Overview

Dataset statistics

Number of variables3
Number of observations25
Missing cells15
Missing cells (%)20.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory757.0 B
Average record size in memory30.3 B

Variable types

Numeric1
Text2

Dataset

Description강원형 디지털 특화 서비스 개발 사업 중 특정 과제 진행을 위하여 데이터를 활용하기 위한 목적으로 강원도 18개 시군의 유관기관 및 패밀리사이트의 리스트 공개 요청이 접수되어 파일을 제공하고자 합니다.
URLhttps://www.data.go.kr/data/15098660/fileData.do

Alerts

웹사이트주소 has 15 (60.0%) missing valuesMissing
연번 has unique valuesUnique
유관기관명 및 패밀리사이트 has unique valuesUnique

Reproduction

Analysis started2023-12-12 15:32:34.249297
Analysis finished2023-12-12 15:32:34.625455
Duration0.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13
Minimum1
Maximum25
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size357.0 B
2023-12-13T00:32:34.698278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.2
Q17
median13
Q319
95-th percentile23.8
Maximum25
Range24
Interquartile range (IQR)12

Descriptive statistics

Standard deviation7.3598007
Coefficient of variation (CV)0.56613852
Kurtosis-1.2
Mean13
Median Absolute Deviation (MAD)6
Skewness0
Sum325
Variance54.166667
MonotonicityStrictly increasing
2023-12-13T00:32:34.837899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=25)
ValueCountFrequency (%)
1 1
 
4.0%
2 1
 
4.0%
25 1
 
4.0%
24 1
 
4.0%
23 1
 
4.0%
22 1
 
4.0%
21 1
 
4.0%
20 1
 
4.0%
19 1
 
4.0%
18 1
 
4.0%
Other values (15) 15
60.0%
ValueCountFrequency (%)
1 1
4.0%
2 1
4.0%
3 1
4.0%
4 1
4.0%
5 1
4.0%
6 1
4.0%
7 1
4.0%
8 1
4.0%
9 1
4.0%
10 1
4.0%
ValueCountFrequency (%)
25 1
4.0%
24 1
4.0%
23 1
4.0%
22 1
4.0%
21 1
4.0%
20 1
4.0%
19 1
4.0%
18 1
4.0%
17 1
4.0%
16 1
4.0%

유관기관명 및 패밀리사이트
Text

UNIQUE 

Distinct25
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size332.0 B
2023-12-13T00:32:35.062711image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length6.52
Min length3

Characters and Unicode

Total characters163
Distinct characters77
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique25 ?
Unique (%)100.0%

Sample

1st row영월문화재단
2nd row영월경찰서
3rd row영월소방서
4th row세경대학교
5th row영월우체국
ValueCountFrequency (%)
영월문화재단 1
 
4.0%
영월농산물품질관리원 1
 
4.0%
달빛동물원 1
 
4.0%
영월몰 1
 
4.0%
망경대산자연휴양림 1
 
4.0%
동강애쇼핑몰 1
 
4.0%
영월박물관포털 1
 
4.0%
동강사진박물관 1
 
4.0%
별마로천문대 1
 
4.0%
영월군체육회 1
 
4.0%
Other values (15) 15
60.0%
2023-12-13T00:32:35.393866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
영 18
 
11.0%
월 18
 
11.0%
군 6
 
3.7%
원 6
 
3.7%
관 5
 
3.1%
서 4
 
2.5%
물 4
 
2.5%
동 4
 
2.5%
대 3
 
1.8%
경 3
 
1.8%
Other values (67) 92
56.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 163
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
영 18
 
11.0%
월 18
 
11.0%
군 6
 
3.7%
원 6
 
3.7%
관 5
 
3.1%
서 4
 
2.5%
물 4
 
2.5%
동 4
 
2.5%
대 3
 
1.8%
경 3
 
1.8%
Other values (67) 92
56.4%

Most occurring scripts

ValueCountFrequency (%)
Hangul 163
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
영 18
 
11.0%
월 18
 
11.0%
군 6
 
3.7%
원 6
 
3.7%
관 5
 
3.1%
서 4
 
2.5%
물 4
 
2.5%
동 4
 
2.5%
대 3
 
1.8%
경 3
 
1.8%
Other values (67) 92
56.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 163
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
영 18
 
11.0%
월 18
 
11.0%
군 6
 
3.7%
원 6
 
3.7%
관 5
 
3.1%
서 4
 
2.5%
물 4
 
2.5%
동 4
 
2.5%
대 3
 
1.8%
경 3
 
1.8%
Other values (67) 92
56.4%

웹사이트주소
Text

MISSING 

Distinct9
Distinct (%)90.0%
Missing15
Missing (%)60.0%
Memory size332.0 B
2023-12-13T00:32:35.626739image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length34.5
Mean length35.2
Min length24

Characters and Unicode

Total characters352
Distinct characters40
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique8 ?
Unique (%)80.0%

Sample

1st rowhttps://lll.yw.go.kr/ywedu/index.do
2nd rowhttps://lll.yw.go.kr/ywedu/index.do
3rd rowhttps://www.yao.or.kr:451/
4th rowhttp://www.dgphotomuseum.com/
5th rowhttp://www.ywmuseum.com/
ValueCountFrequency (%)
https://lll.yw.go.kr/ywedu/index.do 2
20.0%
https://www.yao.or.kr:451 1
10.0%
http://www.dgphotomuseum.com 1
10.0%
http://www.ywmuseum.com 1
10.0%
https://www.ywdga.co.kr/main/index 1
10.0%
https://www.foresttrip.go.kr/indvz/main.do?hmpgid=id02030067 1
10.0%
https://www.yeongwol-mall.com/main/index 1
10.0%
https://blog.naver.com/moonlightzoo 1
10.0%
http://www.ywcompanyview.co.kr/yw 1
10.0%
2023-12-13T00:32:35.969336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 36
 
10.2%
w 31
 
8.8%
. 29
 
8.2%
o 25
 
7.1%
t 24
 
6.8%
m 15
 
4.3%
p 14
 
4.0%
d 13
 
3.7%
h 13
 
3.7%
n 12
 
3.4%
Other values (30) 140
39.8%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 259
73.6%
Other Punctuation 77
 
21.9%
Decimal Number 11
 
3.1%
Uppercase Letter 3
 
0.9%
Dash Punctuation 1
 
0.3%
Math Symbol 1
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
w 31
 
12.0%
o 25
 
9.7%
t 24
 
9.3%
m 15
 
5.8%
p 14
 
5.4%
d 13
 
5.0%
h 13
 
5.0%
n 12
 
4.6%
e 12
 
4.6%
y 11
 
4.2%
Other values (14) 89
34.4%
Decimal Number
ValueCountFrequency (%)
0 4
36.4%
7 1
 
9.1%
6 1
 
9.1%
3 1
 
9.1%
2 1
 
9.1%
1 1
 
9.1%
5 1
 
9.1%
4 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
/ 36
46.8%
. 29
37.7%
: 11
 
14.3%
? 1
 
1.3%
Uppercase Letter
ValueCountFrequency (%)
I 2
66.7%
D 1
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Math Symbol
ValueCountFrequency (%)
= 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 262
74.4%
Common 90
 
25.6%

Most frequent character per script

Latin
ValueCountFrequency (%)
w 31
 
11.8%
o 25
 
9.5%
t 24
 
9.2%
m 15
 
5.7%
p 14
 
5.3%
d 13
 
5.0%
h 13
 
5.0%
n 12
 
4.6%
e 12
 
4.6%
y 11
 
4.2%
Other values (16) 92
35.1%
Common
ValueCountFrequency (%)
/ 36
40.0%
. 29
32.2%
: 11
 
12.2%
0 4
 
4.4%
- 1
 
1.1%
7 1
 
1.1%
6 1
 
1.1%
3 1
 
1.1%
2 1
 
1.1%
? 1
 
1.1%
Other values (4) 4
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 352
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 36
 
10.2%
w 31
 
8.8%
. 29
 
8.2%
o 25
 
7.1%
t 24
 
6.8%
m 15
 
4.3%
p 14
 
4.0%
d 13
 
3.7%
h 13
 
3.7%
n 12
 
3.4%
Other values (30) 140
39.8%

Interactions

2023-12-13T00:32:34.380743image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T00:32:36.066930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번유관기관명 및 패밀리사이트웹사이트주소
연번1.0001.0001.000
유관기관명 및 패밀리사이트1.0001.0001.000
웹사이트주소1.0001.0001.000

Missing values

2023-12-13T00:32:34.516076image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T00:32:34.591252image/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

연번유관기관명 및 패밀리사이트웹사이트주소
01영월문화재단<NA>
12영월경찰서<NA>
23영월소방서<NA>
34세경대학교<NA>
45영월우체국<NA>
56영월의료원<NA>
67영월세무서<NA>
78영월교육지원청<NA>
89영월군청소년상담복지센터<NA>
910영월군자원봉사센터<NA>
연번유관기관명 및 패밀리사이트웹사이트주소
1516영월군평생학습https://lll.yw.go.kr/ywedu/index.do
1617영월군체육회https://lll.yw.go.kr/ywedu/index.do
1718별마로천문대https://www.yao.or.kr:451/
1819동강사진박물관http://www.dgphotomuseum.com/
1920영월박물관포털http://www.ywmuseum.com/
2021동강애쇼핑몰https://www.ywdga.co.kr/main/index
2122망경대산자연휴양림https://www.foresttrip.go.kr/indvz/main.do?hmpgId=ID02030067
2223영월몰https://www.yeongwol-mall.com/main/index/
2324달빛동물원https://blog.naver.com/moonlightzoo
2425영월군기업탐방http://www.ywcompanyview.co.kr/yw