Overview

Dataset statistics

Number of variables9
Number of observations278
Missing cells137
Missing cells (%)5.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.7 KiB
Average record size in memory72.5 B

Variable types

Text6
Categorical2
DateTime1

Dataset

Description경상북도의 사회적기업의 인증번호, 기관명, 사업내용 등의 정보를 제공합니다.사회적기업이란 영리기업과 비영리기업의 중간 형태로 사회적 목적을 우선적으로 추구하면서 재화, 서비스의 생산 및 판매 등의 영업활동을 수행하는 기업(조직)을 말한다.
Author경상북도
URLhttps://www.data.go.kr/data/15070908/fileData.do

Alerts

홈페이지 has 137 (49.3%) missing valuesMissing
인증번호 has unique valuesUnique
기관명 has unique valuesUnique
사업내용 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:29:26.279621
Analysis finished2023-12-12 13:29:27.487314
Duration1.21 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

인증번호
Text

UNIQUE 

Distinct278
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-12T22:29:27.756048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length10
Min length10

Characters and Unicode

Total characters2780
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

Unique278 ?
Unique (%)100.0%

Sample

1st row제2007-032호
2nd row제2008-040호
3rd row제2008-041호
4th row제2008-136호
5th row제2009-012호
ValueCountFrequency (%)
제2007-032호 1
 
0.4%
제2021-172호 1
 
0.4%
제2021-178호 1
 
0.4%
제2021-177호 1
 
0.4%
제2021-176호 1
 
0.4%
제2021-175호 1
 
0.4%
제2021-174호 1
 
0.4%
제2021-021호 1
 
0.4%
제2021-171호 1
 
0.4%
제2021-019호 1
 
0.4%
Other values (268) 268
96.4%
2023-12-12T22:29:28.387413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 593
21.3%
0 461
16.6%
1 346
12.4%
278
10.0%
- 278
10.0%
278
10.0%
3 127
 
4.6%
9 74
 
2.7%
7 72
 
2.6%
4 71
 
2.6%
Other values (3) 202
 
7.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1946
70.0%
Other Letter 556
 
20.0%
Dash Punctuation 278
 
10.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 593
30.5%
0 461
23.7%
1 346
17.8%
3 127
 
6.5%
9 74
 
3.8%
7 72
 
3.7%
4 71
 
3.6%
5 69
 
3.5%
6 68
 
3.5%
8 65
 
3.3%
Other Letter
ValueCountFrequency (%)
278
50.0%
278
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 278
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2224
80.0%
Hangul 556
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 593
26.7%
0 461
20.7%
1 346
15.6%
- 278
12.5%
3 127
 
5.7%
9 74
 
3.3%
7 72
 
3.2%
4 71
 
3.2%
5 69
 
3.1%
6 68
 
3.1%
Hangul
ValueCountFrequency (%)
278
50.0%
278
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2224
80.0%
Hangul 556
 
20.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 593
26.7%
0 461
20.7%
1 346
15.6%
- 278
12.5%
3 127
 
5.7%
9 74
 
3.3%
7 72
 
3.2%
4 71
 
3.2%
5 69
 
3.1%
6 68
 
3.1%
Hangul
ValueCountFrequency (%)
278
50.0%
278
50.0%

기관명
Text

UNIQUE 

Distinct278
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-12T22:29:28.774574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length18
Mean length10.719424
Min length4

Characters and Unicode

Total characters2980
Distinct characters370
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

Unique278 ?
Unique (%)100.0%

Sample

1st row참사랑보호작업장
2nd row㈜제일산업
3rd row사회복지법인유은복지재단나눔공동체
4th row(주)참살이
5th row주식회사행복한일터
ValueCountFrequency (%)
주식회사 116
 
22.1%
농업회사법인 35
 
6.7%
14
 
2.7%
협동조합 12
 
2.3%
영농조합법인 11
 
2.1%
사회적협동조합 11
 
2.1%
사단법인 10
 
1.9%
4
 
0.8%
3
 
0.6%
사회적 2
 
0.4%
Other values (306) 307
58.5%
2023-12-12T22:29:29.385341image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
250
 
8.4%
224
 
7.5%
201
 
6.7%
163
 
5.5%
134
 
4.5%
87
 
2.9%
75
 
2.5%
70
 
2.3%
64
 
2.1%
64
 
2.1%
Other values (360) 1648
55.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2613
87.7%
Space Separator 250
 
8.4%
Other Symbol 37
 
1.2%
Close Punctuation 33
 
1.1%
Open Punctuation 33
 
1.1%
Uppercase Letter 14
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
224
 
8.6%
201
 
7.7%
163
 
6.2%
134
 
5.1%
87
 
3.3%
75
 
2.9%
70
 
2.7%
64
 
2.4%
64
 
2.4%
57
 
2.2%
Other values (345) 1474
56.4%
Uppercase Letter
ValueCountFrequency (%)
A 2
14.3%
N 2
14.3%
O 2
14.3%
W 1
7.1%
M 1
7.1%
Y 1
7.1%
C 1
7.1%
R 1
7.1%
V 1
7.1%
F 1
7.1%
Space Separator
ValueCountFrequency (%)
250
100.0%
Other Symbol
ValueCountFrequency (%)
37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 33
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2650
88.9%
Common 316
 
10.6%
Latin 14
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
224
 
8.5%
201
 
7.6%
163
 
6.2%
134
 
5.1%
87
 
3.3%
75
 
2.8%
70
 
2.6%
64
 
2.4%
64
 
2.4%
57
 
2.2%
Other values (346) 1511
57.0%
Latin
ValueCountFrequency (%)
A 2
14.3%
N 2
14.3%
O 2
14.3%
W 1
7.1%
M 1
7.1%
Y 1
7.1%
C 1
7.1%
R 1
7.1%
V 1
7.1%
F 1
7.1%
Common
ValueCountFrequency (%)
250
79.1%
) 33
 
10.4%
( 33
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2613
87.7%
ASCII 330
 
11.1%
None 37
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
250
75.8%
) 33
 
10.0%
( 33
 
10.0%
A 2
 
0.6%
N 2
 
0.6%
O 2
 
0.6%
W 1
 
0.3%
M 1
 
0.3%
Y 1
 
0.3%
C 1
 
0.3%
Other values (4) 4
 
1.2%
Hangul
ValueCountFrequency (%)
224
 
8.6%
201
 
7.7%
163
 
6.2%
134
 
5.1%
87
 
3.3%
75
 
2.9%
70
 
2.7%
64
 
2.4%
64
 
2.4%
57
 
2.2%
Other values (345) 1474
56.4%
None
ValueCountFrequency (%)
37
100.0%

사업내용
Text

UNIQUE 

Distinct278
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-12T22:29:29.803052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length146
Median length59
Mean length29.669065
Min length1

Characters and Unicode

Total characters8248
Distinct characters452
Distinct categories8 ?
Distinct scripts4 ?
Distinct blocks6 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique278 ?
Unique (%)100.0%

Sample

1st row이동스팀세차, 재활용, 벽돌제조
2nd row종이컵 제조, 판매
3rd row새싹및어린잎채소재배, 현수막제작
4th row간병, 재활용수집
5th row위생관리 용역등의 수익사업
ValueCountFrequency (%)
110
 
6.8%
농산물 29
 
1.8%
제조 24
 
1.5%
기타 22
 
1.4%
판매 21
 
1.3%
제조업 16
 
1.0%
전자상거래업 15
 
0.9%
소매업 14
 
0.9%
전자상거래 13
 
0.8%
교육 11
 
0.7%
Other values (978) 1348
83.1%
2023-12-12T22:29:30.471682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1354
 
16.4%
, 749
 
9.1%
280
 
3.4%
150
 
1.8%
141
 
1.7%
128
 
1.6%
126
 
1.5%
122
 
1.5%
114
 
1.4%
112
 
1.4%
Other values (442) 4972
60.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5988
72.6%
Space Separator 1354
 
16.4%
Other Punctuation 771
 
9.3%
Uppercase Letter 51
 
0.6%
Close Punctuation 35
 
0.4%
Open Punctuation 35
 
0.4%
Lowercase Letter 7
 
0.1%
Decimal Number 7
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
280
 
4.7%
150
 
2.5%
141
 
2.4%
128
 
2.1%
126
 
2.1%
122
 
2.0%
114
 
1.9%
112
 
1.9%
111
 
1.9%
103
 
1.7%
Other values (407) 4601
76.8%
Uppercase Letter
ValueCountFrequency (%)
C 9
17.6%
V 5
9.8%
T 5
9.8%
D 5
9.8%
S 4
 
7.8%
M 3
 
5.9%
E 3
 
5.9%
L 3
 
5.9%
R 2
 
3.9%
I 2
 
3.9%
Other values (8) 10
19.6%
Lowercase Letter
ValueCountFrequency (%)
c 3
42.9%
v 1
 
14.3%
t 1
 
14.3%
p 1
 
14.3%
b 1
 
14.3%
Decimal Number
ValueCountFrequency (%)
1 3
42.9%
3 1
 
14.3%
2 1
 
14.3%
0 1
 
14.3%
6 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
, 749
97.1%
/ 20
 
2.6%
. 1
 
0.1%
· 1
 
0.1%
Space Separator
ValueCountFrequency (%)
1354
100.0%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5986
72.6%
Common 2202
 
26.7%
Latin 58
 
0.7%
Han 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
280
 
4.7%
150
 
2.5%
141
 
2.4%
128
 
2.1%
126
 
2.1%
122
 
2.0%
114
 
1.9%
112
 
1.9%
111
 
1.9%
103
 
1.7%
Other values (405) 4599
76.8%
Latin
ValueCountFrequency (%)
C 9
15.5%
V 5
 
8.6%
T 5
 
8.6%
D 5
 
8.6%
S 4
 
6.9%
c 3
 
5.2%
M 3
 
5.2%
E 3
 
5.2%
L 3
 
5.2%
R 2
 
3.4%
Other values (13) 16
27.6%
Common
ValueCountFrequency (%)
1354
61.5%
, 749
34.0%
) 35
 
1.6%
( 35
 
1.6%
/ 20
 
0.9%
1 3
 
0.1%
3 1
 
< 0.1%
2 1
 
< 0.1%
. 1
 
< 0.1%
0 1
 
< 0.1%
Other values (2) 2
 
0.1%
Han
ValueCountFrequency (%)
1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5985
72.6%
ASCII 2259
 
27.4%
Compat Jamo 1
 
< 0.1%
CJK Compat Ideographs 1
 
< 0.1%
CJK 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1354
59.9%
, 749
33.2%
) 35
 
1.5%
( 35
 
1.5%
/ 20
 
0.9%
C 9
 
0.4%
V 5
 
0.2%
T 5
 
0.2%
D 5
 
0.2%
S 4
 
0.2%
Other values (24) 38
 
1.7%
Hangul
ValueCountFrequency (%)
280
 
4.7%
150
 
2.5%
141
 
2.4%
128
 
2.1%
126
 
2.1%
122
 
2.0%
114
 
1.9%
112
 
1.9%
111
 
1.9%
103
 
1.7%
Other values (404) 4598
76.8%
Compat Jamo
ValueCountFrequency (%)
1
100.0%
CJK Compat Ideographs
ValueCountFrequency (%)
1
100.0%
CJK
ValueCountFrequency (%)
1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

유형
Categorical

Distinct5
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
일자리제공형
182 
지역사회공헌형
60 
기타(창의,혁신)형
 
14
혼합형
 
11
사회서비스제공형
 
11

Length

Max length10
Median length6
Mean length6.3776978
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row일자리제공형
2nd row일자리제공형
3rd row일자리제공형
4th row일자리제공형
5th row기타(창의,혁신)형

Common Values

ValueCountFrequency (%)
일자리제공형 182
65.5%
지역사회공헌형 60
 
21.6%
기타(창의,혁신)형 14
 
5.0%
혼합형 11
 
4.0%
사회서비스제공형 11
 
4.0%

Length

2023-12-12T22:29:30.681945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T22:29:30.825369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일자리제공형 182
65.5%
지역사회공헌형 60
 
21.6%
기타(창의,혁신)형 14
 
5.0%
혼합형 11
 
4.0%
사회서비스제공형 11
 
4.0%
Distinct12
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
기타
187 
교육
25 
문화예술
20 
청소
 
9
간병가사지원
 
9
Other values (7)
28 

Length

Max length7
Median length2
Mean length2.4676259
Min length2

Unique

Unique2 ?
Unique (%)0.7%

Sample

1st row청소
2nd row기타
3rd row사회복지
4th row간병가사지원
5th row청소

Common Values

ValueCountFrequency (%)
기타 187
67.3%
교육 25
 
9.0%
문화예술 20
 
7.2%
청소 9
 
3.2%
간병가사지원 9
 
3.2%
관광운동 9
 
3.2%
사회복지 7
 
2.5%
산림보전및관리 4
 
1.4%
환경 4
 
1.4%
문화재 2
 
0.7%
Other values (2) 2
 
0.7%

Length

2023-12-12T22:29:30.966018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
기타 187
67.3%
교육 25
 
9.0%
문화예술 20
 
7.2%
청소 9
 
3.2%
간병가사지원 9
 
3.2%
관광운동 9
 
3.2%
사회복지 7
 
2.5%
산림보전및관리 4
 
1.4%
환경 4
 
1.4%
문화재 2
 
0.7%
Other values (2) 2
 
0.7%
Distinct277
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-12T22:29:31.374298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length45
Mean length25.276978
Min length15

Characters and Unicode

Total characters7027
Distinct characters257
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

Unique276 ?
Unique (%)99.3%

Sample

1st row경상북도 안동시 북후면 도촌리 846-3
2nd row경상북도 칠곡군 지천면 창평리 507
3rd row경상북도 안동시 남선면 현내리 673번지
4th row경상북도 구미시 해평면 숭선로 301-49
5th row경상북도 문경시 흥덕동 559-2
ValueCountFrequency (%)
경상북도 278
 
19.1%
포항시 46
 
3.2%
안동시 36
 
2.5%
북구 25
 
1.7%
구미시 24
 
1.6%
영주시 22
 
1.5%
남구 21
 
1.4%
경주시 21
 
1.4%
상주시 14
 
1.0%
칠곡군 13
 
0.9%
Other values (711) 958
65.7%
2023-12-12T22:29:32.071569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1188
 
16.9%
345
 
4.9%
329
 
4.7%
308
 
4.4%
304
 
4.3%
1 251
 
3.6%
214
 
3.0%
211
 
3.0%
173
 
2.5%
2 171
 
2.4%
Other values (247) 3533
50.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4235
60.3%
Space Separator 1188
 
16.9%
Decimal Number 1130
 
16.1%
Close Punctuation 131
 
1.9%
Open Punctuation 131
 
1.9%
Other Punctuation 115
 
1.6%
Dash Punctuation 92
 
1.3%
Uppercase Letter 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
345
 
8.1%
329
 
7.8%
308
 
7.3%
304
 
7.2%
214
 
5.1%
211
 
5.0%
173
 
4.1%
139
 
3.3%
87
 
2.1%
79
 
1.9%
Other values (227) 2046
48.3%
Decimal Number
ValueCountFrequency (%)
1 251
22.2%
2 171
15.1%
3 129
11.4%
4 111
9.8%
5 95
 
8.4%
0 89
 
7.9%
6 82
 
7.3%
7 77
 
6.8%
8 75
 
6.6%
9 50
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
A 2
40.0%
B 1
20.0%
D 1
20.0%
C 1
20.0%
Other Punctuation
ValueCountFrequency (%)
, 113
98.3%
. 2
 
1.7%
Space Separator
ValueCountFrequency (%)
1188
100.0%
Close Punctuation
ValueCountFrequency (%)
) 131
100.0%
Open Punctuation
ValueCountFrequency (%)
( 131
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4235
60.3%
Common 2787
39.7%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
345
 
8.1%
329
 
7.8%
308
 
7.3%
304
 
7.2%
214
 
5.1%
211
 
5.0%
173
 
4.1%
139
 
3.3%
87
 
2.1%
79
 
1.9%
Other values (227) 2046
48.3%
Common
ValueCountFrequency (%)
1188
42.6%
1 251
 
9.0%
2 171
 
6.1%
) 131
 
4.7%
( 131
 
4.7%
3 129
 
4.6%
, 113
 
4.1%
4 111
 
4.0%
5 95
 
3.4%
- 92
 
3.3%
Other values (6) 375
 
13.5%
Latin
ValueCountFrequency (%)
A 2
40.0%
B 1
20.0%
D 1
20.0%
C 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4235
60.3%
ASCII 2792
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1188
42.6%
1 251
 
9.0%
2 171
 
6.1%
) 131
 
4.7%
( 131
 
4.7%
3 129
 
4.6%
, 113
 
4.0%
4 111
 
4.0%
5 95
 
3.4%
- 92
 
3.3%
Other values (10) 380
 
13.6%
Hangul
ValueCountFrequency (%)
345
 
8.1%
329
 
7.8%
308
 
7.3%
304
 
7.2%
214
 
5.1%
211
 
5.0%
173
 
4.1%
139
 
3.3%
87
 
2.1%
79
 
1.9%
Other values (227) 2046
48.3%

홈페이지
Text

MISSING 

Distinct140
Distinct (%)99.3%
Missing137
Missing (%)49.3%
Memory size2.3 KiB
2023-12-12T22:29:32.335947image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length26
Mean length17.021277
Min length7

Characters and Unicode

Total characters2400
Distinct characters111
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique139 ?
Unique (%)98.6%

Sample

1st rowhttp://www.goodcitizen.co.kr
2nd rowwww.nanumicup.com
3rd rowwww.nanum21.org
4th rowwww.kkwc.or.kr
5th rowwww.sjcenter.or.kr
ValueCountFrequency (%)
silla.or.kr 2
 
1.4%
두손공동체.kr 1
 
0.7%
www.풍기바람.net 1
 
0.7%
www.survivalswimming.co.kr 1
 
0.7%
andongbanga.co.kr 1
 
0.7%
www.hanscoop.co.kr 1
 
0.7%
blog.naver.com/onnuri1533 1
 
0.7%
www.chamnong.co.kr 1
 
0.7%
www.animalfarm.or.kr 1
 
0.7%
cheongdolocal.com 1
 
0.7%
Other values (131) 131
92.3%
2023-12-12T22:29:32.757977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 298
 
12.4%
w 296
 
12.3%
o 204
 
8.5%
r 159
 
6.6%
c 127
 
5.3%
a 123
 
5.1%
m 104
 
4.3%
n 101
 
4.2%
e 98
 
4.1%
k 97
 
4.0%
Other values (101) 793
33.0%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 1892
78.8%
Other Punctuation 368
 
15.3%
Other Letter 84
 
3.5%
Decimal Number 42
 
1.8%
Dash Punctuation 10
 
0.4%
Uppercase Letter 3
 
0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
3
 
3.6%
2
 
2.4%
2
 
2.4%
2
 
2.4%
2
 
2.4%
2
 
2.4%
2
 
2.4%
2
 
2.4%
2
 
2.4%
2
 
2.4%
Other values (59) 63
75.0%
Lowercase Letter
ValueCountFrequency (%)
w 296
15.6%
o 204
10.8%
r 159
 
8.4%
c 127
 
6.7%
a 123
 
6.5%
m 104
 
5.5%
n 101
 
5.3%
e 98
 
5.2%
k 97
 
5.1%
t 74
 
3.9%
Other values (14) 509
26.9%
Decimal Number
ValueCountFrequency (%)
1 11
26.2%
0 6
14.3%
3 5
11.9%
9 4
 
9.5%
2 4
 
9.5%
4 3
 
7.1%
5 3
 
7.1%
7 3
 
7.1%
8 2
 
4.8%
6 1
 
2.4%
Other Punctuation
ValueCountFrequency (%)
. 298
81.0%
/ 50
 
13.6%
: 16
 
4.3%
, 2
 
0.5%
@ 2
 
0.5%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%
Uppercase Letter
ValueCountFrequency (%)
W 3
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 1895
79.0%
Common 421
 
17.5%
Hangul 84
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
3
 
3.6%
2
 
2.4%
2
 
2.4%
2
 
2.4%
2
 
2.4%
2
 
2.4%
2
 
2.4%
2
 
2.4%
2
 
2.4%
2
 
2.4%
Other values (59) 63
75.0%
Latin
ValueCountFrequency (%)
w 296
15.6%
o 204
 
10.8%
r 159
 
8.4%
c 127
 
6.7%
a 123
 
6.5%
m 104
 
5.5%
n 101
 
5.3%
e 98
 
5.2%
k 97
 
5.1%
t 74
 
3.9%
Other values (15) 512
27.0%
Common
ValueCountFrequency (%)
. 298
70.8%
/ 50
 
11.9%
: 16
 
3.8%
1 11
 
2.6%
- 10
 
2.4%
0 6
 
1.4%
3 5
 
1.2%
9 4
 
1.0%
2 4
 
1.0%
4 3
 
0.7%
Other values (7) 14
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2316
96.5%
Hangul 84
 
3.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 298
12.9%
w 296
12.8%
o 204
 
8.8%
r 159
 
6.9%
c 127
 
5.5%
a 123
 
5.3%
m 104
 
4.5%
n 101
 
4.4%
e 98
 
4.2%
k 97
 
4.2%
Other values (32) 709
30.6%
Hangul
ValueCountFrequency (%)
3
 
3.6%
2
 
2.4%
2
 
2.4%
2
 
2.4%
2
 
2.4%
2
 
2.4%
2
 
2.4%
2
 
2.4%
2
 
2.4%
2
 
2.4%
Other values (59) 63
75.0%
Distinct73
Distinct (%)26.3%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
Minimum2007-10-29 00:00:00
Maximum2023-10-25 00:00:00
2023-12-12T22:29:32.918132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:29:33.088268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct73
Distinct (%)26.3%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-12T22:29:33.325572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters2224
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

Unique17 ?
Unique (%)6.1%

Sample

1st row2007년 1차
2nd row2008년 2차
3rd row2008년 2차
4th row2008년 4차
5th row2009년 1차
ValueCountFrequency (%)
1차 55
9.9%
3차 52
 
9.4%
2021년 49
 
8.8%
4차 45
 
8.1%
5차 44
 
7.9%
6차 43
 
7.7%
2차 39
 
7.0%
2022년 36
 
6.5%
2020년 31
 
5.6%
2019년 29
 
5.2%
Other values (13) 133
23.9%
2023-12-12T22:29:33.719325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 499
22.4%
0 321
14.4%
278
12.5%
278
12.5%
278
12.5%
1 245
11.0%
3 85
 
3.8%
6 61
 
2.7%
5 59
 
2.7%
4 58
 
2.6%
Other values (3) 62
 
2.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1390
62.5%
Other Letter 556
 
25.0%
Space Separator 278
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 499
35.9%
0 321
23.1%
1 245
17.6%
3 85
 
6.1%
6 61
 
4.4%
5 59
 
4.2%
4 58
 
4.2%
9 32
 
2.3%
7 15
 
1.1%
8 15
 
1.1%
Other Letter
ValueCountFrequency (%)
278
50.0%
278
50.0%
Space Separator
ValueCountFrequency (%)
278
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1668
75.0%
Hangul 556
 
25.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 499
29.9%
0 321
19.2%
278
16.7%
1 245
14.7%
3 85
 
5.1%
6 61
 
3.7%
5 59
 
3.5%
4 58
 
3.5%
9 32
 
1.9%
7 15
 
0.9%
Hangul
ValueCountFrequency (%)
278
50.0%
278
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1668
75.0%
Hangul 556
 
25.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 499
29.9%
0 321
19.2%
278
16.7%
1 245
14.7%
3 85
 
5.1%
6 61
 
3.7%
5 59
 
3.5%
4 58
 
3.5%
9 32
 
1.9%
7 15
 
0.9%
Hangul
ValueCountFrequency (%)
278
50.0%
278
50.0%

Correlations

2023-12-12T22:29:33.868884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유형사회서비스분야인증일자인증회차
유형1.0000.4980.6070.607
사회서비스분야0.4981.0000.7310.731
인증일자0.6070.7311.0001.000
인증회차0.6070.7311.0001.000
2023-12-12T22:29:34.030780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
사회서비스분야유형
사회서비스분야1.0000.299
유형0.2991.000
2023-12-12T22:29:34.143535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
유형사회서비스분야
유형1.0000.299
사회서비스분야0.2991.000

Missing values

2023-12-12T22:29:27.252505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:29:27.424750image/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

인증번호기관명사업내용유형사회서비스분야소재지홈페이지인증일자인증회차
0제2007-032호참사랑보호작업장이동스팀세차, 재활용, 벽돌제조일자리제공형청소경상북도 안동시 북후면 도촌리 846-3http://www.goodcitizen.co.kr2007-10-292007년 1차
1제2008-040호㈜제일산업종이컵 제조, 판매일자리제공형기타경상북도 칠곡군 지천면 창평리 507www.nanumicup.com2008-07-112008년 2차
2제2008-041호사회복지법인유은복지재단나눔공동체새싹및어린잎채소재배, 현수막제작일자리제공형사회복지경상북도 안동시 남선면 현내리 673번지www.nanum21.org2008-07-112008년 2차
3제2008-136호(주)참살이간병, 재활용수집일자리제공형간병가사지원경상북도 구미시 해평면 숭선로 301-49<NA>2008-12-302008년 4차
4제2009-012호주식회사행복한일터위생관리 용역등의 수익사업기타(창의,혁신)형청소경상북도 문경시 흥덕동 559-2<NA>2009-05-282009년 1차
5제2009-044호사단법인 가경사회서비스지원센터노인재가요양, 가사, 간병, 장애인활동지원혼합형간병가사지원경상북도 경주시 동문로 50, 3층(성동동)www.kkwc.or.kr2009-11-112009년 3차
6제2009-065호사회복지법인 성요셉복지재단 성요셉직업재활센터장애인재활작업장(박스,면장갑공장) 및 인력풀,친환경농장운영일자리제공형기타경상북도 고령군 성산면 어곡리 369www.sjcenter.or.kr2010-01-212009년 4차
7제2010-047호사단법인 미래문화재단전통한옥을 활용한 체험프로그램 운영, 안동지역의 전통한옥(古宅) 보존관리, 전통문화 공연 및 행사 기획, 관광상품 개발일자리제공형문화예술경상북도 안동시 당북1길 53, 2층(당북동)www.gbculture.org2010-07-292010년 2차
8제2010-101호㈜포스코휴먼스스틸하우스 제작, 시공, 작업복 세탁, IT 위탁일자리제공형기타경상북도 포항시 남구 동해안로 6213번길 15-1(동촌동)www.poscohumans.com2010-10-202010년 3차
9제2010-102호㈜드림앤해피워크집수리 등 주거환경 개선 및 개조사업일자리제공형기타경상북도 울진군 매화면 매화2길 57www.dreamhappywork.co.kr2010-10-202010년 3차
인증번호기관명사업내용유형사회서비스분야소재지홈페이지인증일자인증회차
268제2023-176호(주)스마트앤홈건축물 일반 청소업, 에어컨 세척업, 교재 제조업, 구매대행, 휴게음식점일자리제공형기타경상북도 구미시 산동읍 신당1로 24, 1동 307호(바젤파크시티)<NA>2023-10-252023년 3차
269제2023-177호농업회사법인(주)왕피천힐링팜산림복지, 교육농장, 농산물 및 임산물 도소매, 전자상거래 소매업, 국내여행업, 체험농장지역사회공헌형교육경상북도 울진군 금강송면 양지길 7<NA>2023-10-252023년 3차
270제2023-178호농업회사법인고운(주)즉석식품(떡류, 혼합음료, 액상차), 떡교육, 전자상거래 소매업일자리제공형기타경상북도 경산시 성동로 16, 103호(정평동)<NA>2023-10-252023년 3차
271제2023-179호대가야씨네누리 협동조합영화관 운영업, 영화관매점, 영화관장소대여, 전시, 컨벤션 및 행사 대행업지역사회공헌형문화예술경상북도 고령군 대가야읍 대가야로 1216, 대가야시네마gr.scinema.org2023-10-252023년 3차
272제2023-180호우일농산영농조합법인다진마늘 제조업, 농산물 도소매업, 전자상거래업일자리제공형기타경상북도 의성군 의성읍 용연1길 29-7www.우일농산.com2023-10-252023년 3차
273제2023-181호주식회사 창애창커튼, 침구, 소품 외 제조업 및 도소매업, 인테리어 공사일자리제공형기타경상북도 안동시 육사로 323, 1층(법흥동)<NA>2023-10-252023년 3차
274제2023-182호주식회사문희환경생활폐기물수집운반, 건설기계도급및대여일자리제공형기타경상북도 문경시 문경읍 주흘로 78<NA>2023-10-252023년 3차
275제2023-183호주식회사시실리잼류, 빵류 제조업, 건물인테리어 및 부대공사업, 유통판매지역사회공헌형기타경상북도 청도군 화양읍 도주관로 188, 186-1<NA>2023-10-252023년 3차
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