Overview

Dataset statistics

Number of variables14
Number of observations116
Missing cells153
Missing cells (%)9.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.9 KiB
Average record size in memory114.1 B

Variable types

Text7
Categorical5
Boolean1
Unsupported1

Dataset

Description전라북도_사회적기업_20170912
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=201905

Alerts

인증여부 has constant value ""Constant
데이터기준일자 has constant value ""Constant
자료출처 has constant value ""Constant
소재지지번주소 has 116 (100.0%) missing valuesMissing
홈페이지 has 37 (31.9%) missing valuesMissing
기관명 has unique valuesUnique
인증번호 has unique valuesUnique
대표자명 has unique valuesUnique
소재지지번주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-14 01:53:07.870656
Analysis finished2024-03-14 01:53:08.699689
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

UNIQUE 

Distinct116
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-14T10:53:08.836022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length10.146552
Min length3

Characters and Unicode

Total characters1177
Distinct characters257
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique116 ?
Unique (%)100.0%

Sample

1st row(사)사랑의손길새소망
2nd row(주)사람과환경
3rd row(유)나눔푸드
4th row임실노인복지센터일자리사업단
5th row우리노인복지센터행복나눔
ValueCountFrequency (%)
유한회사 18
 
9.5%
주식회사 16
 
8.4%
사단법인 8
 
4.2%
농업회사법인 6
 
3.2%
유 3
 
1.6%
영농조합법인 3
 
1.6%
주 2
 
1.1%
오늘 1
 
0.5%
아리울수산 1
 
0.5%
협동조합온리 1
 
0.5%
Other values (131) 131
68.9%
2024-03-14T10:53:09.154725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
75
 
6.4%
사 70
 
5.9%
회 52
 
4.4%
유 41
 
3.5%
인 40
 
3.4%
) 32
 
2.7%
( 31
 
2.6%
주 28
 
2.4%
법 28
 
2.4%
농 24
 
2.0%
Other values (247) 756
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1019
86.6%
Space Separator 75
 
6.4%
Close Punctuation 32
 
2.7%
Open Punctuation 31
 
2.6%
Lowercase Letter 10
 
0.8%
Other Symbol 7
 
0.6%
Uppercase Letter 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 70
 
6.9%
회 52
 
5.1%
유 41
 
4.0%
인 40
 
3.9%
주 28
 
2.7%
법 28
 
2.7%
농 24
 
2.4%
한 24
 
2.4%
합 22
 
2.2%
조 20
 
2.0%
Other values (233) 670
65.8%
Lowercase Letter
ValueCountFrequency (%)
e 3
30.0%
t 2
20.0%
n 1
 
10.0%
r 1
 
10.0%
g 1
 
10.0%
a 1
 
10.0%
y 1
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
I 1
33.3%
S 1
33.3%
M 1
33.3%
Space Separator
ValueCountFrequency (%)
75
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 31
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1026
87.2%
Common 138
 
11.7%
Latin 13
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 70
 
6.8%
회 52
 
5.1%
유 41
 
4.0%
인 40
 
3.9%
주 28
 
2.7%
법 28
 
2.7%
농 24
 
2.3%
한 24
 
2.3%
합 22
 
2.1%
조 20
 
1.9%
Other values (234) 677
66.0%
Latin
ValueCountFrequency (%)
e 3
23.1%
t 2
15.4%
I 1
 
7.7%
n 1
 
7.7%
r 1
 
7.7%
g 1
 
7.7%
a 1
 
7.7%
S 1
 
7.7%
y 1
 
7.7%
M 1
 
7.7%
Common
ValueCountFrequency (%)
75
54.3%
) 32
23.2%
( 31
22.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1019
86.6%
ASCII 151
 
12.8%
None 7
 
0.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
75
49.7%
) 32
21.2%
( 31
20.5%
e 3
 
2.0%
t 2
 
1.3%
I 1
 
0.7%
n 1
 
0.7%
r 1
 
0.7%
g 1
 
0.7%
a 1
 
0.7%
Other values (3) 3
 
2.0%
Hangul
ValueCountFrequency (%)
사 70
 
6.9%
회 52
 
5.1%
유 41
 
4.0%
인 40
 
3.9%
주 28
 
2.7%
법 28
 
2.7%
농 24
 
2.4%
한 24
 
2.4%
합 22
 
2.2%
조 20
 
2.0%
Other values (233) 670
65.8%
None
ValueCountFrequency (%)
㈜ 7
100.0%

사회서비스분야
Categorical

Distinct7
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
기타
72 
예술·관광
17 
청소
14 
환경
 
7
간병및가사지원
 
4
Other values (2)
 
2

Length

Max length7
Median length2
Mean length2.6551724
Min length2

Unique

Unique2 ?
Unique (%)1.7%

Sample

1st row기타
2nd row환경
3rd row기타
4th row기타
5th row간병및가사지원

Common Values

ValueCountFrequency (%)
기타 72
62.1%
예술·관광 17
 
14.7%
청소 14
 
12.1%
환경 7
 
6.0%
간병및가사지원 4
 
3.4%
보건 1
 
0.9%
산림보전및관리 1
 
0.9%

Length

2024-03-14T10:53:09.260338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:53:09.343726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
기타 72
62.1%
예술·관광 17
 
14.7%
청소 14
 
12.1%
환경 7
 
6.0%
간병및가사지원 4
 
3.4%
보건 1
 
0.9%
산림보전및관리 1
 
0.9%

주된목적
Categorical

Distinct5
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
일자리제공형
81 
기타형
12 
혼합형
10 
사회서비스제공형
9 
지역사회공헌형
 
4

Length

Max length8
Median length6
Mean length5.6206897
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row사회서비스제공형
2nd row기타형
3rd row혼합형
4th row혼합형
5th row혼합형

Common Values

ValueCountFrequency (%)
일자리제공형 81
69.8%
기타형 12
 
10.3%
혼합형 10
 
8.6%
사회서비스제공형 9
 
7.8%
지역사회공헌형 4
 
3.4%

Length

2024-03-14T10:53:09.447376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:53:09.532227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일자리제공형 81
69.8%
기타형 12
 
10.3%
혼합형 10
 
8.6%
사회서비스제공형 9
 
7.8%
지역사회공헌형 4
 
3.4%

사업내용
Text

Distinct115
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-14T10:53:09.758220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length40
Mean length19.301724
Min length2

Characters and Unicode

Total characters2239
Distinct characters293
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)98.3%

Sample

1st row장애아동 재가보육
2nd row폐기물 수거 재활용
3rd row도시락, 출장뷔페
4th row희망과 아름다운 사랑을 전달하는 간병.가사사업
5th row공동간병, 개인간병, 노인재가요양
ValueCountFrequency (%)
및 32
 
6.6%
판매 13
 
2.7%
등 8
 
1.6%
사업 8
 
1.6%
가공 7
 
1.4%
제조 7
 
1.4%
방역 6
 
1.2%
농산물 6
 
1.2%
공연 6
 
1.2%
청소 5
 
1.0%
Other values (314) 390
79.9%
2024-03-14T10:53:10.133215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
375
 
16.7%
, 159
 
7.1%
공 50
 
2.2%
업 49
 
2.2%
물 38
 
1.7%
가 38
 
1.7%
및 36
 
1.6%
소 34
 
1.5%
사 32
 
1.4%
교 29
 
1.3%
Other values (283) 1399
62.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1653
73.8%
Space Separator 375
 
16.7%
Other Punctuation 172
 
7.7%
Uppercase Letter 15
 
0.7%
Close Punctuation 12
 
0.5%
Open Punctuation 12
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
공 50
 
3.0%
업 49
 
3.0%
물 38
 
2.3%
가 38
 
2.3%
및 36
 
2.2%
소 34
 
2.1%
사 32
 
1.9%
교 29
 
1.8%
지 28
 
1.7%
제 28
 
1.7%
Other values (264) 1291
78.1%
Uppercase Letter
ValueCountFrequency (%)
I 3
20.0%
P 2
13.3%
D 2
13.3%
B 1
 
6.7%
C 1
 
6.7%
N 1
 
6.7%
E 1
 
6.7%
L 1
 
6.7%
K 1
 
6.7%
R 1
 
6.7%
Other Punctuation
ValueCountFrequency (%)
, 159
92.4%
/ 7
 
4.1%
· 3
 
1.7%
. 2
 
1.2%
: 1
 
0.6%
Space Separator
ValueCountFrequency (%)
375
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1653
73.8%
Common 571
 
25.5%
Latin 15
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
공 50
 
3.0%
업 49
 
3.0%
물 38
 
2.3%
가 38
 
2.3%
및 36
 
2.2%
소 34
 
2.1%
사 32
 
1.9%
교 29
 
1.8%
지 28
 
1.7%
제 28
 
1.7%
Other values (264) 1291
78.1%
Latin
ValueCountFrequency (%)
I 3
20.0%
P 2
13.3%
D 2
13.3%
B 1
 
6.7%
C 1
 
6.7%
N 1
 
6.7%
E 1
 
6.7%
L 1
 
6.7%
K 1
 
6.7%
R 1
 
6.7%
Common
ValueCountFrequency (%)
375
65.7%
, 159
27.8%
) 12
 
2.1%
( 12
 
2.1%
/ 7
 
1.2%
· 3
 
0.5%
. 2
 
0.4%
: 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1653
73.8%
ASCII 583
 
26.0%
None 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
375
64.3%
, 159
27.3%
) 12
 
2.1%
( 12
 
2.1%
/ 7
 
1.2%
I 3
 
0.5%
P 2
 
0.3%
. 2
 
0.3%
D 2
 
0.3%
: 1
 
0.2%
Other values (8) 8
 
1.4%
Hangul
ValueCountFrequency (%)
공 50
 
3.0%
업 49
 
3.0%
물 38
 
2.3%
가 38
 
2.3%
및 36
 
2.2%
소 34
 
2.1%
사 32
 
1.9%
교 29
 
1.8%
지 28
 
1.7%
제 28
 
1.7%
Other values (264) 1291
78.1%
None
ValueCountFrequency (%)
· 3
100.0%

인증여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size248.0 B
True
116 
ValueCountFrequency (%)
True 116
100.0%
2024-03-14T10:53:10.243416image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

인증일자
Categorical

Distinct45
Distinct (%)38.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2012-11-01
 
8
2016-11-07
 
7
2017-09-12
 
6
2014-12-16
 
6
2015-11-20
 
6
Other values (40)
83 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique15 ?
Unique (%)12.9%

Sample

1st row2007-10-29
2nd row2008-01-07
3rd row2008-07-11
4th row2008-10-23
5th row2008-10-23

Common Values

ValueCountFrequency (%)
2012-11-01 8
 
6.9%
2016-11-07 7
 
6.0%
2017-09-12 6
 
5.2%
2014-12-16 6
 
5.2%
2015-11-20 6
 
5.2%
2008-10-23 5
 
4.3%
2016-06-29 4
 
3.4%
2015-03-31 4
 
3.4%
2014-09-19 4
 
3.4%
2014-03-13 4
 
3.4%
Other values (35) 62
53.4%

Length

2024-03-14T10:53:10.330515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2012-11-01 8
 
6.9%
2016-11-07 7
 
6.0%
2017-09-12 6
 
5.2%
2015-11-20 6
 
5.2%
2014-12-16 6
 
5.2%
2008-10-23 5
 
4.3%
2016-06-29 4
 
3.4%
2015-03-31 4
 
3.4%
2014-09-19 4
 
3.4%
2014-03-13 4
 
3.4%
Other values (35) 62
53.4%

인증번호
Text

UNIQUE 

Distinct116
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-14T10:53:10.541590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters1160
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique116 ?
Unique (%)100.0%

Sample

1st row제2007-012호
2nd row제2007-053호
3rd row제2008-043호
4th row제2008-084호
5th row제2008-085호
ValueCountFrequency (%)
제2007-012호 1
 
0.9%
제2015-040호 1
 
0.9%
제2015-247호 1
 
0.9%
제2015-246호 1
 
0.9%
제2015-245호 1
 
0.9%
제2015-244호 1
 
0.9%
제2015-243호 1
 
0.9%
제2015-242호 1
 
0.9%
제2015-187호 1
 
0.9%
제2015-186호 1
 
0.9%
Other values (106) 106
91.4%
2024-03-14T10:53:10.905951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 206
17.8%
1 178
15.3%
2 176
15.2%
제 116
10.0%
- 116
10.0%
호 116
10.0%
5 49
 
4.2%
4 45
 
3.9%
3 41
 
3.5%
6 39
 
3.4%
Other values (3) 78
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 812
70.0%
Other Letter 232
 
20.0%
Dash Punctuation 116
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 206
25.4%
1 178
21.9%
2 176
21.7%
5 49
 
6.0%
4 45
 
5.5%
3 41
 
5.0%
6 39
 
4.8%
8 35
 
4.3%
7 30
 
3.7%
9 13
 
1.6%
Other Letter
ValueCountFrequency (%)
제 116
50.0%
호 116
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 116
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 928
80.0%
Hangul 232
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 206
22.2%
1 178
19.2%
2 176
19.0%
- 116
12.5%
5 49
 
5.3%
4 45
 
4.8%
3 41
 
4.4%
6 39
 
4.2%
8 35
 
3.8%
7 30
 
3.2%
Hangul
ValueCountFrequency (%)
제 116
50.0%
호 116
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 928
80.0%
Hangul 232
 
20.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 206
22.2%
1 178
19.2%
2 176
19.0%
- 116
12.5%
5 49
 
5.3%
4 45
 
4.8%
3 41
 
4.4%
6 39
 
4.2%
8 35
 
3.8%
7 30
 
3.2%
Hangul
ValueCountFrequency (%)
제 116
50.0%
호 116
50.0%

대표자명
Text

UNIQUE 

Distinct116
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-14T10:53:11.206173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.1465517
Min length2

Characters and Unicode

Total characters365
Distinct characters115
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique116 ?
Unique (%)100.0%

Sample

1st row황의성
2nd row강재원
3rd row김치훈
4th row김정미
5th row박현정
ValueCountFrequency (%)
황의성 1
 
0.8%
박용남 1
 
0.8%
김학희 1
 
0.8%
유경민 1
 
0.8%
장미정 1
 
0.8%
황미경 1
 
0.8%
강성준 1
 
0.8%
정평수 1
 
0.8%
김원철 1
 
0.8%
김명진 1
 
0.8%
Other values (109) 109
91.6%
2024-03-14T10:53:11.598301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 25
 
6.8%
이 16
 
4.4%
정 14
 
3.8%
성 10
 
2.7%
수 10
 
2.7%
미 7
 
1.9%
진 7
 
1.9%
박 7
 
1.9%
석 7
 
1.9%
최 7
 
1.9%
Other values (105) 255
69.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 358
98.1%
Other Punctuation 4
 
1.1%
Space Separator 3
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 25
 
7.0%
이 16
 
4.5%
정 14
 
3.9%
성 10
 
2.8%
수 10
 
2.8%
미 7
 
2.0%
진 7
 
2.0%
박 7
 
2.0%
석 7
 
2.0%
최 7
 
2.0%
Other values (103) 248
69.3%
Other Punctuation
ValueCountFrequency (%)
, 4
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 358
98.1%
Common 7
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 25
 
7.0%
이 16
 
4.5%
정 14
 
3.9%
성 10
 
2.8%
수 10
 
2.8%
미 7
 
2.0%
진 7
 
2.0%
박 7
 
2.0%
석 7
 
2.0%
최 7
 
2.0%
Other values (103) 248
69.3%
Common
ValueCountFrequency (%)
, 4
57.1%
3
42.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 358
98.1%
ASCII 7
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 25
 
7.0%
이 16
 
4.5%
정 14
 
3.9%
성 10
 
2.8%
수 10
 
2.8%
미 7
 
2.0%
진 7
 
2.0%
박 7
 
2.0%
석 7
 
2.0%
최 7
 
2.0%
Other values (103) 248
69.3%
ASCII
ValueCountFrequency (%)
, 4
57.1%
3
42.9%

전화번호
Text

Distinct115
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-14T10:53:11.804096image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length12
Mean length12.206897
Min length9

Characters and Unicode

Total characters1416
Distinct characters21
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)98.3%

Sample

1st row063-852-1174
2nd row063-214-5200
3rd row063-433-7017
4th row063-643-0263
5th row063-255-7179
ValueCountFrequency (%)
063-534-3336 2
 
1.7%
063-255-3080 1
 
0.9%
063-352-6262 1
 
0.9%
1577-1142 1
 
0.9%
063-246-7589 1
 
0.9%
063-222-6870 1
 
0.9%
063-466-1576 1
 
0.9%
063-562-6622 1
 
0.9%
063-905-8235 1
 
0.9%
063-282-0028 1
 
0.9%
Other values (106) 106
90.6%
2024-03-14T10:53:12.122544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 228
16.1%
3 209
14.8%
6 190
13.4%
0 185
13.1%
2 135
9.5%
5 94
6.6%
4 89
 
6.3%
1 88
 
6.2%
8 72
 
5.1%
7 70
 
4.9%
Other values (11) 56
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1172
82.8%
Dash Punctuation 228
 
16.1%
Close Punctuation 5
 
0.4%
Other Letter 5
 
0.4%
Math Symbol 2
 
0.1%
Open Punctuation 2
 
0.1%
Other Punctuation 1
 
0.1%
Space Separator 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 209
17.8%
6 190
16.2%
0 185
15.8%
2 135
11.5%
5 94
8.0%
4 89
7.6%
1 88
7.5%
8 72
 
6.1%
7 70
 
6.0%
9 40
 
3.4%
Other Letter
ValueCountFrequency (%)
공 1
20.0%
장 1
20.0%
사 1
20.0%
무 1
20.0%
실 1
20.0%
Dash Punctuation
ValueCountFrequency (%)
- 228
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1411
99.6%
Hangul 5
 
0.4%

Most frequent character per script

Common
ValueCountFrequency (%)
- 228
16.2%
3 209
14.8%
6 190
13.5%
0 185
13.1%
2 135
9.6%
5 94
6.7%
4 89
 
6.3%
1 88
 
6.2%
8 72
 
5.1%
7 70
 
5.0%
Other values (6) 51
 
3.6%
Hangul
ValueCountFrequency (%)
공 1
20.0%
장 1
20.0%
사 1
20.0%
무 1
20.0%
실 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1411
99.6%
Hangul 5
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 228
16.2%
3 209
14.8%
6 190
13.5%
0 185
13.1%
2 135
9.6%
5 94
6.7%
4 89
 
6.3%
1 88
 
6.2%
8 72
 
5.1%
7 70
 
5.0%
Other values (6) 51
 
3.6%
Hangul
ValueCountFrequency (%)
공 1
20.0%
장 1
20.0%
사 1
20.0%
무 1
20.0%
실 1
20.0%

소재지도로명주소
Text

Distinct115
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2024-03-14T10:53:12.459909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length36
Mean length22.068966
Min length15

Characters and Unicode

Total characters2560
Distinct characters182
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique114 ?
Unique (%)98.3%

Sample

1st row전라북도 익산시 중앙동 5길 61-1
2nd row전라북도 전주시 완산구 상림동 112-8
3rd row전라북도 진안군 진안읍 거북바위로3길 15-22
4th row전라북도 임실군 관촌면 관촌리 281-4
5th row전라북도 전주시 덕진구 진북동 1124-125
ValueCountFrequency (%)
전라북도 115
 
19.4%
전주시 47
 
7.9%
완산구 31
 
5.2%
덕진구 16
 
2.7%
군산시 12
 
2.0%
익산시 10
 
1.7%
정읍시 9
 
1.5%
고창군 7
 
1.2%
김제시 6
 
1.0%
1층 6
 
1.0%
Other values (286) 335
56.4%
2024-03-14T10:53:12.939682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
492
19.2%
전 172
 
6.7%
북 120
 
4.7%
도 117
 
4.6%
라 117
 
4.6%
1 92
 
3.6%
시 91
 
3.6%
산 67
 
2.6%
2 64
 
2.5%
주 59
 
2.3%
Other values (172) 1169
45.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1572
61.4%
Space Separator 492
 
19.2%
Decimal Number 428
 
16.7%
Dash Punctuation 44
 
1.7%
Other Punctuation 21
 
0.8%
Math Symbol 1
 
< 0.1%
Close Punctuation 1
 
< 0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 172
 
10.9%
북 120
 
7.6%
도 117
 
7.4%
라 117
 
7.4%
시 91
 
5.8%
산 67
 
4.3%
주 59
 
3.8%
구 55
 
3.5%
로 52
 
3.3%
길 41
 
2.6%
Other values (156) 681
43.3%
Decimal Number
ValueCountFrequency (%)
1 92
21.5%
2 64
15.0%
5 56
13.1%
4 47
11.0%
3 45
10.5%
0 32
 
7.5%
6 26
 
6.1%
8 24
 
5.6%
7 23
 
5.4%
9 19
 
4.4%
Space Separator
ValueCountFrequency (%)
492
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Other Punctuation
ValueCountFrequency (%)
, 21
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1572
61.4%
Common 988
38.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 172
 
10.9%
북 120
 
7.6%
도 117
 
7.4%
라 117
 
7.4%
시 91
 
5.8%
산 67
 
4.3%
주 59
 
3.8%
구 55
 
3.5%
로 52
 
3.3%
길 41
 
2.6%
Other values (156) 681
43.3%
Common
ValueCountFrequency (%)
492
49.8%
1 92
 
9.3%
2 64
 
6.5%
5 56
 
5.7%
4 47
 
4.8%
3 45
 
4.6%
- 44
 
4.5%
0 32
 
3.2%
6 26
 
2.6%
8 24
 
2.4%
Other values (6) 66
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1572
61.4%
ASCII 988
38.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
492
49.8%
1 92
 
9.3%
2 64
 
6.5%
5 56
 
5.7%
4 47
 
4.8%
3 45
 
4.6%
- 44
 
4.5%
0 32
 
3.2%
6 26
 
2.6%
8 24
 
2.4%
Other values (6) 66
 
6.7%
Hangul
ValueCountFrequency (%)
전 172
 
10.9%
북 120
 
7.6%
도 117
 
7.4%
라 117
 
7.4%
시 91
 
5.8%
산 67
 
4.3%
주 59
 
3.8%
구 55
 
3.5%
로 52
 
3.3%
길 41
 
2.6%
Other values (156) 681
43.3%

소재지지번주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing116
Missing (%)100.0%
Memory size1.1 KiB

홈페이지
Text

MISSING 

Distinct79
Distinct (%)100.0%
Missing37
Missing (%)31.9%
Memory size1.0 KiB
2024-03-14T10:53:13.167883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length65
Median length27
Mean length18.810127
Min length7

Characters and Unicode

Total characters1486
Distinct characters82
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique79 ?
Unique (%)100.0%

Sample

1st rowwww.s-somang.or.kr
2nd rowhttp://www.dijjahwal.or.kr/
3rd rowhttp://www.nanumfood.or.kr
4th rowwww.wooripj.com
5th rowwww.jssc.kr
ValueCountFrequency (%)
www.s-somang.or.kr 1
 
1.2%
http://www.cooponre.com 1
 
1.2%
dodream.jj.ac.kr 1
 
1.2%
www.doosonfood.co.kr 1
 
1.2%
www.nanumcoop.kr 1
 
1.2%
http://haeall.co.kr 1
 
1.2%
http://www.anyschool.kr 1
 
1.2%
jangsumarket.com 1
 
1.2%
www.4namme.com 1
 
1.2%
www.giplay.blog.me 1
 
1.2%
Other values (74) 74
88.1%
2024-03-14T10:53:13.510588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
w 181
 
12.2%
. 179
 
12.0%
o 128
 
8.6%
r 85
 
5.7%
a 76
 
5.1%
c 76
 
5.1%
t 64
 
4.3%
m 62
 
4.2%
n 61
 
4.1%
e 53
 
3.6%
Other values (72) 521
35.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1154
77.7%
Other Punctuation 261
 
17.6%
Other Letter 29
 
2.0%
Decimal Number 19
 
1.3%
Uppercase Letter 15
 
1.0%
Space Separator 5
 
0.3%
Dash Punctuation 2
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 2
 
6.9%
이 2
 
6.9%
사 1
 
3.4%
건 1
 
3.4%
축 1
 
3.4%
공 1
 
3.4%
남 1
 
3.4%
원 1
 
3.4%
부 1
 
3.4%
각 1
 
3.4%
Other values (17) 17
58.6%
Lowercase Letter
ValueCountFrequency (%)
w 181
15.7%
o 128
 
11.1%
r 85
 
7.4%
a 76
 
6.6%
c 76
 
6.6%
t 64
 
5.5%
m 62
 
5.4%
n 61
 
5.3%
e 53
 
4.6%
k 46
 
4.0%
Other values (15) 322
27.9%
Uppercase Letter
ValueCountFrequency (%)
M 2
13.3%
A 2
13.3%
K 1
 
6.7%
E 1
 
6.7%
T 1
 
6.7%
C 1
 
6.7%
O 1
 
6.7%
R 1
 
6.7%
U 1
 
6.7%
S 1
 
6.7%
Other values (3) 3
20.0%
Decimal Number
ValueCountFrequency (%)
0 3
15.8%
9 3
15.8%
2 3
15.8%
4 3
15.8%
3 2
10.5%
1 2
10.5%
8 2
10.5%
6 1
 
5.3%
Other Punctuation
ValueCountFrequency (%)
. 179
68.6%
/ 53
 
20.3%
: 20
 
7.7%
? 4
 
1.5%
, 4
 
1.5%
@ 1
 
0.4%
Space Separator
ValueCountFrequency (%)
5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Open Punctuation
ValueCountFrequency (%)
[ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1169
78.7%
Common 288
 
19.4%
Hangul 29
 
2.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 181
15.5%
o 128
 
10.9%
r 85
 
7.3%
a 76
 
6.5%
c 76
 
6.5%
t 64
 
5.5%
m 62
 
5.3%
n 61
 
5.2%
e 53
 
4.5%
k 46
 
3.9%
Other values (28) 337
28.8%
Hangul
ValueCountFrequency (%)
기 2
 
6.9%
이 2
 
6.9%
사 1
 
3.4%
건 1
 
3.4%
축 1
 
3.4%
공 1
 
3.4%
남 1
 
3.4%
원 1
 
3.4%
부 1
 
3.4%
각 1
 
3.4%
Other values (17) 17
58.6%
Common
ValueCountFrequency (%)
. 179
62.2%
/ 53
 
18.4%
: 20
 
6.9%
5
 
1.7%
? 4
 
1.4%
, 4
 
1.4%
0 3
 
1.0%
9 3
 
1.0%
2 3
 
1.0%
4 3
 
1.0%
Other values (7) 11
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1457
98.0%
Hangul 29
 
2.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
w 181
 
12.4%
. 179
 
12.3%
o 128
 
8.8%
r 85
 
5.8%
a 76
 
5.2%
c 76
 
5.2%
t 64
 
4.4%
m 62
 
4.3%
n 61
 
4.2%
e 53
 
3.6%
Other values (45) 492
33.8%
Hangul
ValueCountFrequency (%)
기 2
 
6.9%
이 2
 
6.9%
사 1
 
3.4%
건 1
 
3.4%
축 1
 
3.4%
공 1
 
3.4%
남 1
 
3.4%
원 1
 
3.4%
부 1
 
3.4%
각 1
 
3.4%
Other values (17) 17
58.6%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
2017-09-12
116 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2017-09-12
2nd row2017-09-12
3rd row2017-09-12
4th row2017-09-12
5th row2017-09-12

Common Values

ValueCountFrequency (%)
2017-09-12 116
100.0%

Length

2024-03-14T10:53:13.620842image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:53:13.690115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2017-09-12 116
100.0%

자료출처
Categorical

CONSTANT 

Distinct1
Distinct (%)0.9%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
일자리경제정책관
116 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일자리경제정책관 116
100.0%

Length

2024-03-14T10:53:13.762253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T10:53:13.832815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일자리경제정책관 116
100.0%

Correlations

2024-03-14T10:53:13.876259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사회서비스분야주된목적인증일자홈페이지
사회서비스분야1.0000.4930.7261.000
주된목적0.4931.0000.6391.000
인증일자0.7260.6391.0001.000
홈페이지1.0001.0001.0001.000
2024-03-14T10:53:13.952601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주된목적사회서비스분야인증일자
주된목적1.0000.3410.262
사회서비스분야0.3411.0000.314
인증일자0.2620.3141.000
2024-03-14T10:53:14.031013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사회서비스분야주된목적인증일자
사회서비스분야1.0000.3410.314
주된목적0.3411.0000.262
인증일자0.3140.2621.000

Missing values

2024-03-14T10:53:08.466179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T10:53:08.637106image/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

기관명사회서비스분야주된목적사업내용인증여부인증일자인증번호대표자명전화번호소재지도로명주소소재지지번주소홈페이지데이터기준일자자료출처
0(사)사랑의손길새소망기타사회서비스제공형장애아동 재가보육Y2007-10-29제2007-012호황의성063-852-1174전라북도 익산시 중앙동 5길 61-1<NA>www.s-somang.or.kr2017-09-12일자리경제정책관
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