Overview

Dataset statistics

Number of variables1
Number of observations179
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory8.7 B

Variable types

Text1

Dataset

Description2022.01.01.~2022.12.31(발급일 기준) 평생교육사 자격증을 신청한 기관에 관한 정보입니다.
URLhttps://www.data.go.kr/data/15049651/fileData.do

Alerts

신규 자격발급 신청기관 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:38:57.994004
Analysis finished2023-12-12 20:38:58.255594
Duration0.26 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

Distinct179
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-13T05:38:58.450521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length16
Mean length7.8603352
Min length5

Characters and Unicode

Total characters1407
Distinct characters173
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique179 ?
Unique (%)100.0%

Sample

1st row(GB)글로벌이노에듀
2nd rowKstudy한국원격평생교육원
3rd row가톨릭관동대학교(휴먼서비스대학)
4th row가톨릭대학교
5th row가톨릭대학교 교육대학원
ValueCountFrequency (%)
교육대학원 6
 
2.9%
평생교육원 6
 
2.9%
부설 5
 
2.4%
대학원 4
 
1.9%
서울사회복지대학원대학교 2
 
1.0%
서울기독대학교 2
 
1.0%
영산대학교 2
 
1.0%
중부대학교 2
 
1.0%
연세대학교 2
 
1.0%
충남대학교 2
 
1.0%
Other values (167) 174
84.1%
2023-12-13T05:38:58.928215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
193
 
13.7%
192
 
13.6%
192
 
13.6%
74
 
5.3%
39
 
2.8%
29
 
2.1%
29
 
2.1%
28
 
2.0%
27
 
1.9%
26
 
1.8%
Other values (163) 578
41.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1355
96.3%
Space Separator 28
 
2.0%
Open Punctuation 7
 
0.5%
Close Punctuation 7
 
0.5%
Uppercase Letter 5
 
0.4%
Lowercase Letter 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
193
 
14.2%
192
 
14.2%
192
 
14.2%
74
 
5.5%
39
 
2.9%
29
 
2.1%
29
 
2.1%
27
 
2.0%
26
 
1.9%
25
 
1.8%
Other values (150) 529
39.0%
Uppercase Letter
ValueCountFrequency (%)
S 1
20.0%
E 1
20.0%
K 1
20.0%
G 1
20.0%
B 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
u 1
20.0%
s 1
20.0%
t 1
20.0%
d 1
20.0%
y 1
20.0%
Space Separator
ValueCountFrequency (%)
28
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1355
96.3%
Common 42
 
3.0%
Latin 10
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
193
 
14.2%
192
 
14.2%
192
 
14.2%
74
 
5.5%
39
 
2.9%
29
 
2.1%
29
 
2.1%
27
 
2.0%
26
 
1.9%
25
 
1.8%
Other values (150) 529
39.0%
Latin
ValueCountFrequency (%)
S 1
10.0%
E 1
10.0%
u 1
10.0%
s 1
10.0%
K 1
10.0%
G 1
10.0%
B 1
10.0%
t 1
10.0%
d 1
10.0%
y 1
10.0%
Common
ValueCountFrequency (%)
28
66.7%
( 7
 
16.7%
) 7
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1355
96.3%
ASCII 52
 
3.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
193
 
14.2%
192
 
14.2%
192
 
14.2%
74
 
5.5%
39
 
2.9%
29
 
2.1%
29
 
2.1%
27
 
2.0%
26
 
1.9%
25
 
1.8%
Other values (150) 529
39.0%
ASCII
ValueCountFrequency (%)
28
53.8%
( 7
 
13.5%
) 7
 
13.5%
S 1
 
1.9%
E 1
 
1.9%
u 1
 
1.9%
s 1
 
1.9%
K 1
 
1.9%
G 1
 
1.9%
B 1
 
1.9%
Other values (3) 3
 
5.8%

Missing values

2023-12-13T05:38:58.131229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:38:58.216588image/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

신규 자격발급 신청기관
0(GB)글로벌이노에듀
1Kstudy한국원격평생교육원
2가톨릭관동대학교(휴먼서비스대학)
3가톨릭대학교
4가톨릭대학교 교육대학원
5감리교신학대학교
6강남구여성능력개발센터
7강남대학교
8강원대학교
9건국대학교
신규 자격발급 신청기관
169해밀원격평생교육원
170협성대학교
171호산대학교
172호산대학교 부설 평생교육원
173호서대학교 부설 평생교육원
174호원대학교
175홍익대학교
176화신사이버대학교
177휴넷사회복지평생교육원
178휴넷평생교육원