Overview

Dataset statistics

Number of variables5
Number of observations26
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory46.1 B

Variable types

Categorical2
Text1
Numeric1
DateTime1

Dataset

Description울산광역시 중구에 소재하는 동천체육관의 시설현황 데이터를 용도, 면적(제곱미터), 층별 항목으로 데이터 제공합니다.
URLhttps://www.data.go.kr/data/15087230/fileData.do

Alerts

시설명 has constant value ""Constant
기준일자 has constant value ""Constant
면적(제곱미터) has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:21:11.964082
Analysis finished2023-12-12 23:21:12.345418
Duration0.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

시설명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
동천체육관
26 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동천체육관 26
100.0%

Length

2023-12-13T08:21:12.413602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:21:12.511896image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동천체육관 26
100.0%

용도별
Text

Distinct25
Distinct (%)96.2%
Missing0
Missing (%)0.0%
Memory size340.0 B
2023-12-13T08:21:12.691699image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length5.6538462
Min length3

Characters and Unicode

Total characters147
Distinct characters78
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)92.3%

Sample

1st row기계실
2nd row전기실
3rd row발전기실
4th row연습실
5th row경기장
ValueCountFrequency (%)
검도협회 2
 
6.2%
장애인 2
 
6.2%
훈련장 2
 
6.2%
연습실 1
 
3.1%
경기장 1
 
3.1%
자원봉사센터 1
 
3.1%
울산광역시 1
 
3.1%
2층스탠드 1
 
3.1%
방송실 1
 
3.1%
음향조명조정실 1
 
3.1%
Other values (19) 19
59.4%
2023-12-13T08:21:13.088772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
실 13
 
8.8%
장 7
 
4.8%
6
 
4.1%
기 5
 
3.4%
스 4
 
2.7%
협 4
 
2.7%
회 4
 
2.7%
전 3
 
2.0%
련 3
 
2.0%
훈 3
 
2.0%
Other values (68) 95
64.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 131
89.1%
Space Separator 6
 
4.1%
Close Punctuation 2
 
1.4%
Open Punctuation 2
 
1.4%
Decimal Number 2
 
1.4%
Uppercase Letter 2
 
1.4%
Other Punctuation 1
 
0.7%
Control 1
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
실 13
 
9.9%
장 7
 
5.3%
기 5
 
3.8%
스 4
 
3.1%
협 4
 
3.1%
회 4
 
3.1%
전 3
 
2.3%
련 3
 
2.3%
훈 3
 
2.3%
도 3
 
2.3%
Other values (59) 82
62.6%
Decimal Number
ValueCountFrequency (%)
1 1
50.0%
2 1
50.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%
Control
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 131
89.1%
Common 14
 
9.5%
Latin 2
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
실 13
 
9.9%
장 7
 
5.3%
기 5
 
3.8%
스 4
 
3.1%
협 4
 
3.1%
회 4
 
3.1%
전 3
 
2.3%
련 3
 
2.3%
훈 3
 
2.3%
도 3
 
2.3%
Other values (59) 82
62.6%
Common
ValueCountFrequency (%)
6
42.9%
) 2
 
14.3%
( 2
 
14.3%
1 1
 
7.1%
2 1
 
7.1%
, 1
 
7.1%
1
 
7.1%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 131
89.1%
ASCII 16
 
10.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
실 13
 
9.9%
장 7
 
5.3%
기 5
 
3.8%
스 4
 
3.1%
협 4
 
3.1%
회 4
 
3.1%
전 3
 
2.3%
련 3
 
2.3%
훈 3
 
2.3%
도 3
 
2.3%
Other values (59) 82
62.6%
ASCII
ValueCountFrequency (%)
6
37.5%
) 2
 
12.5%
( 2
 
12.5%
1 1
 
6.2%
2 1
 
6.2%
, 1
 
6.2%
B 1
 
6.2%
A 1
 
6.2%
1
 
6.2%

면적(제곱미터)
Real number (ℝ)

UNIQUE 

Distinct26
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean468.51385
Minimum9.44
Maximum2085.6
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size366.0 B
2023-12-13T08:21:13.260836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum9.44
5-th percentile12.5825
Q177.4525
median312.56
Q3609.515
95-th percentile1368.4275
Maximum2085.6
Range2076.16
Interquartile range (IQR)532.0625

Descriptive statistics

Standard deviation511.90829
Coefficient of variation (CV)1.0926215
Kurtosis2.8394948
Mean468.51385
Median Absolute Deviation (MAD)262.205
Skewness1.6475568
Sum12181.36
Variance262050.1
MonotonicityNot monotonic
2023-12-13T08:21:13.376177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)
ValueCountFrequency (%)
441.21 1
 
3.8%
623.78 1
 
3.8%
164.02 1
 
3.8%
1402.44 1
 
3.8%
9.44 1
 
3.8%
27.82 1
 
3.8%
11.98 1
 
3.8%
14.39 1
 
3.8%
1266.39 1
 
3.8%
566.72 1
 
3.8%
Other values (16) 16
61.5%
ValueCountFrequency (%)
9.44 1
3.8%
11.98 1
3.8%
14.39 1
3.8%
27.82 1
3.8%
31.19 1
3.8%
42.31 1
3.8%
66.99 1
3.8%
108.84 1
3.8%
164.02 1
3.8%
211.04 1
3.8%
ValueCountFrequency (%)
2085.6 1
3.8%
1402.44 1
3.8%
1266.39 1
3.8%
941.48 1
3.8%
902.03 1
3.8%
885.67 1
3.8%
623.78 1
3.8%
566.72 1
3.8%
538.69 1
3.8%
441.21 1
3.8%

층별
Categorical

Distinct6
Distinct (%)23.1%
Missing0
Missing (%)0.0%
Memory size340.0 B
1층 옥외
10 
지하1층
5 
지상2층
5 
지하2층
4 
지상1층
 
1

Length

Max length5
Median length5
Mean length4.5
Min length2

Unique

Unique2 ?
Unique (%)7.7%

Sample

1st row지하2층
2nd row지하2층
3rd row지하2층
4th row지하2층
5th row지하1층

Common Values

ValueCountFrequency (%)
1층 옥외 10
38.5%
지하1층 5
19.2%
지상2층 5
19.2%
지하2층 4
 
15.4%
지상1층 1
 
3.8%
옥외 1
 
3.8%

Length

2023-12-13T08:21:13.538284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:21:13.686308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
옥외 11
30.6%
1층 10
27.8%
지하1층 5
13.9%
지상2층 5
13.9%
지하2층 4
 
11.1%
지상1층 1
 
2.8%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size340.0 B
Minimum2023-07-17 00:00:00
Maximum2023-07-17 00:00:00
2023-12-13T08:21:13.800436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:21:13.903796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T08:21:12.099531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:21:13.983043image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
용도별면적(제곱미터)층별
용도별1.0001.0001.000
면적(제곱미터)1.0001.0000.810
층별1.0000.8101.000
2023-12-13T08:21:14.373880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
면적(제곱미터)층별
면적(제곱미터)1.0000.410
층별0.4101.000

Missing values

2023-12-13T08:21:12.204164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:21:12.303007image/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

시설명용도별면적(제곱미터)층별기준일자
0동천체육관기계실441.21지하2층2023-07-17
1동천체육관전기실305.75지하2층2023-07-17
2동천체육관발전기실66.99지하2층2023-07-17
3동천체육관연습실538.69지하2층2023-07-17
4동천체육관경기장2085.6지하1층2023-07-17
5동천체육관귀빈실31.19지하1층2023-07-17
6동천체육관중앙감시실42.31지하1층2023-07-17
7동천체육관관리실108.84지하1층2023-07-17
8동천체육관선수대기실211.04지하1층2023-07-17
9동천체육관옥외휴게소(A)885.671층 옥외2023-07-17
시설명용도별면적(제곱미터)층별기준일자
16동천체육관울산시 태권도협회902.031층 옥외2023-07-17
17동천체육관장애인 댄스스포츠 훈련장330.211층 옥외2023-07-17
18동천체육관펜싱훈련장566.721층 옥외2023-07-17
19동천체육관1층스탠드1266.39지상1층2023-07-17
20동천체육관사진판독실14.39지상2층2023-07-17
21동천체육관전광판조작실11.98지상2층2023-07-17
22동천체육관음향조명조정실27.82지상2층2023-07-17
23동천체육관방송실9.44지상2층2023-07-17
24동천체육관2층스탠드1402.44지상2층2023-07-17
25동천체육관화장실164.02옥외2023-07-17