 
1.1%
박종석 1
 
1.1%
최우영 1
 
1.1%
김치훈 1
 
1.1%
이문수 1
 
1.1%
최대희 1
 
1.1%
박용남 1
 
1.1%
정기택 1
 
1.1%
서정훈 1
 
1.1%
Other values (78) 78
88.6%
2023-12-11T00:14:15.992581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 13
 
4.9%
정 10
 
3.8%
이 10
 
3.8%
석 9
 
3.4%
수 8
 
3.0%
최 7
 
2.7%
박 7
 
2.7%
성 6
 
2.3%
종 5
 
1.9%
조 5
 
1.9%
Other values (95) 183
69.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 263
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 13
 
4.9%
정 10
 
3.8%
이 10
 
3.8%
석 9
 
3.4%
수 8
 
3.0%
최 7
 
2.7%
박 7
 
2.7%
성 6
 
2.3%
종 5
 
1.9%
조 5
 
1.9%
Other values (95) 183
69.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 263
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 13
 
4.9%
정 10
 
3.8%
이 10
 
3.8%
석 9
 
3.4%
수 8
 
3.0%
최 7
 
2.7%
박 7
 
2.7%
성 6
 
2.3%
종 5
 
1.9%
조 5
 
1.9%
Other values (95) 183
69.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 263
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 13
 
4.9%
정 10
 
3.8%
이 10
 
3.8%
석 9
 
3.4%
수 8
 
3.0%
최 7
 
2.7%
박 7
 
2.7%
성 6
 
2.3%
종 5
 
1.9%
조 5
 
1.9%
Other values (95) 183
69.6%

연락처
Text

UNIQUE 

Distinct88
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size836.0 B
2023-12-11T00:14:16.280410image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.931818
Min length8

Characters and Unicode

Total characters1050
Distinct characters13
Distinct categories4 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique88 ?
Unique (%)100.0%

Sample

1st row063-229-5212
2nd row063-287-6301
3rd row063-255-7179
4th row063-282-9770
5th row063-211-8898
ValueCountFrequency (%)
063-229-5212 1
 
1.1%
063-532-2964 1
 
1.1%
063-534-3336 1
 
1.1%
063-433-3365 1
 
1.1%
063-432-9005 1
 
1.1%
063-433-7017 1
 
1.1%
063-432-9939 1
 
1.1%
063-261-0030 1
 
1.1%
063-255-3080 1
 
1.1%
063-714-4989 1
 
1.1%
Other values (79) 79
88.8%
2023-12-11T00:14:16.779283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 172
16.4%
3 163
15.5%
6 145
13.8%
0 139
13.2%
2 103
9.8%
5 71
6.8%
1 66
 
6.3%
4 58
 
5.5%
7 48
 
4.6%
8 46
 
4.4%
Other values (3) 39
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 874
83.2%
Dash Punctuation 172
 
16.4%
Close Punctuation 2
 
0.2%
Space Separator 2
 
0.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 163
18.6%
6 145
16.6%
0 139
15.9%
2 103
11.8%
5 71
8.1%
1 66
7.6%
4 58
 
6.6%
7 48
 
5.5%
8 46
 
5.3%
9 35
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 172
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1050
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 172
16.4%
3 163
15.5%
6 145
13.8%
0 139
13.2%
2 103
9.8%
5 71
6.8%
1 66
 
6.3%
4 58
 
5.5%
7 48
 
4.6%
8 46
 
4.4%
Other values (3) 39
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1050
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 172
16.4%
3 163
15.5%
6 145
13.8%
0 139
13.2%
2 103
9.8%
5 71
6.8%
1 66
 
6.3%
4 58
 
5.5%
7 48
 
4.6%
8 46
 
4.4%
Other values (3) 39
 
3.7%

소재지도로명주소
Text

UNIQUE 

Distinct88
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size836.0 B
2023-12-11T00:14:17.235433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length30
Mean length19.170455
Min length10

Characters and Unicode

Total characters1687
Distinct characters161
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique88 ?
Unique (%)100.0%

Sample

1st row전라북도 전주시 완산구 백제대로 249
2nd row전라북도 전주시 완산구 충경로 106
3rd row전라북도 전주시 덕진구 어은로 138
4th row전라북도 전주시 완산구 현무3길 98
5th row전라북도 전주시 덕진구 고내천변로 388-27
ValueCountFrequency (%)
전라북도 49
 
12.6%
전주시 34
 
8.8%
완산구 23
 
5.9%
덕진구 11
 
2.8%
익산시 10
 
2.6%
순창군 8
 
2.1%
정읍시 7
 
1.8%
남원시 6
 
1.5%
고창군 5
 
1.3%
진안군 5
 
1.3%
Other values (200) 230
59.3%
2023-12-11T00:14:18.013636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
306
 
18.1%
전 88
 
5.2%
시 59
 
3.5%
북 54
 
3.2%
1 53
 
3.1%
로 53
 
3.1%
2 51
 
3.0%
도 50
 
3.0%
라 49
 
2.9%
주 44
 
2.6%
Other values (151) 880
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1029
61.0%
Space Separator 306
 
18.1%
Decimal Number 301
 
17.8%
Dash Punctuation 31
 
1.8%
Close Punctuation 10
 
0.6%
Open Punctuation 10
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 88
 
8.6%
시 59
 
5.7%
북 54
 
5.2%
로 53
 
5.2%
도 50
 
4.9%
라 49
 
4.8%
주 44
 
4.3%
산 42
 
4.1%
구 41
 
4.0%
길 37
 
3.6%
Other values (137) 512
49.8%
Decimal Number
ValueCountFrequency (%)
1 53
17.6%
2 51
16.9%
5 36
12.0%
3 33
11.0%
4 30
10.0%
8 24
8.0%
7 21
 
7.0%
0 20
 
6.6%
9 17
 
5.6%
6 16
 
5.3%
Space Separator
ValueCountFrequency (%)
306
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1029
61.0%
Common 658
39.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 88
 
8.6%
시 59
 
5.7%
북 54
 
5.2%
로 53
 
5.2%
도 50
 
4.9%
라 49
 
4.8%
주 44
 
4.3%
산 42
 
4.1%
구 41
 
4.0%
길 37
 
3.6%
Other values (137) 512
49.8%
Common
ValueCountFrequency (%)
306
46.5%
1 53
 
8.1%
2 51
 
7.8%
5 36
 
5.5%
3 33
 
5.0%
- 31
 
4.7%
4 30
 
4.6%
8 24
 
3.6%
7 21
 
3.2%
0 20
 
3.0%
Other values (4) 53
 
8.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1029
61.0%
ASCII 658
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
306
46.5%
1 53
 
8.1%
2 51
 
7.8%
5 36
 
5.5%
3 33
 
5.0%
- 31
 
4.7%
4 30
 
4.6%
8 24
 
3.6%
7 21
 
3.2%
0 20
 
3.0%
Other values (4) 53
 
8.1%
Hangul
ValueCountFrequency (%)
전 88
 
8.6%
시 59
 
5.7%
북 54
 
5.2%
로 53
 
5.2%
도 50
 
4.9%
라 49
 
4.8%
주 44
 
4.3%
산 42
 
4.1%
구 41
 
4.0%
길 37
 
3.6%
Other values (137) 512
49.8%

소재지지번주소
Text

UNIQUE 

Distinct88
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size836.0 B
2023-12-11T00:14:18.650592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length26
Mean length19.590909
Min length11

Characters and Unicode

Total characters1724
Distinct characters123
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique88 ?
Unique (%)100.0%

Sample

1st row전라북도 전주시 완산구 중화산동2가 629-12 4층
2nd row전라북도 전주시 완산구 풍남동3가 33-4
3rd row전라북도 전주시 덕진구 진북동 1124-25
4th row전라북도 전주시 완산구 서노송동 564-4
5th row전라북도 전주시 덕진구전미동2가 115-1
ValueCountFrequency (%)
전라북도 43
 
10.8%
전주시 34
 
8.5%
완산구 24
 
6.0%
익산시 10
 
2.5%
덕진구 9
 
2.2%
순창군 8
 
2.0%
정읍시 7
 
1.8%
남원시 6
 
1.5%
전북 6
 
1.5%
진안군 5
 
1.2%
Other values (211) 248
62.0%
2023-12-11T00:14:19.636271image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
314
 
18.2%
1 89
 
5.2%
전 85
 
4.9%
- 61
 
3.5%
시 57
 
3.3%
동 55
 
3.2%
4 52
 
3.0%
북 52
 
3.0%
2 47
 
2.7%
도 46
 
2.7%
Other values (113) 866
50.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 982
57.0%
Decimal Number 363
 
21.1%
Space Separator 314
 
18.2%
Dash Punctuation 61
 
3.5%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 85
 
8.7%
시 57
 
5.8%
동 55
 
5.6%
북 52
 
5.3%
도 46
 
4.7%
라 43
 
4.4%
리 42
 
4.3%
산 42
 
4.3%
주 41
 
4.2%
구 39
 
4.0%
Other values (99) 480
48.9%
Decimal Number
ValueCountFrequency (%)
1 89
24.5%
4 52
14.3%
2 47
12.9%
3 39
10.7%
5 28
 
7.7%
9 24
 
6.6%
7 22
 
6.1%
0 22
 
6.1%
6 21
 
5.8%
8 19
 
5.2%
Space Separator
ValueCountFrequency (%)
314
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 61
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 982
57.0%
Common 742
43.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 85
 
8.7%
시 57
 
5.8%
동 55
 
5.6%
북 52
 
5.3%
도 46
 
4.7%
라 43
 
4.4%
리 42
 
4.3%
산 42
 
4.3%
주 41
 
4.2%
구 39
 
4.0%
Other values (99) 480
48.9%
Common
ValueCountFrequency (%)
314
42.3%
1 89
 
12.0%
- 61
 
8.2%
4 52
 
7.0%
2 47
 
6.3%
3 39
 
5.3%
5 28
 
3.8%
9 24
 
3.2%
7 22
 
3.0%
0 22
 
3.0%
Other values (4) 44
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 982
57.0%
ASCII 742
43.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
314
42.3%
1 89
 
12.0%
- 61
 
8.2%
4 52
 
7.0%
2 47
 
6.3%
3 39
 
5.3%
5 28
 
3.8%
9 24
 
3.2%
7 22
 
3.0%
0 22
 
3.0%
Other values (4) 44
 
5.9%
Hangul
ValueCountFrequency (%)
전 85
 
8.7%
시 57
 
5.8%
동 55
 
5.6%
북 52
 
5.3%
도 46
 
4.7%
라 43
 
4.4%
리 42
 
4.3%
산 42
 
4.3%
주 41
 
4.2%
구 39
 
4.0%
Other values (99) 480
48.9%

홈페이지주소
Text

MISSING 

Distinct27
Distinct (%)96.4%
Missing60
Missing (%)68.2%
Memory size836.0 B
2023-12-11T00:14:20.013458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length22
Mean length19.392857
Min length1

Characters and Unicode

Total characters543
Distinct characters46
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)92.9%

Sample

1st rowwww.s-somang.or.kr
2nd rowwww.kohwa.or.kr
3rd rowwww.dongplus.com
4th rowhttp://식품포장지가공.kr
5th rowwww.mahanc.co.kr
ValueCountFrequency (%)
무 2
 
7.1%
www.jajh.or.kr 1
 
3.6%
www.s-somang.or.kr 1
 
3.6%
http://바다의향기.kr 1
 
3.6%
http://www.bajiragi.com 1
 
3.6%
http://foodreal.co.kr 1
 
3.6%
http://saimdangfood.kr 1
 
3.6%
http://blog.naver.com/artgochang 1
 
3.6%
http://www.foodabout.co.kr 1
 
3.6%
cafe.daum.net/echojangsu 1
 
3.6%
Other values (17) 17
60.7%
2023-12-11T00:14:20.693301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 56
 
10.3%
w 51
 
9.4%
o 45
 
8.3%
a 37
 
6.8%
/ 35
 
6.4%
t 32
 
5.9%
r 30
 
5.5%
h 22
 
4.1%
n 22
 
4.1%
c 21
 
3.9%
Other values (36) 192
35.4%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 415
76.4%
Other Punctuation 104
 
19.2%
Other Letter 14
 
2.6%
Decimal Number 7
 
1.3%
Space Separator 2
 
0.4%
Dash Punctuation 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 51
12.3%
o 45
 
10.8%
a 37
 
8.9%
t 32
 
7.7%
r 30
 
7.2%
h 22
 
5.3%
n 22
 
5.3%
c 21
 
5.1%
m 20
 
4.8%
e 17
 
4.1%
Other values (13) 118
28.4%
Other Letter
ValueCountFrequency (%)
무 2
14.3%
의 1
 
7.1%
다 1
 
7.1%
바 1
 
7.1%
향 1
 
7.1%
기 1
 
7.1%
장 1
 
7.1%
공 1
 
7.1%
가 1
 
7.1%
지 1
 
7.1%
Other values (3) 3
21.4%
Decimal Number
ValueCountFrequency (%)
7 3
42.9%
6 1
 
14.3%
2 1
 
14.3%
1 1
 
14.3%
4 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
. 56
53.8%
/ 35
33.7%
: 13
 
12.5%
Space Separator
ValueCountFrequency (%)
2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 415
76.4%
Common 114
 
21.0%
Hangul 14
 
2.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 51
12.3%
o 45
 
10.8%
a 37
 
8.9%
t 32
 
7.7%
r 30
 
7.2%
h 22
 
5.3%
n 22
 
5.3%
c 21
 
5.1%
m 20
 
4.8%
e 17
 
4.1%
Other values (13) 118
28.4%
Hangul
ValueCountFrequency (%)
무 2
14.3%
의 1
 
7.1%
다 1
 
7.1%
바 1
 
7.1%
향 1
 
7.1%
기 1
 
7.1%
장 1
 
7.1%
공 1
 
7.1%
가 1
 
7.1%
지 1
 
7.1%
Other values (3) 3
21.4%
Common
ValueCountFrequency (%)
. 56
49.1%
/ 35
30.7%
: 13
 
11.4%
7 3
 
2.6%
2
 
1.8%
6 1
 
0.9%
2 1
 
0.9%
1 1
 
0.9%
4 1
 
0.9%
- 1
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 529
97.4%
Hangul 14
 
2.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 56
 
10.6%
w 51
 
9.6%
o 45
 
8.5%
a 37
 
7.0%
/ 35
 
6.6%
t 32
 
6.0%
r 30
 
5.7%
h 22
 
4.2%
n 22
 
4.2%
c 21
 
4.0%
Other values (23) 178
33.6%
Hangul
ValueCountFrequency (%)
무 2
14.3%
의 1
 
7.1%
다 1
 
7.1%
바 1
 
7.1%
향 1
 
7.1%
기 1
 
7.1%
장 1
 
7.1%
공 1
 
7.1%
가 1
 
7.1%
지 1
 
7.1%
Other values (3) 3
21.4%

데이터기준일자
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size836.0 B

Correlations

2023-12-11T00:14:20.882316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군기관명사회서비스분야주된목적사업내용인증번호대표자명연락처소재지도로명주소소재지지번주소홈페이지주소
시군1.0001.0000.9710.8601.0001.0001.0001.0001.0001.0001.000
기관명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
사회서비스분야0.9711.0001.0000.9051.0001.0001.0001.0001.0001.0001.000
주된목적0.8601.0000.9051.0001.0001.0001.0001.0001.0001.0001.000
사업내용1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
인증번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
대표자명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
연락처1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지도로명주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
소재지지번주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
홈페이지주소1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-11T00:14:21.113960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주된목적시군사회서비스분야
주된목적1.0000.5320.506
시군0.5321.0000.733
사회서비스분야0.5060.7331.000
2023-12-11T00:14:21.304566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시군사회서비스분야주된목적
시군1.0000.7330.532
사회서비스분야0.7331.0000.506
주된목적0.5320.5061.000

Missing values

2023-12-11T00:14:10.718132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T00:14:11.029423image/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.
2023-12-11T00:14:11.252521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

시군기관명사회서비스분야주된목적사업내용인증일자인증번호대표자명연락처소재지도로명주소소재지지번주소홈페이지주소데이터기준일자
0전주시㈜사람과환경환경일자리제공전주시 재활용품 재활용 선별센터 운영2008-01-07 00:00:00제2007-53호강재원063-229-5212전라북도 전주시 완산구 백제대로 249전라북도 전주시 완산구 중화산동2가 629-12 4층<NA>2015-09-30 00:00:00
1전주시이음문화예술기타형문화를 통한 지역사회통한 프로젝트2008-04-17 00:00:00제2008-25호김종영063-287-6301전라북도 전주시 완산구 충경로 106전라북도 전주시 완산구 풍남동3가 33-4<NA>2015-09-30 00:00:00
2전주시우리노인복지센터 행복나눔가사간병사회서비스제공실비간병인 파견사업2008-10-23 00:00:00제2008-85호박현정063-255-7179전라북도 전주시 덕진구 어은로 138전라북도 전주시 덕진구 진북동 1124-25<NA>2015-09-30 00:00:00
3전주시전주사회서비스센터가사간병사회서비스제공간병사업2008-10-23 00:00:00제2008-86호노승해063-282-9770전라북도 전주시 완산구 현무3길 98전라북도 전주시 완산구 서노송동 564-4<NA>2015-09-30 00:00:00
4전주시공동체나눔환경환경일자리제공의류 재활용2009-07-22 00:00:00제2009-32호장영주063-211-8898전라북도 전주시 덕진구 고내천변로 388-27전라북도 전주시 덕진구전미동2가 115-1<NA>2015-09-30 00:00:00
5전주시(유)맛디자인농식품일자리제공김치제조2010-01-21 00:00:00제2009-77호한경미063-231-7017전라북도 전주시 완산구 춘향로 5237전라북도 전주시 완산구 대성동 224-1<NA>2015-09-30 00:00:00
6전주시(유)맑은누리환경일자리제공학교,민간등청소?소독사업,2010-06-01 00:00:00제2010-26호김관무063-242-6013전라북도 전주시 완산구 따박골5길 47(중화산동2가 2층)전라북도 전주시 완산구 중화산동 2가 548-1<NA>2015-09-30 00:00:00
7전주시(유)아름다운환경환경일자리제공잡병선별 판매 및 재활용 매장운용2010-07-29 00:00:00제2010-55호육이수063-232-8382전라북도 전주시 완산구 현무1길 31-5전라북도 전주시 완산구 경원동 3가 31-1<NA>2015-09-30 00:00:00
8전주시문화포럼나니레문화예술일자리제공전통문화, 뮤지컬 창작공연2011-11-28 00:00:00제2011-106호김성훈063-231-2553전라북도 전주시 완산구 관선3길 8-4전라북도 전주시 완산구 남노송동 519-64<NA>2015-09-30 00:00:00
9전주시타악연희원 아퀴문화예술기타형문화예술콘텐츠사업2011-12-19 00:00:00제2011-151호박종대070-7558-4023전라북도 전주시 완산구 선너머4길 28전라북도 전주시 완산구 중화산동 1가 219-14<NA>2015-09-30 00:00:00
시군기관명사회서비스분야주된목적사업내용인증일자인증번호대표자명연락처소재지도로명주소소재지지번주소홈페이지주소데이터기준일자
78순창군농업회사법인 유한회사 유기지기산림 보전 및 관리일자리제공형농산물 유통, 가공, 제조2015-05-22 00:00:00제2015-6호심은숙063) 653-7260순창군 쌍치면 청정로 472-25순창군 쌍치면 금성리 127-12<NA>2015-09-30 00:00:00
79고창군해풍영어조합법인일자리제공형일자리제공형농수산물 가공 유통2013-09-09 00:00:00제2013-141호신광석063-564-2590고창군 상하면 구시포해변길 126고창군 상하면 자룡리 497http://www.foodabout.co.kr/2015-09-01 00:00:00
80고창군국악예술단고창일자리제공형일자리제공형문화 예술공연2013-11-08 00:00:00제2013-160호이병열063-564-4999고창군 고창읍 모양성로 11고창군 고창읍 읍내리 188http://blog.naver.com/artgochang2015-09-01 00:00:00
81고창군사임당푸드영농조합법인일자리제공형일자리제공형한과류 및 떡 생산판매2014-09-19 00:00:00제2014-159호조해주063-561-5986고창군 고창읍 태봉로 551고창군 고창읍 덕정리 440http://saimdangfood.kr/2015-09-01 00:00:00
82고창군만선영어조합법인일자리제공형일자리제공형농수산물 가공 및 유통2014-09-19 00:00:00제2014-158호차호식063-563-3223고창군 상하면 진암구시포로 499고창군 상하면 자룡리 433http://foodreal.co.kr/2015-09-01 00:00:00
83고창군신우영어조합법인일자리제공형일자리제공형바지락양식, 생산유통 판매2014-09-19 00:00:00제2014-160호김미경063-561-1472고창군 심원면 선운대로 2203-22고창군 심원면 하전리 958-8http://www.bajiragi.com/2015-09-01 00:00:00
84부안군사단법인 부신정회 바다의 향기일자리제공일자리제공형김가공 판매2011-09-15 00:00:00제2013-207호조상완063-583-0035부안군 부안읍 봉두길 52부안군 부안읍 봉덕리 357-3http://바다의향기.kr2015-08-18 00:00:00
85부안군부안낭주회혼합형사회서비스 제공형노인일자리사업2008-10-23 00:00:00제2008-088장석종063-581-7301부안군 부안읍 석정로 171부안군 부안읍 동중리 111-1<NA>2015-08-18 00:00:00
86부안군한국폴리우드일자리제공일자리제공형합성목재 생산판매2015-03-17 00:00:002015-13은희준063-581-0479부안군 행안면 옥여길 33부안군 행안면 역리 1121-8<NA>2015-08-18 00:00:00
87부안군농업회사법인 바닮 주식회사지역사회공헌형지역사회공헌형판매 및 홍보대행2015-08-17 00:00:00전북2015-25손동석063-781-7301부안군 부안읍 선돌로 50부안군 부안읍 신흥리 153-4http://www.badarm.kr2015-08-18 00:00:00