Overview

Dataset statistics

Number of variables4
Number of observations28
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.0 KiB
Average record size in memory36.7 B

Variable types

Text3
Categorical1

Dataset

Description경상북도 내 청년창업지원 정보를 제공합니다.(경상북도 청년CEO육성사업 주관기관의 지자체명, 주관기관명,지원내용, 연락처 현황입니다. )
Author경상북도
URLhttps://www.data.go.kr/data/15063298/fileData.do

Alerts

지원내용 has constant value ""Constant

Reproduction

Analysis started2023-12-12 18:03:28.661246
Analysis finished2023-12-12 18:03:29.025849
Duration0.36 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지자체명
Text

Distinct23
Distinct (%)82.1%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-13T03:03:29.137267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length3
Mean length3.0714286
Min length3

Characters and Unicode

Total characters86
Distinct characters34
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

Unique20 ?
Unique (%)71.4%

Sample

1st row경상북도
2nd row경상북도
3rd row포항시
4th row경주시
5th row김천시
ValueCountFrequency (%)
경산시 4
 
14.3%
경상북도 2
 
7.1%
안동시 2
 
7.1%
군위군 1
 
3.6%
청송군 1
 
3.6%
봉화군 1
 
3.6%
예천군 1
 
3.6%
칠곡군 1
 
3.6%
성주군 1
 
3.6%
고령군 1
 
3.6%
Other values (13) 13
46.4%
2023-12-13T03:03:29.458710image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
시 14
16.3%
군 13
15.1%
경 8
 
9.3%
산 4
 
4.7%
영 4
 
4.7%
주 4
 
4.7%
상 3
 
3.5%
천 3
 
3.5%
도 3
 
3.5%
북 2
 
2.3%
Other values (24) 28
32.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 86
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 14
16.3%
군 13
15.1%
경 8
 
9.3%
산 4
 
4.7%
영 4
 
4.7%
주 4
 
4.7%
상 3
 
3.5%
천 3
 
3.5%
도 3
 
3.5%
북 2
 
2.3%
Other values (24) 28
32.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 86
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 14
16.3%
군 13
15.1%
경 8
 
9.3%
산 4
 
4.7%
영 4
 
4.7%
주 4
 
4.7%
상 3
 
3.5%
천 3
 
3.5%
도 3
 
3.5%
북 2
 
2.3%
Other values (24) 28
32.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 86
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
시 14
16.3%
군 13
15.1%
경 8
 
9.3%
산 4
 
4.7%
영 4
 
4.7%
주 4
 
4.7%
상 3
 
3.5%
천 3
 
3.5%
도 3
 
3.5%
북 2
 
2.3%
Other values (24) 28
32.6%

주관기관
Text

Distinct24
Distinct (%)85.7%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-13T03:03:29.678883image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length9
Mean length10.321429
Min length8

Characters and Unicode

Total characters289
Distinct characters67
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

Unique20 ?
Unique (%)71.4%

Sample

1st row경북테크노파크 청년창업지원센터
2nd row북부권청년창업지원센터
3rd row선린대 산학협력단
4th row위덕대 산학협력단
5th row김천대 산학협력단
ValueCountFrequency (%)
산학협력단 20
38.5%
안동대 3
 
5.8%
위덕대 2
 
3.8%
동양대 2
 
3.8%
경북대 2
 
3.8%
안동과학대 2
 
3.8%
대경대 1
 
1.9%
청년창업지원센터 1
 
1.9%
경북테크노파크 1
 
1.9%
대구한의대 1
 
1.9%
Other values (17) 17
32.7%
2023-12-13T03:03:30.010511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 28
 
9.7%
학 27
 
9.3%
26
 
9.0%
산 22
 
7.6%
력 21
 
7.3%
단 21
 
7.3%
협 20
 
6.9%
경 11
 
3.8%
북 7
 
2.4%
동 7
 
2.4%
Other values (57) 99
34.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 261
90.3%
Space Separator 26
 
9.0%
Open Punctuation 1
 
0.3%
Close Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 28
 
10.7%
학 27
 
10.3%
산 22
 
8.4%
력 21
 
8.0%
단 21
 
8.0%
협 20
 
7.7%
경 11
 
4.2%
북 7
 
2.7%
동 7
 
2.7%
원 5
 
1.9%
Other values (54) 92
35.2%
Space Separator
ValueCountFrequency (%)
26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 261
90.3%
Common 28
 
9.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 28
 
10.7%
학 27
 
10.3%
산 22
 
8.4%
력 21
 
8.0%
단 21
 
8.0%
협 20
 
7.7%
경 11
 
4.2%
북 7
 
2.7%
동 7
 
2.7%
원 5
 
1.9%
Other values (54) 92
35.2%
Common
ValueCountFrequency (%)
26
92.9%
( 1
 
3.6%
) 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 261
90.3%
ASCII 28
 
9.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 28
 
10.7%
학 27
 
10.3%
산 22
 
8.4%
력 21
 
8.0%
단 21
 
8.0%
협 20
 
7.7%
경 11
 
4.2%
북 7
 
2.7%
동 7
 
2.7%
원 5
 
1.9%
Other values (54) 92
35.2%
ASCII
ValueCountFrequency (%)
26
92.9%
( 1
 
3.6%
) 1
 
3.6%

지원내용
Categorical

CONSTANT 

Distinct1
Distinct (%)3.6%
Missing0
Missing (%)0.0%
Memory size356.0 B
시설지원_ 재정지원_ 창업교육 및 멘토링 지원_ 창업지원
28 

Length

Max length31
Median length31
Mean length31
Min length31

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row시설지원_ 재정지원_ 창업교육 및 멘토링 지원_ 창업지원
2nd row시설지원_ 재정지원_ 창업교육 및 멘토링 지원_ 창업지원
3rd row시설지원_ 재정지원_ 창업교육 및 멘토링 지원_ 창업지원
4th row시설지원_ 재정지원_ 창업교육 및 멘토링 지원_ 창업지원
5th row시설지원_ 재정지원_ 창업교육 및 멘토링 지원_ 창업지원

Common Values

ValueCountFrequency (%)
시설지원_ 재정지원_ 창업교육 및 멘토링 지원_ 창업지원 28
100.0%

Length

2023-12-13T03:03:30.160672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:03:30.277899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시설지원 28
14.3%
재정지원 28
14.3%
창업교육 28
14.3%
및 28
14.3%
멘토링 28
14.3%
지원 28
14.3%
창업지원 28
14.3%

연락처
Text

Distinct21
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size356.0 B
2023-12-13T03:03:30.459007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters336
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique15 ?
Unique (%)53.6%

Sample

1st row053-819-3073
2nd row054-820-7418
3rd row054-260-5032
4th row054-760-1385
5th row054-420-4408
ValueCountFrequency (%)
054-760-1385 3
 
10.7%
054-851-3521 2
 
7.1%
054-630-1309 2
 
7.1%
053-850-1327 2
 
7.1%
053-600-4592 2
 
7.1%
054-820-7184 2
 
7.1%
053-950-2377 1
 
3.6%
053-819-3073 1
 
3.6%
053-850-3863 1
 
3.6%
054-478-6903 1
 
3.6%
Other values (11) 11
39.3%
2023-12-13T03:03:30.826751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 59
17.6%
- 56
16.7%
5 55
16.4%
4 30
8.9%
3 30
8.9%
1 25
7.4%
8 23
 
6.8%
2 16
 
4.8%
9 15
 
4.5%
7 14
 
4.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 280
83.3%
Dash Punctuation 56
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 59
21.1%
5 55
19.6%
4 30
10.7%
3 30
10.7%
1 25
8.9%
8 23
 
8.2%
2 16
 
5.7%
9 15
 
5.4%
7 14
 
5.0%
6 13
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 336
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 59
17.6%
- 56
16.7%
5 55
16.4%
4 30
8.9%
3 30
8.9%
1 25
7.4%
8 23
 
6.8%
2 16
 
4.8%
9 15
 
4.5%
7 14
 
4.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 336
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 59
17.6%
- 56
16.7%
5 55
16.4%
4 30
8.9%
3 30
8.9%
1 25
7.4%
8 23
 
6.8%
2 16
 
4.8%
9 15
 
4.5%
7 14
 
4.2%

Correlations

2023-12-13T03:03:30.961980image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
지자체명주관기관연락처
지자체명1.0000.6340.579
주관기관0.6341.0000.987
연락처0.5790.9871.000

Missing values

2023-12-13T03:03:28.880530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:03:28.981083image/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

지자체명주관기관지원내용연락처
0경상북도경북테크노파크 청년창업지원센터시설지원_ 재정지원_ 창업교육 및 멘토링 지원_ 창업지원053-819-3073
1경상북도북부권청년창업지원센터시설지원_ 재정지원_ 창업교육 및 멘토링 지원_ 창업지원054-820-7418
2포항시선린대 산학협력단시설지원_ 재정지원_ 창업교육 및 멘토링 지원_ 창업지원054-260-5032
3경주시위덕대 산학협력단시설지원_ 재정지원_ 창업교육 및 멘토링 지원_ 창업지원054-760-1385
4김천시김천대 산학협력단시설지원_ 재정지원_ 창업교육 및 멘토링 지원_ 창업지원054-420-4408
5안동시안동대 산학협력단시설지원_ 재정지원_ 창업교육 및 멘토링 지원_ 창업지원054-820-7184
6안동시안동과학대 산학협력단시설지원_ 재정지원_ 창업교육 및 멘토링 지원_ 창업지원054-851-3521
7구미시구미전자정보기술원시설지원_ 재정지원_ 창업교육 및 멘토링 지원_ 창업지원054-465-7992
8영주시동양대 산학협력단시설지원_ 재정지원_ 창업교육 및 멘토링 지원_ 창업지원054-630-1309
9영천시(재)경북차량용임베디드기술연구원시설지원_ 재정지원_ 창업교육 및 멘토링 지원_ 창업지원054-339-0052
지자체명주관기관지원내용연락처
18청송군안동과학대 창업보육센터시설지원_ 재정지원_ 창업교육 및 멘토링 지원_ 창업지원054-851-3521
19영양군안동대 창업지원센터시설지원_ 재정지원_ 창업교육 및 멘토링 지원_ 창업지원054-820-6919
20영덕군위덕대학교 산학협력단시설지원_ 재정지원_ 창업교육 및 멘토링 지원_ 창업지원054-760-1385
21청도군대경대학교 산학협력단시설지원_ 재정지원_ 창업교육 및 멘토링 지원_ 창업지원053-850-1327
22고령군경일대학교 산학협력단시설지원_ 재정지원_ 창업교육 및 멘토링 지원_ 창업지원053-600-4592
23성주군경북산학융합본부시설지원_ 재정지원_ 창업교육 및 멘토링 지원_ 창업지원054-478-6903
24칠곡군경일대 산학협력단시설지원_ 재정지원_ 창업교육 및 멘토링 지원_ 창업지원053-600-4592
25예천군경북도립대 산학협력단시설지원_ 재정지원_ 창업교육 및 멘토링 지원_ 창업지원054-650-0151
26봉화군동양대 산학협력단시설지원_ 재정지원_ 창업교육 및 멘토링 지원_ 창업지원054-630-1309
27울진군위덕대 산학협력단시설지원_ 재정지원_ 창업교육 및 멘토링 지원_ 창업지원054-760-1385