Overview

Dataset statistics

Number of variables12
Number of observations267
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory26.2 KiB
Average record size in memory100.5 B

Variable types

Numeric4
Text3
DateTime4
Categorical1

Dataset

Description남동구 도서관이벤트현황(행사명, 접수시작일, 접수종료일, 대상, 장소, 행사시작일, 행사종료일, 교육요일, 수강료, 정원, 예비정원)에 대한 자료입니다.
Author인천광역시 남동구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15040798&srcSe=7661IVAWM27C61E190

Alerts

정원 is highly overall correlated with 예비정원High correlation
예비정원 is highly overall correlated with 정원High correlation
연번 has unique valuesUnique
수강료 has 204 (76.4%) zerosZeros
예비정원 has 5 (1.9%) zerosZeros

Reproduction

Analysis started2024-04-22 00:35:28.712108
Analysis finished2024-04-22 00:35:30.810833
Duration2.1 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct267
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean134
Minimum1
Maximum267
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-04-22T09:35:30.885748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14.3
Q167.5
median134
Q3200.5
95-th percentile253.7
Maximum267
Range266
Interquartile range (IQR)133

Descriptive statistics

Standard deviation77.220464
Coefficient of variation (CV)0.57627212
Kurtosis-1.2
Mean134
Median Absolute Deviation (MAD)67
Skewness0
Sum35778
Variance5963
MonotonicityStrictly increasing
2024-04-22T09:35:31.043871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
185 1
 
0.4%
171 1
 
0.4%
172 1
 
0.4%
173 1
 
0.4%
174 1
 
0.4%
175 1
 
0.4%
176 1
 
0.4%
177 1
 
0.4%
178 1
 
0.4%
Other values (257) 257
96.3%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
267 1
0.4%
266 1
0.4%
265 1
0.4%
264 1
0.4%
263 1
0.4%
262 1
0.4%
261 1
0.4%
260 1
0.4%
259 1
0.4%
258 1
0.4%

행사명
Text

Distinct258
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-04-22T09:35:31.312250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length40
Mean length22.089888
Min length6

Characters and Unicode

Total characters5898
Distinct characters472
Distinct categories11 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique249 ?
Unique (%)93.3%

Sample

1st row오일파스텔로 그리는 책표지
2nd row빛과 모래로 들려주는 동화책, 샌드북
3rd row5월 행사 창작동화 "마법의 설탕 두조각"
4th row근대소설로 공간읽기
5th row그림책과 함께 신나는 창의놀이! 책놀이!
ValueCountFrequency (%)
정규 27
 
2.1%
만들기 26
 
2.0%
그림책 24
 
1.8%
소래도서관 22
 
1.7%
방학특강 20
 
1.5%
토마도 18
 
1.4%
모집 18
 
1.4%
작가와의 17
 
1.3%
17
 
1.3%
만남 16
 
1.2%
Other values (632) 1096
84.2%
2024-04-22T09:35:31.728245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1042
 
17.7%
[ 138
 
2.3%
] 138
 
2.3%
서 103
 
1.7%
기 90
 
1.5%
도 87
 
1.5%
이 77
 
1.3%
학 74
 
1.3%
는 71
 
1.2%
그 69
 
1.2%
Other values (462) 4009
68.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3923
66.5%
Space Separator 1042
 
17.7%
Open Punctuation 187
 
3.2%
Close Punctuation 187
 
3.2%
Other Punctuation 170
 
2.9%
Decimal Number 161
 
2.7%
Lowercase Letter 116
 
2.0%
Uppercase Letter 40
 
0.7%
Math Symbol 37
 
0.6%
Dash Punctuation 22
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 103
 
2.6%
기 90
 
2.3%
도 87
 
2.2%
이 77
 
2.0%
학 74
 
1.9%
는 71
 
1.8%
그 69
 
1.8%
책 68
 
1.7%
만 63
 
1.6%
로 63
 
1.6%
Other values (404) 3158
80.5%
Lowercase Letter
ValueCountFrequency (%)
i 13
11.2%
n 12
10.3%
e 11
9.5%
r 10
 
8.6%
t 10
 
8.6%
l 7
 
6.0%
a 7
 
6.0%
s 7
 
6.0%
o 7
 
6.0%
h 6
 
5.2%
Other values (7) 26
22.4%
Uppercase Letter
ValueCountFrequency (%)
S 7
17.5%
W 6
15.0%
B 5
12.5%
D 5
12.5%
M 3
7.5%
E 3
7.5%
T 3
7.5%
F 2
 
5.0%
L 2
 
5.0%
A 1
 
2.5%
Other values (3) 3
7.5%
Decimal Number
ValueCountFrequency (%)
2 48
29.8%
1 29
18.0%
0 23
14.3%
3 21
13.0%
4 15
 
9.3%
6 6
 
3.7%
7 6
 
3.7%
9 5
 
3.1%
8 5
 
3.1%
5 3
 
1.9%
Other Punctuation
ValueCountFrequency (%)
" 56
32.9%
! 42
24.7%
, 27
15.9%
' 19
 
11.2%
: 16
 
9.4%
? 5
 
2.9%
& 5
 
2.9%
Math Symbol
ValueCountFrequency (%)
~ 14
37.8%
< 11
29.7%
> 11
29.7%
+ 1
 
2.7%
Open Punctuation
ValueCountFrequency (%)
[ 138
73.8%
( 49
 
26.2%
Close Punctuation
ValueCountFrequency (%)
] 138
73.8%
) 49
 
26.2%
Space Separator
ValueCountFrequency (%)
1042
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3922
66.5%
Common 1819
30.8%
Latin 156
 
2.6%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 103
 
2.6%
기 90
 
2.3%
도 87
 
2.2%
이 77
 
2.0%
학 74
 
1.9%
는 71
 
1.8%
그 69
 
1.8%
책 68
 
1.7%
만 63
 
1.6%
로 63
 
1.6%
Other values (403) 3157
80.5%
Latin
ValueCountFrequency (%)
i 13
 
8.3%
n 12
 
7.7%
e 11
 
7.1%
r 10
 
6.4%
t 10
 
6.4%
l 7
 
4.5%
a 7
 
4.5%
s 7
 
4.5%
S 7
 
4.5%
o 7
 
4.5%
Other values (20) 65
41.7%
Common
ValueCountFrequency (%)
1042
57.3%
[ 138
 
7.6%
] 138
 
7.6%
" 56
 
3.1%
) 49
 
2.7%
( 49
 
2.7%
2 48
 
2.6%
! 42
 
2.3%
1 29
 
1.6%
, 27
 
1.5%
Other values (18) 201
 
11.1%
Han
ValueCountFrequency (%)
愛 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3922
66.5%
ASCII 1975
33.5%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1042
52.8%
[ 138
 
7.0%
] 138
 
7.0%
" 56
 
2.8%
) 49
 
2.5%
( 49
 
2.5%
2 48
 
2.4%
! 42
 
2.1%
1 29
 
1.5%
, 27
 
1.4%
Other values (48) 357
 
18.1%
Hangul
ValueCountFrequency (%)
서 103
 
2.6%
기 90
 
2.3%
도 87
 
2.2%
이 77
 
2.0%
학 74
 
1.9%
는 71
 
1.8%
그 69
 
1.8%
책 68
 
1.7%
만 63
 
1.6%
로 63
 
1.6%
Other values (403) 3157
80.5%
CJK
ValueCountFrequency (%)
愛 1
100.0%

접수시작일
Date

Distinct161
Distinct (%)60.3%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2021-04-06 00:00:00
Maximum2024-02-01 00:00:00
2024-04-22T09:35:32.146075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T09:35:32.282099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

접수종료일
Date

Distinct197
Distinct (%)73.8%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2021-04-20 00:00:00
Maximum2024-02-13 00:00:00
2024-04-22T09:35:32.414762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T09:35:32.542386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

대상
Text

Distinct152
Distinct (%)56.9%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-04-22T09:35:32.774765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length22
Mean length8.9588015
Min length2

Characters and Unicode

Total characters2392
Distinct characters96
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique110 ?
Unique (%)41.2%

Sample

1st row성인
2nd row일반
3rd row일반
4th row청소년+성인
5th row6~7세 아이와 보호자
ValueCountFrequency (%)
초등 41
 
9.7%
성인 35
 
8.3%
초등학교 17
 
4.0%
일반 12
 
2.8%
이상 12
 
2.8%
유아+아동 9
 
2.1%
청소년+성인 8
 
1.9%
가족 7
 
1.7%
1~3학년 7
 
1.7%
초등학생 7
 
1.7%
Other values (169) 269
63.4%
2024-04-22T09:35:33.136233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 203
 
8.5%
~ 178
 
7.4%
165
 
6.9%
년 150
 
6.3%
2 130
 
5.4%
0 128
 
5.4%
학 118
 
4.9%
초 94
 
3.9%
등 92
 
3.8%
세 69
 
2.9%
Other values (86) 1065
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1131
47.3%
Decimal Number 740
30.9%
Math Symbol 225
 
9.4%
Space Separator 165
 
6.9%
Open Punctuation 57
 
2.4%
Close Punctuation 57
 
2.4%
Other Punctuation 10
 
0.4%
Dash Punctuation 7
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
년 150
13.3%
학 118
 
10.4%
초 94
 
8.3%
등 92
 
8.1%
세 69
 
6.1%
인 63
 
5.6%
생 60
 
5.3%
성 54
 
4.8%
아 44
 
3.9%
자 28
 
2.5%
Other values (67) 359
31.7%
Decimal Number
ValueCountFrequency (%)
1 203
27.4%
2 130
17.6%
0 128
17.3%
6 56
 
7.6%
4 54
 
7.3%
3 46
 
6.2%
7 41
 
5.5%
5 35
 
4.7%
8 31
 
4.2%
9 16
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 6
60.0%
· 3
30.0%
. 1
 
10.0%
Math Symbol
ValueCountFrequency (%)
~ 178
79.1%
+ 47
 
20.9%
Space Separator
ValueCountFrequency (%)
165
100.0%
Open Punctuation
ValueCountFrequency (%)
( 57
100.0%
Close Punctuation
ValueCountFrequency (%)
) 57
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1261
52.7%
Hangul 1131
47.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
년 150
13.3%
학 118
 
10.4%
초 94
 
8.3%
등 92
 
8.1%
세 69
 
6.1%
인 63
 
5.6%
생 60
 
5.3%
성 54
 
4.8%
아 44
 
3.9%
자 28
 
2.5%
Other values (67) 359
31.7%
Common
ValueCountFrequency (%)
1 203
16.1%
~ 178
14.1%
165
13.1%
2 130
10.3%
0 128
10.2%
( 57
 
4.5%
) 57
 
4.5%
6 56
 
4.4%
4 54
 
4.3%
+ 47
 
3.7%
Other values (9) 186
14.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1258
52.6%
Hangul 1131
47.3%
None 3
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 203
16.1%
~ 178
14.1%
165
13.1%
2 130
10.3%
0 128
10.2%
( 57
 
4.5%
) 57
 
4.5%
6 56
 
4.5%
4 54
 
4.3%
+ 47
 
3.7%
Other values (8) 183
14.5%
Hangul
ValueCountFrequency (%)
년 150
13.3%
학 118
 
10.4%
초 94
 
8.3%
등 92
 
8.1%
세 69
 
6.1%
인 63
 
5.6%
생 60
 
5.3%
성 54
 
4.8%
아 44
 
3.9%
자 28
 
2.5%
Other values (67) 359
31.7%
None
ValueCountFrequency (%)
· 3
100.0%

장소
Text

Distinct80
Distinct (%)30.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2024-04-22T09:35:33.321377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length20
Mean length13.250936
Min length3

Characters and Unicode

Total characters3538
Distinct characters102
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)18.4%

Sample

1st row비대면 줌(ZOOM) 어플리케이션
2nd row유튜브 실시간 참여
3rd row(비대면) 유튜브 라이브 공연
4th row실시간 온라인 수업
5th row남동논현도서관 청소년실
ValueCountFrequency (%)
세미나실 85
12.1%
3층 84
11.9%
프로그램실 66
 
9.4%
1층 62
 
8.8%
소래도서관 59
 
8.4%
남동논현도서관 57
 
8.1%
서창도서관 43
 
6.1%
온라인 20
 
2.8%
간석3동어린이도서관 17
 
2.4%
유아실 17
 
2.4%
Other values (54) 194
27.6%
2024-04-22T09:35:33.613204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
441
 
12.5%
서 238
 
6.7%
실 224
 
6.3%
도 195
 
5.5%
관 195
 
5.5%
층 157
 
4.4%
3 107
 
3.0%
동 95
 
2.7%
세 89
 
2.5%
미 89
 
2.5%
Other values (92) 1708
48.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2691
76.1%
Space Separator 441
 
12.5%
Decimal Number 190
 
5.4%
Uppercase Letter 111
 
3.1%
Open Punctuation 39
 
1.1%
Close Punctuation 39
 
1.1%
Lowercase Letter 25
 
0.7%
Dash Punctuation 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 238
 
8.8%
실 224
 
8.3%
도 195
 
7.2%
관 195
 
7.2%
층 157
 
5.8%
동 95
 
3.5%
세 89
 
3.3%
미 89
 
3.3%
나 88
 
3.3%
램 78
 
2.9%
Other values (77) 1243
46.2%
Decimal Number
ValueCountFrequency (%)
3 107
56.3%
1 65
34.2%
2 17
 
8.9%
4 1
 
0.5%
Uppercase Letter
ValueCountFrequency (%)
O 54
48.6%
Z 30
27.0%
M 27
24.3%
Lowercase Letter
ValueCountFrequency (%)
o 14
56.0%
m 7
28.0%
z 4
 
16.0%
Space Separator
ValueCountFrequency (%)
441
100.0%
Open Punctuation
ValueCountFrequency (%)
( 39
100.0%
Close Punctuation
ValueCountFrequency (%)
) 39
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2691
76.1%
Common 711
 
20.1%
Latin 136
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 238
 
8.8%
실 224
 
8.3%
도 195
 
7.2%
관 195
 
7.2%
층 157
 
5.8%
동 95
 
3.5%
세 89
 
3.3%
미 89
 
3.3%
나 88
 
3.3%
램 78
 
2.9%
Other values (77) 1243
46.2%
Common
ValueCountFrequency (%)
441
62.0%
3 107
 
15.0%
1 65
 
9.1%
( 39
 
5.5%
) 39
 
5.5%
2 17
 
2.4%
- 1
 
0.1%
4 1
 
0.1%
+ 1
 
0.1%
Latin
ValueCountFrequency (%)
O 54
39.7%
Z 30
22.1%
M 27
19.9%
o 14
 
10.3%
m 7
 
5.1%
z 4
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2691
76.1%
ASCII 847
 
23.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
441
52.1%
3 107
 
12.6%
1 65
 
7.7%
O 54
 
6.4%
( 39
 
4.6%
) 39
 
4.6%
Z 30
 
3.5%
M 27
 
3.2%
2 17
 
2.0%
o 14
 
1.7%
Other values (5) 14
 
1.7%
Hangul
ValueCountFrequency (%)
서 238
 
8.8%
실 224
 
8.3%
도 195
 
7.2%
관 195
 
7.2%
층 157
 
5.8%
동 95
 
3.5%
세 89
 
3.3%
미 89
 
3.3%
나 88
 
3.3%
램 78
 
2.9%
Other values (77) 1243
46.2%

행사시작일
Date

Distinct186
Distinct (%)69.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2021-04-24 00:00:00
Maximum2024-02-15 00:00:00
2024-04-22T09:35:33.747837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T09:35:33.875657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

행사종료일
Date

Distinct194
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
Minimum2021-04-24 00:00:00
Maximum2024-03-23 00:00:00
2024-04-22T09:35:34.004107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T09:35:34.137311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

교육요일
Categorical

Distinct19
Distinct (%)7.1%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
토요일
91 
수요일
43 
목요일
34 
화요일
26 
금요일
21 
Other values (14)
52 

Length

Max length27
Median length3
Mean length3.9138577
Min length3

Unique

Unique4 ?
Unique (%)1.5%

Sample

1st row토요일
2nd row일요일
3rd row토요일
4th row수요일
5th row수요일

Common Values

ValueCountFrequency (%)
토요일 91
34.1%
수요일 43
16.1%
목요일 34
 
12.7%
화요일 26
 
9.7%
금요일 21
 
7.9%
일요일 15
 
5.6%
월요일 10
 
3.7%
수요일+목요일 5
 
1.9%
화요일+수요일 3
 
1.1%
목요일+금요일 3
 
1.1%
Other values (9) 16
 
6.0%

Length

2024-04-22T09:35:34.267904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
토요일 91
34.1%
수요일 43
16.1%
목요일 34
 
12.7%
화요일 26
 
9.7%
금요일 21
 
7.9%
일요일 15
 
5.6%
월요일 10
 
3.7%
수요일+목요일 5
 
1.9%
일요일+월요일+화요일+수요일+목요일+금요일+토요일 3
 
1.1%
일요일+화요일+수요일+목요일+금요일+토요일 3
 
1.1%
Other values (9) 16
 
6.0%

수강료
Real number (ℝ)

ZEROS 

Distinct15
Distinct (%)5.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3518.7266
Minimum0
Maximum50000
Zeros204
Zeros (%)76.4%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-04-22T09:35:34.373438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile16000
Maximum50000
Range50000
Interquartile range (IQR)0

Descriptive statistics

Standard deviation8753.4969
Coefficient of variation (CV)2.4876889
Kurtosis12.105338
Mean3518.7266
Median Absolute Deviation (MAD)0
Skewness3.3842102
Sum939500
Variance76623708
MonotonicityNot monotonic
2024-04-22T09:35:34.500997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 204
76.4%
10000 17
 
6.4%
5000 12
 
4.5%
40000 7
 
2.6%
15000 6
 
2.2%
8000 5
 
1.9%
16000 3
 
1.1%
5500 2
 
0.7%
30000 2
 
0.7%
12000 2
 
0.7%
Other values (5) 7
 
2.6%
ValueCountFrequency (%)
0 204
76.4%
3000 1
 
0.4%
5000 12
 
4.5%
5500 2
 
0.7%
6000 1
 
0.4%
7500 1
 
0.4%
8000 5
 
1.9%
10000 17
 
6.4%
12000 2
 
0.7%
15000 6
 
2.2%
ValueCountFrequency (%)
50000 2
 
0.7%
40000 7
2.6%
30000 2
 
0.7%
20000 2
 
0.7%
16000 3
 
1.1%
15000 6
 
2.2%
12000 2
 
0.7%
10000 17
6.4%
8000 5
 
1.9%
7500 1
 
0.4%

정원
Real number (ℝ)

HIGH CORRELATION 

Distinct18
Distinct (%)6.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16
Minimum5
Maximum121
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-04-22T09:35:34.619773image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile6
Q110
median12
Q315
95-th percentile38.5
Maximum121
Range116
Interquartile range (IQR)5

Descriptive statistics

Standard deviation13.751555
Coefficient of variation (CV)0.85947218
Kurtosis23.365379
Mean16
Median Absolute Deviation (MAD)2
Skewness4.2562076
Sum4272
Variance189.10526
MonotonicityNot monotonic
2024-04-22T09:35:34.731937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
10 91
34.1%
12 51
19.1%
15 42
15.7%
20 25
 
9.4%
30 16
 
6.0%
6 12
 
4.5%
50 8
 
3.0%
8 5
 
1.9%
5 5
 
1.9%
100 2
 
0.7%
Other values (8) 10
 
3.7%
ValueCountFrequency (%)
5 5
 
1.9%
6 12
 
4.5%
7 2
 
0.7%
8 5
 
1.9%
10 91
34.1%
12 51
19.1%
13 1
 
0.4%
15 42
15.7%
20 25
 
9.4%
25 2
 
0.7%
ValueCountFrequency (%)
121 1
 
0.4%
100 2
 
0.7%
70 1
 
0.4%
60 1
 
0.4%
50 8
 
3.0%
40 1
 
0.4%
35 1
 
0.4%
30 16
6.0%
25 2
 
0.7%
20 25
9.4%

예비정원
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct14
Distinct (%)5.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean5.928839
Minimum0
Maximum50
Zeros5
Zeros (%)1.9%
Negative0
Negative (%)0.0%
Memory size2.5 KiB
2024-04-22T09:35:34.853561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile2
Q15
median5
Q36
95-th percentile10
Maximum50
Range50
Interquartile range (IQR)1

Descriptive statistics

Standard deviation4.5354278
Coefficient of variation (CV)0.76497739
Kurtosis41.084828
Mean5.928839
Median Absolute Deviation (MAD)1
Skewness5.333301
Sum1583
Variance20.570105
MonotonicityNot monotonic
2024-04-22T09:35:34.964670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
5 128
47.9%
3 36
 
13.5%
10 33
 
12.4%
6 24
 
9.0%
2 13
 
4.9%
7 11
 
4.1%
0 5
 
1.9%
8 5
 
1.9%
4 4
 
1.5%
30 3
 
1.1%
Other values (4) 5
 
1.9%
ValueCountFrequency (%)
0 5
 
1.9%
2 13
 
4.9%
3 36
 
13.5%
4 4
 
1.5%
5 128
47.9%
6 24
 
9.0%
7 11
 
4.1%
8 5
 
1.9%
10 33
 
12.4%
12 1
 
0.4%
ValueCountFrequency (%)
50 1
 
0.4%
30 3
 
1.1%
20 1
 
0.4%
15 2
 
0.7%
12 1
 
0.4%
10 33
 
12.4%
8 5
 
1.9%
7 11
 
4.1%
6 24
 
9.0%
5 128
47.9%

Interactions

2024-04-22T09:35:30.192766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T09:35:29.196477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T09:35:29.524798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T09:35:29.869115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T09:35:30.272053image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T09:35:29.272681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T09:35:29.616944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T09:35:29.951676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T09:35:30.356014image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T09:35:29.349259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T09:35:29.702617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T09:35:30.032134image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T09:35:30.444214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T09:35:29.432856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T09:35:29.789280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-22T09:35:30.110595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-22T09:35:35.049679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번장소교육요일수강료정원예비정원
연번1.0000.9160.5330.2880.3090.336
장소0.9161.0000.7900.0000.9530.959
교육요일0.5330.7901.0000.3610.0000.516
수강료0.2880.0000.3611.0000.2190.000
정원0.3090.9530.0000.2191.0000.804
예비정원0.3360.9590.5160.0000.8041.000
2024-04-22T09:35:35.166282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번수강료정원예비정원교육요일
연번1.0000.293-0.0680.0650.226
수강료0.2931.000-0.090-0.0630.164
정원-0.068-0.0901.0000.5600.000
예비정원0.065-0.0630.5601.0000.176
교육요일0.2260.1640.0000.1761.000

Missing values

2024-04-22T09:35:30.587216image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-22T09:35:30.751771image/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

연번행사명접수시작일접수종료일대상장소행사시작일행사종료일교육요일수강료정원예비정원
01오일파스텔로 그리는 책표지2021-04-062021-04-20성인비대면 줌(ZOOM) 어플리케이션2021-04-242021-04-24토요일0155
12빛과 모래로 들려주는 동화책, 샌드북2021-04-222021-05-02일반유튜브 실시간 참여2021-05-022021-05-02일요일010050
235월 행사 창작동화 "마법의 설탕 두조각"2021-05-112021-05-29일반(비대면) 유튜브 라이브 공연2021-05-292021-05-29토요일05030
34근대소설로 공간읽기2021-05-112021-06-30청소년+성인실시간 온라인 수업2021-06-022021-06-30수요일05010
45그림책과 함께 신나는 창의놀이! 책놀이!2021-06-092021-06-156~7세 아이와 보호자남동논현도서관 청소년실2021-06-162021-06-16수요일053
56재미있는 숲체험, 테라리움 만들기2021-06-092021-06-15초등1~2학년과 보호자남동논현도서관 프로그램실2021-06-162021-06-16수요일1000053
67하늘이 딱딱했대? - 신원미 작가와의 만남2021-06-092021-06-15초등 3~4학년남동논현도서관 다목적실2021-06-162021-06-16수요일0125
78나다움으로 함께 읽기(온라인)2021-06-222021-08-11인천시 거주 성인비대면 줌(ZOOM) 어플리케이션2021-07-092021-08-13금요일03010
89영화로 보는 4차산업혁명2021-06-212021-07-06성인 30명비대면(zoom) 강의2021-07-062021-08-03화요일03010
9107월 행사 "석고방향제 화분 만들기"2021-07-062021-07-227세 이상(비대면) 유튜브 동영상 강의2021-07-232021-07-24금요일+토요일03015
연번행사명접수시작일접수종료일대상장소행사시작일행사종료일교육요일수강료정원예비정원
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264265[방학] 나도 마술사!: 수리수리 마수리 얍!! (유아 6~7세) [프로그램 운영 연기]2023-12-262024-01-22유아(6~7세)만수2동어린이도서관2024-01-232024-01-23화요일01212
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