Overview

Dataset statistics

Number of variables6
Number of observations22
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory55.0 B

Variable types

Numeric1
Text1
DateTime3
Categorical1

Dataset

Description울산시설공단에서 관리하는 문수체육관 대관 신청 현황 데이터를 접수번호, 사용목적, 대관시작일, 대관종료일 등 항목으로 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15116349/fileData.do

Alerts

사용시설 is highly imbalanced (73.3%)Imbalance
접수번호 has unique valuesUnique
대관시작일 has unique valuesUnique
대관종료일 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:32:28.506141
Analysis finished2023-12-12 23:32:28.946779
Duration0.44 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

접수번호
Real number (ℝ)

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20230012
Minimum20230001
Maximum20230022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size330.0 B
2023-12-13T08:32:29.005951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum20230001
5-th percentile20230002
Q120230006
median20230012
Q320230017
95-th percentile20230021
Maximum20230022
Range21
Interquartile range (IQR)10.5

Descriptive statistics

Standard deviation6.4935866
Coefficient of variation (CV)3.2098778 × 10-7
Kurtosis-1.2
Mean20230012
Median Absolute Deviation (MAD)5.5
Skewness0
Sum4.4506025 × 108
Variance42.166667
MonotonicityStrictly increasing
2023-12-13T08:32:29.123490image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)
ValueCountFrequency (%)
20230001 1
 
4.5%
20230013 1
 
4.5%
20230022 1
 
4.5%
20230021 1
 
4.5%
20230020 1
 
4.5%
20230019 1
 
4.5%
20230018 1
 
4.5%
20230017 1
 
4.5%
20230016 1
 
4.5%
20230015 1
 
4.5%
Other values (12) 12
54.5%
ValueCountFrequency (%)
20230001 1
4.5%
20230002 1
4.5%
20230003 1
4.5%
20230004 1
4.5%
20230005 1
4.5%
20230006 1
4.5%
20230007 1
4.5%
20230008 1
4.5%
20230009 1
4.5%
20230010 1
4.5%
ValueCountFrequency (%)
20230022 1
4.5%
20230021 1
4.5%
20230020 1
4.5%
20230019 1
4.5%
20230018 1
4.5%
20230017 1
4.5%
20230016 1
4.5%
20230015 1
4.5%
20230014 1
4.5%
20230013 1
4.5%

사용목적
Text

Distinct16
Distinct (%)72.7%
Missing0
Missing (%)0.0%
Memory size308.0 B
2023-12-13T08:32:29.294524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length5.4545455
Min length3

Characters and Unicode

Total characters120
Distinct characters53
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

Unique12 ?
Unique (%)54.5%

Sample

1st row박람회
2nd row농구대회
3rd row탁구대회
4th row탁구대회
5th row태권도대회
ValueCountFrequency (%)
탁구대회 3
 
12.5%
배드민턴대회 3
 
12.5%
태권도대회 2
 
8.3%
장애인행사 2
 
8.3%
리듬체조대회 1
 
4.2%
배구대회 1
 
4.2%
피정대회 1
 
4.2%
공적가족 1
 
4.2%
시민생활대축전 1
 
4.2%
어르신생활체육대축전 1
 
4.2%
Other values (8) 8
33.3%
2023-12-13T08:32:29.618921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
대 16
 
13.3%
회 15
 
12.5%
구 5
 
4.2%
행 4
 
3.3%
배 4
 
3.3%
민 4
 
3.3%
사 4
 
3.3%
탁 3
 
2.5%
어 3
 
2.5%
턴 3
 
2.5%
Other values (43) 59
49.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 118
98.3%
Space Separator 2
 
1.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 16
 
13.6%
회 15
 
12.7%
구 5
 
4.2%
행 4
 
3.4%
배 4
 
3.4%
민 4
 
3.4%
사 4
 
3.4%
탁 3
 
2.5%
어 3
 
2.5%
턴 3
 
2.5%
Other values (42) 57
48.3%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 118
98.3%
Common 2
 
1.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 16
 
13.6%
회 15
 
12.7%
구 5
 
4.2%
행 4
 
3.4%
배 4
 
3.4%
민 4
 
3.4%
사 4
 
3.4%
탁 3
 
2.5%
어 3
 
2.5%
턴 3
 
2.5%
Other values (42) 57
48.3%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 118
98.3%
ASCII 2
 
1.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
대 16
 
13.6%
회 15
 
12.7%
구 5
 
4.2%
행 4
 
3.4%
배 4
 
3.4%
민 4
 
3.4%
사 4
 
3.4%
탁 3
 
2.5%
어 3
 
2.5%
턴 3
 
2.5%
Other values (42) 57
48.3%
ASCII
ValueCountFrequency (%)
2
100.0%

대관시작일
Date

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2023-01-11 00:00:00
Maximum2023-06-24 00:00:00
2023-12-13T08:32:29.774909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:32:29.915615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

대관종료일
Date

UNIQUE 

Distinct22
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2023-01-15 00:00:00
Maximum2023-06-24 00:00:00
2023-12-13T08:32:30.064902image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:32:30.188512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=22)

사용시설
Categorical

IMBALANCE 

Distinct2
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Memory size308.0 B
문수체육관 실내체육관
21 
문수체육관 라켓볼장
 
1

Length

Max length11
Median length11
Mean length10.954545
Min length10

Unique

Unique1 ?
Unique (%)4.5%

Sample

1st row문수체육관 실내체육관
2nd row문수체육관 실내체육관
3rd row문수체육관 실내체육관
4th row문수체육관 실내체육관
5th row문수체육관 실내체육관

Common Values

ValueCountFrequency (%)
문수체육관 실내체육관 21
95.5%
문수체육관 라켓볼장 1
 
4.5%

Length

2023-12-13T08:32:30.338833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:32:30.461915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
문수체육관 22
50.0%
실내체육관 21
47.7%
라켓볼장 1
 
2.3%

신청일
Date

Distinct18
Distinct (%)81.8%
Missing0
Missing (%)0.0%
Memory size308.0 B
Minimum2022-12-05 00:00:00
Maximum2023-06-12 00:00:00
2023-12-13T08:32:30.592338image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:32:30.739587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)

Interactions

2023-12-13T08:32:28.693489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:32:30.838714image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
접수번호사용목적대관시작일대관종료일사용시설신청일
접수번호1.0000.7291.0001.0000.0000.913
사용목적0.7291.0001.0001.0001.0000.761
대관시작일1.0001.0001.0001.0001.0001.000
대관종료일1.0001.0001.0001.0001.0001.000
사용시설0.0001.0001.0001.0001.0000.000
신청일0.9130.7611.0001.0000.0001.000
2023-12-13T08:32:30.957312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
접수번호사용시설
접수번호1.0000.000
사용시설0.0001.000

Missing values

2023-12-13T08:32:28.798056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:32:28.910454image/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

접수번호사용목적대관시작일대관종료일사용시설신청일
020230001박람회2023-01-112023-01-15문수체육관 실내체육관2022-12-05
120230002농구대회2023-02-112023-02-12문수체육관 실내체육관2023-01-27
220230003탁구대회2023-02-242023-02-26문수체육관 실내체육관2023-02-06
320230004탁구대회2023-03-022023-03-05문수체육관 실내체육관2023-02-24
420230005태권도대회2023-03-172023-03-18문수체육관 실내체육관2023-03-09
520230006선거 개표2023-03-302023-04-06문수체육관 실내체육관2023-03-14
620230007탁구대회2023-04-072023-04-08문수체육관 실내체육관2023-03-30
720230008배드민턴대회2023-04-092023-04-09문수체육관 실내체육관2023-03-28
820230009배드민턴대회2023-04-142023-04-16문수체육관 실내체육관2023-04-05
920230010장애인행사2023-04-182023-04-19문수체육관 실내체육관2023-04-11
접수번호사용목적대관시작일대관종료일사용시설신청일
1220230013보치아대회2023-05-132023-05-19문수체육관 실내체육관2023-05-10
1320230014태권도대회2023-05-192023-05-22문수체육관 실내체육관2023-05-15
1420230015리듬체조대회2023-05-232023-05-24문수체육관 실내체육관2023-05-15
1520230016배드민턴대회2023-05-252023-05-30문수체육관 실내체육관2023-05-15
1620230017어르신생활체육대축전2023-06-012023-06-02문수체육관 실내체육관2023-05-26
1720230018시민생활대축전2023-06-032023-06-04문수체육관 실내체육관2023-05-26
1820230019공적가족 피정대회2023-06-092023-06-10문수체육관 실내체육관2023-06-02
1920230020배구대회2023-06-162023-06-18문수체육관 실내체육관2023-06-08
2020230021장애인행사2023-06-202023-06-21문수체육관 실내체육관2023-06-12
2120230022라켓볼대회2023-06-242023-06-24문수체육관 라켓볼장2023-06-12