Overview

Dataset statistics

Number of variables4
Number of observations430
Missing cells3
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.6 KiB
Average record size in memory32.3 B

Variable types

Text3
Categorical1

Dataset

Description학점은행제 교육훈련기관 정보로 기관명, 기관유형, 주소, 전화번호 항목을 제공합니다. (2021년 6월 25일 기준)
Author국가평생교육진흥원
URLhttps://www.data.go.kr/data/15052852/fileData.do

Alerts

기관명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:32:57.890249
Analysis finished2023-12-12 12:32:58.455997
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

기관명
Text

UNIQUE 

Distinct430
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-12-12T21:32:58.690370image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length21
Mean length12.15814
Min length5

Characters and Unicode

Total characters5228
Distinct characters299
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique430 ?
Unique (%)100.0%

Sample

1st row(A+)에이플러스교육원
2nd row(ALL)올에듀
3rd row(GB)글로벌이노에듀
4th row(IT)메가존아이티평생교육원
5th row(SE)에스이사이버평생교육원
ValueCountFrequency (%)
평생교육원 27
 
5.3%
부설 22
 
4.3%
미래교육원 5
 
1.0%
원격평생교육원 4
 
0.8%
공군교육사령부 2
 
0.4%
경기대학교 2
 
0.4%
서강직업전문학교 2
 
0.4%
중앙대학교 2
 
0.4%
서울현대직업전문학교 2
 
0.4%
글로벌미래평생교육원 1
 
0.2%
Other values (442) 442
86.5%
2023-12-12T21:32:59.190260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
교 606
 
11.6%
원 384
 
7.3%
학 376
 
7.2%
육 319
 
6.1%
대 271
 
5.2%
평 259
 
5.0%
생 259
 
5.0%
부 189
 
3.6%
설 174
 
3.3%
전 84
 
1.6%
Other values (289) 2307
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4914
94.0%
Uppercase Letter 116
 
2.2%
Space Separator 81
 
1.5%
Open Punctuation 41
 
0.8%
Close Punctuation 41
 
0.8%
Lowercase Letter 14
 
0.3%
Dash Punctuation 11
 
0.2%
Decimal Number 7
 
0.1%
Letter Number 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 606
 
12.3%
원 384
 
7.8%
학 376
 
7.7%
육 319
 
6.5%
대 271
 
5.5%
평 259
 
5.3%
생 259
 
5.3%
부 189
 
3.8%
설 174
 
3.5%
전 84
 
1.7%
Other values (247) 1993
40.6%
Uppercase Letter
ValueCountFrequency (%)
O 22
19.0%
C 20
17.2%
K 16
13.8%
M 13
11.2%
A 8
 
6.9%
B 7
 
6.0%
S 7
 
6.0%
I 5
 
4.3%
E 4
 
3.4%
L 3
 
2.6%
Other values (8) 11
9.5%
Lowercase Letter
ValueCountFrequency (%)
o 2
14.3%
s 2
14.3%
y 1
7.1%
d 1
7.1%
u 1
7.1%
t 1
7.1%
c 1
7.1%
b 1
7.1%
m 1
7.1%
i 1
7.1%
Other values (2) 2
14.3%
Decimal Number
ValueCountFrequency (%)
6 2
28.6%
2 2
28.6%
0 1
14.3%
9 1
14.3%
1 1
14.3%
Space Separator
ValueCountFrequency (%)
81
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 11
100.0%
Letter Number
ValueCountFrequency (%)
Ⅶ 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4914
94.0%
Common 183
 
3.5%
Latin 131
 
2.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 606
 
12.3%
원 384
 
7.8%
학 376
 
7.7%
육 319
 
6.5%
대 271
 
5.5%
평 259
 
5.3%
생 259
 
5.3%
부 189
 
3.8%
설 174
 
3.5%
전 84
 
1.7%
Other values (247) 1993
40.6%
Latin
ValueCountFrequency (%)
O 22
16.8%
C 20
15.3%
K 16
12.2%
M 13
9.9%
A 8
 
6.1%
B 7
 
5.3%
S 7
 
5.3%
I 5
 
3.8%
E 4
 
3.1%
L 3
 
2.3%
Other values (21) 26
19.8%
Common
ValueCountFrequency (%)
81
44.3%
( 41
22.4%
) 41
22.4%
- 11
 
6.0%
6 2
 
1.1%
2 2
 
1.1%
0 1
 
0.5%
9 1
 
0.5%
1 1
 
0.5%
& 1
 
0.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4914
94.0%
ASCII 313
 
6.0%
Number Forms 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
교 606
 
12.3%
원 384
 
7.8%
학 376
 
7.7%
육 319
 
6.5%
대 271
 
5.5%
평 259
 
5.3%
생 259
 
5.3%
부 189
 
3.8%
설 174
 
3.5%
전 84
 
1.7%
Other values (247) 1993
40.6%
ASCII
ValueCountFrequency (%)
81
25.9%
( 41
13.1%
) 41
13.1%
O 22
 
7.0%
C 20
 
6.4%
K 16
 
5.1%
M 13
 
4.2%
- 11
 
3.5%
A 8
 
2.6%
B 7
 
2.2%
Other values (31) 53
16.9%
Number Forms
ValueCountFrequency (%)
Ⅶ 1
100.0%

기관유형
Categorical

Distinct14
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
대학부설평생교육원
122 
원격교육
86 
전문대학부설평생교육원
72 
인정직업훈련원
60 
정부관련기관
36 
Other values (9)
54 

Length

Max length11
Median length7
Mean length7.4186047
Min length4

Unique

Unique3 ?
Unique (%)0.7%

Sample

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

Common Values

ValueCountFrequency (%)
대학부설평생교육원 122
28.4%
원격교육 86
20.0%
전문대학부설평생교육원 72
16.7%
인정직업훈련원 60
14.0%
정부관련기관 36
 
8.4%
평생교육시설 18
 
4.2%
K-MOOC 11
 
2.6%
사회계학원 7
 
1.6%
특수학교 6
 
1.4%
기술계학원 5
 
1.2%
Other values (4) 7
 
1.6%

Length

2023-12-12T21:32:59.376377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대학부설평생교육원 122
27.9%
원격교육 86
19.6%
전문대학부설평생교육원 72
16.4%
인정직업훈련원 60
13.7%
정부관련기관 36
 
8.2%
평생교육시설 18
 
4.1%
k-mooc 11
 
2.5%
사회계학원 7
 
1.6%
특수학교 6
 
1.4%
기술계학원 5
 
1.1%
Other values (6) 15
 
3.4%

주소
Text

Distinct423
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size3.5 KiB
2023-12-12T21:32:59.736068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length148
Median length65
Mean length26.32093
Min length12

Characters and Unicode

Total characters11318
Distinct characters356
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique416 ?
Unique (%)96.7%

Sample

1st row서울 송파구 오금로35길 10 2층
2nd row서울 광진구 능동로37길 14, 6층
3rd row서울 종로구 인사동5길 42, 9층(관훈동, 종로빌딩)
4th row서울 강남구 테헤란로16길 17, 6층일부
5th row서울 강남구 강남대로94길 71-9 에스이빌딩 지하1층일부, 1층, 2층
ValueCountFrequency (%)
서울 173
 
7.0%
경기 58
 
2.3%
일부 23
 
0.9%
2층 23
 
0.9%
경남 22
 
0.9%
종로구 21
 
0.8%
사서함 20
 
0.8%
부산 20
 
0.8%
동대문구 19
 
0.8%
3층 18
 
0.7%
Other values (1238) 2086
84.0%
2023-12-12T21:33:00.436376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2079
 
18.4%
1 501
 
4.4%
구 395
 
3.5%
로 381
 
3.4%
서 328
 
2.9%
2 297
 
2.6%
, 259
 
2.3%
3 257
 
2.3%
대 255
 
2.3%
층 240
 
2.1%
Other values (346) 6326
55.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6226
55.0%
Decimal Number 2325
 
20.5%
Space Separator 2079
 
18.4%
Other Punctuation 286
 
2.5%
Dash Punctuation 138
 
1.2%
Close Punctuation 95
 
0.8%
Open Punctuation 95
 
0.8%
Uppercase Letter 37
 
0.3%
Math Symbol 35
 
0.3%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 395
 
6.3%
로 381
 
6.1%
서 328
 
5.3%
대 255
 
4.1%
층 240
 
3.9%
동 217
 
3.5%
울 213
 
3.4%
시 178
 
2.9%
산 140
 
2.2%
길 131
 
2.1%
Other values (314) 3748
60.2%
Uppercase Letter
ValueCountFrequency (%)
B 16
43.2%
A 5
 
13.5%
S 3
 
8.1%
T 2
 
5.4%
K 2
 
5.4%
C 2
 
5.4%
I 2
 
5.4%
D 1
 
2.7%
O 1
 
2.7%
E 1
 
2.7%
Other values (2) 2
 
5.4%
Decimal Number
ValueCountFrequency (%)
1 501
21.5%
2 297
12.8%
3 257
11.1%
5 239
10.3%
0 229
9.8%
4 215
9.2%
6 196
 
8.4%
7 167
 
7.2%
8 119
 
5.1%
9 105
 
4.5%
Other Punctuation
ValueCountFrequency (%)
, 259
90.6%
/ 20
 
7.0%
· 7
 
2.4%
Space Separator
ValueCountFrequency (%)
2079
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 138
100.0%
Close Punctuation
ValueCountFrequency (%)
) 95
100.0%
Open Punctuation
ValueCountFrequency (%)
( 95
100.0%
Math Symbol
ValueCountFrequency (%)
~ 35
100.0%
Letter Number
ValueCountFrequency (%)
Ⅶ 1
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6226
55.0%
Common 5053
44.6%
Latin 39
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 395
 
6.3%
로 381
 
6.1%
서 328
 
5.3%
대 255
 
4.1%
층 240
 
3.9%
동 217
 
3.5%
울 213
 
3.4%
시 178
 
2.9%
산 140
 
2.2%
길 131
 
2.1%
Other values (314) 3748
60.2%
Common
ValueCountFrequency (%)
2079
41.1%
1 501
 
9.9%
2 297
 
5.9%
, 259
 
5.1%
3 257
 
5.1%
5 239
 
4.7%
0 229
 
4.5%
4 215
 
4.3%
6 196
 
3.9%
7 167
 
3.3%
Other values (8) 614
 
12.2%
Latin
ValueCountFrequency (%)
B 16
41.0%
A 5
 
12.8%
S 3
 
7.7%
T 2
 
5.1%
K 2
 
5.1%
C 2
 
5.1%
I 2
 
5.1%
D 1
 
2.6%
Ⅶ 1
 
2.6%
O 1
 
2.6%
Other values (4) 4
 
10.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6226
55.0%
ASCII 5084
44.9%
None 7
 
0.1%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2079
40.9%
1 501
 
9.9%
2 297
 
5.8%
, 259
 
5.1%
3 257
 
5.1%
5 239
 
4.7%
0 229
 
4.5%
4 215
 
4.2%
6 196
 
3.9%
7 167
 
3.3%
Other values (20) 645
 
12.7%
Hangul
ValueCountFrequency (%)
구 395
 
6.3%
로 381
 
6.1%
서 328
 
5.3%
대 255
 
4.1%
층 240
 
3.9%
동 217
 
3.5%
울 213
 
3.4%
시 178
 
2.9%
산 140
 
2.2%
길 131
 
2.1%
Other values (314) 3748
60.2%
None
ValueCountFrequency (%)
· 7
100.0%
Number Forms
ValueCountFrequency (%)
Ⅶ 1
100.0%

전화번호
Text

Distinct421
Distinct (%)98.6%
Missing3
Missing (%)0.7%
Memory size3.5 KiB
2023-12-12T21:33:00.804108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length12
Mean length11.35363
Min length5

Characters and Unicode

Total characters4848
Distinct characters17
Distinct categories7 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique416 ?
Unique (%)97.4%

Sample

1st row02-443-2228
2nd row1600-4821
3rd row1588-3431
4th row02-2108-9207
5th row02-557-0802
ValueCountFrequency (%)
055-907-2215 3
 
0.7%
02-467-0886 2
 
0.5%
031-290-8060 2
 
0.5%
02-300-1000 2
 
0.5%
031-828-7126 2
 
0.5%
02 2
 
0.5%
031 2
 
0.5%
070-8633-9035 1
 
0.2%
02-443-2228 1
 
0.2%
02-2149-0804 1
 
0.2%
Other values (416) 416
95.9%
2023-12-12T21:33:01.287615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 874
18.0%
- 732
15.1%
2 607
12.5%
1 412
8.5%
5 393
8.1%
3 377
7.8%
7 314
 
6.5%
6 312
 
6.4%
4 310
 
6.4%
8 245
 
5.1%
Other values (7) 272
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4082
84.2%
Dash Punctuation 732
 
15.1%
Close Punctuation 13
 
0.3%
Other Punctuation 8
 
0.2%
Space Separator 7
 
0.1%
Math Symbol 5
 
0.1%
Open Punctuation 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 874
21.4%
2 607
14.9%
1 412
10.1%
5 393
9.6%
3 377
9.2%
7 314
 
7.7%
6 312
 
7.6%
4 310
 
7.6%
8 245
 
6.0%
9 238
 
5.8%
Other Punctuation
ValueCountFrequency (%)
. 6
75.0%
, 2
 
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 732
100.0%
Close Punctuation
ValueCountFrequency (%)
) 13
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Math Symbol
ValueCountFrequency (%)
~ 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4848
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 874
18.0%
- 732
15.1%
2 607
12.5%
1 412
8.5%
5 393
8.1%
3 377
7.8%
7 314
 
6.5%
6 312
 
6.4%
4 310
 
6.4%
8 245
 
5.1%
Other values (7) 272
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4848
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 874
18.0%
- 732
15.1%
2 607
12.5%
1 412
8.5%
5 393
8.1%
3 377
7.8%
7 314
 
6.5%
6 312
 
6.4%
4 310
 
6.4%
8 245
 
5.1%
Other values (7) 272
 
5.6%

Missing values

2023-12-12T21:32:58.312663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:32:58.412628image/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

기관명기관유형주소전화번호
0(A+)에이플러스교육원원격교육서울 송파구 오금로35길 10 2층02-443-2228
1(ALL)올에듀원격교육서울 광진구 능동로37길 14, 6층1600-4821
2(GB)글로벌이노에듀원격교육서울 종로구 인사동5길 42, 9층(관훈동, 종로빌딩)1588-3431
3(IT)메가존아이티평생교육원원격교육서울 강남구 테헤란로16길 17, 6층일부02-2108-9207
4(SE)에스이사이버평생교육원원격교육서울 강남구 강남대로94길 71-9 에스이빌딩 지하1층일부, 1층, 2층02-557-0802
5(YJ)와이제이사이버평생교육원원격교육서울 강남구 테헤란로19길 35 지하1층 일부, 1층, 2층1899-3123
6(재)BBS미용예술실용전문학교인정직업훈련원경기 부천시 부천로2번길 29 1층,2층,3층,5층, 부천로 11 1600호032-653-2999
7(재)서울예술실용전문학교인정직업훈련원서울 서대문구 통일로37길 60(홍제동 318-18), 통일로37길51(홍제동319-1~2), 통일로37길 39-2(홍제동 167-24)23960171
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