Overview

Dataset statistics

Number of variables27
Number of observations10000
Missing cells14464
Missing cells (%)5.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 MiB
Average record size in memory225.0 B

Variable types

Text19
DateTime3
Categorical4
Numeric1

Dataset

Description공공데이터 제공 표준데이터 속성정보(허용값, 표현형식/단위 등)는 [공공데이터 제공 표준] 전문을 참고하시기 바랍니다.(공공데이터포털>정보공유>자료실) 각 기관에서 등록한 표준데이터를 취합하여 제공하기 때문에 갱신주기는 개별 파일마다 다릅니다.(기관에서 등록한 데이터를 취합한 것으로 개별 파일별 갱신시점이 다름)
Author지방자치단체, 교육청
URLhttps://www.data.go.kr/data/15013110/standard.do

Alerts

교육방법구분 is highly imbalanced (61.1%)Imbalance
직업능력개발훈련비지원강좌여부 is highly imbalanced (61.8%)Imbalance
학점은행제평가(학점)인정여부 is highly imbalanced (63.0%)Imbalance
교육시작시각 has 2227 (22.3%) missing valuesMissing
교육종료시각 has 2227 (22.3%) missing valuesMissing
운영요일 has 1713 (17.1%) missing valuesMissing
교육장소 has 599 (6.0%) missing valuesMissing
접수시작일자 has 2116 (21.2%) missing valuesMissing
접수종료일자 has 2148 (21.5%) missing valuesMissing
선정방법구분 has 1973 (19.7%) missing valuesMissing
홈페이지주소 has 1458 (14.6%) missing valuesMissing
강좌정원수 has 355 (3.5%) zerosZeros

Reproduction

Analysis started2024-05-04 07:09:54.445511
Analysis finished2024-05-04 07:10:01.666872
Duration7.22 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

강좌명
Text

Distinct8616
Distinct (%)86.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-04T07:10:02.110157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length100
Median length63
Mean length15.024
Min length2

Characters and Unicode

Total characters150240
Distinct characters1133
Distinct categories16 ?
Distinct scripts4 ?
Distinct blocks11 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7987 ?
Unique (%)79.9%

Sample

1st row(신중년) - CF 모델로 살아보기
2nd row세상에서 제일 쉬운 신개념 중국어 고급
3rd row21세기담양포럼
4th row생활의상디자인(중급)
5th row더불어 함께하는 우리 노래, 민요
ValueCountFrequency (%)
590
 
2.0%
만들기 213
 
0.7%
배우는 167
 
0.6%
2급 148
 
0.5%
위한 144
 
0.5%
1 124
 
0.4%
및 113
 
0.4%
캘리그라피 108
 
0.4%
기초 104
 
0.3%
2 103
 
0.3%
Other values (12507) 27969
93.9%
2024-05-04T07:10:03.187910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19881
 
13.2%
) 3550
 
2.4%
( 3539
 
2.4%
기 2588
 
1.7%
2 1833
 
1.2%
이 1823
 
1.2%
스 1817
 
1.2%
리 1782
 
1.2%
[ 1666
 
1.1%
] 1665
 
1.1%
Other values (1123) 110096
73.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 102769
68.4%
Space Separator 19882
 
13.2%
Decimal Number 6861
 
4.6%
Close Punctuation 5245
 
3.5%
Open Punctuation 5235
 
3.5%
Lowercase Letter 3237
 
2.2%
Uppercase Letter 3144
 
2.1%
Other Punctuation 2046
 
1.4%
Dash Punctuation 900
 
0.6%
Math Symbol 444
 
0.3%
Other values (6) 477
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 2588
 
2.5%
이 1823
 
1.8%
스 1817
 
1.8%
리 1782
 
1.7%
어 1443
 
1.4%
사 1375
 
1.3%
는 1305
 
1.3%
인 1167
 
1.1%
학 1084
 
1.1%
급 1080
 
1.1%
Other values (1006) 87305
85.0%
Lowercase Letter
ValueCountFrequency (%)
e 440
13.6%
t 329
10.2%
a 307
 
9.5%
r 278
 
8.6%
o 272
 
8.4%
n 231
 
7.1%
i 214
 
6.6%
s 137
 
4.2%
l 131
 
4.0%
h 127
 
3.9%
Other values (16) 771
23.8%
Uppercase Letter
ValueCountFrequency (%)
A 383
12.2%
P 283
 
9.0%
D 261
 
8.3%
T 258
 
8.2%
B 226
 
7.2%
S 208
 
6.6%
H 168
 
5.3%
I 157
 
5.0%
C 145
 
4.6%
N 110
 
3.5%
Other values (16) 945
30.1%
Other Punctuation
ValueCountFrequency (%)
, 543
26.5%
/ 427
20.9%
: 397
19.4%
. 262
12.8%
& 251
12.3%
! 70
 
3.4%
? 39
 
1.9%
· 36
 
1.8%
" 8
 
0.4%
# 3
 
0.1%
Other values (5) 10
 
0.5%
Decimal Number
ValueCountFrequency (%)
2 1833
26.7%
1 1660
24.2%
0 1116
16.3%
3 759
11.1%
4 358
 
5.2%
6 318
 
4.6%
5 298
 
4.3%
7 190
 
2.8%
8 190
 
2.8%
9 139
 
2.0%
Letter Number
ValueCountFrequency (%)
Ⅰ 31
54.4%
Ⅱ 22
38.6%
Ⅲ 1
 
1.8%
Ⅷ 1
 
1.8%
Ⅳ 1
 
1.8%
ⅱ 1
 
1.8%
Other Number
ValueCountFrequency (%)
② 4
25.0%
④ 4
25.0%
① 4
25.0%
③ 2
12.5%
⑥ 1
 
6.2%
⑦ 1
 
6.2%
Close Punctuation
ValueCountFrequency (%)
) 3550
67.7%
] 1665
31.7%
」 17
 
0.3%
』 12
 
0.2%
］ 1
 
< 0.1%
Open Punctuation
ValueCountFrequency (%)
( 3539
67.6%
[ 1666
31.8%
「 17
 
0.3%
『 12
 
0.2%
［ 1
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
~ 198
44.6%
+ 103
23.2%
> 71
 
16.0%
< 71
 
16.0%
∼ 1
 
0.2%
Other Symbol
ValueCountFrequency (%)
★ 77
85.6%
♬ 7
 
7.8%
㈜ 3
 
3.3%
ⓑ 2
 
2.2%
ⓒ 1
 
1.1%
Space Separator
ValueCountFrequency (%)
19881
> 99.9%
　 1
 
< 0.1%
Final Punctuation
ValueCountFrequency (%)
’ 41
77.4%
” 12
 
22.6%
Initial Punctuation
ValueCountFrequency (%)
‘ 13
52.0%
“ 12
48.0%
Dash Punctuation
ValueCountFrequency (%)
- 900
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 236
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 102722
68.4%
Common 41030
 
27.3%
Latin 6438
 
4.3%
Han 50
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 2588
 
2.5%
이 1823
 
1.8%
스 1817
 
1.8%
리 1782
 
1.7%
어 1443
 
1.4%
사 1375
 
1.3%
는 1305
 
1.3%
인 1167
 
1.1%
학 1084
 
1.1%
급 1080
 
1.1%
Other values (978) 87258
84.9%
Common
ValueCountFrequency (%)
19881
48.5%
) 3550
 
8.7%
( 3539
 
8.6%
2 1833
 
4.5%
[ 1666
 
4.1%
] 1665
 
4.1%
1 1660
 
4.0%
0 1116
 
2.7%
- 900
 
2.2%
3 759
 
1.8%
Other values (48) 4461
 
10.9%
Latin
ValueCountFrequency (%)
e 440
 
6.8%
A 383
 
5.9%
t 329
 
5.1%
a 307
 
4.8%
P 283
 
4.4%
r 278
 
4.3%
o 272
 
4.2%
D 261
 
4.1%
T 258
 
4.0%
n 231
 
3.6%
Other values (48) 3396
52.7%
Han
ValueCountFrequency (%)
新 6
 
12.0%
裁 5
 
10.0%
盆 5
 
10.0%
茶 4
 
8.0%
詩 3
 
6.0%
人 2
 
4.0%
茶 2
 
4.0%
論 2
 
4.0%
葯 1
 
2.0%
歌 1
 
2.0%
Other values (19) 19
38.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 102718
68.4%
ASCII 47127
31.4%
None 102
 
0.1%
Misc Symbols 84
 
0.1%
Punctuation 81
 
0.1%
Number Forms 57
 
< 0.1%
CJK 46
 
< 0.1%
Enclosed Alphanum 19
 
< 0.1%
CJK Compat Ideographs 4
 
< 0.1%
Math Operators 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19881
42.2%
) 3550
 
7.5%
( 3539
 
7.5%
2 1833
 
3.9%
[ 1666
 
3.5%
] 1665
 
3.5%
1 1660
 
3.5%
0 1116
 
2.4%
- 900
 
1.9%
3 759
 
1.6%
Other values (74) 10558
22.4%
Hangul
ValueCountFrequency (%)
기 2588
 
2.5%
이 1823
 
1.8%
스 1817
 
1.8%
리 1782
 
1.7%
어 1443
 
1.4%
사 1375
 
1.3%
는 1305
 
1.3%
인 1167
 
1.1%
학 1084
 
1.1%
급 1080
 
1.1%
Other values (976) 87254
84.9%
Misc Symbols
ValueCountFrequency (%)
★ 77
91.7%
♬ 7
 
8.3%
Punctuation
ValueCountFrequency (%)
’ 41
50.6%
‘ 13
 
16.0%
“ 12
 
14.8%
” 12
 
14.8%
′ 2
 
2.5%
※ 1
 
1.2%
None
ValueCountFrequency (%)
· 36
35.3%
「 17
16.7%
」 17
16.7%
』 12
 
11.8%
『 12
 
11.8%
㈜ 3
 
2.9%
＆ 2
 
2.0%
　 1
 
1.0%
］ 1
 
1.0%
［ 1
 
1.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 31
54.4%
Ⅱ 22
38.6%
Ⅲ 1
 
1.8%
Ⅷ 1
 
1.8%
Ⅳ 1
 
1.8%
ⅱ 1
 
1.8%
CJK
ValueCountFrequency (%)
新 6
 
13.0%
裁 5
 
10.9%
盆 5
 
10.9%
茶 4
 
8.7%
詩 3
 
6.5%
人 2
 
4.3%
葯 1
 
2.2%
歌 1
 
2.2%
愛 1
 
2.2%
宴 1
 
2.2%
Other values (17) 17
37.0%
Enclosed Alphanum
ValueCountFrequency (%)
② 4
21.1%
④ 4
21.1%
① 4
21.1%
ⓑ 2
10.5%
③ 2
10.5%
⑥ 1
 
5.3%
⑦ 1
 
5.3%
ⓒ 1
 
5.3%
CJK Compat Ideographs
ValueCountFrequency (%)
茶 2
50.0%
論 2
50.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

강사명
Text

Distinct5218
Distinct (%)52.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-04T07:10:03.921382image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length3
Mean length3.8141
Min length1

Characters and Unicode

Total characters38141
Distinct characters534
Distinct categories13 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3545 ?
Unique (%)35.4%

Sample

1st row이규희
2nd row안태정+권미령
3rd row강성태
4th row김은희
5th row국립국악원
ValueCountFrequency (%)
휴넷 188
 
1.8%
에듀라임 116
 
1.1%
아트센터달 111
 
1.1%
대구온라인클래스 99
 
0.9%
외 74
 
0.7%
계명대학교 63
 
0.6%
계명시민교육원 63
 
0.6%
mbc씨앤아이 59
 
0.6%
국립국악원 54
 
0.5%
칠금평생교육원 46
 
0.4%
Other values (5359) 9672
91.7%
2024-05-04T07:10:05.083166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 1826
 
4.8%
이 1470
 
3.9%
정 1367
 
3.6%
영 1010
 
2.6%
희 837
 
2.2%
미 817
 
2.1%
박 727
 
1.9%
경 696
 
1.8%
진 604
 
1.6%
숙 593
 
1.6%
Other values (524) 28194
73.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 36195
94.9%
Space Separator 553
 
1.4%
Uppercase Letter 432
 
1.1%
Lowercase Letter 294
 
0.8%
Math Symbol 162
 
0.4%
Open Punctuation 162
 
0.4%
Close Punctuation 158
 
0.4%
Decimal Number 105
 
0.3%
Other Punctuation 76
 
0.2%
Other Symbol 1
 
< 0.1%
Other values (3) 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 1826
 
5.0%
이 1470
 
4.1%
정 1367
 
3.8%
영 1010
 
2.8%
희 837
 
2.3%
미 817
 
2.3%
박 727
 
2.0%
경 696
 
1.9%
진 604
 
1.7%
숙 593
 
1.6%
Other values (456) 26248
72.5%
Uppercase Letter
ValueCountFrequency (%)
C 85
19.7%
B 69
16.0%
M 69
16.0%
A 29
 
6.7%
N 24
 
5.6%
P 19
 
4.4%
O 19
 
4.4%
T 18
 
4.2%
L 13
 
3.0%
S 13
 
3.0%
Other values (12) 74
17.1%
Lowercase Letter
ValueCountFrequency (%)
a 43
14.6%
i 34
11.6%
e 33
11.2%
n 31
10.5%
l 27
9.2%
s 19
 
6.5%
r 17
 
5.8%
o 16
 
5.4%
h 12
 
4.1%
u 11
 
3.7%
Other values (8) 51
17.3%
Decimal Number
ValueCountFrequency (%)
1 31
29.5%
2 26
24.8%
3 15
14.3%
5 12
 
11.4%
7 9
 
8.6%
6 4
 
3.8%
4 3
 
2.9%
8 2
 
1.9%
0 2
 
1.9%
9 1
 
1.0%
Other Punctuation
ValueCountFrequency (%)
, 49
64.5%
* 11
 
14.5%
/ 7
 
9.2%
. 5
 
6.6%
& 1
 
1.3%
" 1
 
1.3%
· 1
 
1.3%
: 1
 
1.3%
Open Punctuation
ValueCountFrequency (%)
( 160
98.8%
[ 2
 
1.2%
Close Punctuation
ValueCountFrequency (%)
) 156
98.7%
] 2
 
1.3%
Space Separator
ValueCountFrequency (%)
553
100.0%
Math Symbol
ValueCountFrequency (%)
+ 162
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 1
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 36196
94.9%
Common 1219
 
3.2%
Latin 726
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 1826
 
5.0%
이 1470
 
4.1%
정 1367
 
3.8%
영 1010
 
2.8%
희 837
 
2.3%
미 817
 
2.3%
박 727
 
2.0%
경 696
 
1.9%
진 604
 
1.7%
숙 593
 
1.6%
Other values (457) 26249
72.5%
Latin
ValueCountFrequency (%)
C 85
 
11.7%
B 69
 
9.5%
M 69
 
9.5%
a 43
 
5.9%
i 34
 
4.7%
e 33
 
4.5%
n 31
 
4.3%
A 29
 
4.0%
l 27
 
3.7%
N 24
 
3.3%
Other values (30) 282
38.8%
Common
ValueCountFrequency (%)
553
45.4%
+ 162
 
13.3%
( 160
 
13.1%
) 156
 
12.8%
, 49
 
4.0%
1 31
 
2.5%
2 26
 
2.1%
3 15
 
1.2%
5 12
 
1.0%
* 11
 
0.9%
Other values (17) 44
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 36195
94.9%
ASCII 1942
 
5.1%
None 2
 
< 0.1%
Punctuation 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 1826
 
5.0%
이 1470
 
4.1%
정 1367
 
3.8%
영 1010
 
2.8%
희 837
 
2.3%
미 817
 
2.3%
박 727
 
2.0%
경 696
 
1.9%
진 604
 
1.7%
숙 593
 
1.6%
Other values (456) 26248
72.5%
ASCII
ValueCountFrequency (%)
553
28.5%
+ 162
 
8.3%
( 160
 
8.2%
) 156
 
8.0%
C 85
 
4.4%
B 69
 
3.6%
M 69
 
3.6%
, 49
 
2.5%
a 43
 
2.2%
i 34
 
1.8%
Other values (54) 562
28.9%
None
ValueCountFrequency (%)
㈜ 1
50.0%
· 1
50.0%
Punctuation
ValueCountFrequency (%)
’ 1
50.0%
‘ 1
50.0%

교육시작일자
Text

Distinct1019
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-04T07:10:05.794647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9999
Min length9

Characters and Unicode

Total characters99999
Distinct characters20
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

Unique325 ?
Unique (%)3.2%

Sample

1st row2023-05-02
2nd row2023-01-01
3rd row2018-07-19
4th row2024-02-28
5th row2022-01-01
ValueCountFrequency (%)
2024-01-01 641
 
6.4%
2023-03-01 437
 
4.4%
2023-01-01 235
 
2.4%
2024-01-08 224
 
2.2%
2024-03-04 213
 
2.1%
2023-03-06 187
 
1.9%
2023-12-04 136
 
1.4%
2024-03-11 129
 
1.3%
2024-02-13 118
 
1.2%
2023-08-07 105
 
1.1%
Other values (1009) 7575
75.8%
2024-05-04T07:10:06.924390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 26467
26.5%
2 23606
23.6%
- 19998
20.0%
3 8903
 
8.9%
1 8814
 
8.8%
4 4558
 
4.6%
8 1880
 
1.9%
9 1653
 
1.7%
7 1463
 
1.5%
6 1356
 
1.4%
Other values (10) 1301
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 79992
80.0%
Dash Punctuation 19998
 
20.0%
Other Letter 9
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 26467
33.1%
2 23606
29.5%
3 8903
 
11.1%
1 8814
 
11.0%
4 4558
 
5.7%
8 1880
 
2.4%
9 1653
 
2.1%
7 1463
 
1.8%
6 1356
 
1.7%
5 1292
 
1.6%
Other Letter
ValueCountFrequency (%)
지 1
11.1%
식 1
11.1%
문 1
11.1%
화 1
11.1%
평 1
11.1%
생 1
11.1%
교 1
11.1%
육 1
11.1%
원 1
11.1%
Dash Punctuation
ValueCountFrequency (%)
- 19998
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 99990
> 99.9%
Hangul 9
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 26467
26.5%
2 23606
23.6%
- 19998
20.0%
3 8903
 
8.9%
1 8814
 
8.8%
4 4558
 
4.6%
8 1880
 
1.9%
9 1653
 
1.7%
7 1463
 
1.5%
6 1356
 
1.4%
Hangul
ValueCountFrequency (%)
지 1
11.1%
식 1
11.1%
문 1
11.1%
화 1
11.1%
평 1
11.1%
생 1
11.1%
교 1
11.1%
육 1
11.1%
원 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 99990
> 99.9%
Hangul 9
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 26467
26.5%
2 23606
23.6%
- 19998
20.0%
3 8903
 
8.9%
1 8814
 
8.8%
4 4558
 
4.6%
8 1880
 
1.9%
9 1653
 
1.7%
7 1463
 
1.5%
6 1356
 
1.4%
Hangul
ValueCountFrequency (%)
지 1
11.1%
식 1
11.1%
문 1
11.1%
화 1
11.1%
평 1
11.1%
생 1
11.1%
교 1
11.1%
육 1
11.1%
원 1
11.1%

교육종료일자
Date

Distinct1087
Distinct (%)10.9%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
Minimum2015-02-24 00:00:00
Maximum2025-03-03 00:00:00
2024-05-04T07:10:07.377885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T07:10:07.936848image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

교육시작시각
Date

MISSING 

Distinct83
Distinct (%)1.1%
Missing2227
Missing (%)22.3%
Memory size156.2 KiB
Minimum2023-07-21 00:00:00
Maximum2024-05-04 20:30:00
2024-05-04T07:10:08.366115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T07:10:09.025305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

교육종료시각
Date

MISSING 

Distinct95
Distinct (%)1.2%
Missing2227
Missing (%)22.3%
Memory size156.2 KiB
Minimum2024-05-04 00:00:00
Maximum2024-05-04 23:59:00
2024-05-04T07:10:09.606721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-05-04T07:10:10.031022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

강좌내용
Text

Distinct6979
Distinct (%)69.8%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2024-05-04T07:10:11.038781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length512
Median length441
Mean length21.267227
Min length1

Characters and Unicode

Total characters212651
Distinct characters1140
Distinct categories16 ?
Distinct scripts4 ?
Distinct blocks13 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6073 ?
Unique (%)60.7%

Sample

1st row백년동행시민대학 물음표학교 학습살롱은 유네스코지속가능발전교육(ESD)공식프로젝트로 학습살롱PM(시민활동가)이 시민 맞춤형 평생교육 프로그램을 기획하고, 운영하는 프로젝트입니다.“살아온 시간이 모델인데, 단지 카메라가 자연스럽지 않았기 때문에 못했던거여”삶의 애환이 있기에 더 자연스럽게 스며들 수 있다고 생각합니다. 그 길을 어떻게 열어야 하는지를 조금 더 학습을 통해, 이웃과 함께 배우는 기회를 만들어 드리려는 과정입니다.교육시간이 중복되지 않을 경우, 수강 횟수 제한 없습니다. 단, 미수료할 경우, 하반기 학습살롱 신청에 불이익(신청불가)이 있사오니 신중하게 교육 신청 부탁드립니다.최종 수강인원이 모집정원의 70미만일 경우에는 폐강될 수 있습니다.개강이 확정되면, 해당 강좌의 기획자인 담당 학습살롱PM이 연락을 드립니다. 강좌에 대한 문의사항이 있으실 경우, 담당 학습살롱PM에게 문의해주세요교육장소 : 징검다리교실 대원091 액터스엘아트센터(연기실)(경기대로 258, 이다베이커리카페 2층)
2nd row공자+휴대전화 문자+빈 마차+해양관의 광고 등
3rd row습관, 반복되는 일상에 미션을 붙여라
4th row실용
5th row국악의 이해
ValueCountFrequency (%)
및 824
 
1.7%
강좌 801
 
1.6%
653
 
1.3%
만들기 460
 
0.9%
등 400
 
0.8%
수 386
 
0.8%
다양한 363
 
0.7%
기초 312
 
0.6%
배우기 306
 
0.6%
교육 297
 
0.6%
Other values (14511) 44860
90.3%
2024-05-04T07:10:12.898787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
40160
 
18.9%
기 4754
 
2.2%
이 2677
 
1.3%
을 2491
 
1.2%
한 2476
 
1.2%
의 2283
 
1.1%
강 2201
 
1.0%
, 2097
 
1.0%
로 2049
 
1.0%
리 1864
 
0.9%
Other values (1130) 149599
70.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 156620
73.7%
Space Separator 40166
 
18.9%
Other Punctuation 4680
 
2.2%
Decimal Number 4072
 
1.9%
Close Punctuation 2034
 
1.0%
Open Punctuation 2033
 
1.0%
Uppercase Letter 1196
 
0.6%
Lowercase Letter 641
 
0.3%
Math Symbol 607
 
0.3%
Dash Punctuation 380
 
0.2%
Other values (6) 222
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 4754
 
3.0%
이 2677
 
1.7%
을 2491
 
1.6%
한 2476
 
1.6%
의 2283
 
1.5%
강 2201
 
1.4%
로 2049
 
1.3%
리 1864
 
1.2%
는 1833
 
1.2%
수 1830
 
1.2%
Other values (1015) 132162
84.4%
Uppercase Letter
ValueCountFrequency (%)
P 149
12.5%
T 129
 
10.8%
I 108
 
9.0%
S 95
 
7.9%
A 92
 
7.7%
D 78
 
6.5%
M 66
 
5.5%
E 55
 
4.6%
O 48
 
4.0%
C 46
 
3.8%
Other values (16) 330
27.6%
Lowercase Letter
ValueCountFrequency (%)
o 67
 
10.5%
e 66
 
10.3%
t 60
 
9.4%
a 56
 
8.7%
i 45
 
7.0%
r 43
 
6.7%
n 38
 
5.9%
s 28
 
4.4%
c 28
 
4.4%
h 27
 
4.2%
Other values (15) 183
28.5%
Other Punctuation
ValueCountFrequency (%)
, 2097
44.8%
. 975
20.8%
/ 605
 
12.9%
: 540
 
11.5%
& 122
 
2.6%
* 104
 
2.2%
， 79
 
1.7%
! 70
 
1.5%
· 44
 
0.9%
? 18
 
0.4%
Other values (8) 26
 
0.6%
Decimal Number
ValueCountFrequency (%)
0 1145
28.1%
1 836
20.5%
2 718
17.6%
3 374
 
9.2%
4 242
 
5.9%
5 200
 
4.9%
6 176
 
4.3%
8 167
 
4.1%
7 132
 
3.2%
9 82
 
2.0%
Math Symbol
ValueCountFrequency (%)
+ 328
54.0%
~ 127
 
20.9%
> 124
 
20.4%
< 12
 
2.0%
× 7
 
1.2%
∨ 7
 
1.2%
⇒ 1
 
0.2%
= 1
 
0.2%
Letter Number
ValueCountFrequency (%)
Ⅰ 10
62.5%
Ⅱ 3
 
18.8%
Ⅳ 1
 
6.2%
Ⅷ 1
 
6.2%
Ⅲ 1
 
6.2%
Close Punctuation
ValueCountFrequency (%)
) 1621
79.7%
] 405
 
19.9%
」 5
 
0.2%
』 3
 
0.1%
Open Punctuation
ValueCountFrequency (%)
( 1621
79.7%
[ 404
 
19.9%
「 5
 
0.2%
『 3
 
0.1%
Other Symbol
ValueCountFrequency (%)
○ 18
58.1%
♬ 6
 
19.4%
★ 5
 
16.1%
㈜ 2
 
6.5%
Other Number
ValueCountFrequency (%)
① 29
45.3%
② 28
43.8%
③ 7
 
10.9%
Space Separator
ValueCountFrequency (%)
40160
> 99.9%
　 6
 
< 0.1%
Final Punctuation
ValueCountFrequency (%)
’ 24
52.2%
” 22
47.8%
Initial Punctuation
ValueCountFrequency (%)
“ 22
61.1%
‘ 14
38.9%
Dash Punctuation
ValueCountFrequency (%)
- 380
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 156594
73.6%
Common 54176
 
25.5%
Latin 1853
 
0.9%
Han 28
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 4754
 
3.0%
이 2677
 
1.7%
을 2491
 
1.6%
한 2476
 
1.6%
의 2283
 
1.5%
강 2201
 
1.4%
로 2049
 
1.3%
리 1864
 
1.2%
는 1833
 
1.2%
수 1830
 
1.2%
Other values (999) 132136
84.4%
Common
ValueCountFrequency (%)
40160
74.1%
, 2097
 
3.9%
) 1621
 
3.0%
( 1621
 
3.0%
0 1145
 
2.1%
. 975
 
1.8%
1 836
 
1.5%
2 718
 
1.3%
/ 605
 
1.1%
: 540
 
1.0%
Other values (48) 3858
 
7.1%
Latin
ValueCountFrequency (%)
P 149
 
8.0%
T 129
 
7.0%
I 108
 
5.8%
S 95
 
5.1%
A 92
 
5.0%
D 78
 
4.2%
o 67
 
3.6%
M 66
 
3.6%
e 66
 
3.6%
t 60
 
3.2%
Other values (46) 943
50.9%
Han
ValueCountFrequency (%)
盆 4
14.3%
裁 4
14.3%
新 3
10.7%
小 2
 
7.1%
論 2
 
7.1%
茶 2
 
7.1%
理 1
 
3.6%
葯 1
 
3.6%
藥 1
 
3.6%
石 1
 
3.6%
Other values (7) 7
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 156588
73.6%
ASCII 55666
 
26.2%
None 155
 
0.1%
Punctuation 93
 
< 0.1%
Enclosed Alphanum 64
 
< 0.1%
CJK 25
 
< 0.1%
Geometric Shapes 18
 
< 0.1%
Number Forms 16
 
< 0.1%
Misc Symbols 11
 
< 0.1%
Math Operators 7
 
< 0.1%
Other values (3) 8
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
40160
72.1%
, 2097
 
3.8%
) 1621
 
2.9%
( 1621
 
2.9%
0 1145
 
2.1%
. 975
 
1.8%
1 836
 
1.5%
2 718
 
1.3%
/ 605
 
1.1%
: 540
 
1.0%
Other values (76) 5348
 
9.6%
Hangul
ValueCountFrequency (%)
기 4754
 
3.0%
이 2677
 
1.7%
을 2491
 
1.6%
한 2476
 
1.6%
의 2283
 
1.5%
강 2201
 
1.4%
로 2049
 
1.3%
리 1864
 
1.2%
는 1833
 
1.2%
수 1830
 
1.2%
Other values (997) 132130
84.4%
None
ValueCountFrequency (%)
， 79
51.0%
· 44
28.4%
× 7
 
4.5%
　 6
 
3.9%
「 5
 
3.2%
」 5
 
3.2%
『 3
 
1.9%
』 3
 
1.9%
㈜ 2
 
1.3%
＆ 1
 
0.6%
Enclosed Alphanum
ValueCountFrequency (%)
① 29
45.3%
② 28
43.8%
③ 7
 
10.9%
Punctuation
ValueCountFrequency (%)
’ 24
25.8%
” 22
23.7%
“ 22
23.7%
‘ 14
15.1%
※ 9
 
9.7%
′ 2
 
2.2%
Geometric Shapes
ValueCountFrequency (%)
○ 18
100.0%
Number Forms
ValueCountFrequency (%)
Ⅰ 10
62.5%
Ⅱ 3
 
18.8%
Ⅳ 1
 
6.2%
Ⅷ 1
 
6.2%
Ⅲ 1
 
6.2%
Math Operators
ValueCountFrequency (%)
∨ 7
100.0%
Misc Symbols
ValueCountFrequency (%)
♬ 6
54.5%
★ 5
45.5%
Compat Jamo
ValueCountFrequency (%)
ㆍ 4
100.0%
CJK
ValueCountFrequency (%)
盆 4
16.0%
裁 4
16.0%
新 3
12.0%
小 2
 
8.0%
茶 2
 
8.0%
理 1
 
4.0%
葯 1
 
4.0%
藥 1
 
4.0%
石 1
 
4.0%
定 1
 
4.0%
Other values (5) 5
20.0%
CJK Compat Ideographs
ValueCountFrequency (%)
論 2
66.7%
茶 1
33.3%
Arrows
ValueCountFrequency (%)
⇒ 1
100.0%

교육대상구분
Text

Distinct596
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-04T07:10:13.405525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length40
Mean length5.2739
Min length2

Characters and Unicode

Total characters52739
Distinct characters246
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique282 ?
Unique (%)2.8%

Sample

1st row성인
2nd row지역주민
3rd row군민 누구나
4th row만41세이상
5th row일반인
ValueCountFrequency (%)
성인 2344
18.9%
지역주민 2323
18.7%
누구나 503
 
4.0%
시민 322
 
2.6%
지역주민+성인 247
 
2.0%
이상 241
 
1.9%
및 238
 
1.9%
18세이상 208
 
1.7%
초등 202
 
1.6%
관내 169
 
1.4%
Other values (639) 5625
45.3%
2024-05-04T07:10:14.720378image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 4968
 
9.4%
민 4534
 
8.6%
성 3703
 
7.0%
주 3238
 
6.1%
+ 2746
 
5.2%
지 2723
 
5.2%
역 2712
 
5.1%
2423
 
4.6%
시 1041
 
2.0%
장 1005
 
1.9%
Other values (236) 23646
44.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44125
83.7%
Math Symbol 3027
 
5.7%
Space Separator 2423
 
4.6%
Decimal Number 1978
 
3.8%
Other Punctuation 546
 
1.0%
Open Punctuation 266
 
0.5%
Close Punctuation 266
 
0.5%
Dash Punctuation 108
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 4968
 
11.3%
민 4534
 
10.3%
성 3703
 
8.4%
주 3238
 
7.3%
지 2723
 
6.2%
역 2712
 
6.1%
시 1041
 
2.4%
장 1005
 
2.3%
구 989
 
2.2%
청 976
 
2.2%
Other values (214) 18236
41.3%
Decimal Number
ValueCountFrequency (%)
1 651
32.9%
8 352
17.8%
6 281
14.2%
3 158
 
8.0%
4 111
 
5.6%
2 98
 
5.0%
0 96
 
4.9%
9 94
 
4.8%
5 74
 
3.7%
7 63
 
3.2%
Other Punctuation
ValueCountFrequency (%)
/ 512
93.8%
, 29
 
5.3%
? 2
 
0.4%
， 1
 
0.2%
" 1
 
0.2%
& 1
 
0.2%
Math Symbol
ValueCountFrequency (%)
+ 2746
90.7%
~ 281
 
9.3%
Space Separator
ValueCountFrequency (%)
2423
100.0%
Open Punctuation
ValueCountFrequency (%)
( 266
100.0%
Close Punctuation
ValueCountFrequency (%)
) 266
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 108
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 44125
83.7%
Common 8614
 
16.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 4968
 
11.3%
민 4534
 
10.3%
성 3703
 
8.4%
주 3238
 
7.3%
지 2723
 
6.2%
역 2712
 
6.1%
시 1041
 
2.4%
장 1005
 
2.3%
구 989
 
2.2%
청 976
 
2.2%
Other values (214) 18236
41.3%
Common
ValueCountFrequency (%)
+ 2746
31.9%
2423
28.1%
1 651
 
7.6%
/ 512
 
5.9%
8 352
 
4.1%
~ 281
 
3.3%
6 281
 
3.3%
( 266
 
3.1%
) 266
 
3.1%
3 158
 
1.8%
Other values (12) 678
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 44125
83.7%
ASCII 8613
 
16.3%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 4968
 
11.3%
민 4534
 
10.3%
성 3703
 
8.4%
주 3238
 
7.3%
지 2723
 
6.2%
역 2712
 
6.1%
시 1041
 
2.4%
장 1005
 
2.3%
구 989
 
2.2%
청 976
 
2.2%
Other values (214) 18236
41.3%
ASCII
ValueCountFrequency (%)
+ 2746
31.9%
2423
28.1%
1 651
 
7.6%
/ 512
 
5.9%
8 352
 
4.1%
~ 281
 
3.3%
6 281
 
3.3%
( 266
 
3.1%
) 266
 
3.1%
3 158
 
1.8%
Other values (11) 677
 
7.9%
None
ValueCountFrequency (%)
， 1
100.0%

교육방법구분
Categorical

IMBALANCE 

Distinct10
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
오프라인
7087 
온라인
1808 
혼합
781 
온라인+오프라인
 
178
방문교육
 
121
Other values (5)
 
25

Length

Max length10
Median length4
Mean length3.7453
Min length2

Unique

Unique2 ?
Unique (%)< 0.1%

Sample

1st row오프라인
2nd row온라인
3rd row오프라인
4th row오프라인
5th row온라인

Common Values

ValueCountFrequency (%)
오프라인 7087
70.9%
온라인 1808
 
18.1%
혼합 781
 
7.8%
온라인+오프라인 178
 
1.8%
방문교육 121
 
1.2%
오프라인+방문교육 16
 
0.2%
오프라인+온라인 5
 
0.1%
온라인+모바일 2
 
< 0.1%
집밥 백서" 강좌 1
 
< 0.1%
모바일 1
 
< 0.1%

Length

2024-05-04T07:10:15.301816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:10:15.767103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
오프라인 7087
70.9%
온라인 1808
 
18.1%
혼합 781
 
7.8%
온라인+오프라인 178
 
1.8%
방문교육 121
 
1.2%
오프라인+방문교육 16
 
0.2%
오프라인+온라인 5
 
< 0.1%
온라인+모바일 2
 
< 0.1%
집밥 1
 
< 0.1%
백서 1
 
< 0.1%
Other values (2) 2
 
< 0.1%

운영요일
Text

MISSING 

Distinct152
Distinct (%)1.8%
Missing1713
Missing (%)17.1%
Memory size156.2 KiB
2024-05-04T07:10:16.550524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length1
Mean length2.0970194
Min length1

Characters and Unicode

Total characters17378
Distinct characters52
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique63 ?
Unique (%)0.8%

Sample

1st row매일
2nd row목
3rd row수
4th row월+수
5th row상시
ValueCountFrequency (%)
수 960
11.5%
화 935
11.2%
목 903
10.8%
월 726
 
8.7%
금 706
 
8.5%
토 573
 
6.9%
화+목 481
 
5.8%
상시 361
 
4.3%
연중무휴 342
 
4.1%
월+수 318
 
3.8%
Other values (123) 2041
24.5%
2024-05-04T07:10:18.100936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
+ 2305
13.3%
화 2108
12.1%
목 2066
11.9%
수 2001
11.5%
월 1628
9.4%
일 1415
8.1%
금 1405
8.1%
요 1198
6.9%
토 701
 
4.0%
상 361
 
2.1%
Other values (42) 2190
12.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14866
85.5%
Math Symbol 2336
 
13.4%
Other Punctuation 107
 
0.6%
Space Separator 59
 
0.3%
Open Punctuation 3
 
< 0.1%
Close Punctuation 3
 
< 0.1%
Decimal Number 3
 
< 0.1%
Connector Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
화 2108
14.2%
목 2066
13.9%
수 2001
13.5%
월 1628
11.0%
일 1415
9.5%
금 1405
9.5%
요 1198
8.1%
토 701
 
4.7%
상 361
 
2.4%
시 361
 
2.4%
Other values (30) 1622
10.9%
Other Punctuation
ValueCountFrequency (%)
, 90
84.1%
/ 14
 
13.1%
· 3
 
2.8%
Decimal Number
ValueCountFrequency (%)
2 1
33.3%
1 1
33.3%
4 1
33.3%
Math Symbol
ValueCountFrequency (%)
+ 2305
98.7%
~ 31
 
1.3%
Space Separator
ValueCountFrequency (%)
59
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14866
85.5%
Common 2512
 
14.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
화 2108
14.2%
목 2066
13.9%
수 2001
13.5%
월 1628
11.0%
일 1415
9.5%
금 1405
9.5%
요 1198
8.1%
토 701
 
4.7%
상 361
 
2.4%
시 361
 
2.4%
Other values (30) 1622
10.9%
Common
ValueCountFrequency (%)
+ 2305
91.8%
, 90
 
3.6%
59
 
2.3%
~ 31
 
1.2%
/ 14
 
0.6%
· 3
 
0.1%
( 3
 
0.1%
) 3
 
0.1%
2 1
 
< 0.1%
_ 1
 
< 0.1%
Other values (2) 2
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14866
85.5%
ASCII 2509
 
14.4%
None 3
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
+ 2305
91.9%
, 90
 
3.6%
59
 
2.4%
~ 31
 
1.2%
/ 14
 
0.6%
( 3
 
0.1%
) 3
 
0.1%
2 1
 
< 0.1%
_ 1
 
< 0.1%
1 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
화 2108
14.2%
목 2066
13.9%
수 2001
13.5%
월 1628
11.0%
일 1415
9.5%
금 1405
9.5%
요 1198
8.1%
토 701
 
4.7%
상 361
 
2.4%
시 361
 
2.4%
Other values (30) 1622
10.9%
None
ValueCountFrequency (%)
· 3
100.0%

교육장소
Text

MISSING 

Distinct1876
Distinct (%)20.0%
Missing599
Missing (%)6.0%
Memory size156.2 KiB
2024-05-04T07:10:18.867640image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length26
Mean length8.056377
Min length1

Characters and Unicode

Total characters75738
Distinct characters580
Distinct categories12 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1004 ?
Unique (%)10.7%

Sample

1st row군산시청
2nd row담양문화회관
3rd row시흥시 대야평색학습관
4th row온라인
5th row평택시 평생학습센터
ValueCountFrequency (%)
평생학습관 772
 
6.0%
온라인 759
 
5.9%
정읍시사이버평생학습관 342
 
2.7%
인터넷강의 252
 
2.0%
평생학습센터 244
 
1.9%
광명시여성비전센터 208
 
1.6%
2층 172
 
1.3%
군산시청 164
 
1.3%
아트센터달 153
 
1.2%
강의실 152
 
1.2%
Other values (2062) 9615
74.9%
2024-05-04T07:10:20.490987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
관 4085
 
5.4%
학 3467
 
4.6%
3451
 
4.6%
평 3441
 
4.5%
생 3381
 
4.5%
습 3238
 
4.3%
터 2280
 
3.0%
시 2094
 
2.8%
센 1898
 
2.5%
인 1435
 
1.9%
Other values (570) 46968
62.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 69235
91.4%
Space Separator 3451
 
4.6%
Decimal Number 1850
 
2.4%
Close Punctuation 369
 
0.5%
Open Punctuation 369
 
0.5%
Uppercase Letter 253
 
0.3%
Lowercase Letter 64
 
0.1%
Math Symbol 48
 
0.1%
Dash Punctuation 44
 
0.1%
Other Punctuation 37
 
< 0.1%
Other values (2) 18
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
관 4085
 
5.9%
학 3467
 
5.0%
평 3441
 
5.0%
생 3381
 
4.9%
습 3238
 
4.7%
터 2280
 
3.3%
시 2094
 
3.0%
센 1898
 
2.7%
인 1435
 
2.1%
교 1414
 
2.0%
Other values (517) 42502
61.4%
Uppercase Letter
ValueCountFrequency (%)
O 84
33.2%
M 42
16.6%
Z 39
15.4%
Y 14
 
5.5%
P 14
 
5.5%
D 13
 
5.1%
A 10
 
4.0%
B 9
 
3.6%
G 7
 
2.8%
I 4
 
1.6%
Other values (8) 17
 
6.7%
Lowercase Letter
ValueCountFrequency (%)
o 26
40.6%
m 15
23.4%
z 9
 
14.1%
k 4
 
6.2%
n 3
 
4.7%
j 2
 
3.1%
i 1
 
1.6%
u 1
 
1.6%
e 1
 
1.6%
r 1
 
1.6%
Decimal Number
ValueCountFrequency (%)
2 532
28.8%
1 468
25.3%
3 338
18.3%
0 168
 
9.1%
4 154
 
8.3%
5 78
 
4.2%
6 44
 
2.4%
7 37
 
2.0%
8 22
 
1.2%
9 9
 
0.5%
Other Punctuation
ValueCountFrequency (%)
· 16
43.2%
, 11
29.7%
/ 9
24.3%
. 1
 
2.7%
Close Punctuation
ValueCountFrequency (%)
) 349
94.6%
] 20
 
5.4%
Open Punctuation
ValueCountFrequency (%)
( 349
94.6%
[ 20
 
5.4%
Letter Number
ValueCountFrequency (%)
Ⅱ 7
70.0%
Ⅰ 3
30.0%
Space Separator
ValueCountFrequency (%)
3451
100.0%
Math Symbol
ValueCountFrequency (%)
+ 48
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 69235
91.4%
Common 6176
 
8.2%
Latin 327
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
관 4085
 
5.9%
학 3467
 
5.0%
평 3441
 
5.0%
생 3381
 
4.9%
습 3238
 
4.7%
터 2280
 
3.3%
시 2094
 
3.0%
센 1898
 
2.7%
인 1435
 
2.1%
교 1414
 
2.0%
Other values (517) 42502
61.4%
Latin
ValueCountFrequency (%)
O 84
25.7%
M 42
12.8%
Z 39
11.9%
o 26
 
8.0%
m 15
 
4.6%
Y 14
 
4.3%
P 14
 
4.3%
D 13
 
4.0%
A 10
 
3.1%
z 9
 
2.8%
Other values (21) 61
18.7%
Common
ValueCountFrequency (%)
3451
55.9%
2 532
 
8.6%
1 468
 
7.6%
) 349
 
5.7%
( 349
 
5.7%
3 338
 
5.5%
0 168
 
2.7%
4 154
 
2.5%
5 78
 
1.3%
+ 48
 
0.8%
Other values (12) 241
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 69235
91.4%
ASCII 6477
 
8.6%
None 16
 
< 0.1%
Number Forms 10
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
관 4085
 
5.9%
학 3467
 
5.0%
평 3441
 
5.0%
생 3381
 
4.9%
습 3238
 
4.7%
터 2280
 
3.3%
시 2094
 
3.0%
센 1898
 
2.7%
인 1435
 
2.1%
교 1414
 
2.0%
Other values (517) 42502
61.4%
ASCII
ValueCountFrequency (%)
3451
53.3%
2 532
 
8.2%
1 468
 
7.2%
) 349
 
5.4%
( 349
 
5.4%
3 338
 
5.2%
0 168
 
2.6%
4 154
 
2.4%
O 84
 
1.3%
5 78
 
1.2%
Other values (40) 506
 
7.8%
None
ValueCountFrequency (%)
· 16
100.0%
Number Forms
ValueCountFrequency (%)
Ⅱ 7
70.0%
Ⅰ 3
30.0%

강좌정원수
Real number (ℝ)

ZEROS 

Distinct78
Distinct (%)0.8%
Missing1
Missing (%)< 0.1%
Infinite0
Infinite (%)0.0%
Mean73.791679
Minimum0
Maximum2040
Zeros355
Zeros (%)3.5%
Negative0
Negative (%)0.0%
Memory size166.0 KiB
2024-05-04T07:10:21.099972image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile5
Q112
median15
Q320
95-th percentile500
Maximum2040
Range2040
Interquartile range (IQR)8

Descriptive statistics

Standard deviation215.54494
Coefficient of variation (CV)2.9209925
Kurtosis14.130319
Mean73.791679
Median Absolute Deviation (MAD)5
Skewness3.9250431
Sum737843
Variance46459.621
MonotonicityNot monotonic
2024-05-04T07:10:21.746505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
15 2183
21.8%
20 1739
17.4%
10 1229
12.3%
12 728
 
7.3%
100 513
 
5.1%
1000 472
 
4.7%
30 363
 
3.6%
16 361
 
3.6%
0 355
 
3.5%
8 232
 
2.3%
Other values (68) 1824
18.2%
ValueCountFrequency (%)
0 355
3.5%
1 10
 
0.1%
2 9
 
0.1%
3 26
 
0.3%
4 30
 
0.3%
5 213
2.1%
6 120
 
1.2%
7 102
 
1.0%
8 232
2.3%
9 52
 
0.5%
ValueCountFrequency (%)
2040 1
 
< 0.1%
1360 1
 
< 0.1%
1000 472
4.7%
702 1
 
< 0.1%
700 1
 
< 0.1%
600 2
 
< 0.1%
500 116
 
1.2%
350 1
 
< 0.1%
330 1
 
< 0.1%
320 1
 
< 0.1%

수강료
Text

Distinct144
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-04T07:10:22.401960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length1
Mean length2.8596
Min length1

Characters and Unicode

Total characters28596
Distinct characters21
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

Unique58 ?
Unique (%)0.6%

Sample

1st row0
2nd row0
3rd row0
4th row27000
5th row0
ValueCountFrequency (%)
0 5422
54.2%
30000 861
 
8.6%
40000 577
 
5.8%
60000 513
 
5.1%
20000 443
 
4.4%
50000 305
 
3.0%
45000 241
 
2.4%
10000 212
 
2.1%
80000 141
 
1.4%
25000 99
 
1.0%
Other values (134) 1186
 
11.9%
2024-05-04T07:10:23.383967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 22559
78.9%
5 1089
 
3.8%
4 1088
 
3.8%
3 1067
 
3.7%
2 943
 
3.3%
6 686
 
2.4%
1 675
 
2.4%
8 265
 
0.9%
7 138
 
0.5%
9 75
 
0.3%
Other values (11) 11
 
< 0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 28585
> 99.9%
Other Letter 9
 
< 0.1%
Math Symbol 1
 
< 0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 22559
78.9%
5 1089
 
3.8%
4 1088
 
3.8%
3 1067
 
3.7%
2 943
 
3.3%
6 686
 
2.4%
1 675
 
2.4%
8 265
 
0.9%
7 138
 
0.5%
9 75
 
0.3%
Other Letter
ValueCountFrequency (%)
평 1
11.1%
원 1
11.1%
육 1
11.1%
교 1
11.1%
생 1
11.1%
화 1
11.1%
문 1
11.1%
식 1
11.1%
지 1
11.1%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 28587
> 99.9%
Hangul 9
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 22559
78.9%
5 1089
 
3.8%
4 1088
 
3.8%
3 1067
 
3.7%
2 943
 
3.3%
6 686
 
2.4%
1 675
 
2.4%
8 265
 
0.9%
7 138
 
0.5%
9 75
 
0.3%
Other values (2) 2
 
< 0.1%
Hangul
ValueCountFrequency (%)
평 1
11.1%
원 1
11.1%
육 1
11.1%
교 1
11.1%
생 1
11.1%
화 1
11.1%
문 1
11.1%
식 1
11.1%
지 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 28587
> 99.9%
Hangul 9
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 22559
78.9%
5 1089
 
3.8%
4 1088
 
3.8%
3 1067
 
3.7%
2 943
 
3.3%
6 686
 
2.4%
1 675
 
2.4%
8 265
 
0.9%
7 138
 
0.5%
9 75
 
0.3%
Other values (2) 2
 
< 0.1%
Hangul
ValueCountFrequency (%)
평 1
11.1%
원 1
11.1%
육 1
11.1%
교 1
11.1%
생 1
11.1%
화 1
11.1%
문 1
11.1%
식 1
11.1%
지 1
11.1%

교육장도로명주소
Text

Distinct1950
Distinct (%)19.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-04T07:10:24.297292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length45
Mean length20.6001
Min length2

Characters and Unicode

Total characters206001
Distinct characters471
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1143 ?
Unique (%)11.4%

Sample

1st row경기도 오산시 경기대로 258 이다베이커리카페 2층 액터스엘아트센터(연기실)
2nd row전라북도 군산시 시청로 17
3rd row전라남도 담양군 담양읍 지침6길 29
4th row경기도 시흥시 은행로 173번길 14
5th row서울특별시 서초구 남부순환로 2364
ValueCountFrequency (%)
경기도 2220
 
4.9%
인천광역시 957
 
2.1%
대구광역시 900
 
2.0%
경상남도 699
 
1.5%
전북특별자치도 625
 
1.4%
강원특별자치도 564
 
1.2%
서울특별시 556
 
1.2%
전라북도 543
 
1.2%
남동구 489
 
1.1%
경상북도 483
 
1.1%
Other values (2985) 37541
82.4%
2024-05-04T07:10:25.667890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35617
 
17.3%
시 9230
 
4.5%
로 8504
 
4.1%
도 7326
 
3.6%
1 7037
 
3.4%
2 5427
 
2.6%
구 5253
 
2.5%
경 3790
 
1.8%
길 3596
 
1.7%
3 3512
 
1.7%
Other values (461) 116709
56.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 133180
64.7%
Space Separator 35617
 
17.3%
Decimal Number 33237
 
16.1%
Close Punctuation 1187
 
0.6%
Open Punctuation 1185
 
0.6%
Dash Punctuation 853
 
0.4%
Other Punctuation 687
 
0.3%
Uppercase Letter 51
 
< 0.1%
Math Symbol 3
 
< 0.1%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 9230
 
6.9%
로 8504
 
6.4%
도 7326
 
5.5%
구 5253
 
3.9%
경 3790
 
2.8%
길 3596
 
2.7%
광 3483
 
2.6%
동 2974
 
2.2%
남 2806
 
2.1%
산 2680
 
2.0%
Other values (430) 83538
62.7%
Uppercase Letter
ValueCountFrequency (%)
O 10
19.6%
A 9
17.6%
I 8
15.7%
M 6
11.8%
Z 5
9.8%
F 4
 
7.8%
S 3
 
5.9%
B 2
 
3.9%
J 1
 
2.0%
K 1
 
2.0%
Other values (2) 2
 
3.9%
Decimal Number
ValueCountFrequency (%)
1 7037
21.2%
2 5427
16.3%
3 3512
10.6%
5 3507
10.6%
0 2568
 
7.7%
4 2507
 
7.5%
7 2399
 
7.2%
6 2393
 
7.2%
8 1982
 
6.0%
9 1905
 
5.7%
Other Punctuation
ValueCountFrequency (%)
, 678
98.7%
. 9
 
1.3%
Math Symbol
ValueCountFrequency (%)
~ 2
66.7%
+ 1
33.3%
Space Separator
ValueCountFrequency (%)
35617
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1187
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1185
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 853
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 133181
64.7%
Common 72769
35.3%
Latin 51
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 9230
 
6.9%
로 8504
 
6.4%
도 7326
 
5.5%
구 5253
 
3.9%
경 3790
 
2.8%
길 3596
 
2.7%
광 3483
 
2.6%
동 2974
 
2.2%
남 2806
 
2.1%
산 2680
 
2.0%
Other values (431) 83539
62.7%
Common
ValueCountFrequency (%)
35617
48.9%
1 7037
 
9.7%
2 5427
 
7.5%
3 3512
 
4.8%
5 3507
 
4.8%
0 2568
 
3.5%
4 2507
 
3.4%
7 2399
 
3.3%
6 2393
 
3.3%
8 1982
 
2.7%
Other values (8) 5820
 
8.0%
Latin
ValueCountFrequency (%)
O 10
19.6%
A 9
17.6%
I 8
15.7%
M 6
11.8%
Z 5
9.8%
F 4
 
7.8%
S 3
 
5.9%
B 2
 
3.9%
J 1
 
2.0%
K 1
 
2.0%
Other values (2) 2
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 133180
64.7%
ASCII 72820
35.3%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35617
48.9%
1 7037
 
9.7%
2 5427
 
7.5%
3 3512
 
4.8%
5 3507
 
4.8%
0 2568
 
3.5%
4 2507
 
3.4%
7 2399
 
3.3%
6 2393
 
3.3%
8 1982
 
2.7%
Other values (20) 5871
 
8.1%
Hangul
ValueCountFrequency (%)
시 9230
 
6.9%
로 8504
 
6.4%
도 7326
 
5.5%
구 5253
 
3.9%
경 3790
 
2.8%
길 3596
 
2.7%
광 3483
 
2.6%
동 2974
 
2.2%
남 2806
 
2.1%
산 2680
 
2.0%
Other values (430) 83538
62.7%
None
ValueCountFrequency (%)
㈜ 1
100.0%

운영기관명
Text

Distinct747
Distinct (%)7.5%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-04T07:10:26.353014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length21
Mean length11.1641
Min length1

Characters and Unicode

Total characters111641
Distinct characters342
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique147 ?
Unique (%)1.5%

Sample

1st row경기도 오산시 평생학습관
2nd row전라북도 군산시청
3rd row전라남도 담양군청
4th row경기도 시흥시 평생교육원(대야평생학습관)
5th row국립국악원
ValueCountFrequency (%)
경기도 1135
 
6.0%
평생학습관 982
 
5.2%
전북특별자치도 509
 
2.7%
전라북도 440
 
2.3%
인천인재평생교육진흥원 432
 
2.3%
서울특별시 430
 
2.3%
군산시청 415
 
2.2%
인천광역시 374
 
2.0%
광명시 358
 
1.9%
정읍시청 342
 
1.8%
Other values (771) 13465
71.3%
2024-05-04T07:10:27.932064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8882
 
8.0%
시 6079
 
5.4%
도 5761
 
5.2%
청 4563
 
4.1%
평 3594
 
3.2%
생 3549
 
3.2%
관 3104
 
2.8%
교 3052
 
2.7%
육 2929
 
2.6%
원 2899
 
2.6%
Other values (332) 67229
60.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 102292
91.6%
Space Separator 8882
 
8.0%
Decimal Number 275
 
0.2%
Open Punctuation 84
 
0.1%
Close Punctuation 84
 
0.1%
Uppercase Letter 16
 
< 0.1%
Math Symbol 4
 
< 0.1%
Lowercase Letter 2
 
< 0.1%
Dash Punctuation 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 6079
 
5.9%
도 5761
 
5.6%
청 4563
 
4.5%
평 3594
 
3.5%
생 3549
 
3.5%
관 3104
 
3.0%
교 3052
 
3.0%
육 2929
 
2.9%
원 2899
 
2.8%
학 2469
 
2.4%
Other values (311) 64293
62.9%
Decimal Number
ValueCountFrequency (%)
1 108
39.3%
2 97
35.3%
3 26
 
9.5%
5 16
 
5.8%
6 12
 
4.4%
8 6
 
2.2%
7 5
 
1.8%
4 3
 
1.1%
9 1
 
0.4%
0 1
 
0.4%
Uppercase Letter
ValueCountFrequency (%)
O 10
62.5%
C 2
 
12.5%
F 2
 
12.5%
L 2
 
12.5%
Space Separator
ValueCountFrequency (%)
8882
100.0%
Open Punctuation
ValueCountFrequency (%)
( 84
100.0%
Close Punctuation
ValueCountFrequency (%)
) 84
100.0%
Math Symbol
ValueCountFrequency (%)
+ 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
n 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 102292
91.6%
Common 9331
 
8.4%
Latin 18
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 6079
 
5.9%
도 5761
 
5.6%
청 4563
 
4.5%
평 3594
 
3.5%
생 3549
 
3.5%
관 3104
 
3.0%
교 3052
 
3.0%
육 2929
 
2.9%
원 2899
 
2.8%
학 2469
 
2.4%
Other values (311) 64293
62.9%
Common
ValueCountFrequency (%)
8882
95.2%
1 108
 
1.2%
2 97
 
1.0%
( 84
 
0.9%
) 84
 
0.9%
3 26
 
0.3%
5 16
 
0.2%
6 12
 
0.1%
8 6
 
0.1%
7 5
 
0.1%
Other values (6) 11
 
0.1%
Latin
ValueCountFrequency (%)
O 10
55.6%
C 2
 
11.1%
n 2
 
11.1%
F 2
 
11.1%
L 2
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 102286
91.6%
ASCII 9349
 
8.4%
Compat Jamo 6
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
8882
95.0%
1 108
 
1.2%
2 97
 
1.0%
( 84
 
0.9%
) 84
 
0.9%
3 26
 
0.3%
5 16
 
0.2%
6 12
 
0.1%
O 10
 
0.1%
8 6
 
0.1%
Other values (11) 24
 
0.3%
Hangul
ValueCountFrequency (%)
시 6079
 
5.9%
도 5761
 
5.6%
청 4563
 
4.5%
평 3594
 
3.5%
생 3549
 
3.5%
관 3104
 
3.0%
교 3052
 
3.0%
육 2929
 
2.9%
원 2899
 
2.8%
학 2469
 
2.4%
Other values (310) 64287
62.9%
Compat Jamo
ValueCountFrequency (%)
ㆍ 6
100.0%

운영기관전화번호
Text

Distinct908
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-04T07:10:28.663322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length12
Mean length12.0374
Min length11

Characters and Unicode

Total characters120374
Distinct characters23
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

Unique228 ?
Unique (%)2.3%

Sample

1st row031-8036-7830
2nd row063-454-5960
3rd row061-380-3181
4th row031-310-2536
5th row02-580-3086
ValueCountFrequency (%)
032-722-7200 432
 
4.3%
063-539-5593 342
 
3.4%
063-454-2600 251
 
2.5%
02-2680-2881 229
 
2.3%
064-760-3872 184
 
1.8%
063-454-5960 164
 
1.6%
053-267-6111 153
 
1.5%
053-215-1880 146
 
1.5%
031-828-2114 121
 
1.2%
032-770-6823 115
 
1.1%
Other values (901) 7866
78.6%
2024-05-04T07:10:29.900402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 20942
17.4%
- 19998
16.6%
3 14720
12.2%
2 11018
9.2%
5 10235
8.5%
6 8865
7.4%
4 8568
7.1%
1 7733
 
6.4%
8 7411
 
6.2%
7 6378
 
5.3%
Other values (13) 4506
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 100360
83.4%
Dash Punctuation 19998
 
16.6%
Other Letter 13
 
< 0.1%
Space Separator 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 2
15.4%
구 2
15.4%
광 1
7.7%
역 1
7.7%
시 1
7.7%
북 1
7.7%
칠 1
7.7%
곡 1
7.7%
중 1
7.7%
앙 1
7.7%
Decimal Number
ValueCountFrequency (%)
0 20942
20.9%
3 14720
14.7%
2 11018
11.0%
5 10235
10.2%
6 8865
8.8%
4 8568
8.5%
1 7733
 
7.7%
8 7411
 
7.4%
7 6378
 
6.4%
9 4490
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 19998
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 120361
> 99.9%
Hangul 13
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 20942
17.4%
- 19998
16.6%
3 14720
12.2%
2 11018
9.2%
5 10235
8.5%
6 8865
7.4%
4 8568
7.1%
1 7733
 
6.4%
8 7411
 
6.2%
7 6378
 
5.3%
Other values (2) 4493
 
3.7%
Hangul
ValueCountFrequency (%)
대 2
15.4%
구 2
15.4%
광 1
7.7%
역 1
7.7%
시 1
7.7%
북 1
7.7%
칠 1
7.7%
곡 1
7.7%
중 1
7.7%
앙 1
7.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 120361
> 99.9%
Hangul 13
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 20942
17.4%
- 19998
16.6%
3 14720
12.2%
2 11018
9.2%
5 10235
8.5%
6 8865
7.4%
4 8568
7.1%
1 7733
 
6.4%
8 7411
 
6.2%
7 6378
 
5.3%
Other values (2) 4493
 
3.7%
Hangul
ValueCountFrequency (%)
대 2
15.4%
구 2
15.4%
광 1
7.7%
역 1
7.7%
시 1
7.7%
북 1
7.7%
칠 1
7.7%
곡 1
7.7%
중 1
7.7%
앙 1
7.7%

접수시작일자
Text

MISSING 

Distinct667
Distinct (%)8.5%
Missing2116
Missing (%)21.2%
Memory size156.2 KiB
2024-05-04T07:10:30.875854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9998732
Min length9

Characters and Unicode

Total characters78839
Distinct characters20
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

Unique166 ?
Unique (%)2.1%

Sample

1st row2023-01-01
2nd row2018-07-19
3rd row2024-02-15
4th row2022-01-01
5th row2023-12-04
ValueCountFrequency (%)
2023-01-01 473
 
6.0%
2024-01-01 427
 
5.4%
2024-02-13 202
 
2.6%
2024-01-29 111
 
1.4%
2023-02-06 103
 
1.3%
2018-04-30 99
 
1.3%
2023-02-14 98
 
1.2%
2024-02-14 98
 
1.2%
2023-08-16 95
 
1.2%
2023-08-14 94
 
1.2%
Other values (657) 6084
77.2%
2024-05-04T07:10:32.347768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 20692
26.2%
0 18711
23.7%
- 15766
20.0%
1 8826
11.2%
3 6093
 
7.7%
4 2801
 
3.6%
8 1605
 
2.0%
7 1282
 
1.6%
6 1084
 
1.4%
9 997
 
1.3%
Other values (10) 982
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 63064
80.0%
Dash Punctuation 15766
 
20.0%
Other Letter 9
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 20692
32.8%
0 18711
29.7%
1 8826
14.0%
3 6093
 
9.7%
4 2801
 
4.4%
8 1605
 
2.5%
7 1282
 
2.0%
6 1084
 
1.7%
9 997
 
1.6%
5 973
 
1.5%
Other Letter
ValueCountFrequency (%)
지 1
11.1%
식 1
11.1%
문 1
11.1%
화 1
11.1%
평 1
11.1%
생 1
11.1%
교 1
11.1%
육 1
11.1%
원 1
11.1%
Dash Punctuation
ValueCountFrequency (%)
- 15766
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 78830
> 99.9%
Hangul 9
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
2 20692
26.2%
0 18711
23.7%
- 15766
20.0%
1 8826
11.2%
3 6093
 
7.7%
4 2801
 
3.6%
8 1605
 
2.0%
7 1282
 
1.6%
6 1084
 
1.4%
9 997
 
1.3%
Hangul
ValueCountFrequency (%)
지 1
11.1%
식 1
11.1%
문 1
11.1%
화 1
11.1%
평 1
11.1%
생 1
11.1%
교 1
11.1%
육 1
11.1%
원 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 78830
> 99.9%
Hangul 9
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 20692
26.2%
0 18711
23.7%
- 15766
20.0%
1 8826
11.2%
3 6093
 
7.7%
4 2801
 
3.6%
8 1605
 
2.0%
7 1282
 
1.6%
6 1084
 
1.4%
9 997
 
1.3%
Hangul
ValueCountFrequency (%)
지 1
11.1%
식 1
11.1%
문 1
11.1%
화 1
11.1%
평 1
11.1%
생 1
11.1%
교 1
11.1%
육 1
11.1%
원 1
11.1%

접수종료일자
Text

MISSING 

Distinct853
Distinct (%)10.9%
Missing2148
Missing (%)21.5%
Memory size156.2 KiB
2024-05-04T07:10:33.207509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length10.000255
Min length10

Characters and Unicode

Total characters78522
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

Unique271 ?
Unique (%)3.5%

Sample

1st row2023-12-31
2nd row2018-07-19
3rd row2024-02-22
4th row2022-12-31
5th row2023-12-12
ValueCountFrequency (%)
2024-12-31 533
 
6.8%
2023-12-31 467
 
5.9%
2024-02-22 107
 
1.4%
2018-05-26 99
 
1.3%
2023-08-31 97
 
1.2%
2023-12-12 94
 
1.2%
2023-02-28 78
 
1.0%
2023-03-23 77
 
1.0%
2023-08-25 72
 
0.9%
2023-02-10 70
 
0.9%
Other values (843) 6158
78.4%
2024-05-04T07:10:34.579162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 22730
28.9%
0 15957
20.3%
- 15704
20.0%
1 7871
 
10.0%
3 7397
 
9.4%
4 2581
 
3.3%
8 1870
 
2.4%
7 1282
 
1.6%
9 1076
 
1.4%
6 1048
 
1.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 62818
80.0%
Dash Punctuation 15704
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 22730
36.2%
0 15957
25.4%
1 7871
 
12.5%
3 7397
 
11.8%
4 2581
 
4.1%
8 1870
 
3.0%
7 1282
 
2.0%
9 1076
 
1.7%
6 1048
 
1.7%
5 1006
 
1.6%
Dash Punctuation
ValueCountFrequency (%)
- 15704
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 78522
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 22730
28.9%
0 15957
20.3%
- 15704
20.0%
1 7871
 
10.0%
3 7397
 
9.4%
4 2581
 
3.3%
8 1870
 
2.4%
7 1282
 
1.6%
9 1076
 
1.4%
6 1048
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 78522
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 22730
28.9%
0 15957
20.3%
- 15704
20.0%
1 7871
 
10.0%
3 7397
 
9.4%
4 2581
 
3.3%
8 1870
 
2.4%
7 1282
 
1.6%
9 1076
 
1.4%
6 1048
 
1.3%

접수방법구분
Text

Distinct149
Distinct (%)1.5%
Missing1
Missing (%)< 0.1%
Memory size156.2 KiB
2024-05-04T07:10:35.217124image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length3
Mean length4.7326733
Min length2

Characters and Unicode

Total characters47322
Distinct characters96
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)0.2%

Sample

1st row온라인
2nd row인터넷
3rd row방문접수
4th row인터넷
5th row인터넷
ValueCountFrequency (%)
인터넷 4044
38.0%
온라인 1830
17.2%
방문접수 537
 
5.1%
인터넷접수 439
 
4.1%
온라인접수 365
 
3.4%
온라인+오프라인 364
 
3.4%
인터넷+방문접수 352
 
3.3%
접수 257
 
2.4%
인터넷접수+방문접수 167
 
1.6%
방문+전화접수 157
 
1.5%
Other values (122) 2119
19.9%
2024-05-04T07:10:36.454459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 9052
19.1%
터 5803
12.3%
넷 5803
12.3%
접 3603
 
7.6%
수 3560
 
7.5%
라 3249
 
6.9%
온 2795
 
5.9%
+ 2671
 
5.6%
문 2139
 
4.5%
방 2100
 
4.4%
Other values (86) 6547
13.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 43759
92.5%
Math Symbol 2671
 
5.6%
Space Separator 632
 
1.3%
Other Punctuation 60
 
0.1%
Close Punctuation 55
 
0.1%
Open Punctuation 55
 
0.1%
Lowercase Letter 54
 
0.1%
Decimal Number 20
 
< 0.1%
Dash Punctuation 10
 
< 0.1%
Uppercase Letter 6
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 9052
20.7%
터 5803
13.3%
넷 5803
13.3%
접 3603
 
8.2%
수 3560
 
8.1%
라 3249
 
7.4%
온 2795
 
6.4%
문 2139
 
4.9%
방 2100
 
4.8%
전 1159
 
2.6%
Other values (68) 4496
10.3%
Lowercase Letter
ValueCountFrequency (%)
e 14
25.9%
a 10
18.5%
m 10
18.5%
i 10
18.5%
l 10
18.5%
Other Punctuation
ValueCountFrequency (%)
, 57
95.0%
· 2
 
3.3%
/ 1
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
X 2
33.3%
A 2
33.3%
F 2
33.3%
Decimal Number
ValueCountFrequency (%)
2 10
50.0%
1 10
50.0%
Math Symbol
ValueCountFrequency (%)
+ 2671
100.0%
Space Separator
ValueCountFrequency (%)
632
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 43759
92.5%
Common 3503
 
7.4%
Latin 60
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 9052
20.7%
터 5803
13.3%
넷 5803
13.3%
접 3603
 
8.2%
수 3560
 
8.1%
라 3249
 
7.4%
온 2795
 
6.4%
문 2139
 
4.9%
방 2100
 
4.8%
전 1159
 
2.6%
Other values (68) 4496
10.3%
Common
ValueCountFrequency (%)
+ 2671
76.2%
632
 
18.0%
, 57
 
1.6%
) 55
 
1.6%
( 55
 
1.6%
- 10
 
0.3%
2 10
 
0.3%
1 10
 
0.3%
· 2
 
0.1%
/ 1
 
< 0.1%
Latin
ValueCountFrequency (%)
e 14
23.3%
a 10
16.7%
m 10
16.7%
i 10
16.7%
l 10
16.7%
X 2
 
3.3%
A 2
 
3.3%
F 2
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 43759
92.5%
ASCII 3561
 
7.5%
None 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 9052
20.7%
터 5803
13.3%
넷 5803
13.3%
접 3603
 
8.2%
수 3560
 
8.1%
라 3249
 
7.4%
온 2795
 
6.4%
문 2139
 
4.9%
방 2100
 
4.8%
전 1159
 
2.6%
Other values (68) 4496
10.3%
ASCII
ValueCountFrequency (%)
+ 2671
75.0%
632
 
17.7%
, 57
 
1.6%
) 55
 
1.5%
( 55
 
1.5%
e 14
 
0.4%
a 10
 
0.3%
m 10
 
0.3%
- 10
 
0.3%
i 10
 
0.3%
Other values (7) 37
 
1.0%
None
ValueCountFrequency (%)
· 2
100.0%

선정방법구분
Text

MISSING 

Distinct54
Distinct (%)0.7%
Missing1973
Missing (%)19.7%
Memory size156.2 KiB
2024-05-04T07:10:37.003783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length3
Mean length3.4932104
Min length2

Characters and Unicode

Total characters28040
Distinct characters116
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique9 ?
Unique (%)0.1%

Sample

1st row선착순
2nd row선착순
3rd row선착순
4th row선착순
5th row초과모집시 추첨
ValueCountFrequency (%)
선착순 6195
70.4%
추첨 728
 
8.3%
제한없음 351
 
4.0%
추첨+선착순 144
 
1.6%
접수 134
 
1.5%
전산추첨 127
 
1.4%
전자추첨 90
 
1.0%
추첨(미달시 71
 
0.8%
컴퓨터 70
 
0.8%
선발 69
 
0.8%
Other values (67) 822
 
9.3%
2024-05-04T07:10:38.167496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
선 6604
23.6%
순 6486
23.1%
착 6381
22.8%
추 1309
 
4.7%
첨 1308
 
4.7%
774
 
2.8%
제 450
 
1.6%
한 351
 
1.3%
없 351
 
1.3%
음 351
 
1.3%
Other values (106) 3675
13.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 26880
95.9%
Space Separator 774
 
2.8%
Math Symbol 175
 
0.6%
Open Punctuation 103
 
0.4%
Close Punctuation 103
 
0.4%
Other Punctuation 4
 
< 0.1%
Decimal Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
선 6604
24.6%
순 6486
24.1%
착 6381
23.7%
추 1309
 
4.9%
첨 1308
 
4.9%
제 450
 
1.7%
한 351
 
1.3%
없 351
 
1.3%
음 351
 
1.3%
전 229
 
0.9%
Other values (100) 3060
11.4%
Space Separator
ValueCountFrequency (%)
774
100.0%
Math Symbol
ValueCountFrequency (%)
+ 175
100.0%
Open Punctuation
ValueCountFrequency (%)
( 103
100.0%
Close Punctuation
ValueCountFrequency (%)
) 103
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 4
100.0%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 26880
95.9%
Common 1160
 
4.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
선 6604
24.6%
순 6486
24.1%
착 6381
23.7%
추 1309
 
4.9%
첨 1308
 
4.9%
제 450
 
1.7%
한 351
 
1.3%
없 351
 
1.3%
음 351
 
1.3%
전 229
 
0.9%
Other values (100) 3060
11.4%
Common
ValueCountFrequency (%)
774
66.7%
+ 175
 
15.1%
( 103
 
8.9%
) 103
 
8.9%
/ 4
 
0.3%
2 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 26880
95.9%
ASCII 1160
 
4.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
선 6604
24.6%
순 6486
24.1%
착 6381
23.7%
추 1309
 
4.9%
첨 1308
 
4.9%
제 450
 
1.7%
한 351
 
1.3%
없 351
 
1.3%
음 351
 
1.3%
전 229
 
0.9%
Other values (100) 3060
11.4%
ASCII
ValueCountFrequency (%)
774
66.7%
+ 175
 
15.1%
( 103
 
8.9%
) 103
 
8.9%
/ 4
 
0.3%
2 1
 
0.1%

홈페이지주소
Text

MISSING 

Distinct478
Distinct (%)5.6%
Missing1458
Missing (%)14.6%
Memory size156.2 KiB
2024-05-04T07:10:38.879542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length158
Median length71
Mean length28.185203
Min length3

Characters and Unicode

Total characters240758
Distinct characters85
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique79 ?
Unique (%)0.9%

Sample

1st rowcyberedu.gunsan.go.kr
2nd rowhttp://www.damyang.go.kr/edu
3rd rowhttps://www.siheung.go.kr/edu/main.do
4th rowhttp://academy.gugak.go.kr/course/active/detail.do?courseActiveSeq=410&srchCategoryTypeCd=CATEGORY_TYPE::NONDEGREE&courseMasterSeq=410&currentMenuId=900001001
5th rowhttps://www.pyeongtaek.go.kr/learning/
ValueCountFrequency (%)
https://incheon.hunet.co.kr 432
 
5.1%
cyberedu.gunsan.go.kr 415
 
4.9%
http://jeongeup.dongacc.com 342
 
4.0%
https://www.yangju.go.kr/lll/index.do 228
 
2.7%
https://woman.gm.go.kr 208
 
2.4%
sugang.ull.or.kr 197
 
2.3%
http://edu.seogwipo.go.kr 184
 
2.2%
www.ull.or.kr/lifeedu/index.do 170
 
2.0%
http://yes.gimhae.go.kr 143
 
1.7%
lll.suseong.kr 127
 
1.5%
Other values (469) 6108
71.4%
2024-05-04T07:10:40.315902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 26438
 
11.0%
/ 20701
 
8.6%
g 15164
 
6.3%
o 15163
 
6.3%
t 13776
 
5.7%
e 12627
 
5.2%
n 11982
 
5.0%
w 11453
 
4.8%
r 10735
 
4.5%
l 9061
 
3.8%
Other values (75) 93658
38.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 180649
75.0%
Other Punctuation 53900
 
22.4%
Decimal Number 3402
 
1.4%
Uppercase Letter 2057
 
0.9%
Math Symbol 486
 
0.2%
Connector Punctuation 121
 
0.1%
Other Letter 105
 
< 0.1%
Dash Punctuation 14
 
< 0.1%
Space Separator 12
 
< 0.1%
Open Punctuation 6
 
< 0.1%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
g 15164
 
8.4%
o 15163
 
8.4%
t 13776
 
7.6%
e 12627
 
7.0%
n 11982
 
6.6%
w 11453
 
6.3%
r 10735
 
5.9%
l 9061
 
5.0%
k 8999
 
5.0%
h 8841
 
4.9%
Other values (15) 62848
34.8%
Other Letter
ValueCountFrequency (%)
도 12
 
11.4%
서 6
 
5.7%
관 6
 
5.7%
다 6
 
5.7%
경 6
 
5.7%
상 6
 
5.7%
남 6
 
5.7%
교 6
 
5.7%
육 6
 
5.7%
청 6
 
5.7%
Other values (9) 39
37.1%
Uppercase Letter
ValueCountFrequency (%)
I 284
13.8%
E 221
10.7%
D 179
8.7%
C 176
 
8.6%
M 159
 
7.7%
W 148
 
7.2%
T 143
 
7.0%
R 130
 
6.3%
S 92
 
4.5%
Y 83
 
4.0%
Other values (8) 442
21.5%
Decimal Number
ValueCountFrequency (%)
0 1400
41.2%
1 439
 
12.9%
2 283
 
8.3%
6 245
 
7.2%
9 231
 
6.8%
7 211
 
6.2%
8 203
 
6.0%
5 164
 
4.8%
3 136
 
4.0%
4 90
 
2.6%
Other Punctuation
ValueCountFrequency (%)
. 26438
49.1%
/ 20701
38.4%
: 6203
 
11.5%
& 299
 
0.6%
? 190
 
0.4%
; 45
 
0.1%
, 24
 
< 0.1%
Math Symbol
ValueCountFrequency (%)
= 486
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 121
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 182706
75.9%
Common 57947
 
24.1%
Hangul 105
 
< 0.1%

Most frequent character per script

Latin
ValueCountFrequency (%)
g 15164
 
8.3%
o 15163
 
8.3%
t 13776
 
7.5%
e 12627
 
6.9%
n 11982
 
6.6%
w 11453
 
6.3%
r 10735
 
5.9%
l 9061
 
5.0%
k 8999
 
4.9%
h 8841
 
4.8%
Other values (33) 64905
35.5%
Common
ValueCountFrequency (%)
. 26438
45.6%
/ 20701
35.7%
: 6203
 
10.7%
0 1400
 
2.4%
= 486
 
0.8%
1 439
 
0.8%
& 299
 
0.5%
2 283
 
0.5%
6 245
 
0.4%
9 231
 
0.4%
Other values (13) 1222
 
2.1%
Hangul
ValueCountFrequency (%)
도 12
 
11.4%
서 6
 
5.7%
관 6
 
5.7%
다 6
 
5.7%
경 6
 
5.7%
상 6
 
5.7%
남 6
 
5.7%
교 6
 
5.7%
육 6
 
5.7%
청 6
 
5.7%
Other values (9) 39
37.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 240653
> 99.9%
Hangul 105
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 26438
 
11.0%
/ 20701
 
8.6%
g 15164
 
6.3%
o 15163
 
6.3%
t 13776
 
5.7%
e 12627
 
5.2%
n 11982
 
5.0%
w 11453
 
4.8%
r 10735
 
4.5%
l 9061
 
3.8%
Other values (56) 93553
38.9%
Hangul
ValueCountFrequency (%)
도 12
 
11.4%
서 6
 
5.7%
관 6
 
5.7%
다 6
 
5.7%
경 6
 
5.7%
상 6
 
5.7%
남 6
 
5.7%
교 6
 
5.7%
육 6
 
5.7%
청 6
 
5.7%
Other values (9) 39
37.1%

직업능력개발훈련비지원강좌여부
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
N
7872 
2108 
Y
 
19
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0003
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row
2nd rowN
3rd rowN
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N 7872
78.7%
2108
 
21.1%
Y 19
 
0.2%
<NA> 1
 
< 0.1%

Length

2024-05-04T07:10:41.042001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:10:41.443467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 7872
99.7%
y 19
 
0.2%
na 1
 
< 0.1%

학점은행제평가(학점)인정여부
Categorical

IMBALANCE 

Distinct4
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
N
8035 
1930 
Y
 
34
<NA>
 
1

Length

Max length4
Median length1
Mean length1.0003
Min length1

Unique

Unique1 ?
Unique (%)< 0.1%

Sample

1st row
2nd rowN
3rd rowN
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N 8035
80.3%
1930
 
19.3%
Y 34
 
0.3%
<NA> 1
 
< 0.1%

Length

2024-05-04T07:10:42.056453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:10:42.454249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 8035
99.6%
y 34
 
0.4%
na 1
 
< 0.1%

평생학습계좌제평가인정여부
Categorical

Distinct3
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
N
7850 
1973 
Y
 
177

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row
2nd rowN
3rd rowN
4th rowN
5th rowN

Common Values

ValueCountFrequency (%)
N 7850
78.5%
1973
 
19.7%
Y 177
 
1.8%

Length

2024-05-04T07:10:42.929934image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-04T07:10:43.224216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
n 7850
97.8%
y 177
 
2.2%

데이터기준일자
Text

Distinct183
Distinct (%)1.8%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-04T07:10:43.943933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9991
Min length1

Characters and Unicode

Total characters99991
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)0.1%

Sample

1st row2023-08-14
2nd row2023-11-07
3rd row2022-11-10
4th row2024-03-01
5th row2023-10-12
ValueCountFrequency (%)
2024-02-27 700
 
7.0%
2024-01-01 511
 
5.1%
2022-11-09 387
 
3.9%
2023-09-11 367
 
3.7%
2023-12-01 348
 
3.5%
2023-12-11 277
 
2.8%
2024-02-05 251
 
2.5%
2023-08-22 214
 
2.1%
2024-02-07 213
 
2.1%
2024-03-13 207
 
2.1%
Other values (172) 6524
65.2%
2024-05-04T07:10:45.590426image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 27771
27.8%
0 22501
22.5%
- 19998
20.0%
1 10774
 
10.8%
4 6150
 
6.2%
3 5775
 
5.8%
7 1992
 
2.0%
9 1592
 
1.6%
8 1326
 
1.3%
5 1181
 
1.2%
Other values (2) 931
 
0.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 79992
80.0%
Dash Punctuation 19998
 
20.0%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 27771
34.7%
0 22501
28.1%
1 10774
 
13.5%
4 6150
 
7.7%
3 5775
 
7.2%
7 1992
 
2.5%
9 1592
 
2.0%
8 1326
 
1.7%
5 1181
 
1.5%
6 930
 
1.2%
Dash Punctuation
ValueCountFrequency (%)
- 19998
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 99991
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 27771
27.8%
0 22501
22.5%
- 19998
20.0%
1 10774
 
10.8%
4 6150
 
6.2%
3 5775
 
5.8%
7 1992
 
2.0%
9 1592
 
1.6%
8 1326
 
1.3%
5 1181
 
1.2%
Other values (2) 931
 
0.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 99991
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 27771
27.8%
0 22501
22.5%
- 19998
20.0%
1 10774
 
10.8%
4 6150
 
6.2%
3 5775
 
5.8%
7 1992
 
2.0%
9 1592
 
1.6%
8 1326
 
1.3%
5 1181
 
1.2%
Other values (2) 931
 
0.9%

제공기관코드
Text

Distinct368
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-04T07:10:46.540797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length6.9994
Min length1

Characters and Unicode

Total characters69994
Distinct characters12
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique26 ?
Unique (%)0.3%

Sample

1st row4000000
2nd row4670000
3rd row4850000
4th row4010000
5th row1371034
ValueCountFrequency (%)
6270000 631
 
6.3%
6280000 469
 
4.7%
3900000 387
 
3.9%
3820000 367
 
3.7%
7801000 266
 
2.7%
4671000 251
 
2.5%
5590000 233
 
2.3%
8490000 214
 
2.1%
4000000 206
 
2.1%
6520000 184
 
1.8%
Other values (357) 6791
67.9%
2024-05-04T07:10:47.845564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 39063
55.8%
3 4954
 
7.1%
4 4159
 
5.9%
5 3637
 
5.2%
1 3296
 
4.7%
6 3293
 
4.7%
2 3186
 
4.6%
8 3065
 
4.4%
7 2711
 
3.9%
9 2529
 
3.6%
Other values (2) 101
 
0.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 69893
99.9%
Uppercase Letter 100
 
0.1%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 39063
55.9%
3 4954
 
7.1%
4 4159
 
6.0%
5 3637
 
5.2%
1 3296
 
4.7%
6 3293
 
4.7%
2 3186
 
4.6%
8 3065
 
4.4%
7 2711
 
3.9%
9 2529
 
3.6%
Uppercase Letter
ValueCountFrequency (%)
B 100
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 69894
99.9%
Latin 100
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 39063
55.9%
3 4954
 
7.1%
4 4159
 
6.0%
5 3637
 
5.2%
1 3296
 
4.7%
6 3293
 
4.7%
2 3186
 
4.6%
8 3065
 
4.4%
7 2711
 
3.9%
9 2529
 
3.6%
Latin
ValueCountFrequency (%)
B 100
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 69994
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 39063
55.8%
3 4954
 
7.1%
4 4159
 
5.9%
5 3637
 
5.2%
1 3296
 
4.7%
6 3293
 
4.7%
2 3186
 
4.6%
8 3065
 
4.4%
7 2711
 
3.9%
9 2529
 
3.6%
Other values (2) 101
 
0.1%

제공기관명
Text

Distinct368
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size156.2 KiB
2024-05-04T07:10:48.648721image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length36
Mean length8.8818
Min length4

Characters and Unicode

Total characters88818
Distinct characters168
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

Unique26 ?
Unique (%)0.3%

Sample

1st row경기도 오산시
2nd row전라북도 군산시
3rd row전라남도 담양군
4th row경기도 시흥시
5th row문화체육관광부 국립국악원
ValueCountFrequency (%)
경기도 2084
 
11.6%
대구광역시 846
 
4.7%
인천광역시 827
 
4.6%
전북특별자치도 516
 
2.9%
경상남도 507
 
2.8%
서울특별시 491
 
2.7%
전라북도 433
 
2.4%
군산시 415
 
2.3%
경상북도 413
 
2.3%
광명시 387
 
2.2%
Other values (347) 11068
61.5%
2024-05-04T07:10:50.083989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
7987
 
9.0%
시 7951
 
9.0%
도 7902
 
8.9%
경 3734
 
4.2%
광 3603
 
4.1%
청 3073
 
3.5%
역 2771
 
3.1%
구 2588
 
2.9%
육 2203
 
2.5%
기 2202
 
2.5%
Other values (158) 44804
50.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 80797
91.0%
Space Separator 7987
 
9.0%
Decimal Number 26
 
< 0.1%
Other Punctuation 6
 
< 0.1%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 7951
 
9.8%
도 7902
 
9.8%
경 3734
 
4.6%
광 3603
 
4.5%
청 3073
 
3.8%
역 2771
 
3.4%
구 2588
 
3.2%
육 2203
 
2.7%
기 2202
 
2.7%
북 2182
 
2.7%
Other values (150) 42588
52.7%
Decimal Number
ValueCountFrequency (%)
2 16
61.5%
8 6
 
23.1%
0 2
 
7.7%
4 1
 
3.8%
7 1
 
3.8%
Space Separator
ValueCountFrequency (%)
7987
100.0%
Other Punctuation
ValueCountFrequency (%)
. 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 80797
91.0%
Common 8021
 
9.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 7951
 
9.8%
도 7902
 
9.8%
경 3734
 
4.6%
광 3603
 
4.5%
청 3073
 
3.8%
역 2771
 
3.4%
구 2588
 
3.2%
육 2203
 
2.7%
기 2202
 
2.7%
북 2182
 
2.7%
Other values (150) 42588
52.7%
Common
ValueCountFrequency (%)
7987
99.6%
2 16
 
0.2%
8 6
 
0.1%
. 6
 
0.1%
0 2
 
< 0.1%
- 2
 
< 0.1%
4 1
 
< 0.1%
7 1
 
< 0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 80797
91.0%
ASCII 8021
 
9.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
7987
99.6%
2 16
 
0.2%
8 6
 
0.1%
. 6
 
0.1%
0 2
 
< 0.1%
- 2
 
< 0.1%
4 1
 
< 0.1%
7 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
시 7951
 
9.8%
도 7902
 
9.8%
경 3734
 
4.6%
광 3603
 
4.5%
청 3073
 
3.8%
역 2771
 
3.4%
구 2588
 
3.2%
육 2203
 
2.7%
기 2202
 
2.7%
북 2182
 
2.7%
Other values (150) 42588
52.7%

Sample

강좌명강사명교육시작일자교육종료일자교육시작시각교육종료시각강좌내용교육대상구분교육방법구분운영요일교육장소강좌정원수수강료교육장도로명주소운영기관명운영기관전화번호접수시작일자접수종료일자접수방법구분선정방법구분홈페이지주소직업능력개발훈련비지원강좌여부학점은행제평가(학점)인정여부평생학습계좌제평가인정여부데이터기준일자제공기관코드제공기관명
21857(신중년) - CF 모델로 살아보기이규희2023-05-022023-07-11<NA><NA>백년동행시민대학 물음표학교 학습살롱은 유네스코지속가능발전교육(ESD)공식프로젝트로 학습살롱PM(시민활동가)이 시민 맞춤형 평생교육 프로그램을 기획하고, 운영하는 프로젝트입니다.“살아온 시간이 모델인데, 단지 카메라가 자연스럽지 않았기 때문에 못했던거여”삶의 애환이 있기에 더 자연스럽게 스며들 수 있다고 생각합니다. 그 길을 어떻게 열어야 하는지를 조금 더 학습을 통해, 이웃과 함께 배우는 기회를 만들어 드리려는 과정입니다.교육시간이 중복되지 않을 경우, 수강 횟수 제한 없습니다. 단, 미수료할 경우, 하반기 학습살롱 신청에 불이익(신청불가)이 있사오니 신중하게 교육 신청 부탁드립니다.최종 수강인원이 모집정원의 70미만일 경우에는 폐강될 수 있습니다.개강이 확정되면, 해당 강좌의 기획자인 담당 학습살롱PM이 연락을 드립니다. 강좌에 대한 문의사항이 있으실 경우, 담당 학습살롱PM에게 문의해주세요교육장소 : 징검다리교실 대원091 액터스엘아트센터(연기실)(경기대로 258, 이다베이커리카페 2층)성인오프라인<NA><NA>100경기도 오산시 경기대로 258 이다베이커리카페 2층 액터스엘아트센터(연기실)경기도 오산시 평생학습관031-8036-7830<NA><NA>온라인<NA><NA>2023-08-144000000경기도 오산시
22806세상에서 제일 쉬운 신개념 중국어 고급안태정+권미령2023-01-012023-12-31<NA><NA>공자+휴대전화 문자+빈 마차+해양관의 광고 등지역주민온라인매일군산시청1000전라북도 군산시 시청로 17전라북도 군산시청063-454-59602023-01-012023-12-31인터넷선착순cyberedu.gunsan.go.krNNN2023-11-074670000전라북도 군산시
1608321세기담양포럼강성태2018-07-192018-07-1916:0018:00습관, 반복되는 일상에 미션을 붙여라군민 누구나오프라인목담양문화회관6000전라남도 담양군 담양읍 지침6길 29전라남도 담양군청061-380-31812018-07-192018-07-19방문접수선착순http://www.damyang.go.kr/eduNNN2022-11-104850000전라남도 담양군
12991생활의상디자인(중급)김은희2024-02-282024-05-0314:0017:00실용만41세이상오프라인수시흥시 대야평색학습관1527000경기도 시흥시 은행로 173번길 14경기도 시흥시 평생교육원(대야평생학습관)031-310-25362024-02-152024-02-22인터넷선착순https://www.siheung.go.kr/edu/main.doNNN2024-03-014010000경기도 시흥시
818더불어 함께하는 우리 노래, 민요국립국악원2022-01-012022-12-3101:0023:59국악의 이해일반인온라인<NA>온라인10000서울특별시 서초구 남부순환로 2364국립국악원02-580-30862022-01-012022-12-31인터넷선착순http://academy.gugak.go.kr/course/active/detail.do?courseActiveSeq=410&srchCategoryTypeCd=CATEGORY_TYPE::NONDEGREE&courseMasterSeq=410&currentMenuId=900001001NNN2023-10-121371034문화체육관광부 국립국악원
27159[서부] 웰빙요가 A김진경2024-01-082024-04-2709:0011:00웰빙요가 강좌지역주민+성인오프라인월+수평택시 평생학습센터2064000경기도 평택시 안중읍 서동대로 1557평택시 평생학습센터031-8024-83302023-12-042023-12-12인터넷초과모집시 추첨https://www.pyeongtaek.go.kr/learning/NNN2024-03-193910000경기도 평택시
21471Eisenhower Farewell Address에듀라임2024-01-012024-12-31<NA><NA>연설문지역주민온라인상시인터넷강의1000전북특별자치도 군산시 시청로 17전북특별자치도 군산시청063-454-26002024-01-012024-12-31인터넷선착순cyberedu.gunsan.go.krNNN2024-02-054671000전북특별자치도 군산시
13173[백석] 힐링 플라워(압화)정인화2019-04-012019-06-2410:0012:00취미/교양성인오프라인월백석학습관2030000경기도 양주시 백석읍 꿈나무로 199, 꿈나무도서관 지하1층 백석학습관양주시 평생학습관031-8082-73972019-03-112019-03-22인터넷접수선착순https://www.yangju.go.kr/lll/index.doNNN2023-12-015590000경기도 양주시
11786[장애인 및 장애가족]힐링뷰티클래스(네일아트 오전반)이정희2021-11-082021-11-1509:3012:30장애인과 장애인 가족을 위한 힐링뷰티프로그램시민오프라인월평생학습원100경기도 광명시 철망산로2경기도 광명시 평생학습원02-2680-67422021-10-182021-11-05인터넷+방문접수+전화접수승인https://lll.gm.go.krNNN2022-11-093900000경기도 광명시
16294라인댄스(초급)김미경2023-08-212023-12-2913:3014:30라인댄스(초급)지역주민오프라인목+금김천시대신동행정복지센터 2층 회의실300경상북도 김천시 신양1길 22경상북도 김천시 대신동행정복지센터054-421-23852023-08-072023-08-10오프라인선착순https://www.gc.go.kr/district3/daesinNNN2024-02-135060000경상북도 김천시
강좌명강사명교육시작일자교육종료일자교육시작시각교육종료시각강좌내용교육대상구분교육방법구분운영요일교육장소강좌정원수수강료교육장도로명주소운영기관명운영기관전화번호접수시작일자접수종료일자접수방법구분선정방법구분홈페이지주소직업능력개발훈련비지원강좌여부학점은행제평가(학점)인정여부평생학습계좌제평가인정여부데이터기준일자제공기관코드제공기관명
24893프랑스자수신지은2024-01-042024-04-1109:3011:20프랑스 자수 기초 20가지 익히기일반혼합목서구 평생학습원(401호)1540000대전광역시 서구 계룡로553번길 38서구평생학습원042-288-47302023-11-302023-12-20인터넷추첨제http://www.seogu.go.kr/learning/NNN2024-01-123660000대전광역시 서구
1460[덕계]빈티지가죽공예&업사이클링 양말목공예박미숙2021-02-032021-04-2119:0020:50취미/교양성인혼합수덕계학습관1030000경기도 양주시 평화로1475번길 39, (덕계동) 회천2동 행정복지센터 5층양주시 평생학습관031-8082-73962021-01-112021-01-21인터넷접수선착순https://www.yangju.go.kr/lll/index.doNNN2023-12-015590000경기도 양주시
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