Overview

Dataset statistics

Number of variables11
Number of observations47
Missing cells10
Missing cells (%)1.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.2 KiB
Average record size in memory91.8 B

Variable types

Text6
Categorical3
DateTime1
Numeric1

Dataset

Description부동산개발업의 관리 및 육성에 관한 법률에 따라 등록된 대구시 영업소 소재지를 둔 부동산개발업 등록현황을 제공합니다(2021.09.15.현재)
Author대구광역시
URLhttps://www.data.go.kr/data/15088699/fileData.do

Alerts

등록상태 has constant value ""Constant
처리상태 has constant value ""Constant
법인구분 is highly imbalanced (85.1%)Imbalance
전화번호 has 1 (2.1%) missing valuesMissing
팩스번호 has 9 (19.1%) missing valuesMissing
등록번호 has unique valuesUnique
상호 has unique valuesUnique
대표자 has unique valuesUnique
영업소재지 has unique valuesUnique

Reproduction

Analysis started2023-12-12 22:08:11.777989
Analysis finished2023-12-12 22:08:12.746052
Duration0.97 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록번호
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-13T07:08:12.898436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length8
Mean length8
Min length8

Characters and Unicode

Total characters376
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

Unique47 ?
Unique (%)100.0%

Sample

1st row대구080002
2nd row대구080013
3rd row대구080014
4th row대구080028
5th row대구080029
ValueCountFrequency (%)
대구080002 1
 
2.1%
대구160015 1
 
2.1%
대구170005 1
 
2.1%
대구170007 1
 
2.1%
대구170011 1
 
2.1%
대구170012 1
 
2.1%
대구180004 1
 
2.1%
대구180007 1
 
2.1%
대구180008 1
 
2.1%
대구180010 1
 
2.1%
Other values (37) 37
78.7%
2023-12-13T07:08:13.225207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 135
35.9%
1 57
15.2%
대 47
 
12.5%
구 47
 
12.5%
2 18
 
4.8%
8 16
 
4.3%
3 12
 
3.2%
4 11
 
2.9%
5 11
 
2.9%
9 10
 
2.7%
Other values (2) 12
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 282
75.0%
Other Letter 94
 
25.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 135
47.9%
1 57
20.2%
2 18
 
6.4%
8 16
 
5.7%
3 12
 
4.3%
4 11
 
3.9%
5 11
 
3.9%
9 10
 
3.5%
7 8
 
2.8%
6 4
 
1.4%
Other Letter
ValueCountFrequency (%)
대 47
50.0%
구 47
50.0%

Most occurring scripts

ValueCountFrequency (%)
Common 282
75.0%
Hangul 94
 
25.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 135
47.9%
1 57
20.2%
2 18
 
6.4%
8 16
 
5.7%
3 12
 
4.3%
4 11
 
3.9%
5 11
 
3.9%
9 10
 
3.5%
7 8
 
2.8%
6 4
 
1.4%
Hangul
ValueCountFrequency (%)
대 47
50.0%
구 47
50.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 282
75.0%
Hangul 94
 
25.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 135
47.9%
1 57
20.2%
2 18
 
6.4%
8 16
 
5.7%
3 12
 
4.3%
4 11
 
3.9%
5 11
 
3.9%
9 10
 
3.5%
7 8
 
2.8%
6 4
 
1.4%
Hangul
ValueCountFrequency (%)
대 47
50.0%
구 47
50.0%

상호
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-13T07:08:13.479756image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length12
Mean length9.5106383
Min length5

Characters and Unicode

Total characters447
Distinct characters104
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

Unique47 ?
Unique (%)100.0%

Sample

1st row㈜동서개발
2nd row화성산업 주식회사
3rd row주식회사 화성개발
4th row주식회사 백구종합건설
5th row주식회사 원대종합건설
ValueCountFrequency (%)
주식회사 20
29.9%
㈜동서개발 1
 
1.5%
성복건설 1
 
1.5%
동진종합건설 1
 
1.5%
우방 1
 
1.5%
주)서린디앤씨 1
 
1.5%
태왕이앤씨 1
 
1.5%
서동건설 1
 
1.5%
주)동성중공업 1
 
1.5%
주)한라공영 1
 
1.5%
Other values (38) 38
56.7%
2023-12-13T07:08:13.896852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 48
 
10.7%
( 26
 
5.8%
) 26
 
5.8%
건 26
 
5.8%
설 24
 
5.4%
사 23
 
5.1%
회 21
 
4.7%
식 21
 
4.7%
20
 
4.5%
합 15
 
3.4%
Other values (94) 197
44.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 372
83.2%
Open Punctuation 26
 
5.8%
Close Punctuation 26
 
5.8%
Space Separator 20
 
4.5%
Other Punctuation 1
 
0.2%
Other Symbol 1
 
0.2%
Decimal Number 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 48
 
12.9%
건 26
 
7.0%
설 24
 
6.5%
사 23
 
6.2%
회 21
 
5.6%
식 21
 
5.6%
합 15
 
4.0%
종 15
 
4.0%
동 7
 
1.9%
개 7
 
1.9%
Other values (88) 165
44.4%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Decimal Number
ValueCountFrequency (%)
1 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 373
83.4%
Common 74
 
16.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 48
 
12.9%
건 26
 
7.0%
설 24
 
6.4%
사 23
 
6.2%
회 21
 
5.6%
식 21
 
5.6%
합 15
 
4.0%
종 15
 
4.0%
동 7
 
1.9%
개 7
 
1.9%
Other values (89) 166
44.5%
Common
ValueCountFrequency (%)
( 26
35.1%
) 26
35.1%
20
27.0%
. 1
 
1.4%
1 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 372
83.2%
ASCII 74
 
16.6%
None 1
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 48
 
12.9%
건 26
 
7.0%
설 24
 
6.5%
사 23
 
6.2%
회 21
 
5.6%
식 21
 
5.6%
합 15
 
4.0%
종 15
 
4.0%
동 7
 
1.9%
개 7
 
1.9%
Other values (88) 165
44.4%
ASCII
ValueCountFrequency (%)
( 26
35.1%
) 26
35.1%
20
27.0%
. 1
 
1.4%
1 1
 
1.4%
None
ValueCountFrequency (%)
㈜ 1
100.0%

대표자
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-13T07:08:14.175196image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.6170213
Min length3

Characters and Unicode

Total characters170
Distinct characters82
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

Unique47 ?
Unique (%)100.0%

Sample

1st row이승현
2nd row이종원,이홍중
3rd row도훈찬
4th row정한규
5th row신종영
ValueCountFrequency (%)
이승현 1
 
2.1%
신용식 1
 
2.1%
이기동 1
 
2.1%
송동근 1
 
2.1%
서주영 1
 
2.1%
노기원 1
 
2.1%
서철수 1
 
2.1%
신정환 1
 
2.1%
최동욱 1
 
2.1%
정성일 1
 
2.1%
Other values (37) 37
78.7%
2023-12-13T07:08:14.542309image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 11
 
6.5%
정 8
 
4.7%
, 6
 
3.5%
종 6
 
3.5%
우 5
 
2.9%
원 5
 
2.9%
동 5
 
2.9%
수 5
 
2.9%
최 4
 
2.4%
조 4
 
2.4%
Other values (72) 111
65.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 164
96.5%
Other Punctuation 6
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 11
 
6.7%
정 8
 
4.9%
종 6
 
3.7%
우 5
 
3.0%
원 5
 
3.0%
동 5
 
3.0%
수 5
 
3.0%
최 4
 
2.4%
조 4
 
2.4%
김 4
 
2.4%
Other values (71) 107
65.2%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 164
96.5%
Common 6
 
3.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 11
 
6.7%
정 8
 
4.9%
종 6
 
3.7%
우 5
 
3.0%
원 5
 
3.0%
동 5
 
3.0%
수 5
 
3.0%
최 4
 
2.4%
조 4
 
2.4%
김 4
 
2.4%
Other values (71) 107
65.2%
Common
ValueCountFrequency (%)
, 6
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 164
96.5%
ASCII 6
 
3.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 11
 
6.7%
정 8
 
4.9%
종 6
 
3.7%
우 5
 
3.0%
원 5
 
3.0%
동 5
 
3.0%
수 5
 
3.0%
최 4
 
2.4%
조 4
 
2.4%
김 4
 
2.4%
Other values (71) 107
65.2%
ASCII
ValueCountFrequency (%)
, 6
100.0%

법인구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)4.3%
Missing0
Missing (%)0.0%
Memory size508.0 B
일반법인
46 
특수법인
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
일반법인 46
97.9%
특수법인 1
 
2.1%

Length

2023-12-13T07:08:14.681219image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:08:14.782505image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반법인 46
97.9%
특수법인 1
 
2.1%

전화번호
Text

MISSING 

Distinct45
Distinct (%)97.8%
Missing1
Missing (%)2.1%
Memory size508.0 B
2023-12-13T07:08:14.993568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters552
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

Unique44 ?
Unique (%)95.7%

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
 
4.3%
053-767-8300 1
 
2.2%
053-522-3113 1
 
2.2%
053-710-1277 1
 
2.2%
053-607-9000 1
 
2.2%
053-742-7585 1
 
2.2%
053-430-7091 1
 
2.2%
053-352-0345 1
 
2.2%
053-753-4747 1
 
2.2%
053-753-1875 1
 
2.2%
Other values (35) 35
76.1%
2023-12-13T07:08:15.320513image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 92
16.7%
0 89
16.1%
5 88
15.9%
3 77
13.9%
7 50
9.1%
4 31
 
5.6%
6 30
 
5.4%
1 29
 
5.3%
8 28
 
5.1%
2 27
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 460
83.3%
Dash Punctuation 92
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 89
19.3%
5 88
19.1%
3 77
16.7%
7 50
10.9%
4 31
 
6.7%
6 30
 
6.5%
1 29
 
6.3%
8 28
 
6.1%
2 27
 
5.9%
9 11
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 92
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 552
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 92
16.7%
0 89
16.1%
5 88
15.9%
3 77
13.9%
7 50
9.1%
4 31
 
5.6%
6 30
 
5.4%
1 29
 
5.3%
8 28
 
5.1%
2 27
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 552
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 92
16.7%
0 89
16.1%
5 88
15.9%
3 77
13.9%
7 50
9.1%
4 31
 
5.6%
6 30
 
5.4%
1 29
 
5.3%
8 28
 
5.1%
2 27
 
4.9%

팩스번호
Text

MISSING 

Distinct38
Distinct (%)100.0%
Missing9
Missing (%)19.1%
Memory size508.0 B
2023-12-13T07:08:15.527704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.052632
Min length12

Characters and Unicode

Total characters458
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

Unique38 ?
Unique (%)100.0%

Sample

1st row053-253-7675
2nd row053-768-9318
3rd row053-422-2991
4th row053-781-6773
5th row053-382-5495
ValueCountFrequency (%)
053-984-1501 1
 
2.6%
053-253-7675 1
 
2.6%
053-552-5478 1
 
2.6%
053-761-3471 1
 
2.6%
053-766-1863 1
 
2.6%
053-358-7020 1
 
2.6%
053-742-7586 1
 
2.6%
053-352-0347 1
 
2.6%
053-752-6865 1
 
2.6%
053-781-0079 1
 
2.6%
Other values (28) 28
73.7%
2023-12-13T07:08:15.866702image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 79
17.2%
- 76
16.6%
3 60
13.1%
0 55
12.0%
7 39
8.5%
6 36
7.9%
1 28
 
6.1%
4 25
 
5.5%
8 22
 
4.8%
2 22
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 382
83.4%
Dash Punctuation 76
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 79
20.7%
3 60
15.7%
0 55
14.4%
7 39
10.2%
6 36
9.4%
1 28
 
7.3%
4 25
 
6.5%
8 22
 
5.8%
2 22
 
5.8%
9 16
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 458
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 79
17.2%
- 76
16.6%
3 60
13.1%
0 55
12.0%
7 39
8.5%
6 36
7.9%
1 28
 
6.1%
4 25
 
5.5%
8 22
 
4.8%
2 22
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 458
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 79
17.2%
- 76
16.6%
3 60
13.1%
0 55
12.0%
7 39
8.5%
6 36
7.9%
1 28
 
6.1%
4 25
 
5.5%
8 22
 
4.8%
2 22
 
4.8%

등록일자
Date

Distinct43
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size508.0 B
Minimum2008-02-14 00:00:00
Maximum2021-08-31 00:00:00
2023-12-13T07:08:16.027327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:08:16.175372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=43)

등록상태
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
등록완료
47 

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 47
100.0%

Length

2023-12-13T07:08:16.295420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:08:16.377956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
등록완료 47
100.0%

처리상태
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size508.0 B
정상
47 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
정상 47
100.0%

Length

2023-12-13T07:08:16.463089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:08:16.542837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
정상 47
100.0%

자본금(천원)
Real number (ℝ)

Distinct34
Distinct (%)72.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19543635
Minimum300000
Maximum6.80625 × 108
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size555.0 B
2023-12-13T07:08:16.637833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum300000
5-th percentile300000
Q1500000
median900000
Q32325000
95-th percentile44902180
Maximum6.80625 × 108
Range6.80325 × 108
Interquartile range (IQR)1825000

Descriptive statistics

Standard deviation99312050
Coefficient of variation (CV)5.0815546
Kurtosis45.428869
Mean19543635
Median Absolute Deviation (MAD)410000
Skewness6.6937629
Sum9.1855085 × 108
Variance9.8628832 × 1015
MonotonicityNot monotonic
2023-12-13T07:08:16.778032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=34)
ValueCountFrequency (%)
500000 8
 
17.0%
300000 4
 
8.5%
510000 3
 
6.4%
800000 2
 
4.3%
5000000 1
 
2.1%
1250000 1
 
2.1%
31963260 1
 
2.1%
2000000 1
 
2.1%
4500000 1
 
2.1%
1280000 1
 
2.1%
Other values (24) 24
51.1%
ValueCountFrequency (%)
300000 4
8.5%
320000 1
 
2.1%
350000 1
 
2.1%
500000 8
17.0%
510000 3
 
6.4%
600000 1
 
2.1%
685000 1
 
2.1%
770000 1
 
2.1%
800000 2
 
4.3%
810000 1
 
2.1%
ValueCountFrequency (%)
680625000 1
2.1%
62254000 1
2.1%
50447432 1
2.1%
31963260 1
2.1%
20200000 1
2.1%
20000000 1
2.1%
6816160 1
2.1%
5000000 1
2.1%
4500000 1
2.1%
2400000 1
2.1%

영업소재지
Text

UNIQUE 

Distinct47
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size508.0 B
2023-12-13T07:08:17.095414image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length31
Mean length26.319149
Min length16

Characters and Unicode

Total characters1237
Distinct characters129
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

Unique47 ?
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 47
 
19.6%
수성구 17
 
7.1%
동구 7
 
2.9%
달서구 7
 
2.9%
중구 6
 
2.5%
2층 5
 
2.1%
동대구로 5
 
2.1%
북구 4
 
1.7%
달구벌대로 3
 
1.2%
남구 3
 
1.2%
Other values (126) 136
56.7%
2023-12-13T07:08:17.573189image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
193
 
15.6%
구 106
 
8.6%
대 69
 
5.6%
시 51
 
4.1%
1 50
 
4.0%
광 48
 
3.9%
역 48
 
3.9%
로 48
 
3.9%
동 44
 
3.6%
, 40
 
3.2%
Other values (119) 540
43.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 731
59.1%
Decimal Number 216
 
17.5%
Space Separator 193
 
15.6%
Other Punctuation 40
 
3.2%
Open Punctuation 26
 
2.1%
Close Punctuation 26
 
2.1%
Dash Punctuation 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 106
14.5%
대 69
 
9.4%
시 51
 
7.0%
광 48
 
6.6%
역 48
 
6.6%
로 48
 
6.6%
동 44
 
6.0%
성 23
 
3.1%
층 21
 
2.9%
수 19
 
2.6%
Other values (104) 254
34.7%
Decimal Number
ValueCountFrequency (%)
1 50
23.1%
2 30
13.9%
3 26
12.0%
0 25
11.6%
5 23
10.6%
4 22
10.2%
7 12
 
5.6%
6 11
 
5.1%
9 9
 
4.2%
8 8
 
3.7%
Space Separator
ValueCountFrequency (%)
193
100.0%
Other Punctuation
ValueCountFrequency (%)
, 40
100.0%
Open Punctuation
ValueCountFrequency (%)
( 26
100.0%
Close Punctuation
ValueCountFrequency (%)
) 26
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 731
59.1%
Common 506
40.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 106
14.5%
대 69
 
9.4%
시 51
 
7.0%
광 48
 
6.6%
역 48
 
6.6%
로 48
 
6.6%
동 44
 
6.0%
성 23
 
3.1%
층 21
 
2.9%
수 19
 
2.6%
Other values (104) 254
34.7%
Common
ValueCountFrequency (%)
193
38.1%
1 50
 
9.9%
, 40
 
7.9%
2 30
 
5.9%
3 26
 
5.1%
( 26
 
5.1%
) 26
 
5.1%
0 25
 
4.9%
5 23
 
4.5%
4 22
 
4.3%
Other values (5) 45
 
8.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 731
59.1%
ASCII 506
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
193
38.1%
1 50
 
9.9%
, 40
 
7.9%
2 30
 
5.9%
3 26
 
5.1%
( 26
 
5.1%
) 26
 
5.1%
0 25
 
4.9%
5 23
 
4.5%
4 22
 
4.3%
Other values (5) 45
 
8.9%
Hangul
ValueCountFrequency (%)
구 106
14.5%
대 69
 
9.4%
시 51
 
7.0%
광 48
 
6.6%
역 48
 
6.6%
로 48
 
6.6%
동 44
 
6.0%
성 23
 
3.1%
층 21
 
2.9%
수 19
 
2.6%
Other values (104) 254
34.7%

Interactions

2023-12-13T07:08:12.241204image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:08:17.680184image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
등록번호상호대표자법인구분전화번호팩스번호등록일자자본금(천원)영업소재지
등록번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
상호1.0001.0001.0001.0001.0001.0001.0001.0001.000
대표자1.0001.0001.0001.0001.0001.0001.0001.0001.000
법인구분1.0001.0001.0001.0001.000NaN0.0000.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.0001.000
팩스번호1.0001.0001.000NaN1.0001.0001.0001.0001.000
등록일자1.0001.0001.0000.0001.0001.0001.0001.0001.000
자본금(천원)1.0001.0001.0000.0001.0001.0001.0001.0001.000
영업소재지1.0001.0001.0001.0001.0001.0001.0001.0001.000
2023-12-13T07:08:18.057747image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
자본금(천원)법인구분
자본금(천원)1.0000.000
법인구분0.0001.000

Missing values

2023-12-13T07:08:12.374431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:08:12.558413image/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.
2023-12-13T07:08:12.699764image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

등록번호상호대표자법인구분전화번호팩스번호등록일자등록상태처리상태자본금(천원)영업소재지
0대구080002㈜동서개발이승현일반법인053-253-4404053-253-76752008-02-14등록완료정상5000000대구광역시 중구 달구벌대로 1929
1대구080013화성산업 주식회사이종원,이홍중일반법인053-760-3732053-768-93182008-05-06등록완료정상62254000대구광역시 수성구 동대구로 111(황금동)
2대구080014주식회사 화성개발도훈찬일반법인053-760-3732053-422-29912008-05-06등록완료정상6816160대구광역시 북구 원대로 130(침산동, 파크드림 갤러리)
3대구080028주식회사 백구종합건설정한규일반법인053-781-5773053-781-67732008-08-13등록완료정상510000대구광역시 수성구 용학로 150(지산동)
4대구080029주식회사 원대종합건설신종영일반법인053-382-5494053-382-54952008-08-22등록완료정상510000대구광역시 동구 팔공로 115
5대구080030동양종합건설 주식회사최종해,변영식일반법인053-562-4400053-552-92222008-08-22등록완료정상1860000대구광역시 달서구 달구벌대로 1611(감삼동)
6대구090002명신종합건설 주식회사김오동일반법인053-637-6811053-637-68142009-06-05등록완료정상2360000대구광역시 달서구 월배로 180(상인동)
7대구120008(주)미진주택건설배장원일반법인053-741-4888053-751-54112012-07-27등록완료정상900000대구광역시 수성구 동대구로 273(범어동)
8대구120009(주)대맥건설박진순,이수형일반법인053-984-0011053-984-15012012-12-18등록완료정상1310000대구광역시 동구 장등로 24, 5층 5호 (동래정씨 대구회관)
9대구130004(주)대구은행임성훈일반법인053-740-23510505-108-23512013-02-18등록완료정상680625000대구광역시 수성구 달구벌대로 2310
등록번호상호대표자법인구분전화번호팩스번호등록일자등록상태처리상태자본금(천원)영업소재지
37대구190008(주)유엔아이우남석일반법인053-755-4567053-755-45762019-06-24등록완료정상770000대구광역시 수성구 상록로2길 17, 6층(범어빌딩)
38대구190011(주)화인종합건설구혜정일반법인053-965-2650053-965-26512019-10-24등록완료정상500000대구광역시 동구 율하서로 34, 401호
39대구190012도개종합건설(주)김현수일반법인053-766-8510053-766-85142019-12-11등록완료정상950000대구광역시 달성군 가창면 가창로 1053, 2층
40대구200003(주)문창개발건설조문식일반법인053-254-56740504-033-56742020-05-27등록완료정상800000대구광역시 중구 태평로 270
41대구200004대한디에이치개발 주식회사정원택일반법인053-781-0050053-781-00792020-07-20등록완료정상320000대구광역시 수성구 지범로 9, 3층(두산동)
42대구200005주식회사 주원홀딩스이자항일반법인053-753-8001<NA>2020-09-02등록완료정상300000대구광역시 중구 달구벌대로447길 44-39, 2층
43대구210001롯데쇼핑타운대구 주식회사황범석일반법인053-752-2018<NA>2021-01-18등록완료정상20000000대구광역시 동구 동대구로 495
44대구210002주식회사 삼우종합건설윤종호일반법인053-761-3376<NA>2021-02-15등록완료정상500000대구광역시 수성구 알파시티1로 105, 3층 304호
45대구210003주식회사 부성유통김광덕일반법인053-522-3113<NA>2021-03-15등록완료정상500000대구광역시 달서구 달구벌대로301길 187-13(용산동)
46대구210004주식회사 다온디앤에스김정원일반법인053-794-7774053-794-77762021-08-31등록완료정상350000대구광역시 수성구 동대구로 390, 17층 3호(범어동, 범어킹덤)