Overview

Dataset statistics

Number of variables3
Number of observations174
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.4 KiB
Average record size in memory25.8 B

Variable types

Categorical1
Text1
Numeric1

Dataset

Description충청남도 청양군에 설치되어있는 휴게쉼터 현황 정보 중 정자가 어디에 위치해 있는지 각 읍면별로 표시하고 몇개가 설치되어있는지에 대해 데이터 제공합니다.
Author충청남도 청양군
URLhttps://www.data.go.kr/data/15113406/fileData.do

Alerts

구분 has constant value ""Constant

Reproduction

Analysis started2024-05-18 09:00:05.135345
Analysis finished2024-05-18 09:00:07.200659
Duration2.07 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
정자
174 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정자 174
100.0%

Length

2024-05-18T18:00:07.584488image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-05-18T18:00:08.108364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정자 174
100.0%

위치
Text

Distinct171
Distinct (%)98.3%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-05-18T18:00:09.071620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.844828
Min length11

Characters and Unicode

Total characters2061
Distinct characters117
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique168 ?
Unique (%)96.6%

Sample

1st row청양군 청양읍 벽천1리
2nd row청양군 청양읍 교월1리
3rd row청양군 청양읍 교월3리
4th row청양군 청양읍 읍내2리
5th row청양군 청양읍 읍내3리
ValueCountFrequency (%)
청양군 174
33.4%
남양면 24
 
4.6%
정산면 21
 
4.0%
청양읍 19
 
3.6%
장평면 17
 
3.3%
청남면 17
 
3.3%
대치면 17
 
3.3%
운곡면 16
 
3.1%
비봉면 14
 
2.7%
목면 14
 
2.7%
Other values (172) 188
36.1%
2024-05-18T18:00:10.941933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
398
19.3%
양 224
10.9%
청 214
 
10.4%
군 175
 
8.5%
리 174
 
8.4%
면 155
 
7.5%
2 53
 
2.6%
1 51
 
2.5%
남 43
 
2.1%
정 34
 
1.6%
Other values (107) 540
26.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1552
75.3%
Space Separator 398
 
19.3%
Decimal Number 111
 
5.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
양 224
14.4%
청 214
13.8%
군 175
 
11.3%
리 174
 
11.2%
면 155
 
10.0%
남 43
 
2.8%
정 34
 
2.2%
산 32
 
2.1%
곡 29
 
1.9%
대 27
 
1.7%
Other values (102) 445
28.7%
Decimal Number
ValueCountFrequency (%)
2 53
47.7%
1 51
45.9%
3 6
 
5.4%
4 1
 
0.9%
Space Separator
ValueCountFrequency (%)
398
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1552
75.3%
Common 509
 
24.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
양 224
14.4%
청 214
13.8%
군 175
 
11.3%
리 174
 
11.2%
면 155
 
10.0%
남 43
 
2.8%
정 34
 
2.2%
산 32
 
2.1%
곡 29
 
1.9%
대 27
 
1.7%
Other values (102) 445
28.7%
Common
ValueCountFrequency (%)
398
78.2%
2 53
 
10.4%
1 51
 
10.0%
3 6
 
1.2%
4 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1552
75.3%
ASCII 509
 
24.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
398
78.2%
2 53
 
10.4%
1 51
 
10.0%
3 6
 
1.2%
4 1
 
0.2%
Hangul
ValueCountFrequency (%)
양 224
14.4%
청 214
13.8%
군 175
 
11.3%
리 174
 
11.2%
면 155
 
10.0%
남 43
 
2.8%
정 34
 
2.2%
산 32
 
2.1%
곡 29
 
1.9%
대 27
 
1.7%
Other values (102) 445
28.7%

설치동수
Real number (ℝ)

Distinct7
Distinct (%)4.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.4310345
Minimum1
Maximum7
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2024-05-18T18:00:11.377589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q11
median2
Q33
95-th percentile5
Maximum7
Range6
Interquartile range (IQR)2

Descriptive statistics

Standard deviation1.3139369
Coefficient of variation (CV)0.54048468
Kurtosis0.60413986
Mean2.4310345
Median Absolute Deviation (MAD)1
Skewness0.92505124
Sum423
Variance1.7264301
MonotonicityNot monotonic
2024-05-18T18:00:11.931201image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2 54
31.0%
1 49
28.2%
3 36
20.7%
4 24
13.8%
5 5
 
2.9%
6 5
 
2.9%
7 1
 
0.6%
ValueCountFrequency (%)
1 49
28.2%
2 54
31.0%
3 36
20.7%
4 24
13.8%
5 5
 
2.9%
6 5
 
2.9%
7 1
 
0.6%
ValueCountFrequency (%)
7 1
 
0.6%
6 5
 
2.9%
5 5
 
2.9%
4 24
13.8%
3 36
20.7%
2 54
31.0%
1 49
28.2%

Interactions

2024-05-18T18:00:05.960229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-05-18T18:00:06.716750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-05-18T18:00:07.047632image/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

구분위치설치동수
0정자청양군 청양읍 벽천1리2
1정자청양군 청양읍 교월1리2
2정자청양군 청양읍 교월3리2
3정자청양군 청양읍 읍내2리4
4정자청양군 청양읍 읍내3리1
5정자청양군 청양읍 읍내4리1
6정자청양군 청양읍 군량리1
7정자청양군 청양읍 청수1리5
8정자청양군 청양읍 청수2리3
9정자청양군 청양읍 장승2리3
구분위치설치동수
164정자청양군 비봉면 녹평2리4
165정자청양군 비봉면 장재리4
166정자청양군 비봉면 강정리4
167정자청양군 비봉면 양사1리2
168정자청양군 비봉면 용천리4
169정자청양군 비봉면 방한1리2
170정자청양군 비봉면 방한2리3
171정자청양군 비봉면 사점리1
172정자청양군 비봉면 록평1리2
173정자청양군 비봉면 양사2리2