Overview

Dataset statistics

Number of variables7
Number of observations71
Missing cells4
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 KiB
Average record size in memory57.9 B

Variable types

Text3
Categorical4

Dataset

Description대전광역시 유성구 인테리어업체 현황에 대한 데이터로 인테리어 업체명, 인테리어 업체종류, 소재지주소, 전화번호 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15038569/fileData.do

Alerts

인테리어업체종류 has constant value ""Constant
관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
전화번호 has 4 (5.6%) missing valuesMissing
인테리어업체명 has unique valuesUnique
소재지도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:47:14.774905
Analysis finished2023-12-12 08:47:15.323407
Duration0.55 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

인테리어업체명
Text

UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size700.0 B
2023-12-12T17:47:15.632147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length11
Mean length7.3661972
Min length2

Characters and Unicode

Total characters523
Distinct characters139
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

Unique71 ?
Unique (%)100.0%

Sample

1st row(주)골드건축
2nd row(주)더홈건축
3rd row(주)디자인수
4th row(주)디자인희훈
5th row(주)복산건설
ValueCountFrequency (%)
주)골드건축 1
 
1.4%
주식회사루다 1
 
1.4%
주식회사금영이엔지(kumyoungengco.，ltd 1
 
1.4%
인오종합건설㈜ 1
 
1.4%
이노버전스(주 1
 
1.4%
오상건설㈜ 1
 
1.4%
에스제이(sj)산업 1
 
1.4%
세윤디자인주식회사 1
 
1.4%
디자인드마리 1
 
1.4%
㈜해성아이앤지 1
 
1.4%
Other values (61) 61
85.9%
2023-12-12T17:47:16.129784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 41
 
7.8%
( 26
 
5.0%
) 26
 
5.0%
㈜ 25
 
4.8%
이 24
 
4.6%
건 22
 
4.2%
사 18
 
3.4%
디 18
 
3.4%
인 18
 
3.4%
식 17
 
3.3%
Other values (129) 288
55.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 426
81.5%
Open Punctuation 26
 
5.0%
Close Punctuation 26
 
5.0%
Other Symbol 25
 
4.8%
Uppercase Letter 15
 
2.9%
Lowercase Letter 3
 
0.6%
Other Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 41
 
9.6%
이 24
 
5.6%
건 22
 
5.2%
사 18
 
4.2%
디 18
 
4.2%
인 18
 
4.2%
식 17
 
4.0%
회 17
 
4.0%
설 15
 
3.5%
자 13
 
3.1%
Other values (109) 223
52.3%
Uppercase Letter
ValueCountFrequency (%)
G 2
13.3%
N 2
13.3%
U 2
13.3%
J 1
6.7%
S 1
6.7%
L 1
6.7%
C 1
6.7%
E 1
6.7%
O 1
6.7%
Y 1
6.7%
Other values (2) 2
13.3%
Lowercase Letter
ValueCountFrequency (%)
o 1
33.3%
t 1
33.3%
d 1
33.3%
Other Punctuation
ValueCountFrequency (%)
. 1
50.0%
， 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 25
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 451
86.2%
Common 54
 
10.3%
Latin 18
 
3.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 41
 
9.1%
㈜ 25
 
5.5%
이 24
 
5.3%
건 22
 
4.9%
사 18
 
4.0%
디 18
 
4.0%
인 18
 
4.0%
식 17
 
3.8%
회 17
 
3.8%
설 15
 
3.3%
Other values (110) 236
52.3%
Latin
ValueCountFrequency (%)
G 2
 
11.1%
N 2
 
11.1%
U 2
 
11.1%
o 1
 
5.6%
J 1
 
5.6%
S 1
 
5.6%
L 1
 
5.6%
C 1
 
5.6%
E 1
 
5.6%
t 1
 
5.6%
Other values (5) 5
27.8%
Common
ValueCountFrequency (%)
( 26
48.1%
) 26
48.1%
. 1
 
1.9%
， 1
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 426
81.5%
ASCII 71
 
13.6%
None 26
 
5.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 41
 
9.6%
이 24
 
5.6%
건 22
 
5.2%
사 18
 
4.2%
디 18
 
4.2%
인 18
 
4.2%
식 17
 
4.0%
회 17
 
4.0%
설 15
 
3.5%
자 13
 
3.1%
Other values (109) 223
52.3%
ASCII
ValueCountFrequency (%)
( 26
36.6%
) 26
36.6%
G 2
 
2.8%
N 2
 
2.8%
U 2
 
2.8%
o 1
 
1.4%
J 1
 
1.4%
S 1
 
1.4%
. 1
 
1.4%
L 1
 
1.4%
Other values (8) 8
 
11.3%
None
ValueCountFrequency (%)
㈜ 25
96.2%
， 1
 
3.8%

인테리어업체종류
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size700.0 B
실내건축공사업
71 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
실내건축공사업 71
100.0%

Length

2023-12-12T17:47:16.331572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:47:16.458956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실내건축공사업 71
100.0%

소재지도로명주소
Text

UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size700.0 B
2023-12-12T17:47:16.780753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length55
Median length36
Mean length30.661972
Min length21

Characters and Unicode

Total characters2177
Distinct characters137
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique71 ?
Unique (%)100.0%

Sample

1st row대전광역시 유성구 복용로12번길 27(복용동)
2nd row대전광역시 유성구 복용북로33번길 13(복용동)
3rd row대전광역시 유성구 구즉로48번길 26(송강동)
4th row대전광역시 유성구 원신흥로55번길 6-25 1층 (원신흥동)
5th row대전광역시 유성구 대학로 53 솔리안 402호 (봉명동)
ValueCountFrequency (%)
대전광역시 71
 
17.2%
유성구 71
 
17.2%
봉명동 9
 
2.2%
지족동 9
 
2.2%
구암동 7
 
1.7%
장대동 7
 
1.7%
대학로 6
 
1.5%
2층 6
 
1.5%
학하동 5
 
1.2%
원내동 4
 
1.0%
Other values (182) 217
52.7%
2023-12-12T17:47:17.314331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
341
 
15.7%
대 100
 
4.6%
1 85
 
3.9%
구 82
 
3.8%
동 82
 
3.8%
성 79
 
3.6%
유 78
 
3.6%
( 72
 
3.3%
) 72
 
3.3%
로 72
 
3.3%
Other values (127) 1114
51.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1244
57.1%
Decimal Number 398
 
18.3%
Space Separator 341
 
15.7%
Open Punctuation 72
 
3.3%
Close Punctuation 72
 
3.3%
Other Punctuation 32
 
1.5%
Dash Punctuation 16
 
0.7%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 100
 
8.0%
구 82
 
6.6%
동 82
 
6.6%
성 79
 
6.4%
유 78
 
6.3%
로 72
 
5.8%
광 71
 
5.7%
역 71
 
5.7%
시 71
 
5.7%
전 71
 
5.7%
Other values (108) 467
37.5%
Decimal Number
ValueCountFrequency (%)
1 85
21.4%
2 66
16.6%
3 42
10.6%
0 39
9.8%
4 35
8.8%
5 31
 
7.8%
8 28
 
7.0%
7 26
 
6.5%
6 26
 
6.5%
9 20
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 28
87.5%
. 2
 
6.2%
， 2
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
E 1
50.0%
Space Separator
ValueCountFrequency (%)
341
100.0%
Open Punctuation
ValueCountFrequency (%)
( 72
100.0%
Close Punctuation
ValueCountFrequency (%)
) 72
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1244
57.1%
Common 931
42.8%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 100
 
8.0%
구 82
 
6.6%
동 82
 
6.6%
성 79
 
6.4%
유 78
 
6.3%
로 72
 
5.8%
광 71
 
5.7%
역 71
 
5.7%
시 71
 
5.7%
전 71
 
5.7%
Other values (108) 467
37.5%
Common
ValueCountFrequency (%)
341
36.6%
1 85
 
9.1%
( 72
 
7.7%
) 72
 
7.7%
2 66
 
7.1%
3 42
 
4.5%
0 39
 
4.2%
4 35
 
3.8%
5 31
 
3.3%
, 28
 
3.0%
Other values (7) 120
 
12.9%
Latin
ValueCountFrequency (%)
C 1
50.0%
E 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1244
57.1%
ASCII 931
42.8%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
341
36.6%
1 85
 
9.1%
( 72
 
7.7%
) 72
 
7.7%
2 66
 
7.1%
3 42
 
4.5%
0 39
 
4.2%
4 35
 
3.8%
5 31
 
3.3%
, 28
 
3.0%
Other values (8) 120
 
12.9%
Hangul
ValueCountFrequency (%)
대 100
 
8.0%
구 82
 
6.6%
동 82
 
6.6%
성 79
 
6.4%
유 78
 
6.3%
로 72
 
5.8%
광 71
 
5.7%
역 71
 
5.7%
시 71
 
5.7%
전 71
 
5.7%
Other values (108) 467
37.5%
None
ValueCountFrequency (%)
， 2
100.0%

전화번호
Text

MISSING 

Distinct67
Distinct (%)100.0%
Missing4
Missing (%)5.6%
Memory size700.0 B
2023-12-12T17:47:17.587072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.044776
Min length12

Characters and Unicode

Total characters807
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

Unique67 ?
Unique (%)100.0%

Sample

1st row042-824-0365
2nd row042-532-0686
3rd row042-936-9007
4th row042-826-0764
5th row063-225-2804
ValueCountFrequency (%)
042-487-8925 1
 
1.5%
070-8065-5067 1
 
1.5%
042-825-5316 1
 
1.5%
042-825-6832 1
 
1.5%
042-824-5538 1
 
1.5%
042-822-6027 1
 
1.5%
042-710-8856 1
 
1.5%
042-343-6263 1
 
1.5%
042-822-6748 1
 
1.5%
042-826-2544 1
 
1.5%
Other values (57) 57
85.1%
2023-12-12T17:47:18.021078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 134
16.6%
2 133
16.5%
0 129
16.0%
4 105
13.0%
8 68
8.4%
5 57
7.1%
6 48
 
5.9%
7 47
 
5.8%
3 32
 
4.0%
1 28
 
3.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 673
83.4%
Dash Punctuation 134
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 133
19.8%
0 129
19.2%
4 105
15.6%
8 68
10.1%
5 57
8.5%
6 48
 
7.1%
7 47
 
7.0%
3 32
 
4.8%
1 28
 
4.2%
9 26
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 134
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 807
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 134
16.6%
2 133
16.5%
0 129
16.0%
4 105
13.0%
8 68
8.4%
5 57
7.1%
6 48
 
5.9%
7 47
 
5.8%
3 32
 
4.0%
1 28
 
3.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 807
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 134
16.6%
2 133
16.5%
0 129
16.0%
4 105
13.0%
8 68
8.4%
5 57
7.1%
6 48
 
5.9%
7 47
 
5.8%
3 32
 
4.0%
1 28
 
3.5%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size700.0 B
대전광역시 유성구
71 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대전광역시 유성구
2nd row대전광역시 유성구
3rd row대전광역시 유성구
4th row대전광역시 유성구
5th row대전광역시 유성구

Common Values

ValueCountFrequency (%)
대전광역시 유성구 71
100.0%

Length

2023-12-12T17:47:18.210913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:47:18.331753image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대전광역시 71
50.0%
유성구 71
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size700.0 B
042-611-2479
71 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row042-611-2479
2nd row042-611-2479
3rd row042-611-2479
4th row042-611-2479
5th row042-611-2479

Common Values

ValueCountFrequency (%)
042-611-2479 71
100.0%

Length

2023-12-12T17:47:18.492226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:47:18.655250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
042-611-2479 71
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size700.0 B
2023-05-19
71 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-05-19
2nd row2023-05-19
3rd row2023-05-19
4th row2023-05-19
5th row2023-05-19

Common Values

ValueCountFrequency (%)
2023-05-19 71
100.0%

Length

2023-12-12T17:47:18.803505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:47:18.933422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-05-19 71
100.0%

Correlations

2023-12-12T17:47:19.028876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인테리어업체명소재지도로명주소전화번호
인테리어업체명1.0001.0001.000
소재지도로명주소1.0001.0001.000
전화번호1.0001.0001.000

Missing values

2023-12-12T17:47:15.103647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:47:15.255894image/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

인테리어업체명인테리어업체종류소재지도로명주소전화번호관리기관명관리기관전화번호데이터기준일자
0(주)골드건축실내건축공사업대전광역시 유성구 복용로12번길 27(복용동)042-824-0365대전광역시 유성구042-611-24792023-05-19
1(주)더홈건축실내건축공사업대전광역시 유성구 복용북로33번길 13(복용동)042-532-0686대전광역시 유성구042-611-24792023-05-19
2(주)디자인수실내건축공사업대전광역시 유성구 구즉로48번길 26(송강동)042-936-9007대전광역시 유성구042-611-24792023-05-19
3(주)디자인희훈실내건축공사업대전광역시 유성구 원신흥로55번길 6-25 1층 (원신흥동)042-826-0764대전광역시 유성구042-611-24792023-05-19
4(주)복산건설실내건축공사업대전광역시 유성구 대학로 53 솔리안 402호 (봉명동)063-225-2804대전광역시 유성구042-611-24792023-05-19
5(주)블루라인실내건축공사업대전광역시 유성구 봉산북로11번길 15 (봉산동)<NA>대전광역시 유성구042-611-24792023-05-19
6(주)선비꼬마실내건축실내건축공사업대전광역시 유성구 월드컵대로245번길 10 2층 (구암동)042-625-5588대전광역시 유성구042-611-24792023-05-19
7(주)수디자인건축실내건축공사업대전광역시 유성구 진잠옛로 188 (학하동)042-823-0888대전광역시 유성구042-611-24792023-05-19
8(주)수목건설실내건축공사업대전광역시 유성구 유성대로719번길 8 2층 (장대동)042-825-1619대전광역시 유성구042-611-24792023-05-19
9(주)에이스하우징실내건축공사업대전광역시 유성구 지족로 367 504-1호 (지족동)042-487-8925대전광역시 유성구042-611-24792023-05-19
인테리어업체명인테리어업체종류소재지도로명주소전화번호관리기관명관리기관전화번호데이터기준일자
61주식회사은성아트실내건축공사업대전광역시 유성구 유성대로736번길 62, 101-2호 (장대동, 갤러리빌2)042-000-0000대전광역시 유성구042-611-24792023-05-19
62주식회사이튼알렌실내건축공사업대전광역시 유성구 현충원로 378 (구암동)042-478-7860대전광역시 유성구042-611-24792023-05-19
63주식회사제이와이테크실내건축공사업대전광역시 유성구 죽동로280번길 64, 103호(죽동)042-484-5051대전광역시 유성구042-611-24792023-05-19
64주식회사진우산업실내건축공사업대전광역시 유성구 대학로 27 1516호 (봉명동)042-369-9000대전광역시 유성구042-611-24792023-05-19
65주식회사케스코실내건축공사업대전광역시 유성구 진잠로160번길 31-2 (원내동)042-471-7991대전광역시 유성구042-611-24792023-05-19
66주식회사티케이건설실내건축공사업대전광역시 유성구 계룡로132번길 10 126호 (봉명동)070-7576-2753대전광역시 유성구042-611-24792023-05-19
67청운하우징㈜실내건축공사업대전광역시 유성구 장대로 94 (장대동)042-825-7650대전광역시 유성구042-611-24792023-05-19
68태양산업개발(주)실내건축공사업대전광역시 유성구 대학로81번길 38 301호 (궁동)042-823-6031대전광역시 유성구042-611-24792023-05-19
69태원건설산업㈜실내건축공사업대전광역시 유성구 은구비남로7번길 14-7, 201호 (지족동)042-826-6251대전광역시 유성구042-611-24792023-05-19
70플러스디아이(주)실내건축공사업대전광역시 유성구 지족로364번길 19 , 501호 성훈프라자 (지족동)042-822-4995대전광역시 유성구042-611-24792023-05-19