Overview

Dataset statistics

Number of variables9
Number of observations148
Missing cells0
Missing cells (%)0.0%
Duplicate rows1
Duplicate rows (%)0.7%
Total size in memory10.5 KiB
Average record size in memory72.9 B

Variable types

Categorical4
Text4
DateTime1

Dataset

Description서울특별시 용산구 협동조합 현황(협동조합 구분, 협동조합명, 수리(인가), 업종, 유형, 주요사업, 주소, 관리기관, 관리기관전화번호)에 대한 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15090483/fileData.do

Alerts

관리기관 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
Dataset has 1 (0.7%) duplicate rowsDuplicates
구분 is highly overall correlated with 유형High correlation
유형 is highly overall correlated with 구분High correlation

Reproduction

Analysis started2023-12-12 00:21:45.254829
Analysis finished2023-12-12 00:21:46.338074
Duration1.08 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
일반협동조합
114 
사회적협동조합
34 

Length

Max length7
Median length6
Mean length6.2297297
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
일반협동조합 114
77.0%
사회적협동조합 34
 
23.0%

Length

2023-12-12T09:21:46.412286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:21:46.532783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반협동조합 114
77.0%
사회적협동조합 34
 
23.0%

협동조합명
Text

Distinct147
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T09:21:46.827041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length18
Mean length11.135135
Min length6

Characters and Unicode

Total characters1648
Distinct characters310
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

Unique146 ?
Unique (%)98.6%

Sample

1st row사회적협동조합 온기가득
2nd row사회적협동조합 혜빛
3rd row사회적협동조합 태후
4th row고래이야기 사회적협동조합
5th row사회적협동조합 제이제이
ValueCountFrequency (%)
사회적협동조합 28
 
15.6%
한국비영리회계프로그램사업자협동조합 2
 
1.1%
한양청소및건물관리협동조합 1
 
0.6%
한국자연요법치유사협동조합 1
 
0.6%
한국아이티판매협동조합 1
 
0.6%
전국종합무도인협동조합 1
 
0.6%
에스에이(sa)결혼중매협동조합 1
 
0.6%
마당협동조합 1
 
0.6%
에코푸드협동조합 1
 
0.6%
언론협동조합nk투데이 1
 
0.6%
Other values (141) 141
78.8%
2023-12-12T09:21:47.314211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 157
 
9.5%
합 150
 
9.1%
조 150
 
9.1%
협 149
 
9.0%
사 51
 
3.1%
회 36
 
2.2%
적 34
 
2.1%
31
 
1.9%
이 24
 
1.5%
한 24
 
1.5%
Other values (300) 842
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1568
95.1%
Space Separator 31
 
1.9%
Decimal Number 15
 
0.9%
Uppercase Letter 15
 
0.9%
Lowercase Letter 10
 
0.6%
Open Punctuation 4
 
0.2%
Close Punctuation 4
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 157
 
10.0%
합 150
 
9.6%
조 150
 
9.6%
협 149
 
9.5%
사 51
 
3.3%
회 36
 
2.3%
적 34
 
2.2%
이 24
 
1.5%
한 24
 
1.5%
리 21
 
1.3%
Other values (271) 772
49.2%
Uppercase Letter
ValueCountFrequency (%)
S 3
20.0%
D 2
13.3%
C 2
13.3%
T 2
13.3%
G 2
13.3%
N 1
 
6.7%
A 1
 
6.7%
K 1
 
6.7%
L 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
0 5
33.3%
3 2
 
13.3%
2 2
 
13.3%
9 2
 
13.3%
1 1
 
6.7%
5 1
 
6.7%
4 1
 
6.7%
6 1
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
i 2
20.0%
p 2
20.0%
a 1
10.0%
c 1
10.0%
w 1
10.0%
n 1
10.0%
o 1
10.0%
r 1
10.0%
Space Separator
ValueCountFrequency (%)
31
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1568
95.1%
Common 55
 
3.3%
Latin 25
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 157
 
10.0%
합 150
 
9.6%
조 150
 
9.6%
협 149
 
9.5%
사 51
 
3.3%
회 36
 
2.3%
적 34
 
2.2%
이 24
 
1.5%
한 24
 
1.5%
리 21
 
1.3%
Other values (271) 772
49.2%
Latin
ValueCountFrequency (%)
S 3
12.0%
D 2
 
8.0%
C 2
 
8.0%
T 2
 
8.0%
i 2
 
8.0%
p 2
 
8.0%
G 2
 
8.0%
N 1
 
4.0%
A 1
 
4.0%
K 1
 
4.0%
Other values (7) 7
28.0%
Common
ValueCountFrequency (%)
31
56.4%
0 5
 
9.1%
( 4
 
7.3%
) 4
 
7.3%
3 2
 
3.6%
2 2
 
3.6%
9 2
 
3.6%
. 1
 
1.8%
1 1
 
1.8%
5 1
 
1.8%
Other values (2) 2
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1568
95.1%
ASCII 80
 
4.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 157
 
10.0%
합 150
 
9.6%
조 150
 
9.6%
협 149
 
9.5%
사 51
 
3.3%
회 36
 
2.3%
적 34
 
2.2%
이 24
 
1.5%
한 24
 
1.5%
리 21
 
1.3%
Other values (271) 772
49.2%
ASCII
ValueCountFrequency (%)
31
38.8%
0 5
 
6.2%
( 4
 
5.0%
) 4
 
5.0%
S 3
 
3.8%
3 2
 
2.5%
D 2
 
2.5%
C 2
 
2.5%
T 2
 
2.5%
i 2
 
2.5%
Other values (19) 23
28.7%

수리(인가)일
Date

Distinct135
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
Minimum2013-01-08 00:00:00
Maximum2023-06-15 00:00:00
2023-12-12T09:21:47.459643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:21:47.594933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업종
Text

Distinct113
Distinct (%)76.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T09:21:47.911477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length20
Mean length9.1486486
Min length1

Characters and Unicode

Total characters1354
Distinct characters205
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

Unique102 ?
Unique (%)68.9%

Sample

1st row숙박 및 음식점업
2nd row숙박 및 음식점업
3rd row보건업 및 사회복지서비스업
4th row교육 서비스업
5th row숙박 및 음식점업
ValueCountFrequency (%)
및 45
 
12.9%
사업 12
 
3.4%
보건업 12
 
3.4%
사회복지서비스업 12
 
3.4%
교육 11
 
3.2%
숙박 10
 
2.9%
음식점업 10
 
2.9%
서비스업 9
 
2.6%
등 6
 
1.7%
판매사업 5
 
1.4%
Other values (174) 216
62.1%
2023-12-12T09:21:48.365820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
200
 
14.8%
업 111
 
8.2%
사 54
 
4.0%
및 46
 
3.4%
비 34
 
2.5%
스 34
 
2.5%
서 33
 
2.4%
, 29
 
2.1%
회 20
 
1.5%
매 20
 
1.5%
Other values (195) 773
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1113
82.2%
Space Separator 200
 
14.8%
Other Punctuation 31
 
2.3%
Close Punctuation 3
 
0.2%
Open Punctuation 3
 
0.2%
Lowercase Letter 2
 
0.1%
Decimal Number 1
 
0.1%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 111
 
10.0%
사 54
 
4.9%
및 46
 
4.1%
비 34
 
3.1%
스 34
 
3.1%
서 33
 
3.0%
회 20
 
1.8%
매 20
 
1.8%
건 19
 
1.7%
교 18
 
1.6%
Other values (185) 724
65.0%
Other Punctuation
ValueCountFrequency (%)
, 29
93.5%
. 1
 
3.2%
/ 1
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
c 1
50.0%
p 1
50.0%
Space Separator
ValueCountFrequency (%)
200
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Decimal Number
ValueCountFrequency (%)
3 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1113
82.2%
Common 238
 
17.6%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 111
 
10.0%
사 54
 
4.9%
및 46
 
4.1%
비 34
 
3.1%
스 34
 
3.1%
서 33
 
3.0%
회 20
 
1.8%
매 20
 
1.8%
건 19
 
1.7%
교 18
 
1.6%
Other values (185) 724
65.0%
Common
ValueCountFrequency (%)
200
84.0%
, 29
 
12.2%
) 3
 
1.3%
( 3
 
1.3%
3 1
 
0.4%
. 1
 
0.4%
/ 1
 
0.4%
Latin
ValueCountFrequency (%)
c 1
33.3%
p 1
33.3%
D 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1113
82.2%
ASCII 241
 
17.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
200
83.0%
, 29
 
12.0%
) 3
 
1.2%
( 3
 
1.2%
3 1
 
0.4%
c 1
 
0.4%
p 1
 
0.4%
. 1
 
0.4%
D 1
 
0.4%
/ 1
 
0.4%
Hangul
ValueCountFrequency (%)
업 111
 
10.0%
사 54
 
4.9%
및 46
 
4.1%
비 34
 
3.1%
스 34
 
3.1%
서 33
 
3.0%
회 20
 
1.8%
매 20
 
1.8%
건 19
 
1.7%
교 18
 
1.6%
Other values (185) 724
65.0%

유형
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)2.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
사업자
96 
다중이해관계자
45 
직원
 
5
소비자
 
2

Length

Max length7
Median length3
Mean length4.1824324
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
사업자 96
64.9%
다중이해관계자 45
30.4%
직원 5
 
3.4%
소비자 2
 
1.4%

Length

2023-12-12T09:21:48.505182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:21:48.615960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
사업자 96
64.9%
다중이해관계자 45
30.4%
직원 5
 
3.4%
소비자 2
 
1.4%

주요사업
Text

Distinct147
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T09:21:48.857743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length69
Median length47
Mean length21.459459
Min length4

Characters and Unicode

Total characters3176
Distinct characters323
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique146 ?
Unique (%)98.6%

Sample

1st row한식업을 통한 자립준비청년 일자리 창출사업
2nd row장애인고용 베이커리운영
3rd row한식당 운영을 통한 노인일자리 창출
4th row도서관활성화사업
5th row보호종료아동 일자리 창출을 위한 카페 및 베이커리 운영, 직업체험 및 훈련지원 사업
ValueCountFrequency (%)
및 64
 
8.4%
사업 37
 
4.9%
등 27
 
3.6%
운영 15
 
2.0%
위한 10
 
1.3%
교육 9
 
1.2%
컨설팅 7
 
0.9%
개발 7
 
0.9%
판매사업 7
 
0.9%
공동 6
 
0.8%
Other values (443) 571
75.1%
2023-12-12T09:21:49.277678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
613
 
19.3%
업 151
 
4.8%
사 144
 
4.5%
, 87
 
2.7%
및 67
 
2.1%
지 48
 
1.5%
인 45
 
1.4%
공 45
 
1.4%
자 41
 
1.3%
동 40
 
1.3%
Other values (313) 1895
59.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2427
76.4%
Space Separator 613
 
19.3%
Other Punctuation 108
 
3.4%
Decimal Number 8
 
0.3%
Uppercase Letter 7
 
0.2%
Lowercase Letter 6
 
0.2%
Open Punctuation 3
 
0.1%
Close Punctuation 3
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 151
 
6.2%
사 144
 
5.9%
및 67
 
2.8%
지 48
 
2.0%
인 45
 
1.9%
공 45
 
1.9%
자 41
 
1.7%
동 40
 
1.6%
리 33
 
1.4%
매 32
 
1.3%
Other values (289) 1781
73.4%
Other Punctuation
ValueCountFrequency (%)
, 87
80.6%
. 10
 
9.3%
/ 6
 
5.6%
· 2
 
1.9%
' 2
 
1.9%
& 1
 
0.9%
Uppercase Letter
ValueCountFrequency (%)
R 2
28.6%
P 1
14.3%
C 1
14.3%
V 1
14.3%
K 1
14.3%
A 1
14.3%
Lowercase Letter
ValueCountFrequency (%)
o 2
33.3%
d 1
16.7%
c 1
16.7%
f 1
16.7%
p 1
16.7%
Decimal Number
ValueCountFrequency (%)
1 3
37.5%
2 3
37.5%
3 2
25.0%
Space Separator
ValueCountFrequency (%)
613
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2427
76.4%
Common 736
 
23.2%
Latin 13
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 151
 
6.2%
사 144
 
5.9%
및 67
 
2.8%
지 48
 
2.0%
인 45
 
1.9%
공 45
 
1.9%
자 41
 
1.7%
동 40
 
1.6%
리 33
 
1.4%
매 32
 
1.3%
Other values (289) 1781
73.4%
Common
ValueCountFrequency (%)
613
83.3%
, 87
 
11.8%
. 10
 
1.4%
/ 6
 
0.8%
1 3
 
0.4%
2 3
 
0.4%
( 3
 
0.4%
) 3
 
0.4%
· 2
 
0.3%
3 2
 
0.3%
Other values (3) 4
 
0.5%
Latin
ValueCountFrequency (%)
R 2
15.4%
o 2
15.4%
d 1
7.7%
c 1
7.7%
f 1
7.7%
P 1
7.7%
C 1
7.7%
p 1
7.7%
V 1
7.7%
K 1
7.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2427
76.4%
ASCII 747
 
23.5%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
613
82.1%
, 87
 
11.6%
. 10
 
1.3%
/ 6
 
0.8%
1 3
 
0.4%
2 3
 
0.4%
( 3
 
0.4%
) 3
 
0.4%
R 2
 
0.3%
o 2
 
0.3%
Other values (13) 15
 
2.0%
Hangul
ValueCountFrequency (%)
업 151
 
6.2%
사 144
 
5.9%
및 67
 
2.8%
지 48
 
2.0%
인 45
 
1.9%
공 45
 
1.9%
자 41
 
1.7%
동 40
 
1.6%
리 33
 
1.4%
매 32
 
1.3%
Other values (289) 1781
73.4%
None
ValueCountFrequency (%)
· 2
100.0%

주소
Text

Distinct145
Distinct (%)98.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T09:21:49.538320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length41
Mean length31.689189
Min length21

Characters and Unicode

Total characters4690
Distinct characters184
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

Unique142 ?
Unique (%)95.9%

Sample

1st row서울특별시 용산구 신흥로7길 43 1층
2nd row서울특별시 용산구 신흥로12길 5 1층
3rd row서울특별시 용산구 신흥로7길 14-7 1층
4th row서울특별시 용산구 효창원로 157 효창맨션 1층 고래이야기 작은도서관
5th row서울특별시 용산구 신흥로25가길 18 1층
ValueCountFrequency (%)
서울특별시 148
 
16.7%
용산구 148
 
16.7%
1층 15
 
1.7%
2층 13
 
1.5%
원효로1가 13
 
1.5%
한남동 12
 
1.4%
한강로3가 12
 
1.4%
후암동 11
 
1.2%
3층 11
 
1.2%
한강대로 10
 
1.1%
Other values (316) 494
55.7%
2023-12-12T09:21:49.979243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
739
 
15.8%
로 191
 
4.1%
1 189
 
4.0%
용 171
 
3.6%
산 166
 
3.5%
서 165
 
3.5%
시 151
 
3.2%
특 149
 
3.2%
별 149
 
3.2%
울 149
 
3.2%
Other values (174) 2471
52.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2715
57.9%
Decimal Number 806
 
17.2%
Space Separator 739
 
15.8%
Open Punctuation 137
 
2.9%
Close Punctuation 137
 
2.9%
Other Punctuation 104
 
2.2%
Dash Punctuation 41
 
0.9%
Uppercase Letter 11
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 191
 
7.0%
용 171
 
6.3%
산 166
 
6.1%
서 165
 
6.1%
시 151
 
5.6%
특 149
 
5.5%
별 149
 
5.5%
울 149
 
5.5%
구 148
 
5.5%
동 103
 
3.8%
Other values (156) 1173
43.2%
Decimal Number
ValueCountFrequency (%)
1 189
23.4%
2 143
17.7%
3 93
11.5%
0 85
10.5%
4 68
 
8.4%
5 59
 
7.3%
6 49
 
6.1%
7 42
 
5.2%
9 41
 
5.1%
8 37
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
A 4
36.4%
B 4
36.4%
C 3
27.3%
Space Separator
ValueCountFrequency (%)
739
100.0%
Open Punctuation
ValueCountFrequency (%)
( 137
100.0%
Close Punctuation
ValueCountFrequency (%)
) 137
100.0%
Other Punctuation
ValueCountFrequency (%)
, 104
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 41
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2715
57.9%
Common 1964
41.9%
Latin 11
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 191
 
7.0%
용 171
 
6.3%
산 166
 
6.1%
서 165
 
6.1%
시 151
 
5.6%
특 149
 
5.5%
별 149
 
5.5%
울 149
 
5.5%
구 148
 
5.5%
동 103
 
3.8%
Other values (156) 1173
43.2%
Common
ValueCountFrequency (%)
739
37.6%
1 189
 
9.6%
2 143
 
7.3%
( 137
 
7.0%
) 137
 
7.0%
, 104
 
5.3%
3 93
 
4.7%
0 85
 
4.3%
4 68
 
3.5%
5 59
 
3.0%
Other values (5) 210
 
10.7%
Latin
ValueCountFrequency (%)
A 4
36.4%
B 4
36.4%
C 3
27.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2715
57.9%
ASCII 1975
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
739
37.4%
1 189
 
9.6%
2 143
 
7.2%
( 137
 
6.9%
) 137
 
6.9%
, 104
 
5.3%
3 93
 
4.7%
0 85
 
4.3%
4 68
 
3.4%
5 59
 
3.0%
Other values (8) 221
 
11.2%
Hangul
ValueCountFrequency (%)
로 191
 
7.0%
용 171
 
6.3%
산 166
 
6.1%
서 165
 
6.1%
시 151
 
5.6%
특 149
 
5.5%
별 149
 
5.5%
울 149
 
5.5%
구 148
 
5.5%
동 103
 
3.8%
Other values (156) 1173
43.2%

관리기관
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
용산구청 일자리정책담당관
148 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row용산구청 일자리정책담당관
2nd row용산구청 일자리정책담당관
3rd row용산구청 일자리정책담당관
4th row용산구청 일자리정책담당관
5th row용산구청 일자리정책담당관

Common Values

ValueCountFrequency (%)
용산구청 일자리정책담당관 148
100.0%

Length

2023-12-12T09:21:50.114540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:21:50.233297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
용산구청 148
50.0%
일자리정책담당관 148
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
02-2199-4533
148 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02-2199-4533
2nd row02-2199-4533
3rd row02-2199-4533
4th row02-2199-4533
5th row02-2199-4533

Common Values

ValueCountFrequency (%)
02-2199-4533 148
100.0%

Length

2023-12-12T09:21:50.349892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:21:50.447256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02-2199-4533 148
100.0%

Correlations

2023-12-12T09:21:50.517041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분유형
구분1.0000.961
유형0.9611.000
2023-12-12T09:21:50.606021image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분유형
구분1.0000.817
유형0.8171.000
2023-12-12T09:21:50.685700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분유형
구분1.0000.817
유형0.8171.000

Missing values

2023-12-12T09:21:46.120580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:21:46.274406image/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

구분협동조합명수리(인가)일업종유형주요사업주소관리기관관리기관전화번호
0사회적협동조합사회적협동조합 온기가득2023-06-03숙박 및 음식점업다중이해관계자한식업을 통한 자립준비청년 일자리 창출사업서울특별시 용산구 신흥로7길 43 1층용산구청 일자리정책담당관02-2199-4533
1사회적협동조합사회적협동조합 혜빛2023-06-15숙박 및 음식점업다중이해관계자장애인고용 베이커리운영서울특별시 용산구 신흥로12길 5 1층용산구청 일자리정책담당관02-2199-4533
2사회적협동조합사회적협동조합 태후2023-05-31보건업 및 사회복지서비스업다중이해관계자한식당 운영을 통한 노인일자리 창출서울특별시 용산구 신흥로7길 14-7 1층용산구청 일자리정책담당관02-2199-4533
3사회적협동조합고래이야기 사회적협동조합2023-04-25교육 서비스업다중이해관계자도서관활성화사업서울특별시 용산구 효창원로 157 효창맨션 1층 고래이야기 작은도서관용산구청 일자리정책담당관02-2199-4533
4사회적협동조합사회적협동조합 제이제이2023-04-03숙박 및 음식점업다중이해관계자보호종료아동 일자리 창출을 위한 카페 및 베이커리 운영, 직업체험 및 훈련지원 사업서울특별시 용산구 신흥로25가길 18 1층용산구청 일자리정책담당관02-2199-4533
5사회적협동조합사회적협동조합 한수2023-03-07숙박 및 음식점업다중이해관계자취약계층 고용 식당운영서울특별시 용산구 신흥로7길 40 1층용산구청 일자리정책담당관02-2199-4533
6사회적협동조합사회적협동조합 우정2023-01-12숙박 및 음식점업다중이해관계자카페운영사업, 바리스타 교육서울특별시 용산구 신흥로 115-3 1층용산구청 일자리정책담당관02-2199-4533
7사회적협동조합사회적협동조합 어울림와이제이2022-12-20숙박 및 음식점업다중이해관계자한식업을 통한 장애인일자리 창출서울특별시 용산구 신흥로7길 24 1층용산구청 일자리정책담당관02-2199-4533
8사회적협동조합사회적협동조합 징검다리2022-12-28숙박 및 음식점업다중이해관계자자립준비청년 일자리 창출 사업서울특별시 용산구 신흥로5길 6-2 1층용산구청 일자리정책담당관02-2199-4533
9사회적협동조합사회적협동조합 느루2022-12-09숙박 및 음식점업다중이해관계자실버카페 운영서울특별시 용산구 신흥로11나길 19(용산동2가)용산구청 일자리정책담당관02-2199-4533
구분협동조합명수리(인가)일업종유형주요사업주소관리기관관리기관전화번호
138일반협동조합협동조합인재개발뱅크2013-02-12자활사업사업자일자리창출위한 자활사업 등서울특별시 용산구 백범로51길 3 (효창동)용산구청 일자리정책담당관02-2199-4533
139일반협동조합아름다운거리조성협동조합2013-02-08광고간판업, 인테리어사업자광고간판업자의 공동이익실현서울특별시 용산구 새창로 108, 지하층 (용문동)용산구청 일자리정책담당관02-2199-4533
140일반협동조합한국신교협동조합2013-02-06종교업사업자신교활동 활성화서울특별시 용산구 백범로87길 22 (원효로1가)용산구청 일자리정책담당관02-2199-4533
141일반협동조합민간조사관및경비경호사업협동조합2013-01-08민간조사업, 경비경호업사업자민간조사원, 경비경호사 권익증진, 국내 민간조사 및 경호산업 정착화서울특별시 용산구 한강로1가 151번지 1호용산구청 일자리정책담당관02-2199-4533
142일반협동조합피어라풀꽃협동조합2013-08-19유통사업자도농직거래서울특별시 용산구 효창원로 157 (효창동)용산구청 일자리정책담당관02-2199-4533
143일반협동조합다같이놀자공동육아협동조합2013-11-06보육사업자문턱낮은 어린이집 사업서울특별시 용산구 원효로81길 20-6 (원효로1가)용산구청 일자리정책담당관02-2199-4533
144일반협동조합마케팅유통협동조합2013-10-01마케팅사업자중소사업자 판로개척 지원서울특별시 용산구 원효로1가 25번지 신관 503호용산구청 일자리정책담당관02-2199-4533
145일반협동조합법률소비자협동조합2013-10-01법률사업자법률지식 능력 공유서울특별시 용산구 원효로1가 25번지 청년창업플러스센터 A315용산구청 일자리정책담당관02-2199-4533
146일반협동조합용산마을신문협동조합2013-09-16언론사업자주민이 직접 만드는 신문서울특별시 용산구 임정로 63 (효창동)용산구청 일자리정책담당관02-2199-4533
147일반협동조합협동조합마을공방사이2013-07-19제조사업자원목가구 제조, 폐가구 재생 등서울특별시 용산구 원효로93길 22 (원효로1가)용산구청 일자리정책담당관02-2199-4533

Duplicate rows

Most frequently occurring

구분협동조합명수리(인가)일업종유형주요사업주소관리기관관리기관전화번호# duplicates
0일반협동조합한국비영리회계프로그램사업자협동조합2018-10-08어린이집 회계프로그램 사업사업자어린이집 회계프로그램 사업서울특별시 용산구 원효로97길 4, 동진빌딩 (청파동3가)용산구청 일자리정책담당관02-2199-45332