Overview

Dataset statistics

Number of variables4
Number of observations213
Missing cells30
Missing cells (%)3.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.2 KiB
Average record size in memory34.6 B

Variable types

Categorical2
Text1
Numeric1

Dataset

Description제주특별자치도 향후 1년 동안 가장 이용하고 싶은 여가 공간 조사 데이터로, 2018년에서 2020년까지 제주특별자치도 내 향후 1년 동안 가장 이용하고 싶은 여가 공간에 따른 응답자 비율 정보를 제공합니다.
Author제주특별자치도
URLhttps://www.data.go.kr/data/15096982/fileData.do

Alerts

시도 has constant value ""Constant
응답률 has 30 (14.1%) missing valuesMissing
응답률 has 5 (2.3%) zerosZeros

Reproduction

Analysis started2023-12-12 00:43:05.462996
Analysis finished2023-12-12 00:43:05.792642
Duration0.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Categorical

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2018
71 
2019
71 
2020
71 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2018
2nd row2018
3rd row2018
4th row2018
5th row2018

Common Values

ValueCountFrequency (%)
2018 71
33.3%
2019 71
33.3%
2020 71
33.3%

Length

2023-12-12T09:43:05.844827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:43:05.936891image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2018 71
33.3%
2019 71
33.3%
2020 71
33.3%

시도
Categorical

CONSTANT 

Distinct1
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
제주
213 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
제주 213
100.0%

Length

2023-12-12T09:43:06.035095image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T09:43:06.122041image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
제주 213
100.0%

구분
Text

Distinct71
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-12T09:43:06.336083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length9
Mean length4.4084507
Min length1

Characters and Unicode

Total characters939
Distinct characters127
Distinct categories4 ?
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 row식당
2nd row산
3rd row카페
4th row생활권 공원
5th row영화관
ValueCountFrequency (%)
복합 6
 
2.4%
기타 6
 
2.4%
클럽 3
 
1.2%
대형서점 3
 
1.2%
사설문화센터 3
 
1.2%
동물원 3
 
1.2%
전시관 3
 
1.2%
생활문화센터 3
 
1.2%
미술관 3
 
1.2%
학교운동장 3
 
1.2%
Other values (70) 210
85.4%
2023-12-12T09:43:06.684695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
장 48
 
5.1%
관 48
 
5.1%
33
 
3.5%
시 24
 
2.6%
화 24
 
2.6%
문 21
 
2.2%
원 21
 
2.2%
기 21
 
2.2%
체 18
 
1.9%
공 18
 
1.9%
Other values (117) 663
70.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 891
94.9%
Space Separator 33
 
3.5%
Other Punctuation 9
 
1.0%
Uppercase Letter 6
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 48
 
5.4%
관 48
 
5.4%
시 24
 
2.7%
화 24
 
2.7%
문 21
 
2.4%
원 21
 
2.4%
기 21
 
2.4%
체 18
 
2.0%
공 18
 
2.0%
터 18
 
2.0%
Other values (113) 630
70.7%
Uppercase Letter
ValueCountFrequency (%)
P 3
50.0%
C 3
50.0%
Space Separator
ValueCountFrequency (%)
33
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 891
94.9%
Common 42
 
4.5%
Latin 6
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 48
 
5.4%
관 48
 
5.4%
시 24
 
2.7%
화 24
 
2.7%
문 21
 
2.4%
원 21
 
2.4%
기 21
 
2.4%
체 18
 
2.0%
공 18
 
2.0%
터 18
 
2.0%
Other values (113) 630
70.7%
Common
ValueCountFrequency (%)
33
78.6%
/ 9
 
21.4%
Latin
ValueCountFrequency (%)
P 3
50.0%
C 3
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 891
94.9%
ASCII 48
 
5.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
장 48
 
5.4%
관 48
 
5.4%
시 24
 
2.7%
화 24
 
2.7%
문 21
 
2.4%
원 21
 
2.4%
기 21
 
2.4%
체 18
 
2.0%
공 18
 
2.0%
터 18
 
2.0%
Other values (113) 630
70.7%
ASCII
ValueCountFrequency (%)
33
68.8%
/ 9
 
18.8%
P 3
 
6.2%
C 3
 
6.2%

응답률
Real number (ℝ)

MISSING  ZEROS 

Distinct86
Distinct (%)47.0%
Missing30
Missing (%)14.1%
Infinite0
Infinite (%)0.0%
Mean4.884153
Minimum0
Maximum34.5
Zeros5
Zeros (%)2.3%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T09:43:06.813185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0.32
Q11.6
median3.2
Q36.1
95-th percentile13.26
Maximum34.5
Range34.5
Interquartile range (IQR)4.5

Descriptive statistics

Standard deviation5.2807675
Coefficient of variation (CV)1.0812044
Kurtosis10.169644
Mean4.884153
Median Absolute Deviation (MAD)2.1
Skewness2.6797706
Sum893.8
Variance27.886506
MonotonicityNot monotonic
2023-12-12T09:43:06.944028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
2.1 7
 
3.3%
0.0 5
 
2.3%
2.4 5
 
2.3%
0.6 5
 
2.3%
2.2 5
 
2.3%
1.1 5
 
2.3%
6.1 4
 
1.9%
2.0 4
 
1.9%
1.0 4
 
1.9%
5.0 4
 
1.9%
Other values (76) 135
63.4%
(Missing) 30
 
14.1%
ValueCountFrequency (%)
0.0 5
2.3%
0.1 2
 
0.9%
0.2 2
 
0.9%
0.3 1
 
0.5%
0.5 4
1.9%
0.6 5
2.3%
0.7 4
1.9%
0.8 1
 
0.5%
0.9 3
1.4%
1.0 4
1.9%
ValueCountFrequency (%)
34.5 1
0.5%
33.4 1
0.5%
25.1 1
0.5%
19.6 1
0.5%
18.5 1
0.5%
17.6 1
0.5%
16.7 1
0.5%
16.6 1
0.5%
15.7 1
0.5%
13.3 1
0.5%

Interactions

2023-12-12T09:43:05.589406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:43:07.056117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도구분응답률
연도1.0000.0000.086
구분0.0001.0000.000
응답률0.0860.0001.000
2023-12-12T09:43:07.145678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
응답률연도
응답률1.0000.051
연도0.0511.000

Missing values

2023-12-12T09:43:05.695549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:43:05.764367image/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

연도시도구분응답률
02018제주식당3.4
12018제주산16.7
22018제주카페0.0
32018제주생활권 공원11.0
42018제주영화관25.1
52018제주삼림욕장5.7
62018제주역사/문화유적지10.6
72018제주캠핑장7.7
82018제주테마파크9.6
92018제주쇼핑몰6.7
연도시도구분응답률
2032020제주만화방<NA>
2042020제주수족관<NA>
2052020제주경마/경정/경륜장<NA>
2062020제주빙상경기장<NA>
2072020제주청소년수련관<NA>
2082020제주기념관<NA>
2092020제주농어촌 복합 체육시설<NA>
2102020제주문화의 집<NA>
2112020제주지방문화원<NA>
2122020제주커피숍<NA>