Overview

Dataset statistics

Number of variables8
Number of observations43
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.9 KiB
Average record size in memory68.1 B

Variable types

Categorical4
Text2
Numeric1
DateTime1

Dataset

Description파일 다운로드
Author서울특별시
URLhttps://data.seoul.go.kr/dataList/OA-2742/C/1/datasetView.do

Alerts

조사방식 has constant value ""Constant
자료공개 has constant value ""Constant
상태 has constant value ""Constant
조사제목 has unique valuesUnique
조사기간 has unique valuesUnique
참여인원 has unique valuesUnique

Reproduction

Analysis started2023-12-11 08:32:51.180395
Analysis finished2023-12-11 08:32:51.864257
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct12
Distinct (%)27.9%
Missing0
Missing (%)0.0%
Memory size476.0 B
시정일반
10 
복지건강
7 
환경
6 
홍보
4 
여성/보육
3 
Other values (7)
13 

Length

Max length6
Median length5
Mean length3.627907
Min length2

Unique

Unique4 ?
Unique (%)9.3%

Sample

1st row홍보
2nd row환경
3rd row여성/보육
4th row홍보
5th row시정일반

Common Values

ValueCountFrequency (%)
시정일반 10
23.3%
복지건강 7
16.3%
환경 6
14.0%
홍보 4
 
9.3%
여성/보육 3
 
7.0%
소방/안전 3
 
7.0%
문화/관광 3
 
7.0%
기타 3
 
7.0%
도시계획 1
 
2.3%
주택/건축 1
 
2.3%
Other values (2) 2
 
4.7%

Length

2023-12-11T17:32:51.961420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
시정일반 10
23.3%
복지건강 7
16.3%
환경 6
14.0%
홍보 4
 
9.3%
여성/보육 3
 
7.0%
소방/안전 3
 
7.0%
문화/관광 3
 
7.0%
기타 3
 
7.0%
도시계획 1
 
2.3%
주택/건축 1
 
2.3%
Other values (2) 2
 
4.7%

조사제목
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-11T17:32:52.285132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length26
Mean length22.325581
Min length13

Characters and Unicode

Total characters960
Distinct characters176
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)100.0%

Sample

1st row함께서울 공감캠페인에 대한 온라인 여론조사
2nd row서울시 ‘무장애 친화공원 조성’ 관련 설문조사
3rd row ‘여성의 삶을 바꾸는 서울’ 비전 정책 인지도 조사
4th row서울사랑 독자만족도 조사
5th row서울시 신설 예정부서 명칭 선호도 조사
ValueCountFrequency (%)
온라인 27
 
11.4%
관련 20
 
8.5%
조사 17
 
7.2%
대한 16
 
6.8%
여론조사 13
 
5.5%
패널조사 11
 
4.7%
서울시 10
 
4.2%
패널 9
 
3.8%
및 4
 
1.7%
인지도 4
 
1.7%
Other values (96) 105
44.5%
2023-12-11T17:32:52.817417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
197
20.5%
사 53
 
5.5%
조 45
 
4.7%
인 38
 
4.0%
온 29
 
3.0%
라 29
 
3.0%
시 25
 
2.6%
서 24
 
2.5%
관 23
 
2.4%
울 22
 
2.3%
Other values (166) 475
49.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 741
77.2%
Space Separator 197
 
20.5%
Decimal Number 9
 
0.9%
Uppercase Letter 5
 
0.5%
Other Punctuation 2
 
0.2%
Final Punctuation 2
 
0.2%
Initial Punctuation 2
 
0.2%
Close Punctuation 1
 
0.1%
Open Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
사 53
 
7.2%
조 45
 
6.1%
인 38
 
5.1%
온 29
 
3.9%
라 29
 
3.9%
시 25
 
3.4%
서 24
 
3.2%
관 23
 
3.1%
울 22
 
3.0%
련 21
 
2.8%
Other values (151) 432
58.3%
Decimal Number
ValueCountFrequency (%)
2 3
33.3%
1 2
22.2%
0 2
22.2%
3 1
 
11.1%
5 1
 
11.1%
Uppercase Letter
ValueCountFrequency (%)
I 2
40.0%
E 1
20.0%
L 1
20.0%
C 1
20.0%
Space Separator
ValueCountFrequency (%)
197
100.0%
Other Punctuation
ValueCountFrequency (%)
' 2
100.0%
Final Punctuation
ValueCountFrequency (%)
’ 2
100.0%
Initial Punctuation
ValueCountFrequency (%)
‘ 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 741
77.2%
Common 214
 
22.3%
Latin 5
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
사 53
 
7.2%
조 45
 
6.1%
인 38
 
5.1%
온 29
 
3.9%
라 29
 
3.9%
시 25
 
3.4%
서 24
 
3.2%
관 23
 
3.1%
울 22
 
3.0%
련 21
 
2.8%
Other values (151) 432
58.3%
Common
ValueCountFrequency (%)
197
92.1%
2 3
 
1.4%
1 2
 
0.9%
' 2
 
0.9%
0 2
 
0.9%
’ 2
 
0.9%
‘ 2
 
0.9%
3 1
 
0.5%
) 1
 
0.5%
( 1
 
0.5%
Latin
ValueCountFrequency (%)
I 2
40.0%
E 1
20.0%
L 1
20.0%
C 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 741
77.2%
ASCII 215
 
22.4%
Punctuation 4
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
197
91.6%
2 3
 
1.4%
1 2
 
0.9%
I 2
 
0.9%
' 2
 
0.9%
0 2
 
0.9%
3 1
 
0.5%
) 1
 
0.5%
( 1
 
0.5%
E 1
 
0.5%
Other values (3) 3
 
1.4%
Hangul
ValueCountFrequency (%)
사 53
 
7.2%
조 45
 
6.1%
인 38
 
5.1%
온 29
 
3.9%
라 29
 
3.9%
시 25
 
3.4%
서 24
 
3.2%
관 23
 
3.1%
울 22
 
3.0%
련 21
 
2.8%
Other values (151) 432
58.3%
Punctuation
ValueCountFrequency (%)
’ 2
50.0%
‘ 2
50.0%

조사방식
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
온라인
43 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
온라인 43
100.0%

Length

2023-12-11T17:32:52.986132image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T17:32:53.116083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
온라인 43
100.0%

조사기간
Text

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
2023-12-11T17:32:53.403123image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length35
Mean length35
Min length35

Characters and Unicode

Total characters1505
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique43 ?
Unique (%)100.0%

Sample

1st row2014-12-23 17:30 ~ 2014-12-25 23:59
2nd row2014-12-19 16:00 ~ 2014-12-25 23:59
3rd row2014-12-19 15:00 ~ 2014-12-21 23:59
4th row2014-12-08 16:00 ~ 2014-12-22 23:59
5th row2014-11-25 10:00 ~ 2014-11-30 23:59
ValueCountFrequency (%)
43
20.0%
23:59 39
18.1%
17:00 13
 
6.0%
16:00 7
 
3.3%
15:00 5
 
2.3%
13:00 4
 
1.9%
14:00 4
 
1.9%
18:00 4
 
1.9%
10:00 2
 
0.9%
11:00 2
 
0.9%
Other values (83) 92
42.8%
2023-12-11T17:32:53.936473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 277
18.4%
1 207
13.8%
2 190
12.6%
- 172
11.4%
172
11.4%
4 108
 
7.2%
: 86
 
5.7%
5 60
 
4.0%
3 59
 
3.9%
9 55
 
3.7%
Other values (4) 119
7.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1032
68.6%
Dash Punctuation 172
 
11.4%
Space Separator 172
 
11.4%
Other Punctuation 86
 
5.7%
Math Symbol 43
 
2.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 277
26.8%
1 207
20.1%
2 190
18.4%
4 108
 
10.5%
5 60
 
5.8%
3 59
 
5.7%
9 55
 
5.3%
6 26
 
2.5%
7 25
 
2.4%
8 25
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 172
100.0%
Space Separator
ValueCountFrequency (%)
172
100.0%
Other Punctuation
ValueCountFrequency (%)
: 86
100.0%
Math Symbol
ValueCountFrequency (%)
~ 43
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1505
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 277
18.4%
1 207
13.8%
2 190
12.6%
- 172
11.4%
172
11.4%
4 108
 
7.2%
: 86
 
5.7%
5 60
 
4.0%
3 59
 
3.9%
9 55
 
3.7%
Other values (4) 119
7.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1505
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 277
18.4%
1 207
13.8%
2 190
12.6%
- 172
11.4%
172
11.4%
4 108
 
7.2%
: 86
 
5.7%
5 60
 
4.0%
3 59
 
3.9%
9 55
 
3.7%
Other values (4) 119
7.9%

참여인원
Real number (ℝ)

UNIQUE 

Distinct43
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2229.6977
Minimum331
Maximum2913
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size519.0 B
2023-12-11T17:32:54.113299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum331
5-th percentile1059.3
Q12052
median2356
Q32594.5
95-th percentile2863.8
Maximum2913
Range2582
Interquartile range (IQR)542.5

Descriptive statistics

Standard deviation555.00358
Coefficient of variation (CV)0.24891428
Kurtosis3.365147
Mean2229.6977
Median Absolute Deviation (MAD)296
Skewness-1.6088836
Sum95877
Variance308028.98
MonotonicityNot monotonic
2023-12-11T17:32:54.279339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)
ValueCountFrequency (%)
2044 1
 
2.3%
2865 1
 
2.3%
2379 1
 
2.3%
2799 1
 
2.3%
2667 1
 
2.3%
2913 1
 
2.3%
2672 1
 
2.3%
331 1
 
2.3%
2426 1
 
2.3%
673 1
 
2.3%
Other values (33) 33
76.7%
ValueCountFrequency (%)
331 1
2.3%
673 1
2.3%
1002 1
2.3%
1575 1
2.3%
1659 1
2.3%
1735 1
2.3%
1826 1
2.3%
2003 1
2.3%
2021 1
2.3%
2028 1
2.3%
ValueCountFrequency (%)
2913 1
2.3%
2900 1
2.3%
2865 1
2.3%
2853 1
2.3%
2846 1
2.3%
2799 1
2.3%
2756 1
2.3%
2692 1
2.3%
2672 1
2.3%
2667 1
2.3%

자료공개
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
공개
43 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
공개 43
100.0%

Length

2023-12-11T17:32:54.468165image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T17:32:54.610483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
공개 43
100.0%

상태
Categorical

CONSTANT 

Distinct1
Distinct (%)2.3%
Missing0
Missing (%)0.0%
Memory size476.0 B
완료
43 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
완료 43
100.0%

Length

2023-12-11T17:32:54.733897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T17:32:54.888445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
완료 43
100.0%

등록일
Date

Distinct37
Distinct (%)86.0%
Missing0
Missing (%)0.0%
Memory size476.0 B
Minimum2014-01-06 00:00:00
Maximum2014-12-23 00:00:00
2023-12-11T17:32:55.048826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T17:32:55.261100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=37)

Interactions

2023-12-11T17:32:51.507740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T17:32:55.421403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분조사제목조사기간참여인원등록일
구분1.0001.0001.0000.2820.959
조사제목1.0001.0001.0001.0001.000
조사기간1.0001.0001.0001.0001.000
참여인원0.2821.0001.0001.0000.000
등록일0.9591.0001.0000.0001.000
2023-12-11T17:32:55.561696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
참여인원구분
참여인원1.0000.101
구분0.1011.000

Missing values

2023-12-11T17:32:51.641530image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T17:32:51.807236image/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

구분조사제목조사방식조사기간참여인원자료공개상태등록일
0홍보함께서울 공감캠페인에 대한 온라인 여론조사온라인2014-12-23 17:30 ~ 2014-12-25 23:592044공개완료2014-12-23
1환경서울시 ‘무장애 친화공원 조성’ 관련 설문조사온라인2014-12-19 16:00 ~ 2014-12-25 23:592865공개완료2014-12-19
2여성/보육‘여성의 삶을 바꾸는 서울’ 비전 정책 인지도 조사온라인2014-12-19 15:00 ~ 2014-12-21 23:591826공개완료2014-12-19
3홍보서울사랑 독자만족도 조사온라인2014-12-08 16:00 ~ 2014-12-22 23:592028공개완료2014-12-08
4시정일반서울시 신설 예정부서 명칭 선호도 조사온라인2014-11-25 10:00 ~ 2014-11-30 23:592756공개완료2014-11-24
5복지건강금연도시 서울 사업에 대한 온라인 패널 조사온라인2014-11-21 13:00 ~ 2014-11-26 23:592853공개완료2014-11-21
6소방/안전안전의식도 관련 온라인 패널 조사온라인2014-11-10 13:00 ~ 2014-11-15 23:592692공개완료2014-11-10
7도시계획서울시 도시재생정책 브랜드 명칭 선호도조사온라인2014-11-07 18:30 ~ 2014-11-11 18:002063공개완료2014-11-07
8문화/관광서울시향 클래식 콘서트홀 건립에 대한 여론조사온라인2014-10-29 15:00 ~ 2014-11-02 23:592444공개완료2014-10-28
9시정일반서울시 명예부시장 운영에 대한 여론조사온라인2014-10-24 17:00 ~ 2014-10-27 23:592148공개완료2014-10-24
구분조사제목조사방식조사기간참여인원자료공개상태등록일
33환경소음 관련 온라인 패널조사온라인2014-04-02 15:00 ~ 2014-04-03 09:001002공개완료2014-04-02
34환경시민참여 태양광발전소 건설 관련 온라인 패널조사온라인2014-03-26 17:00 ~ 2014-03-31 23:592189공개완료2014-03-26
35환경원전하나줄이기 2단계 사업에 대한 온라인 여론조사온라인2014-03-12 16:00 ~ 2014-03-16 23:592151공개완료2014-03-11
36시정일반시정간행물 관련 온라인 패널 조사온라인2014-02-17 13:00 ~ 2014-02-23 23:592534공개완료2014-02-17
37복지건강서울시민복지기준 관련 온라인 패널 조사온라인2014-02-11 21:00 ~ 2014-02-16 23:592365공개완료2014-02-11
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