Overview

Dataset statistics

Number of variables3
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory780.0 B
Average record size in memory32.5 B

Variable types

Categorical1
Numeric2

Dataset

Description한국문화진흥주식회사 뉴서울 컨트리클럽의 골프장 입장객 현황에 대한 월별 데이터를 제공합니다. 이전 등록 데이터가 2020년까지 제공했으므로 2021년, 2022년 데이터를 제공하며, 이전 데이터는 분기별 데이터로 제공했으나 이번 데이터부터 월별 데이터로 제공합니다.
URLhttps://www.data.go.kr/data/15093413/fileData.do

Alerts

내장객수 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:31:10.124917
Analysis finished2023-12-12 12:31:10.916074
Duration0.79 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연도
Categorical

Distinct2
Distinct (%)8.3%
Missing0
Missing (%)0.0%
Memory size324.0 B
2022
12 
2021
12 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022
2nd row2022
3rd row2022
4th row2022
5th row2022

Common Values

ValueCountFrequency (%)
2022 12
50.0%
2021 12
50.0%

Length

2023-12-12T21:31:11.416172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:31:11.536969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022 12
50.0%
2021 12
50.0%

월
Real number (ℝ)

Distinct12
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean6.5
Minimum1
Maximum12
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T21:31:11.664854image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1.15
Q13.75
median6.5
Q39.25
95-th percentile11.85
Maximum12
Range11
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation3.5262987
Coefficient of variation (CV)0.54250749
Kurtosis-1.2156934
Mean6.5
Median Absolute Deviation (MAD)3
Skewness0
Sum156
Variance12.434783
MonotonicityNot monotonic
2023-12-12T21:31:11.828310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
1 2
8.3%
2 2
8.3%
3 2
8.3%
4 2
8.3%
5 2
8.3%
6 2
8.3%
7 2
8.3%
8 2
8.3%
9 2
8.3%
10 2
8.3%
Other values (2) 4
16.7%
ValueCountFrequency (%)
1 2
8.3%
2 2
8.3%
3 2
8.3%
4 2
8.3%
5 2
8.3%
6 2
8.3%
7 2
8.3%
8 2
8.3%
9 2
8.3%
10 2
8.3%
ValueCountFrequency (%)
12 2
8.3%
11 2
8.3%
10 2
8.3%
9 2
8.3%
8 2
8.3%
7 2
8.3%
6 2
8.3%
5 2
8.3%
4 2
8.3%
3 2
8.3%

내장객수
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean14728.208
Minimum3374
Maximum21501
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-12T21:31:12.012481image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3374
5-th percentile3454.45
Q112401
median17666.5
Q319164.25
95-th percentile20251.9
Maximum21501
Range18127
Interquartile range (IQR)6763.25

Descriptive statistics

Standard deviation6349.4909
Coefficient of variation (CV)0.43111088
Kurtosis-0.62900842
Mean14728.208
Median Absolute Deviation (MAD)2023
Skewness-1.0341812
Sum353477
Variance40316035
MonotonicityNot monotonic
2023-12-12T21:31:12.185533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
3430 1
 
4.2%
3374 1
 
4.2%
6770 1
 
4.2%
15799 1
 
4.2%
19044 1
 
4.2%
18126 1
 
4.2%
14278 1
 
4.2%
18190 1
 
4.2%
20290 1
 
4.2%
19219 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
3374 1
4.2%
3430 1
4.2%
3593 1
4.2%
4247 1
4.2%
4834 1
4.2%
6770 1
4.2%
14278 1
4.2%
15488 1
4.2%
15799 1
4.2%
15922 1
4.2%
ValueCountFrequency (%)
21501 1
4.2%
20290 1
4.2%
20036 1
4.2%
19857 1
4.2%
19319 1
4.2%
19219 1
4.2%
19146 1
4.2%
19044 1
4.2%
18451 1
4.2%
18257 1
4.2%

Interactions

2023-12-12T21:31:10.502752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:31:10.229873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:31:10.605460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:31:10.385217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:31:12.292167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연도월내장객수
연도1.0000.0000.000
월0.0001.0000.741
내장객수0.0000.7411.000
2023-12-12T21:31:12.397749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
월내장객수연도
월1.0000.0920.000
내장객수0.0921.0000.000
연도0.0000.0001.000

Missing values

2023-12-12T21:31:10.770566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:31:10.875687image/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

연도월내장객수
0202213430
1202223593
22022315922
32022420036
42022521501
52022619319
62022719146
72022815488
82022918257
920221018451
연도월내장객수
142021317207
152021419857
162021519219
172021620290
182021718190
192021814278
202021918126
2120211019044
2220211115799
232021126770