Overview

Dataset statistics

Number of variables6
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory52.6 B

Variable types

Text4
Categorical1
DateTime1

Dataset

Description대전광역시 대덕구 실내건축공사업체체 정보로 업체명, 대표자이름, 업종, 영업소재지 주소(도로명), 전화번호 등의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/15038438/fileData.do

Alerts

업종 has constant value ""Constant
데이터기준일자 has constant value ""Constant
상호 has unique valuesUnique
대표자 has unique valuesUnique
영업소재지(도로명주소) has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 04:49:18.027358
Analysis finished2023-12-12 04:49:18.483529
Duration0.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상호
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-12T13:49:18.683960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length7.6551724
Min length4

Characters and Unicode

Total characters222
Distinct characters69
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row(주)가현
2nd row(주)건설미공
3rd row(주)건원
4th row(주)고려인텍
5th row(주)대건이엔엘
ValueCountFrequency (%)
주)가현 1
 
3.4%
주)지엠월드텍 1
 
3.4%
주식회사동부아트 1
 
3.4%
주식회사굿하루 1
 
3.4%
우리공영주식회사 1
 
3.4%
예주건설주식회사 1
 
3.4%
예가인㈜ 1
 
3.4%
미주이엔지(주 1
 
3.4%
로하스산업 1
 
3.4%
동성건설(주 1
 
3.4%
Other values (19) 19
65.5%
2023-12-12T13:49:19.049133image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 28
 
12.6%
( 22
 
9.9%
) 22
 
9.9%
건 10
 
4.5%
이 10
 
4.5%
설 7
 
3.2%
인 6
 
2.7%
디 6
 
2.7%
사 4
 
1.8%
회 4
 
1.8%
Other values (59) 103
46.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 177
79.7%
Open Punctuation 22
 
9.9%
Close Punctuation 22
 
9.9%
Other Symbol 1
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 28
 
15.8%
건 10
 
5.6%
이 10
 
5.6%
설 7
 
4.0%
인 6
 
3.4%
디 6
 
3.4%
사 4
 
2.3%
회 4
 
2.3%
식 4
 
2.3%
스 4
 
2.3%
Other values (56) 94
53.1%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 178
80.2%
Common 44
 
19.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 28
 
15.7%
건 10
 
5.6%
이 10
 
5.6%
설 7
 
3.9%
인 6
 
3.4%
디 6
 
3.4%
사 4
 
2.2%
회 4
 
2.2%
식 4
 
2.2%
스 4
 
2.2%
Other values (57) 95
53.4%
Common
ValueCountFrequency (%)
( 22
50.0%
) 22
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 177
79.7%
ASCII 44
 
19.8%
None 1
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 28
 
15.8%
건 10
 
5.6%
이 10
 
5.6%
설 7
 
4.0%
인 6
 
3.4%
디 6
 
3.4%
사 4
 
2.3%
회 4
 
2.3%
식 4
 
2.3%
스 4
 
2.3%
Other values (56) 94
53.1%
ASCII
ValueCountFrequency (%)
( 22
50.0%
) 22
50.0%
None
ValueCountFrequency (%)
㈜ 1
100.0%

대표자
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-12T13:49:19.275454image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters87
Distinct characters48
Distinct categories1 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row이규영
2nd row민근식
3rd row강정섭
4th row조병구
5th row이선우
ValueCountFrequency (%)
이규영 1
 
3.4%
박강순 1
 
3.4%
이현구 1
 
3.4%
최소영 1
 
3.4%
강미석 1
 
3.4%
김형국 1
 
3.4%
장영준 1
 
3.4%
현광호 1
 
3.4%
정선영 1
 
3.4%
이정철 1
 
3.4%
Other values (19) 19
65.5%
2023-12-12T13:49:19.598278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 7
 
8.0%
영 5
 
5.7%
김 5
 
5.7%
정 4
 
4.6%
현 4
 
4.6%
강 3
 
3.4%
선 3
 
3.4%
재 3
 
3.4%
최 2
 
2.3%
석 2
 
2.3%
Other values (38) 49
56.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 87
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 7
 
8.0%
영 5
 
5.7%
김 5
 
5.7%
정 4
 
4.6%
현 4
 
4.6%
강 3
 
3.4%
선 3
 
3.4%
재 3
 
3.4%
최 2
 
2.3%
석 2
 
2.3%
Other values (38) 49
56.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 87
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 7
 
8.0%
영 5
 
5.7%
김 5
 
5.7%
정 4
 
4.6%
현 4
 
4.6%
강 3
 
3.4%
선 3
 
3.4%
재 3
 
3.4%
최 2
 
2.3%
석 2
 
2.3%
Other values (38) 49
56.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 87
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 7
 
8.0%
영 5
 
5.7%
김 5
 
5.7%
정 4
 
4.6%
현 4
 
4.6%
강 3
 
3.4%
선 3
 
3.4%
재 3
 
3.4%
최 2
 
2.3%
석 2
 
2.3%
Other values (38) 49
56.3%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
실내건축공사업
29 

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 29
100.0%

Length

2023-12-12T13:49:19.724995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:49:19.818659image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
실내건축공사업 29
100.0%

영업소재지(도로명주소)
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-12T13:49:20.034362image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length34
Mean length29.241379
Min length23

Characters and Unicode

Total characters848
Distinct characters72
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique29 ?
Unique (%)100.0%

Sample

1st row대전광역시 대덕구 오정로64번길 10 (오정동)
2nd row대전광역시 대덕구 새말3길 14 (상서동)
3rd row대전광역시 대덕구 한밭대로 1015, 1층 (오정동, 하나클리닉)
4th row대전광역시 대덕구 대전로1370번길 13-4 (읍내동)
5th row대전광역시 대덕구 한밭대로 1044 (오정동)
ValueCountFrequency (%)
대전광역시 29
17.8%
대덕구 29
17.8%
오정동 12
 
7.4%
중리동 5
 
3.1%
1층 5
 
3.1%
한밭대로 4
 
2.5%
송촌동 3
 
1.8%
2층 3
 
1.8%
대화로 2
 
1.2%
비래동 2
 
1.2%
Other values (66) 69
42.3%
2023-12-12T13:49:20.429104image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
134
 
15.8%
대 72
 
8.5%
1 43
 
5.1%
전 32
 
3.8%
동 32
 
3.8%
광 29
 
3.4%
역 29
 
3.4%
시 29
 
3.4%
덕 29
 
3.4%
구 29
 
3.4%
Other values (62) 390
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 491
57.9%
Decimal Number 149
 
17.6%
Space Separator 134
 
15.8%
Close Punctuation 29
 
3.4%
Open Punctuation 29
 
3.4%
Other Punctuation 9
 
1.1%
Dash Punctuation 7
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 72
14.7%
전 32
 
6.5%
동 32
 
6.5%
광 29
 
5.9%
역 29
 
5.9%
시 29
 
5.9%
덕 29
 
5.9%
구 29
 
5.9%
로 28
 
5.7%
길 21
 
4.3%
Other values (47) 161
32.8%
Decimal Number
ValueCountFrequency (%)
1 43
28.9%
4 18
12.1%
3 17
 
11.4%
0 15
 
10.1%
2 15
 
10.1%
9 11
 
7.4%
8 9
 
6.0%
5 9
 
6.0%
6 6
 
4.0%
7 6
 
4.0%
Space Separator
ValueCountFrequency (%)
134
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Other Punctuation
ValueCountFrequency (%)
, 9
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 491
57.9%
Common 357
42.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 72
14.7%
전 32
 
6.5%
동 32
 
6.5%
광 29
 
5.9%
역 29
 
5.9%
시 29
 
5.9%
덕 29
 
5.9%
구 29
 
5.9%
로 28
 
5.7%
길 21
 
4.3%
Other values (47) 161
32.8%
Common
ValueCountFrequency (%)
134
37.5%
1 43
 
12.0%
) 29
 
8.1%
( 29
 
8.1%
4 18
 
5.0%
3 17
 
4.8%
0 15
 
4.2%
2 15
 
4.2%
9 11
 
3.1%
8 9
 
2.5%
Other values (5) 37
 
10.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 491
57.9%
ASCII 357
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
134
37.5%
1 43
 
12.0%
) 29
 
8.1%
( 29
 
8.1%
4 18
 
5.0%
3 17
 
4.8%
0 15
 
4.2%
2 15
 
4.2%
9 11
 
3.1%
8 9
 
2.5%
Other values (5) 37
 
10.4%
Hangul
ValueCountFrequency (%)
대 72
14.7%
전 32
 
6.5%
동 32
 
6.5%
광 29
 
5.9%
역 29
 
5.9%
시 29
 
5.9%
덕 29
 
5.9%
구 29
 
5.9%
로 28
 
5.7%
길 21
 
4.3%
Other values (47) 161
32.8%

전화번호
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-12T13:49:20.713475image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.034483
Min length12

Characters and Unicode

Total characters349
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

Unique29 ?
Unique (%)100.0%

Sample

1st row042-637-9983
2nd row042-935-5580
3rd row042-637-2027
4th row042-716-5654
5th row042-627-3311
ValueCountFrequency (%)
042-637-9983 1
 
3.4%
042-632-8870 1
 
3.4%
042-631-8900 1
 
3.4%
042-523-9600 1
 
3.4%
042-476-8282 1
 
3.4%
042-472-5130 1
 
3.4%
042-824-9258 1
 
3.4%
042-935-9275 1
 
3.4%
042-626-9068 1
 
3.4%
042-637-0055 1
 
3.4%
Other values (19) 19
65.5%
2023-12-12T13:49:21.102282image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 60
17.2%
- 58
16.6%
0 53
15.2%
4 45
12.9%
6 31
8.9%
7 21
 
6.0%
5 21
 
6.0%
3 20
 
5.7%
8 15
 
4.3%
9 13
 
3.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 291
83.4%
Dash Punctuation 58
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 60
20.6%
0 53
18.2%
4 45
15.5%
6 31
10.7%
7 21
 
7.2%
5 21
 
7.2%
3 20
 
6.9%
8 15
 
5.2%
9 13
 
4.5%
1 12
 
4.1%
Dash Punctuation
ValueCountFrequency (%)
- 58
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 349
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 60
17.2%
- 58
16.6%
0 53
15.2%
4 45
12.9%
6 31
8.9%
7 21
 
6.0%
5 21
 
6.0%
3 20
 
5.7%
8 15
 
4.3%
9 13
 
3.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 349
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 60
17.2%
- 58
16.6%
0 53
15.2%
4 45
12.9%
6 31
8.9%
7 21
 
6.0%
5 21
 
6.0%
3 20
 
5.7%
8 15
 
4.3%
9 13
 
3.7%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2023-05-16 00:00:00
Maximum2023-05-16 00:00:00
2023-12-12T13:49:21.262217image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:49:21.381911image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Correlations

2023-12-12T13:49:21.474083image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
상호대표자영업소재지(도로명주소)전화번호
상호1.0001.0001.0001.000
대표자1.0001.0001.0001.000
영업소재지(도로명주소)1.0001.0001.0001.000
전화번호1.0001.0001.0001.000

Missing values

2023-12-12T13:49:18.316177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:49:18.436587image/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

상호대표자업종영업소재지(도로명주소)전화번호데이터기준일자
0(주)가현이규영실내건축공사업대전광역시 대덕구 오정로64번길 10 (오정동)042-637-99832023-05-16
1(주)건설미공민근식실내건축공사업대전광역시 대덕구 새말3길 14 (상서동)042-935-55802023-05-16
2(주)건원강정섭실내건축공사업대전광역시 대덕구 한밭대로 1015, 1층 (오정동, 하나클리닉)042-637-20272023-05-16
3(주)고려인텍조병구실내건축공사업대전광역시 대덕구 대전로1370번길 13-4 (읍내동)042-716-56542023-05-16
4(주)대건이엔엘이선우실내건축공사업대전광역시 대덕구 한밭대로 1044 (오정동)042-627-33112023-05-16
5(주)도연스페이스이성국실내건축공사업대전광역시 대덕구 한밭대로1024번길 27, 101호 (오정동)042-624-73942023-05-16
6(주)도원하우징최재주실내건축공사업대전광역시 대덕구 대화로 69 2층 (대화동)042-472-04822023-05-16
7(주)두꺼비인테리어디자인김재형실내건축공사업대전광역시 대덕구 중리로31번길 14-18 , 1층 (중리동)042-623-14202023-05-16
8(주)미성아이디김재희실내건축공사업대전광역시 대덕구 비래동로32번길 63 1층 (비래동)042-621-77482023-05-16
9(주)신성건설전영기실내건축공사업대전광역시 대덕구 대전로 1062 301호 (오정동)042-471-07042023-05-16
상호대표자업종영업소재지(도로명주소)전화번호데이터기준일자
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