Overview

Dataset statistics

Number of variables6
Number of observations41
Missing cells35
Missing cells (%)14.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory51.2 B

Variable types

Categorical1
Text4
DateTime1

Dataset

Description2024년 1월 8일 기준, 산청군 관내 시설구분(문화, 체육, 복지), 시설명, 전화번호, 도로명주소, 홈페이지주소에 대한 자료입니다.
Author경상남도 산청군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15041746

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 4 (9.8%) missing valuesMissing
홈페이지 has 31 (75.6%) missing valuesMissing
시설명 has unique valuesUnique

Reproduction

Analysis started2024-03-13 00:09:41.115457
Analysis finished2024-03-13 00:09:41.577427
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

구분
Categorical

Distinct4
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size460.0 B
복지시설
29 
체육시설
7 
문화시설
3 
교육시설
 
2

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row교육시설
2nd row교육시설
3rd row문화시설
4th row문화시설
5th row문화시설

Common Values

ValueCountFrequency (%)
복지시설 29
70.7%
체육시설 7
 
17.1%
문화시설 3
 
7.3%
교육시설 2
 
4.9%

Length

2024-03-13T09:09:41.642026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-13T09:09:41.728290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
복지시설 29
70.7%
체육시설 7
 
17.1%
문화시설 3
 
7.3%
교육시설 2
 
4.9%

시설명
Text

UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size460.0 B
2024-03-13T09:09:41.910246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length8.1219512
Min length3

Characters and Unicode

Total characters333
Distinct characters93
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique41 ?
Unique (%)100.0%

Sample

1st row산청도서관
2nd row산청군청소년수련관
3rd row덕산문화의집
4th row산청문화예술회관
5th row기산국악당
ValueCountFrequency (%)
산청도서관 1
 
2.4%
산청해민노인통합지원센터 1
 
2.4%
산청선문노인요양원 1
 
2.4%
새미요양원 1
 
2.4%
산청한방실버타운 1
 
2.4%
이레사회복지시설 1
 
2.4%
산청군장애인심부름센터 1
 
2.4%
산청인애노인통합지원센터 1
 
2.4%
산청복음노인통합지원센터 1
 
2.4%
산청예심노인복지센터 1
 
2.4%
Other values (32) 32
76.2%
2024-03-13T09:09:42.199708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
산 28
 
8.4%
청 25
 
7.5%
인 16
 
4.8%
센 16
 
4.8%
터 16
 
4.8%
원 16
 
4.8%
지 13
 
3.9%
노 13
 
3.9%
복 11
 
3.3%
요 9
 
2.7%
Other values (83) 170
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 331
99.4%
Decimal Number 1
 
0.3%
Space Separator 1
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 28
 
8.5%
청 25
 
7.6%
인 16
 
4.8%
센 16
 
4.8%
터 16
 
4.8%
원 16
 
4.8%
지 13
 
3.9%
노 13
 
3.9%
복 11
 
3.3%
요 9
 
2.7%
Other values (81) 168
50.8%
Decimal Number
ValueCountFrequency (%)
2 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 331
99.4%
Common 2
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 28
 
8.5%
청 25
 
7.6%
인 16
 
4.8%
센 16
 
4.8%
터 16
 
4.8%
원 16
 
4.8%
지 13
 
3.9%
노 13
 
3.9%
복 11
 
3.3%
요 9
 
2.7%
Other values (81) 168
50.8%
Common
ValueCountFrequency (%)
2 1
50.0%
1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 331
99.4%
ASCII 2
 
0.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
산 28
 
8.5%
청 25
 
7.6%
인 16
 
4.8%
센 16
 
4.8%
터 16
 
4.8%
원 16
 
4.8%
지 13
 
3.9%
노 13
 
3.9%
복 11
 
3.3%
요 9
 
2.7%
Other values (81) 168
50.8%
ASCII
ValueCountFrequency (%)
2 1
50.0%
1
50.0%

전화번호
Text

MISSING 

Distinct32
Distinct (%)86.5%
Missing4
Missing (%)9.8%
Memory size460.0 B
2024-03-13T09:09:42.374974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.027027
Min length12

Characters and Unicode

Total characters445
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

Unique27 ?
Unique (%)73.0%

Sample

1st row055-973-2544
2nd row055-970-6591
3rd row055-974-0190
4th row055-970-6481
5th row055-970-6421
ValueCountFrequency (%)
055-974-1991 2
 
5.4%
055-974-0094 2
 
5.4%
055-973-9607 2
 
5.4%
055-973-6966 2
 
5.4%
055-974-0980 2
 
5.4%
055-973-5411 1
 
2.7%
055-974-1253 1
 
2.7%
055-973-1440 1
 
2.7%
055-972-1993 1
 
2.7%
055-973-8642 1
 
2.7%
Other values (22) 22
59.5%
2024-03-13T09:09:42.676510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 79
17.8%
0 75
16.9%
- 74
16.6%
9 62
13.9%
7 42
9.4%
4 39
8.8%
1 23
 
5.2%
3 17
 
3.8%
6 14
 
3.1%
8 11
 
2.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 371
83.4%
Dash Punctuation 74
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 79
21.3%
0 75
20.2%
9 62
16.7%
7 42
11.3%
4 39
10.5%
1 23
 
6.2%
3 17
 
4.6%
6 14
 
3.8%
8 11
 
3.0%
2 9
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 74
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 445
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 79
17.8%
0 75
16.9%
- 74
16.6%
9 62
13.9%
7 42
9.4%
4 39
8.8%
1 23
 
5.2%
3 17
 
3.8%
6 14
 
3.1%
8 11
 
2.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 445
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 79
17.8%
0 75
16.9%
- 74
16.6%
9 62
13.9%
7 42
9.4%
4 39
8.8%
1 23
 
5.2%
3 17
 
3.8%
6 14
 
3.1%
8 11
 
2.5%

주소
Text

Distinct30
Distinct (%)73.2%
Missing0
Missing (%)0.0%
Memory size460.0 B
2024-03-13T09:09:42.907355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length29
Mean length23.658537
Min length19

Characters and Unicode

Total characters970
Distinct characters67
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique20 ?
Unique (%)48.8%

Sample

1st row경상남도 산청군 산청읍 꽃봉산로79번길 45
2nd row경상남도 산청군 산청읍 웅석봉로 92
3rd row경상남도 산청군 시천면 남명로234번길 31
4th row경상남도 산청군 금서면 친환경로2631번길 12
5th row경상남도 산청군 단성면 상동길 69
ValueCountFrequency (%)
경상남도 41
20.0%
산청군 41
20.0%
산청읍 12
 
5.9%
금서면 9
 
4.4%
단성면 7
 
3.4%
신안면 6
 
2.9%
동의보감로312번길 4
 
2.0%
친환경로 3
 
1.5%
시천면 3
 
1.5%
친환경로2631번길 3
 
1.5%
Other values (54) 76
37.1%
2024-03-13T09:09:43.260984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
164
16.9%
산 62
 
6.4%
청 57
 
5.9%
경 48
 
4.9%
남 44
 
4.5%
상 42
 
4.3%
도 41
 
4.2%
군 41
 
4.2%
1 39
 
4.0%
로 38
 
3.9%
Other values (57) 394
40.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 620
63.9%
Decimal Number 178
 
18.4%
Space Separator 164
 
16.9%
Dash Punctuation 8
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 62
 
10.0%
청 57
 
9.2%
경 48
 
7.7%
남 44
 
7.1%
상 42
 
6.8%
도 41
 
6.6%
군 41
 
6.6%
로 38
 
6.1%
면 29
 
4.7%
길 25
 
4.0%
Other values (45) 193
31.1%
Decimal Number
ValueCountFrequency (%)
1 39
21.9%
2 28
15.7%
3 21
11.8%
7 19
10.7%
6 19
10.7%
9 15
 
8.4%
8 11
 
6.2%
4 9
 
5.1%
0 9
 
5.1%
5 8
 
4.5%
Space Separator
ValueCountFrequency (%)
164
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 620
63.9%
Common 350
36.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 62
 
10.0%
청 57
 
9.2%
경 48
 
7.7%
남 44
 
7.1%
상 42
 
6.8%
도 41
 
6.6%
군 41
 
6.6%
로 38
 
6.1%
면 29
 
4.7%
길 25
 
4.0%
Other values (45) 193
31.1%
Common
ValueCountFrequency (%)
164
46.9%
1 39
 
11.1%
2 28
 
8.0%
3 21
 
6.0%
7 19
 
5.4%
6 19
 
5.4%
9 15
 
4.3%
8 11
 
3.1%
4 9
 
2.6%
0 9
 
2.6%
Other values (2) 16
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 620
63.9%
ASCII 350
36.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
164
46.9%
1 39
 
11.1%
2 28
 
8.0%
3 21
 
6.0%
7 19
 
5.4%
6 19
 
5.4%
9 15
 
4.3%
8 11
 
3.1%
4 9
 
2.6%
0 9
 
2.6%
Other values (2) 16
 
4.6%
Hangul
ValueCountFrequency (%)
산 62
 
10.0%
청 57
 
9.2%
경 48
 
7.7%
남 44
 
7.1%
상 42
 
6.8%
도 41
 
6.6%
군 41
 
6.6%
로 38
 
6.1%
면 29
 
4.7%
길 25
 
4.0%
Other values (45) 193
31.1%

홈페이지
Text

MISSING 

Distinct10
Distinct (%)100.0%
Missing31
Missing (%)75.6%
Memory size460.0 B
2024-03-13T09:09:43.437502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length85
Median length35.5
Mean length31.7
Min length18

Characters and Unicode

Total characters317
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

Unique10 ?
Unique (%)100.0%

Sample

1st rowhttp://www.sanlib.or.kr/
2nd rowhttp://blog.naver.com/PostList.nhn?blogId=sancheong_youth&skinType=&skinId=&from=menu
3rd rowhttp://www.sungsim1.or.kr/
4th rowhttps://blog.naver.com/ohmark/221302235810
5th rowhttp://ssgh.or.kr/
ValueCountFrequency (%)
http://www.sanlib.or.kr 1
10.0%
http://blog.naver.com/postlist.nhn?blogid=sancheong_youth&skintype=&skinid=&from=menu 1
10.0%
http://www.sungsim1.or.kr 1
10.0%
https://blog.naver.com/ohmark/221302235810 1
10.0%
http://ssgh.or.kr 1
10.0%
http://sgst.or.kr 1
10.0%
http://www.withangel.co.kr 1
10.0%
http://www.koryeo.or.kr 1
10.0%
http://www.hanill.or.kr 1
10.0%
http://knangels1004.modoo.at 1
10.0%
2024-03-13T09:09:43.722311image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
/ 31
 
9.8%
. 26
 
8.2%
t 26
 
8.2%
o 22
 
6.9%
r 18
 
5.7%
h 17
 
5.4%
w 16
 
5.0%
n 15
 
4.7%
s 14
 
4.4%
k 12
 
3.8%
Other values (30) 120
37.9%

Most occurring categories

ValueCountFrequency (%)
Lowercase Letter 219
69.1%
Other Punctuation 71
 
22.4%
Decimal Number 17
 
5.4%
Uppercase Letter 5
 
1.6%
Math Symbol 4
 
1.3%
Connector Punctuation 1
 
0.3%

Most frequent character per category

Lowercase Letter
ValueCountFrequency (%)
t 26
11.9%
o 22
 
10.0%
r 18
 
8.2%
h 17
 
7.8%
w 16
 
7.3%
n 15
 
6.8%
s 14
 
6.4%
k 12
 
5.5%
p 11
 
5.0%
g 9
 
4.1%
Other values (12) 59
26.9%
Decimal Number
ValueCountFrequency (%)
0 4
23.5%
2 4
23.5%
1 4
23.5%
3 2
11.8%
5 1
 
5.9%
8 1
 
5.9%
4 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
/ 31
43.7%
. 26
36.6%
: 10
 
14.1%
& 3
 
4.2%
? 1
 
1.4%
Uppercase Letter
ValueCountFrequency (%)
I 2
40.0%
T 1
20.0%
L 1
20.0%
P 1
20.0%
Math Symbol
ValueCountFrequency (%)
= 4
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Latin 224
70.7%
Common 93
29.3%

Most frequent character per script

Latin
ValueCountFrequency (%)
t 26
11.6%
o 22
 
9.8%
r 18
 
8.0%
h 17
 
7.6%
w 16
 
7.1%
n 15
 
6.7%
s 14
 
6.2%
k 12
 
5.4%
p 11
 
4.9%
g 9
 
4.0%
Other values (16) 64
28.6%
Common
ValueCountFrequency (%)
/ 31
33.3%
. 26
28.0%
: 10
 
10.8%
0 4
 
4.3%
2 4
 
4.3%
1 4
 
4.3%
= 4
 
4.3%
& 3
 
3.2%
3 2
 
2.2%
_ 1
 
1.1%
Other values (4) 4
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 317
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
/ 31
 
9.8%
. 26
 
8.2%
t 26
 
8.2%
o 22
 
6.9%
r 18
 
5.7%
h 17
 
5.4%
w 16
 
5.0%
n 15
 
4.7%
s 14
 
4.4%
k 12
 
3.8%
Other values (30) 120
37.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size460.0 B
Minimum2020-11-20 00:00:00
Maximum2020-11-20 00:00:00
2024-03-13T09:09:43.830112image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-13T09:09:43.903454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2024-03-13T09:09:43.959025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
구분시설명전화번호주소홈페이지
구분1.0001.0001.0000.9621.000
시설명1.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.000
주소0.9621.0001.0001.0001.000
홈페이지1.0001.0001.0001.0001.000

Missing values

2024-03-13T09:09:41.345900image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-13T09:09:41.432162image/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.
2024-03-13T09:09:41.529146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

구분시설명전화번호주소홈페이지데이터기준일자
0교육시설산청도서관055-973-2544경상남도 산청군 산청읍 꽃봉산로79번길 45http://www.sanlib.or.kr/2020-11-20
1교육시설산청군청소년수련관055-970-6591경상남도 산청군 산청읍 웅석봉로 92http://blog.naver.com/PostList.nhn?blogId=sancheong_youth&skinType=&skinId=&from=menu2020-11-20
2문화시설덕산문화의집055-974-0190경상남도 산청군 시천면 남명로234번길 31<NA>2020-11-20
3문화시설산청문화예술회관055-970-6481경상남도 산청군 금서면 친환경로2631번길 12<NA>2020-11-20
4문화시설기산국악당055-970-6421경상남도 산청군 단성면 상동길 69<NA>2020-11-20
5체육시설산청공설운동장055-972-0075경상남도 산청군 금서면 친환경로2631번길 39<NA>2020-11-20
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