Overview

Dataset statistics

Number of variables4
Number of observations68
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.3 KiB
Average record size in memory33.9 B

Variable types

Categorical3
Text1

Dataset

Description울산광역시 중구청 대표 홈페이지 2018년 1월~2022년 8월간 누적방문자수 현황입니다. 데이터 목록에는 년도, 월, 방문자수, 데이터 기준일 데이터가 개방되고 있습니다.
Author울산광역시 중구
URLhttps://www.data.go.kr/data/15089126/fileData.do

Alerts

데이터기준일 has constant value ""Constant
방문횟수 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:44:17.055626
Analysis finished2023-12-12 08:44:17.346047
Duration0.29 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

년도
Categorical

Distinct6
Distinct (%)8.8%
Missing0
Missing (%)0.0%
Memory size676.0 B
2022년
12 
2021년
12 
2020년
12 
2019년
12 
2018년
12 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023년
2nd row2023년
3rd row2023년
4th row2023년
5th row2023년

Common Values

ValueCountFrequency (%)
2022년 12
17.6%
2021년 12
17.6%
2020년 12
17.6%
2019년 12
17.6%
2018년 12
17.6%
2023년 8
11.8%

Length

2023-12-12T17:44:17.430335image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:44:17.624942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022년 12
17.6%
2021년 12
17.6%
2020년 12
17.6%
2019년 12
17.6%
2018년 12
17.6%
2023년 8
11.8%

월
Categorical

Distinct12
Distinct (%)17.6%
Missing0
Missing (%)0.0%
Memory size676.0 B
01월
6 
02월
6 
03월
6 
04월
6 
05월
6 
Other values (7)
38 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row01월
2nd row02월
3rd row03월
4th row04월
5th row05월

Common Values

ValueCountFrequency (%)
01월 6
8.8%
02월 6
8.8%
03월 6
8.8%
04월 6
8.8%
05월 6
8.8%
06월 6
8.8%
07월 6
8.8%
08월 6
8.8%
09월 5
7.4%
10월 5
7.4%
Other values (2) 10
14.7%

Length

2023-12-12T17:44:17.781560image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
01월 6
8.8%
02월 6
8.8%
03월 6
8.8%
04월 6
8.8%
05월 6
8.8%
06월 6
8.8%
07월 6
8.8%
08월 6
8.8%
09월 5
7.4%
10월 5
7.4%
Other values (2) 10
14.7%

방문횟수
Text

UNIQUE 

Distinct68
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size676.0 B
2023-12-12T17:44:18.037802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length6
Mean length6.0294118
Min length6

Characters and Unicode

Total characters410
Distinct characters11
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique68 ?
Unique (%)100.0%

Sample

1st row66502명
2nd row64795명
3rd row77301명
4th row65142명
5th row69292명
ValueCountFrequency (%)
66502명 1
 
1.5%
57784명 1
 
1.5%
54242명 1
 
1.5%
56263명 1
 
1.5%
67435명 1
 
1.5%
87038명 1
 
1.5%
52618명 1
 
1.5%
64795명 1
 
1.5%
51984명 1
 
1.5%
66111명 1
 
1.5%
Other values (58) 58
85.3%
2023-12-12T17:44:18.463385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 69
16.8%
명 68
16.6%
4 41
10.0%
1 38
9.3%
6 37
9.0%
2 32
7.8%
8 30
7.3%
7 29
7.1%
3 28
6.8%
0 22
 
5.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 342
83.4%
Other Letter 68
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 69
20.2%
4 41
12.0%
1 38
11.1%
6 37
10.8%
2 32
9.4%
8 30
8.8%
7 29
8.5%
3 28
8.2%
0 22
 
6.4%
9 16
 
4.7%
Other Letter
ValueCountFrequency (%)
명 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 342
83.4%
Hangul 68
 
16.6%

Most frequent character per script

Common
ValueCountFrequency (%)
5 69
20.2%
4 41
12.0%
1 38
11.1%
6 37
10.8%
2 32
9.4%
8 30
8.8%
7 29
8.5%
3 28
8.2%
0 22
 
6.4%
9 16
 
4.7%
Hangul
ValueCountFrequency (%)
명 68
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 342
83.4%
Hangul 68
 
16.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 69
20.2%
4 41
12.0%
1 38
11.1%
6 37
10.8%
2 32
9.4%
8 30
8.8%
7 29
8.5%
3 28
8.2%
0 22
 
6.4%
9 16
 
4.7%
Hangul
ValueCountFrequency (%)
명 68
100.0%

데이터기준일
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size676.0 B
2023-09-04
68 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-04
2nd row2023-09-04
3rd row2023-09-04
4th row2023-09-04
5th row2023-09-04

Common Values

ValueCountFrequency (%)
2023-09-04 68
100.0%

Length

2023-12-12T17:44:18.649543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:44:18.757926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-04 68
100.0%

Correlations

2023-12-12T17:44:18.814643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년도월방문횟수
년도1.0000.0001.000
월0.0001.0001.000
방문횟수1.0001.0001.000
2023-12-12T17:44:19.199147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
월년도
월1.0000.000
년도0.0001.000
2023-12-12T17:44:19.278139image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
년도월
년도1.0000.000
월0.0001.000

Missing values

2023-12-12T17:44:17.219838image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:44:17.311555image/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

년도월방문횟수데이터기준일
02023년01월66502명2023-09-04
12023년02월64795명2023-09-04
22023년03월77301명2023-09-04
32023년04월65142명2023-09-04
42023년05월69292명2023-09-04
52023년06월73151명2023-09-04
62023년07월122114명2023-09-04
72023년08월145468명2023-09-04
82022년01월66111명2023-09-04
92022년02월59235명2023-09-04
년도월방문횟수데이터기준일
582018년03월40529명2023-09-04
592018년04월39588명2023-09-04
602018년05월43871명2023-09-04
612018년06월47546명2023-09-04
622018년07월51378명2023-09-04
632018년08월54118명2023-09-04
642018년09월41555명2023-09-04
652018년10월47392명2023-09-04
662018년11월45621명2023-09-04
672018년12월53881명2023-09-04