Overview

Dataset statistics

Number of variables5
Number of observations32
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.4 KiB
Average record size in memory45.1 B

Variable types

Numeric1
Text3
DateTime1

Dataset

Description전주시에서 관리·운영중인 홈페이지 운영현황으로 연번, 홈페이지명, 홈페이지주소, 담당부서, 데이터기준일자 데이터를 제공하고 있습니다.
Author전북특별자치도 전주시
URLhttps://www.data.go.kr/data/15127382/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
연번 has unique valuesUnique
홈페이지명 has unique valuesUnique
홈페이지주소 has unique valuesUnique

Reproduction

Analysis started2024-04-06 08:15:45.670464
Analysis finished2024-04-06 08:15:46.699582
Duration1.03 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.5
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-04-06T17:15:46.852393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.55
Q18.75
median16.5
Q324.25
95-th percentile30.45
Maximum32
Range31
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation9.3808315
Coefficient of variation (CV)0.56853524
Kurtosis-1.2
Mean16.5
Median Absolute Deviation (MAD)8
Skewness0
Sum528
Variance88
MonotonicityStrictly increasing
2024-04-06T17:15:47.212361image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 1
 
3.1%
18 1
 
3.1%
32 1
 
3.1%
31 1
 
3.1%
30 1
 
3.1%
29 1
 
3.1%
28 1
 
3.1%
27 1
 
3.1%
26 1
 
3.1%
25 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
1 1
3.1%
2 1
3.1%
3 1
3.1%
4 1
3.1%
5 1
3.1%
6 1
3.1%
7 1
3.1%
8 1
3.1%
9 1
3.1%
10 1
3.1%
ValueCountFrequency (%)
32 1
3.1%
31 1
3.1%
30 1
3.1%
29 1
3.1%
28 1
3.1%
27 1
3.1%
26 1
3.1%
25 1
3.1%
24 1
3.1%
23 1
3.1%

홈페이지명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-04-06T17:15:47.776873image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length9
Min length4

Characters and Unicode

Total characters288
Distinct characters125
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row전주시 대표 누리집
2nd row전주동물원
3rd row전주시평생학습관
4th row전주음식
5th row비짓전주(VisitJeonju)
ValueCountFrequency (%)
전주시 8
 
15.4%
전주 2
 
3.8%
대표 2
 
3.8%
누리집 2
 
3.8%
보훈누리공원 1
 
1.9%
동아시아문화도시 1
 
1.9%
상하수도 1
 
1.9%
요금조회납부 1
 
1.9%
웹사이트 1
 
1.9%
야호놀이전주 1
 
1.9%
Other values (32) 32
61.5%
2024-04-06T17:15:48.621476image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
전 28
 
9.7%
주 26
 
9.0%
20
 
6.9%
시 18
 
6.2%
관 6
 
2.1%
도 5
 
1.7%
리 5
 
1.7%
물 5
 
1.7%
터 4
 
1.4%
보 4
 
1.4%
Other values (115) 167
58.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 255
88.5%
Space Separator 20
 
6.9%
Lowercase Letter 9
 
3.1%
Uppercase Letter 2
 
0.7%
Close Punctuation 1
 
0.3%
Open Punctuation 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 28
 
11.0%
주 26
 
10.2%
시 18
 
7.1%
관 6
 
2.4%
도 5
 
2.0%
리 5
 
2.0%
물 5
 
2.0%
터 4
 
1.6%
보 4
 
1.6%
원 4
 
1.6%
Other values (102) 150
58.8%
Lowercase Letter
ValueCountFrequency (%)
i 2
22.2%
u 1
11.1%
j 1
11.1%
n 1
11.1%
o 1
11.1%
e 1
11.1%
t 1
11.1%
s 1
11.1%
Uppercase Letter
ValueCountFrequency (%)
J 1
50.0%
V 1
50.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 255
88.5%
Common 22
 
7.6%
Latin 11
 
3.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 28
 
11.0%
주 26
 
10.2%
시 18
 
7.1%
관 6
 
2.4%
도 5
 
2.0%
리 5
 
2.0%
물 5
 
2.0%
터 4
 
1.6%
보 4
 
1.6%
원 4
 
1.6%
Other values (102) 150
58.8%
Latin
ValueCountFrequency (%)
i 2
18.2%
u 1
9.1%
j 1
9.1%
n 1
9.1%
o 1
9.1%
e 1
9.1%
J 1
9.1%
t 1
9.1%
s 1
9.1%
V 1
9.1%
Common
ValueCountFrequency (%)
20
90.9%
) 1
 
4.5%
( 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 255
88.5%
ASCII 33
 
11.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
전 28
 
11.0%
주 26
 
10.2%
시 18
 
7.1%
관 6
 
2.4%
도 5
 
2.0%
리 5
 
2.0%
물 5
 
2.0%
터 4
 
1.6%
보 4
 
1.6%
원 4
 
1.6%
Other values (102) 150
58.8%
ASCII
ValueCountFrequency (%)
20
60.6%
i 2
 
6.1%
) 1
 
3.0%
u 1
 
3.0%
j 1
 
3.0%
n 1
 
3.0%
o 1
 
3.0%
e 1
 
3.0%
J 1
 
3.0%
t 1
 
3.0%
Other values (3) 3
 
9.1%

홈페이지주소
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-04-06T17:15:49.094237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length22
Mean length18.15625
Min length11

Characters and Unicode

Total characters581
Distinct characters26
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st rowjeonju.go.kr
2nd rowzoo.jeonju.go.kr
3rd rowe.jeonju.go.kr
4th rowfood.jeonju.go.kr
5th rowtour.jeonju.go.kr
ValueCountFrequency (%)
jeonju.go.kr 1
 
3.1%
zoo.jeonju.go.kr 1
 
3.1%
bohunuri.kr 1
 
3.1%
dongheon.or.kr 1
 
3.1%
foodwaste.jeonju.go.kr 1
 
3.1%
wansangu.jeonju.go.kr 1
 
3.1%
deokjingu.jeonju.go.kr 1
 
3.1%
jeonju.go.kr/eojinmuseum 1
 
3.1%
jeonju.go.kr/jeonjumuseum 1
 
3.1%
cceajj.jeonju.go.kr 1
 
3.1%
Other values (22) 22
68.8%
2024-04-06T17:15:49.795220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
. 85
14.6%
o 81
13.9%
j 67
11.5%
u 46
7.9%
n 44
7.6%
e 44
7.6%
r 40
6.9%
g 35
 
6.0%
k 34
 
5.9%
a 17
 
2.9%
Other values (16) 88
15.1%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 488
84.0%
Other Punctuation 92
 
15.8%
Connector Punctuation 1
 
0.2%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
o 81
16.6%
j 67
13.7%
u 46
9.4%
n 44
9.0%
e 44
9.0%
r 40
8.2%
g 35
7.2%
k 34
7.0%
a 17
 
3.5%
m 11
 
2.3%
Other values (13) 69
14.1%
Other Punctuation
ValueCountFrequency (%)
. 85
92.4%
/ 7
 
7.6%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 488
84.0%
Common 93
 
16.0%

Most frequent character per script

Latin
ValueCountFrequency (%)
o 81
16.6%
j 67
13.7%
u 46
9.4%
n 44
9.0%
e 44
9.0%
r 40
8.2%
g 35
7.2%
k 34
7.0%
a 17
 
3.5%
m 11
 
2.3%
Other values (13) 69
14.1%
Common
ValueCountFrequency (%)
. 85
91.4%
/ 7
 
7.5%
_ 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 581
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
. 85
14.6%
o 81
13.9%
j 67
11.5%
u 46
7.9%
n 44
7.6%
e 44
7.6%
r 40
6.9%
g 35
 
6.0%
k 34
 
5.9%
a 17
 
2.9%
Other values (16) 88
15.1%

담당부서
Text

Distinct24
Distinct (%)75.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-04-06T17:15:50.161658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length5
Mean length5.59375
Min length3

Characters and Unicode

Total characters179
Distinct characters67
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

Unique17 ?
Unique (%)53.1%

Sample

1st row정보화정책과
2nd row동물원
3rd row평생학습관
4th row환경위생과
5th row관광산업과
ValueCountFrequency (%)
정보화정책과 3
 
8.8%
도서관운영과 2
 
5.9%
한옥마을사업소 2
 
5.9%
관광산업과 2
 
5.9%
환경위생과 2
 
5.9%
홍보담당관 2
 
5.9%
행정지원과 2
 
5.9%
전주박물관 2
 
5.9%
도서관정책과 1
 
2.9%
예술단운영사업소 1
 
2.9%
Other values (15) 15
44.1%
2024-04-06T17:15:50.761735image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
과 22
 
12.3%
정 14
 
7.8%
관 10
 
5.6%
책 6
 
3.4%
보 6
 
3.4%
업 6
 
3.4%
원 5
 
2.8%
지 5
 
2.8%
행 4
 
2.2%
화 4
 
2.2%
Other values (57) 97
54.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 177
98.9%
Space Separator 2
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
과 22
 
12.4%
정 14
 
7.9%
관 10
 
5.6%
책 6
 
3.4%
보 6
 
3.4%
업 6
 
3.4%
원 5
 
2.8%
지 5
 
2.8%
행 4
 
2.3%
화 4
 
2.3%
Other values (56) 95
53.7%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 177
98.9%
Common 2
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
과 22
 
12.4%
정 14
 
7.9%
관 10
 
5.6%
책 6
 
3.4%
보 6
 
3.4%
업 6
 
3.4%
원 5
 
2.8%
지 5
 
2.8%
행 4
 
2.3%
화 4
 
2.3%
Other values (56) 95
53.7%
Common
ValueCountFrequency (%)
2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 177
98.9%
ASCII 2
 
1.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
과 22
 
12.4%
정 14
 
7.9%
관 10
 
5.6%
책 6
 
3.4%
보 6
 
3.4%
업 6
 
3.4%
원 5
 
2.8%
지 5
 
2.8%
행 4
 
2.3%
화 4
 
2.3%
Other values (56) 95
53.7%
ASCII
ValueCountFrequency (%)
2
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
Minimum2024-03-27 00:00:00
Maximum2024-03-27 00:00:00
2024-04-06T17:15:51.007700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-06T17:15:51.220913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-04-06T17:15:46.084663image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-04-06T17:15:51.368117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번홈페이지명홈페이지주소담당부서
연번1.0001.0001.0000.847
홈페이지명1.0001.0001.0001.000
홈페이지주소1.0001.0001.0001.000
담당부서0.8471.0001.0001.000

Missing values

2024-04-06T17:15:46.310872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-06T17:15:46.588327image/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

연번홈페이지명홈페이지주소담당부서데이터기준일자
01전주시 대표 누리집jeonju.go.kr정보화정책과2024-03-27
12전주동물원zoo.jeonju.go.kr동물원2024-03-27
23전주시평생학습관e.jeonju.go.kr평생학습관2024-03-27
34전주음식food.jeonju.go.kr환경위생과2024-03-27
45비짓전주(VisitJeonju)tour.jeonju.go.kr관광산업과2024-03-27
56유네스코 음식창의도시 전주unesco.jeonju.go.kr관광산업과2024-03-27
67전주다움daum.jeonju.go.kr홍보담당관2024-03-27
78전주시 교통정보센터jeonjuits.go.kr대중교통과2024-03-27
89전주시 농업기술센터nongup.jeonju.go.kr농업기술과2024-03-27
910생활지리정보시스템map.jeonju.go.kr정보화정책과2024-03-27
연번홈페이지명홈페이지주소담당부서데이터기준일자
2223열린시장실jeonju.go.kr/mayor홍보담당관2024-03-27
2324동아시아문화도시 전주cceajj.jeonju.go.kr문화정책과2024-03-27
2425전주역사박물관.jeonju.go.kr/jeonjumuseum전주박물관2024-03-27
2526전주어진박물관jeonju.go.kr/eojinmuseum전주박물관2024-03-27
2627전주시 덕진구청deokjingu.jeonju.go.kr덕진구 행정지원과2024-03-27
2728전주시 완산구청wansangu.jeonju.go.kr완산구 행정지원과2024-03-27
2829음식물류폐기물 배출량 비례제관리시스템foodwaste.jeonju.go.kr청소지원과2024-03-27
2930전주전통문화연수원dongheon.or.kr한옥마을사업소2024-03-27
3031보훈누리공원bohunuri.kr생활복지과2024-03-27
3132정원문화센터gardencc.jjgcf.kr녹지정원과2024-03-27