Overview

Dataset statistics

Number of variables3
Number of observations93
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory26.4 B

Variable types

Categorical2
Numeric1

Dataset

Description일자별 강원랜드 카지노를 입장하는 외국인 고객의 인원 수 정보로 입장일자, SHIFT(카지노 일 영업시간 구분), 내국인 총 입장객 수를 제공합니다
Author(주)강원랜드
URLhttps://www.data.go.kr/data/15120629/fileData.do

Alerts

외국인 입장객 수 is highly overall correlated with 영업시간 구분High correlation
영업시간 구분 is highly overall correlated with 외국인 입장객 수High correlation
외국인 입장객 수 has 2 (2.2%) zerosZeros

Reproduction

Analysis started2024-04-29 23:10:46.123558
Analysis finished2024-04-29 23:10:47.617211
Duration1.49 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

입장일자
Categorical

Distinct31
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Memory size876.0 B
2024-03-01
 
3
2024-03-02
 
3
2024-03-03
 
3
2024-03-04
 
3
2024-03-05
 
3
Other values (26)
78 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2024-03-01
2nd row2024-03-01
3rd row2024-03-01
4th row2024-03-02
5th row2024-03-02

Common Values

ValueCountFrequency (%)
2024-03-01 3
 
3.2%
2024-03-02 3
 
3.2%
2024-03-03 3
 
3.2%
2024-03-04 3
 
3.2%
2024-03-05 3
 
3.2%
2024-03-06 3
 
3.2%
2024-03-07 3
 
3.2%
2024-03-08 3
 
3.2%
2024-03-09 3
 
3.2%
2024-03-10 3
 
3.2%
Other values (21) 63
67.7%

Length

2024-04-30T08:10:47.674967image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
2024-03-01 3
 
3.2%
2024-03-17 3
 
3.2%
2024-03-30 3
 
3.2%
2024-03-29 3
 
3.2%
2024-03-28 3
 
3.2%
2024-03-27 3
 
3.2%
2024-03-26 3
 
3.2%
2024-03-25 3
 
3.2%
2024-03-24 3
 
3.2%
2024-03-23 3
 
3.2%
Other values (21) 63
67.7%

영업시간 구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)3.2%
Missing0
Missing (%)0.0%
Memory size876.0 B
1부
31 
2부
31 
3부
31 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1부
2nd row2부
3rd row3부
4th row1부
5th row2부

Common Values

ValueCountFrequency (%)
1부 31
33.3%
2부 31
33.3%
3부 31
33.3%

Length

2024-04-30T08:10:47.785756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-30T08:10:47.880475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1부 31
33.3%
2부 31
33.3%
3부 31
33.3%

외국인 입장객 수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct39
Distinct (%)41.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.913978
Minimum0
Maximum46
Zeros2
Zeros (%)2.2%
Negative0
Negative (%)0.0%
Memory size969.0 B
2024-04-30T08:10:47.999521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile1
Q14
median14
Q329
95-th percentile40.4
Maximum46
Range46
Interquartile range (IQR)25

Descriptive statistics

Standard deviation13.388554
Coefficient of variation (CV)0.79156743
Kurtosis-1.0550726
Mean16.913978
Median Absolute Deviation (MAD)11
Skewness0.47995157
Sum1573
Variance179.25339
MonotonicityNot monotonic
2024-04-30T08:10:48.127090image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
3 9
 
9.7%
2 6
 
6.5%
16 6
 
6.5%
1 5
 
5.4%
29 5
 
5.4%
13 5
 
5.4%
32 5
 
5.4%
12 4
 
4.3%
7 3
 
3.2%
6 3
 
3.2%
Other values (29) 42
45.2%
ValueCountFrequency (%)
0 2
 
2.2%
1 5
5.4%
2 6
6.5%
3 9
9.7%
4 2
 
2.2%
5 3
 
3.2%
6 3
 
3.2%
7 3
 
3.2%
8 2
 
2.2%
9 1
 
1.1%
ValueCountFrequency (%)
46 1
1.1%
45 1
1.1%
43 1
1.1%
42 1
1.1%
41 1
1.1%
40 1
1.1%
39 1
1.1%
37 2
2.2%
35 2
2.2%
34 2
2.2%

Interactions

2024-04-30T08:10:47.191067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-30T08:10:48.205327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
입장일자영업시간 구분외국인 입장객 수
입장일자1.0000.0000.000
영업시간 구분0.0001.0000.916
외국인 입장객 수0.0000.9161.000
2024-04-30T08:10:48.299857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
입장일자영업시간 구분
입장일자1.0000.000
영업시간 구분0.0001.000
2024-04-30T08:10:48.387480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
외국인 입장객 수입장일자영업시간 구분
외국인 입장객 수1.0000.0000.838
입장일자0.0001.0000.000
영업시간 구분0.8380.0001.000

Missing values

2024-04-30T08:10:47.366574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-30T08:10:47.586663image/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

입장일자영업시간 구분외국인 입장객 수
02024-03-011부45
12024-03-012부22
22024-03-013부11
32024-03-021부43
42024-03-022부16
52024-03-023부1
62024-03-031부29
72024-03-032부13
82024-03-033부1
92024-03-041부29
입장일자영업시간 구분외국인 입장객 수
832024-03-283부3
842024-03-291부31
852024-03-292부13
862024-03-293부1
872024-03-301부35
882024-03-302부20
892024-03-303부8
902024-03-311부46
912024-03-312부12
922024-03-313부1