Overview

Dataset statistics

Number of variables10
Number of observations52
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.2 KiB
Average record size in memory83.5 B

Variable types

Text6
Categorical3
DateTime1

Dataset

Description대구광역시_부동산개발업_20200501
Author대구광역시
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15052627&dataSetDetailId=150526271abb579d85f31&provdMethod=FILE

Alerts

등록상태 has constant value ""Constant
전문인력 is highly overall correlated with 법인구분High correlation
법인구분 is highly overall correlated with 전문인력High correlation
법인구분 is highly imbalanced (86.3%)Imbalance
전문인력 is highly imbalanced (70.6%)Imbalance
부동산개발업등록번호 has unique valuesUnique
상호 has unique valuesUnique
대표자 has unique valuesUnique
영업소재지 has unique valuesUnique

Reproduction

Analysis started2024-04-21 03:01:47.638792
Analysis finished2024-04-21 03:01:49.747571
Duration2.11 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

부동산개발업등록번호
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size544.0 B
2024-04-21T12:01:50.425155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters416
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)100.0%

Sample

1st row대구080002
2nd row대구080013
3rd row대구080014
4th row대구080028
5th row대구080029
ValueCountFrequency (%)
대구080002 1
 
1.9%
대구080013 1
 
1.9%
대구180007 1
 
1.9%
대구160015 1
 
1.9%
대구170002 1
 
1.9%
대구170004 1
 
1.9%
대구170005 1
 
1.9%
대구170007 1
 
1.9%
대구170011 1
 
1.9%
대구170012 1
 
1.9%
Other values (42) 42
80.8%
2024-04-21T12:01:51.676813image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 147
35.3%
1 68
16.3%
대 52
 
12.5%
구 52
 
12.5%
8 17
 
4.1%
2 16
 
3.8%
3 14
 
3.4%
9 13
 
3.1%
5 12
 
2.9%
7 10
 
2.4%
Other values (2) 15
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 312
75.0%
Other Letter 104
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 147
47.1%
1 68
21.8%
8 17
 
5.4%
2 16
 
5.1%
3 14
 
4.5%
9 13
 
4.2%
5 12
 
3.8%
7 10
 
3.2%
4 9
 
2.9%
6 6
 
1.9%
Other Letter
ValueCountFrequency (%)
대 52
50.0%
구 52
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 312
75.0%
Hangul 104
 
25.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 147
47.1%
1 68
21.8%
8 17
 
5.4%
2 16
 
5.1%
3 14
 
4.5%
9 13
 
4.2%
5 12
 
3.8%
7 10
 
3.2%
4 9
 
2.9%
6 6
 
1.9%
Hangul
ValueCountFrequency (%)
대 52
50.0%
구 52
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 312
75.0%
Hangul 104
 
25.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 147
47.1%
1 68
21.8%
8 17
 
5.4%
2 16
 
5.1%
3 14
 
4.5%
9 13
 
4.2%
5 12
 
3.8%
7 10
 
3.2%
4 9
 
2.9%
6 6
 
1.9%
Hangul
ValueCountFrequency (%)
대 52
50.0%
구 52
50.0%

상호
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size544.0 B
2024-04-21T12:01:52.487386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length12
Mean length8.8846154
Min length5

Characters and Unicode

Total characters462
Distinct characters103
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

Unique52 ?
Unique (%)100.0%

Sample

1st row㈜동서개발
2nd row화성산업 주식회사
3rd row주식회사 화성개발
4th row주식회사 백구종합건설
5th row주식회사 원대종합건설
ValueCountFrequency (%)
주식회사 16
 
23.5%
㈜동서개발 1
 
1.5%
주)한라공영 1
 
1.5%
주)동성중공업 1
 
1.5%
성복건설 1
 
1.5%
흥일건설 1
 
1.5%
도원투자개발 1
 
1.5%
동진종합건설 1
 
1.5%
우방 1
 
1.5%
주)서린디앤씨 1
 
1.5%
Other values (43) 43
63.2%
2024-04-21T12:01:53.673359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 53
 
11.5%
) 35
 
7.6%
( 35
 
7.6%
건 30
 
6.5%
설 27
 
5.8%
사 19
 
4.1%
회 17
 
3.7%
식 17
 
3.7%
16
 
3.5%
종 15
 
3.2%
Other values (93) 198
42.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 373
80.7%
Close Punctuation 35
 
7.6%
Open Punctuation 35
 
7.6%
Space Separator 16
 
3.5%
Other Punctuation 1
 
0.2%
Decimal Number 1
 
0.2%
Other Symbol 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 53
 
14.2%
건 30
 
8.0%
설 27
 
7.2%
사 19
 
5.1%
회 17
 
4.6%
식 17
 
4.6%
종 15
 
4.0%
합 15
 
4.0%
동 7
 
1.9%
성 6
 
1.6%
Other values (87) 167
44.8%
Close Punctuation
ValueCountFrequency (%)
) 35
100.0%
Open Punctuation
ValueCountFrequency (%)
( 35
100.0%
Space Separator
ValueCountFrequency (%)
16
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 374
81.0%
Common 88
 
19.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 53
 
14.2%
건 30
 
8.0%
설 27
 
7.2%
사 19
 
5.1%
회 17
 
4.5%
식 17
 
4.5%
종 15
 
4.0%
합 15
 
4.0%
동 7
 
1.9%
성 6
 
1.6%
Other values (88) 168
44.9%
Common
ValueCountFrequency (%)
) 35
39.8%
( 35
39.8%
16
18.2%
. 1
 
1.1%
1 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 373
80.7%
ASCII 88
 
19.0%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 53
 
14.2%
건 30
 
8.0%
설 27
 
7.2%
사 19
 
5.1%
회 17
 
4.6%
식 17
 
4.6%
종 15
 
4.0%
합 15
 
4.0%
동 7
 
1.9%
성 6
 
1.6%
Other values (87) 167
44.8%
ASCII
ValueCountFrequency (%)
) 35
39.8%
( 35
39.8%
16
18.2%
. 1
 
1.1%
1 1
 
1.1%
None
ValueCountFrequency (%)
㈜ 1
100.0%

대표자
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size544.0 B
2024-04-21T12:01:54.577512image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.6923077
Min length2

Characters and Unicode

Total characters192
Distinct characters83
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique52 ?
Unique (%)100.0%

Sample

1st row이승현
2nd row이종원,이홍중
3rd row도훈찬
4th row정한규
5th row신종영
ValueCountFrequency (%)
이승현 1
 
1.9%
이종원,이홍중 1
 
1.9%
박종대,신정환 1
 
1.9%
신용식 1
 
1.9%
김일상,김원영 1
 
1.9%
이동경 1
 
1.9%
이기동 1
 
1.9%
송동근 1
 
1.9%
서주영 1
 
1.9%
노기원 1
 
1.9%
Other values (42) 42
80.8%
2024-04-21T12:01:55.864863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 10
 
5.2%
, 8
 
4.2%
영 8
 
4.2%
종 7
 
3.6%
수 6
 
3.1%
김 6
 
3.1%
정 5
 
2.6%
박 5
 
2.6%
동 5
 
2.6%
우 5
 
2.6%
Other values (73) 127
66.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 184
95.8%
Other Punctuation 8
 
4.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 10
 
5.4%
영 8
 
4.3%
종 7
 
3.8%
수 6
 
3.3%
김 6
 
3.3%
정 5
 
2.7%
박 5
 
2.7%
동 5
 
2.7%
우 5
 
2.7%
조 4
 
2.2%
Other values (72) 123
66.8%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 184
95.8%
Common 8
 
4.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 10
 
5.4%
영 8
 
4.3%
종 7
 
3.8%
수 6
 
3.3%
김 6
 
3.3%
정 5
 
2.7%
박 5
 
2.7%
동 5
 
2.7%
우 5
 
2.7%
조 4
 
2.2%
Other values (72) 123
66.8%
Common
ValueCountFrequency (%)
, 8
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 184
95.8%
ASCII 8
 
4.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 10
 
5.4%
영 8
 
4.3%
종 7
 
3.8%
수 6
 
3.3%
김 6
 
3.3%
정 5
 
2.7%
박 5
 
2.7%
동 5
 
2.7%
우 5
 
2.7%
조 4
 
2.2%
Other values (72) 123
66.8%
ASCII
ValueCountFrequency (%)
, 8
100.0%

법인구분
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)3.8%
Missing0
Missing (%)0.0%
Memory size544.0 B
일반법인
51 
특수법인
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)1.9%

Sample

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

Common Values

ValueCountFrequency (%)
일반법인 51
98.1%
특수법인 1
 
1.9%

Length

2024-04-21T12:01:56.263696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:01:56.558270image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반법인 51
98.1%
특수법인 1
 
1.9%

자본금(천원)
Text

Distinct34
Distinct (%)65.4%
Missing0
Missing (%)0.0%
Memory size544.0 B
2024-04-21T12:01:57.190347image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10.5
Mean length8.1346154
Min length7

Characters and Unicode

Total characters423
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 (%)53.8%

Sample

1st row5,000,000
2nd row62,254,000
3rd row6,816,160
4th row510,000
5th row510,000
ValueCountFrequency (%)
500,000 8
 
15.4%
300,000 6
 
11.5%
510,000 4
 
7.7%
2,400,000 2
 
3.8%
1,200,000 2
 
3.8%
1,500,000 2
 
3.8%
2,350,000 1
 
1.9%
81,433,085 1
 
1.9%
20,200,000 1
 
1.9%
310,000 1
 
1.9%
Other values (24) 24
46.2%
2024-04-21T12:01:58.315862image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 226
53.4%
, 78
 
18.4%
5 25
 
5.9%
1 22
 
5.2%
2 20
 
4.7%
3 15
 
3.5%
6 11
 
2.6%
4 9
 
2.1%
8 9
 
2.1%
7 5
 
1.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 345
81.6%
Other Punctuation 78
 
18.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 226
65.5%
5 25
 
7.2%
1 22
 
6.4%
2 20
 
5.8%
3 15
 
4.3%
6 11
 
3.2%
4 9
 
2.6%
8 9
 
2.6%
7 5
 
1.4%
9 3
 
0.9%
Other Punctuation
ValueCountFrequency (%)
, 78
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 423
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 226
53.4%
, 78
 
18.4%
5 25
 
5.9%
1 22
 
5.2%
2 20
 
4.7%
3 15
 
3.5%
6 11
 
2.6%
4 9
 
2.1%
8 9
 
2.1%
7 5
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 423
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 226
53.4%
, 78
 
18.4%
5 25
 
5.9%
1 22
 
5.2%
2 20
 
4.7%
3 15
 
3.5%
6 11
 
2.6%
4 9
 
2.1%
8 9
 
2.1%
7 5
 
1.2%

전문인력
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct4
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size544.0 B
2
47 
3
 
3
5
 
1
1
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique2 ?
Unique (%)3.8%

Sample

1st row2
2nd row2
3rd row2
4th row2
5th row2

Common Values

ValueCountFrequency (%)
2 47
90.4%
3 3
 
5.8%
5 1
 
1.9%
1 1
 
1.9%

Length

2024-04-21T12:01:58.715620image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:01:59.026524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 47
90.4%
3 3
 
5.8%
5 1
 
1.9%
1 1
 
1.9%

영업소재지
Text

UNIQUE 

Distinct52
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size544.0 B
2024-04-21T12:02:00.104808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length29
Mean length24.865385
Min length15

Characters and Unicode

Total characters1293
Distinct characters137
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

Unique52 ?
Unique (%)100.0%

Sample

1st row대구광역시 중구 달구벌대로 1929
2nd row대구광역시 수성구 동대구로 111(황금동)
3rd row대구광역시 북구 원대로 130(침산동, 파크드림 갤러리)
4th row대구광역시 수성구 용학로 150(지산동)
5th row대구광역시 동구 팔공로 115
ValueCountFrequency (%)
대구광역시 52
 
20.0%
수성구 22
 
8.5%
동구 8
 
3.1%
달서구 6
 
2.3%
달구벌대로 5
 
1.9%
3층 5
 
1.9%
북구 5
 
1.9%
2층 4
 
1.5%
동대구로 3
 
1.2%
중구 3
 
1.2%
Other values (131) 147
56.5%
2024-04-21T12:02:01.703566image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
208
 
16.1%
구 114
 
8.8%
대 69
 
5.3%
시 56
 
4.3%
광 54
 
4.2%
역 53
 
4.1%
로 53
 
4.1%
1 50
 
3.9%
동 43
 
3.3%
, 39
 
3.0%
Other values (127) 554
42.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 779
60.2%
Decimal Number 216
 
16.7%
Space Separator 208
 
16.1%
Other Punctuation 39
 
3.0%
Open Punctuation 24
 
1.9%
Close Punctuation 24
 
1.9%
Dash Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 114
14.6%
대 69
 
8.9%
시 56
 
7.2%
광 54
 
6.9%
역 53
 
6.8%
로 53
 
6.8%
동 43
 
5.5%
성 30
 
3.9%
수 25
 
3.2%
층 21
 
2.7%
Other values (112) 261
33.5%
Decimal Number
ValueCountFrequency (%)
1 50
23.1%
2 30
13.9%
3 28
13.0%
5 26
12.0%
4 23
10.6%
0 23
10.6%
6 15
 
6.9%
7 9
 
4.2%
8 7
 
3.2%
9 5
 
2.3%
Space Separator
ValueCountFrequency (%)
208
100.0%
Other Punctuation
ValueCountFrequency (%)
, 39
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 779
60.2%
Common 514
39.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 114
14.6%
대 69
 
8.9%
시 56
 
7.2%
광 54
 
6.9%
역 53
 
6.8%
로 53
 
6.8%
동 43
 
5.5%
성 30
 
3.9%
수 25
 
3.2%
층 21
 
2.7%
Other values (112) 261
33.5%
Common
ValueCountFrequency (%)
208
40.5%
1 50
 
9.7%
, 39
 
7.6%
2 30
 
5.8%
3 28
 
5.4%
5 26
 
5.1%
( 24
 
4.7%
) 24
 
4.7%
4 23
 
4.5%
0 23
 
4.5%
Other values (5) 39
 
7.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 779
60.2%
ASCII 514
39.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
208
40.5%
1 50
 
9.7%
, 39
 
7.6%
2 30
 
5.8%
3 28
 
5.4%
5 26
 
5.1%
( 24
 
4.7%
) 24
 
4.7%
4 23
 
4.5%
0 23
 
4.5%
Other values (5) 39
 
7.6%
Hangul
ValueCountFrequency (%)
구 114
14.6%
대 69
 
8.9%
시 56
 
7.2%
광 54
 
6.9%
역 53
 
6.8%
로 53
 
6.8%
동 43
 
5.5%
성 30
 
3.9%
수 25
 
3.2%
층 21
 
2.7%
Other values (112) 261
33.5%

전화번호
Text

Distinct51
Distinct (%)98.1%
Missing0
Missing (%)0.0%
Memory size544.0 B
2024-04-21T12:02:02.547997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12
Min length11

Characters and Unicode

Total characters624
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

Unique50 ?
Unique (%)96.2%

Sample

1st row053-253-4404
2nd row053-760-3732
3rd row053-760-3732
4th row053-781-5773
5th row053-382-5494
ValueCountFrequency (%)
053-760-3732 2
 
3.8%
053-253-4404 1
 
1.9%
053-767-8300 1
 
1.9%
053-742-2690 1
 
1.9%
053-766-1860 1
 
1.9%
053-636-8763 1
 
1.9%
053-607-9000 1
 
1.9%
053-742-7585 1
 
1.9%
053-430-7172 1
 
1.9%
053-566-7100 1
 
1.9%
Other values (41) 41
78.8%
2024-04-21T12:02:03.828633image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 104
16.7%
0 97
15.5%
5 95
15.2%
3 83
13.3%
7 63
10.1%
6 39
 
6.2%
4 38
 
6.1%
8 33
 
5.3%
2 30
 
4.8%
1 28
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 520
83.3%
Dash Punctuation 104
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 97
18.7%
5 95
18.3%
3 83
16.0%
7 63
12.1%
6 39
7.5%
4 38
 
7.3%
8 33
 
6.3%
2 30
 
5.8%
1 28
 
5.4%
9 14
 
2.7%
Dash Punctuation
ValueCountFrequency (%)
- 104
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 624
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 104
16.7%
0 97
15.5%
5 95
15.2%
3 83
13.3%
7 63
10.1%
6 39
 
6.2%
4 38
 
6.1%
8 33
 
5.3%
2 30
 
4.8%
1 28
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 624
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 104
16.7%
0 97
15.5%
5 95
15.2%
3 83
13.3%
7 63
10.1%
6 39
 
6.2%
4 38
 
6.1%
8 33
 
5.3%
2 30
 
4.8%
1 28
 
4.5%

등록일자
Date

Distinct46
Distinct (%)88.5%
Missing0
Missing (%)0.0%
Memory size544.0 B
Minimum2008-02-14 00:00:00
Maximum2020-02-27 00:00:00
2024-04-21T12:02:04.238932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-04-21T12:02:04.681438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=46)

등록상태
Categorical

CONSTANT 

Distinct1
Distinct (%)1.9%
Missing0
Missing (%)0.0%
Memory size544.0 B
등록완료
52 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
등록완료 52
100.0%

Length

2024-04-21T12:02:05.098975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-04-21T12:02:05.388796image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
등록완료 52
100.0%

Correlations

2024-04-21T12:02:05.571669image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부동산개발업등록번호상호대표자법인구분자본금(천원)전문인력영업소재지전화번호등록일자
부동산개발업등록번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
상호1.0001.0001.0001.0001.0001.0001.0001.0001.000
대표자1.0001.0001.0001.0001.0001.0001.0001.0001.000
법인구분1.0001.0001.0001.0001.0001.0001.0001.0000.000
자본금(천원)1.0001.0001.0001.0001.0001.0001.0000.9460.000
전문인력1.0001.0001.0001.0001.0001.0001.0001.0000.000
영업소재지1.0001.0001.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0000.9461.0001.0001.0001.000
등록일자1.0001.0001.0000.0000.0000.0001.0001.0001.000
2024-04-21T12:02:05.862377image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
전문인력법인구분
전문인력1.0000.980
법인구분0.9801.000
2024-04-21T12:02:06.091376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법인구분전문인력
법인구분1.0000.980
전문인력0.9801.000

Missing values

2024-04-21T12:01:48.849651image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-04-21T12:01:49.573587image/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

부동산개발업등록번호상호대표자법인구분자본금(천원)전문인력영업소재지전화번호등록일자등록상태
0대구080002㈜동서개발이승현일반법인5,000,0002대구광역시 중구 달구벌대로 1929053-253-44042008-02-14등록완료
1대구080013화성산업 주식회사이종원,이홍중일반법인62,254,0002대구광역시 수성구 동대구로 111(황금동)053-760-37322008-05-06등록완료
2대구080014주식회사 화성개발도훈찬일반법인6,816,1602대구광역시 북구 원대로 130(침산동, 파크드림 갤러리)053-760-37322008-05-06등록완료
3대구080028주식회사 백구종합건설정한규일반법인510,0002대구광역시 수성구 용학로 150(지산동)053-781-57732008-08-13등록완료
4대구080029주식회사 원대종합건설신종영일반법인510,0002대구광역시 동구 팔공로 115053-382-54942008-08-22등록완료
5대구080030동양종합건설 주식회사최종해,변영식일반법인1,860,0002대구광역시 달서구 달구벌대로 1611(감삼동)053-562-44002008-08-22등록완료
6대구090002명신종합건설 주식회사김오동일반법인2,360,0003대구광역시 달서구 월배로 180(상인동)053-637-68112009-06-05등록완료
7대구120008(주)미진주택건설배장원일반법인900,0002대구광역시 수성구 동대구로 273(범어동)053-741-48882012-07-27등록완료
8대구120009(주)대맥건설박진순,이수형일반법인1,310,0002대구광역시 동구 장등로 24, 5층 5호 (동래정씨 대구회관)053-984-00112012-12-18등록완료
9대구130001지엘건설(주)안준환일반법인1,500,0002대구광역시 수성구 달구벌대로 2425, 5층053-857-48232013-01-08등록완료
부동산개발업등록번호상호대표자법인구분자본금(천원)전문인력영업소재지전화번호등록일자등록상태
42대구190002경원파워(주)조영호일반법인500,0002대구광역시 수성구 화랑로 164, 4층053-759-74702019-02-07등록완료
43대구190003솔라시티(주)오상식일반법인310,0002대구광역시 수성구 천을로 35, 103동 202호053-794-77742019-04-24등록완료
44대구190004(주)산단재생1호서대구지식산업센터위탁관리부동산투자회사한국토지주택공사특수법인20,200,0005대구광역시 중구 공평로 88(동인동1가, 대구광역시청)053-710-12772019-05-07등록완료
45대구190005(주)가우디건설권장호일반법인500,0002대구광역시 수성구 충의로 22, 3층053-763-83952019-05-07등록완료
46대구190006현대중공업지주(주)권오갑일반법인81,433,0852대구광역시 달성군 유가읍 테크노순환로3길 5002-746-47152019-05-14등록완료
47대구190008(주)유엔아이우남석일반법인770,0002대구광역시 수성구 상록로2길 17, 6층(범어빌딩)053-755-45672019-06-24등록완료
48대구190011(주)화인종합건설구혜정일반법인500,0002대구광역시 동구 율하서로 34, 401호053-965-26502019-10-24등록완료
49대구190012도개종합건설(주)김현수일반법인950,0001대구광역시 달성군 가창면 가창로 1053, 2층053-766-85102019-12-11등록완료
50대구200001(주)우재장락구일반법인300,0002대구광역시 동구 혁신대로 468, 7층070-8767-28482020-02-04등록완료
51대구200002(주)삼우종합건설윤종호일반법인500,0002대구광역시 수성구 알파시티1로 105, 304호053-761-33762020-02-27등록완료