Overview

Dataset statistics

Number of variables5
Number of observations92
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.8 KiB
Average record size in memory42.4 B

Variable types

Numeric1
DateTime1
Text1
Categorical2

Dataset

Description부산광역시_해운대구_해운대해수욕장방문객현황_20190716
Author부산광역시 해운대구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15037510

Alerts

관리구군명 has constant value ""Constant
관리기관명 has constant value ""Constant
연번 has unique valuesUnique
방문일 has unique valuesUnique
방문객수(명) has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:37:56.477873
Analysis finished2023-12-10 16:37:57.007181
Duration0.53 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean46.5
Minimum1
Maximum92
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size960.0 B
2023-12-11T01:37:57.095076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.55
Q123.75
median46.5
Q369.25
95-th percentile87.45
Maximum92
Range91
Interquartile range (IQR)45.5

Descriptive statistics

Standard deviation26.70206
Coefficient of variation (CV)0.57423785
Kurtosis-1.2
Mean46.5
Median Absolute Deviation (MAD)23
Skewness0
Sum4278
Variance713
MonotonicityStrictly increasing
2023-12-11T01:37:57.264601image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
60 1
 
1.1%
69 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
62 1
 
1.1%
Other values (82) 82
89.1%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
92 1
1.1%
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%
84 1
1.1%
83 1
1.1%

방문일
Date

UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size868.0 B
Minimum2018-06-01 00:00:00
Maximum2018-08-31 00:00:00
2023-12-11T01:37:57.425588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:37:57.835531image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

방문객수(명)
Text

UNIQUE 

Distinct92
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size868.0 B
2023-12-11T01:37:58.210062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.25
Min length6

Characters and Unicode

Total characters575
Distinct characters11
Distinct categories2 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)100.0%

Sample

1st row35,337
2nd row51,771
3rd row41,613
4th row25,728
5th row28,564
ValueCountFrequency (%)
35,337 1
 
1.1%
115,813 1
 
1.1%
183,684 1
 
1.1%
181,643 1
 
1.1%
193,633 1
 
1.1%
219,419 1
 
1.1%
217,117 1
 
1.1%
206,168 1
 
1.1%
202,010 1
 
1.1%
193,805 1
 
1.1%
Other values (82) 82
89.1%
2023-12-11T01:37:58.706083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
, 92
16.0%
2 67
11.7%
1 64
11.1%
6 53
9.2%
3 47
8.2%
8 46
8.0%
7 45
7.8%
5 43
7.5%
4 42
7.3%
0 41
7.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 483
84.0%
Other Punctuation 92
 
16.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 67
13.9%
1 64
13.3%
6 53
11.0%
3 47
9.7%
8 46
9.5%
7 45
9.3%
5 43
8.9%
4 42
8.7%
0 41
8.5%
9 35
7.2%
Other Punctuation
ValueCountFrequency (%)
, 92
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 575
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
, 92
16.0%
2 67
11.7%
1 64
11.1%
6 53
9.2%
3 47
8.2%
8 46
8.0%
7 45
7.8%
5 43
7.5%
4 42
7.3%
0 41
7.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 575
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
, 92
16.0%
2 67
11.7%
1 64
11.1%
6 53
9.2%
3 47
8.2%
8 46
8.0%
7 45
7.8%
5 43
7.5%
4 42
7.3%
0 41
7.1%

관리구군명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size868.0 B
부산광역시 해운대구
92 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산광역시 해운대구
2nd row부산광역시 해운대구
3rd row부산광역시 해운대구
4th row부산광역시 해운대구
5th row부산광역시 해운대구

Common Values

ValueCountFrequency (%)
부산광역시 해운대구 92
100.0%

Length

2023-12-11T01:37:58.871542image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:37:58.977762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 92
50.0%
해운대구 92
50.0%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size868.0 B
관광시설관리사업소
92 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
관광시설관리사업소 92
100.0%

Length

2023-12-11T01:37:59.099105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:37:59.182611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
관광시설관리사업소 92
100.0%

Interactions

2023-12-11T01:37:56.743008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:37:59.240974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번방문일방문객수(명)
연번1.0001.0001.000
방문일1.0001.0001.000
방문객수(명)1.0001.0001.000

Missing values

2023-12-11T01:37:56.871287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:37:56.970493image/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

연번방문일방문객수(명)관리구군명관리기관명
012018-06-0135,337부산광역시 해운대구관광시설관리사업소
122018-06-0251,771부산광역시 해운대구관광시설관리사업소
232018-06-0341,613부산광역시 해운대구관광시설관리사업소
342018-06-0425,728부산광역시 해운대구관광시설관리사업소
452018-06-0528,564부산광역시 해운대구관광시설관리사업소
562018-06-0630,671부산광역시 해운대구관광시설관리사업소
672018-06-0726,840부산광역시 해운대구관광시설관리사업소
782018-06-0827,811부산광역시 해운대구관광시설관리사업소
892018-06-0937,564부산광역시 해운대구관광시설관리사업소
9102018-06-1029,389부산광역시 해운대구관광시설관리사업소
연번방문일방문객수(명)관리구군명관리기관명
82832018-08-2249,476부산광역시 해운대구관광시설관리사업소
83842018-08-2341,204부산광역시 해운대구관광시설관리사업소
84852018-08-2449,332부산광역시 해운대구관광시설관리사업소
85862018-08-2563,024부산광역시 해운대구관광시설관리사업소
86872018-08-2651,477부산광역시 해운대구관광시설관리사업소
87882018-08-2739,051부산광역시 해운대구관광시설관리사업소
88892018-08-2843,277부산광역시 해운대구관광시설관리사업소
89902018-08-2943,850부산광역시 해운대구관광시설관리사업소
90912018-08-3044,921부산광역시 해운대구관광시설관리사업소
91922018-08-3123,416부산광역시 해운대구관광시설관리사업소