Overview

Dataset statistics

Number of variables10
Number of observations32
Missing cells1
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory85.1 B

Variable types

Numeric1
Text7
DateTime1
Categorical1

Dataset

Description해당 파일 건은 현재 남해군에 등록되어 있는 건축업체의 업종별 현황에 대한 데이터 입니다. 업체명 엽업소재지(도로명 주소)를 포함하고 있습니다..
Author경상남도 남해군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15127112

Alerts

사업자등록번호 has 1 (3.1%) missing valuesMissing
연번 has unique valuesUnique
업체명 has unique valuesUnique
대표자 has unique valuesUnique
등록번호 has unique valuesUnique

Reproduction

Analysis started2024-03-30 09:17:26.524342
Analysis finished2024-03-30 09:17:33.272750
Duration6.75 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean16.5
Minimum1
Maximum32
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size420.0 B
2024-03-30T09:17:33.455508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.55
Q18.75
median16.5
Q324.25
95-th percentile30.45
Maximum32
Range31
Interquartile range (IQR)15.5

Descriptive statistics

Standard deviation9.3808315
Coefficient of variation (CV)0.56853524
Kurtosis-1.2
Mean16.5
Median Absolute Deviation (MAD)8
Skewness0
Sum528
Variance88
MonotonicityStrictly increasing
2024-03-30T09:17:33.987412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=32)
ValueCountFrequency (%)
1 1
 
3.1%
18 1
 
3.1%
32 1
 
3.1%
31 1
 
3.1%
30 1
 
3.1%
29 1
 
3.1%
28 1
 
3.1%
27 1
 
3.1%
26 1
 
3.1%
25 1
 
3.1%
Other values (22) 22
68.8%
ValueCountFrequency (%)
1 1
3.1%
2 1
3.1%
3 1
3.1%
4 1
3.1%
5 1
3.1%
6 1
3.1%
7 1
3.1%
8 1
3.1%
9 1
3.1%
10 1
3.1%
ValueCountFrequency (%)
32 1
3.1%
31 1
3.1%
30 1
3.1%
29 1
3.1%
28 1
3.1%
27 1
3.1%
26 1
3.1%
25 1
3.1%
24 1
3.1%
23 1
3.1%

업체명
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-03-30T09:17:34.689856image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length7.71875
Min length5

Characters and Unicode

Total characters247
Distinct characters62
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row(주)금강종합건설
2nd row(주)다짐건설
3rd row(주)민수종합건설
4th row(주)성림
5th row(주)성산건설
ValueCountFrequency (%)
주)금강종합건설 1
 
3.1%
주)다짐건설 1
 
3.1%
창진건설(주 1
 
3.1%
주은건설(주 1
 
3.1%
주식회사현대 1
 
3.1%
주식회사동림 1
 
3.1%
주식회사가람 1
 
3.1%
이룸건설(주 1
 
3.1%
신아종합건설(주 1
 
3.1%
성훈종합건설(주 1
 
3.1%
Other values (22) 22
68.8%
2024-03-30T09:17:35.766604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 33
13.4%
( 29
11.7%
) 29
11.7%
건 24
 
9.7%
설 22
 
8.9%
종 13
 
5.3%
합 13
 
5.3%
성 6
 
2.4%
사 3
 
1.2%
회 3
 
1.2%
Other values (52) 72
29.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 189
76.5%
Open Punctuation 29
 
11.7%
Close Punctuation 29
 
11.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 33
17.5%
건 24
 
12.7%
설 22
 
11.6%
종 13
 
6.9%
합 13
 
6.9%
성 6
 
3.2%
사 3
 
1.6%
회 3
 
1.6%
식 3
 
1.6%
진 3
 
1.6%
Other values (50) 66
34.9%
Open Punctuation
ValueCountFrequency (%)
( 29
100.0%
Close Punctuation
ValueCountFrequency (%)
) 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 189
76.5%
Common 58
 
23.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 33
17.5%
건 24
 
12.7%
설 22
 
11.6%
종 13
 
6.9%
합 13
 
6.9%
성 6
 
3.2%
사 3
 
1.6%
회 3
 
1.6%
식 3
 
1.6%
진 3
 
1.6%
Other values (50) 66
34.9%
Common
ValueCountFrequency (%)
( 29
50.0%
) 29
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 189
76.5%
ASCII 58
 
23.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 33
17.5%
건 24
 
12.7%
설 22
 
11.6%
종 13
 
6.9%
합 13
 
6.9%
성 6
 
3.2%
사 3
 
1.6%
회 3
 
1.6%
식 3
 
1.6%
진 3
 
1.6%
Other values (50) 66
34.9%
ASCII
ValueCountFrequency (%)
( 29
50.0%
) 29
50.0%

대표자
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-03-30T09:17:36.427042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters96
Distinct characters59
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

Unique32 ?
Unique (%)100.0%

Sample

1st row박영순
2nd row최수지
3rd row고정옥
4th row조헌길
5th row정월봉
ValueCountFrequency (%)
박영순 1
 
3.1%
최수지 1
 
3.1%
허정철 1
 
3.1%
김정주 1
 
3.1%
이소은 1
 
3.1%
김동윤 1
 
3.1%
박석만 1
 
3.1%
명재희 1
 
3.1%
김이숙 1
 
3.1%
신문장 1
 
3.1%
Other values (22) 22
68.8%
2024-03-30T09:17:37.402295image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
정 6
 
6.2%
김 6
 
6.2%
박 5
 
5.2%
영 4
 
4.2%
최 3
 
3.1%
원 3
 
3.1%
철 3
 
3.1%
이 3
 
3.1%
상 2
 
2.1%
희 2
 
2.1%
Other values (49) 59
61.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 96
100.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
정 6
 
6.2%
김 6
 
6.2%
박 5
 
5.2%
영 4
 
4.2%
최 3
 
3.1%
원 3
 
3.1%
철 3
 
3.1%
이 3
 
3.1%
상 2
 
2.1%
희 2
 
2.1%
Other values (49) 59
61.5%

Most occurring scripts

ValueCountFrequency (%)
Hangul 96
100.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
정 6
 
6.2%
김 6
 
6.2%
박 5
 
5.2%
영 4
 
4.2%
최 3
 
3.1%
원 3
 
3.1%
철 3
 
3.1%
이 3
 
3.1%
상 2
 
2.1%
희 2
 
2.1%
Other values (49) 59
61.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 96
100.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
정 6
 
6.2%
김 6
 
6.2%
박 5
 
5.2%
영 4
 
4.2%
최 3
 
3.1%
원 3
 
3.1%
철 3
 
3.1%
이 3
 
3.1%
상 2
 
2.1%
희 2
 
2.1%
Other values (49) 59
61.5%

업체등록일자
Date

Distinct30
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
Minimum1994-12-10 00:00:00
Maximum2023-08-18 00:00:00
2024-03-30T09:17:37.848874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-30T09:17:38.410291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)

업종
Categorical

Distinct9
Distinct (%)28.1%
Missing0
Missing (%)0.0%
Memory size388.0 B
토목공사업
13 
건축공사업
9 
건축공사업 토목공사업
3 
토목건축공사업
2 
토목공사업 건축공사업
 
1
Other values (4)
4 

Length

Max length25
Median length5
Mean length7.25
Min length5

Unique

Unique5 ?
Unique (%)15.6%

Sample

1st row토목건축공사업
2nd row토목공사업
3rd row토목공사업 건축공사업
4th row토목공사업
5th row건축공사업

Common Values

ValueCountFrequency (%)
토목공사업 13
40.6%
건축공사업 9
28.1%
건축공사업 토목공사업 3
 
9.4%
토목건축공사업 2
 
6.2%
토목공사업 건축공사업 1
 
3.1%
조경공사업 1
 
3.1%
건축공사업 토목공사업 건축공사업(등록말소) 1
 
3.1%
조경공사업 토목공사업 1
 
3.1%
토목건축공사업 조경공사업 토목공사업(자진반납) 1
 
3.1%

Length

2024-03-30T09:17:38.734787image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-30T09:17:39.161813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
토목공사업 19
46.3%
건축공사업 14
34.1%
토목건축공사업 3
 
7.3%
조경공사업 3
 
7.3%
건축공사업(등록말소 1
 
2.4%
토목공사업(자진반납 1
 
2.4%

등록번호
Text

UNIQUE 

Distinct32
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-03-30T09:17:39.727349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length7
Mean length8.8125
Min length5

Characters and Unicode

Total characters282
Distinct characters13
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)100.0%

Sample

1st row17-0169
2nd row17-0778
3rd row17-0831 10-2368
4th row60131
5th row17-1211
ValueCountFrequency (%)
17-0169 1
 
2.4%
10-3145 1
 
2.4%
16-0457 1
 
2.4%
02-0181 1
 
2.4%
제17-0714 1
 
2.4%
01-0327 1
 
2.4%
17-0488 1
 
2.4%
170217 1
 
2.4%
170230 1
 
2.4%
170007 1
 
2.4%
Other values (31) 31
75.6%
2024-03-30T09:17:40.989942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 63
22.3%
0 50
17.7%
7 42
14.9%
- 29
10.3%
2 22
 
7.8%
4 14
 
5.0%
9 12
 
4.3%
5 12
 
4.3%
8 11
 
3.9%
3 10
 
3.5%
Other values (3) 17
 
6.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 242
85.8%
Dash Punctuation 29
 
10.3%
Space Separator 9
 
3.2%
Other Letter 2
 
0.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 63
26.0%
0 50
20.7%
7 42
17.4%
2 22
 
9.1%
4 14
 
5.8%
9 12
 
5.0%
5 12
 
5.0%
8 11
 
4.5%
3 10
 
4.1%
6 6
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%
Other Letter
ValueCountFrequency (%)
제 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 280
99.3%
Hangul 2
 
0.7%

Most frequent character per script

Common
ValueCountFrequency (%)
1 63
22.5%
0 50
17.9%
7 42
15.0%
- 29
10.4%
2 22
 
7.9%
4 14
 
5.0%
9 12
 
4.3%
5 12
 
4.3%
8 11
 
3.9%
3 10
 
3.6%
Other values (2) 15
 
5.4%
Hangul
ValueCountFrequency (%)
제 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 280
99.3%
Hangul 2
 
0.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 63
22.5%
0 50
17.9%
7 42
15.0%
- 29
10.4%
2 22
 
7.9%
4 14
 
5.0%
9 12
 
4.3%
5 12
 
4.3%
8 11
 
3.9%
3 10
 
3.6%
Other values (2) 15
 
5.4%
Hangul
ValueCountFrequency (%)
제 2
100.0%

등록일
Text

Distinct30
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-03-30T09:17:41.613913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length10
Mean length13.09375
Min length10

Characters and Unicode

Total characters419
Distinct characters12
Distinct categories3 ?
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 (%)90.6%

Sample

1st row2005-04-19
2nd row2022-01-01
3rd row2022-01-01 2012-09-10
4th row1998-09-16
5th row2022-03-15
ValueCountFrequency (%)
2022-01-01 4
 
9.8%
1999-04-15 1
 
2.4%
2009-03-26 1
 
2.4%
2019-10-02 1
 
2.4%
2013-03-25 1
 
2.4%
2005-02-18 1
 
2.4%
2001-01-17 1
 
2.4%
2001-05-23 1
 
2.4%
1999-10-14 1
 
2.4%
2005-05-26 1
 
2.4%
Other values (28) 28
68.3%
2024-03-30T09:17:42.874897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 105
25.1%
- 82
19.6%
2 78
18.6%
1 58
13.8%
9 33
 
7.9%
5 12
 
2.9%
4 10
 
2.4%
3 10
 
2.4%
9
 
2.1%
6 9
 
2.1%
Other values (2) 13
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 328
78.3%
Dash Punctuation 82
 
19.6%
Space Separator 9
 
2.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 105
32.0%
2 78
23.8%
1 58
17.7%
9 33
 
10.1%
5 12
 
3.7%
4 10
 
3.0%
3 10
 
3.0%
6 9
 
2.7%
8 7
 
2.1%
7 6
 
1.8%
Dash Punctuation
ValueCountFrequency (%)
- 82
100.0%
Space Separator
ValueCountFrequency (%)
9
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 419
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 105
25.1%
- 82
19.6%
2 78
18.6%
1 58
13.8%
9 33
 
7.9%
5 12
 
2.9%
4 10
 
2.4%
3 10
 
2.4%
9
 
2.1%
6 9
 
2.1%
Other values (2) 13
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 419
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 105
25.1%
- 82
19.6%
2 78
18.6%
1 58
13.8%
9 33
 
7.9%
5 12
 
2.9%
4 10
 
2.4%
3 10
 
2.4%
9
 
2.1%
6 9
 
2.1%
Other values (2) 13
 
3.1%

영업소재지(도로명주소)
Text

Distinct31
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-03-30T09:17:43.772558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length32
Mean length24.875
Min length19

Characters and Unicode

Total characters796
Distinct characters69
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique30 ?
Unique (%)93.8%

Sample

1st row경상남도 남해군 남해읍 화전로96번나길 26
2nd row경상남도 남해군 남해읍 화전로59번길 7 ， 2층， 2-4호
3rd row경상남도 남해군 창선면 창선로 64
4th row경상남도 남해군 남해읍 화전로 16-9
5th row경상남도 남해군 미조면 미조로14번길 8 (주)성산건설
ValueCountFrequency (%)
경상남도 32
18.1%
남해군 32
18.1%
남해읍 24
 
13.6%
창선면 4
 
2.3%
화전로 4
 
2.3%
2층 4
 
2.3%
망운로 3
 
1.7%
에코파크길 3
 
1.7%
망운로9번길 2
 
1.1%
2
 
1.1%
Other values (59) 67
37.9%
2024-03-30T09:17:45.069818image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
145
18.2%
남 89
 
11.2%
해 57
 
7.2%
상 33
 
4.1%
1 33
 
4.1%
경 32
 
4.0%
도 32
 
4.0%
군 32
 
4.0%
로 29
 
3.6%
읍 24
 
3.0%
Other values (59) 290
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 485
60.9%
Space Separator 145
 
18.2%
Decimal Number 136
 
17.1%
Dash Punctuation 13
 
1.6%
Other Punctuation 9
 
1.1%
Open Punctuation 4
 
0.5%
Close Punctuation 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
남 89
18.4%
해 57
11.8%
상 33
 
6.8%
경 32
 
6.6%
도 32
 
6.6%
군 32
 
6.6%
로 29
 
6.0%
읍 24
 
4.9%
길 17
 
3.5%
번 14
 
2.9%
Other values (43) 126
26.0%
Decimal Number
ValueCountFrequency (%)
1 33
24.3%
2 24
17.6%
3 13
 
9.6%
9 13
 
9.6%
5 13
 
9.6%
4 13
 
9.6%
6 12
 
8.8%
7 7
 
5.1%
0 5
 
3.7%
8 3
 
2.2%
Other Punctuation
ValueCountFrequency (%)
, 7
77.8%
， 2
 
22.2%
Space Separator
ValueCountFrequency (%)
145
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 485
60.9%
Common 311
39.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
남 89
18.4%
해 57
11.8%
상 33
 
6.8%
경 32
 
6.6%
도 32
 
6.6%
군 32
 
6.6%
로 29
 
6.0%
읍 24
 
4.9%
길 17
 
3.5%
번 14
 
2.9%
Other values (43) 126
26.0%
Common
ValueCountFrequency (%)
145
46.6%
1 33
 
10.6%
2 24
 
7.7%
3 13
 
4.2%
9 13
 
4.2%
5 13
 
4.2%
- 13
 
4.2%
4 13
 
4.2%
6 12
 
3.9%
7 7
 
2.3%
Other values (6) 25
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 485
60.9%
ASCII 309
38.8%
None 2
 
0.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
145
46.9%
1 33
 
10.7%
2 24
 
7.8%
3 13
 
4.2%
9 13
 
4.2%
5 13
 
4.2%
- 13
 
4.2%
4 13
 
4.2%
6 12
 
3.9%
7 7
 
2.3%
Other values (5) 23
 
7.4%
Hangul
ValueCountFrequency (%)
남 89
18.4%
해 57
11.8%
상 33
 
6.8%
경 32
 
6.6%
도 32
 
6.6%
군 32
 
6.6%
로 29
 
6.0%
읍 24
 
4.9%
길 17
 
3.5%
번 14
 
2.9%
Other values (43) 126
26.0%
None
ValueCountFrequency (%)
， 2
100.0%

전화번호
Text

Distinct30
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size388.0 B
2024-03-30T09:17:45.542352image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters384
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

Unique28 ?
Unique (%)87.5%

Sample

1st row055-864-0599
2nd row055-864-5822
3rd row055-867-8438
4th row055-862-0518
5th row055-867-7845
ValueCountFrequency (%)
055-863-0488 2
 
6.2%
055-864-8047 2
 
6.2%
055-864-0599 1
 
3.1%
055-864-0007 1
 
3.1%
055-864-1086 1
 
3.1%
055-864-7580 1
 
3.1%
055-864-7090 1
 
3.1%
055-864-1100 1
 
3.1%
055-867-5822 1
 
3.1%
055-758-9167 1
 
3.1%
Other values (20) 20
62.5%
2024-03-30T09:17:46.512664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 80
20.8%
- 64
16.7%
8 56
14.6%
0 51
13.3%
6 35
9.1%
4 25
 
6.5%
7 24
 
6.2%
2 18
 
4.7%
1 12
 
3.1%
3 11
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 320
83.3%
Dash Punctuation 64
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 80
25.0%
8 56
17.5%
0 51
15.9%
6 35
10.9%
4 25
 
7.8%
7 24
 
7.5%
2 18
 
5.6%
1 12
 
3.8%
3 11
 
3.4%
9 8
 
2.5%
Dash Punctuation
ValueCountFrequency (%)
- 64
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 384
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 80
20.8%
- 64
16.7%
8 56
14.6%
0 51
13.3%
6 35
9.1%
4 25
 
6.5%
7 24
 
6.2%
2 18
 
4.7%
1 12
 
3.1%
3 11
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 384
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 80
20.8%
- 64
16.7%
8 56
14.6%
0 51
13.3%
6 35
9.1%
4 25
 
6.5%
7 24
 
6.2%
2 18
 
4.7%
1 12
 
3.1%
3 11
 
2.9%

사업자등록번호
Text

MISSING 

Distinct31
Distinct (%)100.0%
Missing1
Missing (%)3.1%
Memory size388.0 B
2024-03-30T09:17:47.137870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters372
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

Unique31 ?
Unique (%)100.0%

Sample

1st row608-81-23242
2nd row589-87-01819
3rd row124-87-31682
4th row614-81-02596
5th row410-86-62454
ValueCountFrequency (%)
608-81-23242 1
 
3.2%
353-86-00010 1
 
3.2%
613-81-18630 1
 
3.2%
320-87-00093 1
 
3.2%
613-81-68056 1
 
3.2%
409-86-17890 1
 
3.2%
609-81-57556 1
 
3.2%
614-81-04008 1
 
3.2%
613-81-23225 1
 
3.2%
215-87-78493 1
 
3.2%
Other values (21) 21
67.7%
2024-03-30T09:17:48.078723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1 63
16.9%
- 62
16.7%
8 47
12.6%
6 42
11.3%
0 35
9.4%
2 27
7.3%
3 26
7.0%
4 19
 
5.1%
9 18
 
4.8%
5 17
 
4.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 310
83.3%
Dash Punctuation 62
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 63
20.3%
8 47
15.2%
6 42
13.5%
0 35
11.3%
2 27
8.7%
3 26
8.4%
4 19
 
6.1%
9 18
 
5.8%
5 17
 
5.5%
7 16
 
5.2%
Dash Punctuation
ValueCountFrequency (%)
- 62
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 372
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 63
16.9%
- 62
16.7%
8 47
12.6%
6 42
11.3%
0 35
9.4%
2 27
7.3%
3 26
7.0%
4 19
 
5.1%
9 18
 
4.8%
5 17
 
4.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 372
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1 63
16.9%
- 62
16.7%
8 47
12.6%
6 42
11.3%
0 35
9.4%
2 27
7.3%
3 26
7.0%
4 19
 
5.1%
9 18
 
4.8%
5 17
 
4.6%

Interactions

2024-03-30T09:17:31.805840image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-30T09:17:48.460120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업체명대표자업체등록일자업종등록번호등록일영업소재지(도로명주소)전화번호사업자등록번호
연번1.0001.0001.0000.8910.5301.0000.8910.9170.8511.000
업체명1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
대표자1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
업체등록일자0.8911.0001.0001.0000.9881.0001.0000.9740.9691.000
업종0.5301.0001.0000.9881.0001.0000.9881.0000.0001.000
등록번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
등록일0.8911.0001.0001.0000.9881.0001.0000.9740.9691.000
영업소재지(도로명주소)0.9171.0001.0000.9741.0001.0000.9741.0000.9741.000
전화번호0.8511.0001.0000.9690.0001.0000.9690.9741.0001.000
사업자등록번호1.0001.0001.0001.0001.0001.0001.0001.0001.0001.000
2024-03-30T09:17:48.820117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종
연번1.0000.246
업종0.2461.000

Missing values

2024-03-30T09:17:32.367723image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-30T09:17:33.012817image/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

연번업체명대표자업체등록일자업종등록번호등록일영업소재지(도로명주소)전화번호사업자등록번호
01(주)금강종합건설박영순1995-08-24토목건축공사업17-01692005-04-19경상남도 남해군 남해읍 화전로96번나길 26055-864-0599608-81-23242
12(주)다짐건설최수지2022-01-01토목공사업17-07782022-01-01경상남도 남해군 남해읍 화전로59번길 7 ， 2층， 2-4호055-864-5822589-87-01819
23(주)민수종합건설고정옥2012-09-10토목공사업 건축공사업17-0831 10-23682022-01-01 2012-09-10경상남도 남해군 창선면 창선로 64055-867-8438124-87-31682
34(주)성림조헌길1998-09-16토목공사업601311998-09-16경상남도 남해군 남해읍 화전로 16-9055-862-0518614-81-02596
45(주)성산건설정월봉2022-03-15건축공사업17-12112022-03-15경상남도 남해군 미조면 미조로14번길 8 (주)성산건설055-867-7845410-86-62454
56(주)영광종합건설유영진2019-07-31건축공사업02-15442019-07-31경상남도 남해군 창선면 흥선로579번길 25055-867-7228861-86-01164
67(주)와이비손종덕2001-04-16토목건축공사업1700752001-04-16경상남도 남해군 남해읍 망운로 86, 2층055-863-0488413-81-03920
78(주)청인건설배상백2022-01-01토목공사업17-07902022-01-01경상남도 남해군 창선면 동부대로 2919055-867-7052611-81-23971
89(주)초원종합건설강태성2019-05-29건축공사업 토목공사업17-0944 17-07402019-05-29 2021-03-04경상남도 남해군 고현면 화방로 21055-864-8058166-81-01119
910(주)한남기술단이석철2000-12-19토목공사업1702092000-12-19경상남도 남해군 남해읍 평현로51번길 33-5055-745-8320613-81-11578
연번업체명대표자업체등록일자업종등록번호등록일영업소재지(도로명주소)전화번호사업자등록번호
2223성진조경(주)하지웅2013-03-25조경공사업01-03272013-03-25경상남도 남해군 남해읍 화전로 154 상가101동 202호(현대아파트)055-862-7897215-87-78493
2324성훈종합건설(주)신문장2001-05-23건축공사업 토목공사업 건축공사업(등록말소)17-0488 170217 1702302005-02-18 2001-01-17 2001-05-23경상남도 남해군 남해읍 화전로122번길 37-2 , 1동 1층(솔밭빌딩)055-758-9167613-81-23225
2425신아종합건설(주)김이숙1999-04-15조경공사업 토목공사업170007 1700521999-10-14 1999-04-15경상남도 남해군 남해읍 망운로9번길 35055-863-0488614-81-04008
2526이룸건설(주)명재희2005-05-26건축공사업17-04982005-05-26경상남도 남해군 남해읍 화전로59번길 7 , 2층 2-2호055-867-5822609-81-57556
2627주식회사가람박석만2023-08-18건축공사업17-12822023-08-18경상남도 남해군 남해읍 선소로 117-19055-864-8047409-86-17890
2728주식회사동림김동윤2022-09-16건축공사업17-12542022-09-16경상남도 남해군 남해읍 선소로16번길 115055-864-1100613-81-68056
2829주식회사현대이소은2022-10-14토목공사업17-09212022-10-14경상남도 남해군 남해읍 화전로 17-1, 2층055-864-7090320-87-00093
2930주은건설(주)김정주2022-09-21건축공사업17-12552022-09-20경상남도 남해군 남해읍 망운로9번길 42055-864-7580<NA>
3031창진건설(주)허정철1999-08-26토목공사업1700931999-08-26경상남도 남해군 남해읍 화전로 65-8, 1층055-864-1086613-81-18630
3132한남종합건설(주)송한영1994-12-10토목건축공사업 조경공사업 토목공사업(자진반납)170018 17-0112 2851999-05-29 2010-07-14 1994-12-10경상남도 남해군 남해읍 망운로10번길 33055-863-2523614-81-02034