Overview

Dataset statistics

Number of variables5
Number of observations35
Missing cells23
Missing cells (%)13.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory44.8 B

Variable types

Numeric1
Text3
Categorical1

Dataset

Description강원도 원주시의 유관기관 및 패밀리사이트 홈페이지 현황 자료입니다. 홈페이지명, 웹사이트 주소, 부서정보 등을 제공합니다.
Author강원도 원주시
URLhttps://www.data.go.kr/data/15098389/fileData.do

Alerts

비고 has 23 (65.7%) missing valuesMissing
연번 has unique valuesUnique
홈페이지 명 has unique valuesUnique
웹사이트 주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 07:00:41.012981
Analysis finished2023-12-12 07:00:41.580091
Duration0.57 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean18
Minimum1
Maximum35
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size447.0 B
2023-12-12T16:00:41.651374image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.7
Q19.5
median18
Q326.5
95-th percentile33.3
Maximum35
Range34
Interquartile range (IQR)17

Descriptive statistics

Standard deviation10.246951
Coefficient of variation (CV)0.56927504
Kurtosis-1.2
Mean18
Median Absolute Deviation (MAD)9
Skewness0
Sum630
Variance105
MonotonicityStrictly increasing
2023-12-12T16:00:42.129308image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
1 1
 
2.9%
2 1
 
2.9%
21 1
 
2.9%
22 1
 
2.9%
23 1
 
2.9%
24 1
 
2.9%
25 1
 
2.9%
26 1
 
2.9%
27 1
 
2.9%
28 1
 
2.9%
Other values (25) 25
71.4%
ValueCountFrequency (%)
1 1
2.9%
2 1
2.9%
3 1
2.9%
4 1
2.9%
5 1
2.9%
6 1
2.9%
7 1
2.9%
8 1
2.9%
9 1
2.9%
10 1
2.9%
ValueCountFrequency (%)
35 1
2.9%
34 1
2.9%
33 1
2.9%
32 1
2.9%
31 1
2.9%
30 1
2.9%
29 1
2.9%
28 1
2.9%
27 1
2.9%
26 1
2.9%

홈페이지 명
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T16:00:42.354291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length7.9142857
Min length3

Characters and Unicode

Total characters277
Distinct characters130
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)100.0%

Sample

1st row원주시 대표
2nd row새올전자민원창구
3rd row부동산거래관리시스템
4th row세움터
5th row황둔송계 정보화마을
ValueCountFrequency (%)
원주시 4
 
8.7%
정보화마을 2
 
4.3%
원주다이내믹댄싱카니발 1
 
2.2%
1
 
2.2%
문화센터 1
 
2.2%
원주사랑상품권 1
 
2.2%
코로나-19 1
 
2.2%
비상대책 1
 
2.2%
기록관 1
 
2.2%
대형폐기물배출예약 1
 
2.2%
Other values (32) 32
69.6%
2023-12-12T16:00:42.732933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
21
 
7.6%
20
 
7.2%
14
 
5.1%
11
 
4.0%
7
 
2.5%
6
 
2.2%
6
 
2.2%
6
 
2.2%
5
 
1.8%
5
 
1.8%
Other values (120) 176
63.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 261
94.2%
Space Separator 11
 
4.0%
Decimal Number 2
 
0.7%
Open Punctuation 1
 
0.4%
Dash Punctuation 1
 
0.4%
Close Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
21
 
8.0%
20
 
7.7%
14
 
5.4%
7
 
2.7%
6
 
2.3%
6
 
2.3%
6
 
2.3%
5
 
1.9%
5
 
1.9%
4
 
1.5%
Other values (114) 167
64.0%
Decimal Number
ValueCountFrequency (%)
9 1
50.0%
1 1
50.0%
Space Separator
ValueCountFrequency (%)
11
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 261
94.2%
Common 16
 
5.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
21
 
8.0%
20
 
7.7%
14
 
5.4%
7
 
2.7%
6
 
2.3%
6
 
2.3%
6
 
2.3%
5
 
1.9%
5
 
1.9%
4
 
1.5%
Other values (114) 167
64.0%
Common
ValueCountFrequency (%)
11
68.8%
9 1
 
6.2%
( 1
 
6.2%
- 1
 
6.2%
1 1
 
6.2%
) 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 261
94.2%
ASCII 16
 
5.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
21
 
8.0%
20
 
7.7%
14
 
5.4%
7
 
2.7%
6
 
2.3%
6
 
2.3%
6
 
2.3%
5
 
1.9%
5
 
1.9%
4
 
1.5%
Other values (114) 167
64.0%
ASCII
ValueCountFrequency (%)
11
68.8%
9 1
 
6.2%
( 1
 
6.2%
- 1
 
6.2%
1 1
 
6.2%
) 1
 
6.2%

웹사이트 주소
Text

UNIQUE 

Distinct35
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size412.0 B
2023-12-12T16:00:42.961617image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length45
Median length30
Mean length21.542857
Min length15

Characters and Unicode

Total characters754
Distinct characters38
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique35 ?
Unique (%)100.0%

Sample

1st rowwww.wonju.go.kr
2nd roweminwon.wonju.go.kr
3rd rowrtms.wonju.go.kr
4th roweais.wonju.go.kr
5th rowhwangdun.invil.org
ValueCountFrequency (%)
www.wonju.go.kr 1
 
2.9%
map.wonju.go.kr 1
 
2.9%
wonju.go.kr/wonjusarang 1
 
2.9%
covid19.wonju.go.kr 1
 
2.9%
wonju.go.kr/archive 1
 
2.9%
wonju.go.kr/bigclean 1
 
2.9%
http://wonju.uriad.com/index_wonju.jsp 1
 
2.9%
http://www.ddcwj.com 1
 
2.9%
wonju.go.kr/parkingsms 1
 
2.9%
http://www.wcf.or.kr 1
 
2.9%
Other values (25) 25
71.4%
2023-12-12T16:00:43.292611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 92
 
12.2%
o 70
 
9.3%
w 57
 
7.6%
n 55
 
7.3%
r 46
 
6.1%
/ 44
 
5.8%
t 36
 
4.8%
u 35
 
4.6%
i 33
 
4.4%
j 32
 
4.2%
Other values (28) 254
33.7%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 593
78.6%
Other Punctuation 146
 
19.4%
Other Letter 7
 
0.9%
Decimal Number 6
 
0.8%
Connector Punctuation 2
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 70
11.8%
w 57
 
9.6%
n 55
 
9.3%
r 46
 
7.8%
t 36
 
6.1%
u 35
 
5.9%
i 33
 
5.6%
j 32
 
5.4%
k 31
 
5.2%
g 31
 
5.2%
Other values (14) 167
28.2%
Decimal Number
ValueCountFrequency (%)
1 2
33.3%
9 1
16.7%
3 1
16.7%
6 1
16.7%
5 1
16.7%
Other Letter
ValueCountFrequency (%)
2
28.6%
2
28.6%
1
14.3%
1
14.3%
1
14.3%
Other Punctuation
ValueCountFrequency (%)
. 92
63.0%
/ 44
30.1%
: 10
 
6.8%
Connector Punctuation
ValueCountFrequency (%)
_ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 593
78.6%
Common 154
 
20.4%
Hangul 7
 
0.9%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 70
11.8%
w 57
 
9.6%
n 55
 
9.3%
r 46
 
7.8%
t 36
 
6.1%
u 35
 
5.9%
i 33
 
5.6%
j 32
 
5.4%
k 31
 
5.2%
g 31
 
5.2%
Other values (14) 167
28.2%
Common
ValueCountFrequency (%)
. 92
59.7%
/ 44
28.6%
: 10
 
6.5%
_ 2
 
1.3%
1 2
 
1.3%
9 1
 
0.6%
3 1
 
0.6%
6 1
 
0.6%
5 1
 
0.6%
Hangul
ValueCountFrequency (%)
2
28.6%
2
28.6%
1
14.3%
1
14.3%
1
14.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 747
99.1%
Hangul 7
 
0.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 92
 
12.3%
o 70
 
9.4%
w 57
 
7.6%
n 55
 
7.4%
r 46
 
6.2%
/ 44
 
5.9%
t 36
 
4.8%
u 35
 
4.7%
i 33
 
4.4%
j 32
 
4.3%
Other values (23) 247
33.1%
Hangul
ValueCountFrequency (%)
2
28.6%
2
28.6%
1
14.3%
1
14.3%
1
14.3%

부서
Categorical

Distinct15
Distinct (%)42.9%
Missing0
Missing (%)0.0%
Memory size412.0 B
미입력
12 
정보통신과
문화예술과
교통행정과
도시계획과
Other values (10)
10 

Length

Max length5
Median length5
Mean length4.2
Min length3

Unique

Unique10 ?
Unique (%)28.6%

Sample

1st row정보통신과
2nd row정보통신과
3rd row토지관리과
4th row건축과
5th row정보통신과

Common Values

ValueCountFrequency (%)
미입력 12
34.3%
정보통신과 7
20.0%
문화예술과 2
 
5.7%
교통행정과 2
 
5.7%
도시계획과 2
 
5.7%
토지관리과 1
 
2.9%
건축과 1
 
2.9%
농정과 1
 
2.9%
경영관리과 1
 
2.9%
시립도서관 1
 
2.9%
Other values (5) 5
14.3%

Length

2023-12-12T16:00:43.421183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
미입력 12
34.3%
정보통신과 7
20.0%
문화예술과 2
 
5.7%
교통행정과 2
 
5.7%
도시계획과 2
 
5.7%
토지관리과 1
 
2.9%
건축과 1
 
2.9%
농정과 1
 
2.9%
경영관리과 1
 
2.9%
시립도서관 1
 
2.9%
Other values (5) 5
14.3%

비고
Text

MISSING 

Distinct9
Distinct (%)75.0%
Missing23
Missing (%)65.7%
Memory size412.0 B
2023-12-12T16:00:43.556849image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9.5
Mean length8.1666667
Min length5

Characters and Unicode

Total characters98
Distinct characters24
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique7 ?
Unique (%)58.3%

Sample

1st row최초 구축 1996.12.
2nd row표준시스템 
3rd row표준시스템 
4th row표준시스템 
5th row행안부 운영 
ValueCountFrequency (%)
최초 5
25.0%
표준시스템 4
20.0%
행안부 2
 
10.0%
운영 2
 
10.0%
구축 1
 
5.0%
1996.12 1
 
5.0%
2006.5 1
 
5.0%
2006.1 1
 
5.0%
2003.5 1
 
5.0%
최초2013.06 1
 
5.0%
2023-12-12T16:00:43.817791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 9
 
9.2%
. 9
 
9.2%
8
 
8.2%
6
 
6.1%
2 6
 
6.1%
6
 
6.1%
  5
 
5.1%
1 5
 
5.1%
4
 
4.1%
5 4
 
4.1%
Other values (14) 36
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 44
44.9%
Decimal Number 32
32.7%
Space Separator 13
 
13.3%
Other Punctuation 9
 
9.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
6
13.6%
6
13.6%
4
9.1%
4
9.1%
4
9.1%
4
9.1%
4
9.1%
2
 
4.5%
2
 
4.5%
2
 
4.5%
Other values (4) 6
13.6%
Decimal Number
ValueCountFrequency (%)
0 9
28.1%
2 6
18.8%
1 5
15.6%
5 4
12.5%
6 4
12.5%
9 2
 
6.2%
3 2
 
6.2%
Space Separator
ValueCountFrequency (%)
8
61.5%
  5
38.5%
Other Punctuation
ValueCountFrequency (%)
. 9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 54
55.1%
Hangul 44
44.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
6
13.6%
6
13.6%
4
9.1%
4
9.1%
4
9.1%
4
9.1%
4
9.1%
2
 
4.5%
2
 
4.5%
2
 
4.5%
Other values (4) 6
13.6%
Common
ValueCountFrequency (%)
0 9
16.7%
. 9
16.7%
8
14.8%
2 6
11.1%
  5
9.3%
1 5
9.3%
5 4
7.4%
6 4
7.4%
9 2
 
3.7%
3 2
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 49
50.0%
Hangul 44
44.9%
None 5
 
5.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 9
18.4%
. 9
18.4%
8
16.3%
2 6
12.2%
1 5
10.2%
5 4
8.2%
6 4
8.2%
9 2
 
4.1%
3 2
 
4.1%
Hangul
ValueCountFrequency (%)
6
13.6%
6
13.6%
4
9.1%
4
9.1%
4
9.1%
4
9.1%
4
9.1%
2
 
4.5%
2
 
4.5%
2
 
4.5%
Other values (4) 6
13.6%
None
ValueCountFrequency (%)
  5
100.0%

Interactions

2023-12-12T16:00:41.289758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T16:00:43.923536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번홈페이지 명웹사이트 주소부서비고
연번1.0001.0001.0000.7591.000
홈페이지 명1.0001.0001.0001.0001.000
웹사이트 주소1.0001.0001.0001.0001.000
부서0.7591.0001.0001.0000.835
비고1.0001.0001.0000.8351.000
2023-12-12T16:00:44.019944image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번부서
연번1.0000.277
부서0.2771.000

Missing values

2023-12-12T16:00:41.424028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T16:00:41.534533image/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

연번홈페이지 명웹사이트 주소부서비고
01원주시 대표www.wonju.go.kr정보통신과최초 구축 1996.12.
12새올전자민원창구eminwon.wonju.go.kr정보통신과표준시스템
23부동산거래관리시스템rtms.wonju.go.kr토지관리과표준시스템
34세움터eais.wonju.go.kr건축과표준시스템
45황둔송계 정보화마을hwangdun.invil.org정보통신과행안부 운영
56미륵산 정보화마을miluksan.invil.org정보통신과행안부 운영
67원주시립예술단wonju.go.kr/arts문화예술과최초 2006.5
78창의문화도시wonju.go.kr/cityofliterature/문화예술과<NA>
89교통정보센터its.wonju.go.kr교통행정과최초 2006.1
910원주농촌관광wonju.go.kr/greentour농정과<NA>
연번홈페이지 명웹사이트 주소부서비고
2526원주다이내믹댄싱카니발http://www.ddcwj.com/미입력<NA>
2627원주문화재단http://www.wcf.or.kr/미입력<NA>
2728원주 옻 문화센터http://www.wonjuottchil.com/미입력<NA>
2829원주한지테마파크hanjipark.com/main.php미입력<NA>
2930원주민박펜션협회http://wjpension.com/미입력<NA>
3031원주몰http://www.원주몰.com/미입력<NA>
3132원주의료기기테크노밸리http://www.wmit.or.kr/main.php미입력<NA>
3233원주시가족센터https://wonju.familynet.or.kr/center/index.do미입력<NA>
3334원주시자원봉사센터http://www.wonju1365.or.kr/main/index.php미입력<NA>
3435문화도시원주(원주롭다)https://원주롭다.kr/main.php미입력<NA>