Overview

Dataset statistics

Number of variables14
Number of observations240
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.8 KiB
Average record size in memory114.5 B

Variable types

Text2
Categorical10
Numeric2

Dataset

Description강남구도시관리공단에서 운영하는 강남스포츠문화센터의 프로그램 정보, 강좌내용, 운영요일, 수강료등 데이터 제공
Author강남구도시관리공단
URLhttps://www.data.go.kr/data/15044738/fileData.do

Alerts

교육방법구분 has constant value ""Constant
교육장도로명주소 has constant value ""Constant
운영기관명 has constant value ""Constant
운영기관전화번호 has constant value ""Constant
접수방법구분 has constant value ""Constant
강좌정원수 is highly overall correlated with 수강료 and 1 other fieldsHigh correlation
수강료 is highly overall correlated with 강좌정원수 and 1 other fieldsHigh correlation
교육시작시각 is highly overall correlated with 교육종료시각High correlation
교육종료시각 is highly overall correlated with 수강료 and 1 other fieldsHigh correlation
강좌내용 is highly overall correlated with 강좌정원수High correlation
교육대상구분 is highly imbalanced (68.3%)Imbalance
강좌명 has unique valuesUnique

Reproduction

Analysis started2024-03-14 10:16:55.323701
Analysis finished2024-03-14 10:16:58.242253
Duration2.92 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

강좌명
Text

UNIQUE 

Distinct240
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-03-14T19:16:59.130762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length9.775
Min length4

Characters and Unicode

Total characters2346
Distinct characters151
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique240 ?
Unique (%)100.0%

Sample

1st row새벽단전(국선도)
2nd row오전단전(국선도)
3rd row다이어트요가1
4th row생활요가(화,목)
5th row생활요가(화,목,토)
ValueCountFrequency (%)
기구필라테스 26
 
8.5%
월금 11
 
3.6%
화목 9
 
3.0%
수요 6
 
2.0%
intensive 4
 
1.3%
english 4
 
1.3%
아침반3 3
 
1.0%
저녁반2 3
 
1.0%
오전반2 3
 
1.0%
오전반1 3
 
1.0%
Other values (225) 233
76.4%
2024-03-14T19:17:00.810180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 114
 
4.9%
( 114
 
4.9%
수 110
 
4.7%
영 85
 
3.6%
급 70
 
3.0%
0 68
 
2.9%
65
 
2.8%
골 58
 
2.5%
* 58
 
2.5%
프 58
 
2.5%
Other values (141) 1546
65.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1572
67.0%
Decimal Number 189
 
8.1%
Uppercase Letter 123
 
5.2%
Close Punctuation 114
 
4.9%
Open Punctuation 114
 
4.9%
Space Separator 65
 
2.8%
Other Punctuation 63
 
2.7%
Lowercase Letter 56
 
2.4%
Connector Punctuation 47
 
2.0%
Letter Number 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 110
 
7.0%
영 85
 
5.4%
급 70
 
4.5%
골 58
 
3.7%
프 58
 
3.7%
스 55
 
3.5%
저 47
 
3.0%
녁 47
 
3.0%
오 44
 
2.8%
라 38
 
2.4%
Other values (100) 960
61.1%
Uppercase Letter
ValueCountFrequency (%)
B 21
17.1%
A 20
16.3%
E 17
13.8%
C 15
12.2%
D 15
12.2%
F 13
10.6%
G 7
 
5.7%
I 6
 
4.9%
H 5
 
4.1%
P 2
 
1.6%
Other values (2) 2
 
1.6%
Decimal Number
ValueCountFrequency (%)
0 68
36.0%
1 28
14.8%
2 22
 
11.6%
6 17
 
9.0%
3 14
 
7.4%
4 14
 
7.4%
8 12
 
6.3%
5 9
 
4.8%
7 4
 
2.1%
9 1
 
0.5%
Lowercase Letter
ValueCountFrequency (%)
n 12
21.4%
i 8
14.3%
s 8
14.3%
e 8
14.3%
h 4
 
7.1%
g 4
 
7.1%
v 4
 
7.1%
t 4
 
7.1%
l 4
 
7.1%
Other Punctuation
ValueCountFrequency (%)
* 58
92.1%
, 3
 
4.8%
& 2
 
3.2%
Letter Number
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%
Close Punctuation
ValueCountFrequency (%)
) 114
100.0%
Open Punctuation
ValueCountFrequency (%)
( 114
100.0%
Space Separator
ValueCountFrequency (%)
65
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 47
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1572
67.0%
Common 593
 
25.3%
Latin 181
 
7.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 110
 
7.0%
영 85
 
5.4%
급 70
 
4.5%
골 58
 
3.7%
프 58
 
3.7%
스 55
 
3.5%
저 47
 
3.0%
녁 47
 
3.0%
오 44
 
2.8%
라 38
 
2.4%
Other values (100) 960
61.1%
Latin
ValueCountFrequency (%)
B 21
11.6%
A 20
11.0%
E 17
 
9.4%
C 15
 
8.3%
D 15
 
8.3%
F 13
 
7.2%
n 12
 
6.6%
i 8
 
4.4%
s 8
 
4.4%
e 8
 
4.4%
Other values (13) 44
24.3%
Common
ValueCountFrequency (%)
) 114
19.2%
( 114
19.2%
0 68
11.5%
65
11.0%
* 58
9.8%
_ 47
7.9%
1 28
 
4.7%
2 22
 
3.7%
6 17
 
2.9%
3 14
 
2.4%
Other values (8) 46
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1572
67.0%
ASCII 772
32.9%
Number Forms 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 114
14.8%
( 114
14.8%
0 68
 
8.8%
65
 
8.4%
* 58
 
7.5%
_ 47
 
6.1%
1 28
 
3.6%
2 22
 
2.8%
B 21
 
2.7%
A 20
 
2.6%
Other values (29) 215
27.8%
Hangul
ValueCountFrequency (%)
수 110
 
7.0%
영 85
 
5.4%
급 70
 
4.5%
골 58
 
3.7%
프 58
 
3.7%
스 55
 
3.5%
저 47
 
3.0%
녁 47
 
3.0%
오 44
 
2.8%
라 38
 
2.4%
Other values (100) 960
61.1%
Number Forms
ValueCountFrequency (%)
Ⅰ 1
50.0%
Ⅱ 1
50.0%

강사명
Text

Distinct58
Distinct (%)24.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
2024-03-14T19:17:01.703668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length2.9625
Min length2

Characters and Unicode

Total characters711
Distinct characters70
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique16 ?
Unique (%)6.7%

Sample

1st row최덕지
2nd row민경태
3rd row이진영
4th row신은재
5th row신은재
ValueCountFrequency (%)
서재문 26
 
10.8%
권지우 26
 
10.8%
최준영 10
 
4.2%
이상록 9
 
3.8%
최호 9
 
3.8%
문준배 9
 
3.8%
고아라 9
 
3.8%
김인우 8
 
3.3%
박성욱 7
 
2.9%
정호선 7
 
2.9%
Other values (48) 120
50.0%
2024-03-14T19:17:02.803166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 42
 
5.9%
서 37
 
5.2%
문 35
 
4.9%
지 35
 
4.9%
우 35
 
4.9%
준 33
 
4.6%
권 32
 
4.5%
재 28
 
3.9%
이 27
 
3.8%
최 26
 
3.7%
Other values (60) 381
53.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 711
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 42
 
5.9%
서 37
 
5.2%
문 35
 
4.9%
지 35
 
4.9%
우 35
 
4.9%
준 33
 
4.6%
권 32
 
4.5%
재 28
 
3.9%
이 27
 
3.8%
최 26
 
3.7%
Other values (60) 381
53.6%

Most occurring scripts

ValueCountFrequency (%)
Hangul 711
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 42
 
5.9%
서 37
 
5.2%
문 35
 
4.9%
지 35
 
4.9%
우 35
 
4.9%
준 33
 
4.6%
권 32
 
4.5%
재 28
 
3.9%
이 27
 
3.8%
최 26
 
3.7%
Other values (60) 381
53.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 711
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 42
 
5.9%
서 37
 
5.2%
문 35
 
4.9%
지 35
 
4.9%
우 35
 
4.9%
준 33
 
4.6%
권 32
 
4.5%
재 28
 
3.9%
이 27
 
3.8%
최 26
 
3.7%
Other values (60) 381
53.6%

교육시작시각
Categorical

HIGH CORRELATION 

Distinct31
Distinct (%)12.9%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
10:00:00
25 
09:00:00
20 
07:00:00
18 
06:00:00
16 
11:00:00
15 
Other values (26)
146 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique5 ?
Unique (%)2.1%

Sample

1st row06:00:00
2nd row09:00:00
3rd row19:40:00
4th row10:00:00
5th row10:00:00

Common Values

ValueCountFrequency (%)
10:00:00 25
 
10.4%
09:00:00 20
 
8.3%
07:00:00 18
 
7.5%
06:00:00 16
 
6.7%
11:00:00 15
 
6.2%
19:00:00 11
 
4.6%
12:00:00 11
 
4.6%
18:30:00 10
 
4.2%
17:00:00 9
 
3.8%
19:30:00 9
 
3.8%
Other values (21) 96
40.0%

Length

2024-03-14T19:17:03.025012image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
10:00:00 25
 
10.4%
09:00:00 20
 
8.3%
07:00:00 18
 
7.5%
06:00:00 16
 
6.7%
11:00:00 15
 
6.2%
19:00:00 11
 
4.6%
12:00:00 11
 
4.6%
18:30:00 10
 
4.2%
17:00:00 9
 
3.8%
19:30:00 9
 
3.8%
Other values (21) 96
40.0%

교육종료시각
Categorical

HIGH CORRELATION 

Distinct36
Distinct (%)15.0%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
10:50:00
22 
09:50:00
20 
07:50:00
19 
11:50:00
15 
06:50:00
15 
Other values (31)
149 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique10 ?
Unique (%)4.2%

Sample

1st row06:50:00
2nd row09:50:00
3rd row20:30:00
4th row10:50:00
5th row10:50:00

Common Values

ValueCountFrequency (%)
10:50:00 22
 
9.2%
09:50:00 20
 
8.3%
07:50:00 19
 
7.9%
11:50:00 15
 
6.2%
06:50:00 15
 
6.2%
20:20:00 11
 
4.6%
12:50:00 10
 
4.2%
19:20:00 9
 
3.8%
19:50:00 9
 
3.8%
17:50:00 9
 
3.8%
Other values (26) 101
42.1%

Length

2024-03-14T19:17:03.251119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
10:50:00 22
 
9.2%
09:50:00 20
 
8.3%
07:50:00 19
 
7.9%
06:50:00 15
 
6.2%
11:50:00 15
 
6.2%
20:20:00 11
 
4.6%
12:50:00 10
 
4.2%
19:50:00 9
 
3.8%
15:50:00 9
 
3.8%
19:20:00 9
 
3.8%
Other values (26) 101
42.1%

강좌내용
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)5.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
수영
100 
골프
58 
기구필라테스
26 
요가·필라테스
13 
어학
13 
Other values (8)
30 

Length

Max length7
Median length2
Mean length2.9041667
Min length2

Unique

Unique2 ?
Unique (%)0.8%

Sample

1st row국선도
2nd row국선도
3rd row요가·필라테스
4th row요가·필라테스
5th row요가·필라테스

Common Values

ValueCountFrequency (%)
수영 100
41.7%
골프 58
24.2%
기구필라테스 26
 
10.8%
요가·필라테스 13
 
5.4%
어학 13
 
5.4%
댄스스포츠 9
 
3.8%
댄스 7
 
2.9%
노래 4
 
1.7%
국선도 3
 
1.2%
발레·무용 3
 
1.2%
Other values (3) 4
 
1.7%

Length

2024-03-14T19:17:03.523363image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
수영 100
41.7%
골프 58
24.2%
기구필라테스 26
 
10.8%
요가·필라테스 13
 
5.4%
어학 13
 
5.4%
댄스스포츠 9
 
3.8%
댄스 7
 
2.9%
노래 4
 
1.7%
국선도 3
 
1.2%
발레·무용 3
 
1.2%
Other values (3) 4
 
1.7%

교육대상구분
Categorical

IMBALANCE 

Distinct5
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
모든회원
210 
청소년
 
16
실버
 
10
여성
 
2
장애인
 
2

Length

Max length4
Median length4
Mean length3.825
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row실버
2nd row실버
3rd row모든회원
4th row모든회원
5th row모든회원

Common Values

ValueCountFrequency (%)
모든회원 210
87.5%
청소년 16
 
6.7%
실버 10
 
4.2%
여성 2
 
0.8%
장애인 2
 
0.8%

Length

2024-03-14T19:17:03.749900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:17:03.942451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
모든회원 210
87.5%
청소년 16
 
6.7%
실버 10
 
4.2%
여성 2
 
0.8%
장애인 2
 
0.8%

교육방법구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
오프라인
240 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
오프라인 240
100.0%

Length

2024-03-14T19:17:04.128250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:17:04.283874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
오프라인 240
100.0%

운영요일
Categorical

Distinct15
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
화목
81 
월수금
70 
월-금
24 
토
15 
월금
15 
Other values (10)
35 

Length

Max length4
Median length3
Mean length2.275
Min length1

Unique

Unique2 ?
Unique (%)0.8%

Sample

1st row월-토
2nd row월-토
3rd row월수금
4th row화목
5th row화목토

Common Values

ValueCountFrequency (%)
화목 81
33.8%
월수금 70
29.2%
월-금 24
 
10.0%
토 15
 
6.2%
월금 15
 
6.2%
수 8
 
3.3%
월수 7
 
2.9%
금 5
 
2.1%
목 4
 
1.7%
월 3
 
1.2%
Other values (5) 8
 
3.3%

Length

2024-03-14T19:17:04.524541image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
화목 81
33.8%
월수금 70
29.2%
월-금 24
 
10.0%
토 15
 
6.2%
월금 15
 
6.2%
수 8
 
3.3%
월수 7
 
2.9%
금 5
 
2.1%
목 4
 
1.7%
월 3
 
1.2%
Other values (5) 8
 
3.3%

강좌정원수
Real number (ℝ)

HIGH CORRELATION 

Distinct22
Distinct (%)9.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.966667
Minimum1
Maximum60
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-03-14T19:17:04.751424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q16
median8
Q316
95-th percentile36
Maximum60
Range59
Interquartile range (IQR)10

Descriptive statistics

Standard deviation12.739707
Coefficient of variation (CV)0.91215087
Kurtosis3.3221222
Mean13.966667
Median Absolute Deviation (MAD)3
Skewness1.8529981
Sum3352
Variance162.30014
MonotonicityNot monotonic
2024-03-14T19:17:04.957144image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
8 62
25.8%
6 34
14.2%
1 20
 
8.3%
10 17
 
7.1%
15 14
 
5.8%
35 12
 
5.0%
12 11
 
4.6%
20 11
 
4.6%
5 11
 
4.6%
36 9
 
3.8%
Other values (12) 39
16.2%
ValueCountFrequency (%)
1 20
 
8.3%
5 11
 
4.6%
6 34
14.2%
7 2
 
0.8%
8 62
25.8%
9 4
 
1.7%
10 17
 
7.1%
12 11
 
4.6%
13 2
 
0.8%
14 1
 
0.4%
ValueCountFrequency (%)
60 7
2.9%
40 4
 
1.7%
36 9
3.8%
35 12
5.0%
32 2
 
0.8%
30 2
 
0.8%
25 1
 
0.4%
24 7
2.9%
20 11
4.6%
18 1
 
0.4%

수강료
Real number (ℝ)

HIGH CORRELATION 

Distinct19
Distinct (%)7.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69645.833
Minimum24000
Maximum370000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.2 KiB
2024-03-14T19:17:05.158651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum24000
5-th percentile30000
Q140000
median50000
Q380000
95-th percentile150000
Maximum370000
Range346000
Interquartile range (IQR)40000

Descriptive statistics

Standard deviation43542.26
Coefficient of variation (CV)0.62519548
Kurtosis12.13674
Mean69645.833
Median Absolute Deviation (MAD)14000
Skewness2.6485359
Sum16715000
Variance1.8959284 × 109
MonotonicityNot monotonic
2024-03-14T19:17:05.352610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=19)
ValueCountFrequency (%)
50000 42
17.5%
36000 40
16.7%
60000 26
10.8%
120000 26
10.8%
78000 22
9.2%
40000 16
 
6.7%
80000 16
 
6.7%
110000 11
 
4.6%
150000 10
 
4.2%
30000 7
 
2.9%
Other values (9) 24
10.0%
ValueCountFrequency (%)
24000 6
 
2.5%
30000 7
 
2.9%
36000 40
16.7%
37000 6
 
2.5%
40000 16
 
6.7%
42000 3
 
1.2%
45000 2
 
0.8%
50000 42
17.5%
55000 1
 
0.4%
60000 26
10.8%
ValueCountFrequency (%)
370000 1
 
0.4%
300000 1
 
0.4%
220000 2
 
0.8%
150000 10
 
4.2%
120000 26
10.8%
110000 11
4.6%
96000 2
 
0.8%
80000 16
6.7%
78000 22
9.2%
60000 26
10.8%

교육장도로명주소
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
강남구 밤고개로1길 52
240 

Length

Max length13
Median length13
Mean length13
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강남구 밤고개로1길 52
2nd row강남구 밤고개로1길 52
3rd row강남구 밤고개로1길 52
4th row강남구 밤고개로1길 52
5th row강남구 밤고개로1길 52

Common Values

ValueCountFrequency (%)
강남구 밤고개로1길 52 240
100.0%

Length

2024-03-14T19:17:05.564513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:17:05.805504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강남구 240
33.3%
밤고개로1길 240
33.3%
52 240
33.3%

운영기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
강남구도시관리공단
240 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강남구도시관리공단 240
100.0%

Length

2024-03-14T19:17:05.968793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:17:06.121676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강남구도시관리공단 240
100.0%

운영기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
02-2176-0801
240 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02-2176-0801
2nd row02-2176-0801
3rd row02-2176-0801
4th row02-2176-0801
5th row02-2176-0801

Common Values

ValueCountFrequency (%)
02-2176-0801 240
100.0%

Length

2024-03-14T19:17:06.291496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:17:06.443455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02-2176-0801 240
100.0%

접수방법구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.0 KiB
인터넷+방문접수
240 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row인터넷+방문접수
2nd row인터넷+방문접수
3rd row인터넷+방문접수
4th row인터넷+방문접수
5th row인터넷+방문접수

Common Values

ValueCountFrequency (%)
인터넷+방문접수 240
100.0%

Length

2024-03-14T19:17:06.602249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:17:06.758556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷+방문접수 240
100.0%

Interactions

2024-03-14T19:16:56.769896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:16:56.249884image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:16:57.023876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:16:56.514163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T19:17:06.931711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
강사명교육시작시각교육종료시각강좌내용교육대상구분운영요일강좌정원수수강료
강사명1.0000.8900.9340.9980.9430.9620.9720.890
교육시작시각0.8901.0000.9940.5180.6480.0000.6090.147
교육종료시각0.9340.9941.0000.6630.7140.0000.6120.923
강좌내용0.9980.5180.6631.0000.5720.8100.8680.670
교육대상구분0.9430.6480.7140.5721.0000.6430.6290.354
운영요일0.9620.0000.0000.8100.6431.0000.7380.550
강좌정원수0.9720.6090.6120.8680.6290.7381.0000.575
수강료0.8900.1470.9230.6700.3540.5500.5751.000
2024-03-14T19:17:07.148246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
교육종료시각교육대상구분교육시작시각강좌내용운영요일
교육종료시각1.0000.3980.8500.2540.000
교육대상구분0.3981.0000.3490.3490.323
교육시작시각0.8500.3491.0000.1800.000
강좌내용0.2540.3490.1801.0000.455
운영요일0.0000.3230.0000.4551.000
2024-03-14T19:17:07.322597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
강좌정원수수강료교육시작시각교육종료시각강좌내용교육대상구분운영요일
강좌정원수1.000-0.7340.2720.2640.6330.4490.423
수강료-0.7341.0000.0640.6510.3900.2320.276
교육시작시각0.2720.0641.0000.8500.1800.3490.000
교육종료시각0.2640.6510.8501.0000.2540.3980.000
강좌내용0.6330.3900.1800.2541.0000.3490.455
교육대상구분0.4490.2320.3490.3980.3491.0000.323
운영요일0.4230.2760.0000.0000.4550.3231.000

Missing values

2024-03-14T19:16:57.403889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T19:16:58.005409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Nullity matrix is a data-dense display which lets you quickly visually pick out patterns in data completion.

Sample

강좌명강사명교육시작시각교육종료시각강좌내용교육대상구분교육방법구분운영요일강좌정원수수강료교육장도로명주소운영기관명운영기관전화번호접수방법구분
0새벽단전(국선도)최덕지06:00:0006:50:00국선도실버오프라인월-토3060000강남구 밤고개로1길 52강남구도시관리공단02-2176-0801인터넷+방문접수
1오전단전(국선도)민경태09:00:0009:50:00국선도실버오프라인월-토3060000강남구 밤고개로1길 52강남구도시관리공단02-2176-0801인터넷+방문접수
2다이어트요가1이진영19:40:0020:30:00요가·필라테스모든회원오프라인월수금3537000강남구 밤고개로1길 52강남구도시관리공단02-2176-0801인터넷+방문접수
3생활요가(화,목)신은재10:00:0010:50:00요가·필라테스모든회원오프라인화목3524000강남구 밤고개로1길 52강남구도시관리공단02-2176-0801인터넷+방문접수
4생활요가(화,목,토)신은재10:00:0010:50:00요가·필라테스모든회원오프라인화목토3536000강남구 밤고개로1길 52강남구도시관리공단02-2176-0801인터넷+방문접수
5소도구필라테스(월수금)이진영20:40:0021:30:00요가·필라테스모든회원오프라인월수금3537000강남구 밤고개로1길 52강남구도시관리공단02-2176-0801인터넷+방문접수
6요가&필라테스이효실17:00:0017:50:00요가·필라테스모든회원오프라인월수금3536000강남구 밤고개로1길 52강남구도시관리공단02-2176-0801인터넷+방문접수
7임산부요가이효실15:30:0016:50:00요가·필라테스여성오프라인월1540000강남구 밤고개로1길 52강남구도시관리공단02-2176-0801인터넷+방문접수
8파워요가A이희진07:00:0007:50:00요가·필라테스모든회원오프라인월수금3536000강남구 밤고개로1길 52강남구도시관리공단02-2176-0801인터넷+방문접수
9파워요가B이희진07:00:0007:50:00요가·필라테스모든회원오프라인화목3524000강남구 밤고개로1길 52강남구도시관리공단02-2176-0801인터넷+방문접수
강좌명강사명교육시작시각교육종료시각강좌내용교육대상구분교육방법구분운영요일강좌정원수수강료교육장도로명주소운영기관명운영기관전화번호접수방법구분
230단전요가(국선도)*이상호20:00:0020:50:00국선도모든회원오프라인월수금2036000강남구 밤고개로1길 52강남구도시관리공단02-2176-0801인터넷+방문접수
231K-POP&재즈댄스최경희19:00:0019:50:00댄스모든회원오프라인월수금2055000강남구 밤고개로1길 52강남구도시관리공단02-2176-0801인터넷+방문접수
232다이어트 댄스서영주09:00:0009:50:00댄스모든회원오프라인월-금2050000강남구 밤고개로1길 52강남구도시관리공단02-2176-0801인터넷+방문접수
233라인댄스(입문)*서혜덕12:00:0012:50:00댄스모든회원오프라인화목2040000강남구 밤고개로1길 52강남구도시관리공단02-2176-0801인터넷+방문접수
234라인댄스*서혜덕10:20:0011:40:00댄스모든회원오프라인화목2040000강남구 밤고개로1길 52강남구도시관리공단02-2176-0801인터넷+방문접수
235어울림 장구무용*유화경13:00:0014:50:00발레·무용장애인오프라인금2040000강남구 밤고개로1길 52강남구도시관리공단02-2176-0801인터넷+방문접수
236경기민요가락장고1김진옥14:00:0015:50:00노래모든회원오프라인수1540000강남구 밤고개로1길 52강남구도시관리공단02-2176-0801인터넷+방문접수
237경기민요가락장고2김화자11:00:0013:00:00노래모든회원오프라인목1540000강남구 밤고개로1길 52강남구도시관리공단02-2176-0801인터넷+방문접수
238금요성악Ⅰ*황미애12:00:0013:50:00노래여성오프라인금1550000강남구 밤고개로1길 52강남구도시관리공단02-2176-0801인터넷+방문접수
239금요성악Ⅱ*황미애14:00:0015:50:00노래모든회원오프라인금1550000강남구 밤고개로1길 52강남구도시관리공단02-2176-0801인터넷+방문접수