Overview

Dataset statistics

Number of variables6
Number of observations24
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory57.5 B

Variable types

Text1
Numeric4
Categorical1

Dataset

Description광주광역시도시공사에서 관리하는 염주골프센터의 이용객 현황에 대한 데이터로 월별 이용객수, 전체 등록 회원 수, 신규 등록 회원 수 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15103730/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
이용객수 is highly overall correlated with 신규등록 회원 수High correlation
전체 등록 회원 수 is highly overall correlated with 신규등록 회원 수 and 1 other fieldsHigh correlation
신규등록 회원 수 is highly overall correlated with 이용객수 and 2 other fieldsHigh correlation
재등록 회원 수 is highly overall correlated with 전체 등록 회원 수 and 1 other fieldsHigh correlation
구분 has unique valuesUnique
이용객수 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:59:12.584848
Analysis finished2023-12-12 15:59:14.525705
Duration1.94 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size324.0 B
2023-12-13T00:59:14.623498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length8.25
Min length8

Characters and Unicode

Total characters198
Distinct characters13
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row2021년 1월
2nd row2021년 2월
3rd row2021년 3월
4th row2021년 4월
5th row2021년 5월
ValueCountFrequency (%)
2021년 12
25.0%
2022년 12
25.0%
1월 2
 
4.2%
2월 2
 
4.2%
3월 2
 
4.2%
4월 2
 
4.2%
5월 2
 
4.2%
6월 2
 
4.2%
7월 2
 
4.2%
8월 2
 
4.2%
Other values (4) 8
16.7%
2023-12-13T00:59:14.951826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 64
32.3%
0 26
13.1%
년 24
 
12.1%
24
 
12.1%
월 24
 
12.1%
1 22
 
11.1%
3 2
 
1.0%
4 2
 
1.0%
5 2
 
1.0%
6 2
 
1.0%
Other values (3) 6
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 126
63.6%
Other Letter 48
 
24.2%
Space Separator 24
 
12.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 64
50.8%
0 26
20.6%
1 22
 
17.5%
3 2
 
1.6%
4 2
 
1.6%
5 2
 
1.6%
6 2
 
1.6%
7 2
 
1.6%
8 2
 
1.6%
9 2
 
1.6%
Other Letter
ValueCountFrequency (%)
년 24
50.0%
월 24
50.0%
Space Separator
ValueCountFrequency (%)
24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 150
75.8%
Hangul 48
 
24.2%

Most frequent character per script

Common
ValueCountFrequency (%)
2 64
42.7%
0 26
17.3%
24
 
16.0%
1 22
 
14.7%
3 2
 
1.3%
4 2
 
1.3%
5 2
 
1.3%
6 2
 
1.3%
7 2
 
1.3%
8 2
 
1.3%
Hangul
ValueCountFrequency (%)
년 24
50.0%
월 24
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 150
75.8%
Hangul 48
 
24.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 64
42.7%
0 26
17.3%
24
 
16.0%
1 22
 
14.7%
3 2
 
1.3%
4 2
 
1.3%
5 2
 
1.3%
6 2
 
1.3%
7 2
 
1.3%
8 2
 
1.3%
Hangul
ValueCountFrequency (%)
년 24
50.0%
월 24
50.0%

이용객수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20061
Minimum348
Maximum24710
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T00:59:15.131348image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum348
5-th percentile11146.65
Q117524.25
median22583.5
Q323601.25
95-th percentile24562
Maximum24710
Range24362
Interquartile range (IQR)6077

Descriptive statistics

Standard deviation5768.9186
Coefficient of variation (CV)0.28756885
Kurtosis4.9403695
Mean20061
Median Absolute Deviation (MAD)1439
Skewness-2.0642353
Sum481464
Variance33280422
MonotonicityNot monotonic
2023-12-13T00:59:15.262320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
15188 1
 
4.2%
16577 1
 
4.2%
10794 1
 
4.2%
348 1
 
4.2%
24710 1
 
4.2%
22744 1
 
4.2%
22423 1
 
4.2%
22091 1
 
4.2%
24030 1
 
4.2%
24634 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
348 1
4.2%
10794 1
4.2%
13145 1
4.2%
15188 1
4.2%
15957 1
4.2%
16577 1
4.2%
17840 1
4.2%
18415 1
4.2%
21562 1
4.2%
22091 1
4.2%
ValueCountFrequency (%)
24710 1
4.2%
24634 1
4.2%
24154 1
4.2%
24030 1
4.2%
24015 1
4.2%
23752 1
4.2%
23551 1
4.2%
23535 1
4.2%
23278 1
4.2%
23214 1
4.2%

전체 등록 회원 수
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean495.83333
Minimum28
Maximum701
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T00:59:15.384524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum28
5-th percentile300.6
Q1441.5
median519.5
Q3573
95-th percentile660.2
Maximum701
Range673
Interquartile range (IQR)131.5

Descriptive statistics

Standard deviation138.80692
Coefficient of variation (CV)0.27994674
Kurtosis4.7425137
Mean495.83333
Median Absolute Deviation (MAD)70
Skewness-1.6895551
Sum11900
Variance19267.362
MonotonicityNot monotonic
2023-12-13T00:59:15.528796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
440 2
 
8.3%
526 1
 
4.2%
291 1
 
4.2%
28 1
 
4.2%
619 1
 
4.2%
529 1
 
4.2%
496 1
 
4.2%
500 1
 
4.2%
542 1
 
4.2%
570 1
 
4.2%
Other values (13) 13
54.2%
ValueCountFrequency (%)
28 1
4.2%
291 1
4.2%
355 1
4.2%
374 1
4.2%
440 2
8.3%
442 1
4.2%
478 1
4.2%
496 1
4.2%
500 1
4.2%
503 1
4.2%
ValueCountFrequency (%)
701 1
4.2%
665 1
4.2%
633 1
4.2%
619 1
4.2%
613 1
4.2%
582 1
4.2%
570 1
4.2%
542 1
4.2%
534 1
4.2%
529 1
4.2%

신규등록 회원 수
Real number (ℝ)

HIGH CORRELATION 

Distinct21
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean88.333333
Minimum5
Maximum162
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T00:59:15.669786image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum5
5-th percentile34.35
Q170
median88
Q3111
95-th percentile130.7
Maximum162
Range157
Interquartile range (IQR)41

Descriptive statistics

Standard deviation34.934307
Coefficient of variation (CV)0.39548272
Kurtosis0.49558498
Mean88.333333
Median Absolute Deviation (MAD)21
Skewness-0.35731655
Sum2120
Variance1220.4058
MonotonicityNot monotonic
2023-12-13T00:59:15.836828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=21)
ValueCountFrequency (%)
111 2
 
8.3%
88 2
 
8.3%
70 2
 
8.3%
33 1
 
4.2%
66 1
 
4.2%
42 1
 
4.2%
5 1
 
4.2%
46 1
 
4.2%
105 1
 
4.2%
83 1
 
4.2%
Other values (11) 11
45.8%
ValueCountFrequency (%)
5 1
4.2%
33 1
4.2%
42 1
4.2%
46 1
4.2%
66 1
4.2%
70 2
8.3%
71 1
4.2%
81 1
4.2%
83 1
4.2%
84 1
4.2%
ValueCountFrequency (%)
162 1
4.2%
131 1
4.2%
129 1
4.2%
120 1
4.2%
113 1
4.2%
111 2
8.3%
108 1
4.2%
105 1
4.2%
102 1
4.2%
101 1
4.2%

재등록 회원 수
Real number (ℝ)

HIGH CORRELATION 

Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean407.5
Minimum23
Maximum570
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size348.0 B
2023-12-13T00:59:16.001684image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum23
5-th percentile257.25
Q1388.5
median416.5
Q3455.25
95-th percentile540.35
Maximum570
Range547
Interquartile range (IQR)66.75

Descriptive statistics

Standard deviation108.99541
Coefficient of variation (CV)0.26747341
Kurtosis6.1532421
Mean407.5
Median Absolute Deviation (MAD)39.5
Skewness-1.9413728
Sum9780
Variance11880
MonotonicityNot monotonic
2023-12-13T00:59:16.165344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=23)
ValueCountFrequency (%)
412 2
 
8.3%
322 1
 
4.2%
445 1
 
4.2%
249 1
 
4.2%
23 1
 
4.2%
394 1
 
4.2%
514 1
 
4.2%
446 1
 
4.2%
408 1
 
4.2%
431 1
 
4.2%
Other values (13) 13
54.2%
ValueCountFrequency (%)
23 1
4.2%
249 1
4.2%
304 1
4.2%
322 1
4.2%
369 1
4.2%
372 1
4.2%
394 1
4.2%
408 1
4.2%
412 2
8.3%
413 1
4.2%
ValueCountFrequency (%)
570 1
4.2%
545 1
4.2%
514 1
4.2%
504 1
4.2%
469 1
4.2%
468 1
4.2%
451 1
4.2%
446 1
4.2%
445 1
4.2%
431 1
4.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size324.0 B
2022-12-31
24 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-12-31
2nd row2022-12-31
3rd row2022-12-31
4th row2022-12-31
5th row2022-12-31

Common Values

ValueCountFrequency (%)
2022-12-31 24
100.0%

Length

2023-12-13T00:59:16.339150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T00:59:16.450652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-12-31 24
100.0%

Interactions

2023-12-13T00:59:14.035651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:59:12.972404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:59:13.246420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:59:13.660288image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:59:14.103383image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:59:13.031696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:59:13.336826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:59:13.766484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:59:14.185142image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:59:13.102944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:59:13.424325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:59:13.864445image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:59:14.276019image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:59:13.179294image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:59:13.576469image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T00:59:13.958869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:59:16.525355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분이용객수전체 등록 회원 수신규등록 회원 수재등록 회원 수
구분1.0001.0001.0001.0001.000
이용객수1.0001.0000.7990.6440.887
전체 등록 회원 수1.0000.7991.0000.8190.961
신규등록 회원 수1.0000.6440.8191.0000.796
재등록 회원 수1.0000.8870.9610.7961.000
2023-12-13T00:59:16.634035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
이용객수전체 등록 회원 수신규등록 회원 수재등록 회원 수
이용객수1.0000.4700.5390.454
전체 등록 회원 수0.4701.0000.9180.983
신규등록 회원 수0.5390.9181.0000.846
재등록 회원 수0.4540.9830.8461.000

Missing values

2023-12-13T00:59:14.383678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:59:14.481890image/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

구분이용객수전체 등록 회원 수신규등록 회원 수재등록 회원 수데이터기준일자
02021년 1월15188355333222022-12-31
12021년 2월15957526814452022-12-31
22021년 3월237527011315702022-12-31
32021년 4월232785251114142022-12-31
42021년 5월23535503844192022-12-31
52021년 6월231355141014132022-12-31
62021년 7월223725341084262022-12-31
72021년 8월232146131624512022-12-31
82021년 9월240156331295042022-12-31
92021년 10월241545821134692022-12-31
구분이용객수전체 등록 회원 수신규등록 회원 수재등록 회원 수데이터기준일자
142022년 3월131456651205452022-12-31
152022년 4월235515701024682022-12-31
162022년 5월246345421114312022-12-31
172022년 6월24030500884122022-12-31
182022년 7월22091496884082022-12-31
192022년 8월22423529834462022-12-31
202022년 9월227446191055142022-12-31
212022년 10월24710440463942022-12-31
222022년 11월348285232022-12-31
232022년 12월10794291422492022-12-31