Overview

Dataset statistics

Number of variables5
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory46.4 B

Variable types

Categorical4
Text1

Dataset

Description샘플 데이터
Author한양대
URLhttps://www.bigdata-region.kr/#/dataset/15452516-9b4a-4965-952a-f72261d0e7e8

Alerts

생성기간일자 has constant value ""Constant
채널ID has constant value ""Constant
빈도수 is highly overall correlated with 주제어빈도점수High correlation
주제어빈도점수 is highly overall correlated with 빈도수High correlation
채널추출명사명 has unique valuesUnique

Reproduction

Analysis started2023-12-10 14:24:14.931404
Analysis finished2023-12-10 14:24:15.258196
Duration0.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

생성기간일자
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
2019-12-21
30 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2019-12-21
2nd row2019-12-21
3rd row2019-12-21
4th row2019-12-21
5th row2019-12-21

Common Values

ValueCountFrequency (%)
2019-12-21 30
100.0%

Length

2023-12-10T23:24:15.355526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:24:15.444360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2019-12-21 30
100.0%

채널ID
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
https://www.youtube.com/channel/UC--bmnt1Y_syiANwBKQtFOQ
30 

Length

Max length56
Median length56
Mean length56
Min length56

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st rowhttps://www.youtube.com/channel/UC--bmnt1Y_syiANwBKQtFOQ
2nd rowhttps://www.youtube.com/channel/UC--bmnt1Y_syiANwBKQtFOQ
3rd rowhttps://www.youtube.com/channel/UC--bmnt1Y_syiANwBKQtFOQ
4th rowhttps://www.youtube.com/channel/UC--bmnt1Y_syiANwBKQtFOQ
5th rowhttps://www.youtube.com/channel/UC--bmnt1Y_syiANwBKQtFOQ

Common Values

ValueCountFrequency (%)
https://www.youtube.com/channel/UC--bmnt1Y_syiANwBKQtFOQ 30
100.0%

Length

2023-12-10T23:24:15.541709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:24:15.628910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
https://www.youtube.com/channel/uc--bmnt1y_syianwbkqtfoq 30
100.0%

채널추출명사명
Text

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
2023-12-10T23:24:15.783977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length2
Mean length2.1333333
Min length1

Characters and Unicode

Total characters64
Distinct characters47
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)100.0%

Sample

1st row부동산
2nd row산
3rd row부동
4th row중개
5th row중개업
ValueCountFrequency (%)
부동산 1
 
3.3%
산 1
 
3.3%
고려 1
 
3.3%
또한 1
 
3.3%
마음 1
 
3.3%
플랫폼 1
 
3.3%
처음 1
 
3.3%
중개사 1
 
3.3%
종사 1
 
3.3%
정보 1
 
3.3%
Other values (20) 20
66.7%
2023-12-10T23:24:16.108229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
사 4
 
6.2%
중 3
 
4.7%
개 3
 
4.7%
부 2
 
3.1%
양 2
 
3.1%
역 2
 
3.1%
동 2
 
3.1%
상 2
 
3.1%
안 2
 
3.1%
정 2
 
3.1%
Other values (37) 40
62.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 64
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 4
 
6.2%
중 3
 
4.7%
개 3
 
4.7%
부 2
 
3.1%
양 2
 
3.1%
역 2
 
3.1%
동 2
 
3.1%
상 2
 
3.1%
안 2
 
3.1%
정 2
 
3.1%
Other values (37) 40
62.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 64
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 4
 
6.2%
중 3
 
4.7%
개 3
 
4.7%
부 2
 
3.1%
양 2
 
3.1%
역 2
 
3.1%
동 2
 
3.1%
상 2
 
3.1%
안 2
 
3.1%
정 2
 
3.1%
Other values (37) 40
62.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 64
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
사 4
 
6.2%
중 3
 
4.7%
개 3
 
4.7%
부 2
 
3.1%
양 2
 
3.1%
역 2
 
3.1%
동 2
 
3.1%
상 2
 
3.1%
안 2
 
3.1%
정 2
 
3.1%
Other values (37) 40
62.5%

빈도수
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
1
21 
2
5 
6
3 
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row6
2nd row6
3rd row6
4th row3
5th row2

Common Values

ValueCountFrequency (%)
1 21
70.0%
2 5
 
16.7%
6 3
 
10.0%
3 1
 
3.3%

Length

2023-12-10T23:24:16.213902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:24:16.299025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 21
70.0%
2 5
 
16.7%
6 3
 
10.0%
3 1
 
3.3%

주제어빈도점수
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)13.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
17
21 
18
5 
20
3 
19
 
1

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique1 ?
Unique (%)3.3%

Sample

1st row20
2nd row20
3rd row20
4th row19
5th row18

Common Values

ValueCountFrequency (%)
17 21
70.0%
18 5
 
16.7%
20 3
 
10.0%
19 1
 
3.3%

Length

2023-12-10T23:24:16.388899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-10T23:24:16.479855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
17 21
70.0%
18 5
 
16.7%
20 3
 
10.0%
19 1
 
3.3%

Correlations

2023-12-10T23:24:16.537529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
채널추출명사명빈도수주제어빈도점수
채널추출명사명1.0001.0001.000
빈도수1.0001.0001.000
주제어빈도점수1.0001.0001.000
2023-12-10T23:24:16.606944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
빈도수주제어빈도점수
빈도수1.0001.000
주제어빈도점수1.0001.000
2023-12-10T23:24:16.672005image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
빈도수주제어빈도점수
빈도수1.0001.000
주제어빈도점수1.0001.000

Missing values

2023-12-10T23:24:15.085301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-10T23:24:15.202432image/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

생성기간일자채널ID채널추출명사명빈도수주제어빈도점수
02019-12-21https://www.youtube.com/channel/UC--bmnt1Y_syiANwBKQtFOQ부동산620
12019-12-21https://www.youtube.com/channel/UC--bmnt1Y_syiANwBKQtFOQ산620
22019-12-21https://www.youtube.com/channel/UC--bmnt1Y_syiANwBKQtFOQ부동620
32019-12-21https://www.youtube.com/channel/UC--bmnt1Y_syiANwBKQtFOQ중개319
42019-12-21https://www.youtube.com/channel/UC--bmnt1Y_syiANwBKQtFOQ중개업218
52019-12-21https://www.youtube.com/channel/UC--bmnt1Y_syiANwBKQtFOQ유튜브218
62019-12-21https://www.youtube.com/channel/UC--bmnt1Y_syiANwBKQtFOQ업218
72019-12-21https://www.youtube.com/channel/UC--bmnt1Y_syiANwBKQtFOQ안양218
82019-12-21https://www.youtube.com/channel/UC--bmnt1Y_syiANwBKQtFOQ상가218
92019-12-21https://www.youtube.com/channel/UC--bmnt1Y_syiANwBKQtFOQ기초117
생성기간일자채널ID채널추출명사명빈도수주제어빈도점수
202019-12-21https://www.youtube.com/channel/UC--bmnt1Y_syiANwBKQtFOQ정리117
212019-12-21https://www.youtube.com/channel/UC--bmnt1Y_syiANwBKQtFOQ정보117
222019-12-21https://www.youtube.com/channel/UC--bmnt1Y_syiANwBKQtFOQ종사117
232019-12-21https://www.youtube.com/channel/UC--bmnt1Y_syiANwBKQtFOQ중개사117
242019-12-21https://www.youtube.com/channel/UC--bmnt1Y_syiANwBKQtFOQ처음117
252019-12-21https://www.youtube.com/channel/UC--bmnt1Y_syiANwBKQtFOQ플랫폼117
262019-12-21https://www.youtube.com/channel/UC--bmnt1Y_syiANwBKQtFOQ마음117
272019-12-21https://www.youtube.com/channel/UC--bmnt1Y_syiANwBKQtFOQ또한117
282019-12-21https://www.youtube.com/channel/UC--bmnt1Y_syiANwBKQtFOQ고려117
292019-12-21https://www.youtube.com/channel/UC--bmnt1Y_syiANwBKQtFOQ공인117