Overview

Dataset statistics

Number of variables2
Number of observations46
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory914.0 B
Average record size in memory19.9 B

Variable types

Text1
Numeric1

Dataset

Description해남군에서 관리하는 주차장에 설치된 장애인전용주차구역에 대한 데이터로 주차장명과 장애인전용주차구역 설치면수를 제공합니다.
Author전라남도 해남군
URLhttps://www.data.go.kr/data/15106937/fileData.do

Alerts

주차장면수 has 19 (41.3%) zerosZeros

Reproduction

Analysis started2023-12-12 00:45:14.352380
Analysis finished2023-12-12 00:45:14.945435
Duration0.59 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

주차장명
Text

Distinct45
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size500.0 B
2023-12-12T09:45:15.182344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length8.326087
Min length4

Characters and Unicode

Total characters383
Distinct characters85
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

Unique44 ?
Unique (%)95.7%

Sample

1st row해남터미널 뒤
2nd row터미널 옆 선관위부지
3rd row버스터미널 인근
4th row복음내과 앞
5th row해리3 공영주차장
ValueCountFrequency (%)
공영주차장 29
31.2%
옆 6
 
6.5%
앞 3
 
3.2%
남외 2
 
2.2%
황산면 2
 
2.2%
뒤 2
 
2.2%
맞은편 2
 
2.2%
복음내과 1
 
1.1%
읍사무소 1
 
1.1%
남외2 1
 
1.1%
Other values (44) 44
47.3%
2023-12-12T09:45:15.658568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
47
 
12.3%
차 30
 
7.8%
공 29
 
7.6%
영 29
 
7.6%
주 29
 
7.6%
장 29
 
7.6%
면 10
 
2.6%
남 9
 
2.3%
해 9
 
2.3%
리 8
 
2.1%
Other values (75) 154
40.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 323
84.3%
Space Separator 47
 
12.3%
Decimal Number 13
 
3.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
차 30
 
9.3%
공 29
 
9.0%
영 29
 
9.0%
주 29
 
9.0%
장 29
 
9.0%
면 10
 
3.1%
남 9
 
2.8%
해 9
 
2.8%
리 8
 
2.5%
성 6
 
1.9%
Other values (70) 135
41.8%
Decimal Number
ValueCountFrequency (%)
2 6
46.2%
4 3
23.1%
5 2
 
15.4%
3 2
 
15.4%
Space Separator
ValueCountFrequency (%)
47
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 323
84.3%
Common 60
 
15.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
차 30
 
9.3%
공 29
 
9.0%
영 29
 
9.0%
주 29
 
9.0%
장 29
 
9.0%
면 10
 
3.1%
남 9
 
2.8%
해 9
 
2.8%
리 8
 
2.5%
성 6
 
1.9%
Other values (70) 135
41.8%
Common
ValueCountFrequency (%)
47
78.3%
2 6
 
10.0%
4 3
 
5.0%
5 2
 
3.3%
3 2
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 323
84.3%
ASCII 60
 
15.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
47
78.3%
2 6
 
10.0%
4 3
 
5.0%
5 2
 
3.3%
3 2
 
3.3%
Hangul
ValueCountFrequency (%)
차 30
 
9.3%
공 29
 
9.0%
영 29
 
9.0%
주 29
 
9.0%
장 29
 
9.0%
면 10
 
3.1%
남 9
 
2.8%
해 9
 
2.8%
리 8
 
2.5%
성 6
 
1.9%
Other values (70) 135
41.8%

주차장면수
Real number (ℝ)

ZEROS 

Distinct7
Distinct (%)15.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.173913
Minimum0
Maximum50
Zeros19
Zeros (%)41.3%
Negative0
Negative (%)0.0%
Memory size546.0 B
2023-12-12T09:45:15.827032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median1
Q32
95-th percentile4
Maximum50
Range50
Interquartile range (IQR)2

Descriptive statistics

Standard deviation7.3190903
Coefficient of variation (CV)3.3667815
Kurtosis43.090862
Mean2.173913
Median Absolute Deviation (MAD)1
Skewness6.4715423
Sum100
Variance53.569082
MonotonicityNot monotonic
2023-12-12T09:45:15.976555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
0 19
41.3%
1 12
26.1%
2 8
17.4%
3 3
 
6.5%
4 2
 
4.3%
5 1
 
2.2%
50 1
 
2.2%
ValueCountFrequency (%)
0 19
41.3%
1 12
26.1%
2 8
17.4%
3 3
 
6.5%
4 2
 
4.3%
5 1
 
2.2%
50 1
 
2.2%
ValueCountFrequency (%)
50 1
 
2.2%
5 1
 
2.2%
4 2
 
4.3%
3 3
 
6.5%
2 8
17.4%
1 12
26.1%
0 19
41.3%

Interactions

2023-12-12T09:45:14.506983image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T09:45:16.077421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
주차장명주차장면수
주차장명1.0001.000
주차장면수1.0001.000

Missing values

2023-12-12T09:45:14.746310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T09:45:14.887330image/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

주차장명주차장면수
0해남터미널 뒤3
1터미널 옆 선관위부지0
2버스터미널 인근0
3복음내과 앞0
4해리3 공영주차장2
5신동백아파트 뒤0
6미암사거리0
7해리 공영주차장3
8해리4 공영주차장2
9해리5 공영주차장0
주차장명주차장면수
36현산면 공영주차장2
37송지면 공영주차장1
38옥천면 공영주차장5
39옥천면2 공영주차장1
40황산면 공영주차장2
41황산면2 공영주차장2
42황산면 우항리 공영주차장0
43문내면 공영주차장4
44화원면 공영주차장1
4545개소50