Overview

Dataset statistics

Number of variables4
Number of observations34
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.2 KiB
Average record size in memory35.9 B

Variable types

Text4

Dataset

Description충청남도 논산시 아파트 관리사무소 현황 데이터로 관리사무소 명, 전화번호, 팩스번호, 주소 정보를 포함하고 있습니다.
Author충청남도 논산시
URLhttps://www.data.go.kr/data/15080927/fileData.do

Alerts

관리사무소명 has unique valuesUnique
주소 has unique valuesUnique
전화번호 has unique valuesUnique
FAX번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:40:09.598326
Analysis finished2023-12-11 23:40:09.979894
Duration0.38 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

관리사무소명
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T08:40:10.158191image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length7.7058824
Min length5

Characters and Unicode

Total characters262
Distinct characters82
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique34 ?
Unique (%)100.0%

Sample

1st row부창주공아파트
2nd row보성아파트
3rd row내동동신아파트
4th row개나리아파트
5th row아주아파트
ValueCountFrequency (%)
아파트 3
 
7.0%
코아루아파트 2
 
4.7%
모닝빌아파트 2
 
4.7%
내동lh 2
 
4.7%
부창주공아파트 1
 
2.3%
1단지 1
 
2.3%
골든팰리스 1
 
2.3%
인터불고 1
 
2.3%
취암 1
 
2.3%
보성아파트 1
 
2.3%
Other values (28) 28
65.1%
2023-12-12T08:40:10.581366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
아 38
 
14.5%
트 35
 
13.4%
파 34
 
13.0%
9
 
3.4%
리 6
 
2.3%
지 5
 
1.9%
빌 5
 
1.9%
동 5
 
1.9%
주 4
 
1.5%
취 4
 
1.5%
Other values (72) 117
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 242
92.4%
Space Separator 9
 
3.4%
Decimal Number 7
 
2.7%
Uppercase Letter 4
 
1.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
아 38
 
15.7%
트 35
 
14.5%
파 34
 
14.0%
리 6
 
2.5%
지 5
 
2.1%
빌 5
 
2.1%
동 5
 
2.1%
주 4
 
1.7%
취 4
 
1.7%
암 4
 
1.7%
Other values (67) 102
42.1%
Decimal Number
ValueCountFrequency (%)
2 4
57.1%
1 3
42.9%
Uppercase Letter
ValueCountFrequency (%)
H 2
50.0%
L 2
50.0%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 242
92.4%
Common 16
 
6.1%
Latin 4
 
1.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
아 38
 
15.7%
트 35
 
14.5%
파 34
 
14.0%
리 6
 
2.5%
지 5
 
2.1%
빌 5
 
2.1%
동 5
 
2.1%
주 4
 
1.7%
취 4
 
1.7%
암 4
 
1.7%
Other values (67) 102
42.1%
Common
ValueCountFrequency (%)
9
56.2%
2 4
25.0%
1 3
 
18.8%
Latin
ValueCountFrequency (%)
H 2
50.0%
L 2
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 242
92.4%
ASCII 20
 
7.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
아 38
 
15.7%
트 35
 
14.5%
파 34
 
14.0%
리 6
 
2.5%
지 5
 
2.1%
빌 5
 
2.1%
동 5
 
2.1%
주 4
 
1.7%
취 4
 
1.7%
암 4
 
1.7%
Other values (67) 102
42.1%
ASCII
ValueCountFrequency (%)
9
45.0%
2 4
20.0%
1 3
 
15.0%
H 2
 
10.0%
L 2
 
10.0%

주소
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T08:40:10.844555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length26.5
Mean length21.588235
Min length10

Characters and Unicode

Total characters734
Distinct characters111
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

Unique34 ?
Unique (%)100.0%

Sample

1st row 해월로 63-4(부창동,주공아파트)
2nd row 강경읍 옥녀봉로27번길 52(보성리버맨션아파트)
3rd row 체육로 48-6(내동,동신아파트)
4th row 시민로222번길 7(내동,개나리아파트)
5th row 체육로 18(내동,아주아파트)
ValueCountFrequency (%)
연무읍 4
 
4.8%
강경읍 4
 
4.8%
체육로 4
 
4.8%
해월로 2
 
2.4%
동안로 2
 
2.4%
대학로65번길 2
 
2.4%
시민로258번길 2
 
2.4%
시민로307번길 2
 
2.4%
시민로132번길 2
 
2.4%
안심로 2
 
2.4%
Other values (57) 57
68.7%
2023-12-12T08:40:11.268418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
74
 
10.1%
로 34
 
4.6%
( 32
 
4.4%
) 32
 
4.4%
동 31
 
4.2%
아 30
 
4.1%
파 28
 
3.8%
트 26
 
3.5%
2 24
 
3.3%
1 23
 
3.1%
Other values (101) 400
54.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 428
58.3%
Decimal Number 133
 
18.1%
Space Separator 74
 
10.1%
Open Punctuation 32
 
4.4%
Close Punctuation 32
 
4.4%
Other Punctuation 22
 
3.0%
Dash Punctuation 8
 
1.1%
Uppercase Letter 5
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 34
 
7.9%
동 31
 
7.2%
아 30
 
7.0%
파 28
 
6.5%
트 26
 
6.1%
길 19
 
4.4%
번 19
 
4.4%
대 14
 
3.3%
내 11
 
2.6%
지 9
 
2.1%
Other values (82) 207
48.4%
Decimal Number
ValueCountFrequency (%)
2 24
18.0%
1 23
17.3%
3 14
10.5%
9 13
9.8%
5 12
9.0%
8 11
8.3%
6 10
7.5%
0 10
7.5%
7 9
 
6.8%
4 7
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
L 2
40.0%
H 1
20.0%
A 1
20.0%
B 1
20.0%
Space Separator
ValueCountFrequency (%)
74
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Other Punctuation
ValueCountFrequency (%)
, 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 428
58.3%
Common 301
41.0%
Latin 5
 
0.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 34
 
7.9%
동 31
 
7.2%
아 30
 
7.0%
파 28
 
6.5%
트 26
 
6.1%
길 19
 
4.4%
번 19
 
4.4%
대 14
 
3.3%
내 11
 
2.6%
지 9
 
2.1%
Other values (82) 207
48.4%
Common
ValueCountFrequency (%)
74
24.6%
( 32
10.6%
) 32
10.6%
2 24
 
8.0%
1 23
 
7.6%
, 22
 
7.3%
3 14
 
4.7%
9 13
 
4.3%
5 12
 
4.0%
8 11
 
3.7%
Other values (5) 44
14.6%
Latin
ValueCountFrequency (%)
L 2
40.0%
H 1
20.0%
A 1
20.0%
B 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 428
58.3%
ASCII 306
41.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
74
24.2%
( 32
10.5%
) 32
10.5%
2 24
 
7.8%
1 23
 
7.5%
, 22
 
7.2%
3 14
 
4.6%
9 13
 
4.2%
5 12
 
3.9%
8 11
 
3.6%
Other values (9) 49
16.0%
Hangul
ValueCountFrequency (%)
로 34
 
7.9%
동 31
 
7.2%
아 30
 
7.0%
파 28
 
6.5%
트 26
 
6.1%
길 19
 
4.4%
번 19
 
4.4%
대 14
 
3.3%
내 11
 
2.6%
지 9
 
2.1%
Other values (82) 207
48.4%

전화번호
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T08:40:11.505472image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters272
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

Unique34 ?
Unique (%)100.0%

Sample

1st row735-3473
2nd row745-1785
3rd row735-8480
4th row736-6825
5th row732-4594
ValueCountFrequency (%)
735-3473 1
 
2.9%
745-1785 1
 
2.9%
741-6382 1
 
2.9%
736-8084 1
 
2.9%
741-6961 1
 
2.9%
732-6993 1
 
2.9%
733-0330 1
 
2.9%
735-1322 1
 
2.9%
733-1924 1
 
2.9%
742-6414 1
 
2.9%
Other values (24) 24
70.6%
2023-12-12T08:40:12.143459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 49
18.0%
7 43
15.8%
- 34
12.5%
4 26
9.6%
5 20
7.4%
8 20
7.4%
2 19
 
7.0%
6 17
 
6.2%
1 17
 
6.2%
0 15
 
5.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 238
87.5%
Dash Punctuation 34
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 49
20.6%
7 43
18.1%
4 26
10.9%
5 20
8.4%
8 20
8.4%
2 19
 
8.0%
6 17
 
7.1%
1 17
 
7.1%
0 15
 
6.3%
9 12
 
5.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 272
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 49
18.0%
7 43
15.8%
- 34
12.5%
4 26
9.6%
5 20
7.4%
8 20
7.4%
2 19
 
7.0%
6 17
 
6.2%
1 17
 
6.2%
0 15
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 272
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 49
18.0%
7 43
15.8%
- 34
12.5%
4 26
9.6%
5 20
7.4%
8 20
7.4%
2 19
 
7.0%
6 17
 
6.2%
1 17
 
6.2%
0 15
 
5.5%

FAX번호
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2023-12-12T08:40:12.381988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters272
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

Unique34 ?
Unique (%)100.0%

Sample

1st row735-3473
2nd row745-1784
3rd row736-8485
4th row736-6825
5th row732-4595
ValueCountFrequency (%)
735-3473 1
 
2.9%
745-1784 1
 
2.9%
741-6383 1
 
2.9%
736-8085 1
 
2.9%
741-6962 1
 
2.9%
732-6995 1
 
2.9%
733-0220 1
 
2.9%
735-1321 1
 
2.9%
733-1934 1
 
2.9%
742-6415 1
 
2.9%
Other values (24) 24
70.6%
2023-12-12T08:40:12.682899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3 46
16.9%
7 45
16.5%
- 34
12.5%
5 27
9.9%
4 23
8.5%
6 21
7.7%
2 20
7.4%
8 18
 
6.6%
1 14
 
5.1%
0 14
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 238
87.5%
Dash Punctuation 34
 
12.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 46
19.3%
7 45
18.9%
5 27
11.3%
4 23
9.7%
6 21
8.8%
2 20
8.4%
8 18
 
7.6%
1 14
 
5.9%
0 14
 
5.9%
9 10
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 272
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
3 46
16.9%
7 45
16.5%
- 34
12.5%
5 27
9.9%
4 23
8.5%
6 21
7.7%
2 20
7.4%
8 18
 
6.6%
1 14
 
5.1%
0 14
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 272
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3 46
16.9%
7 45
16.5%
- 34
12.5%
5 27
9.9%
4 23
8.5%
6 21
7.7%
2 20
7.4%
8 18
 
6.6%
1 14
 
5.1%
0 14
 
5.1%

Correlations

2023-12-12T08:40:12.770386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리사무소명주소전화번호FAX번호
관리사무소명1.0001.0001.0001.000
주소1.0001.0001.0001.000
전화번호1.0001.0001.0001.000
FAX번호1.0001.0001.0001.000

Missing values

2023-12-12T08:40:09.843247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:40:09.933207image/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

관리사무소명주소전화번호FAX번호
0부창주공아파트해월로 63-4(부창동,주공아파트)735-3473735-3473
1보성아파트강경읍 옥녀봉로27번길 52(보성리버맨션아파트)745-1785745-1784
2내동동신아파트체육로 48-6(내동,동신아파트)735-8480736-8485
3개나리아파트시민로222번길 7(내동,개나리아파트)736-6825736-6825
4아주아파트체육로 18(내동,아주아파트)732-4594732-4595
5놀뫼타운아파트체육로 30(내동,놀뫼타운아파트)735-6813736-7380
6강산동신아파트시민로307번길 19(강산동,동신아파트)735-7558736-7558
7부영아파트시민로307번길 28(강산동,부영아파트)732-5312732-5313
8대림아파트대림길 7(부창동,대림아파트)735-8431735-8432
9기산아파트연무읍 동안로 870(기산아파트)742-6414742-6415
관리사무소명주소전화번호FAX번호
24내동LH 2단지 아파트대학로65번길 19(내동,LH논산내동(2)지구 A-2BL)734-0969734-0959
25리벤하임아파트대학로65번길 46(내동, 리벤하임아파트)735-1884735-1885
26논산 대교 코아루아파트대화로133번길 13(대교동, 논산 대교 코아루)733-1924733-1934
27내동LH 1단지 아파트시민로132번길 10(내동,엘에이치논산내동1단지)735-1322735-1321
28취암 모닝빌아파트중앙로 281-6(취암동)733-0330733-0220
29인터불고 코아루아파트대화로119번길 11(대교동, 인터불고 코아루아파트)732-6993732-6995
30골든팰리스 아파트연무읍 안심로 150-22741-6961741-6962
31수린나아파트해월로 281(화지동)736-8084736-8085
32골든팰리스2차아파트연무읍 동안로828번길 3741-6382741-6383
33힐스테이트자이아파트시민로132번길 7736-9651736-9652