Overview

Dataset statistics

Number of variables3
Number of observations160
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.9 KiB
Average record size in memory24.8 B

Variable types

Text2
Categorical1

Dataset

Description청년재직자 내일채움공제 가입자 관리 업무를 수행하는 수행기관의 관할 지역본(지)부별 현황(기관명, 주소지) 정보입니다.
URLhttps://www.data.go.kr/data/15040355/fileData.do

Alerts

수행기관명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:34:25.677534
Analysis finished2023-12-12 08:34:26.179747
Duration0.5 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

수행기관명
Text

UNIQUE 

Distinct160
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T17:34:26.402943image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length19
Mean length11.31875
Min length6

Characters and Unicode

Total characters1811
Distinct characters180
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

Unique160 ?
Unique (%)100.0%

Sample

1st row강릉상공회의소
2nd row사회적협동조합 희망리본
3rd row(사)강원의료기기산업협회
4th row(사)중소기업기술혁신협회강원지회
5th row(사)중소기업융합강원연합회
ValueCountFrequency (%)
사)중소기업기술혁신협회 6
 
2.8%
주)제이엠커리어 6
 
2.8%
사회적협동조합 5
 
2.4%
주)지에스씨넷 4
 
1.9%
주)명은커리어 4
 
1.9%
주)제니엘 4
 
1.9%
주)두원잡 3
 
1.4%
사)중소기업융합 3
 
1.4%
창원지사 2
 
0.9%
퍼스트인잡(주 2
 
0.9%
Other values (163) 173
81.6%
2023-12-12T17:34:26.920595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 105
 
5.8%
( 105
 
5.8%
105
 
5.8%
79
 
4.4%
67
 
3.7%
61
 
3.4%
56
 
3.1%
52
 
2.9%
49
 
2.7%
44
 
2.4%
Other values (170) 1088
60.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1546
85.4%
Close Punctuation 105
 
5.8%
Open Punctuation 105
 
5.8%
Space Separator 52
 
2.9%
Uppercase Letter 2
 
0.1%
Other Symbol 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
105
 
6.8%
79
 
5.1%
67
 
4.3%
61
 
3.9%
56
 
3.6%
49
 
3.2%
44
 
2.8%
42
 
2.7%
38
 
2.5%
37
 
2.4%
Other values (164) 968
62.6%
Uppercase Letter
ValueCountFrequency (%)
T 1
50.0%
I 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 105
100.0%
Open Punctuation
ValueCountFrequency (%)
( 105
100.0%
Space Separator
ValueCountFrequency (%)
52
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1547
85.4%
Common 262
 
14.5%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
105
 
6.8%
79
 
5.1%
67
 
4.3%
61
 
3.9%
56
 
3.6%
49
 
3.2%
44
 
2.8%
42
 
2.7%
38
 
2.5%
37
 
2.4%
Other values (165) 969
62.6%
Common
ValueCountFrequency (%)
) 105
40.1%
( 105
40.1%
52
19.8%
Latin
ValueCountFrequency (%)
T 1
50.0%
I 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1546
85.4%
ASCII 264
 
14.6%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 105
39.8%
( 105
39.8%
52
19.7%
T 1
 
0.4%
I 1
 
0.4%
Hangul
ValueCountFrequency (%)
105
 
6.8%
79
 
5.1%
67
 
4.3%
61
 
3.9%
56
 
3.6%
49
 
3.2%
44
 
2.8%
42
 
2.7%
38
 
2.5%
37
 
2.4%
Other values (164) 968
62.6%
None
ValueCountFrequency (%)
1
100.0%

부서명
Categorical

Distinct32
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
경기북부지부
12 
인천지역본부
 
10
서울북부지부
 
9
서울동남부지부
 
9
서울지역본부
 
8
Other values (27)
112 

Length

Max length7
Median length6
Mean length6.05625
Min length6

Unique

Unique1 ?
Unique (%)0.6%

Sample

1st row강원영동지부
2nd row강원영동지부
3rd row강원지역본부
4th row강원지역본부
5th row강원지역본부

Common Values

ValueCountFrequency (%)
경기북부지부 12
 
7.5%
인천지역본부 10
 
6.2%
서울북부지부 9
 
5.6%
서울동남부지부 9
 
5.6%
서울지역본부 8
 
5.0%
경기지역본부 7
 
4.4%
경기서부지부 6
 
3.8%
부산지역본부 6
 
3.8%
경남지역본부 6
 
3.8%
인천서부지부 6
 
3.8%
Other values (22) 81
50.6%

Length

2023-12-12T17:34:27.116773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
경기북부지부 12
 
7.5%
인천지역본부 10
 
6.2%
서울북부지부 9
 
5.6%
서울동남부지부 9
 
5.6%
서울지역본부 8
 
5.0%
경기지역본부 7
 
4.4%
경기서부지부 6
 
3.8%
부산지역본부 6
 
3.8%
경남지역본부 6
 
3.8%
인천서부지부 6
 
3.8%
Other values (22) 81
50.6%
Distinct157
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T17:34:27.403906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length42
Mean length30.73125
Min length14

Characters and Unicode

Total characters4917
Distinct characters296
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique154 ?
Unique (%)96.2%

Sample

1st row강원도 강릉시 종합운동장길 88 5층
2nd row강원도 강릉시 교동광장로 100번길 17-3 4층
3rd row강원도 원주시 지정면 기업도시로 200 910호(의료기기종합지원센터)
4th row강원도 춘천시 안마산로 262 (퇴계동 1층)
5th row강원도 춘천시 중앙로 54(중앙로2가 우리은행 5층)
ValueCountFrequency (%)
경기도 34
 
3.5%
서울시 14
 
1.4%
인천시 14
 
1.4%
서울특별시 13
 
1.3%
3층 12
 
1.2%
남동구 10
 
1.0%
경상남도 10
 
1.0%
5층 10
 
1.0%
2층 10
 
1.0%
4층 9
 
0.9%
Other values (628) 841
86.1%
2023-12-12T17:34:27.976779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
824
 
16.8%
165
 
3.4%
162
 
3.3%
1 159
 
3.2%
132
 
2.7%
2 128
 
2.6%
124
 
2.5%
3 112
 
2.3%
0 104
 
2.1%
( 98
 
2.0%
Other values (286) 2909
59.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2997
61.0%
Decimal Number 862
 
17.5%
Space Separator 824
 
16.8%
Open Punctuation 98
 
2.0%
Close Punctuation 98
 
2.0%
Dash Punctuation 22
 
0.4%
Uppercase Letter 12
 
0.2%
Math Symbol 3
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
165
 
5.5%
162
 
5.4%
132
 
4.4%
124
 
4.1%
91
 
3.0%
86
 
2.9%
73
 
2.4%
70
 
2.3%
69
 
2.3%
68
 
2.3%
Other values (262) 1957
65.3%
Decimal Number
ValueCountFrequency (%)
1 159
18.4%
2 128
14.8%
3 112
13.0%
0 104
12.1%
4 87
10.1%
5 82
9.5%
8 56
 
6.5%
7 51
 
5.9%
6 47
 
5.5%
9 36
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
B 3
25.0%
E 2
16.7%
W 2
16.7%
S 1
 
8.3%
M 1
 
8.3%
I 1
 
8.3%
A 1
 
8.3%
T 1
 
8.3%
Space Separator
ValueCountFrequency (%)
824
100.0%
Open Punctuation
ValueCountFrequency (%)
( 98
100.0%
Close Punctuation
ValueCountFrequency (%)
) 98
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Math Symbol
ValueCountFrequency (%)
~ 3
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2997
61.0%
Common 1908
38.8%
Latin 12
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
165
 
5.5%
162
 
5.4%
132
 
4.4%
124
 
4.1%
91
 
3.0%
86
 
2.9%
73
 
2.4%
70
 
2.3%
69
 
2.3%
68
 
2.3%
Other values (262) 1957
65.3%
Common
ValueCountFrequency (%)
824
43.2%
1 159
 
8.3%
2 128
 
6.7%
3 112
 
5.9%
0 104
 
5.5%
( 98
 
5.1%
) 98
 
5.1%
4 87
 
4.6%
5 82
 
4.3%
8 56
 
2.9%
Other values (6) 160
 
8.4%
Latin
ValueCountFrequency (%)
B 3
25.0%
E 2
16.7%
W 2
16.7%
S 1
 
8.3%
M 1
 
8.3%
I 1
 
8.3%
A 1
 
8.3%
T 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2997
61.0%
ASCII 1920
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
824
42.9%
1 159
 
8.3%
2 128
 
6.7%
3 112
 
5.8%
0 104
 
5.4%
( 98
 
5.1%
) 98
 
5.1%
4 87
 
4.5%
5 82
 
4.3%
8 56
 
2.9%
Other values (14) 172
 
9.0%
Hangul
ValueCountFrequency (%)
165
 
5.5%
162
 
5.4%
132
 
4.4%
124
 
4.1%
91
 
3.0%
86
 
2.9%
73
 
2.4%
70
 
2.3%
69
 
2.3%
68
 
2.3%
Other values (262) 1957
65.3%

Missing values

2023-12-12T17:34:26.000698image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:34:26.135181image/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

수행기관명부서명사업장 주소
0강릉상공회의소강원영동지부강원도 강릉시 종합운동장길 88 5층
1사회적협동조합 희망리본강원영동지부강원도 강릉시 교동광장로 100번길 17-3 4층
2(사)강원의료기기산업협회강원지역본부강원도 원주시 지정면 기업도시로 200 910호(의료기기종합지원센터)
3(사)중소기업기술혁신협회강원지회강원지역본부강원도 춘천시 안마산로 262 (퇴계동 1층)
4(사)중소기업융합강원연합회강원지역본부강원도 춘천시 중앙로 54(중앙로2가 우리은행 5층)
5사회적협동조합희망리본(춘천)강원지역본부강원도 춘천시 효자로 7-1 (퇴계동 한국노총 2층)
6오산상공회의소경기남부지부경기도 오산시 성호대로 84 2층
7화성상공회의소경기남부지부경기도 화성시 향남읍 토성로 14
8(주)조인스잡경기남부지부경기도 평택시 경기대로 1371 603호 604호(서정동 경성빌딩)
9(사)중소기업기술혁신협회경기동부지부경기도 성남시 분당구 판교로 255 E동 202호(삼평동 판교이노밸리)
수행기관명부서명사업장 주소
150서산상공회의소충남지역본부충청남도 서산시 읍내3로 28 서림빌딩 4층
151충남북부상공회의소충남지역본부충남 천안시 서북구 광장로 215 5층
152당진상공회의소충남지역본부충남 당진시 남부로 256
153충주상공회의소충북북부지부충청북도 충주시 으뜸로 31(금릉동)
154음성상공회의소충북북부지부충청북도 음성군 대소면 대금로 286
155제천단양상공회의소충북북부지부충청북도 제천시 제2바이오밸리로3길 34 2층(왕암동)
156(사)충북경영자총협회충북지역본부충청북도 청주시 흥덕구 직지대로436번길 76(직지스마트타워9층 907호)
157(사)중소기업융합충북연합회충북지역본부충청북도 청주시 흥덕구 직지대로 530(청주테크노S타워 동관 717호)
158(주)지에스씨넷 청주지점충북지역본부충청북도 청주시 서원구 사직대로 95 4층
159(사)중소기업기술혁신협회충북지회충북지역본부충청북도 청주시 청원구 오창읍 중심상업2로 48 충북지방중소벤처기업청