Overview

Dataset statistics

Number of variables15
Number of observations106
Missing cells212
Missing cells (%)13.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.5 KiB
Average record size in memory130.2 B

Variable types

Text2
Unsupported2
DateTime4
Numeric7

Dataset

Description경기도평생교육진흥원 모집정보 현황
Author경기도평생교육진흥원
URLhttps://data.gg.go.kr/portal/data/service/selectServicePage.do?&infId=6560HOU2VAP6CXMCQC9P30888500&infSeq=1

Alerts

신청자수 is highly overall correlated with 신청자수(여) and 1 other fieldsHigh correlation
신청자수(여) is highly overall correlated with 신청자수 and 1 other fieldsHigh correlation
신청자수(남) is highly overall correlated with 신청자수 and 1 other fieldsHigh correlation
승인자수 is highly overall correlated with 승인자수(여) and 1 other fieldsHigh correlation
승인자수(여) is highly overall correlated with 승인자수 and 1 other fieldsHigh correlation
승인자수(남) is highly overall correlated with 승인자수 and 1 other fieldsHigh correlation
이수인정(시간) has 106 (100.0%) missing valuesMissing
이수인정(분) has 106 (100.0%) missing valuesMissing
행사제목 has unique valuesUnique
이수인정(시간) is an unsupported type, check if it needs cleaning or further analysisUnsupported
이수인정(분) is an unsupported type, check if it needs cleaning or further analysisUnsupported
모집인원 has 20 (18.9%) zerosZeros
신청자수 has 9 (8.5%) zerosZeros
신청자수(여) has 14 (13.2%) zerosZeros
신청자수(남) has 35 (33.0%) zerosZeros
승인자수 has 89 (84.0%) zerosZeros
승인자수(여) has 89 (84.0%) zerosZeros
승인자수(남) has 90 (84.9%) zerosZeros

Reproduction

Analysis started2023-12-22 21:36:24.002924
Analysis finished2023-12-22 21:37:00.730445
Duration36.73 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

행사제목
Text

UNIQUE 

Distinct106
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size980.0 B
2023-12-22T21:37:01.578819image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length57
Median length46.5
Mean length38.707547
Min length10

Characters and Unicode

Total characters4103
Distinct characters265
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

Unique106 ?
Unique (%)100.0%

Sample

1st row[접수] 2023년 파주시 및 경기도 지원 2박 3일 영어캠프 5기 (구글폼 신청 필수)(마감)
2nd row지역갈등관리 전문가 양성 과정(2차) 참여자 추가모집
3rd row민주시민교육 공동체 갈등관리 역량강화 프로그램
4th row2023년 경기도 디지털 문해교육 Jump-Up 세미나
5th row2023년 경기도 민주시민교육 인식개선 강연회 참석자 모집
ValueCountFrequency (%)
2023년 55
 
6.9%
모집 26
 
3.3%
신청 24
 
3.0%
경기도 20
 
2.5%
모집(구글폼 19
 
2.4%
파주캠퍼스 17
 
2.1%
경기미래교육 15
 
1.9%
메이커스페이스 15
 
1.9%
교육생 13
 
1.6%
평생교육 13
 
1.6%
Other values (259) 581
72.8%
2023-12-22T21:37:03.472856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
693
 
16.9%
2 140
 
3.4%
교 121
 
2.9%
육 104
 
2.5%
기 83
 
2.0%
( 82
 
2.0%
) 82
 
2.0%
3 73
 
1.8%
모 67
 
1.6%
집 65
 
1.6%
Other values (255) 2593
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2728
66.5%
Space Separator 693
 
16.9%
Decimal Number 322
 
7.8%
Open Punctuation 95
 
2.3%
Close Punctuation 95
 
2.3%
Lowercase Letter 64
 
1.6%
Other Punctuation 63
 
1.5%
Uppercase Letter 19
 
0.5%
Connector Punctuation 16
 
0.4%
Math Symbol 5
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 121
 
4.4%
육 104
 
3.8%
기 83
 
3.0%
모 67
 
2.5%
집 65
 
2.4%
년 63
 
2.3%
주 62
 
2.3%
시 55
 
2.0%
스 53
 
1.9%
민 51
 
1.9%
Other values (208) 2004
73.5%
Lowercase Letter
ValueCountFrequency (%)
e 16
25.0%
a 14
21.9%
k 9
14.1%
l 7
10.9%
r 6
 
9.4%
c 5
 
7.8%
o 2
 
3.1%
p 2
 
3.1%
d 1
 
1.6%
m 1
 
1.6%
Decimal Number
ValueCountFrequency (%)
2 140
43.5%
3 73
22.7%
0 62
19.3%
1 15
 
4.7%
9 6
 
1.9%
8 6
 
1.9%
6 6
 
1.9%
7 5
 
1.6%
4 5
 
1.6%
5 4
 
1.2%
Other Punctuation
ValueCountFrequency (%)
, 24
38.1%
' 16
25.4%
# 10
15.9%
/ 4
 
6.3%
! 4
 
6.3%
" 2
 
3.2%
& 2
 
3.2%
. 1
 
1.6%
Uppercase Letter
ValueCountFrequency (%)
M 5
26.3%
P 5
26.3%
T 4
21.1%
W 1
 
5.3%
H 1
 
5.3%
U 1
 
5.3%
J 1
 
5.3%
D 1
 
5.3%
Math Symbol
ValueCountFrequency (%)
> 2
40.0%
< 2
40.0%
~ 1
20.0%
Open Punctuation
ValueCountFrequency (%)
( 82
86.3%
[ 13
 
13.7%
Close Punctuation
ValueCountFrequency (%)
) 82
86.3%
] 13
 
13.7%
Space Separator
ValueCountFrequency (%)
693
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 16
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2728
66.5%
Common 1292
31.5%
Latin 83
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 121
 
4.4%
육 104
 
3.8%
기 83
 
3.0%
모 67
 
2.5%
집 65
 
2.4%
년 63
 
2.3%
주 62
 
2.3%
시 55
 
2.0%
스 53
 
1.9%
민 51
 
1.9%
Other values (208) 2004
73.5%
Common
ValueCountFrequency (%)
693
53.6%
2 140
 
10.8%
( 82
 
6.3%
) 82
 
6.3%
3 73
 
5.7%
0 62
 
4.8%
, 24
 
1.9%
' 16
 
1.2%
_ 16
 
1.2%
1 15
 
1.2%
Other values (18) 89
 
6.9%
Latin
ValueCountFrequency (%)
e 16
19.3%
a 14
16.9%
k 9
10.8%
l 7
8.4%
r 6
 
7.2%
c 5
 
6.0%
M 5
 
6.0%
P 5
 
6.0%
T 4
 
4.8%
o 2
 
2.4%
Other values (9) 10
12.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2727
66.5%
ASCII 1375
33.5%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
693
50.4%
2 140
 
10.2%
( 82
 
6.0%
) 82
 
6.0%
3 73
 
5.3%
0 62
 
4.5%
, 24
 
1.7%
e 16
 
1.2%
' 16
 
1.2%
_ 16
 
1.2%
Other values (37) 171
 
12.4%
Hangul
ValueCountFrequency (%)
교 121
 
4.4%
육 104
 
3.8%
기 83
 
3.0%
모 67
 
2.5%
집 65
 
2.4%
년 63
 
2.3%
주 62
 
2.3%
시 55
 
2.0%
스 53
 
1.9%
민 51
 
1.9%
Other values (207) 2003
73.5%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

이수인정(시간)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing106
Missing (%)100.0%
Memory size1.1 KiB

이수인정(분)
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing106
Missing (%)100.0%
Memory size1.1 KiB

행사시작일
Date

Distinct67
Distinct (%)63.2%
Missing0
Missing (%)0.0%
Memory size980.0 B
Minimum2023-03-02 00:00:00
Maximum2023-12-01 00:00:00
2023-12-22T21:37:04.632717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:37:05.765453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

행사종료일
Date

Distinct65
Distinct (%)61.3%
Missing0
Missing (%)0.0%
Memory size980.0 B
Minimum2023-04-07 00:00:00
Maximum2100-12-31 00:00:00
2023-12-22T21:37:06.938771image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:37:07.851795image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

신청시작일
Date

Distinct61
Distinct (%)57.5%
Missing0
Missing (%)0.0%
Memory size980.0 B
Minimum2023-01-01 00:00:00
Maximum2023-11-22 00:00:00
2023-12-22T21:37:08.699131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:37:09.568575image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

신청마감일
Date

Distinct69
Distinct (%)65.1%
Missing0
Missing (%)0.0%
Memory size980.0 B
Minimum2023-03-31 00:00:00
Maximum2023-12-31 00:00:00
2023-12-22T21:37:10.393549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:37:11.074010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

모집인원
Real number (ℝ)

ZEROS 

Distinct26
Distinct (%)24.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean57.028302
Minimum0
Maximum1000
Zeros20
Zeros (%)18.9%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-22T21:37:12.136557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median1
Q350
95-th percentile280.25
Maximum1000
Range1000
Interquartile range (IQR)49

Descriptive statistics

Standard deviation125.12915
Coefficient of variation (CV)2.1941588
Kurtosis31.130483
Mean57.028302
Median Absolute Deviation (MAD)1
Skewness4.7871804
Sum6045
Variance15657.304
MonotonicityNot monotonic
2023-12-22T21:37:13.156670image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
1 35
33.0%
0 20
18.9%
40 5
 
4.7%
90 5
 
4.7%
300 4
 
3.8%
35 4
 
3.8%
20 4
 
3.8%
140 4
 
3.8%
25 3
 
2.8%
30 2
 
1.9%
Other values (16) 20
18.9%
ValueCountFrequency (%)
0 20
18.9%
1 35
33.0%
3 1
 
0.9%
5 1
 
0.9%
8 1
 
0.9%
10 2
 
1.9%
20 4
 
3.8%
25 3
 
2.8%
30 2
 
1.9%
35 4
 
3.8%
ValueCountFrequency (%)
1000 1
 
0.9%
450 1
 
0.9%
300 4
3.8%
221 1
 
0.9%
220 1
 
0.9%
200 1
 
0.9%
198 1
 
0.9%
180 1
 
0.9%
150 2
1.9%
140 4
3.8%

장소
Text

Distinct58
Distinct (%)54.7%
Missing0
Missing (%)0.0%
Memory size980.0 B
2023-12-22T21:37:14.342866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length30
Mean length17.009434
Min length3

Characters and Unicode

Total characters1803
Distinct characters186
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique47 ?
Unique (%)44.3%

Sample

1st row경기미래교육 파주캠퍼스
2nd row경기도공익활동지원센터 북부지부 대회의실
3rd row퇴계원도서관 다목적 강당
4th row일자별 장소 별도 공지 예정
5th row경기도 수원시 권선구 세화로134번길 37(수원 메쎄, 2층 회의실)
ValueCountFrequency (%)
경기미래교육 26
 
7.6%
파주캠퍼스 23
 
6.7%
메이커스페이스 16
 
4.7%
경기도 11
 
3.2%
등 10
 
2.9%
교육장소(학교 9
 
2.6%
청소년단체 9
 
2.6%
기타 9
 
2.6%
기관 9
 
2.6%
기관별 9
 
2.6%
Other values (116) 212
61.8%
2023-12-22T21:37:16.171339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
237
 
13.1%
기 96
 
5.3%
교 77
 
4.3%
스 76
 
4.2%
육 66
 
3.7%
경 64
 
3.5%
파 44
 
2.4%
미 43
 
2.4%
래 42
 
2.3%
캠 41
 
2.3%
Other values (176) 1017
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1432
79.4%
Space Separator 237
 
13.1%
Decimal Number 60
 
3.3%
Other Punctuation 26
 
1.4%
Close Punctuation 18
 
1.0%
Open Punctuation 18
 
1.0%
Uppercase Letter 9
 
0.5%
Lowercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 96
 
6.7%
교 77
 
5.4%
스 76
 
5.3%
육 66
 
4.6%
경 64
 
4.5%
파 44
 
3.1%
미 43
 
3.0%
래 42
 
2.9%
캠 41
 
2.9%
퍼 41
 
2.9%
Other values (156) 842
58.8%
Decimal Number
ValueCountFrequency (%)
0 15
25.0%
1 12
20.0%
2 10
16.7%
4 8
13.3%
3 4
 
6.7%
9 4
 
6.7%
5 3
 
5.0%
7 2
 
3.3%
6 1
 
1.7%
8 1
 
1.7%
Uppercase Letter
ValueCountFrequency (%)
B 7
77.8%
F 1
 
11.1%
Z 1
 
11.1%
Other Punctuation
ValueCountFrequency (%)
, 24
92.3%
· 2
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
o 2
66.7%
m 1
33.3%
Space Separator
ValueCountFrequency (%)
237
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1432
79.4%
Common 359
 
19.9%
Latin 12
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 96
 
6.7%
교 77
 
5.4%
스 76
 
5.3%
육 66
 
4.6%
경 64
 
4.5%
파 44
 
3.1%
미 43
 
3.0%
래 42
 
2.9%
캠 41
 
2.9%
퍼 41
 
2.9%
Other values (156) 842
58.8%
Common
ValueCountFrequency (%)
237
66.0%
, 24
 
6.7%
) 18
 
5.0%
( 18
 
5.0%
0 15
 
4.2%
1 12
 
3.3%
2 10
 
2.8%
4 8
 
2.2%
3 4
 
1.1%
9 4
 
1.1%
Other values (5) 9
 
2.5%
Latin
ValueCountFrequency (%)
B 7
58.3%
o 2
 
16.7%
F 1
 
8.3%
Z 1
 
8.3%
m 1
 
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1432
79.4%
ASCII 369
 
20.5%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
237
64.2%
, 24
 
6.5%
) 18
 
4.9%
( 18
 
4.9%
0 15
 
4.1%
1 12
 
3.3%
2 10
 
2.7%
4 8
 
2.2%
B 7
 
1.9%
3 4
 
1.1%
Other values (9) 16
 
4.3%
Hangul
ValueCountFrequency (%)
기 96
 
6.7%
교 77
 
5.4%
스 76
 
5.3%
육 66
 
4.6%
경 64
 
4.5%
파 44
 
3.1%
미 43
 
3.0%
래 42
 
2.9%
캠 41
 
2.9%
퍼 41
 
2.9%
Other values (156) 842
58.8%
None
ValueCountFrequency (%)
· 2
100.0%

신청자수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct40
Distinct (%)37.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26.613208
Minimum0
Maximum692
Zeros9
Zeros (%)8.5%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-22T21:37:16.604761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median3
Q325
95-th percentile87.5
Maximum692
Range692
Interquartile range (IQR)24

Descriptive statistics

Standard deviation78.40488
Coefficient of variation (CV)2.9460891
Kurtosis52.666532
Mean26.613208
Median Absolute Deviation (MAD)3
Skewness6.7662964
Sum2821
Variance6147.3252
MonotonicityNot monotonic
2023-12-22T21:37:17.335212image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1 31
29.2%
2 10
 
9.4%
0 9
 
8.5%
3 4
 
3.8%
25 3
 
2.8%
24 3
 
2.8%
20 3
 
2.8%
26 3
 
2.8%
34 3
 
2.8%
6 3
 
2.8%
Other values (30) 34
32.1%
ValueCountFrequency (%)
0 9
 
8.5%
1 31
29.2%
2 10
 
9.4%
3 4
 
3.8%
4 1
 
0.9%
5 2
 
1.9%
6 3
 
2.8%
8 1
 
0.9%
10 2
 
1.9%
11 1
 
0.9%
ValueCountFrequency (%)
692 1
0.9%
359 1
0.9%
173 1
0.9%
140 1
0.9%
104 1
0.9%
90 1
0.9%
80 1
0.9%
71 1
0.9%
55 1
0.9%
54 1
0.9%

신청자수(여)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct30
Distinct (%)28.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.377358
Minimum0
Maximum346
Zeros14
Zeros (%)13.2%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-22T21:37:18.018080image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q11
median2
Q313
95-th percentile43.75
Maximum346
Range346
Interquartile range (IQR)12

Descriptive statistics

Standard deviation39.162775
Coefficient of variation (CV)2.9275417
Kurtosis52.805814
Mean13.377358
Median Absolute Deviation (MAD)2
Skewness6.7766923
Sum1418
Variance1533.7229
MonotonicityNot monotonic
2023-12-22T21:37:18.787039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
1 38
35.8%
0 14
 
13.2%
13 5
 
4.7%
2 5
 
4.7%
17 4
 
3.8%
12 4
 
3.8%
10 3
 
2.8%
15 3
 
2.8%
3 3
 
2.8%
5 3
 
2.8%
Other values (20) 24
22.6%
ValueCountFrequency (%)
0 14
 
13.2%
1 38
35.8%
2 5
 
4.7%
3 3
 
2.8%
4 1
 
0.9%
5 3
 
2.8%
6 1
 
0.9%
7 1
 
0.9%
8 2
 
1.9%
9 2
 
1.9%
ValueCountFrequency (%)
346 1
0.9%
179 1
0.9%
87 1
0.9%
70 1
0.9%
52 1
0.9%
45 1
0.9%
40 1
0.9%
36 1
0.9%
27 2
1.9%
25 1
0.9%

신청자수(남)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct31
Distinct (%)29.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.235849
Minimum0
Maximum346
Zeros35
Zeros (%)33.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-22T21:37:19.624677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median2
Q312.75
95-th percentile43.75
Maximum346
Range346
Interquartile range (IQR)12.75

Descriptive statistics

Standard deviation39.245152
Coefficient of variation (CV)2.9650649
Kurtosis52.511043
Mean13.235849
Median Absolute Deviation (MAD)2
Skewness6.7543289
Sum1403
Variance1540.1819
MonotonicityNot monotonic
2023-12-22T21:37:20.286457image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)
ValueCountFrequency (%)
0 35
33.0%
1 17
16.0%
12 6
 
5.7%
3 5
 
4.7%
10 4
 
3.8%
13 4
 
3.8%
2 3
 
2.8%
14 3
 
2.8%
17 3
 
2.8%
6 2
 
1.9%
Other values (21) 24
22.6%
ValueCountFrequency (%)
0 35
33.0%
1 17
16.0%
2 3
 
2.8%
3 5
 
4.7%
4 1
 
0.9%
5 2
 
1.9%
6 2
 
1.9%
7 1
 
0.9%
8 1
 
0.9%
9 2
 
1.9%
ValueCountFrequency (%)
346 1
0.9%
180 1
0.9%
86 1
0.9%
70 1
0.9%
52 1
0.9%
45 1
0.9%
40 1
0.9%
35 1
0.9%
28 1
0.9%
27 1
0.9%

승인자수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct17
Distinct (%)16.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.0754717
Minimum0
Maximum169
Zeros89
Zeros (%)84.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-22T21:37:20.888808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile32.5
Maximum169
Range169
Interquartile range (IQR)0

Descriptive statistics

Standard deviation20.79684
Coefficient of variation (CV)3.4230823
Kurtosis37.589016
Mean6.0754717
Median Absolute Deviation (MAD)0
Skewness5.5285809
Sum644
Variance432.50854
MonotonicityNot monotonic
2023-12-22T21:37:21.944608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=17)
ValueCountFrequency (%)
0 89
84.0%
19 2
 
1.9%
63 1
 
0.9%
20 1
 
0.9%
54 1
 
0.9%
31 1
 
0.9%
169 1
 
0.9%
1 1
 
0.9%
37 1
 
0.9%
5 1
 
0.9%
Other values (7) 7
 
6.6%
ValueCountFrequency (%)
0 89
84.0%
1 1
 
0.9%
5 1
 
0.9%
9 1
 
0.9%
19 2
 
1.9%
20 1
 
0.9%
23 1
 
0.9%
25 1
 
0.9%
26 1
 
0.9%
29 1
 
0.9%
ValueCountFrequency (%)
169 1
0.9%
81 1
0.9%
63 1
0.9%
54 1
0.9%
37 1
0.9%
33 1
0.9%
31 1
0.9%
29 1
0.9%
26 1
0.9%
25 1
0.9%

승인자수(여)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct15
Distinct (%)14.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0377358
Minimum0
Maximum84
Zeros89
Zeros (%)84.0%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-22T21:37:22.454751image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile15.75
Maximum84
Range84
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.321429
Coefficient of variation (CV)3.3977375
Kurtosis37.720778
Mean3.0377358
Median Absolute Deviation (MAD)0
Skewness5.5315517
Sum322
Variance106.5319
MonotonicityNot monotonic
2023-12-22T21:37:22.845639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=15)
ValueCountFrequency (%)
0 89
84.0%
10 3
 
2.8%
13 2
 
1.9%
3 1
 
0.9%
31 1
 
0.9%
27 1
 
0.9%
15 1
 
0.9%
84 1
 
0.9%
1 1
 
0.9%
18 1
 
0.9%
Other values (5) 5
 
4.7%
ValueCountFrequency (%)
0 89
84.0%
1 1
 
0.9%
3 1
 
0.9%
5 1
 
0.9%
10 3
 
2.8%
12 1
 
0.9%
13 2
 
1.9%
14 1
 
0.9%
15 1
 
0.9%
16 1
 
0.9%
ValueCountFrequency (%)
84 1
0.9%
40 1
0.9%
31 1
0.9%
27 1
0.9%
18 1
0.9%
16 1
0.9%
15 1
0.9%
14 1
0.9%
13 2
1.9%
12 1
0.9%

승인자수(남)
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct16
Distinct (%)15.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.0377358
Minimum0
Maximum85
Zeros90
Zeros (%)84.9%
Negative0
Negative (%)0.0%
Memory size1.1 KiB
2023-12-22T21:37:23.519308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median0
Q30
95-th percentile16.75
Maximum85
Range85
Interquartile range (IQR)0

Descriptive statistics

Standard deviation10.478026
Coefficient of variation (CV)3.4492882
Kurtosis37.423019
Mean3.0377358
Median Absolute Deviation (MAD)0
Skewness5.5227287
Sum322
Variance109.78904
MonotonicityNot monotonic
2023-12-22T21:37:24.071868image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
0 90
84.9%
9 2
 
1.9%
32 1
 
0.9%
10 1
 
0.9%
27 1
 
0.9%
16 1
 
0.9%
85 1
 
0.9%
19 1
 
0.9%
2 1
 
0.9%
4 1
 
0.9%
Other values (6) 6
 
5.7%
ValueCountFrequency (%)
0 90
84.9%
2 1
 
0.9%
4 1
 
0.9%
9 2
 
1.9%
10 1
 
0.9%
11 1
 
0.9%
12 1
 
0.9%
13 1
 
0.9%
15 1
 
0.9%
16 1
 
0.9%
ValueCountFrequency (%)
85 1
0.9%
41 1
0.9%
32 1
0.9%
27 1
0.9%
19 1
0.9%
17 1
0.9%
16 1
0.9%
15 1
0.9%
13 1
0.9%
12 1
0.9%

Interactions

2023-12-22T21:36:55.569642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:33.471527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:37.090604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:40.778152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:44.146524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:48.006610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:52.272622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:55.968830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:34.041281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:37.754352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:41.291373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:44.598530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:48.612871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:52.671163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:56.654924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:34.541565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:38.448858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:41.884567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:45.162448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:49.246634image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:53.234622image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:57.061296image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:34.998966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:38.891648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:42.394182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:45.585290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:50.218181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:53.780089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:57.782846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:35.595953image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:39.525563image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:42.853495image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:46.374473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:50.963208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:54.230915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:58.289886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:36.188726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:40.004092image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:43.315828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:46.902052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:51.356945image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:54.736699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:58.746875image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:36.632458image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:40.350886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:43.683831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:47.432337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:51.838607image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-22T21:36:55.158494image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-22T21:37:24.500162image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
행사시작일행사종료일신청시작일신청마감일모집인원장소신청자수신청자수(여)신청자수(남)승인자수승인자수(여)승인자수(남)
행사시작일1.0000.9940.9900.9900.8560.9890.9880.9880.9880.9680.9680.920
행사종료일0.9941.0000.9870.9820.5700.9640.9400.9400.9400.7040.7040.617
신청시작일0.9900.9871.0000.9920.7730.9640.8880.8880.8880.9900.9900.959
신청마감일0.9900.9820.9921.0000.5250.9650.9390.9390.9390.9650.9650.917
모집인원0.8560.5700.7730.5251.0000.9640.9590.9590.9590.6310.6310.454
장소0.9890.9640.9640.9650.9641.0000.9940.9940.9940.9960.9960.996
신청자수0.9880.9400.8880.9390.9590.9941.0001.0001.0000.7800.7800.689
신청자수(여)0.9880.9400.8880.9390.9590.9941.0001.0001.0000.7800.7800.689
신청자수(남)0.9880.9400.8880.9390.9590.9941.0001.0001.0000.7800.7800.689
승인자수0.9680.7040.9900.9650.6310.9960.7800.7800.7801.0001.0000.998
승인자수(여)0.9680.7040.9900.9650.6310.9960.7800.7800.7801.0001.0000.998
승인자수(남)0.9200.6170.9590.9170.4540.9960.6890.6890.6890.9980.9981.000
2023-12-22T21:37:25.364608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
모집인원신청자수신청자수(여)신청자수(남)승인자수승인자수(여)승인자수(남)
모집인원1.0000.3480.3360.3600.1820.1820.147
신청자수0.3481.0000.9700.9750.4900.4900.461
신청자수(여)0.3360.9701.0000.9150.4930.4930.463
신청자수(남)0.3600.9750.9151.0000.4950.4950.466
승인자수0.1820.4900.4930.4951.0001.0000.975
승인자수(여)0.1820.4900.4930.4951.0001.0000.975
승인자수(남)0.1470.4610.4630.4660.9750.9751.000

Missing values

2023-12-22T21:36:59.276788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-22T21:37:00.398765image/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

행사제목이수인정(시간)이수인정(분)행사시작일행사종료일신청시작일신청마감일모집인원장소신청자수신청자수(여)신청자수(남)승인자수승인자수(여)승인자수(남)
0[접수] 2023년 파주시 및 경기도 지원 2박 3일 영어캠프 5기 (구글폼 신청 필수)(마감)<NA><NA>2023-11-202023-11-222023-11-062023-11-061경기미래교육 파주캠퍼스211000
1지역갈등관리 전문가 양성 과정(2차) 참여자 추가모집<NA><NA>2023-11-202023-11-222023-11-132023-11-178경기도공익활동지원센터 북부지부 대회의실523532
2민주시민교육 공동체 갈등관리 역량강화 프로그램<NA><NA>2023-11-212023-11-212023-10-102023-11-1750퇴계원도서관 다목적 강당101000
32023년 경기도 디지털 문해교육 Jump-Up 세미나<NA><NA>2023-11-222023-11-272023-11-102023-11-2680일자별 장소 별도 공지 예정713635633132
42023년 경기도 민주시민교육 인식개선 강연회 참석자 모집<NA><NA>2023-11-232023-11-232023-11-142023-11-231경기도 수원시 권선구 세화로134번길 37(수원 메쎄, 2층 회의실)000000
5다니엘 린데만이 들려주는 평화 Talk! 통일 Talk!(고양시)<NA><NA>2023-11-242023-11-242023-11-152023-11-24150킨텍스 제1전시장 중회의실 208호1055000
62023년 경기도 평생교육 연수센터 제6차 정규과정 '[직무] 지역 평생학습 네트워크 관리자 과정'<NA><NA>2023-11-272023-11-292023-10-272023-11-2935의정부시 중소기업지원센터251312201010
7체험형 시민참여현장체험 #1 경기도의회&광교역사공원<NA><NA>2023-11-292023-11-292023-11-222023-11-2840경기도의회211000
8체험형 시민참여현장체험 #2 오산죽미령평화공원<NA><NA>2023-11-302023-11-302023-11-222023-11-2840오산죽미령평화공원321000
9체험형 시민참여현장체험 #3 가평쁘띠프랑스&초콜릿박물관<NA><NA>2023-11-302023-11-302023-11-222023-11-2840가평쁘띠프랑스110000
행사제목이수인정(시간)이수인정(분)행사시작일행사종료일신청시작일신청마감일모집인원장소신청자수신청자수(여)신청자수(남)승인자수승인자수(여)승인자수(남)
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