Overview

Dataset statistics

Number of variables13
Number of observations114
Missing cells216
Missing cells (%)14.6%
Duplicate rows1
Duplicate rows (%)0.9%
Total size in memory11.7 KiB
Average record size in memory105.2 B

Variable types

Text3
Categorical10

Dataset

Description에코스포츠센터에서 운영하는 수강프로그램 현황 정보
Author양주시시설관리공단
URLhttps://www.data.go.kr/data/15044520/fileData.do

Alerts

Dataset has 1 (0.9%) duplicate rowsDuplicates
Unnamed: 4 is highly overall correlated with Unnamed: 3 and 6 other fieldsHigh correlation
Unnamed: 6 is highly overall correlated with Unnamed: 3 and 4 other fieldsHigh correlation
Unnamed: 3 is highly overall correlated with Unnamed: 4 and 8 other fieldsHigh correlation
Unnamed: 12 is highly overall correlated with Unnamed: 3 and 7 other fieldsHigh correlation
Unnamed: 9 is highly overall correlated with Unnamed: 3 and 6 other fieldsHigh correlation
Unnamed: 5 is highly overall correlated with Unnamed: 3 and 4 other fieldsHigh correlation
Unnamed: 11 is highly overall correlated with Unnamed: 3 and 7 other fieldsHigh correlation
Unnamed: 8 is highly overall correlated with Unnamed: 3 and 8 other fieldsHigh correlation
Unnamed: 7 is highly overall correlated with Unnamed: 3 and 5 other fieldsHigh correlation
Unnamed: 10 is highly overall correlated with Unnamed: 3 and 5 other fieldsHigh correlation
에코스프츠센터 운영 프로그램 안내 has 54 (47.4%) missing valuesMissing
Unnamed: 1 has 108 (94.7%) missing valuesMissing
Unnamed: 2 has 54 (47.4%) missing valuesMissing

Reproduction

Analysis started2023-12-12 18:05:19.712790
Analysis finished2023-12-12 18:05:21.344805
Duration1.63 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

에코스프츠센터 운영 프로그램 안내
Text

MISSING 

Distinct60
Distinct (%)100.0%
Missing54
Missing (%)47.4%
Memory size1.0 KiB
2023-12-13T03:05:21.551280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length2
Mean length1.8666667
Min length1

Characters and Unicode

Total characters112
Distinct characters13
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

Unique60 ?
Unique (%)100.0%

Sample

1st row연 번
2nd row1
3rd row2
4th row3
5th row4
ValueCountFrequency (%)
연 1
 
1.6%
30 1
 
1.6%
32 1
 
1.6%
33 1
 
1.6%
34 1
 
1.6%
35 1
 
1.6%
36 1
 
1.6%
37 1
 
1.6%
38 1
 
1.6%
39 1
 
1.6%
Other values (51) 51
83.6%
2023-12-13T03:05:22.038578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 16
14.3%
2 16
14.3%
3 16
14.3%
4 16
14.3%
5 16
14.3%
6 6
 
5.4%
7 6
 
5.4%
8 6
 
5.4%
9 6
 
5.4%
0 5
 
4.5%
Other values (3) 3
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 109
97.3%
Other Letter 2
 
1.8%
Space Separator 1
 
0.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 16
14.7%
2 16
14.7%
3 16
14.7%
4 16
14.7%
5 16
14.7%
6 6
 
5.5%
7 6
 
5.5%
8 6
 
5.5%
9 6
 
5.5%
0 5
 
4.6%
Other Letter
ValueCountFrequency (%)
연 1
50.0%
번 1
50.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 110
98.2%
Hangul 2
 
1.8%

Most frequent character per script

Common
ValueCountFrequency (%)
1 16
14.5%
2 16
14.5%
3 16
14.5%
4 16
14.5%
5 16
14.5%
6 6
 
5.5%
7 6
 
5.5%
8 6
 
5.5%
9 6
 
5.5%
0 5
 
4.5%
Hangul
ValueCountFrequency (%)
연 1
50.0%
번 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 110
98.2%
Hangul 2
 
1.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 16
14.5%
2 16
14.5%
3 16
14.5%
4 16
14.5%
5 16
14.5%
6 6
 
5.5%
7 6
 
5.5%
8 6
 
5.5%
9 6
 
5.5%
0 5
 
4.5%
Hangul
ValueCountFrequency (%)
연 1
50.0%
번 1
50.0%

Unnamed: 1
Text

MISSING 

Distinct6
Distinct (%)100.0%
Missing108
Missing (%)94.7%
Memory size1.0 KiB
2023-12-13T03:05:22.212083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length4.5
Mean length4.3333333
Min length2

Characters and Unicode

Total characters26
Distinct characters16
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique6 ?
Unique (%)100.0%

Sample

1st row구 분
2nd row수영프로그램
3rd row헬스프로그램
4th rowGX프로그램
5th row골프
ValueCountFrequency (%)
구 1
14.3%
분 1
14.3%
수영프로그램 1
14.3%
헬스프로그램 1
14.3%
gx프로그램 1
14.3%
골프 1
14.3%
스쿼시 1
14.3%
2023-12-13T03:05:22.571488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
프 4
15.4%
로 3
11.5%
그 3
11.5%
램 3
11.5%
스 2
 
7.7%
구 1
 
3.8%
1
 
3.8%
분 1
 
3.8%
수 1
 
3.8%
영 1
 
3.8%
Other values (6) 6
23.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 23
88.5%
Uppercase Letter 2
 
7.7%
Space Separator 1
 
3.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
프 4
17.4%
로 3
13.0%
그 3
13.0%
램 3
13.0%
스 2
8.7%
구 1
 
4.3%
분 1
 
4.3%
수 1
 
4.3%
영 1
 
4.3%
헬 1
 
4.3%
Other values (3) 3
13.0%
Uppercase Letter
ValueCountFrequency (%)
G 1
50.0%
X 1
50.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 23
88.5%
Latin 2
 
7.7%
Common 1
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
프 4
17.4%
로 3
13.0%
그 3
13.0%
램 3
13.0%
스 2
8.7%
구 1
 
4.3%
분 1
 
4.3%
수 1
 
4.3%
영 1
 
4.3%
헬 1
 
4.3%
Other values (3) 3
13.0%
Latin
ValueCountFrequency (%)
G 1
50.0%
X 1
50.0%
Common
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 23
88.5%
ASCII 3
 
11.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
프 4
17.4%
로 3
13.0%
그 3
13.0%
램 3
13.0%
스 2
8.7%
구 1
 
4.3%
분 1
 
4.3%
수 1
 
4.3%
영 1
 
4.3%
헬 1
 
4.3%
Other values (3) 3
13.0%
ASCII
ValueCountFrequency (%)
1
33.3%
G 1
33.3%
X 1
33.3%

Unnamed: 2
Text

MISSING 

Distinct60
Distinct (%)100.0%
Missing54
Missing (%)47.4%
Memory size1.0 KiB
2023-12-13T03:05:22.810315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length17
Mean length12.766667
Min length4

Characters and Unicode

Total characters766
Distinct characters87
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique60 ?
Unique (%)100.0%

Sample

1st row강습반명
2nd row직장인 해돋이반 초급
3rd row직장인 해돋이반 중급
4th row직장인 해돋이반 상급·연수
5th row직장인 햇살반 초급
ValueCountFrequency (%)
20
 
8.7%
성인 20
 
8.7%
수영 18
 
7.8%
어린이 16
 
7.0%
직장인 12
 
5.2%
초급 11
 
4.8%
유아 8
 
3.5%
스쿼시 8
 
3.5%
토요속성 7
 
3.0%
속성수영 7
 
3.0%
Other values (48) 103
44.8%
2023-12-13T03:05:23.206083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
176
23.0%
성 35
 
4.6%
인 33
 
4.3%
수 33
 
4.3%
급 30
 
3.9%
영 28
 
3.7%
반 25
 
3.3%
이 21
 
2.7%
스 20
 
2.6%
린 17
 
2.2%
Other values (77) 348
45.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 545
71.1%
Space Separator 176
 
23.0%
Other Punctuation 19
 
2.5%
Uppercase Letter 14
 
1.8%
Dash Punctuation 12
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
성 35
 
6.4%
인 33
 
6.1%
수 33
 
6.1%
급 30
 
5.5%
영 28
 
5.1%
반 25
 
4.6%
이 21
 
3.9%
스 20
 
3.7%
린 17
 
3.1%
어 17
 
3.1%
Other values (69) 286
52.5%
Uppercase Letter
ValueCountFrequency (%)
A 6
42.9%
B 5
35.7%
C 2
 
14.3%
D 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
, 10
52.6%
· 9
47.4%
Space Separator
ValueCountFrequency (%)
176
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 545
71.1%
Common 207
 
27.0%
Latin 14
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
성 35
 
6.4%
인 33
 
6.1%
수 33
 
6.1%
급 30
 
5.5%
영 28
 
5.1%
반 25
 
4.6%
이 21
 
3.9%
스 20
 
3.7%
린 17
 
3.1%
어 17
 
3.1%
Other values (69) 286
52.5%
Common
ValueCountFrequency (%)
176
85.0%
- 12
 
5.8%
, 10
 
4.8%
· 9
 
4.3%
Latin
ValueCountFrequency (%)
A 6
42.9%
B 5
35.7%
C 2
 
14.3%
D 1
 
7.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 545
71.1%
ASCII 212
 
27.7%
None 9
 
1.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
176
83.0%
- 12
 
5.7%
, 10
 
4.7%
A 6
 
2.8%
B 5
 
2.4%
C 2
 
0.9%
D 1
 
0.5%
Hangul
ValueCountFrequency (%)
성 35
 
6.4%
인 33
 
6.1%
수 33
 
6.1%
급 30
 
5.5%
영 28
 
5.1%
반 25
 
4.6%
이 21
 
3.9%
스 20
 
3.7%
린 17
 
3.1%
어 17
 
3.1%
Other values (69) 286
52.5%
None
ValueCountFrequency (%)
· 9
100.0%

Unnamed: 3
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
54 
수영장
47 
헬스장
 
4
스쿼시장
 
4
GX룸
 
3
Other values (2)
 
2

Length

Max length4
Median length4
Mean length3.5087719
Min length3

Unique

Unique2 ?
Unique (%)1.8%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 54
47.4%
수영장 47
41.2%
헬스장 4
 
3.5%
스쿼시장 4
 
3.5%
GX룸 3
 
2.6%
장 소 1
 
0.9%
골프장 1
 
0.9%

Length

2023-12-13T03:05:23.395999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:05:23.511334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 54
47.0%
수영장 47
40.9%
헬스장 4
 
3.5%
스쿼시장 4
 
3.5%
gx룸 3
 
2.6%
장 1
 
0.9%
소 1
 
0.9%
골프장 1
 
0.9%

Unnamed: 4
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
54 
중고생,성인남여
32 
초등학생
12 
성인남여
8 
5~7세 유아
 
3
Other values (3)
 
5

Length

Max length8
Median length4
Mean length5.2280702
Min length3

Unique

Unique2 ?
Unique (%)1.8%

Sample

1st row<NA>
2nd row대 상
3rd row중고생,성인남여
4th row중고생,성인남여
5th row중고생,성인남여

Common Values

ValueCountFrequency (%)
<NA> 54
47.4%
중고생,성인남여 32
28.1%
초등학생 12
 
10.5%
성인남여 8
 
7.0%
5~7세 유아 3
 
2.6%
전체이용 3
 
2.6%
대 상 1
 
0.9%
초등학생,중고생 1
 
0.9%

Length

2023-12-13T03:05:23.637169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:05:23.754260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 54
45.8%
중고생,성인남여 32
27.1%
초등학생 12
 
10.2%
성인남여 8
 
6.8%
5~7세 3
 
2.5%
유아 3
 
2.5%
전체이용 3
 
2.5%
대 1
 
0.8%
상 1
 
0.8%
초등학생,중고생 1
 
0.8%

Unnamed: 5
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)22.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
54 
10:00-10:50
6 
16:00-16:50
6 
17:00-17:50
 
5
09:00-09:50
 
5
Other values (21)
38 

Length

Max length82
Median length46.5
Mean length8.877193
Min length4

Unique

Unique12 ?
Unique (%)10.5%

Sample

1st row<NA>
2nd row총수업시간
3rd row06:00-06:50
4th row06:00-06:50
5th row06:00-06:50

Common Values

ValueCountFrequency (%)
<NA> 54
47.4%
10:00-10:50 6
 
5.3%
16:00-16:50 6
 
5.3%
17:00-17:50 5
 
4.4%
09:00-09:50 5
 
4.4%
06:00-22:00 4
 
3.5%
15:00-15:50 3
 
2.6%
11:00-11:50 3
 
2.6%
06:00-06:50 3
 
2.6%
19:00-19:50 3
 
2.6%
Other values (16) 22
19.3%

Length

2023-12-13T03:05:23.893391image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 54
45.0%
10:00-10:50 6
 
5.0%
16:00-16:50 6
 
5.0%
17:00-17:50 5
 
4.2%
09:00-09:50 5
 
4.2%
20:00-20:50 5
 
4.2%
06:00-22:00 4
 
3.3%
15:00-15:50 3
 
2.5%
11:00-11:50 3
 
2.5%
06:00-06:50 3
 
2.5%
Other values (18) 26
21.7%

Unnamed: 6
Categorical

HIGH CORRELATION 

Distinct26
Distinct (%)22.8%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
54 
10:00-10:50
6 
16:00-16:50
6 
17:00-17:50
 
5
09:00-09:50
 
5
Other values (21)
38 

Length

Max length77
Median length44
Mean length8.7807018
Min length4

Unique

Unique12 ?
Unique (%)10.5%

Sample

1st row<NA>
2nd row운영시간
3rd row06:00-06:50
4th row06:00-06:50
5th row06:00-06:50

Common Values

ValueCountFrequency (%)
<NA> 54
47.4%
10:00-10:50 6
 
5.3%
16:00-16:50 6
 
5.3%
17:00-17:50 5
 
4.4%
09:00-09:50 5
 
4.4%
06:00-22:00 4
 
3.5%
15:00-15:50 3
 
2.6%
11:00-11:50 3
 
2.6%
06:00-06:50 3
 
2.6%
19:00-19:50 3
 
2.6%
Other values (16) 22
19.3%

Length

2023-12-13T03:05:24.043252image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 54
45.0%
10:00-10:50 6
 
5.0%
16:00-16:50 6
 
5.0%
17:00-17:50 5
 
4.2%
09:00-09:50 5
 
4.2%
06:00-22:00 4
 
3.3%
15:00-15:50 3
 
2.5%
11:00-11:50 3
 
2.5%
06:00-06:50 3
 
2.5%
19:00-19:50 3
 
2.5%
Other values (19) 28
23.3%

Unnamed: 7
Categorical

HIGH CORRELATION 

Distinct16
Distinct (%)14.0%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
54 
월,화,목,금
29 
월,수,금
7 
월,화,수,목,금
 
5
토
 
3
Other values (11)
16 

Length

Max length11
Median length9
Mean length4.9736842
Min length1

Unique

Unique7 ?
Unique (%)6.1%

Sample

1st row<NA>
2nd row강습요일
3rd row월,화,목,금
4th row월,화,목,금
5th row월,화,목,금

Common Values

ValueCountFrequency (%)
<NA> 54
47.4%
월,화,목,금 29
25.4%
월,수,금 7
 
6.1%
월,화,수,목,금 5
 
4.4%
토 3
 
2.6%
월,화,수,목,금,토 3
 
2.6%
화,목,금 2
 
1.8%
수 2
 
1.8%
화,목 2
 
1.8%
강습요일 1
 
0.9%
Other values (6) 6
 
5.3%

Length

2023-12-13T03:05:24.204515image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 54
47.4%
월,화,목,금 29
25.4%
월,수,금 7
 
6.1%
월,화,수,목,금 5
 
4.4%
토 3
 
2.6%
월,화,수,목,금,토 3
 
2.6%
화,목,금 2
 
1.8%
수 2
 
1.8%
화,목 2
 
1.8%
강습요일 1
 
0.9%
Other values (6) 6
 
5.3%

Unnamed: 8
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)10.5%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
54 
60,000
28 
45,000
8 
90,000(3개월)
8 
40,000
 
4
Other values (7)
12 

Length

Max length13
Median length9
Mean length6.4298246
Min length4

Unique

Unique4 ?
Unique (%)3.5%

Sample

1st row<NA>
2nd row 가 격
3rd row 60,000
4th row 60,000
5th row 60,000

Common Values

ValueCountFrequency (%)
<NA> 54
47.4%
60,000 28
24.6%
45,000 8
 
7.0%
90,000(3개월) 8
 
7.0%
40,000 4
 
3.5%
30,000 3
 
2.6%
70,000 3
 
2.6%
175,200 2
 
1.8%
가 격 1
 
0.9%
22,500 1
 
0.9%
Other values (2) 2
 
1.8%

Length

2023-12-13T03:05:24.382634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 54
47.0%
60,000 28
24.3%
45,000 8
 
7.0%
90,000(3개월 8
 
7.0%
40,000 4
 
3.5%
30,000 3
 
2.6%
70,000 3
 
2.6%
175,200 2
 
1.7%
가 1
 
0.9%
격 1
 
0.9%
Other values (3) 3
 
2.6%

Unnamed: 9
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)12.3%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
54 
25
19 
20
14 
9
7 
10
 
4
Other values (9)
16 

Length

Max length5
Median length4
Mean length2.9035088
Min length1

Unique

Unique4 ?
Unique (%)3.5%

Sample

1st row<NA>
2nd row총등록인원
3rd row25
4th row25
5th row25

Common Values

ValueCountFrequency (%)
<NA> 54
47.4%
25 19
 
16.7%
20 14
 
12.3%
9 7
 
6.1%
10 4
 
3.5%
6 4
 
3.5%
15 2
 
1.8%
5 2
 
1.8%
100 2
 
1.8%
400 2
 
1.8%
Other values (4) 4
 
3.5%

Length

2023-12-13T03:05:24.548867image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 54
47.4%
25 19
 
16.7%
20 14
 
12.3%
9 7
 
6.1%
10 4
 
3.5%
6 4
 
3.5%
15 2
 
1.8%
5 2
 
1.8%
100 2
 
1.8%
400 2
 
1.8%
Other values (4) 4
 
3.5%

Unnamed: 10
Categorical

HIGH CORRELATION 

Distinct19
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
<NA>
55 
김지현
9 
손태희
8 
박정준
 
5
최다훈
 
4
Other values (14)
33 

Length

Max length7
Median length6
Mean length3.754386
Min length3

Unique

Unique3 ?
Unique (%)2.6%

Sample

1st row<NA>
2nd row강사프로필
3rd row손태희
4th row이종헌
5th row이주원

Common Values

ValueCountFrequency (%)
<NA> 55
48.2%
김지현 9
 
7.9%
손태희 8
 
7.0%
박정준 5
 
4.4%
최다훈 4
 
3.5%
최윤정 4
 
3.5%
이주원 4
 
3.5%
이종헌 4
 
3.5%
안지훈 4
 
3.5%
헬스트레이너 2
 
1.8%
Other values (9) 15
 
13.2%

Length

2023-12-13T03:05:24.830832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 55
47.4%
김지현 9
 
7.8%
손태희 8
 
6.9%
박정준 5
 
4.3%
최다훈 4
 
3.4%
최윤정 4
 
3.4%
이주원 4
 
3.4%
이종헌 4
 
3.4%
안지훈 4
 
3.4%
수상안전요원 2
 
1.7%
Other values (10) 17
 
14.7%

Unnamed: 11
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
031)828-9761~4
59 
<NA>
54 
문의전화
 
1

Length

Max length14
Median length14
Mean length9.1754386
Min length4

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row<NA>
2nd row문의전화
3rd row031)828-9761~4
4th row031)828-9761~4
5th row031)828-9761~4

Common Values

ValueCountFrequency (%)
031)828-9761~4 59
51.8%
<NA> 54
47.4%
문의전화 1
 
0.9%

Length

2023-12-13T03:05:25.000164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:05:25.150360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031)828-9761~4 59
51.8%
na 54
47.4%
문의전화 1
 
0.9%

Unnamed: 12
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)2.6%
Missing0
Missing (%)0.0%
Memory size1.0 KiB
http://yjfmc.or.kr
59 
<NA>
54 
홈페이지
 
1

Length

Max length18
Median length18
Mean length11.245614
Min length4

Unique

Unique1 ?
Unique (%)0.9%

Sample

1st row<NA>
2nd row홈페이지
3rd rowhttp://yjfmc.or.kr
4th rowhttp://yjfmc.or.kr
5th rowhttp://yjfmc.or.kr

Common Values

ValueCountFrequency (%)
http://yjfmc.or.kr 59
51.8%
<NA> 54
47.4%
홈페이지 1
 
0.9%

Length

2023-12-13T03:05:25.322066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:05:25.466676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
http://yjfmc.or.kr 59
51.8%
na 54
47.4%
홈페이지 1
 
0.9%

Correlations

2023-12-13T03:05:25.564121image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
에코스프츠센터 운영 프로그램 안내Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12
에코스프츠센터 운영 프로그램 안내1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
Unnamed: 11.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
Unnamed: 21.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
Unnamed: 31.0001.0001.0001.0000.7220.9420.9420.8590.8680.9111.0001.0001.000
Unnamed: 41.0001.0001.0000.7221.0000.8510.8510.8960.9270.9060.9371.0001.000
Unnamed: 51.0001.0001.0000.9420.8511.0001.0000.6690.9020.8300.8921.0001.000
Unnamed: 61.0001.0001.0000.9420.8511.0001.0000.6690.9020.8300.8921.0001.000
Unnamed: 71.0001.0001.0000.8590.8960.6690.6691.0000.8630.8600.8611.0001.000
Unnamed: 81.0001.0001.0000.8680.9270.9020.9020.8631.0000.9140.9311.0001.000
Unnamed: 91.0001.0001.0000.9110.9060.8300.8300.8600.9141.0000.9321.0001.000
Unnamed: 101.0001.0001.0001.0000.9370.8920.8920.8610.9310.9321.0001.0001.000
Unnamed: 111.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.683
Unnamed: 121.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0000.6831.000
2023-12-13T03:05:25.740505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 4Unnamed: 6Unnamed: 3Unnamed: 12Unnamed: 9Unnamed: 10Unnamed: 7Unnamed: 5Unnamed: 11Unnamed: 8
Unnamed: 41.0000.4630.5310.9560.6780.6950.6320.4630.9560.771
Unnamed: 60.4631.0000.6230.7770.3710.4460.2151.0000.7770.505
Unnamed: 30.5310.6231.0000.9650.7010.8710.5630.6230.9650.651
Unnamed: 120.9560.7770.9651.0000.9000.8480.8810.7770.4780.919
Unnamed: 90.6780.3710.7010.9001.0000.6090.5190.3710.9000.674
Unnamed: 100.6950.4460.8710.8480.6091.0000.4710.4460.8480.648
Unnamed: 70.6320.2150.5630.8810.5190.4711.0000.2150.8810.538
Unnamed: 50.4631.0000.6230.7770.3710.4460.2151.0000.7770.505
Unnamed: 110.9560.7770.9650.4780.9000.8480.8810.7771.0000.919
Unnamed: 80.7710.5050.6510.9190.6740.6480.5380.5050.9191.000
2023-12-13T03:05:25.908192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12
Unnamed: 31.0000.5310.6230.6230.5630.6510.7010.8710.9650.965
Unnamed: 40.5311.0000.4630.4630.6320.7710.6780.6950.9560.956
Unnamed: 50.6230.4631.0001.0000.2150.5050.3710.4460.7770.777
Unnamed: 60.6230.4631.0001.0000.2150.5050.3710.4460.7770.777
Unnamed: 70.5630.6320.2150.2151.0000.5380.5190.4710.8810.881
Unnamed: 80.6510.7710.5050.5050.5381.0000.6740.6480.9190.919
Unnamed: 90.7010.6780.3710.3710.5190.6741.0000.6090.9000.900
Unnamed: 100.8710.6950.4460.4460.4710.6480.6091.0000.8480.848
Unnamed: 110.9650.9560.7770.7770.8810.9190.9000.8481.0000.478
Unnamed: 120.9650.9560.7770.7770.8810.9190.9000.8480.4781.000

Missing values

2023-12-13T03:05:20.558573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:05:21.022599image/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.
2023-12-13T03:05:21.186486image/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

에코스프츠센터 운영 프로그램 안내Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
1연 번구 분강습반명장 소대 상총수업시간운영시간강습요일가 격총등록인원강사프로필문의전화홈페이지
21수영프로그램직장인 해돋이반 초급수영장중고생,성인남여06:00-06:5006:00-06:50월,화,목,금60,00025손태희031)828-9761~4http://yjfmc.or.kr
32<NA>직장인 해돋이반 중급수영장중고생,성인남여06:00-06:5006:00-06:50월,화,목,금60,00025이종헌031)828-9761~4http://yjfmc.or.kr
43<NA>직장인 해돋이반 상급·연수수영장중고생,성인남여06:00-06:5006:00-06:50월,화,목,금60,00025이주원031)828-9761~4http://yjfmc.or.kr
54<NA>직장인 햇살반 초급수영장중고생,성인남여07:00-07:5007:00-07:50월,화,목,금60,00025이주원031)828-9761~4http://yjfmc.or.kr
65<NA>직장인 햇살반 중급수영장중고생,성인남여07:00-07:5007:00-07:50월,화,목,금60,00025손태희031)828-9761~4http://yjfmc.or.kr
76<NA>직장인 햇살반 상급·연수수영장중고생,성인남여07:00-07:5007:00-07:50월,화,목,금60,00025이종헌031)828-9761~4http://yjfmc.or.kr
87<NA>직장인 노을반 초급수영장중고생,성인남여19:00-19:5019:00-19:50월,화,목,금60,00025김지현031)828-9761~4http://yjfmc.or.kr
98<NA>직장인 노을반 중급수영장중고생,성인남여19:00-19:5019:00-19:50월,화,목,금60,00025박정준031)828-9761~4http://yjfmc.or.kr
에코스프츠센터 운영 프로그램 안내Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12
104<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
105<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
106<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
107<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
108<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
109<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
110<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
111<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
112<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>
113<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>

Duplicate rows

Most frequently occurring

에코스프츠센터 운영 프로그램 안내Unnamed: 1Unnamed: 2Unnamed: 3Unnamed: 4Unnamed: 5Unnamed: 6Unnamed: 7Unnamed: 8Unnamed: 9Unnamed: 10Unnamed: 11Unnamed: 12# duplicates
0<NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA><NA>54