Overview

Dataset statistics

Number of variables4
Number of observations42
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory37.0 B

Variable types

Categorical3
Text1

Dataset

Description포천도시공사에서 지출하는 연간 광고비 집행현황입니다. 신문, 방송 등 매체에 지불하는 모든 광고비를 포함합니다.
Author포천도시공사
URLhttps://www.data.go.kr/data/15126030/fileData.do

Alerts

해당연도 has constant value ""Constant
활용목적 has constant value ""Constant

Reproduction

Analysis started2024-03-14 19:37:34.158139
Analysis finished2024-03-14 19:37:34.773975
Duration0.62 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

해당연도
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size464.0 B
2022
42 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 42
100.0%

Length

2024-03-15T04:37:34.985203image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:37:35.298289image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 42
100.0%

구분
Text

Distinct21
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Memory size464.0 B
2024-03-15T04:37:36.023329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length7
Mean length5.3333333
Min length4

Characters and Unicode

Total characters224
Distinct characters54
Distinct categories3 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row포천좋은신문
2nd row포천좋은신문
3rd row브릿지경제
4th row브릿지경제
5th row경기평화신문
ValueCountFrequency (%)
포천좋은신문 2
 
4.5%
브릿지경제 2
 
4.5%
인천일보 2
 
4.5%
경기북도일보 2
 
4.5%
경기도민일보 2
 
4.5%
일간투데이 2
 
4.5%
매일일보인터넷 2
 
4.5%
지뉴스데일리 2
 
4.5%
산경일보 2
 
4.5%
포천매일뉴스 2
 
4.5%
Other values (12) 24
54.5%
2024-03-15T04:37:37.942219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
26
 
11.6%
16
 
7.1%
14
 
6.2%
10
 
4.5%
10
 
4.5%
10
 
4.5%
10
 
4.5%
8
 
3.6%
6
 
2.7%
6
 
2.7%
Other values (44) 108
48.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 218
97.3%
Uppercase Letter 4
 
1.8%
Space Separator 2
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
26
 
11.9%
16
 
7.3%
14
 
6.4%
10
 
4.6%
10
 
4.6%
10
 
4.6%
10
 
4.6%
8
 
3.7%
6
 
2.8%
6
 
2.8%
Other values (41) 102
46.8%
Uppercase Letter
ValueCountFrequency (%)
V 2
50.0%
T 2
50.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 218
97.3%
Latin 4
 
1.8%
Common 2
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
26
 
11.9%
16
 
7.3%
14
 
6.4%
10
 
4.6%
10
 
4.6%
10
 
4.6%
10
 
4.6%
8
 
3.7%
6
 
2.8%
6
 
2.8%
Other values (41) 102
46.8%
Latin
ValueCountFrequency (%)
V 2
50.0%
T 2
50.0%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 218
97.3%
ASCII 6
 
2.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
26
 
11.9%
16
 
7.3%
14
 
6.4%
10
 
4.6%
10
 
4.6%
10
 
4.6%
10
 
4.6%
8
 
3.7%
6
 
2.8%
6
 
2.8%
Other values (41) 102
46.8%
ASCII
ValueCountFrequency (%)
V 2
33.3%
T 2
33.3%
2
33.3%

집행금액
Categorical

Distinct2
Distinct (%)4.8%
Missing0
Missing (%)0.0%
Memory size464.0 B
1000000
21 
100000
21 

Length

Max length7
Median length6.5
Mean length6.5
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1000000
2nd row100000
3rd row1000000
4th row100000
5th row1000000

Common Values

ValueCountFrequency (%)
1000000 21
50.0%
100000 21
50.0%

Length

2024-03-15T04:37:38.376335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:37:38.713072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1000000 21
50.0%
100000 21
50.0%

활용목적
Categorical

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size464.0 B
포천도시공사 인터넷배너 광고 건
42 

Length

Max length17
Median length17
Mean length17
Min length17

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row포천도시공사 인터넷배너 광고 건
2nd row포천도시공사 인터넷배너 광고 건
3rd row포천도시공사 인터넷배너 광고 건
4th row포천도시공사 인터넷배너 광고 건
5th row포천도시공사 인터넷배너 광고 건

Common Values

ValueCountFrequency (%)
포천도시공사 인터넷배너 광고 건 42
100.0%

Length

2024-03-15T04:37:38.978975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:37:39.340207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
포천도시공사 42
25.0%
인터넷배너 42
25.0%
광고 42
25.0%
42
25.0%

Correlations

2024-03-15T04:37:39.545402image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분집행금액
구분1.0000.000
집행금액0.0001.000

Missing values

2024-03-15T04:37:34.380897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T04:37:34.662965image/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

해당연도구분집행금액활용목적
02022포천좋은신문1000000포천도시공사 인터넷배너 광고 건
12022포천좋은신문100000포천도시공사 인터넷배너 광고 건
22022브릿지경제1000000포천도시공사 인터넷배너 광고 건
32022브릿지경제100000포천도시공사 인터넷배너 광고 건
42022경기평화신문1000000포천도시공사 인터넷배너 광고 건
52022경기평화신문100000포천도시공사 인터넷배너 광고 건
62022중앙신문1000000포천도시공사 인터넷배너 광고 건
72022중앙신문100000포천도시공사 인터넷배너 광고 건
82022포천뉴스1000000포천도시공사 인터넷배너 광고 건
92022포천뉴스100000포천도시공사 인터넷배너 광고 건
해당연도구분집행금액활용목적
322022일간투데이1000000포천도시공사 인터넷배너 광고 건
332022일간투데이100000포천도시공사 인터넷배너 광고 건
342022경기도민일보1000000포천도시공사 인터넷배너 광고 건
352022경기도민일보100000포천도시공사 인터넷배너 광고 건
362022경기북도일보1000000포천도시공사 인터넷배너 광고 건
372022경기북도일보100000포천도시공사 인터넷배너 광고 건
382022인천일보1000000포천도시공사 인터넷배너 광고 건
392022인천일보100000포천도시공사 인터넷배너 광고 건
402022기호일보1000000포천도시공사 인터넷배너 광고 건
412022기호일보100000포천도시공사 인터넷배너 광고 건