Overview

Dataset statistics

Number of variables15
Number of observations41
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.0 KiB
Average record size in memory125.1 B

Variable types

Categorical9
Text2
DateTime2
Numeric2

Dataset

Description강남구도시관리공단에서 운영하는 강남구민체육관 및 대진체육관 프로그램 정보, 강좌내용, 운영요일, 수강료등 데이터 제공
Author강남구도시관리공단
URLhttps://www.data.go.kr/data/15044739/fileData.do

Alerts

교육방법구분 has constant value ""Constant
운영기관명 has constant value ""Constant
접수방법구분 has constant value ""Constant
강좌정원수 is highly overall correlated with 운영요일High correlation
수강료 is highly overall correlated with 시설명 and 2 other fieldsHigh correlation
시설명 is highly overall correlated with 수강료 and 3 other fieldsHigh correlation
강좌내용 is highly overall correlated with 시설명 and 3 other fieldsHigh correlation
교육대상구분 is highly overall correlated with 강좌내용High correlation
운영요일 is highly overall correlated with 강좌정원수High correlation
교육장도로명주소 is highly overall correlated with 수강료 and 3 other fieldsHigh correlation
운영기관전화번호 is highly overall correlated with 수강료 and 3 other fieldsHigh correlation
교육대상구분 is highly imbalanced (71.9%)Imbalance
강좌명 has unique valuesUnique
수강료 has 2 (4.9%) zerosZeros

Reproduction

Analysis started2024-03-14 19:30:46.274901
Analysis finished2024-03-14 19:30:50.154445
Duration3.88 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size456.0 B
구민체육관
35 
대진체육관

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
구민체육관 35
85.4%
대진체육관 6
 
14.6%

Length

2024-03-15T04:30:50.338451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:30:50.539717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구민체육관 35
85.4%
대진체육관 6
 
14.6%

강좌명
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size456.0 B
2024-03-15T04:30:51.443465image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length13
Mean length9.5609756
Min length4

Characters and Unicode

Total characters392
Distinct characters84
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)100.0%

Sample

1st row너랑나랑라인댄스
2nd row다이어트댄스
3rd row모던 5종목 특화반*
4th row야간목(댄스스포츠)*
5th row에어로빅1
ValueCountFrequency (%)
개인레슨(목 2
 
3.8%
탁구야간 2
 
3.8%
개인레슨(화 2
 
3.8%
탁구주간 2
 
3.8%
탁구야간2(화목 1
 
1.9%
탁구주간1(월수금 1
 
1.9%
탁구주간2(화목 1
 
1.9%
오전헬스pt(30분)10회 1
 
1.9%
오전헬스pt(50분 1
 
1.9%
오후헬스pt(30분 1
 
1.9%
Other values (39) 39
73.6%
2024-03-15T04:30:52.660741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 28
 
7.1%
) 28
 
7.1%
24
 
6.1%
13
 
3.3%
12
 
3.1%
10
 
2.6%
10
 
2.6%
10
 
2.6%
9
 
2.3%
8
 
2.0%
Other values (74) 240
61.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 277
70.7%
Open Punctuation 28
 
7.1%
Close Punctuation 28
 
7.1%
Decimal Number 28
 
7.1%
Space Separator 12
 
3.1%
Other Punctuation 10
 
2.6%
Uppercase Letter 9
 
2.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
24
 
8.7%
13
 
4.7%
10
 
3.6%
10
 
3.6%
10
 
3.6%
9
 
3.2%
8
 
2.9%
8
 
2.9%
8
 
2.9%
8
 
2.9%
Other values (60) 169
61.0%
Decimal Number
ValueCountFrequency (%)
1 6
21.4%
0 6
21.4%
2 5
17.9%
3 4
14.3%
5 4
14.3%
8 3
10.7%
Uppercase Letter
ValueCountFrequency (%)
P 4
44.4%
T 4
44.4%
A 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
* 8
80.0%
& 2
 
20.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 277
70.7%
Common 106
 
27.0%
Latin 9
 
2.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
24
 
8.7%
13
 
4.7%
10
 
3.6%
10
 
3.6%
10
 
3.6%
9
 
3.2%
8
 
2.9%
8
 
2.9%
8
 
2.9%
8
 
2.9%
Other values (60) 169
61.0%
Common
ValueCountFrequency (%)
( 28
26.4%
) 28
26.4%
12
11.3%
* 8
 
7.5%
1 6
 
5.7%
0 6
 
5.7%
2 5
 
4.7%
3 4
 
3.8%
5 4
 
3.8%
8 3
 
2.8%
Latin
ValueCountFrequency (%)
P 4
44.4%
T 4
44.4%
A 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 277
70.7%
ASCII 115
29.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 28
24.3%
) 28
24.3%
12
10.4%
* 8
 
7.0%
1 6
 
5.2%
0 6
 
5.2%
2 5
 
4.3%
P 4
 
3.5%
T 4
 
3.5%
3 4
 
3.5%
Other values (4) 10
 
8.7%
Hangul
ValueCountFrequency (%)
24
 
8.7%
13
 
4.7%
10
 
3.6%
10
 
3.6%
10
 
3.6%
9
 
3.2%
8
 
2.9%
8
 
2.9%
8
 
2.9%
8
 
2.9%
Other values (60) 169
61.0%
Distinct21
Distinct (%)51.2%
Missing0
Missing (%)0.0%
Memory size456.0 B
2024-03-15T04:30:53.273337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters123
Distinct characters46
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

Unique10 ?
Unique (%)24.4%

Sample

1st row미지정
2nd row서영주
3rd row정혜정
4th row신화정
5th row최현숙
ValueCountFrequency (%)
박해하 6
14.6%
이성곤 4
 
9.8%
김세현 4
 
9.8%
김정희 3
 
7.3%
권혁신 2
 
4.9%
신화정 2
 
4.9%
이광언 2
 
4.9%
미지정 2
 
4.9%
장윤선 2
 
4.9%
신은재 2
 
4.9%
Other values (11) 12
29.3%
2024-03-15T04:30:54.205780image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
12
 
9.8%
9
 
7.3%
6
 
4.9%
6
 
4.9%
6
 
4.9%
6
 
4.9%
6
 
4.9%
5
 
4.1%
5
 
4.1%
4
 
3.3%
Other values (36) 58
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 123
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
12
 
9.8%
9
 
7.3%
6
 
4.9%
6
 
4.9%
6
 
4.9%
6
 
4.9%
6
 
4.9%
5
 
4.1%
5
 
4.1%
4
 
3.3%
Other values (36) 58
47.2%

Most occurring scripts

ValueCountFrequency (%)
Hangul 123
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
12
 
9.8%
9
 
7.3%
6
 
4.9%
6
 
4.9%
6
 
4.9%
6
 
4.9%
6
 
4.9%
5
 
4.1%
5
 
4.1%
4
 
3.3%
Other values (36) 58
47.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 123
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
12
 
9.8%
9
 
7.3%
6
 
4.9%
6
 
4.9%
6
 
4.9%
6
 
4.9%
6
 
4.9%
5
 
4.1%
5
 
4.1%
4
 
3.3%
Other values (36) 58
47.2%
Distinct24
Distinct (%)58.5%
Missing0
Missing (%)0.0%
Memory size456.0 B
Minimum2024-03-15 06:00:00
Maximum2024-03-15 21:00:00
2024-03-15T04:30:54.664781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:30:55.476362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
Distinct27
Distinct (%)65.9%
Missing0
Missing (%)0.0%
Memory size456.0 B
Minimum2024-03-15 07:10:00
Maximum2024-03-15 22:20:00
2024-03-15T04:30:55.867584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:30:56.262748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)

강좌내용
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Memory size456.0 B
댄스
11 
헬스
탁구
요가·필라테스
배드민턴
Other values (2)

Length

Max length7
Median length2
Mean length3.1463415
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row댄스
2nd row댄스
3rd row댄스
4th row댄스
5th row에어로빅

Common Values

ValueCountFrequency (%)
댄스 11
26.8%
헬스 8
19.5%
탁구 7
17.1%
요가·필라테스 5
12.2%
배드민턴 5
12.2%
에어로빅 3
 
7.3%
발레·무용 2
 
4.9%

Length

2024-03-15T04:30:56.736154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:30:57.142380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
댄스 11
26.8%
헬스 8
19.5%
탁구 7
17.1%
요가·필라테스 5
12.2%
배드민턴 5
12.2%
에어로빅 3
 
7.3%
발레·무용 2
 
4.9%

교육대상구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct3
Distinct (%)7.3%
Missing0
Missing (%)0.0%
Memory size456.0 B
모든회원
38 
어린이
 
2
청소년
 
1

Length

Max length4
Median length4
Mean length3.9268293
Min length3

Unique

Unique1 ?
Unique (%)2.4%

Sample

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

Common Values

ValueCountFrequency (%)
모든회원 38
92.7%
어린이 2
 
4.9%
청소년 1
 
2.4%

Length

2024-03-15T04:30:57.589831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:30:57.966380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
모든회원 38
92.7%
어린이 2
 
4.9%
청소년 1
 
2.4%

교육방법구분
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size456.0 B
오프라인
41 

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 41
100.0%

Length

2024-03-15T04:30:58.315983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:30:58.621952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
오프라인 41
100.0%

운영요일
Categorical

HIGH CORRELATION 

Distinct9
Distinct (%)22.0%
Missing0
Missing (%)0.0%
Memory size456.0 B
월,화,수,목,금
12 
화,목
월,수,금
월,수
Other values (4)

Length

Max length11
Median length9
Mean length5.097561
Min length1

Unique

Unique2 ?
Unique (%)4.9%

Sample

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

Common Values

ValueCountFrequency (%)
월,화,수,목,금 12
29.3%
화,목 8
19.5%
월,수,금 7
17.1%
월,수 4
 
9.8%
3
 
7.3%
3
 
7.3%
월,화,수,목,금,토 2
 
4.9%
1
 
2.4%
1
 
2.4%

Length

2024-03-15T04:30:58.962090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:30:59.304537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
월,화,수,목,금 12
29.3%
화,목 8
19.5%
월,수,금 7
17.1%
월,수 4
 
9.8%
3
 
7.3%
3
 
7.3%
월,화,수,목,금,토 2
 
4.9%
1
 
2.4%
1
 
2.4%

강좌정원수
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)29.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean40.780488
Minimum8
Maximum330
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size497.0 B
2024-03-15T04:30:59.669449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8
5-th percentile8
Q116
median30
Q335
95-th percentile40
Maximum330
Range322
Interquartile range (IQR)19

Descriptive statistics

Standard deviation67.152257
Coefficient of variation (CV)1.6466762
Kurtosis16.766367
Mean40.780488
Median Absolute Deviation (MAD)5
Skewness4.1686937
Sum1672
Variance4509.4256
MonotonicityNot monotonic
2024-03-15T04:31:00.033068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
35 12
29.3%
30 7
17.1%
8 4
 
9.8%
10 4
 
9.8%
40 3
 
7.3%
20 2
 
4.9%
25 2
 
4.9%
330 2
 
4.9%
16 2
 
4.9%
32 1
 
2.4%
Other values (2) 2
 
4.9%
ValueCountFrequency (%)
8 4
 
9.8%
10 4
 
9.8%
12 1
 
2.4%
16 2
 
4.9%
20 2
 
4.9%
24 1
 
2.4%
25 2
 
4.9%
30 7
17.1%
32 1
 
2.4%
35 12
29.3%
ValueCountFrequency (%)
330 2
 
4.9%
40 3
 
7.3%
35 12
29.3%
32 1
 
2.4%
30 7
17.1%
25 2
 
4.9%
24 1
 
2.4%
20 2
 
4.9%
16 2
 
4.9%
12 1
 
2.4%

수강료
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct18
Distinct (%)43.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean67219.512
Minimum0
Maximum400000
Zeros2
Zeros (%)4.9%
Negative0
Negative (%)0.0%
Memory size497.0 B
2024-03-15T04:31:00.419996image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile12000
Q125000
median36000
Q350000
95-th percentile240000
Maximum400000
Range400000
Interquartile range (IQR)25000

Descriptive statistics

Standard deviation91614.276
Coefficient of variation (CV)1.3629119
Kurtosis7.6613386
Mean67219.512
Median Absolute Deviation (MAD)12000
Skewness2.8168652
Sum2756000
Variance8.3931756 × 109
MonotonicityNot monotonic
2024-03-15T04:31:00.632544image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
50000 6
14.6%
30000 5
12.2%
36000 4
9.8%
25000 3
 
7.3%
24000 3
 
7.3%
120000 3
 
7.3%
40000 2
 
4.9%
240000 2
 
4.9%
400000 2
 
4.9%
45000 2
 
4.9%
Other values (8) 9
22.0%
ValueCountFrequency (%)
0 2
 
4.9%
12000 1
 
2.4%
15000 1
 
2.4%
22000 1
 
2.4%
24000 3
7.3%
25000 3
7.3%
30000 5
12.2%
33000 1
 
2.4%
35000 1
 
2.4%
36000 4
9.8%
ValueCountFrequency (%)
400000 2
 
4.9%
240000 2
 
4.9%
120000 3
7.3%
50000 6
14.6%
46000 1
 
2.4%
45000 2
 
4.9%
42000 1
 
2.4%
40000 2
 
4.9%
36000 4
9.8%
35000 1
 
2.4%

교육장도로명주소
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size456.0 B
강남구 개포로28길 47
35 
강남구 개포로109길 62

Length

Max length14
Median length13
Mean length13.146341
Min length13

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row강남구 개포로28길 47
2nd row강남구 개포로28길 47
3rd row강남구 개포로28길 47
4th row강남구 개포로28길 47
5th row강남구 개포로28길 47

Common Values

ValueCountFrequency (%)
강남구 개포로28길 47 35
85.4%
강남구 개포로109길 62 6
 
14.6%

Length

2024-03-15T04:31:00.872771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:31:01.107604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강남구 41
33.3%
개포로28길 35
28.5%
47 35
28.5%
개포로109길 6
 
4.9%
62 6
 
4.9%

운영기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size456.0 B
강남구도시관리공단
41 

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 41
100.0%

Length

2024-03-15T04:31:01.351151image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:31:01.626084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강남구도시관리공단 41
100.0%

운영기관전화번호
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size456.0 B
02-2176-0871
35 
02-2176-0880

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row02-2176-0871
2nd row02-2176-0871
3rd row02-2176-0871
4th row02-2176-0871
5th row02-2176-0871

Common Values

ValueCountFrequency (%)
02-2176-0871 35
85.4%
02-2176-0880 6
 
14.6%

Length

2024-03-15T04:31:01.949208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:31:02.274334image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
02-2176-0871 35
85.4%
02-2176-0880 6
 
14.6%

접수방법구분
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size456.0 B
인터넷+방문접수
41 

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 41
100.0%

Length

2024-03-15T04:31:02.616313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:31:02.970899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
인터넷+방문접수 41
100.0%

Interactions

2024-03-15T04:30:48.336390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:30:47.741552image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:30:48.668589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:30:48.027986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T04:31:03.239912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
시설명강좌명강사명교육시작시각교육종료시각강좌내용교육대상구분운영요일강좌정원수수강료교육장도로명주소운영기관전화번호
시설명1.0001.0000.9350.0000.6850.8210.2010.0000.0000.5280.9880.988
강좌명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
강사명0.9351.0001.0000.9370.9240.9980.9180.7520.0000.0000.9350.935
교육시작시각0.0001.0000.9371.0000.9940.9070.6440.0000.0000.0000.0000.000
교육종료시각0.6851.0000.9240.9941.0000.9471.0000.7470.0000.0000.6850.685
강좌내용0.8211.0000.9980.9070.9471.0000.7780.5960.2580.6360.8210.821
교육대상구분0.2011.0000.9180.6441.0000.7781.0000.7550.0000.3620.2010.201
운영요일0.0001.0000.7520.0000.7470.5960.7551.0001.0000.0000.0000.000
강좌정원수0.0001.0000.0000.0000.0000.2580.0001.0001.0000.2130.0000.000
수강료0.5281.0000.0000.0000.0000.6360.3620.0000.2131.0000.5280.528
교육장도로명주소0.9881.0000.9350.0000.6850.8210.2010.0000.0000.5281.0000.988
운영기관전화번호0.9881.0000.9350.0000.6850.8210.2010.0000.0000.5280.9881.000
2024-03-15T04:31:03.716154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
교육대상구분시설명강좌내용운영기관전화번호운영요일교육장도로명주소
교육대상구분1.0000.3240.6800.3240.4170.324
시설명0.3241.0000.8310.9000.0000.900
강좌내용0.6800.8311.0000.8310.3500.831
운영기관전화번호0.3240.9000.8311.0000.0000.900
운영요일0.4170.0000.3500.0001.0000.000
교육장도로명주소0.3240.9000.8310.9000.0001.000
2024-03-15T04:31:04.114675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
강좌정원수수강료시설명강좌내용교육대상구분운영요일교육장도로명주소운영기관전화번호
강좌정원수1.000-0.2490.0000.2510.0000.9060.0000.000
수강료-0.2491.0000.6130.4610.2820.0000.6130.613
시설명0.0000.6131.0000.8310.3240.0000.9000.900
강좌내용0.2510.4610.8311.0000.6800.3500.8310.831
교육대상구분0.0000.2820.3240.6801.0000.4170.3240.324
운영요일0.9060.0000.0000.3500.4171.0000.0000.000
교육장도로명주소0.0000.6130.9000.8310.3240.0001.0000.900
운영기관전화번호0.0000.6130.9000.8310.3240.0000.9001.000

Missing values

2024-03-15T04:30:49.118984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T04:30:49.836094image/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

시설명강좌명강사명교육시작시각교육종료시각강좌내용교육대상구분교육방법구분운영요일강좌정원수수강료교육장도로명주소운영기관명운영기관전화번호접수방법구분
0구민체육관너랑나랑라인댄스미지정15:00:0015:50:00댄스모든회원오프라인월,수,금3536000강남구 개포로28길 47강남구도시관리공단02-2176-0871인터넷+방문접수
1구민체육관다이어트댄스서영주19:00:0019:50:00댄스모든회원오프라인월,화,수,목,금3550000강남구 개포로28길 47강남구도시관리공단02-2176-0871인터넷+방문접수
2구민체육관모던 5종목 특화반*정혜정12:30:0013:50:00댄스모든회원오프라인월,수3050000강남구 개포로28길 47강남구도시관리공단02-2176-0871인터넷+방문접수
3구민체육관야간목(댄스스포츠)*신화정21:00:0022:20:00댄스모든회원오프라인3025000강남구 개포로28길 47강남구도시관리공단02-2176-0871인터넷+방문접수
4구민체육관에어로빅1최현숙06:30:0007:20:00에어로빅모든회원오프라인월,화,수,목,금3550000강남구 개포로28길 47강남구도시관리공단02-2176-0871인터넷+방문접수
5구민체육관에어로빅2김정희09:10:0010:00:00에어로빅모든회원오프라인월,화,수,목,금3550000강남구 개포로28길 47강남구도시관리공단02-2176-0871인터넷+방문접수
6구민체육관에어로빅3김정희10:10:0011:00:00에어로빅모든회원오프라인월,화,수,목,금3550000강남구 개포로28길 47강남구도시관리공단02-2176-0871인터넷+방문접수
7구민체육관월수금(댄스스포츠)차정민21:00:0022:20:00댄스모든회원오프라인월,수,금3036000강남구 개포로28길 47강남구도시관리공단02-2176-0871인터넷+방문접수
8구민체육관주간화목(라틴)송영란15:10:0016:00:00댄스모든회원오프라인화,목3024000강남구 개포로28길 47강남구도시관리공단02-2176-0871인터넷+방문접수
9구민체육관주간화목(모던)송영란13:10:0015:00:00댄스모든회원오프라인화,목3042000강남구 개포로28길 47강남구도시관리공단02-2176-0871인터넷+방문접수
시설명강좌명강사명교육시작시각교육종료시각강좌내용교육대상구분교육방법구분운영요일강좌정원수수강료교육장도로명주소운영기관명운영기관전화번호접수방법구분
31구민체육관헬스오전김세현06:00:0013:30:00헬스모든회원오프라인월,화,수,목,금,토33045000강남구 개포로28길 47강남구도시관리공단02-2176-0871인터넷+방문접수
32구민체육관헬스오후이성곤14:00:0022:00:00헬스모든회원오프라인월,화,수,목,금,토33045000강남구 개포로28길 47강남구도시관리공단02-2176-0871인터넷+방문접수
33구민체육관오전스트레칭(헬스)김세현08:30:0009:00:00헬스모든회원오프라인월,화,수,목,금400강남구 개포로28길 47강남구도시관리공단02-2176-0871인터넷+방문접수
34구민체육관오후스트레칭(헬스)이성곤18:00:0018:30:00헬스모든회원오프라인월,화,수,목,금400강남구 개포로28길 47강남구도시관리공단02-2176-0871인터넷+방문접수
35대진체육관댄스스포츠레슨(주3회)조성구18:30:0020:00:00댄스모든회원오프라인월,수,금3046000강남구 개포로109길 62강남구도시관리공단02-2176-0880인터넷+방문접수
36대진체육관대진청소년 개인레슨1(8회)이광언16:00:0018:00:00배드민턴청소년오프라인월,수12120000강남구 개포로109길 62강남구도시관리공단02-2176-0880인터넷+방문접수
37대진체육관배드민턴레슨(8회)김건직10:00:0012:00:00배드민턴모든회원오프라인화,목16120000강남구 개포로109길 62강남구도시관리공단02-2176-0880인터넷+방문접수
38대진체육관배드민턴 저녁 개인레슨(8회)이광언18:00:0020:00:00배드민턴모든회원오프라인화,목2415000강남구 개포로109길 62강남구도시관리공단02-2176-0880인터넷+방문접수
39대진체육관배드민턴레슨2(10회)김수연10:00:0012:00:00배드민턴모든회원오프라인월,수,금16120000강남구 개포로109길 62강남구도시관리공단02-2176-0880인터넷+방문접수
40대진체육관배드민턴자유이용A(주5회)미지정10:00:0012:00:00배드민턴모든회원오프라인월,화,수,목,금4035000강남구 개포로109길 62강남구도시관리공단02-2176-0880인터넷+방문접수