Overview

Dataset statistics

Number of variables8
Number of observations175
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory11.2 KiB
Average record size in memory65.8 B

Variable types

Numeric1
Categorical5
Text2

Dataset

Description이문체육문화센터에서 운영하는 체육, 문화 프로그램별 수강시기, 수강료, 대상 등 정보 제공
Author동대문구시설관리공단
URLhttps://www.data.go.kr/data/15044058/fileData.do

Alerts

연번 is highly overall correlated with 분야High correlation
분야 is highly overall correlated with 연번 and 4 other fieldsHigh correlation
요일 is highly overall correlated with 분야 and 1 other fieldsHigh correlation
대상 is highly overall correlated with 분야 and 3 other fieldsHigh correlation
수강료 is highly overall correlated with 분야 and 1 other fieldsHigh correlation
정원 is highly overall correlated with 분야 and 1 other fieldsHigh correlation

Reproduction

Analysis started2023-12-12 07:29:23.752810
Analysis finished2023-12-12 07:29:24.749788
Duration1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION 

Distinct157
Distinct (%)89.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean82.6
Minimum1
Maximum157
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-12T16:29:24.812326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.7
Q144.5
median88
Q3119.5
95-th percentile148.3
Maximum157
Range156
Interquartile range (IQR)75

Descriptive statistics

Standard deviation44.427521
Coefficient of variation (CV)0.53786345
Kurtosis-1.1555397
Mean82.6
Median Absolute Deviation (MAD)36
Skewness-0.18685546
Sum14455
Variance1973.8046
MonotonicityIncreasing
2023-12-12T16:29:24.944781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
120 2
 
1.1%
111 2
 
1.1%
103 2
 
1.1%
104 2
 
1.1%
105 2
 
1.1%
106 2
 
1.1%
107 2
 
1.1%
108 2
 
1.1%
109 2
 
1.1%
110 2
 
1.1%
Other values (147) 155
88.6%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
157 1
0.6%
156 1
0.6%
155 1
0.6%
154 1
0.6%
153 1
0.6%
152 1
0.6%
151 1
0.6%
150 1
0.6%
149 1
0.6%
148 1
0.6%

분야
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
문화
120 
블럭교실
25 
피아노
17 
체육
 
8
어린이도서관
 
5

Length

Max length6
Median length2
Mean length2.4971429
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
문화 120
68.6%
블럭교실 25
 
14.3%
피아노 17
 
9.7%
체육 8
 
4.6%
어린이도서관 5
 
2.9%

Length

2023-12-12T16:29:25.080247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T16:29:25.510532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문화 120
68.6%
블럭교실 25
 
14.3%
피아노 17
 
9.7%
체육 8
 
4.6%
어린이도서관 5
 
2.9%

프로그램명
Text

Distinct173
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T16:29:25.744158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length16
Mean length10.657143
Min length3

Characters and Unicode

Total characters1865
Distinct characters259
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique171 ?
Unique (%)97.7%

Sample

1st row다이어트에어로빅A
2nd row다이어트에어로빅B
3rd row기적의맨몸운동A
4th row기적의맨몸운동B
5th row토요그룹근력트레이닝A
ValueCountFrequency (%)
클래식 3
 
1.4%
어린이 3
 
1.4%
니하오 3
 
1.4%
노부영 3
 
1.4%
연극놀이 2
 
0.9%
키크는 2
 
0.9%
줌바 2
 
0.9%
신나는 2
 
0.9%
작품반 2
 
0.9%
두뇌개발 2
 
0.9%
Other values (194) 198
89.2%
2023-12-12T16:29:26.112401image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 82
 
4.4%
( 82
 
4.4%
1 56
 
3.0%
51
 
2.7%
시 46
 
2.5%
초 44
 
2.4%
- 42
 
2.3%
이 36
 
1.9%
급 35
 
1.9%
스 34
 
1.8%
Other values (249) 1357
72.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1280
68.6%
Decimal Number 171
 
9.2%
Close Punctuation 91
 
4.9%
Open Punctuation 91
 
4.9%
Uppercase Letter 82
 
4.4%
Space Separator 51
 
2.7%
Dash Punctuation 42
 
2.3%
Math Symbol 25
 
1.3%
Other Punctuation 17
 
0.9%
Lowercase Letter 15
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
시 46
 
3.6%
초 44
 
3.4%
이 36
 
2.8%
급 35
 
2.7%
스 34
 
2.7%
세 32
 
2.5%
토 28
 
2.2%
어 28
 
2.2%
노 23
 
1.8%
아 23
 
1.8%
Other values (210) 951
74.3%
Uppercase Letter
ValueCountFrequency (%)
A 28
34.1%
B 24
29.3%
C 10
 
12.2%
E 4
 
4.9%
D 4
 
4.9%
S 4
 
4.9%
F 2
 
2.4%
M 1
 
1.2%
T 1
 
1.2%
N 1
 
1.2%
Other values (3) 3
 
3.7%
Decimal Number
ValueCountFrequency (%)
1 56
32.7%
6 28
16.4%
7 20
 
11.7%
5 19
 
11.1%
2 15
 
8.8%
3 11
 
6.4%
8 7
 
4.1%
4 7
 
4.1%
0 5
 
2.9%
9 3
 
1.8%
Lowercase Letter
ValueCountFrequency (%)
o 3
20.0%
u 3
20.0%
c 3
20.0%
h 3
20.0%
t 3
20.0%
Other Punctuation
ValueCountFrequency (%)
, 8
47.1%
& 7
41.2%
. 2
 
11.8%
Close Punctuation
ValueCountFrequency (%)
) 82
90.1%
] 9
 
9.9%
Open Punctuation
ValueCountFrequency (%)
( 82
90.1%
[ 9
 
9.9%
Math Symbol
ValueCountFrequency (%)
~ 23
92.0%
+ 2
 
8.0%
Space Separator
ValueCountFrequency (%)
51
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1280
68.6%
Common 488
 
26.2%
Latin 97
 
5.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
시 46
 
3.6%
초 44
 
3.4%
이 36
 
2.8%
급 35
 
2.7%
스 34
 
2.7%
세 32
 
2.5%
토 28
 
2.2%
어 28
 
2.2%
노 23
 
1.8%
아 23
 
1.8%
Other values (210) 951
74.3%
Common
ValueCountFrequency (%)
) 82
16.8%
( 82
16.8%
1 56
11.5%
51
10.5%
- 42
8.6%
6 28
 
5.7%
~ 23
 
4.7%
7 20
 
4.1%
5 19
 
3.9%
2 15
 
3.1%
Other values (11) 70
14.3%
Latin
ValueCountFrequency (%)
A 28
28.9%
B 24
24.7%
C 10
 
10.3%
E 4
 
4.1%
D 4
 
4.1%
S 4
 
4.1%
o 3
 
3.1%
u 3
 
3.1%
c 3
 
3.1%
h 3
 
3.1%
Other values (8) 11
 
11.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1280
68.6%
ASCII 585
31.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 82
14.0%
( 82
14.0%
1 56
 
9.6%
51
 
8.7%
- 42
 
7.2%
A 28
 
4.8%
6 28
 
4.8%
B 24
 
4.1%
~ 23
 
3.9%
7 20
 
3.4%
Other values (29) 149
25.5%
Hangul
ValueCountFrequency (%)
시 46
 
3.6%
초 44
 
3.4%
이 36
 
2.8%
급 35
 
2.7%
스 34
 
2.7%
세 32
 
2.5%
토 28
 
2.2%
어 28
 
2.2%
노 23
 
1.8%
아 23
 
1.8%
Other values (210) 951
74.3%

시간
Text

Distinct62
Distinct (%)35.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-12T16:29:26.345477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length11
Mean length11.057143
Min length11

Characters and Unicode

Total characters1935
Distinct characters20
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

Unique32 ?
Unique (%)18.3%

Sample

1st row09:00~09:50
2nd row10:00~10:50
3rd row11:00~11:50
4th row09:20~10:10
5th row11:00~11:50
ValueCountFrequency (%)
17:00~17:50 16
 
9.0%
16:00~16:50 11
 
6.2%
10:00~10:50 10
 
5.6%
15:00~15:50 9
 
5.1%
10:30~11:50 8
 
4.5%
11:00~11:50 7
 
4.0%
16:00~16:45 7
 
4.0%
19:00~19:50 6
 
3.4%
15:00~15:45 6
 
3.4%
14:00~14:50 5
 
2.8%
Other values (54) 92
52.0%
2023-12-12T16:29:26.723345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 543
28.1%
1 365
18.9%
: 350
18.1%
~ 175
 
9.0%
5 170
 
8.8%
2 86
 
4.4%
4 52
 
2.7%
6 51
 
2.6%
3 48
 
2.5%
7 43
 
2.2%
Other values (10) 52
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1401
72.4%
Other Punctuation 350
 
18.1%
Math Symbol 175
 
9.0%
Other Letter 5
 
0.3%
Space Separator 2
 
0.1%
Open Punctuation 1
 
0.1%
Close Punctuation 1
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 543
38.8%
1 365
26.1%
5 170
 
12.1%
2 86
 
6.1%
4 52
 
3.7%
6 51
 
3.6%
3 48
 
3.4%
7 43
 
3.1%
9 24
 
1.7%
8 19
 
1.4%
Other Letter
ValueCountFrequency (%)
매 1
20.0%
시 1
20.0%
간 1
20.0%
강 1
20.0%
습 1
20.0%
Other Punctuation
ValueCountFrequency (%)
: 350
100.0%
Math Symbol
ValueCountFrequency (%)
~ 175
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1930
99.7%
Hangul 5
 
0.3%

Most frequent character per script

Common
ValueCountFrequency (%)
0 543
28.1%
1 365
18.9%
: 350
18.1%
~ 175
 
9.1%
5 170
 
8.8%
2 86
 
4.5%
4 52
 
2.7%
6 51
 
2.6%
3 48
 
2.5%
7 43
 
2.2%
Other values (5) 47
 
2.4%
Hangul
ValueCountFrequency (%)
매 1
20.0%
시 1
20.0%
간 1
20.0%
강 1
20.0%
습 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1930
99.7%
Hangul 5
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 543
28.1%
1 365
18.9%
: 350
18.1%
~ 175
 
9.1%
5 170
 
8.8%
2 86
 
4.5%
4 52
 
2.7%
6 51
 
2.6%
3 48
 
2.5%
7 43
 
2.2%
Other values (5) 47
 
2.4%
Hangul
ValueCountFrequency (%)
매 1
20.0%
시 1
20.0%
간 1
20.0%
강 1
20.0%
습 1
20.0%

요일
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
토
29 
목
22 
월
18 
수
18 
화,목
16 
Other values (16)
72 

Length

Max length10
Median length1
Mean length1.9142857
Min length1

Unique

Unique8 ?
Unique (%)4.6%

Sample

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

Common Values

ValueCountFrequency (%)
토 29
16.6%
목 22
12.6%
월 18
10.3%
수 18
10.3%
화,목 16
9.1%
금 15
8.6%
화 14
8.0%
월,수,금 11
 
6.3%
월,수 7
 
4.0%
화목 6
 
3.4%
Other values (11) 19
10.9%

Length

2023-12-12T16:29:26.882058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
토 29
15.8%
목 23
12.6%
수 19
10.4%
월 18
9.8%
화,목 16
8.7%
금 15
8.2%
화 15
8.2%
월,수,금 11
 
6.0%
월,수 7
 
3.8%
화목 6
 
3.3%
Other values (13) 24
13.1%

대상
Categorical

HIGH CORRELATION 

Distinct42
Distinct (%)24.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
성인
59 
초등
15 
6~7세
11 
초3이상 누구나
9 
5~6세
 
7
Other values (37)
74 

Length

Max length10
Median length2
Mean length3.5771429
Min length2

Unique

Unique18 ?
Unique (%)10.3%

Sample

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

Common Values

ValueCountFrequency (%)
성인 59
33.7%
초등 15
 
8.6%
6~7세 11
 
6.3%
초3이상 누구나 9
 
5.1%
5~6세 7
 
4.0%
7세~초등 5
 
2.9%
7세 5
 
2.9%
6세 5
 
2.9%
8세 4
 
2.3%
초등이상누구나 4
 
2.3%
Other values (32) 51
29.1%

Length

2023-12-12T16:29:27.008723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
성인 60
31.7%
초등 17
 
9.0%
누구나 14
 
7.4%
6~7세 11
 
5.8%
초3이상 9
 
4.8%
5~6세 7
 
3.7%
7세~초등 5
 
2.6%
7세 5
 
2.6%
6세 5
 
2.6%
초등이상누구나 4
 
2.1%
Other values (32) 52
27.5%

수강료
Categorical

HIGH CORRELATION 

Distinct37
Distinct (%)21.1%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
45000
31 
40000
20 
25000
15 
50000
11 
30000
9 
Other values (32)
89 

Length

Max length12
Median length5
Mean length5.8114286
Min length2

Unique

Unique10 ?
Unique (%)5.7%

Sample

1st row45000
2nd row45000
3rd row46000
4th row35000
5th row28000

Common Values

ValueCountFrequency (%)
45000 31
17.7%
40000 20
 
11.4%
25000 15
 
8.6%
50000 11
 
6.3%
30000 9
 
5.1%
50000(8주) 9
 
5.1%
32000 8
 
4.6%
35000 7
 
4.0%
28000 6
 
3.4%
20000 6
 
3.4%
Other values (27) 53
30.3%

Length

2023-12-12T16:29:27.162918image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
45000 31
17.7%
40000 20
 
11.4%
25000 15
 
8.6%
50000 11
 
6.3%
30000 9
 
5.1%
50000(8주 9
 
5.1%
32000 8
 
4.6%
35000 7
 
4.0%
28000 6
 
3.4%
20000 6
 
3.4%
Other values (27) 53
30.3%

정원
Categorical

HIGH CORRELATION 

Distinct21
Distinct (%)12.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
20
29 
15
27 
8
22 
4
22 
10
20 
Other values (16)
55 

Length

Max length6
Median length2
Mean length1.72
Min length1

Unique

Unique6 ?
Unique (%)3.4%

Sample

1st row30
2nd row30
3rd row15
4th row15
5th row20

Common Values

ValueCountFrequency (%)
20 29
16.6%
15 27
15.4%
8 22
12.6%
4 22
12.6%
10 20
11.4%
6 10
 
5.7%
25 8
 
4.6%
14 5
 
2.9%
17 4
 
2.3%
7 4
 
2.3%
Other values (11) 24
13.7%

Length

2023-12-12T16:29:27.321788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
20 30
16.8%
15 27
15.1%
8 23
12.8%
4 22
12.3%
10 20
11.2%
6 10
 
5.6%
25 8
 
4.5%
14 5
 
2.8%
30 4
 
2.2%
16 4
 
2.2%
Other values (11) 26
14.5%

Interactions

2023-12-12T16:29:24.404768image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:29:27.436054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번분야시간요일대상수강료정원
연번1.0000.9390.8140.7610.8750.8470.768
분야0.9391.0000.9400.8990.9520.9200.888
시간0.8140.9401.0000.8640.9510.8680.695
요일0.7610.8990.8641.0000.9670.8960.919
대상0.8750.9520.9510.9671.0000.9560.957
수강료0.8470.9200.8680.8960.9561.0000.922
정원0.7680.8880.6950.9190.9570.9221.000
2023-12-12T16:29:27.573388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
수강료요일정원분야대상
수강료1.0000.4300.4840.6550.508
요일0.4301.0000.4320.6760.554
정원0.4840.4321.0000.6550.515
분야0.6550.6760.6551.0000.709
대상0.5080.5540.5150.7091.000
2023-12-12T16:29:27.684801image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번분야요일대상수강료정원
연번1.0000.6560.3950.4840.4630.398
분야0.6561.0000.6760.7090.6550.655
요일0.3950.6761.0000.5540.4300.432
대상0.4840.7090.5541.0000.5080.515
수강료0.4630.6550.4300.5081.0000.484
정원0.3980.6550.4320.5150.4841.000

Missing values

2023-12-12T16:29:24.572428image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:29:24.702666image/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

연번분야프로그램명시간요일대상수강료정원
01문화다이어트에어로빅A09:00~09:50월~금성인4500030
12문화다이어트에어로빅B10:00~10:50월~금성인4500030
23문화기적의맨몸운동A11:00~11:50월,수,금성인4600015
34문화기적의맨몸운동B09:20~10:10화,목성인3500015
45문화토요그룹근력트레이닝A11:00~11:50토성인2800020
56문화토요그룹근력트레이닝B12:00~12:50토성인2800020
67문화처음 배우는 라틴댄스10:30~11:50화,목성인4000015
78문화건강사교댄스12:00~12:50화,목성인3200025
89문화사교댄스 완전정복(초보)19:30~20:50화,목성인4000020
910문화난생처음 건강댄스반16:30~17:50월성인2500020
연번분야프로그램명시간요일대상수강료정원
165148체육테니스06:00~22:00월~금성인1500004
166149체육송종국FC13:00~15:50토유아,어린이40000각 반 20
167150체육인라인스케이트15:00~15:50화,목유아,어린이3500020
168151체육농구교실16:00~17:20화어린이4400030
169152체육농구교실16:00~17:20화어린이4400030
170153어린이도서관도서관에서 만나는 테마과학10:00~11:00셋째주 토요일초등 저학년무료15
171154어린이도서관STEAM 초등과학토론10:00~12:00넷째주 토요일초등 고학년무료15
172155어린이도서관토요희망학교09:00~13:00둘째주 토요일초등학생무료15
173156어린이도서관신나는 동화속으로17:00 ~17:50매월 넷째주 금요일5~7세무료10
174157어린이도서관도서관 견학10:00~12:00매주 화, 수, 목영유아무료50