Overview

Dataset statistics

Number of variables3
Number of observations27
Missing cells20
Missing cells (%)24.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory780.0 B
Average record size in memory28.9 B

Variable types

Text2
Unsupported1

Dataset

Description도민소통체감도여론조사현황2013
Author전라북도
URLhttps://www.bigdatahub.go.kr/opendata/dataSet/detail.nm?contentId=37&rlik=49451aebf056b486&serviceId=202217

Alerts

2013년 도민소통 체감도 조사 has 20 (74.1%) missing valuesMissing
Unnamed: 1 has unique valuesUnique
Unnamed: 2 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2024-03-14 00:08:47.679524
Analysis finished2024-03-14 00:08:47.877444
Duration0.2 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

2013년 도민소통 체감도 조사
Text

MISSING 

Distinct7
Distinct (%)100.0%
Missing20
Missing (%)74.1%
Memory size348.0 B
2024-03-14T09:08:47.971008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length9.1428571
Min length4

Characters and Unicode

Total characters64
Distinct characters38
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)100.0%

Sample

1st row설문항목
2nd row도정 소식 인지 경로
3rd row소통 체감도
4th row소통이 안 되는 이유
5th row소통 활성화 방안
ValueCountFrequency (%)
소통 2
 
9.5%
소통이 2
 
9.5%
설문항목 1
 
4.8%
활성화 1
 
4.8%
필요한 1
 
4.8%
방법 1
 
4.8%
확대 1
 
4.8%
참여기회 1
 
4.8%
도민 1
 
4.8%
방안 1
 
4.8%
Other values (9) 9
42.9%
2024-03-14T09:08:48.232578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
14
21.9%
소 5
 
7.8%
통 4
 
6.2%
도 3
 
4.7%
이 3
 
4.7%
방 2
 
3.1%
안 2
 
3.1%
설 1
 
1.6%
민 1
 
1.6%
참 1
 
1.6%
Other values (28) 28
43.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 50
78.1%
Space Separator 14
 
21.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
소 5
 
10.0%
통 4
 
8.0%
도 3
 
6.0%
이 3
 
6.0%
방 2
 
4.0%
안 2
 
4.0%
설 1
 
2.0%
민 1
 
2.0%
참 1
 
2.0%
여 1
 
2.0%
Other values (27) 27
54.0%
Space Separator
ValueCountFrequency (%)
14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 50
78.1%
Common 14
 
21.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
소 5
 
10.0%
통 4
 
8.0%
도 3
 
6.0%
이 3
 
6.0%
방 2
 
4.0%
안 2
 
4.0%
설 1
 
2.0%
민 1
 
2.0%
참 1
 
2.0%
여 1
 
2.0%
Other values (27) 27
54.0%
Common
ValueCountFrequency (%)
14
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 50
78.1%
ASCII 14
 
21.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
14
100.0%
Hangul
ValueCountFrequency (%)
소 5
 
10.0%
통 4
 
8.0%
도 3
 
6.0%
이 3
 
6.0%
방 2
 
4.0%
안 2
 
4.0%
설 1
 
2.0%
민 1
 
2.0%
참 1
 
2.0%
여 1
 
2.0%
Other values (27) 27
54.0%

Unnamed: 1
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2024-03-14T09:08:48.403772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length10
Mean length6.7037037
Min length3

Characters and Unicode

Total characters181
Distinct characters85
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)100.0%

Sample

1st row응답내용
2nd rowTV·신문
3rd row인터넷
4th row공무원
5th row가족·친구
ValueCountFrequency (%)
대한 3
 
5.9%
도정에 3
 
5.9%
도정 2
 
3.9%
인터넷 2
 
3.9%
확대 2
 
3.9%
매우 2
 
3.9%
그렇다 2
 
3.9%
도민 2
 
3.9%
아니다 2
 
3.9%
부족 2
 
3.9%
Other values (27) 29
56.9%
2024-03-14T09:08:48.743862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
24
 
13.3%
도 7
 
3.9%
정 5
 
2.8%
대 5
 
2.8%
회 5
 
2.8%
야 4
 
2.2%
다 4
 
2.2%
분 4
 
2.2%
보 4
 
2.2%
족 3
 
1.7%
Other values (75) 116
64.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 151
83.4%
Space Separator 24
 
13.3%
Other Punctuation 4
 
2.2%
Uppercase Letter 2
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
도 7
 
4.6%
정 5
 
3.3%
대 5
 
3.3%
회 5
 
3.3%
야 4
 
2.6%
다 4
 
2.6%
분 4
 
2.6%
보 4
 
2.6%
족 3
 
2.0%
화 3
 
2.0%
Other values (70) 107
70.9%
Other Punctuation
ValueCountFrequency (%)
· 3
75.0%
, 1
 
25.0%
Uppercase Letter
ValueCountFrequency (%)
T 1
50.0%
V 1
50.0%
Space Separator
ValueCountFrequency (%)
24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 151
83.4%
Common 28
 
15.5%
Latin 2
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
도 7
 
4.6%
정 5
 
3.3%
대 5
 
3.3%
회 5
 
3.3%
야 4
 
2.6%
다 4
 
2.6%
분 4
 
2.6%
보 4
 
2.6%
족 3
 
2.0%
화 3
 
2.0%
Other values (70) 107
70.9%
Common
ValueCountFrequency (%)
24
85.7%
· 3
 
10.7%
, 1
 
3.6%
Latin
ValueCountFrequency (%)
T 1
50.0%
V 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 151
83.4%
ASCII 27
 
14.9%
None 3
 
1.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
24
88.9%
, 1
 
3.7%
T 1
 
3.7%
V 1
 
3.7%
Hangul
ValueCountFrequency (%)
도 7
 
4.6%
정 5
 
3.3%
대 5
 
3.3%
회 5
 
3.3%
야 4
 
2.6%
다 4
 
2.6%
분 4
 
2.6%
보 4
 
2.6%
족 3
 
2.0%
화 3
 
2.0%
Other values (70) 107
70.9%
None
ValueCountFrequency (%)
· 3
100.0%

Unnamed: 2
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size348.0 B

Correlations

2024-03-14T09:08:48.824145image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2013년 도민소통 체감도 조사Unnamed: 1
2013년 도민소통 체감도 조사1.0001.000
Unnamed: 11.0001.000

Missing values

2024-03-14T09:08:47.791821image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T09:08:47.852253image/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

2013년 도민소통 체감도 조사Unnamed: 1Unnamed: 2
0설문항목응답내용응 답 률(%)
1도정 소식 인지 경로TV·신문57.8
2<NA>인터넷23.5
3<NA>공무원4
4<NA>가족·친구7.9
5<NA>홍보책자6.7
6소통 체감도매우 그렇다8.5
7<NA>그렇다32.2
8<NA>보 통42.4
9<NA>아니다13.8
2013년 도민소통 체감도 조사Unnamed: 1Unnamed: 2
17<NA>권위적인 공무원의 의식 변화15.2
18<NA>도정에 대한 관심23.6
19도민 참여기회 확대 방법페이스북, 인터넷32.8
20<NA>전화 또는 방문15.7
21<NA>설명회·토론회35.5
22<NA>여론조사15.9
23소통이 필요한 분야사회복지분야34.8
24<NA>민생경제분야42.6
25<NA>농수산업분야15.5
26<NA>문화예술분야7.1