Overview

Dataset statistics

Number of variables3
Number of observations40
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.1 KiB
Average record size in memory27.3 B

Variable types

Categorical1
Text2

Dataset

Description2023년도 계룡시 관내 경로당 시설현황에 대한 데이터로서 경로당 명칭, 주소, 소재지 면동 에 관한 공공데이터를 제공합니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=310&beforeMenuCd=DOM_000000201001001000&publicdatapk=15093864

Alerts

경로당명 has unique valuesUnique
주소 has unique valuesUnique

Reproduction

Analysis started2024-01-09 20:36:11.569703
Analysis finished2024-01-09 20:36:11.854057
Duration0.28 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

면동
Categorical

Distinct4
Distinct (%)10.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
엄사면
21 
두마면
11 
금암동
7 
신도안면
 
1

Length

Max length4
Median length3
Mean length3.025
Min length3

Unique

Unique1 ?
Unique (%)2.5%

Sample

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

Common Values

ValueCountFrequency (%)
엄사면 21
52.5%
두마면 11
27.5%
금암동 7
 
17.5%
신도안면 1
 
2.5%

Length

2024-01-10T05:36:11.906364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T05:36:11.999840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
엄사면 21
52.5%
두마면 11
27.5%
금암동 7
 
17.5%
신도안면 1
 
2.5%

경로당명
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-01-10T05:36:12.142174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length10
Mean length5.5
Min length3

Characters and Unicode

Total characters220
Distinct characters73
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)100.0%

Sample

1st row두계1·3리
2nd row두계2리
3rd row왕대1리
4th row왕대2리
5th row입암리
ValueCountFrequency (%)
아파트 14
25.5%
두계1·3리 1
 
1.8%
블루힐스 1
 
1.8%
대동 1
 
1.8%
향한2리 1
 
1.8%
비사벌 1
 
1.8%
두산신성 1
 
1.8%
동아 1
 
1.8%
경남 1
 
1.8%
성원 1
 
1.8%
Other values (32) 32
58.2%
2024-01-10T05:36:12.416421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
리 20
 
9.1%
아 18
 
8.2%
파 17
 
7.7%
트 16
 
7.3%
15
 
6.8%
1 11
 
5.0%
2 11
 
5.0%
사 5
 
2.3%
계 5
 
2.3%
엄 4
 
1.8%
Other values (63) 98
44.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 171
77.7%
Decimal Number 27
 
12.3%
Space Separator 15
 
6.8%
Other Punctuation 3
 
1.4%
Uppercase Letter 2
 
0.9%
Lowercase Letter 1
 
0.5%
Dash Punctuation 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
리 20
 
11.7%
아 18
 
10.5%
파 17
 
9.9%
트 16
 
9.4%
사 5
 
2.9%
계 5
 
2.9%
엄 4
 
2.3%
성 4
 
2.3%
동 4
 
2.3%
대 4
 
2.3%
Other values (51) 74
43.3%
Decimal Number
ValueCountFrequency (%)
1 11
40.7%
2 11
40.7%
3 2
 
7.4%
4 2
 
7.4%
5 1
 
3.7%
Other Punctuation
ValueCountFrequency (%)
· 2
66.7%
. 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
H 1
50.0%
L 1
50.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 171
77.7%
Common 46
 
20.9%
Latin 3
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
리 20
 
11.7%
아 18
 
10.5%
파 17
 
9.9%
트 16
 
9.4%
사 5
 
2.9%
계 5
 
2.9%
엄 4
 
2.3%
성 4
 
2.3%
동 4
 
2.3%
대 4
 
2.3%
Other values (51) 74
43.3%
Common
ValueCountFrequency (%)
15
32.6%
1 11
23.9%
2 11
23.9%
3 2
 
4.3%
· 2
 
4.3%
4 2
 
4.3%
- 1
 
2.2%
5 1
 
2.2%
. 1
 
2.2%
Latin
ValueCountFrequency (%)
e 1
33.3%
H 1
33.3%
L 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 171
77.7%
ASCII 47
 
21.4%
None 2
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
리 20
 
11.7%
아 18
 
10.5%
파 17
 
9.9%
트 16
 
9.4%
사 5
 
2.9%
계 5
 
2.9%
엄 4
 
2.3%
성 4
 
2.3%
동 4
 
2.3%
대 4
 
2.3%
Other values (51) 74
43.3%
ASCII
ValueCountFrequency (%)
15
31.9%
1 11
23.4%
2 11
23.4%
3 2
 
4.3%
4 2
 
4.3%
e 1
 
2.1%
- 1
 
2.1%
H 1
 
2.1%
L 1
 
2.1%
5 1
 
2.1%
None
ValueCountFrequency (%)
· 2
100.0%

주소
Text

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2024-01-10T05:36:12.646765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length34
Mean length25.5
Min length15

Characters and Unicode

Total characters1020
Distinct characters102
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique40 ?
Unique (%)100.0%

Sample

1st row충청남도 계룡시 두마면 팥거리1길 9
2nd row충청남도 계룡시 두마면 팥거리로 114
3rd row충청남도 계룡시 두마면 왕대로 110
4th row충청남도 계룡시 두마면 왕대2길 24-6
5th row충청남도 계룡시 두마면 입암길 143
ValueCountFrequency (%)
충청남도 40
18.4%
계룡시 40
18.4%
엄사면 21
 
9.7%
두마면 11
 
5.1%
금암동 6
 
2.8%
경로당 5
 
2.3%
번영3길 4
 
1.8%
9 3
 
1.4%
엄사중앙로 3
 
1.4%
43 2
 
0.9%
Other values (79) 82
37.8%
2024-01-10T05:36:12.990166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
177
 
17.4%
계 44
 
4.3%
도 43
 
4.2%
남 42
 
4.1%
룡 41
 
4.0%
충 40
 
3.9%
시 40
 
3.9%
청 40
 
3.9%
면 33
 
3.2%
로 31
 
3.0%
Other values (92) 489
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 666
65.3%
Space Separator 177
 
17.4%
Decimal Number 120
 
11.8%
Open Punctuation 17
 
1.7%
Close Punctuation 17
 
1.7%
Dash Punctuation 15
 
1.5%
Other Punctuation 7
 
0.7%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
계 44
 
6.6%
도 43
 
6.5%
남 42
 
6.3%
룡 41
 
6.2%
충 40
 
6.0%
시 40
 
6.0%
청 40
 
6.0%
면 33
 
5.0%
로 31
 
4.7%
사 27
 
4.1%
Other values (75) 285
42.8%
Decimal Number
ValueCountFrequency (%)
1 31
25.8%
2 17
14.2%
3 14
11.7%
6 12
 
10.0%
5 11
 
9.2%
4 10
 
8.3%
9 7
 
5.8%
7 7
 
5.8%
8 6
 
5.0%
0 5
 
4.2%
Other Punctuation
ValueCountFrequency (%)
, 4
57.1%
@ 3
42.9%
Space Separator
ValueCountFrequency (%)
177
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 666
65.3%
Common 353
34.6%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
계 44
 
6.6%
도 43
 
6.5%
남 42
 
6.3%
룡 41
 
6.2%
충 40
 
6.0%
시 40
 
6.0%
청 40
 
6.0%
면 33
 
5.0%
로 31
 
4.7%
사 27
 
4.1%
Other values (75) 285
42.8%
Common
ValueCountFrequency (%)
177
50.1%
1 31
 
8.8%
2 17
 
4.8%
( 17
 
4.8%
) 17
 
4.8%
- 15
 
4.2%
3 14
 
4.0%
6 12
 
3.4%
5 11
 
3.1%
4 10
 
2.8%
Other values (6) 32
 
9.1%
Latin
ValueCountFrequency (%)
e 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 666
65.3%
ASCII 354
34.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
177
50.0%
1 31
 
8.8%
2 17
 
4.8%
( 17
 
4.8%
) 17
 
4.8%
- 15
 
4.2%
3 14
 
4.0%
6 12
 
3.4%
5 11
 
3.1%
4 10
 
2.8%
Other values (7) 33
 
9.3%
Hangul
ValueCountFrequency (%)
계 44
 
6.6%
도 43
 
6.5%
남 42
 
6.3%
룡 41
 
6.2%
충 40
 
6.0%
시 40
 
6.0%
청 40
 
6.0%
면 33
 
5.0%
로 31
 
4.7%
사 27
 
4.1%
Other values (75) 285
42.8%

Correlations

2024-01-10T05:36:13.080807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
면동경로당명주소
면동1.0001.0001.000
경로당명1.0001.0001.000
주소1.0001.0001.000

Missing values

2024-01-10T05:36:11.757802image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T05:36:11.827443image/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

면동경로당명주소
0두마면두계1·3리충청남도 계룡시 두마면 팥거리1길 9
1두마면두계2리충청남도 계룡시 두마면 팥거리로 114
2두마면왕대1리충청남도 계룡시 두마면 왕대로 110
3두마면왕대2리충청남도 계룡시 두마면 왕대2길 24-6
4두마면입암리충청남도 계룡시 두마면 입암길 143
5두마면농소1리충청남도 계룡시 두마면 대실길 181
6두마면농소2리충청남도 계룡시 두마면 대실길 131
7두마면e-편한세상 아파트충청남도 계룡시 두마면 사계로 51 (e편한아파트 경로당)
8두마면더 샵 아파트충청남도 계룡시 두마면 사계로 101 (더샾아파트 경로당)
9두마면계룡대실LH4단지 아파트충청남도 계룡시 두마면 대실남북로 82
면동경로당명주소
30엄사면블루힐스충청남도 계룡시 엄사면 계백로 3051 (블루힐스아파트경로당)
31엄사면파라디아충청남도 계룡시 엄사면 번영로 113-32 (계룡파라디아아파트경로당)
32신도안면해미르아파트충청남도 계룡시 신도안면 신도안3길 55
33금암동금암1통충청남도 계룡시 금암로 182 (금암동)
34금암동금암2통충청남도 계룡시 금암2길 6-1 (금암동)
35금암동신성1차 아파트충청남도 계룡시 장안1길 9 (금암동, 신성1차미소지움(아) 경로당)
36금암동신성2차 아파트충청남도 계룡시 서금암5길 9 (금암동, 신성2차미소지움@경로당)
37금암동우림 아파트충청남도 계룡시 장안로 75 (금암동, 우림아파트경로당)
38금암동주공 아파트충청남도 계룡시 서금암4길 6-9 (금암동, 금암주공아파트경로당)
39금암동계룡경로당충청남도 계룡시 금암로127