Overview

Dataset statistics

Number of variables12
Number of observations30
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory110.4 B

Variable types

DateTime1
Categorical8
Numeric3

Dataset

Description2024년 3월 코스 일별 기상정보로서 일자, 요일, 최고온도, 최저온도, 강우량, 적설량, 예술(오전), 예술(오후), 예술(그린스피드), 문화(오전), 문화(오후), 문화(그린스피드) 자료를 제공
Author한국문화진흥주식회사
URLhttps://www.data.go.kr/data/15074093/fileData.do

Alerts

적설량 has constant value ""Constant
예술(오후) is highly overall correlated with 예술(오전) and 2 other fieldsHigh correlation
예술(오전) is highly overall correlated with 예술(오후) and 2 other fieldsHigh correlation
문화(오전) is highly overall correlated with 예술(오전) and 2 other fieldsHigh correlation
문화(오후) is highly overall correlated with 예술(오전) and 2 other fieldsHigh correlation
최고온도 is highly overall correlated with 최저온도High correlation
최저온도 is highly overall correlated with 최고온도High correlation
예술(그린스피드) is highly overall correlated with 문화(그린스피드)High correlation
문화(그린스피드) is highly overall correlated with 예술(그린스피드)High correlation
강우량 is highly imbalanced (64.1%)Imbalance
일자 has unique valuesUnique

Reproduction

Analysis started2024-04-29 22:40:58.538860
Analysis finished2024-04-29 22:41:01.562313
Duration3.02 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

일자
Date

UNIQUE 

Distinct30
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
Minimum2024-03-01 00:00:00
Maximum2024-03-30 00:00:00
2024-04-30T07:41:01.629133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:41:01.749942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

요일
Categorical

Distinct7
Distinct (%)23.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
금요일
5 
토요일
5 
일요일
4 
월요일
4 
화요일
4 
Other values (2)
8 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row금요일
2nd row토요일
3rd row일요일
4th row월요일
5th row화요일

Common Values

ValueCountFrequency (%)
금요일 5
16.7%
토요일 5
16.7%
일요일 4
13.3%
월요일 4
13.3%
화요일 4
13.3%
수요일 4
13.3%
목요일 4
13.3%

Length

2024-04-30T07:41:01.861308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:41:01.964044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
금요일 5
16.7%
토요일 5
16.7%
일요일 4
13.3%
월요일 4
13.3%
화요일 4
13.3%
수요일 4
13.3%
목요일 4
13.3%

최고온도
Real number (ℝ)

HIGH CORRELATION 

Distinct16
Distinct (%)53.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean11.466667
Minimum-2
Maximum22
Zeros0
Zeros (%)0.0%
Negative1
Negative (%)3.3%
Memory size402.0 B
2024-04-30T07:41:02.072069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-2
5-th percentile4.9
Q19.25
median12
Q314.75
95-th percentile17.55
Maximum22
Range24
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation4.5843311
Coefficient of variation (CV)0.39979632
Kurtosis1.8670857
Mean11.466667
Median Absolute Deviation (MAD)3
Skewness-0.53468033
Sum344
Variance21.016092
MonotonicityNot monotonic
2024-04-30T07:41:02.196155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=16)
ValueCountFrequency (%)
12 5
16.7%
11 4
13.3%
15 4
13.3%
10 2
 
6.7%
7 2
 
6.7%
8 2
 
6.7%
13 2
 
6.7%
16 1
 
3.3%
17 1
 
3.3%
22 1
 
3.3%
Other values (6) 6
20.0%
ValueCountFrequency (%)
-2 1
 
3.3%
4 1
 
3.3%
6 1
 
3.3%
7 2
 
6.7%
8 2
 
6.7%
9 1
 
3.3%
10 2
 
6.7%
11 4
13.3%
12 5
16.7%
13 2
 
6.7%
ValueCountFrequency (%)
22 1
 
3.3%
18 1
 
3.3%
17 1
 
3.3%
16 1
 
3.3%
15 4
13.3%
14 1
 
3.3%
13 2
 
6.7%
12 5
16.7%
11 4
13.3%
10 2
 
6.7%

최저온도
Real number (ℝ)

HIGH CORRELATION 

Distinct12
Distinct (%)40.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.8333333
Minimum-5
Maximum10
Zeros0
Zeros (%)0.0%
Negative10
Negative (%)33.3%
Memory size402.0 B
2024-04-30T07:41:02.295748image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum-5
5-th percentile-4
Q1-2
median2
Q34
95-th percentile10
Maximum10
Range15
Interquartile range (IQR)6

Descriptive statistics

Standard deviation4.1695392
Coefficient of variation (CV)2.2742941
Kurtosis-0.34367973
Mean1.8333333
Median Absolute Deviation (MAD)3
Skewness0.43487374
Sum55
Variance17.385057
MonotonicityNot monotonic
2024-04-30T07:41:02.403677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
-2 5
16.7%
1 4
13.3%
2 4
13.3%
5 3
10.0%
3 3
10.0%
10 3
10.0%
-4 2
 
6.7%
4 2
 
6.7%
-5 1
 
3.3%
-3 1
 
3.3%
Other values (2) 2
 
6.7%
ValueCountFrequency (%)
-5 1
 
3.3%
-4 2
 
6.7%
-3 1
 
3.3%
-2 5
16.7%
-1 1
 
3.3%
1 4
13.3%
2 4
13.3%
3 3
10.0%
4 2
 
6.7%
5 3
10.0%
ValueCountFrequency (%)
10 3
10.0%
8 1
 
3.3%
5 3
10.0%
4 2
 
6.7%
3 3
10.0%
2 4
13.3%
1 4
13.3%
-1 1
 
3.3%
-2 5
16.7%
-3 1
 
3.3%

강우량
Categorical

IMBALANCE 

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
26 
6
 
1
9
 
1
16
 
1
7
 
1

Length

Max length2
Median length1
Mean length1.0333333
Min length1

Unique

Unique4 ?
Unique (%)13.3%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row6

Common Values

ValueCountFrequency (%)
0 26
86.7%
6 1
 
3.3%
9 1
 
3.3%
16 1
 
3.3%
7 1
 
3.3%

Length

2024-04-30T07:41:02.522705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:41:02.632788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 26
86.7%
6 1
 
3.3%
9 1
 
3.3%
16 1
 
3.3%
7 1
 
3.3%

적설량
Categorical

CONSTANT 

Distinct1
Distinct (%)3.3%
Missing0
Missing (%)0.0%
Memory size372.0 B
0
30 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 30
100.0%

Length

2024-04-30T07:41:02.738380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:41:02.828377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 30
100.0%

예술(오전)
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
1
10 
2
10 
3
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row2
3rd row3
4th row1
5th row2

Common Values

ValueCountFrequency (%)
1 10
33.3%
2 10
33.3%
3 10
33.3%

Length

2024-04-30T07:41:02.919500image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:41:03.018514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 10
33.3%
2 10
33.3%
3 10
33.3%

예술(오후)
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
6
10 
4
10 
5
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row6
2nd row4
3rd row5
4th row6
5th row4

Common Values

ValueCountFrequency (%)
6 10
33.3%
4 10
33.3%
5 10
33.3%

Length

2024-04-30T07:41:03.132294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:41:03.246113image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6 10
33.3%
4 10
33.3%
5 10
33.3%

예술(그린스피드)
Real number (ℝ)

HIGH CORRELATION 

Distinct6
Distinct (%)20.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2.64
Minimum2.4
Maximum3
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size402.0 B
2024-04-30T07:41:03.333210image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.4
5-th percentile2.4
Q12.525
median2.7
Q32.7
95-th percentile2.8
Maximum3
Range0.6
Interquartile range (IQR)0.175

Descriptive statistics

Standard deviation0.14527026
Coefficient of variation (CV)0.055026613
Kurtosis0.15883696
Mean2.64
Median Absolute Deviation (MAD)0.05
Skewness-0.18510848
Sum79.2
Variance0.021103448
MonotonicityNot monotonic
2024-04-30T07:41:03.436152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=6)
ValueCountFrequency (%)
2.7 15
50.0%
2.4 5
 
16.7%
2.6 3
 
10.0%
2.5 3
 
10.0%
2.8 3
 
10.0%
3.0 1
 
3.3%
ValueCountFrequency (%)
2.4 5
 
16.7%
2.5 3
 
10.0%
2.6 3
 
10.0%
2.7 15
50.0%
2.8 3
 
10.0%
3.0 1
 
3.3%
ValueCountFrequency (%)
3.0 1
 
3.3%
2.8 3
 
10.0%
2.7 15
50.0%
2.6 3
 
10.0%
2.5 3
 
10.0%
2.4 5
 
16.7%

문화(오전)
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
3
10 
1
10 
2
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row3
2nd row1
3rd row2
4th row3
5th row1

Common Values

ValueCountFrequency (%)
3 10
33.3%
1 10
33.3%
2 10
33.3%

Length

2024-04-30T07:41:03.564318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:41:03.663173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 10
33.3%
1 10
33.3%
2 10
33.3%

문화(오후)
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size372.0 B
5
10 
6
10 
4
10 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row6
3rd row4
4th row5
5th row6

Common Values

ValueCountFrequency (%)
5 10
33.3%
6 10
33.3%
4 10
33.3%

Length

2024-04-30T07:41:03.761719image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:41:03.852915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 10
33.3%
6 10
33.3%
4 10
33.3%

문화(그린스피드)
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)16.7%
Missing0
Missing (%)0.0%
Memory size372.0 B
2.7
15 
2.4
5 
2.6
4 
2.5
3 
2.8
3 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2.4
2nd row2.4
3rd row2.4
4th row2.4
5th row2.4

Common Values

ValueCountFrequency (%)
2.7 15
50.0%
2.4 5
 
16.7%
2.6 4
 
13.3%
2.5 3
 
10.0%
2.8 3
 
10.0%

Length

2024-04-30T07:41:03.963452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T07:41:04.212427image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2.7 15
50.0%
2.4 5
 
16.7%
2.6 4
 
13.3%
2.5 3
 
10.0%
2.8 3
 
10.0%

Interactions

2024-04-30T07:41:01.017372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:41:00.315237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:41:00.748057image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:41:01.116328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:41:00.575815image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:41:00.822879image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:41:01.208186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:41:00.665406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-30T07:41:00.918160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-30T07:41:04.293809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
일자요일최고온도최저온도강우량예술(오전)예술(오후)예술(그린스피드)문화(오전)문화(오후)문화(그린스피드)
일자1.0001.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
요일1.0001.0000.0350.0000.1980.0000.0000.0000.0000.0000.000
최고온도1.0000.0351.0000.3800.3400.0000.0000.5890.0000.0000.575
최저온도1.0000.0000.3801.0000.6990.0000.0000.4590.0000.0000.517
강우량1.0000.1980.3400.6991.0000.1350.1350.5230.1350.1350.804
예술(오전)1.0000.0000.0000.0000.1351.0001.0000.0001.0001.0000.000
예술(오후)1.0000.0000.0000.0000.1351.0001.0000.0001.0001.0000.000
예술(그린스피드)1.0000.0000.5890.4590.5230.0000.0001.0000.0000.0000.960
문화(오전)1.0000.0000.0000.0000.1351.0001.0000.0001.0001.0000.000
문화(오후)1.0000.0000.0000.0000.1351.0001.0000.0001.0001.0000.000
문화(그린스피드)1.0000.0000.5750.5170.8040.0000.0000.9600.0000.0001.000
2024-04-30T07:41:04.434871image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
예술(오후)예술(오전)강우량문화(오전)문화(오후)문화(그린스피드)요일
예술(오후)1.0001.0000.0691.0001.0000.0000.000
예술(오전)1.0001.0000.0691.0001.0000.0000.000
강우량0.0690.0691.0000.0690.0690.4230.084
문화(오전)1.0001.0000.0691.0001.0000.0000.000
문화(오후)1.0001.0000.0691.0001.0000.0000.000
문화(그린스피드)0.0000.0000.4230.0000.0001.0000.000
요일0.0000.0000.0840.0000.0000.0001.000
2024-04-30T07:41:04.541517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
최고온도최저온도예술(그린스피드)요일강우량예술(오전)예술(오후)문화(오전)문화(오후)문화(그린스피드)
최고온도1.0000.5680.4870.0000.2570.0000.0000.0000.0000.364
최저온도0.5681.0000.2610.1060.4440.0000.0000.0000.0000.327
예술(그린스피드)0.4870.2611.0000.0000.3730.0000.0000.0000.0000.935
요일0.0000.1060.0001.0000.0840.0000.0000.0000.0000.000
강우량0.2570.4440.3730.0841.0000.0690.0690.0690.0690.423
예술(오전)0.0000.0000.0000.0000.0691.0001.0001.0001.0000.000
예술(오후)0.0000.0000.0000.0000.0691.0001.0001.0001.0000.000
문화(오전)0.0000.0000.0000.0000.0691.0001.0001.0001.0000.000
문화(오후)0.0000.0000.0000.0000.0691.0001.0001.0001.0000.000
문화(그린스피드)0.3640.3270.9350.0000.4230.0000.0000.0000.0001.000

Missing values

2024-04-30T07:41:01.334048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-30T07:41:01.497191image/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

일자요일최고온도최저온도강우량적설량예술(오전)예술(오후)예술(그린스피드)문화(오전)문화(오후)문화(그린스피드)
02024-03-01금요일-2-400162.4352.4
12024-03-02토요일4-500242.4162.4
22024-03-03일요일9100352.4242.4
32024-03-04월요일11-200162.4352.4
42024-03-05화요일10560242.4162.4
52024-03-06수요일11400352.7242.6
62024-03-07목요일7100162.6352.6
72024-03-08금요일7-200242.6162.6
82024-03-09토요일6-400352.7242.7
92024-03-10일요일11-300162.7352.7
일자요일최고온도최저온도강우량적설량예술(오전)예술(오후)예술(그린스피드)문화(오전)문화(오후)문화(그린스피드)
202024-03-21목요일12-200352.7242.7
212024-03-22금요일15300162.7352.7
222024-03-23토요일181090242.5162.5
232024-03-24일요일221000352.8242.8
242024-03-25월요일131000162.8352.8
252024-03-26화요일123160242.5162.5
262024-03-27수요일17200352.7242.7
272024-03-28목요일12870162.5352.5
282024-03-29금요일12400242.7162.7
292024-03-30토요일15300352.8242.8