Overview

Dataset statistics

Number of variables6
Number of observations27
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory56.9 B

Variable types

Numeric3
Text1
Categorical1
DateTime1

Dataset

Description광주광역시 패밀리랜드의 놀이기구에 대한 데이터로서 놀이기구명, 설치년도, 종수, 대수의 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15025795/fileData.do

Alerts

종수 has constant value ""Constant
데이터기준일 has constant value ""Constant
연번 is highly overall correlated with 설치년도High correlation
설치년도 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique
기구명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:59:51.794755
Analysis finished2023-12-12 08:59:53.231603
Duration1.44 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14
Minimum1
Maximum27
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T17:59:53.297539image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.3
Q17.5
median14
Q320.5
95-th percentile25.7
Maximum27
Range26
Interquartile range (IQR)13

Descriptive statistics

Standard deviation7.9372539
Coefficient of variation (CV)0.56694671
Kurtosis-1.2
Mean14
Median Absolute Deviation (MAD)7
Skewness0
Sum378
Variance63
MonotonicityStrictly increasing
2023-12-12T17:59:53.463262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=27)
ValueCountFrequency (%)
1 1
 
3.7%
2 1
 
3.7%
27 1
 
3.7%
26 1
 
3.7%
25 1
 
3.7%
24 1
 
3.7%
23 1
 
3.7%
22 1
 
3.7%
21 1
 
3.7%
20 1
 
3.7%
Other values (17) 17
63.0%
ValueCountFrequency (%)
1 1
3.7%
2 1
3.7%
3 1
3.7%
4 1
3.7%
5 1
3.7%
6 1
3.7%
7 1
3.7%
8 1
3.7%
9 1
3.7%
10 1
3.7%
ValueCountFrequency (%)
27 1
3.7%
26 1
3.7%
25 1
3.7%
24 1
3.7%
23 1
3.7%
22 1
3.7%
21 1
3.7%
20 1
3.7%
19 1
3.7%
18 1
3.7%

기구명
Text

UNIQUE 

Distinct27
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size348.0 B
2023-12-12T17:59:53.679913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length7
Mean length4.5925926
Min length3

Characters and Unicode

Total characters124
Distinct characters86
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

Unique27 ?
Unique (%)100.0%

Sample

1st row씽씽보트
2nd row청룡특급
3rd row깜짝마우스
4th row박치기왕
5th row스타워즈
ValueCountFrequency (%)
씽씽보트 1
 
3.7%
개구쟁이차 1
 
3.7%
비바드롭 1
 
3.7%
빅펜듈럼 1
 
3.7%
미니셔틀 1
 
3.7%
대관람차 1
 
3.7%
해피카 1
 
3.7%
rocket팡팡 1
 
3.7%
ufo스윙 1
 
3.7%
왕눈이슬라이드 1
 
3.7%
Other values (17) 17
63.0%
2023-12-12T17:59:54.083452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 7
 
5.6%
스 6
 
4.8%
차 4
 
3.2%
바 4
 
3.2%
타 3
 
2.4%
기 3
 
2.4%
카 3
 
2.4%
마 3
 
2.4%
패 2
 
1.6%
밀 2
 
1.6%
Other values (76) 87
70.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 115
92.7%
Uppercase Letter 9
 
7.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 7
 
6.1%
스 6
 
5.2%
차 4
 
3.5%
바 4
 
3.5%
타 3
 
2.6%
기 3
 
2.6%
카 3
 
2.6%
마 3
 
2.6%
패 2
 
1.7%
밀 2
 
1.7%
Other values (68) 78
67.8%
Uppercase Letter
ValueCountFrequency (%)
O 2
22.2%
C 1
11.1%
U 1
11.1%
F 1
11.1%
R 1
11.1%
K 1
11.1%
E 1
11.1%
T 1
11.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 115
92.7%
Latin 9
 
7.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 7
 
6.1%
스 6
 
5.2%
차 4
 
3.5%
바 4
 
3.5%
타 3
 
2.6%
기 3
 
2.6%
카 3
 
2.6%
마 3
 
2.6%
패 2
 
1.7%
밀 2
 
1.7%
Other values (68) 78
67.8%
Latin
ValueCountFrequency (%)
O 2
22.2%
C 1
11.1%
U 1
11.1%
F 1
11.1%
R 1
11.1%
K 1
11.1%
E 1
11.1%
T 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 115
92.7%
ASCII 9
 
7.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 7
 
6.1%
스 6
 
5.2%
차 4
 
3.5%
바 4
 
3.5%
타 3
 
2.6%
기 3
 
2.6%
카 3
 
2.6%
마 3
 
2.6%
패 2
 
1.7%
밀 2
 
1.7%
Other values (68) 78
67.8%
ASCII
ValueCountFrequency (%)
O 2
22.2%
C 1
11.1%
U 1
11.1%
F 1
11.1%
R 1
11.1%
K 1
11.1%
E 1
11.1%
T 1
11.1%

설치년도
Real number (ℝ)

HIGH CORRELATION 

Distinct11
Distinct (%)40.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2001.963
Minimum1991
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T17:59:54.225846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1991
5-th percentile1991
Q11991
median1997
Q32016.5
95-th percentile2019
Maximum2022
Range31
Interquartile range (IQR)25.5

Descriptive statistics

Standard deviation12.24582
Coefficient of variation (CV)0.0061169065
Kurtosis-1.5873468
Mean2001.963
Median Absolute Deviation (MAD)6
Skewness0.52306282
Sum54053
Variance149.96011
MonotonicityNot monotonic
2023-12-12T17:59:54.375063image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=11)
ValueCountFrequency (%)
1991 12
44.4%
2018 3
 
11.1%
1997 2
 
7.4%
2019 2
 
7.4%
2016 2
 
7.4%
1999 1
 
3.7%
1998 1
 
3.7%
2002 1
 
3.7%
2005 1
 
3.7%
2017 1
 
3.7%
ValueCountFrequency (%)
1991 12
44.4%
1997 2
 
7.4%
1998 1
 
3.7%
1999 1
 
3.7%
2002 1
 
3.7%
2005 1
 
3.7%
2016 2
 
7.4%
2017 1
 
3.7%
2018 3
 
11.1%
2019 2
 
7.4%
ValueCountFrequency (%)
2022 1
 
3.7%
2019 2
7.4%
2018 3
11.1%
2017 1
 
3.7%
2016 2
7.4%
2005 1
 
3.7%
2002 1
 
3.7%
1999 1
 
3.7%
1998 1
 
3.7%
1997 2
7.4%

종수
Categorical

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
1
27 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row1

Common Values

ValueCountFrequency (%)
1 27
100.0%

Length

2023-12-12T17:59:54.517912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:59:54.617299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 27
100.0%

대수
Real number (ℝ)

Distinct14
Distinct (%)51.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean10.333333
Minimum1
Maximum36
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size375.0 B
2023-12-12T17:59:54.728154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median6
Q316
95-th percentile34.2
Maximum36
Range35
Interquartile range (IQR)15

Descriptive statistics

Standard deviation11.39163
Coefficient of variation (CV)1.1024158
Kurtosis0.26757489
Mean10.333333
Median Absolute Deviation (MAD)5
Skewness1.1686988
Sum279
Variance129.76923
MonotonicityNot monotonic
2023-12-12T17:59:54.868988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
1 10
37.0%
6 2
 
7.4%
30 2
 
7.4%
18 2
 
7.4%
36 2
 
7.4%
13 1
 
3.7%
14 1
 
3.7%
3 1
 
3.7%
12 1
 
3.7%
20 1
 
3.7%
Other values (4) 4
 
14.8%
ValueCountFrequency (%)
1 10
37.0%
2 1
 
3.7%
3 1
 
3.7%
6 2
 
7.4%
7 1
 
3.7%
8 1
 
3.7%
10 1
 
3.7%
12 1
 
3.7%
13 1
 
3.7%
14 1
 
3.7%
ValueCountFrequency (%)
36 2
7.4%
30 2
7.4%
20 1
3.7%
18 2
7.4%
14 1
3.7%
13 1
3.7%
12 1
3.7%
10 1
3.7%
8 1
3.7%
7 1
3.7%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size348.0 B
Minimum2023-07-25 00:00:00
Maximum2023-07-25 00:00:00
2023-12-12T17:59:54.983372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:59:55.093006image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T17:59:52.649706image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:59:51.984359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:59:52.302929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:59:52.766995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:59:52.093510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:59:52.410957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:59:52.893603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:59:52.190193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:59:52.530553image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:59:55.171951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번기구명설치년도대수
연번1.0001.0000.8720.632
기구명1.0001.0001.0001.000
설치년도0.8721.0001.0000.496
대수0.6321.0000.4961.000
2023-12-12T17:59:55.266302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번설치년도대수
연번1.0000.839-0.135
설치년도0.8391.0000.025
대수-0.1350.0251.000

Missing values

2023-12-12T17:59:53.078792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:59:53.189736image/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

연번기구명설치년도종수대수데이터기준일
01씽씽보트19911132023-07-25
12청룡특급1991162023-07-25
23깜짝마우스1991162023-07-25
34박치기왕19911302023-07-25
45스타워즈19911142023-07-25
56패밀리열차1991132023-07-25
67패밀리목마19911302023-07-25
78타임머신1991112023-07-25
89꼬마비행기19911122023-07-25
910타가디스코1997112023-07-25
연번기구명설치년도종수대수데이터기준일
1718미니바이킹2005112023-07-25
1819왕눈이슬라이드1991112023-07-25
1920UFO스윙2016112023-07-25
2021ROCKET팡팡2016112023-07-25
2122해피카2017182023-07-25
2223대관람차20181362023-07-25
2324미니셔틀20181102023-07-25
2425빅펜듈럼20181182023-07-25
2526비바드롭2022112023-07-25
2627쌈바벌룬2019172023-07-25