Overview

Dataset statistics

Number of variables5
Number of observations121
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.1 KiB
Average record size in memory43.1 B

Variable types

Numeric2
Text2
Categorical1

Dataset

Description한국방송광고진흥공사에서 관리운영하는 광고박물관 견학 및 특강 프로그램 운영 현황 관련 데이터로 년도, 일정, 강의주제, 신청학교, 인원 등의 항목을 제공합니다.
Author한국방송광고진흥공사
URLhttps://www.data.go.kr/data/15106125/fileData.do

Reproduction

Analysis started2023-12-11 23:55:38.303989
Analysis finished2023-12-11 23:55:39.129081
Duration0.83 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년도
Real number (ℝ)

Distinct10
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2015.5041
Minimum2012
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:55:39.174064image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2012
5-th percentile2012
Q12013
median2015
Q32017
95-th percentile2022
Maximum2023
Range11
Interquartile range (IQR)4

Descriptive statistics

Standard deviation3.1441055
Coefficient of variation (CV)0.0015599598
Kurtosis0.093526232
Mean2015.5041
Median Absolute Deviation (MAD)2
Skewness0.9447603
Sum243876
Variance9.8853994
MonotonicityIncreasing
2023-12-12T08:55:39.271425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=10)
ValueCountFrequency (%)
2012 22
18.2%
2014 18
14.9%
2013 16
13.2%
2015 16
13.2%
2016 12
9.9%
2017 9
7.4%
2018 9
7.4%
2022 8
 
6.6%
2019 6
 
5.0%
2023 5
 
4.1%
ValueCountFrequency (%)
2012 22
18.2%
2013 16
13.2%
2014 18
14.9%
2015 16
13.2%
2016 12
9.9%
2017 9
7.4%
2018 9
7.4%
2019 6
 
5.0%
2022 8
 
6.6%
2023 5
 
4.1%
ValueCountFrequency (%)
2023 5
 
4.1%
2022 8
 
6.6%
2019 6
 
5.0%
2018 9
7.4%
2017 9
7.4%
2016 12
9.9%
2015 16
13.2%
2014 18
14.9%
2013 16
13.2%
2012 22
18.2%

일정
Text

Distinct86
Distinct (%)71.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T08:55:39.486085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length7
Mean length7
Min length7

Characters and Unicode

Total characters847
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique62 ?
Unique (%)51.2%

Sample

1st row02월 16일
2nd row04월 05일
3rd row04월 12일
4th row04월 24일
5th row05월 02일
ValueCountFrequency (%)
05월 25
 
10.3%
06월 18
 
7.4%
04월 17
 
7.0%
08월 14
 
5.8%
07월 13
 
5.4%
11월 11
 
4.5%
13일 10
 
4.1%
12일 8
 
3.3%
02일 8
 
3.3%
14일 7
 
2.9%
Other values (33) 111
45.9%
2023-12-12T08:55:39.785234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 155
18.3%
121
14.3%
121
14.3%
121
14.3%
1 96
11.3%
2 54
 
6.4%
5 32
 
3.8%
4 30
 
3.5%
6 28
 
3.3%
7 27
 
3.2%
Other values (3) 62
 
7.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 484
57.1%
Other Letter 242
28.6%
Space Separator 121
 
14.3%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 155
32.0%
1 96
19.8%
2 54
 
11.2%
5 32
 
6.6%
4 30
 
6.2%
6 28
 
5.8%
7 27
 
5.6%
8 27
 
5.6%
3 23
 
4.8%
9 12
 
2.5%
Other Letter
ValueCountFrequency (%)
121
50.0%
121
50.0%
Space Separator
ValueCountFrequency (%)
121
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 605
71.4%
Hangul 242
 
28.6%

Most frequent character per script

Common
ValueCountFrequency (%)
0 155
25.6%
121
20.0%
1 96
15.9%
2 54
 
8.9%
5 32
 
5.3%
4 30
 
5.0%
6 28
 
4.6%
7 27
 
4.5%
8 27
 
4.5%
3 23
 
3.8%
Hangul
ValueCountFrequency (%)
121
50.0%
121
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 605
71.4%
Hangul 242
 
28.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 155
25.6%
121
20.0%
1 96
15.9%
2 54
 
8.9%
5 32
 
5.3%
4 30
 
5.0%
6 28
 
4.6%
7 27
 
4.5%
8 27
 
4.5%
3 23
 
3.8%
Hangul
ValueCountFrequency (%)
121
50.0%
121
50.0%

강의주제
Categorical

Distinct19
Distinct (%)15.7%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
광고의 이해
61 
광고와 박물관의 이해
38 
광고박물관의 이해
 
3
광고 크리에이티브
 
3
뉴 트렌드 광고
 
2
Other values (14)
14 

Length

Max length16
Median length6
Mean length8.2809917
Min length6

Unique

Unique14 ?
Unique (%)11.6%

Sample

1st row광고의 이해
2nd row뉴 트렌드 광고
3rd row광고의 이해
4th row광고의 이해
5th row광고의 이해

Common Values

ValueCountFrequency (%)
광고의 이해 61
50.4%
광고와 박물관의 이해 38
31.4%
광고박물관의 이해 3
 
2.5%
광고 크리에이티브 3
 
2.5%
뉴 트렌드 광고 2
 
1.7%
광고 디자인의 이해 1
 
0.8%
크리에이티브 1
 
0.8%
광고인이 되는 길 1
 
0.8%
광고회사 입성 전략 1
 
0.8%
광고제작과정 1
 
0.8%
Other values (9) 9
 
7.4%

Length

2023-12-12T08:55:39.908071image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
이해 108
36.7%
광고의 61
20.7%
광고와 38
 
12.9%
박물관의 38
 
12.9%
광고 8
 
2.7%
크리에이티브 4
 
1.4%
광고박물관의 3
 
1.0%
코칭 2
 
0.7%
2
 
0.7%
발표 2
 
0.7%
Other values (25) 28
 
9.5%
Distinct86
Distinct (%)71.1%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2023-12-12T08:55:40.186756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length17
Mean length10.338843
Min length3

Characters and Unicode

Total characters1251
Distinct characters162
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique70 ?
Unique (%)57.9%

Sample

1st rowHR에듀테인먼트
2nd row숭실대 정보사회학과
3rd row경기시흥 송운중
4th row여주대 시각디자인과
5th row어린이경제신문
ValueCountFrequency (%)
열광(전국청소년광고동아리 10
 
5.1%
광고홍보학과 7
 
3.6%
미디어커뮤니케이션학과 6
 
3.1%
상지대 6
 
3.1%
광고동아리 6
 
3.1%
언론광고학부 5
 
2.6%
상일여고 5
 
2.6%
수원대 4
 
2.0%
압구정중 4
 
2.0%
신문방송학과 4
 
2.0%
Other values (117) 139
70.9%
2023-12-12T08:55:40.589565image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
81
 
6.5%
75
 
6.0%
69
 
5.5%
57
 
4.6%
57
 
4.6%
34
 
2.7%
27
 
2.2%
25
 
2.0%
25
 
2.0%
24
 
1.9%
Other values (152) 777
62.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1141
91.2%
Space Separator 81
 
6.5%
Close Punctuation 12
 
1.0%
Open Punctuation 12
 
1.0%
Uppercase Letter 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
75
 
6.6%
69
 
6.0%
57
 
5.0%
57
 
5.0%
34
 
3.0%
27
 
2.4%
25
 
2.2%
25
 
2.2%
24
 
2.1%
23
 
2.0%
Other values (144) 725
63.5%
Uppercase Letter
ValueCountFrequency (%)
R 1
20.0%
H 1
20.0%
D 1
20.0%
K 1
20.0%
I 1
20.0%
Space Separator
ValueCountFrequency (%)
81
100.0%
Close Punctuation
ValueCountFrequency (%)
) 12
100.0%
Open Punctuation
ValueCountFrequency (%)
( 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1141
91.2%
Common 105
 
8.4%
Latin 5
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
75
 
6.6%
69
 
6.0%
57
 
5.0%
57
 
5.0%
34
 
3.0%
27
 
2.4%
25
 
2.2%
25
 
2.2%
24
 
2.1%
23
 
2.0%
Other values (144) 725
63.5%
Latin
ValueCountFrequency (%)
R 1
20.0%
H 1
20.0%
D 1
20.0%
K 1
20.0%
I 1
20.0%
Common
ValueCountFrequency (%)
81
77.1%
) 12
 
11.4%
( 12
 
11.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1141
91.2%
ASCII 110
 
8.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
81
73.6%
) 12
 
10.9%
( 12
 
10.9%
R 1
 
0.9%
H 1
 
0.9%
D 1
 
0.9%
K 1
 
0.9%
I 1
 
0.9%
Hangul
ValueCountFrequency (%)
75
 
6.6%
69
 
6.0%
57
 
5.0%
57
 
5.0%
34
 
3.0%
27
 
2.4%
25
 
2.2%
25
 
2.2%
24
 
2.1%
23
 
2.0%
Other values (144) 725
63.5%

인원
Real number (ℝ)

Distinct52
Distinct (%)43.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31.115702
Minimum6
Maximum126
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.2 KiB
2023-12-12T08:55:40.727336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum6
5-th percentile11
Q117
median24
Q337
95-th percentile69
Maximum126
Range120
Interquartile range (IQR)20

Descriptive statistics

Standard deviation20.458979
Coefficient of variation (CV)0.65751301
Kurtosis4.3441024
Mean31.115702
Median Absolute Deviation (MAD)9
Skewness1.809361
Sum3765
Variance418.56983
MonotonicityNot monotonic
2023-12-12T08:55:40.850765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
17 7
 
5.8%
18 7
 
5.8%
20 6
 
5.0%
15 6
 
5.0%
35 6
 
5.0%
43 4
 
3.3%
19 4
 
3.3%
21 4
 
3.3%
24 4
 
3.3%
31 3
 
2.5%
Other values (42) 70
57.9%
ValueCountFrequency (%)
6 1
 
0.8%
7 3
2.5%
10 2
 
1.7%
11 3
2.5%
12 2
 
1.7%
13 3
2.5%
14 2
 
1.7%
15 6
5.0%
16 2
 
1.7%
17 7
5.8%
ValueCountFrequency (%)
126 1
0.8%
102 1
0.8%
92 1
0.8%
80 1
0.8%
78 1
0.8%
77 1
0.8%
69 1
0.8%
67 1
0.8%
63 1
0.8%
61 2
1.7%

Interactions

2023-12-12T08:55:38.835604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:55:38.692020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:55:38.917287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:55:38.762163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T08:55:40.933247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년도일정강의주제신청학교인원
년도1.0000.8930.6750.0000.259
일정0.8931.0000.7990.7570.629
강의주제0.6750.7991.0000.0000.308
신청학교0.0000.7570.0001.0000.907
인원0.2590.6290.3080.9071.000
2023-12-12T08:55:41.014247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년도인원강의주제
년도1.000-0.3010.323
인원-0.3011.0000.125
강의주제0.3230.1251.000

Missing values

2023-12-12T08:55:39.011517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:55:39.098603image/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

년도일정강의주제신청학교인원
0201202월 16일광고의 이해HR에듀테인먼트80
1201204월 05일뉴 트렌드 광고숭실대 정보사회학과78
2201204월 12일광고의 이해경기시흥 송운중33
3201204월 24일광고의 이해여주대 시각디자인과52
4201205월 02일광고의 이해어린이경제신문35
5201207월 04일광고의 이해어린이경제신문35
6201209월 05일광고의 이해어린이경제신문34
7201205월 02일뉴 트렌드 광고성공회대 신문방송학과13
8201205월 04일광고의 이해대명중36
9201205월 22일광고의 이해협성대학교 광고홍보영상학과48
년도일정강의주제신청학교인원
111202208월 17일광고와 박물관의 이해경기 송림고등학교22
112202210월 01일광고와 박물관의 이해애드파워(대학생광고연합동아리)27
113202210월 27일광고와 박물관의 이해목포대 정치언론홍보학과28
114202211월 06일광고와 박물관의 이해숙명여대 홍보광고학과17
115202211월 18일광고 크리에이티브경북대학교 미디어커뮤니케이션학과22
116202304월 22일광고와 박물관의 이해수원대 미디어커뮤니케이션학과35
117202305월 20일광고와 박물관의 이해김포청소년재단 고촌청소년문화의집15
118202305월 26일광고와 박물관의 이해대신중학교7
119202307월 06일광고와 박물관의 이해강명중학교21
120202308월 08일광고와 박물관의 이해해룡고등학교(전남영광)11