Overview

Dataset statistics

Number of variables3
Number of observations82
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory26.6 B

Variable types

Numeric1
DateTime1
Categorical1

Dataset

Description전라남도 -해남군- 문화예술회관-휴관일-20230701 기준 공휴일,매주 월요일 휴관 차기변경일자 20240701
URLhttps://www.data.go.kr/data/15050075/fileData.do

Alerts

사유 is highly imbalanced (52.8%)Imbalance
연번 has unique valuesUnique
휴관일 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:26:53.729680
Analysis finished2023-12-12 16:26:54.062551
Duration0.33 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct82
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.5
Minimum1
Maximum82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size870.0 B
2023-12-13T01:26:54.140147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.05
Q121.25
median41.5
Q361.75
95-th percentile77.95
Maximum82
Range81
Interquartile range (IQR)40.5

Descriptive statistics

Standard deviation23.815261
Coefficient of variation (CV)0.57386172
Kurtosis-1.2
Mean41.5
Median Absolute Deviation (MAD)20.5
Skewness0
Sum3403
Variance567.16667
MonotonicityStrictly increasing
2023-12-13T01:26:54.299385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.2%
63 1
 
1.2%
61 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
56 1
 
1.2%
55 1
 
1.2%
54 1
 
1.2%
Other values (72) 72
87.8%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
82 1
1.2%
81 1
1.2%
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%
76 1
1.2%
75 1
1.2%
74 1
1.2%
73 1
1.2%

휴관일
Date

UNIQUE 

Distinct82
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size788.0 B
Minimum2023-01-01 00:00:00
Maximum2024-03-25 00:00:00
2023-12-13T01:26:54.470299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:26:54.618177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

사유
Categorical

IMBALANCE 

Distinct14
Distinct (%)17.1%
Missing0
Missing (%)0.0%
Memory size788.0 B
월요일
59 
설날
6 
대체 휴일
 
3
추석
 
3
삼일절
 
2
Other values (9)
9 

Length

Max length8
Median length3
Mean length3.1829268
Min length2

Unique

Unique9 ?
Unique (%)11.0%

Sample

1st row신정
2nd row월요일
3rd row월요일
4th row월요일
5th row설날

Common Values

ValueCountFrequency (%)
월요일 59
72.0%
설날 6
 
7.3%
대체 휴일 3
 
3.7%
추석 3
 
3.7%
삼일절 2
 
2.4%
신정 1
 
1.2%
어린이 날 1
 
1.2%
부처님오신날 1
 
1.2%
현충일 1
 
1.2%
광복절 1
 
1.2%
Other values (4) 4
 
4.9%

Length

2023-12-13T01:26:54.748627image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
월요일 59
68.6%
설날 6
 
7.0%
대체 3
 
3.5%
휴일 3
 
3.5%
추석 3
 
3.5%
삼일절 2
 
2.3%
신정 1
 
1.2%
어린이 1
 
1.2%
날 1
 
1.2%
부처님오신날 1
 
1.2%
Other values (6) 6
 
7.0%

Interactions

2023-12-13T01:26:53.825569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:26:54.850484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번휴관일사유
연번1.0001.0000.339
휴관일1.0001.0001.000
사유0.3391.0001.000
2023-12-13T01:26:54.936592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번사유
연번1.0000.132
사유0.1321.000

Missing values

2023-12-13T01:26:53.947301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:26:54.027372image/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

연번휴관일사유
012023-01-01신정
122023-01-02월요일
232023-01-09월요일
342023-01-16월요일
452023-01-21설날
562023-01-22설날
672023-01-23설날
782023-01-24대체 휴일
892023-01-30월요일
9102023-02-06월요일
연번휴관일사유
72732024-02-10설날
73742024-02-11설날
74752024-02-12대체 휴일
75762024-02-19월요일
76772024-02-26월요일
77782024-03-01삼일절
78792024-03-04월요일
79802024-03-11월요일
80812024-03-18월요일
81822024-03-25월요일