Overview

Dataset statistics

Number of variables11
Number of observations221
Missing cells760
Missing cells (%)31.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory19.3 KiB
Average record size in memory89.6 B

Variable types

Categorical2
Text7
DateTime1
Numeric1

Dataset

Description경기도 고양시 평생학습 정보 데이터로 교육기관 구분, 교육기관 명, 교육기관 주소, 교육기관 전화번호, 동아리명, 동아리 활동분야, 동아리 창립일, 동아리 회원수, 카페명, 카페주소, 카페 전화번호 등의 항목을 제공합니다.
Author경기도 고양시
URLhttps://www.data.go.kr/data/15085099/fileData.do

Alerts

동아리_명 has 102 (46.2%) missing valuesMissing
동아리_창립일 has 102 (46.2%) missing valuesMissing
동아리_활동분야 has 102 (46.2%) missing valuesMissing
동아리_회원수 has 102 (46.2%) missing valuesMissing
카페_명 has 175 (79.2%) missing valuesMissing
카페_주소 has 175 (79.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 00:29:31.407084
Analysis finished2023-12-12 00:29:32.901990
Duration1.49 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

교육기관_구분
Categorical

Distinct13
Distinct (%)5.9%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
행정복지센터
39 
지식.인력개발사업관련 평생교육시설
23 
언론기관부설 평생교육시설
21 
원격평생교육시설
21 
공공도서관
18 
Other values (8)
99 

Length

Max length18
Median length13
Mean length8.3303167
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
행정복지센터 39
17.6%
지식.인력개발사업관련 평생교육시설 23
10.4%
언론기관부설 평생교육시설 21
9.5%
원격평생교육시설 21
9.5%
공공도서관 18
8.1%
기타시설 17
7.7%
장애인시설 16
7.2%
문화시설 14
 
6.3%
시민사회단체부설 평생교육시설 14
 
6.3%
복지기관 11
 
5.0%
Other values (3) 27
12.2%

Length

2023-12-12T09:29:32.973191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
평생교육시설 69
23.8%
행정복지센터 39
13.4%
지식.인력개발사업관련 23
 
7.9%
언론기관부설 21
 
7.2%
원격평생교육시설 21
 
7.2%
공공도서관 18
 
6.2%
기타시설 17
 
5.9%
장애인시설 16
 
5.5%
문화시설 14
 
4.8%
시민사회단체부설 14
 
4.8%
Other values (4) 38
13.1%

교육기관_명
Text

Distinct218
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T09:29:33.174968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length17
Mean length9.9502262
Min length3

Characters and Unicode

Total characters2199
Distinct characters285
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

Unique215 ?
Unique (%)97.3%

Sample

1st row고양동행정복지센터
2nd row관산동행정복지센터
3rd row능곡동행정복지센터
4th row대덕동행정복지센터
5th row삼송동행정복지센터
ValueCountFrequency (%)
어린이도서관 3
 
1.2%
집 3
 
1.2%
고양장애인평생교육원 2
 
0.8%
롯데마트문화센터 2
 
0.8%
고양점 2
 
0.8%
고양ywca 2
 
0.8%
농협고양유통문화센터 2
 
0.8%
에듀퓨어원격평생교육시설 2
 
0.8%
위즈아일랜드지식인력개발관련평생교육시설 1
 
0.4%
스카이벨원격평생교육원 1
 
0.4%
Other values (230) 230
92.0%
2023-12-12T09:29:33.617445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
터 86
 
3.9%
센 82
 
3.7%
원 79
 
3.6%
교 73
 
3.3%
지 73
 
3.3%
육 72
 
3.3%
생 68
 
3.1%
평 63
 
2.9%
양 60
 
2.7%
고 55
 
2.5%
Other values (275) 1488
67.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2126
96.7%
Space Separator 34
 
1.5%
Decimal Number 20
 
0.9%
Uppercase Letter 15
 
0.7%
Close Punctuation 2
 
0.1%
Open Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
터 86
 
4.0%
센 82
 
3.9%
원 79
 
3.7%
교 73
 
3.4%
지 73
 
3.4%
육 72
 
3.4%
생 68
 
3.2%
평 63
 
3.0%
양 60
 
2.8%
고 55
 
2.6%
Other values (257) 1415
66.6%
Uppercase Letter
ValueCountFrequency (%)
C 3
20.0%
A 2
13.3%
W 2
13.3%
Y 2
13.3%
D 1
 
6.7%
N 1
 
6.7%
G 1
 
6.7%
T 1
 
6.7%
B 1
 
6.7%
M 1
 
6.7%
Decimal Number
ValueCountFrequency (%)
2 8
40.0%
1 8
40.0%
3 2
 
10.0%
7 1
 
5.0%
9 1
 
5.0%
Space Separator
ValueCountFrequency (%)
34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2126
96.7%
Common 58
 
2.6%
Latin 15
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
터 86
 
4.0%
센 82
 
3.9%
원 79
 
3.7%
교 73
 
3.4%
지 73
 
3.4%
육 72
 
3.4%
생 68
 
3.2%
평 63
 
3.0%
양 60
 
2.8%
고 55
 
2.6%
Other values (257) 1415
66.6%
Latin
ValueCountFrequency (%)
C 3
20.0%
A 2
13.3%
W 2
13.3%
Y 2
13.3%
D 1
 
6.7%
N 1
 
6.7%
G 1
 
6.7%
T 1
 
6.7%
B 1
 
6.7%
M 1
 
6.7%
Common
ValueCountFrequency (%)
34
58.6%
2 8
 
13.8%
1 8
 
13.8%
) 2
 
3.4%
( 2
 
3.4%
3 2
 
3.4%
7 1
 
1.7%
9 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2126
96.7%
ASCII 73
 
3.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
터 86
 
4.0%
센 82
 
3.9%
원 79
 
3.7%
교 73
 
3.4%
지 73
 
3.4%
육 72
 
3.4%
생 68
 
3.2%
평 63
 
3.0%
양 60
 
2.8%
고 55
 
2.6%
Other values (257) 1415
66.6%
ASCII
ValueCountFrequency (%)
34
46.6%
2 8
 
11.0%
1 8
 
11.0%
C 3
 
4.1%
A 2
 
2.7%
) 2
 
2.7%
( 2
 
2.7%
W 2
 
2.7%
3 2
 
2.7%
Y 2
 
2.7%
Other values (8) 8
 
11.0%

교육기관_주소
Text

Distinct217
Distinct (%)98.2%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
2023-12-12T09:29:33.818797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length43
Mean length30.80543
Min length20

Characters and Unicode

Total characters6808
Distinct characters228
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique214 ?
Unique (%)96.8%

Sample

1st row경기도 고양시 덕양구 벽제관로 5(고양동)
2nd row경기도 고양시 덕양구 통일로 789(관산동)
3rd row경기도 고양시 덕양구 토당로 83(토당동)
4th row경기도 고양시 덕양구 덕은로 60-22(덕은동)
5th row경기도 고양시 덕양구 신도길 8-8 (삼송동)
ValueCountFrequency (%)
경기도 220
 
16.5%
고양시 220
 
16.5%
덕양구 81
 
6.1%
일산동구 71
 
5.3%
일산서구 65
 
4.9%
중앙로 25
 
1.9%
일산로 12
 
0.9%
고양대로 9
 
0.7%
무궁화로 8
 
0.6%
화정동 7
 
0.5%
Other values (484) 613
46.1%
2023-12-12T09:29:34.219591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1125
 
16.5%
양 330
 
4.8%
동 290
 
4.3%
고 245
 
3.6%
시 231
 
3.4%
도 225
 
3.3%
경 223
 
3.3%
구 221
 
3.2%
기 221
 
3.2%
일 204
 
3.0%
Other values (218) 3493
51.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4072
59.8%
Space Separator 1125
 
16.5%
Decimal Number 1049
 
15.4%
Open Punctuation 191
 
2.8%
Close Punctuation 191
 
2.8%
Other Punctuation 118
 
1.7%
Dash Punctuation 52
 
0.8%
Uppercase Letter 9
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 330
 
8.1%
동 290
 
7.1%
고 245
 
6.0%
시 231
 
5.7%
도 225
 
5.5%
경 223
 
5.5%
구 221
 
5.4%
기 221
 
5.4%
일 204
 
5.0%
로 201
 
4.9%
Other values (194) 1681
41.3%
Decimal Number
ValueCountFrequency (%)
1 198
18.9%
2 152
14.5%
3 138
13.2%
0 116
11.1%
5 90
8.6%
6 87
8.3%
7 84
8.0%
4 75
 
7.1%
8 64
 
6.1%
9 45
 
4.3%
Uppercase Letter
ValueCountFrequency (%)
B 3
33.3%
T 1
 
11.1%
H 1
 
11.1%
S 1
 
11.1%
K 1
 
11.1%
D 1
 
11.1%
A 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
, 117
99.2%
/ 1
 
0.8%
Space Separator
ValueCountFrequency (%)
1125
100.0%
Open Punctuation
ValueCountFrequency (%)
( 191
100.0%
Close Punctuation
ValueCountFrequency (%)
) 191
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 52
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4072
59.8%
Common 2727
40.1%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 330
 
8.1%
동 290
 
7.1%
고 245
 
6.0%
시 231
 
5.7%
도 225
 
5.5%
경 223
 
5.5%
구 221
 
5.4%
기 221
 
5.4%
일 204
 
5.0%
로 201
 
4.9%
Other values (194) 1681
41.3%
Common
ValueCountFrequency (%)
1125
41.3%
1 198
 
7.3%
( 191
 
7.0%
) 191
 
7.0%
2 152
 
5.6%
3 138
 
5.1%
, 117
 
4.3%
0 116
 
4.3%
5 90
 
3.3%
6 87
 
3.2%
Other values (7) 322
 
11.8%
Latin
ValueCountFrequency (%)
B 3
33.3%
T 1
 
11.1%
H 1
 
11.1%
S 1
 
11.1%
K 1
 
11.1%
D 1
 
11.1%
A 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4072
59.8%
ASCII 2736
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1125
41.1%
1 198
 
7.2%
( 191
 
7.0%
) 191
 
7.0%
2 152
 
5.6%
3 138
 
5.0%
, 117
 
4.3%
0 116
 
4.2%
5 90
 
3.3%
6 87
 
3.2%
Other values (14) 331
 
12.1%
Hangul
ValueCountFrequency (%)
양 330
 
8.1%
동 290
 
7.1%
고 245
 
6.0%
시 231
 
5.7%
도 225
 
5.5%
경 223
 
5.5%
구 221
 
5.4%
기 221
 
5.4%
일 204
 
5.0%
로 201
 
4.9%
Other values (194) 1681
41.3%

교육기관_전화번호
Text

Distinct211
Distinct (%)96.3%
Missing2
Missing (%)0.9%
Memory size1.9 KiB
2023-12-12T09:29:34.489281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.178082
Min length9

Characters and Unicode

Total characters2667
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

Unique204 ?
Unique (%)93.2%

Sample

1st row031-8075-5788
2nd row031-8075-5808
3rd row031-8075-5828
4th row031-8075-5987
5th row031-8075-5757
ValueCountFrequency (%)
031-907-7726 3
 
1.4%
031-904-1573 2
 
0.9%
031-929-3352 2
 
0.9%
031-905-4477 2
 
0.9%
031-917-5579 2
 
0.9%
031-919-4040 2
 
0.9%
031-905-9191 2
 
0.9%
031-930-7003 2
 
0.9%
02-711-7201 1
 
0.5%
02-511-1911 1
 
0.5%
Other values (200) 200
91.3%
2023-12-12T09:29:34.915815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 452
16.9%
- 428
16.0%
1 352
13.2%
3 298
11.2%
9 251
9.4%
7 224
8.4%
5 168
 
6.3%
8 168
 
6.3%
2 122
 
4.6%
6 115
 
4.3%
Other values (2) 89
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2232
83.7%
Dash Punctuation 428
 
16.0%
Space Separator 7
 
0.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 452
20.3%
1 352
15.8%
3 298
13.4%
9 251
11.2%
7 224
10.0%
5 168
 
7.5%
8 168
 
7.5%
2 122
 
5.5%
6 115
 
5.2%
4 82
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 428
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2667
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 452
16.9%
- 428
16.0%
1 352
13.2%
3 298
11.2%
9 251
9.4%
7 224
8.4%
5 168
 
6.3%
8 168
 
6.3%
2 122
 
4.6%
6 115
 
4.3%
Other values (2) 89
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2667
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 452
16.9%
- 428
16.0%
1 352
13.2%
3 298
11.2%
9 251
9.4%
7 224
8.4%
5 168
 
6.3%
8 168
 
6.3%
2 122
 
4.6%
6 115
 
4.3%
Other values (2) 89
 
3.3%

동아리_명
Text

MISSING 

Distinct119
Distinct (%)100.0%
Missing102
Missing (%)46.2%
Memory size1.9 KiB
2023-12-12T09:29:35.181671image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length16
Mean length7.6806723
Min length2

Characters and Unicode

Total characters914
Distinct characters279
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique119 ?
Unique (%)100.0%

Sample

1st row길위의 인문학
2nd row글씨생활
3rd row난 오늘도 걷는day
4th row나다운 주말, 주말을 담다(사진동아리)
5th row꾸미루미
ValueCountFrequency (%)
오카리나 5
 
2.7%
파랑새 2
 
1.1%
행복한 2
 
1.1%
사랑하는 2
 
1.1%
고양시 2
 
1.1%
앙상블 2
 
1.1%
글씨생활 1
 
0.5%
채운서회 1
 
0.5%
우쿠니아앙상블 1
 
0.5%
아이럽잉글리쉬 1
 
0.5%
Other values (164) 164
89.6%
2023-12-12T09:29:35.583312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
64
 
7.0%
리 34
 
3.7%
아 17
 
1.9%
사 16
 
1.8%
나 16
 
1.8%
이 13
 
1.4%
모 12
 
1.3%
미 12
 
1.3%
기 12
 
1.3%
오 11
 
1.2%
Other values (269) 707
77.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 791
86.5%
Space Separator 64
 
7.0%
Uppercase Letter 19
 
2.1%
Lowercase Letter 11
 
1.2%
Open Punctuation 10
 
1.1%
Close Punctuation 10
 
1.1%
Other Punctuation 5
 
0.5%
Decimal Number 2
 
0.2%
Math Symbol 1
 
0.1%
Connector Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 34
 
4.3%
아 17
 
2.1%
사 16
 
2.0%
나 16
 
2.0%
이 13
 
1.6%
모 12
 
1.5%
미 12
 
1.5%
기 12
 
1.5%
오 11
 
1.4%
는 11
 
1.4%
Other values (236) 637
80.5%
Uppercase Letter
ValueCountFrequency (%)
A 4
21.1%
O 2
10.5%
R 2
10.5%
M 2
10.5%
F 1
 
5.3%
C 1
 
5.3%
L 1
 
5.3%
D 1
 
5.3%
N 1
 
5.3%
B 1
 
5.3%
Other values (3) 3
15.8%
Lowercase Letter
ValueCountFrequency (%)
e 2
18.2%
a 2
18.2%
y 1
9.1%
d 1
9.1%
t 1
9.1%
k 1
9.1%
v 1
9.1%
o 1
9.1%
r 1
9.1%
Other Punctuation
ValueCountFrequency (%)
' 2
40.0%
, 1
20.0%
! 1
20.0%
& 1
20.0%
Decimal Number
ValueCountFrequency (%)
0 1
50.0%
5 1
50.0%
Space Separator
ValueCountFrequency (%)
64
100.0%
Open Punctuation
ValueCountFrequency (%)
( 10
100.0%
Close Punctuation
ValueCountFrequency (%)
) 10
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 791
86.5%
Common 93
 
10.2%
Latin 30
 
3.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 34
 
4.3%
아 17
 
2.1%
사 16
 
2.0%
나 16
 
2.0%
이 13
 
1.6%
모 12
 
1.5%
미 12
 
1.5%
기 12
 
1.5%
오 11
 
1.4%
는 11
 
1.4%
Other values (236) 637
80.5%
Latin
ValueCountFrequency (%)
A 4
 
13.3%
O 2
 
6.7%
R 2
 
6.7%
M 2
 
6.7%
e 2
 
6.7%
a 2
 
6.7%
F 1
 
3.3%
y 1
 
3.3%
d 1
 
3.3%
t 1
 
3.3%
Other values (12) 12
40.0%
Common
ValueCountFrequency (%)
64
68.8%
( 10
 
10.8%
) 10
 
10.8%
' 2
 
2.2%
, 1
 
1.1%
~ 1
 
1.1%
0 1
 
1.1%
5 1
 
1.1%
! 1
 
1.1%
& 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 791
86.5%
ASCII 123
 
13.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
64
52.0%
( 10
 
8.1%
) 10
 
8.1%
A 4
 
3.3%
O 2
 
1.6%
R 2
 
1.6%
M 2
 
1.6%
e 2
 
1.6%
' 2
 
1.6%
a 2
 
1.6%
Other values (23) 23
 
18.7%
Hangul
ValueCountFrequency (%)
리 34
 
4.3%
아 17
 
2.1%
사 16
 
2.0%
나 16
 
2.0%
이 13
 
1.6%
모 12
 
1.5%
미 12
 
1.5%
기 12
 
1.5%
오 11
 
1.4%
는 11
 
1.4%
Other values (236) 637
80.5%

동아리_활동지역
Categorical

Distinct45
Distinct (%)20.4%
Missing0
Missing (%)0.0%
Memory size1.9 KiB
<NA>
102 
고양시
67 
고양
 
5
고양시 덕양구
 
2
고양,파주,서울
 
2
Other values (40)
43 

Length

Max length13
Median length12
Mean length4.0723982
Min length2

Unique

Unique37 ?
Unique (%)16.7%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 102
46.2%
고양시 67
30.3%
고양 5
 
2.3%
고양시 덕양구 2
 
0.9%
고양,파주,서울 2
 
0.9%
화정동 2
 
0.9%
일산 2
 
0.9%
고양 파주 2
 
0.9%
고양. 파주. 1
 
0.5%
고양시,경기도,수도권 1
 
0.5%
Other values (35) 35
 
15.8%

Length

2023-12-12T09:29:35.784328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 102
41.1%
고양시 80
32.3%
고양 10
 
4.0%
경기도 6
 
2.4%
파주 5
 
2.0%
덕양구 4
 
1.6%
일산서구 3
 
1.2%
고양,파주,서울 2
 
0.8%
화정동 2
 
0.8%
일산 2
 
0.8%
Other values (31) 32
 
12.9%

동아리_창립일
Date

MISSING 

Distinct108
Distinct (%)90.8%
Missing102
Missing (%)46.2%
Memory size1.9 KiB
Minimum2004-01-03 00:00:00
Maximum2021-03-19 00:00:00
2023-12-12T09:29:35.937822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T09:29:36.125969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

동아리_활동분야
Text

MISSING 

Distinct78
Distinct (%)65.5%
Missing102
Missing (%)46.2%
Memory size1.9 KiB
2023-12-12T09:29:36.464664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length4.4285714
Min length2

Characters and Unicode

Total characters527
Distinct characters146
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

Unique60 ?
Unique (%)50.4%

Sample

1st row문화예술역사
2nd row캘리그라피
3rd row걷기건강증진
4th row사진
5th row미술
ValueCountFrequency (%)
문화예술 11
 
8.9%
오카리나 8
 
6.5%
캘리그라피 5
 
4.0%
우쿨렐레 4
 
3.2%
미술심리상담 4
 
3.2%
난타 3
 
2.4%
미술 3
 
2.4%
인문교양 3
 
2.4%
뜨개질 3
 
2.4%
정리수납 2
 
1.6%
Other values (70) 78
62.9%
2023-12-12T09:29:37.015419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
문 30
 
5.7%
예 29
 
5.5%
술 26
 
4.9%
화 23
 
4.4%
리 21
 
4.0%
교 11
 
2.1%
인 10
 
1.9%
나 9
 
1.7%
) 9
 
1.7%
카 9
 
1.7%
Other values (136) 350
66.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 502
95.3%
Close Punctuation 9
 
1.7%
Open Punctuation 9
 
1.7%
Space Separator 7
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
문 30
 
6.0%
예 29
 
5.8%
술 26
 
5.2%
화 23
 
4.6%
리 21
 
4.2%
교 11
 
2.2%
인 10
 
2.0%
나 9
 
1.8%
카 9
 
1.8%
서 9
 
1.8%
Other values (133) 325
64.7%
Close Punctuation
ValueCountFrequency (%)
) 9
100.0%
Open Punctuation
ValueCountFrequency (%)
( 9
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 502
95.3%
Common 25
 
4.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
문 30
 
6.0%
예 29
 
5.8%
술 26
 
5.2%
화 23
 
4.6%
리 21
 
4.2%
교 11
 
2.2%
인 10
 
2.0%
나 9
 
1.8%
카 9
 
1.8%
서 9
 
1.8%
Other values (133) 325
64.7%
Common
ValueCountFrequency (%)
) 9
36.0%
( 9
36.0%
7
28.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 502
95.3%
ASCII 25
 
4.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
문 30
 
6.0%
예 29
 
5.8%
술 26
 
5.2%
화 23
 
4.6%
리 21
 
4.2%
교 11
 
2.2%
인 10
 
2.0%
나 9
 
1.8%
카 9
 
1.8%
서 9
 
1.8%
Other values (133) 325
64.7%
ASCII
ValueCountFrequency (%)
) 9
36.0%
( 9
36.0%
7
28.0%

동아리_회원수
Real number (ℝ)

MISSING 

Distinct19
Distinct (%)16.0%
Missing102
Missing (%)46.2%
Infinite0
Infinite (%)0.0%
Mean13.193277
Minimum4
Maximum50
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.1 KiB
2023-12-12T09:29:37.168863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum4
5-th percentile7
Q110
median10
Q312
95-th percentile30
Maximum50
Range46
Interquartile range (IQR)2

Descriptive statistics

Standard deviation8.2762447
Coefficient of variation (CV)0.62730772
Kurtosis10.207047
Mean13.193277
Median Absolute Deviation (MAD)1
Skewness3.1173318
Sum1570
Variance68.496226
MonotonicityNot monotonic
2023-12-12T09:29:37.302595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
10 59
26.7%
12 13
 
5.9%
11 9
 
4.1%
15 6
 
2.7%
13 5
 
2.3%
7 5
 
2.3%
25 4
 
1.8%
50 3
 
1.4%
20 2
 
0.9%
16 2
 
0.9%
Other values (9) 11
 
5.0%
(Missing) 102
46.2%
ValueCountFrequency (%)
4 1
 
0.5%
5 2
 
0.9%
7 5
 
2.3%
8 1
 
0.5%
9 1
 
0.5%
10 59
26.7%
11 9
 
4.1%
12 13
 
5.9%
13 5
 
2.3%
15 6
 
2.7%
ValueCountFrequency (%)
50 3
1.4%
42 1
 
0.5%
40 1
 
0.5%
30 2
 
0.9%
25 4
1.8%
22 1
 
0.5%
20 2
 
0.9%
18 1
 
0.5%
16 2
 
0.9%
15 6
2.7%

카페_명
Text

MISSING 

Distinct44
Distinct (%)95.7%
Missing175
Missing (%)79.2%
Memory size1.9 KiB
2023-12-12T09:29:37.833856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length13
Mean length7.6521739
Min length2

Characters and Unicode

Total characters352
Distinct characters170
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

Unique42 ?
Unique (%)91.3%

Sample

1st row해봄사회적협동조합
2nd row윤소팝하우스
3rd row헤븐리작은도서관
4th row장어명가
5th row지오 아카데미
ValueCountFrequency (%)
사단법인 4
 
6.0%
카페 2
 
3.0%
커피신조 2
 
3.0%
고양민들레학교 2
 
3.0%
도농어산촌 1
 
1.5%
다온협동조합 1
 
1.5%
나눔나무 1
 
1.5%
제이가 1
 
1.5%
루나라운지 1
 
1.5%
주엽작은도서관 1
 
1.5%
Other values (51) 51
76.1%
2023-12-12T09:29:38.326257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
22
 
6.2%
카 8
 
2.3%
스 7
 
2.0%
커 6
 
1.7%
페 6
 
1.7%
서 6
 
1.7%
사 6
 
1.7%
도 6
 
1.7%
작 6
 
1.7%
가 5
 
1.4%
Other values (160) 274
77.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 320
90.9%
Space Separator 22
 
6.2%
Decimal Number 4
 
1.1%
Uppercase Letter 3
 
0.9%
Other Punctuation 2
 
0.6%
Dash Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
카 8
 
2.5%
스 7
 
2.2%
커 6
 
1.9%
페 6
 
1.9%
서 6
 
1.9%
사 6
 
1.9%
도 6
 
1.9%
작 6
 
1.9%
가 5
 
1.6%
주 5
 
1.6%
Other values (151) 259
80.9%
Decimal Number
ValueCountFrequency (%)
1 2
50.0%
2 1
25.0%
4 1
25.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
33.3%
Z 1
33.3%
M 1
33.3%
Space Separator
ValueCountFrequency (%)
22
100.0%
Other Punctuation
ValueCountFrequency (%)
' 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 320
90.9%
Common 29
 
8.2%
Latin 3
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
카 8
 
2.5%
스 7
 
2.2%
커 6
 
1.9%
페 6
 
1.9%
서 6
 
1.9%
사 6
 
1.9%
도 6
 
1.9%
작 6
 
1.9%
가 5
 
1.6%
주 5
 
1.6%
Other values (151) 259
80.9%
Common
ValueCountFrequency (%)
22
75.9%
1 2
 
6.9%
' 2
 
6.9%
2 1
 
3.4%
4 1
 
3.4%
- 1
 
3.4%
Latin
ValueCountFrequency (%)
D 1
33.3%
Z 1
33.3%
M 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 320
90.9%
ASCII 32
 
9.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
22
68.8%
1 2
 
6.2%
' 2
 
6.2%
2 1
 
3.1%
4 1
 
3.1%
D 1
 
3.1%
Z 1
 
3.1%
M 1
 
3.1%
- 1
 
3.1%
Hangul
ValueCountFrequency (%)
카 8
 
2.5%
스 7
 
2.2%
커 6
 
1.9%
페 6
 
1.9%
서 6
 
1.9%
사 6
 
1.9%
도 6
 
1.9%
작 6
 
1.9%
가 5
 
1.6%
주 5
 
1.6%
Other values (151) 259
80.9%

카페_주소
Text

MISSING 

Distinct45
Distinct (%)97.8%
Missing175
Missing (%)79.2%
Memory size1.9 KiB
2023-12-12T09:29:38.684534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length37
Median length27.5
Mean length22.521739
Min length12

Characters and Unicode

Total characters1036
Distinct characters124
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique44 ?
Unique (%)95.7%

Sample

1st row덕양구 원흥1로 35 고양삼송LH13단지 1305동
2nd row덕양구 동산1로1길 23-18 1층
3rd row덕양구 고양대로1381 3층
4th row덕양구 서리골길 15 장어명가
5th row덕양구 혜음로30 삼성A상가 103동 B03∼04호
ValueCountFrequency (%)
일산서구 19
 
9.0%
덕양구 18
 
8.5%
1층 10
 
4.7%
일산동구 9
 
4.3%
2층 6
 
2.8%
중앙로 3
 
1.4%
고양대로 3
 
1.4%
일산로 3
 
1.4%
35 2
 
0.9%
9 2
 
0.9%
Other values (130) 136
64.5%
2023-12-12T09:29:39.238353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
169
 
16.3%
1 71
 
6.9%
구 47
 
4.5%
로 40
 
3.9%
3 37
 
3.6%
산 36
 
3.5%
2 35
 
3.4%
일 33
 
3.2%
0 30
 
2.9%
층 27
 
2.6%
Other values (114) 511
49.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 533
51.4%
Decimal Number 261
25.2%
Space Separator 169
 
16.3%
Other Punctuation 19
 
1.8%
Dash Punctuation 15
 
1.4%
Open Punctuation 14
 
1.4%
Close Punctuation 14
 
1.4%
Uppercase Letter 9
 
0.9%
Math Symbol 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 47
 
8.8%
로 40
 
7.5%
산 36
 
6.8%
일 33
 
6.2%
층 27
 
5.1%
동 27
 
5.1%
양 25
 
4.7%
서 21
 
3.9%
길 19
 
3.6%
덕 18
 
3.4%
Other values (87) 240
45.0%
Decimal Number
ValueCountFrequency (%)
1 71
27.2%
3 37
14.2%
2 35
13.4%
0 30
11.5%
4 20
 
7.7%
5 17
 
6.5%
8 15
 
5.7%
9 13
 
5.0%
6 12
 
4.6%
7 11
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
A 2
22.2%
E 1
11.1%
F 1
11.1%
C 1
11.1%
N 1
11.1%
B 1
11.1%
L 1
11.1%
H 1
11.1%
Other Punctuation
ValueCountFrequency (%)
, 17
89.5%
. 1
 
5.3%
/ 1
 
5.3%
Math Symbol
ValueCountFrequency (%)
∼ 1
50.0%
~ 1
50.0%
Space Separator
ValueCountFrequency (%)
169
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 533
51.4%
Common 494
47.7%
Latin 9
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 47
 
8.8%
로 40
 
7.5%
산 36
 
6.8%
일 33
 
6.2%
층 27
 
5.1%
동 27
 
5.1%
양 25
 
4.7%
서 21
 
3.9%
길 19
 
3.6%
덕 18
 
3.4%
Other values (87) 240
45.0%
Common
ValueCountFrequency (%)
169
34.2%
1 71
14.4%
3 37
 
7.5%
2 35
 
7.1%
0 30
 
6.1%
4 20
 
4.0%
, 17
 
3.4%
5 17
 
3.4%
- 15
 
3.0%
8 15
 
3.0%
Other values (9) 68
13.8%
Latin
ValueCountFrequency (%)
A 2
22.2%
E 1
11.1%
F 1
11.1%
C 1
11.1%
N 1
11.1%
B 1
11.1%
L 1
11.1%
H 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 533
51.4%
ASCII 502
48.5%
Math Operators 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
169
33.7%
1 71
14.1%
3 37
 
7.4%
2 35
 
7.0%
0 30
 
6.0%
4 20
 
4.0%
, 17
 
3.4%
5 17
 
3.4%
- 15
 
3.0%
8 15
 
3.0%
Other values (16) 76
15.1%
Hangul
ValueCountFrequency (%)
구 47
 
8.8%
로 40
 
7.5%
산 36
 
6.8%
일 33
 
6.2%
층 27
 
5.1%
동 27
 
5.1%
양 25
 
4.7%
서 21
 
3.9%
길 19
 
3.6%
덕 18
 
3.4%
Other values (87) 240
45.0%
Math Operators
ValueCountFrequency (%)
∼ 1
100.0%

Interactions

2023-12-12T09:29:32.351971image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:29:39.355536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
교육기관_구분동아리_활동지역동아리_활동분야동아리_회원수카페_명카페_주소
교육기관_구분1.0000.0000.8440.0000.0000.000
동아리_활동지역0.0001.0000.9400.6750.0000.000
동아리_활동분야0.8440.9401.0000.8890.9770.967
동아리_회원수0.0000.6750.8891.0000.0000.000
카페_명0.0000.0000.9770.0001.0001.000
카페_주소0.0000.0000.9670.0001.0001.000
2023-12-12T09:29:39.469177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
동아리_활동지역교육기관_구분
동아리_활동지역1.0000.000
교육기관_구분0.0001.000
2023-12-12T09:29:39.565163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
동아리_회원수교육기관_구분동아리_활동지역
동아리_회원수1.0000.0000.254
교육기관_구분0.0001.0000.000
동아리_활동지역0.2540.0001.000

Missing values

2023-12-12T09:29:32.461867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:29:32.652502image/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.
2023-12-12T09:29:32.805331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

교육기관_구분교육기관_명교육기관_주소교육기관_전화번호동아리_명동아리_활동지역동아리_창립일동아리_활동분야동아리_회원수카페_명카페_주소
0행정복지센터고양동행정복지센터경기도 고양시 덕양구 벽제관로 5(고양동)031-8075-5788길위의 인문학고양시2016-03-21문화예술역사5해봄사회적협동조합덕양구 원흥1로 35 고양삼송LH13단지 1305동
1행정복지센터관산동행정복지센터경기도 고양시 덕양구 통일로 789(관산동)031-8075-5808글씨생활고양시2017-01-01캘리그라피10윤소팝하우스덕양구 동산1로1길 23-18 1층
2행정복지센터능곡동행정복지센터경기도 고양시 덕양구 토당로 83(토당동)031-8075-5828난 오늘도 걷는day고양시2020-02-07걷기건강증진10헤븐리작은도서관덕양구 고양대로1381 3층
3행정복지센터대덕동행정복지센터경기도 고양시 덕양구 덕은로 60-22(덕은동)031-8075-5987나다운 주말, 주말을 담다(사진동아리)고양시2020-07-01사진10장어명가덕양구 서리골길 15 장어명가
4행정복지센터삼송동행정복지센터경기도 고양시 덕양구 신도길 8-8 (삼송동)031-8075-5757꾸미루미고양시2019-06-03미술10지오 아카데미덕양구 혜음로30 삼성A상가 103동 B03∼04호
5행정복지센터성사1동행정복지센터경기도 고양시 덕양구 호국로 790번길 101(성사동)031-8075-5702평화상생연구회 '샘'고양시2019-01-12평화통일교육18반딧불도서관덕양구 행신로 303번길 43-7 지층
6행정복지센터성사2동행정복지센터경기도 고양시 덕양구 호국로 742번길 6-6(성사2동)031-8075-5722타로야 놀자고양시2020-01-13인문교양10사단법인 누리보듬덕양구 혜음로 29-1, 3층
7행정복지센터주교동행정복지센터경기도 고양시 덕양구 고양대로 1315번길 71(주교동)031-8075-5654시민의 예술고양시2020-11-07문화예술10재미있는 느티나무 온가족도서관덕양구 중앙로 558번길 16-12 엘지프라자 703호
8행정복지센터창릉동행정복지센터경기도 고양시 덕양구 동세로 30(동산동)031-8075-5772두레심리미술고양시2021-03-19미술심리상담10한국꽃차학교덕양구 서삼능길 348-28(원흥동120)
9행정복지센터행주동행정복지센터경기도 고양시 덕양구 지도로14번길 11(토당동)031-8075-5895리딩상상고양시2021-02-25미술심리상담10해아림발효연구소덕양구 은빛로 29번길 5-4 1층
교육기관_구분교육기관_명교육기관_주소교육기관_전화번호동아리_명동아리_활동지역동아리_창립일동아리_활동분야동아리_회원수카페_명카페_주소
211지식.인력개발사업관련 평생교육시설고양보육교사교육원경기도 고양시 덕양구 토당로 52 (토당동)031-970-8100<NA><NA><NA><NA><NA><NA><NA>
212지식.인력개발사업관련 평생교육시설일산백병원경기도 고양시 일산서구 주화로 170 (대화동)031-910-7114<NA><NA><NA><NA><NA><NA><NA>
213지식.인력개발사업관련 평생교육시설국립암센터경기도 고양시 일산동구 일산로 323 (마두동)1588-8110<NA><NA><NA><NA><NA><NA><NA>
214지식.인력개발사업관련 평생교육시설대산전기학원경기도 고양시 일산동구 중앙로 1068 리더스프라자 501호 대산전기학원(백석동)031-927-9900<NA><NA><NA><NA><NA><NA><NA>
215지식.인력개발사업관련 평생교육시설고양장례지도사교육원경기도 고양시 일산서구 가좌4로 6-10가좌마을(가좌동)070-8817-9004<NA><NA><NA><NA><NA><NA><NA>
216지식.인력개발사업관련 평생교육시설일산중앙요리전문교육원경기도 고양시 일산서구 중앙로 1573 킨텍스프라자(대화동)031-925-3939<NA><NA><NA><NA><NA><NA><NA>
217지식.인력개발사업관련 평생교육시설한국시설안전공단경기도 고양시 일산서구 고양대로 315(일산동)031-910-4031<NA><NA><NA><NA><NA><NA><NA>
218지식.인력개발사업관련 평생교육시설(주)한양능력개발원경기도 고양시 일산서구 주화로 70 109-1 우신프라자 404호(주엽동)031-919-0466<NA><NA><NA><NA><NA><NA><NA>
219지식.인력개발사업관련 평생교육시설이봉춘셰프실용전문학교경기도 고양시 일산서구 중앙로 1437 6층 화성프라자 604,606호(주엽동)031-916-5665<NA><NA><NA><NA><NA><NA><NA>
220지식.인력개발사업관련 평생교육시설고양지역자활센터경기도 고양시 일산서구 하이파크3로 75 (덕이동)031-968-8378<NA><NA><NA><NA><NA><NA><NA>