Overview

Dataset statistics

Number of variables3
Number of observations526
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.5 KiB
Average record size in memory24.3 B

Variable types

Text3

Dataset

Description대한건설협회 대전광역시지역 업체 현황에 대한 데이터로 건설 업체 상호명, 소재지, 전화번호 등의 항목을 제공합니다.
URLhttps://www.data.go.kr/data/15061023/fileData.do

Alerts

상 호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:56:15.589516
Analysis finished2023-12-12 03:56:16.273484
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

상 호
Text

UNIQUE 

Distinct526
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2023-12-12T12:56:16.537451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length15
Mean length8.1711027
Min length4

Characters and Unicode

Total characters4298
Distinct characters259
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

Unique526 ?
Unique (%)100.0%

Sample

1st row계룡건설산업(주)
2nd row금성건설(주)
3rd row(주)금성백조주택
4th row신도종합건설(주)
5th row구보종합건설(주)
ValueCountFrequency (%)
계룡건설산업(주 1
 
0.2%
주)이도종합건설 1
 
0.2%
주)이룸건설개발 1
 
0.2%
세양건설(주 1
 
0.2%
주)범주종합건설 1
 
0.2%
주)신풍종합건설 1
 
0.2%
주)우지종합건설 1
 
0.2%
동건종합건설(주 1
 
0.2%
주)정도종합건설 1
 
0.2%
주)이화건설 1
 
0.2%
Other values (518) 518
98.1%
2023-12-12T12:56:17.023004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 532
 
12.4%
( 524
 
12.2%
) 524
 
12.2%
건 396
 
9.2%
설 376
 
8.7%
종 177
 
4.1%
합 177
 
4.1%
이 106
 
2.5%
산 62
 
1.4%
업 62
 
1.4%
Other values (249) 1362
31.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3232
75.2%
Open Punctuation 524
 
12.2%
Close Punctuation 524
 
12.2%
Lowercase Letter 8
 
0.2%
Space Separator 5
 
0.1%
Decimal Number 2
 
< 0.1%
Uppercase Letter 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 532
16.5%
건 396
 
12.3%
설 376
 
11.6%
종 177
 
5.5%
합 177
 
5.5%
이 106
 
3.3%
산 62
 
1.9%
업 62
 
1.9%
에 46
 
1.4%
스 36
 
1.1%
Other values (234) 1262
39.0%
Lowercase Letter
ValueCountFrequency (%)
a 2
25.0%
e 1
12.5%
c 1
12.5%
l 1
12.5%
y 1
12.5%
t 1
12.5%
i 1
12.5%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
1 1
50.0%
Uppercase Letter
ValueCountFrequency (%)
P 1
50.0%
C 1
50.0%
Open Punctuation
ValueCountFrequency (%)
( 524
100.0%
Close Punctuation
ValueCountFrequency (%)
) 524
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3232
75.2%
Common 1056
 
24.6%
Latin 10
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 532
16.5%
건 396
 
12.3%
설 376
 
11.6%
종 177
 
5.5%
합 177
 
5.5%
이 106
 
3.3%
산 62
 
1.9%
업 62
 
1.9%
에 46
 
1.4%
스 36
 
1.1%
Other values (234) 1262
39.0%
Latin
ValueCountFrequency (%)
a 2
20.0%
e 1
10.0%
c 1
10.0%
l 1
10.0%
P 1
10.0%
y 1
10.0%
t 1
10.0%
i 1
10.0%
C 1
10.0%
Common
ValueCountFrequency (%)
( 524
49.6%
) 524
49.6%
5
 
0.5%
. 1
 
0.1%
2 1
 
0.1%
1 1
 
0.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3232
75.2%
ASCII 1066
 
24.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 532
16.5%
건 396
 
12.3%
설 376
 
11.6%
종 177
 
5.5%
합 177
 
5.5%
이 106
 
3.3%
산 62
 
1.9%
업 62
 
1.9%
에 46
 
1.4%
스 36
 
1.1%
Other values (234) 1262
39.0%
ASCII
ValueCountFrequency (%)
( 524
49.2%
) 524
49.2%
5
 
0.5%
a 2
 
0.2%
. 1
 
0.1%
2 1
 
0.1%
1 1
 
0.1%
e 1
 
0.1%
c 1
 
0.1%
l 1
 
0.1%
Other values (5) 5
 
0.5%

소재지
Text

Distinct522
Distinct (%)99.2%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2023-12-12T12:56:17.429011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length41
Mean length30.973384
Min length17

Characters and Unicode

Total characters16292
Distinct characters274
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

Unique518 ?
Unique (%)98.5%

Sample

1st row대전 서구 문정로48번길 48(탄방동)
2nd row대전 중구 선화로 82(선화동)
3rd row대전 서구 계룡로583번길 9(탄방동)
4th row대전 중구 동서대로 1231-1(태평동)
5th row대전광역시 동구 현암로 5(삼성동)
ValueCountFrequency (%)
대전광역시 479
 
17.3%
서구 184
 
6.6%
유성구 169
 
6.1%
중구 70
 
2.5%
대덕구 55
 
2.0%
동구 48
 
1.7%
대전 47
 
1.7%
대학로 12
 
0.4%
계룡로 11
 
0.4%
2층 11
 
0.4%
Other values (1154) 1687
60.8%
2023-12-12T12:56:18.100188image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2247
 
13.8%
대 780
 
4.8%
동 658
 
4.0%
1 612
 
3.8%
, 597
 
3.7%
전 560
 
3.4%
구 549
 
3.4%
( 525
 
3.2%
) 525
 
3.2%
로 517
 
3.2%
Other values (264) 8722
53.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9261
56.8%
Decimal Number 3032
 
18.6%
Space Separator 2247
 
13.8%
Other Punctuation 602
 
3.7%
Open Punctuation 525
 
3.2%
Close Punctuation 525
 
3.2%
Dash Punctuation 100
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 780
 
8.4%
동 658
 
7.1%
전 560
 
6.0%
구 549
 
5.9%
로 517
 
5.6%
시 497
 
5.4%
광 481
 
5.2%
역 479
 
5.2%
길 283
 
3.1%
번 274
 
3.0%
Other values (248) 4183
45.2%
Decimal Number
ValueCountFrequency (%)
1 612
20.2%
2 478
15.8%
0 354
11.7%
3 320
10.6%
4 270
8.9%
5 257
8.5%
7 205
 
6.8%
6 198
 
6.5%
9 177
 
5.8%
8 161
 
5.3%
Other Punctuation
ValueCountFrequency (%)
, 597
99.2%
. 5
 
0.8%
Space Separator
ValueCountFrequency (%)
2247
100.0%
Open Punctuation
ValueCountFrequency (%)
( 525
100.0%
Close Punctuation
ValueCountFrequency (%)
) 525
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9261
56.8%
Common 7031
43.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 780
 
8.4%
동 658
 
7.1%
전 560
 
6.0%
구 549
 
5.9%
로 517
 
5.6%
시 497
 
5.4%
광 481
 
5.2%
역 479
 
5.2%
길 283
 
3.1%
번 274
 
3.0%
Other values (248) 4183
45.2%
Common
ValueCountFrequency (%)
2247
32.0%
1 612
 
8.7%
, 597
 
8.5%
( 525
 
7.5%
) 525
 
7.5%
2 478
 
6.8%
0 354
 
5.0%
3 320
 
4.6%
4 270
 
3.8%
5 257
 
3.7%
Other values (6) 846
 
12.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9261
56.8%
ASCII 7031
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2247
32.0%
1 612
 
8.7%
, 597
 
8.5%
( 525
 
7.5%
) 525
 
7.5%
2 478
 
6.8%
0 354
 
5.0%
3 320
 
4.6%
4 270
 
3.8%
5 257
 
3.7%
Other values (6) 846
 
12.0%
Hangul
ValueCountFrequency (%)
대 780
 
8.4%
동 658
 
7.1%
전 560
 
6.0%
구 549
 
5.9%
로 517
 
5.6%
시 497
 
5.4%
광 481
 
5.2%
역 479
 
5.2%
길 283
 
3.1%
번 274
 
3.0%
Other values (248) 4183
45.2%

연락처
Text

Distinct523
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size4.2 KiB
2023-12-12T12:56:18.490933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length13
Mean length12.948669
Min length12

Characters and Unicode

Total characters6811
Distinct characters14
Distinct categories5 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique520 ?
Unique (%)98.9%

Sample

1st row(042)480-7114
2nd row(042)253-2121/5
3rd row(042)630-9595
4th row(042)523-3577
5th row(042)627-2800/3
ValueCountFrequency (%)
042)484-7222 2
 
0.4%
042)528-1600 2
 
0.4%
042)476-4300 2
 
0.4%
042)583-6407 1
 
0.2%
042)484-6878 1
 
0.2%
042-522-0481 1
 
0.2%
042-223-4109 1
 
0.2%
070-4300-5545 1
 
0.2%
042)536-0426 1
 
0.2%
042)221-0906 1
 
0.2%
Other values (513) 513
97.5%
2023-12-12T12:56:19.101899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 1080
15.9%
0 905
13.3%
4 895
13.1%
- 582
8.5%
( 470
6.9%
) 470
6.9%
8 470
6.9%
5 409
 
6.0%
3 364
 
5.3%
6 346
 
5.1%
Other values (4) 820
12.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5279
77.5%
Dash Punctuation 582
 
8.5%
Open Punctuation 470
 
6.9%
Close Punctuation 470
 
6.9%
Other Punctuation 10
 
0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 1080
20.5%
0 905
17.1%
4 895
17.0%
8 470
8.9%
5 409
 
7.7%
3 364
 
6.9%
6 346
 
6.6%
1 334
 
6.3%
7 294
 
5.6%
9 182
 
3.4%
Dash Punctuation
ValueCountFrequency (%)
- 582
100.0%
Open Punctuation
ValueCountFrequency (%)
( 470
100.0%
Close Punctuation
ValueCountFrequency (%)
) 470
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 6811
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 1080
15.9%
0 905
13.3%
4 895
13.1%
- 582
8.5%
( 470
6.9%
) 470
6.9%
8 470
6.9%
5 409
 
6.0%
3 364
 
5.3%
6 346
 
5.1%
Other values (4) 820
12.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 6811
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 1080
15.9%
0 905
13.3%
4 895
13.1%
- 582
8.5%
( 470
6.9%
) 470
6.9%
8 470
6.9%
5 409
 
6.0%
3 364
 
5.3%
6 346
 
5.1%
Other values (4) 820
12.0%

Missing values

2023-12-12T12:56:16.070589image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:56:16.222279image/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

상 호소재지연락처
0계룡건설산업(주)대전 서구 문정로48번길 48(탄방동)(042)480-7114
1금성건설(주)대전 중구 선화로 82(선화동)(042)253-2121/5
2(주)금성백조주택대전 서구 계룡로583번길 9(탄방동)(042)630-9595
3신도종합건설(주)대전 중구 동서대로 1231-1(태평동)(042)523-3577
4구보종합건설(주)대전광역시 동구 현암로 5(삼성동)(042)627-2800/3
5(주)부원건설대전광역시 중구 계룡로 832(오류동, 중도일보빌딩)(042)220-1080
6광일종합건설(주)대전 대덕구 덕암로137번길 10(덕암동)(042)632-1621/3
7새로운종합건설(주)대전 중구 동서대로 1231-1, 3층(태평동)(042)533-5600
8비씨종합건설(주)대전광역시 서구 계룡로553번길 18 (탄방동, 조이빌딩)(070)4282-8887
9(주)한국가스기술공사대전 유성구 대덕대로 1227(봉산동)(042)600-8067
상 호소재지연락처
516(주)한솔종합조경대전광역시 유성구 지족로 283, 603호(지족동, 드림타워)(042)331-0131
517영동조경건설(주)대전광역시 대덕구 대전로 1062, 203호(오정동)(042)286-3877
518삼불건설(주)대전광역시 유성구 유성대로719번길 1, 3층(장대동)(042)824-5155
519(주)태림조경개발대전광역시 유성구 유성대로 795-1, 포스빌딩 501호(장대동)(042)522-0170
520한밭조경대전광역시 유성구 원내로 38, 4층 401호(원내동, 원내코아)(042)527-1443
521(주)태보대전광역시 유성구 온천로 59, 1715호(봉명동, 동아벤처타워)(042)524-7271
522(주)한국종합건설대전광역시 유성구 노은로 150, 6층 605호(지족동, 드래곤랜드)042-822-9425
523엘에이종합건설(주)대전광역시 유성구 갑동로25번길 136, 2층(갑동)042-822-0990
524위엔지니어링(주)대전 유성구 한밭대로492번길 7, 4층(봉명동)(042)825-5833
525(주)승 환대전광역시 유성구 온천로 59, 1705호(봉명동, 동아벤처타워)070-4192-1902