Overview

Dataset statistics

Number of variables14
Number of observations642
Missing cells2756
Missing cells (%)30.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory70.3 KiB
Average record size in memory112.2 B

Variable types

Categorical4
Text10

Dataset

Description고양도시관리공사 체육(문화)시설 강좌 및 수강정보 안내 -시설명, 시설 세부사항, 수용인원, 대관료 여부 및 세부사항, 신청방법 및 세부사항, 대관가능일 등 관련 정보 안내
URLhttps://www.data.go.kr/data/15044462/fileData.do

Alerts

센터명 is highly overall correlated with 시설명 and 2 other fieldsHigh correlation
시설명 is highly overall correlated with 센터명 and 1 other fieldsHigh correlation
요일 is highly overall correlated with 센터명High correlation
정원 is highly overall correlated with 센터명 and 1 other fieldsHigh correlation
정원 is highly imbalanced (56.4%)Imbalance
강습시간 has 18 (2.8%) missing valuesMissing
준비물 has 198 (30.8%) missing valuesMissing
일일자유이용금액 has 630 (98.1%) missing valuesMissing
일일자유이용시간 has 631 (98.3%) missing valuesMissing
사물함 이용안내 has 639 (99.5%) missing valuesMissing
사물함 이용금액 has 639 (99.5%) missing valuesMissing

Reproduction

Analysis started2023-12-12 14:38:44.884392
Analysis finished2023-12-12 14:38:46.156917
Duration1.27 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

센터명
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
고양문화의집
213 
고양체육관
189 
고양백석체육센터
117 
고양어울림누리
98 
고양국민체육센터
 
17
Other values (2)
 
8

Length

Max length8
Median length7
Mean length6.288162
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
고양문화의집 213
33.2%
고양체육관 189
29.4%
고양백석체육센터 117
18.2%
고양어울림누리 98
15.3%
고양국민체육센터 17
 
2.6%
고양인공암벽장 6
 
0.9%
사물함이용안내 2
 
0.3%

Length

2023-12-12T23:38:46.229439image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T23:38:46.367183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
고양문화의집 213
33.2%
고양체육관 189
29.4%
고양백석체육센터 117
18.2%
고양어울림누리 98
15.3%
고양국민체육센터 17
 
2.6%
고양인공암벽장 6
 
0.9%
사물함이용안내 2
 
0.3%

시설명
Categorical

HIGH CORRELATION 

Distinct33
Distinct (%)5.1%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
G.X룸
100 
골프
48 
수영장(메인풀,보조풀)
40 
스쿼시및라켓볼
40 
수영장(수영)
 
26
Other values (28)
388 

Length

Max length12
Median length7
Mean length4.8909657
Min length2

Unique

Unique1 ?
Unique (%)0.2%

Sample

1st row수영장(메인풀,보조풀)
2nd row수영장(메인풀,보조풀)
3rd row수영장(메인풀,보조풀)
4th row수영장(메인풀,보조풀)
5th row수영장(메인풀,보조풀)

Common Values

ValueCountFrequency (%)
G.X룸 100
 
15.6%
골프 48
 
7.5%
수영장(메인풀,보조풀) 40
 
6.2%
스쿼시및라켓볼 40
 
6.2%
수영장(수영) 26
 
4.0%
생활체육실 24
 
3.7%
문예교실 23
 
3.6%
스피닝 22
 
3.4%
체육관 20
 
3.1%
수영장 19
 
3.0%
Other values (23) 280
43.6%

Length

2023-12-12T23:38:46.524272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
g.x룸 100
 
15.6%
골프 48
 
7.5%
수영장(메인풀,보조풀 40
 
6.2%
스쿼시및라켓볼 40
 
6.2%
수영장(수영 26
 
4.0%
생활체육실 24
 
3.7%
문예교실 23
 
3.6%
스피닝 22
 
3.4%
체육관 20
 
3.1%
수영장 19
 
3.0%
Other values (23) 280
43.6%

강습구분(프로그램)
Text

Distinct285
Distinct (%)44.4%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2023-12-12T23:38:46.863094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length22
Mean length5.9049844
Min length2

Characters and Unicode

Total characters3791
Distinct characters305
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique208 ?
Unique (%)32.4%

Sample

1st row직장인수영1
2nd row직장인수영1
3rd row직장인수영1
4th row직장인수영1
5th row직장인수영1
ValueCountFrequency (%)
요가 39
 
5.6%
아쿠아로빅 22
 
3.1%
스쿼시(강습 18
 
2.6%
라켓볼(강습 17
 
2.4%
일일자유수영 16
 
2.3%
에어로빅 14
 
2.0%
개인강습 12
 
1.7%
방송댄스 10
 
1.4%
스피닝 10
 
1.4%
댄스스포츠 10
 
1.4%
Other values (305) 534
76.1%
2023-12-12T23:38:47.391903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
스 155
 
4.1%
) 146
 
3.9%
( 146
 
3.9%
어 93
 
2.5%
인 83
 
2.2%
영 75
 
2.0%
수 74
 
2.0%
이 73
 
1.9%
72
 
1.9%
요 69
 
1.8%
Other values (295) 2805
74.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3211
84.7%
Close Punctuation 148
 
3.9%
Open Punctuation 148
 
3.9%
Decimal Number 92
 
2.4%
Space Separator 72
 
1.9%
Uppercase Letter 63
 
1.7%
Other Punctuation 42
 
1.1%
Math Symbol 8
 
0.2%
Letter Number 5
 
0.1%
Dash Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 155
 
4.8%
어 93
 
2.9%
인 83
 
2.6%
영 75
 
2.3%
수 74
 
2.3%
이 73
 
2.3%
요 69
 
2.1%
댄 66
 
2.1%
가 59
 
1.8%
일 57
 
1.8%
Other values (254) 2407
75.0%
Uppercase Letter
ValueCountFrequency (%)
A 22
34.9%
B 20
31.7%
C 4
 
6.3%
S 2
 
3.2%
N 2
 
3.2%
I 2
 
3.2%
P 2
 
3.2%
G 1
 
1.6%
E 1
 
1.6%
O 1
 
1.6%
Other values (6) 6
 
9.5%
Decimal Number
ValueCountFrequency (%)
1 31
33.7%
2 30
32.6%
0 8
 
8.7%
3 8
 
8.7%
5 5
 
5.4%
6 3
 
3.3%
4 3
 
3.3%
8 2
 
2.2%
7 2
 
2.2%
Other Punctuation
ValueCountFrequency (%)
& 21
50.0%
/ 8
 
19.0%
: 6
 
14.3%
· 3
 
7.1%
! 2
 
4.8%
, 2
 
4.8%
Close Punctuation
ValueCountFrequency (%)
) 146
98.6%
] 2
 
1.4%
Open Punctuation
ValueCountFrequency (%)
( 146
98.6%
[ 2
 
1.4%
Math Symbol
ValueCountFrequency (%)
~ 6
75.0%
+ 2
 
25.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 3
60.0%
Ⅰ 2
40.0%
Space Separator
ValueCountFrequency (%)
72
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3211
84.7%
Common 512
 
13.5%
Latin 68
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
스 155
 
4.8%
어 93
 
2.9%
인 83
 
2.6%
영 75
 
2.3%
수 74
 
2.3%
이 73
 
2.3%
요 69
 
2.1%
댄 66
 
2.1%
가 59
 
1.8%
일 57
 
1.8%
Other values (254) 2407
75.0%
Common
ValueCountFrequency (%)
) 146
28.5%
( 146
28.5%
72
14.1%
1 31
 
6.1%
2 30
 
5.9%
& 21
 
4.1%
0 8
 
1.6%
3 8
 
1.6%
/ 8
 
1.6%
: 6
 
1.2%
Other values (13) 36
 
7.0%
Latin
ValueCountFrequency (%)
A 22
32.4%
B 20
29.4%
C 4
 
5.9%
Ⅱ 3
 
4.4%
S 2
 
2.9%
N 2
 
2.9%
Ⅰ 2
 
2.9%
I 2
 
2.9%
P 2
 
2.9%
G 1
 
1.5%
Other values (8) 8
 
11.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3211
84.7%
ASCII 572
 
15.1%
Number Forms 5
 
0.1%
None 3
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
스 155
 
4.8%
어 93
 
2.9%
인 83
 
2.6%
영 75
 
2.3%
수 74
 
2.3%
이 73
 
2.3%
요 69
 
2.1%
댄 66
 
2.1%
가 59
 
1.8%
일 57
 
1.8%
Other values (254) 2407
75.0%
ASCII
ValueCountFrequency (%)
) 146
25.5%
( 146
25.5%
72
12.6%
1 31
 
5.4%
2 30
 
5.2%
A 22
 
3.8%
& 21
 
3.7%
B 20
 
3.5%
0 8
 
1.4%
3 8
 
1.4%
Other values (28) 68
11.9%
Number Forms
ValueCountFrequency (%)
Ⅱ 3
60.0%
Ⅰ 2
40.0%
None
ValueCountFrequency (%)
· 3
100.0%

강습반
Text

Distinct509
Distinct (%)79.3%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2023-12-12T23:38:47.790516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length6.8676012
Min length2

Characters and Unicode

Total characters4409
Distinct characters331
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks5 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique440 ?
Unique (%)68.5%

Sample

1st row새벽1반
2nd row새벽2반
3rd row아침1반
4th row아침2반
5th row모닝1반
ValueCountFrequency (%)
1반 15
 
1.8%
2 11
 
1.3%
1 10
 
1.2%
헬스 9
 
1.1%
요가 9
 
1.1%
2반 9
 
1.1%
저녁1반 8
 
1.0%
저녁2반 7
 
0.9%
인공암벽 6
 
0.7%
탁구/배드민턴 6
 
0.7%
Other values (529) 732
89.1%
2023-12-12T23:38:48.328255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
반 352
 
8.0%
194
 
4.4%
( 142
 
3.2%
) 142
 
3.2%
1 136
 
3.1%
스 114
 
2.6%
2 112
 
2.5%
어 83
 
1.9%
급 83
 
1.9%
아 76
 
1.7%
Other values (321) 2975
67.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3330
75.5%
Decimal Number 394
 
8.9%
Space Separator 194
 
4.4%
Open Punctuation 144
 
3.3%
Close Punctuation 144
 
3.3%
Uppercase Letter 100
 
2.3%
Other Punctuation 63
 
1.4%
Lowercase Letter 20
 
0.5%
Math Symbol 8
 
0.2%
Letter Number 7
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
반 352
 
10.6%
스 114
 
3.4%
어 83
 
2.5%
급 83
 
2.5%
아 76
 
2.3%
요 71
 
2.1%
인 69
 
2.1%
초 67
 
2.0%
댄 58
 
1.7%
오 57
 
1.7%
Other values (273) 2300
69.1%
Uppercase Letter
ValueCountFrequency (%)
A 33
33.0%
B 28
28.0%
C 11
 
11.0%
P 6
 
6.0%
I 4
 
4.0%
D 4
 
4.0%
O 3
 
3.0%
S 2
 
2.0%
N 2
 
2.0%
E 1
 
1.0%
Other values (6) 6
 
6.0%
Decimal Number
ValueCountFrequency (%)
1 136
34.5%
2 112
28.4%
3 49
 
12.4%
4 32
 
8.1%
5 19
 
4.8%
6 17
 
4.3%
0 10
 
2.5%
8 9
 
2.3%
7 7
 
1.8%
9 3
 
0.8%
Other Punctuation
ValueCountFrequency (%)
& 23
36.5%
, 20
31.7%
/ 9
 
14.3%
: 6
 
9.5%
· 3
 
4.8%
! 2
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
k 5
25.0%
e 4
20.0%
a 4
20.0%
t 4
20.0%
p 2
 
10.0%
o 1
 
5.0%
Open Punctuation
ValueCountFrequency (%)
( 142
98.6%
[ 2
 
1.4%
Close Punctuation
ValueCountFrequency (%)
) 142
98.6%
] 2
 
1.4%
Math Symbol
ValueCountFrequency (%)
~ 6
75.0%
+ 2
 
25.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 4
57.1%
Ⅰ 3
42.9%
Space Separator
ValueCountFrequency (%)
194
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3330
75.5%
Common 952
 
21.6%
Latin 127
 
2.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
반 352
 
10.6%
스 114
 
3.4%
어 83
 
2.5%
급 83
 
2.5%
아 76
 
2.3%
요 71
 
2.1%
인 69
 
2.1%
초 67
 
2.0%
댄 58
 
1.7%
오 57
 
1.7%
Other values (273) 2300
69.1%
Common
ValueCountFrequency (%)
194
20.4%
( 142
14.9%
) 142
14.9%
1 136
14.3%
2 112
11.8%
3 49
 
5.1%
4 32
 
3.4%
& 23
 
2.4%
, 20
 
2.1%
5 19
 
2.0%
Other values (14) 83
8.7%
Latin
ValueCountFrequency (%)
A 33
26.0%
B 28
22.0%
C 11
 
8.7%
P 6
 
4.7%
k 5
 
3.9%
e 4
 
3.1%
Ⅱ 4
 
3.1%
a 4
 
3.1%
t 4
 
3.1%
I 4
 
3.1%
Other values (14) 24
18.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3328
75.5%
ASCII 1069
 
24.2%
Number Forms 7
 
0.2%
None 3
 
0.1%
Compat Jamo 2
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
반 352
 
10.6%
스 114
 
3.4%
어 83
 
2.5%
급 83
 
2.5%
아 76
 
2.3%
요 71
 
2.1%
인 69
 
2.1%
초 67
 
2.0%
댄 58
 
1.7%
오 57
 
1.7%
Other values (272) 2298
69.1%
ASCII
ValueCountFrequency (%)
194
18.1%
( 142
13.3%
) 142
13.3%
1 136
12.7%
2 112
10.5%
3 49
 
4.6%
A 33
 
3.1%
4 32
 
3.0%
B 28
 
2.6%
& 23
 
2.2%
Other values (35) 178
16.7%
Number Forms
ValueCountFrequency (%)
Ⅱ 4
57.1%
Ⅰ 3
42.9%
None
ValueCountFrequency (%)
· 3
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅡ 2
100.0%

요일
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
월,수,금
178 
화,목
163 
토
50 
월~금
46 
월
27 
Other values (20)
178 

Length

Max length7
Median length5
Mean length3.1962617
Min length1

Unique

Unique3 ?
Unique (%)0.5%

Sample

1st row월,수,금
2nd row화,목
3rd row월,수,금
4th row화,목
5th row월,수,금

Common Values

ValueCountFrequency (%)
월,수,금 178
27.7%
화,목 163
25.4%
토 50
 
7.8%
월~금 46
 
7.2%
월 27
 
4.2%
목 24
 
3.7%
수 24
 
3.7%
금 21
 
3.3%
화 17
 
2.6%
월 수 금 17
 
2.6%
Other values (15) 75
11.7%

Length

2023-12-12T23:38:48.508203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
월,수,금 178
25.0%
화,목 163
22.9%
토 58
 
8.1%
목 49
 
6.9%
월~금 46
 
6.5%
월 46
 
6.5%
화 42
 
5.9%
수 41
 
5.8%
금 40
 
5.6%
월,수 12
 
1.7%
Other values (9) 37
 
5.2%

강습시간
Text

MISSING 

Distinct149
Distinct (%)23.9%
Missing18
Missing (%)2.8%
Memory size5.1 KiB
2023-12-12T23:38:48.774304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length11
Mean length11.088141
Min length1

Characters and Unicode

Total characters6919
Distinct characters16
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique48 ?
Unique (%)7.7%

Sample

1st row06:00~06:50
2nd row07:00~07:50
3rd row08:00~08:50
4th row09:00~09:50
5th row10:00~10:50
ValueCountFrequency (%)
35
 
5.0%
11:00~11:50 25
 
3.6%
10:00-11:50 21
 
3.0%
20:00~20:50 19
 
2.7%
10:00~10:50 18
 
2.6%
10:00-10:50 17
 
2.4%
11:00-11:50 17
 
2.4%
13:00~13:50 16
 
2.3%
19:00~19:50 16
 
2.3%
17:00~17:50 15
 
2.1%
Other values (144) 504
71.7%
2023-12-12T23:38:49.231296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2176
31.4%
: 1244
18.0%
1 1134
16.4%
5 610
 
8.8%
~ 376
 
5.4%
2 313
 
4.5%
- 249
 
3.6%
3 161
 
2.3%
9 136
 
2.0%
6 128
 
1.8%
Other values (6) 392
 
5.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 4964
71.7%
Other Punctuation 1245
 
18.0%
Math Symbol 376
 
5.4%
Dash Punctuation 249
 
3.6%
Space Separator 81
 
1.2%
Other Letter 4
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2176
43.8%
1 1134
22.8%
5 610
 
12.3%
2 313
 
6.3%
3 161
 
3.2%
9 136
 
2.7%
6 128
 
2.6%
7 127
 
2.6%
8 96
 
1.9%
4 83
 
1.7%
Other Punctuation
ValueCountFrequency (%)
: 1244
99.9%
, 1
 
0.1%
Math Symbol
ValueCountFrequency (%)
~ 376
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 249
100.0%
Space Separator
ValueCountFrequency (%)
81
100.0%
Other Letter
ValueCountFrequency (%)
부 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6915
99.9%
Hangul 4
 
0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2176
31.5%
: 1244
18.0%
1 1134
16.4%
5 610
 
8.8%
~ 376
 
5.4%
2 313
 
4.5%
- 249
 
3.6%
3 161
 
2.3%
9 136
 
2.0%
6 128
 
1.9%
Other values (5) 388
 
5.6%
Hangul
ValueCountFrequency (%)
부 4
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6915
99.9%
Hangul 4
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2176
31.5%
: 1244
18.0%
1 1134
16.4%
5 610
 
8.8%
~ 376
 
5.4%
2 313
 
4.5%
- 249
 
3.6%
3 161
 
2.3%
9 136
 
2.0%
6 128
 
1.9%
Other values (5) 388
 
5.6%
Hangul
ValueCountFrequency (%)
부 4
100.0%

교육대상
Text

Distinct77
Distinct (%)12.0%
Missing1
Missing (%)0.2%
Memory size5.1 KiB
2023-12-12T23:38:49.561836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length6.2917317
Min length1

Characters and Unicode

Total characters4033
Distinct characters87
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)7.6%

Sample

1st row성인,청소년
2nd row성인,청소년
3rd row성인,청소년
4th row성인,청소년
5th row성인,청소년
ValueCountFrequency (%)
성인 159
20.0%
등 116
14.6%
성인,청소년,어린이 116
14.6%
성인,청소년 108
13.6%
청소년/성인 79
9.9%
일반/청소년 26
 
3.3%
초등학생 22
 
2.8%
청소년 17
 
2.1%
6~7세 11
 
1.4%
어린이 8
 
1.0%
Other values (74) 134
16.8%
2023-12-12T23:38:50.051038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
성 492
12.2%
인 484
12.0%
년 381
 
9.4%
, 362
 
9.0%
청 357
 
8.9%
소 357
 
8.9%
등 181
 
4.5%
163
 
4.0%
이 133
 
3.3%
어 127
 
3.1%
Other values (77) 996
24.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3083
76.4%
Other Punctuation 476
 
11.8%
Decimal Number 174
 
4.3%
Space Separator 163
 
4.0%
Math Symbol 73
 
1.8%
Close Punctuation 24
 
0.6%
Open Punctuation 24
 
0.6%
Uppercase Letter 9
 
0.2%
Dash Punctuation 6
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 492
16.0%
인 484
15.7%
년 381
12.4%
청 357
11.6%
소 357
11.6%
등 181
 
5.9%
이 133
 
4.3%
어 127
 
4.1%
린 127
 
4.1%
초 66
 
2.1%
Other values (55) 378
12.3%
Decimal Number
ValueCountFrequency (%)
6 48
27.6%
7 30
17.2%
1 22
12.6%
0 18
 
10.3%
2 17
 
9.8%
5 16
 
9.2%
3 13
 
7.5%
4 4
 
2.3%
8 4
 
2.3%
9 2
 
1.1%
Other Punctuation
ValueCountFrequency (%)
, 362
76.1%
/ 113
 
23.7%
· 1
 
0.2%
Uppercase Letter
ValueCountFrequency (%)
A 4
44.4%
B 4
44.4%
C 1
 
11.1%
Space Separator
ValueCountFrequency (%)
163
100.0%
Math Symbol
ValueCountFrequency (%)
~ 73
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Letter Number
ValueCountFrequency (%)
Ⅱ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3083
76.4%
Common 940
 
23.3%
Latin 10
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 492
16.0%
인 484
15.7%
년 381
12.4%
청 357
11.6%
소 357
11.6%
등 181
 
5.9%
이 133
 
4.3%
어 127
 
4.1%
린 127
 
4.1%
초 66
 
2.1%
Other values (55) 378
12.3%
Common
ValueCountFrequency (%)
, 362
38.5%
163
17.3%
/ 113
 
12.0%
~ 73
 
7.8%
6 48
 
5.1%
7 30
 
3.2%
) 24
 
2.6%
( 24
 
2.6%
1 22
 
2.3%
0 18
 
1.9%
Other values (8) 63
 
6.7%
Latin
ValueCountFrequency (%)
A 4
40.0%
B 4
40.0%
Ⅱ 1
 
10.0%
C 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3083
76.4%
ASCII 948
 
23.5%
Number Forms 1
 
< 0.1%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
성 492
16.0%
인 484
15.7%
년 381
12.4%
청 357
11.6%
소 357
11.6%
등 181
 
5.9%
이 133
 
4.3%
어 127
 
4.1%
린 127
 
4.1%
초 66
 
2.1%
Other values (55) 378
12.3%
ASCII
ValueCountFrequency (%)
, 362
38.2%
163
17.2%
/ 113
 
11.9%
~ 73
 
7.7%
6 48
 
5.1%
7 30
 
3.2%
) 24
 
2.5%
( 24
 
2.5%
1 22
 
2.3%
0 18
 
1.9%
Other values (10) 71
 
7.5%
Number Forms
ValueCountFrequency (%)
Ⅱ 1
100.0%
None
ValueCountFrequency (%)
· 1
100.0%

교육대상 및 이용요금 정보
Text

Distinct107
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
2023-12-12T23:38:50.309279image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length139
Median length125
Mean length38.169782
Min length1

Characters and Unicode

Total characters24505
Distinct characters70
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique33 ?
Unique (%)5.1%

Sample

1st row성인(월,수,금) 60,000원, 성인(화,목) 54,000원, 청소년(월,수,금) 50,000원, 청소년(화,목) 45,000원, 어린이(월,수,금) 35,000원, 어린이(화,목) 25,000, 꿈나무반 100,000원
2nd row성인(월,수,금) 60,000원, 성인(화,목) 54,000원, 청소년(월,수,금) 50,000원, 청소년(화,목) 45,000원, 어린이(월,수,금) 35,000원, 어린이(화,목) 25,000, 꿈나무반 100,000원
3rd row성인(월,수,금) 60,000원, 성인(화,목) 54,000원, 청소년(월,수,금) 50,000원, 청소년(화,목) 45,000원, 어린이(월,수,금) 35,000원, 어린이(화,목) 25,000, 꿈나무반 100,000원
4th row성인(월,수,금) 60,000원, 성인(화,목) 54,000원, 청소년(월,수,금) 50,000원, 청소년(화,목) 45,000원, 어린이(월,수,금) 35,000원, 어린이(화,목) 25,000, 꿈나무반 100,000원
5th row성인(월,수,금) 60,000원, 성인(화,목) 54,000원, 청소년(월,수,금) 50,000원, 청소년(화,목) 45,000원, 어린이(월,수,금) 35,000원, 어린이(화,목) 25,000, 꿈나무반 100,000원
ValueCountFrequency (%)
60,000원 178
 
5.9%
성인(월,수,금 168
 
5.6%
청소년(월,수,금 163
 
5.4%
청소년(화,목 158
 
5.3%
성인(화,목 154
 
5.1%
54,000원 109
 
3.6%
72,000원 95
 
3.2%
성인 83
 
2.8%
어린이(월,수,금 77
 
2.6%
어린이(화,목 75
 
2.5%
Other values (143) 1736
57.9%
2023-12-12T23:38:50.790217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 4979
20.3%
, 3924
16.0%
2488
 
10.2%
원 1544
 
6.3%
) 951
 
3.9%
( 950
 
3.9%
5 672
 
2.7%
3 522
 
2.1%
월 490
 
2.0%
청 489
 
2.0%
Other values (60) 7496
30.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 8364
34.1%
Other Letter 7719
31.5%
Other Punctuation 3982
16.2%
Space Separator 2488
 
10.2%
Close Punctuation 951
 
3.9%
Open Punctuation 950
 
3.9%
Math Symbol 47
 
0.2%
Dash Punctuation 4
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 1544
20.0%
월 490
 
6.3%
청 489
 
6.3%
년 487
 
6.3%
소 478
 
6.2%
금 472
 
6.1%
인 469
 
6.1%
수 454
 
5.9%
성 428
 
5.5%
화 410
 
5.3%
Other values (43) 1998
25.9%
Decimal Number
ValueCountFrequency (%)
0 4979
59.5%
5 672
 
8.0%
3 522
 
6.2%
6 480
 
5.7%
4 436
 
5.2%
2 400
 
4.8%
8 286
 
3.4%
7 214
 
2.6%
1 197
 
2.4%
9 178
 
2.1%
Other Punctuation
ValueCountFrequency (%)
, 3924
98.5%
/ 58
 
1.5%
Space Separator
ValueCountFrequency (%)
2488
100.0%
Close Punctuation
ValueCountFrequency (%)
) 951
100.0%
Open Punctuation
ValueCountFrequency (%)
( 950
100.0%
Math Symbol
ValueCountFrequency (%)
~ 47
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 16786
68.5%
Hangul 7719
31.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 1544
20.0%
월 490
 
6.3%
청 489
 
6.3%
년 487
 
6.3%
소 478
 
6.2%
금 472
 
6.1%
인 469
 
6.1%
수 454
 
5.9%
성 428
 
5.5%
화 410
 
5.3%
Other values (43) 1998
25.9%
Common
ValueCountFrequency (%)
0 4979
29.7%
, 3924
23.4%
2488
14.8%
) 951
 
5.7%
( 950
 
5.7%
5 672
 
4.0%
3 522
 
3.1%
6 480
 
2.9%
4 436
 
2.6%
2 400
 
2.4%
Other values (7) 984
 
5.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 16786
68.5%
Hangul 7719
31.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 4979
29.7%
, 3924
23.4%
2488
14.8%
) 951
 
5.7%
( 950
 
5.7%
5 672
 
4.0%
3 522
 
3.1%
6 480
 
2.9%
4 436
 
2.6%
2 400
 
2.4%
Other values (7) 984
 
5.9%
Hangul
ValueCountFrequency (%)
원 1544
20.0%
월 490
 
6.3%
청 489
 
6.3%
년 487
 
6.3%
소 478
 
6.2%
금 472
 
6.1%
인 469
 
6.1%
수 454
 
5.9%
성 428
 
5.5%
화 410
 
5.3%
Other values (43) 1998
25.9%

준비물
Text

MISSING 

Distinct59
Distinct (%)13.3%
Missing198
Missing (%)30.8%
Memory size5.1 KiB
2023-12-12T23:38:51.041241image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length21
Mean length9.7995495
Min length1

Characters and Unicode

Total characters4351
Distinct characters139
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique10 ?
Unique (%)2.3%

Sample

1st row간편복, 실내운동화
2nd row간편복, 실내운동화
3rd row간편복, 실내운동화
4th row간편복, 실내운동화
5th row간편복, 실내운동화
ValueCountFrequency (%)
홈페이지 78
 
8.6%
참조 78
 
8.6%
수영복 63
 
7.0%
편안한 47
 
5.2%
복장 46
 
5.1%
운동복 39
 
4.3%
실내운동화 35
 
3.9%
편안한복장 32
 
3.5%
요가매트 29
 
3.2%
골프화 28
 
3.1%
Other values (70) 428
47.4%
2023-12-12T23:38:51.427016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
475
 
10.9%
, 370
 
8.5%
복 258
 
5.9%
화 149
 
3.4%
동 122
 
2.8%
운 122
 
2.8%
장 117
 
2.7%
편 114
 
2.6%
이 110
 
2.5%
지 92
 
2.1%
Other values (129) 2422
55.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3388
77.9%
Space Separator 475
 
10.9%
Other Punctuation 371
 
8.5%
Close Punctuation 39
 
0.9%
Open Punctuation 39
 
0.9%
Decimal Number 20
 
0.5%
Uppercase Letter 16
 
0.4%
Dash Punctuation 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
복 258
 
7.6%
화 149
 
4.4%
동 122
 
3.6%
운 122
 
3.6%
장 117
 
3.5%
편 114
 
3.4%
이 110
 
3.2%
지 92
 
2.7%
수 84
 
2.5%
한 81
 
2.4%
Other values (114) 2139
63.1%
Decimal Number
ValueCountFrequency (%)
0 10
50.0%
5 4
 
20.0%
3 2
 
10.0%
2 2
 
10.0%
4 2
 
10.0%
Uppercase Letter
ValueCountFrequency (%)
D 4
25.0%
R 4
25.0%
L 4
25.0%
S 4
25.0%
Other Punctuation
ValueCountFrequency (%)
, 370
99.7%
※ 1
 
0.3%
Space Separator
ValueCountFrequency (%)
475
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3388
77.9%
Common 947
 
21.8%
Latin 16
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
복 258
 
7.6%
화 149
 
4.4%
동 122
 
3.6%
운 122
 
3.6%
장 117
 
3.5%
편 114
 
3.4%
이 110
 
3.2%
지 92
 
2.7%
수 84
 
2.5%
한 81
 
2.4%
Other values (114) 2139
63.1%
Common
ValueCountFrequency (%)
475
50.2%
, 370
39.1%
) 39
 
4.1%
( 39
 
4.1%
0 10
 
1.1%
5 4
 
0.4%
- 3
 
0.3%
3 2
 
0.2%
2 2
 
0.2%
4 2
 
0.2%
Latin
ValueCountFrequency (%)
D 4
25.0%
R 4
25.0%
L 4
25.0%
S 4
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3388
77.9%
ASCII 962
 
22.1%
Punctuation 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
475
49.4%
, 370
38.5%
) 39
 
4.1%
( 39
 
4.1%
0 10
 
1.0%
5 4
 
0.4%
D 4
 
0.4%
R 4
 
0.4%
L 4
 
0.4%
S 4
 
0.4%
Other values (4) 9
 
0.9%
Hangul
ValueCountFrequency (%)
복 258
 
7.6%
화 149
 
4.4%
동 122
 
3.6%
운 122
 
3.6%
장 117
 
3.5%
편 114
 
3.4%
이 110
 
3.2%
지 92
 
2.7%
수 84
 
2.5%
한 81
 
2.4%
Other values (114) 2139
63.1%
Punctuation
ValueCountFrequency (%)
※ 1
100.0%

정원
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct25
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size5.1 KiB
<NA>
455 
35명
 
27
30
 
26
성인 30명, 어린이 20명
 
26
24
 
12
Other values (20)
96 

Length

Max length26
Median length4
Mean length4.4844237
Min length1

Unique

Unique5 ?
Unique (%)0.8%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 455
70.9%
35명 27
 
4.2%
30 26
 
4.0%
성인 30명, 어린이 20명 26
 
4.0%
24 12
 
1.9%
3 12
 
1.9%
- 11
 
1.7%
25명 10
 
1.6%
30명 9
 
1.4%
기초23, 중급23, 상급 30, 교,연수 30 8
 
1.2%
Other values (15) 46
 
7.2%

Length

2023-12-12T23:38:51.560870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 455
58.2%
30 43
 
5.5%
30명 35
 
4.5%
35명 27
 
3.5%
성인 26
 
3.3%
어린이 26
 
3.3%
20명 26
 
3.3%
상급 13
 
1.7%
24 12
 
1.5%
교,연수 12
 
1.5%
Other values (22) 107
 
13.7%

일일자유이용금액
Text

MISSING 

Distinct6
Distinct (%)50.0%
Missing630
Missing (%)98.1%
Memory size5.1 KiB
2023-12-12T23:38:51.737256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length87
Median length86
Mean length58.25
Min length1

Characters and Unicode

Total characters699
Distinct characters35
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

Unique3 ?
Unique (%)25.0%

Sample

1st row일일입장 월회원 성인 3,000원, 청소년/군인 2,500원, 어린이 3,000원, 비회원 성인 4,000원, 청소년/군인 3,500, 어린이 3,000원
2nd row일일입장 월회원 성인 3,000원, 청소년/군인 2,500원, 어린이 3,000원, 비회원 성인 4,000원, 청소년/군인 3,500, 어린이 3,000원
3rd row일일입장 월회원 성인 3,000원, 청소년/군인 2,500원, 어린이 3,000원, 비회원 성인 4,000원, 청소년/군인 3,500, 어린이 3,000원
4th row일일입장 월회원 성인 3,000원, 청소년/군인 2,500원, 어린이 3,000원, 비회원 성인 4,000원, 청소년/군인 3,500, 어린이 3,001원
5th row-
ValueCountFrequency (%)
성인 14
13.3%
3,000원 11
 
10.5%
청소년/군인 11
 
10.5%
어린이 10
 
9.5%
비회원 8
 
7.6%
일일입장 6
 
5.7%
월회원 5
 
4.8%
2,500원 4
 
3.8%
4,000원 4
 
3.8%
3,500 4
 
3.8%
Other values (13) 28
26.7%
2023-12-12T23:38:52.122298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 120
17.2%
, 93
13.3%
93
13.3%
원 45
 
6.4%
3 28
 
4.0%
인 26
 
3.7%
5 23
 
3.3%
이 22
 
3.1%
4 20
 
2.9%
청 17
 
2.4%
Other values (25) 212
30.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 271
38.8%
Decimal Number 216
30.9%
Other Punctuation 104
 
14.9%
Space Separator 93
 
13.3%
Open Punctuation 6
 
0.9%
Close Punctuation 6
 
0.9%
Dash Punctuation 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
원 45
16.6%
인 26
 
9.6%
이 22
 
8.1%
청 17
 
6.3%
년 17
 
6.3%
소 17
 
6.3%
어 16
 
5.9%
린 16
 
5.9%
회 16
 
5.9%
성 14
 
5.2%
Other values (10) 65
24.0%
Decimal Number
ValueCountFrequency (%)
0 120
55.6%
3 28
 
13.0%
5 23
 
10.6%
4 20
 
9.3%
6 12
 
5.6%
2 9
 
4.2%
8 2
 
0.9%
1 1
 
0.5%
7 1
 
0.5%
Other Punctuation
ValueCountFrequency (%)
, 93
89.4%
/ 11
 
10.6%
Space Separator
ValueCountFrequency (%)
93
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 428
61.2%
Hangul 271
38.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
원 45
16.6%
인 26
 
9.6%
이 22
 
8.1%
청 17
 
6.3%
년 17
 
6.3%
소 17
 
6.3%
어 16
 
5.9%
린 16
 
5.9%
회 16
 
5.9%
성 14
 
5.2%
Other values (10) 65
24.0%
Common
ValueCountFrequency (%)
0 120
28.0%
, 93
21.7%
93
21.7%
3 28
 
6.5%
5 23
 
5.4%
4 20
 
4.7%
6 12
 
2.8%
/ 11
 
2.6%
2 9
 
2.1%
( 6
 
1.4%
Other values (5) 13
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 428
61.2%
Hangul 271
38.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 120
28.0%
, 93
21.7%
93
21.7%
3 28
 
6.5%
5 23
 
5.4%
4 20
 
4.7%
6 12
 
2.8%
/ 11
 
2.6%
2 9
 
2.1%
( 6
 
1.4%
Other values (5) 13
 
3.0%
Hangul
ValueCountFrequency (%)
원 45
16.6%
인 26
 
9.6%
이 22
 
8.1%
청 17
 
6.3%
년 17
 
6.3%
소 17
 
6.3%
어 16
 
5.9%
린 16
 
5.9%
회 16
 
5.9%
성 14
 
5.2%
Other values (10) 65
24.0%

일일자유이용시간
Text

MISSING 

Distinct6
Distinct (%)54.5%
Missing631
Missing (%)98.3%
Memory size5.1 KiB
2023-12-12T23:38:52.317672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length99
Median length94
Mean length49.909091
Min length1

Characters and Unicode

Total characters549
Distinct characters31
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3 ?
Unique (%)27.3%

Sample

1st row평일(월~금) 1부 08:00~08:50, 2부 12:00~12:50, 3부 18:00~18:50, 토/일요일 1부 09:00~11:50, 2부 13:00~17:50
2nd row평일(월~금) 1부 08:00~08:50, 2부 12:00~12:50, 3부 18:00~18:50, 토/일요일 1부 09:00~11:50, 2부 13:00~17:50
3rd row평일(월~토) 1부14:00~17:45, 2부 일/공휴일 12:00~17:45
4th row평일(월~토) 1부14:00~17:45, 2부 일/공휴일 12:00~17:46
5th row-
ValueCountFrequency (%)
1부 12
16.2%
2부 10
13.5%
평일(월~금 6
 
8.1%
3부 4
 
5.4%
3
 
4.1%
17:00~18:00 3
 
4.1%
토요일 3
 
4.1%
09:00~12:50 3
 
4.1%
14:00~17:50 3
 
4.1%
08:00~08:50 3
 
4.1%
Other values (14) 24
32.4%
2023-12-12T23:38:52.615569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 95
17.3%
70
12.8%
1 61
11.1%
: 56
10.2%
~ 36
 
6.6%
부 28
 
5.1%
5 24
 
4.4%
일 22
 
4.0%
2 19
 
3.5%
, 16
 
2.9%
Other values (21) 122
22.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 252
45.9%
Other Letter 95
 
17.3%
Other Punctuation 77
 
14.0%
Space Separator 70
 
12.8%
Math Symbol 36
 
6.6%
Close Punctuation 8
 
1.5%
Open Punctuation 8
 
1.5%
Dash Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 28
29.5%
일 22
23.2%
평 8
 
8.4%
토 8
 
8.4%
월 8
 
8.4%
요 7
 
7.4%
금 6
 
6.3%
공 2
 
2.1%
휴 2
 
2.1%
이 1
 
1.1%
Other values (3) 3
 
3.2%
Decimal Number
ValueCountFrequency (%)
0 95
37.7%
1 61
24.2%
5 24
 
9.5%
2 19
 
7.5%
8 15
 
6.0%
7 13
 
5.2%
4 10
 
4.0%
3 7
 
2.8%
9 6
 
2.4%
6 2
 
0.8%
Other Punctuation
ValueCountFrequency (%)
: 56
72.7%
, 16
 
20.8%
/ 5
 
6.5%
Space Separator
ValueCountFrequency (%)
70
100.0%
Math Symbol
ValueCountFrequency (%)
~ 36
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 454
82.7%
Hangul 95
 
17.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 95
20.9%
70
15.4%
1 61
13.4%
: 56
12.3%
~ 36
 
7.9%
5 24
 
5.3%
2 19
 
4.2%
, 16
 
3.5%
8 15
 
3.3%
7 13
 
2.9%
Other values (8) 49
10.8%
Hangul
ValueCountFrequency (%)
부 28
29.5%
일 22
23.2%
평 8
 
8.4%
토 8
 
8.4%
월 8
 
8.4%
요 7
 
7.4%
금 6
 
6.3%
공 2
 
2.1%
휴 2
 
2.1%
이 1
 
1.1%
Other values (3) 3
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 454
82.7%
Hangul 95
 
17.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 95
20.9%
70
15.4%
1 61
13.4%
: 56
12.3%
~ 36
 
7.9%
5 24
 
5.3%
2 19
 
4.2%
, 16
 
3.5%
8 15
 
3.3%
7 13
 
2.9%
Other values (8) 49
10.8%
Hangul
ValueCountFrequency (%)
부 28
29.5%
일 22
23.2%
평 8
 
8.4%
토 8
 
8.4%
월 8
 
8.4%
요 7
 
7.4%
금 6
 
6.3%
공 2
 
2.1%
휴 2
 
2.1%
이 1
 
1.1%
Other values (3) 3
 
3.2%

사물함 이용안내
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing639
Missing (%)99.5%
Memory size5.1 KiB
2023-12-12T23:38:52.849061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length64
Median length64
Mean length57
Min length43

Characters and Unicode

Total characters171
Distinct characters46
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1 ?
Unique (%)33.3%

Sample

1st row1층 1,261개, 2층 424개, 3층 144개 총계:1,829, 접수 신규:고객도움창구, 재접수:온라인 및 현장
2nd row1층 1,261개, 2층 424개, 3층 144개 총계:1,829, 접수 신규:고객도움창구, 재접수:온라인 및 현장
3rd row지하1층 수영전망대옆, 2층 골프장 내, 4층 G.X실 앞, 접수 고객도움창구
ValueCountFrequency (%)
접수 3
 
8.8%
2층 3
 
8.8%
1층 2
 
5.9%
현장 2
 
5.9%
1,261개 2
 
5.9%
재접수:온라인 2
 
5.9%
신규:고객도움창구 2
 
5.9%
및 2
 
5.9%
총계:1,829 2
 
5.9%
144개 2
 
5.9%
Other values (10) 12
35.3%
2023-12-12T23:38:53.191074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
31
18.1%
, 15
 
8.8%
1 11
 
6.4%
2 9
 
5.3%
4 9
 
5.3%
층 9
 
5.3%
개 6
 
3.5%
: 6
 
3.5%
수 6
 
3.5%
접 5
 
2.9%
Other values (36) 64
37.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 79
46.2%
Decimal Number 37
21.6%
Space Separator 31
 
18.1%
Other Punctuation 22
 
12.9%
Uppercase Letter 2
 
1.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
층 9
 
11.4%
개 6
 
7.6%
수 6
 
7.6%
접 5
 
6.3%
고 3
 
3.8%
장 3
 
3.8%
창 3
 
3.8%
움 3
 
3.8%
도 3
 
3.8%
객 3
 
3.8%
Other values (23) 35
44.3%
Decimal Number
ValueCountFrequency (%)
1 11
29.7%
2 9
24.3%
4 9
24.3%
6 2
 
5.4%
3 2
 
5.4%
8 2
 
5.4%
9 2
 
5.4%
Other Punctuation
ValueCountFrequency (%)
, 15
68.2%
: 6
 
27.3%
. 1
 
4.5%
Uppercase Letter
ValueCountFrequency (%)
X 1
50.0%
G 1
50.0%
Space Separator
ValueCountFrequency (%)
31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 90
52.6%
Hangul 79
46.2%
Latin 2
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
층 9
 
11.4%
개 6
 
7.6%
수 6
 
7.6%
접 5
 
6.3%
고 3
 
3.8%
장 3
 
3.8%
창 3
 
3.8%
움 3
 
3.8%
도 3
 
3.8%
객 3
 
3.8%
Other values (23) 35
44.3%
Common
ValueCountFrequency (%)
31
34.4%
, 15
16.7%
1 11
 
12.2%
2 9
 
10.0%
4 9
 
10.0%
: 6
 
6.7%
6 2
 
2.2%
3 2
 
2.2%
8 2
 
2.2%
9 2
 
2.2%
Latin
ValueCountFrequency (%)
X 1
50.0%
G 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 92
53.8%
Hangul 79
46.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
31
33.7%
, 15
16.3%
1 11
 
12.0%
2 9
 
9.8%
4 9
 
9.8%
: 6
 
6.5%
6 2
 
2.2%
3 2
 
2.2%
8 2
 
2.2%
9 2
 
2.2%
Other values (3) 3
 
3.3%
Hangul
ValueCountFrequency (%)
층 9
 
11.4%
개 6
 
7.6%
수 6
 
7.6%
접 5
 
6.3%
고 3
 
3.8%
장 3
 
3.8%
창 3
 
3.8%
움 3
 
3.8%
도 3
 
3.8%
객 3
 
3.8%
Other values (23) 35
44.3%

사물함 이용금액
Text

MISSING 

Distinct2
Distinct (%)66.7%
Missing639
Missing (%)99.5%
Memory size5.1 KiB
2023-12-12T23:38:53.367183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length14
Mean length19
Min length14

Characters and Unicode

Total characters57
Distinct characters11
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

Unique1 ?
Unique (%)33.3%

Sample

1st row4,000원, 5,000원
2nd row4,000원, 5,000원
3rd row소 5,500원, 중 8,800원, 대 11,000원
ValueCountFrequency (%)
4,000원 2
20.0%
5,000원 2
20.0%
소 1
10.0%
5,500원 1
10.0%
중 1
10.0%
8,800원 1
10.0%
대 1
10.0%
11,000원 1
10.0%
2023-12-12T23:38:53.729169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 19
33.3%
, 11
19.3%
원 7
 
12.3%
7
 
12.3%
5 4
 
7.0%
4 2
 
3.5%
8 2
 
3.5%
1 2
 
3.5%
소 1
 
1.8%
중 1
 
1.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 29
50.9%
Other Punctuation 11
 
19.3%
Other Letter 10
 
17.5%
Space Separator 7
 
12.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 19
65.5%
5 4
 
13.8%
4 2
 
6.9%
8 2
 
6.9%
1 2
 
6.9%
Other Letter
ValueCountFrequency (%)
원 7
70.0%
소 1
 
10.0%
중 1
 
10.0%
대 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 11
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 47
82.5%
Hangul 10
 
17.5%

Most frequent character per script

Common
ValueCountFrequency (%)
0 19
40.4%
, 11
23.4%
7
 
14.9%
5 4
 
8.5%
4 2
 
4.3%
8 2
 
4.3%
1 2
 
4.3%
Hangul
ValueCountFrequency (%)
원 7
70.0%
소 1
 
10.0%
중 1
 
10.0%
대 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 47
82.5%
Hangul 10
 
17.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 19
40.4%
, 11
23.4%
7
 
14.9%
5 4
 
8.5%
4 2
 
4.3%
8 2
 
4.3%
1 2
 
4.3%
Hangul
ValueCountFrequency (%)
원 7
70.0%
소 1
 
10.0%
중 1
 
10.0%
대 1
 
10.0%

Correlations

2023-12-12T23:38:53.831354image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
센터명시설명요일교육대상준비물정원일일자유이용금액일일자유이용시간사물함 이용안내사물함 이용금액
센터명1.0000.9730.8380.9690.9800.9300.9700.9600.0000.000
시설명0.9731.0000.8720.9470.9870.9920.8470.881NaNNaN
요일0.8380.8721.0000.8800.9270.8250.8100.8310.0000.000
교육대상0.9690.9470.8801.0000.9700.8700.9571.000NaNNaN
준비물0.9800.9870.9270.9701.0000.9410.8470.881NaNNaN
정원0.9300.9920.8250.8700.9411.000NaNNaNNaNNaN
일일자유이용금액0.9700.8470.8100.9570.847NaN1.0001.000NaNNaN
일일자유이용시간0.9600.8810.8311.0000.881NaN1.0001.000NaNNaN
사물함 이용안내0.000NaN0.000NaNNaNNaNNaNNaN1.0000.000
사물함 이용금액0.000NaN0.000NaNNaNNaNNaNNaN0.0001.000
2023-12-12T23:38:53.963011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
센터명시설명정원요일
센터명1.0000.8430.6640.550
시설명0.8431.0000.8020.397
정원0.6640.8021.0000.426
요일0.5500.3970.4261.000
2023-12-12T23:38:54.065713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
센터명시설명요일정원
센터명1.0000.8430.5500.664
시설명0.8431.0000.3970.802
요일0.5500.3971.0000.426
정원0.6640.8020.4261.000

Missing values

2023-12-12T23:38:45.798607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T23:38:45.945994image/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.
2023-12-12T23:38:46.074471image/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

센터명시설명강습구분(프로그램)강습반요일강습시간교육대상교육대상 및 이용요금 정보준비물정원일일자유이용금액일일자유이용시간사물함 이용안내사물함 이용금액
0고양체육관수영장(메인풀,보조풀)직장인수영1새벽1반월,수,금06:00~06:50성인,청소년성인(월,수,금) 60,000원, 성인(화,목) 54,000원, 청소년(월,수,금) 50,000원, 청소년(화,목) 45,000원, 어린이(월,수,금) 35,000원, 어린이(화,목) 25,000, 꿈나무반 100,000원<NA><NA><NA><NA><NA><NA>
1고양체육관수영장(메인풀,보조풀)직장인수영1새벽2반화,목<NA>성인,청소년성인(월,수,금) 60,000원, 성인(화,목) 54,000원, 청소년(월,수,금) 50,000원, 청소년(화,목) 45,000원, 어린이(월,수,금) 35,000원, 어린이(화,목) 25,000, 꿈나무반 100,000원<NA><NA><NA><NA><NA><NA>
2고양체육관수영장(메인풀,보조풀)직장인수영1아침1반월,수,금07:00~07:50성인,청소년성인(월,수,금) 60,000원, 성인(화,목) 54,000원, 청소년(월,수,금) 50,000원, 청소년(화,목) 45,000원, 어린이(월,수,금) 35,000원, 어린이(화,목) 25,000, 꿈나무반 100,000원<NA><NA><NA><NA><NA><NA>
3고양체육관수영장(메인풀,보조풀)직장인수영1아침2반화,목<NA>성인,청소년성인(월,수,금) 60,000원, 성인(화,목) 54,000원, 청소년(월,수,금) 50,000원, 청소년(화,목) 45,000원, 어린이(월,수,금) 35,000원, 어린이(화,목) 25,000, 꿈나무반 100,000원<NA><NA><NA><NA><NA><NA>
4고양체육관수영장(메인풀,보조풀)직장인수영1모닝1반월,수,금08:00~08:50성인,청소년성인(월,수,금) 60,000원, 성인(화,목) 54,000원, 청소년(월,수,금) 50,000원, 청소년(화,목) 45,000원, 어린이(월,수,금) 35,000원, 어린이(화,목) 25,000, 꿈나무반 100,000원<NA><NA><NA><NA><NA><NA>
5고양체육관수영장(메인풀,보조풀)직장인수영1모닝2반화,목<NA>성인,청소년성인(월,수,금) 60,000원, 성인(화,목) 54,000원, 청소년(월,수,금) 50,000원, 청소년(화,목) 45,000원, 어린이(월,수,금) 35,000원, 어린이(화,목) 25,000, 꿈나무반 100,000원<NA><NA><NA><NA><NA><NA>
6고양체육관수영장(메인풀,보조풀)유미수영유미1반월,수,금09:00~09:50성인,청소년성인(월,수,금) 60,000원, 성인(화,목) 54,000원, 청소년(월,수,금) 50,000원, 청소년(화,목) 45,000원, 어린이(월,수,금) 35,000원, 어린이(화,목) 25,000, 꿈나무반 100,000원<NA><NA><NA><NA><NA><NA>
7고양체육관수영장(메인풀,보조풀)유미수영유미2반화,목<NA>성인,청소년성인(월,수,금) 60,000원, 성인(화,목) 54,000원, 청소년(월,수,금) 50,000원, 청소년(화,목) 45,000원, 어린이(월,수,금) 35,000원, 어린이(화,목) 25,000, 꿈나무반 100,000원<NA><NA><NA><NA><NA><NA>
8고양체육관수영장(메인풀,보조풀)유미수영유미3반월,수,금10:00~10:50성인,청소년성인(월,수,금) 60,000원, 성인(화,목) 54,000원, 청소년(월,수,금) 50,000원, 청소년(화,목) 45,000원, 어린이(월,수,금) 35,000원, 어린이(화,목) 25,000, 꿈나무반 100,000원<NA><NA><NA><NA><NA><NA>
9고양체육관수영장(메인풀,보조풀)유미수영유미4반화,목<NA>성인,청소년성인(월,수,금) 60,000원, 성인(화,목) 54,000원, 청소년(월,수,금) 50,000원, 청소년(화,목) 45,000원, 어린이(월,수,금) 35,000원, 어린이(화,목) 25,000, 꿈나무반 100,000원<NA><NA><NA><NA><NA><NA>
센터명시설명강습구분(프로그램)강습반요일강습시간교육대상교육대상 및 이용요금 정보준비물정원일일자유이용금액일일자유이용시간사물함 이용안내사물함 이용금액
632고양국민체육센터다목적체육관교정요가요가1반월,수,금15:00~15:50성인, 청소년성인36,000/청소년30,000편안한복장, 요가매트35명<NA><NA><NA><NA>
633고양국민체육센터다목적체육관교정요가요가2반화, 목19:00~19:50성인, 청소년성인28,000/청소년22,000편안한복장, 요가매트35명<NA><NA><NA><NA>
634고양국민체육센터다목적체육관매트 필라테스필라1반월,수,금16:00~16:50성인, 청소년성인39,600/청소년33,000편안한복장, 요가매트30명<NA><NA><NA><NA>
635고양국민체육센터다목적체육관매트 필라테스필라2반화, 목20:00~20:50성인, 청소년성인30,800/청소년24,200편안한복장, 요가매트30명<NA><NA><NA><NA>
636고양국민체육센터다목적체육관밸런스 발레밸런스반월,수,금13:00~13:50성인, 청소년성인43,200/청소년36,000슈즈, 랩스커트, 타이즈 등15명<NA><NA><NA><NA>
637고양국민체육센터다목적체육관발레-핏체형교정반월,수,금14:00~14:50성인, 청소년성인43,200/청소년36,000슈즈, 랩스커트, 타이즈 등15명<NA><NA><NA><NA>
638고양국민체육센터다목적체육관라인댄스입문, 기초반화, 목13:00~13:50성인, 청소년성인30,800/청소년24,200댄스화, 운동복25명<NA><NA><NA><NA>
639고양국민체육센터다목적체육관라인댄스초급반화, 목14:00~14:50성인, 청소년성인30,800/청소년24,200댄스화, 운동복25명<NA><NA><NA><NA>
640고양국민체육센터헬스헬스헬스월~금06:00~21:50성인, 청소년성인 55,000원/청소년 44,000원실내전용화 준비(필수),개인운동복200명<NA><NA><NA><NA>
641고양국민체육센터헬스헬스헬스토,일,공휴일09:00~17:50성인, 청소년일일입장 4,400원, 청소년/군인 3,850원/할인대상자2,200실내전용화 준비(필수),개인운동복50명<NA><NA><NA><NA>