Overview

Dataset statistics

Number of variables3
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory948.0 B
Average record size in memory27.9 B

Variable types

Text2
Boolean1

Dataset

Description한국장학재단의 효율적인 홍보대상 통지관리를 위하여 홍보 주체에 따른 언론사, 매체사, 특정사업을 그룹별로 분류하고 있는 데이터 입니다.
URLhttps://www.data.go.kr/data/15117221/fileData.do

Alerts

사용여부 has constant value ""Constant
홍보대상분류명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:53:47.374944
Analysis finished2023-12-12 22:53:47.992022
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

홍보대상분류명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-13T07:53:48.159458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length9.2352941
Min length2

Characters and Unicode

Total characters314
Distinct characters90
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row전제임직원(190613)
2nd row광고매체언론
3rd row보도자료테스트그룹
4th row교육부출입기자
5th row기자
ValueCountFrequency (%)
전제임직원(190613 1
 
2.9%
광고매체언론 1
 
2.9%
제12기대학생홍보대사 1
 
2.9%
2018년수기공모전시상식참여자 1
 
2.9%
임시발송 1
 
2.9%
제11기대학생홍보대사(신청자 1
 
2.9%
설문조사링크발송 1
 
2.9%
제11기대학생홍보대사(합격자 1
 
2.9%
광주언론사기자 1
 
2.9%
멘티 1
 
2.9%
Other values (24) 24
70.6%
2023-12-13T07:53:48.559176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 27
 
8.6%
기 22
 
7.0%
학 14
 
4.5%
( 14
 
4.5%
사 14
 
4.5%
보 14
 
4.5%
) 14
 
4.5%
제 13
 
4.1%
홍 13
 
4.1%
자 12
 
3.8%
Other values (80) 157
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 248
79.0%
Decimal Number 37
 
11.8%
Open Punctuation 14
 
4.5%
Close Punctuation 14
 
4.5%
Control 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 27
 
10.9%
기 22
 
8.9%
학 14
 
5.6%
사 14
 
5.6%
보 14
 
5.6%
제 13
 
5.2%
홍 13
 
5.2%
자 12
 
4.8%
생 12
 
4.8%
전 5
 
2.0%
Other values (69) 102
41.1%
Decimal Number
ValueCountFrequency (%)
1 12
32.4%
9 10
27.0%
2 5
13.5%
0 5
13.5%
8 2
 
5.4%
4 1
 
2.7%
6 1
 
2.7%
3 1
 
2.7%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 248
79.0%
Common 66
 
21.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 27
 
10.9%
기 22
 
8.9%
학 14
 
5.6%
사 14
 
5.6%
보 14
 
5.6%
제 13
 
5.2%
홍 13
 
5.2%
자 12
 
4.8%
생 12
 
4.8%
전 5
 
2.0%
Other values (69) 102
41.1%
Common
ValueCountFrequency (%)
( 14
21.2%
) 14
21.2%
1 12
18.2%
9 10
15.2%
2 5
 
7.6%
0 5
 
7.6%
8 2
 
3.0%
1
 
1.5%
4 1
 
1.5%
6 1
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 248
79.0%
ASCII 66
 
21.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 27
 
10.9%
기 22
 
8.9%
학 14
 
5.6%
사 14
 
5.6%
보 14
 
5.6%
제 13
 
5.2%
홍 13
 
5.2%
자 12
 
4.8%
생 12
 
4.8%
전 5
 
2.0%
Other values (69) 102
41.1%
ASCII
ValueCountFrequency (%)
( 14
21.2%
) 14
21.2%
1 12
18.2%
9 10
15.2%
2 5
 
7.6%
0 5
 
7.6%
8 2
 
3.0%
1
 
1.5%
4 1
 
1.5%
6 1
 
1.5%

홍보대상분류설명
Text

Distinct20
Distinct (%)58.8%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-13T07:53:48.778849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length5.5882353
Min length2

Characters and Unicode

Total characters190
Distinct characters64
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

Unique14 ?
Unique (%)41.2%

Sample

1st row보도자료배포
2nd row광고관련
3rd row팀원
4th row언론사
5th row지방지포함
ValueCountFrequency (%)
대학생 9
20.9%
홍보대사 9
20.9%
임시발송 3
 
7.0%
언론사 2
 
4.7%
심사결과안내 2
 
4.7%
멘토링 2
 
4.7%
이사장님이해관계자 2
 
4.7%
외부평가 1
 
2.3%
보도자료배포 1
 
2.3%
외부위원 1
 
2.3%
Other values (11) 11
25.6%
2023-12-13T07:53:49.132307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 19
 
10.0%
사 17
 
8.9%
보 10
 
5.3%
학 10
 
5.3%
생 9
 
4.7%
9
 
4.7%
홍 9
 
4.7%
이 4
 
2.1%
자 4
 
2.1%
장 4
 
2.1%
Other values (54) 95
50.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 180
94.7%
Space Separator 9
 
4.7%
Decimal Number 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 19
 
10.6%
사 17
 
9.4%
보 10
 
5.6%
학 10
 
5.6%
생 9
 
5.0%
홍 9
 
5.0%
이 4
 
2.2%
자 4
 
2.2%
장 4
 
2.2%
원 4
 
2.2%
Other values (52) 90
50.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Decimal Number
ValueCountFrequency (%)
4 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 180
94.7%
Common 10
 
5.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 19
 
10.6%
사 17
 
9.4%
보 10
 
5.6%
학 10
 
5.6%
생 9
 
5.0%
홍 9
 
5.0%
이 4
 
2.2%
자 4
 
2.2%
장 4
 
2.2%
원 4
 
2.2%
Other values (52) 90
50.0%
Common
ValueCountFrequency (%)
9
90.0%
4 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 180
94.7%
ASCII 10
 
5.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 19
 
10.6%
사 17
 
9.4%
보 10
 
5.6%
학 10
 
5.6%
생 9
 
5.0%
홍 9
 
5.0%
이 4
 
2.2%
자 4
 
2.2%
장 4
 
2.2%
원 4
 
2.2%
Other values (52) 90
50.0%
ASCII
ValueCountFrequency (%)
9
90.0%
4 1
 
10.0%

사용여부
Boolean

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size166.0 B
True
34 
ValueCountFrequency (%)
True 34
100.0%
2023-12-13T07:53:49.242192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:53:49.299342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
홍보대상분류명홍보대상분류설명
홍보대상분류명1.0001.000
홍보대상분류설명1.0001.000

Missing values

2023-12-13T07:53:47.859618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:53:47.951600image/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

홍보대상분류명홍보대상분류설명사용여부
0전제임직원(190613)보도자료배포Y
1광고매체언론광고관련Y
2보도자료테스트그룹팀원Y
3교육부출입기자언론사Y
4기자지방지포함Y
5재단출입기자언론사Y
6국회직원Y
7대학관계자총장처장및대학담당자Y
8학계위원Y
9멘티멘토링Y
홍보대상분류명홍보대상분류설명사용여부
24심포지엄(임시)임시발송Y
25기타이사장님이해관계자Y
26광주언론사기자테스트용Y
27제11기대학생홍보대사(합격자)대학생 홍보대사Y
28설문조사링크발송설문조사Y
29제11기대학생홍보대사(신청자)심사결과안내Y
30임시발송임시발송Y
312018년수기공모전시상식참여자임시발송4Y
32제12기대학생홍보대사서류심사결과안내Y
33제10기대학생홍보대사(신청자)심사결과안내Y