Overview

Dataset statistics

Number of variables7
Number of observations93
Missing cells2
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.3 KiB
Average record size in memory58.4 B

Variable types

Text5
Numeric1
DateTime1

Dataset

Description서울특별시 금천구 실내건축공사업 등록 현황입니다. 업체명,대표자,우편번호,도로명주소,전화번호,등록일자,등록번호 정보를 포함하고 있습니다.
Author서울특별시 금천구
URLhttps://www.data.go.kr/data/15100715/fileData.do

Alerts

전화번호 has 2 (2.2%) missing valuesMissing
업체명 has unique valuesUnique
도로명주소 has unique valuesUnique
등록일자 has unique valuesUnique
등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 12:34:24.841894
Analysis finished2023-12-12 12:34:26.044495
Duration1.2 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업체명
Text

UNIQUE 

Distinct93
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-12-12T21:34:26.240327image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length35
Median length21
Mean length8.6774194
Min length4

Characters and Unicode

Total characters807
Distinct characters164
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)100.0%

Sample

1st row(주)건우씨앤에프
2nd row(주)경안건설산업
3rd row(주)공간디자인랩
4th row(주)내외디자인
5th row(주)다온디자인
ValueCountFrequency (%)
주)건우씨앤에프 1
 
1.1%
주)지우산업개발 1
 
1.1%
미주산업 1
 
1.1%
명진알에스(주 1
 
1.1%
롯데지알에스(주 1
 
1.1%
롯데알미늄(주 1
 
1.1%
더테크(주 1
 
1.1%
더디자인통주식회사 1
 
1.1%
넥스큐브코퍼레이션(주 1
 
1.1%
가목건축(주 1
 
1.1%
Other values (83) 83
89.2%
2023-12-12T21:34:26.706177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 91
 
11.3%
( 78
 
9.7%
) 78
 
9.7%
디 35
 
4.3%
인 34
 
4.2%
이 30
 
3.7%
자 25
 
3.1%
스 23
 
2.9%
아 16
 
2.0%
식 14
 
1.7%
Other values (154) 383
47.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 615
76.2%
Open Punctuation 78
 
9.7%
Close Punctuation 78
 
9.7%
Lowercase Letter 16
 
2.0%
Uppercase Letter 14
 
1.7%
Other Punctuation 6
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 91
 
14.8%
디 35
 
5.7%
인 34
 
5.5%
이 30
 
4.9%
자 25
 
4.1%
스 23
 
3.7%
아 16
 
2.6%
식 14
 
2.3%
회 14
 
2.3%
사 14
 
2.3%
Other values (132) 319
51.9%
Lowercase Letter
ValueCountFrequency (%)
t 4
25.0%
o 3
18.8%
n 2
12.5%
d 2
12.5%
r 1
 
6.2%
u 1
 
6.2%
c 1
 
6.2%
i 1
 
6.2%
s 1
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
L 3
21.4%
C 3
21.4%
D 2
14.3%
H 1
 
7.1%
I 1
 
7.1%
E 1
 
7.1%
O 1
 
7.1%
U 1
 
7.1%
K 1
 
7.1%
Other Punctuation
ValueCountFrequency (%)
. 4
66.7%
， 2
33.3%
Open Punctuation
ValueCountFrequency (%)
( 78
100.0%
Close Punctuation
ValueCountFrequency (%)
) 78
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 615
76.2%
Common 162
 
20.1%
Latin 30
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 91
 
14.8%
디 35
 
5.7%
인 34
 
5.5%
이 30
 
4.9%
자 25
 
4.1%
스 23
 
3.7%
아 16
 
2.6%
식 14
 
2.3%
회 14
 
2.3%
사 14
 
2.3%
Other values (132) 319
51.9%
Latin
ValueCountFrequency (%)
t 4
13.3%
L 3
 
10.0%
C 3
 
10.0%
o 3
 
10.0%
n 2
 
6.7%
D 2
 
6.7%
d 2
 
6.7%
r 1
 
3.3%
H 1
 
3.3%
u 1
 
3.3%
Other values (8) 8
26.7%
Common
ValueCountFrequency (%)
( 78
48.1%
) 78
48.1%
. 4
 
2.5%
， 2
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 615
76.2%
ASCII 190
 
23.5%
None 2
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 91
 
14.8%
디 35
 
5.7%
인 34
 
5.5%
이 30
 
4.9%
자 25
 
4.1%
스 23
 
3.7%
아 16
 
2.6%
식 14
 
2.3%
회 14
 
2.3%
사 14
 
2.3%
Other values (132) 319
51.9%
ASCII
ValueCountFrequency (%)
( 78
41.1%
) 78
41.1%
. 4
 
2.1%
t 4
 
2.1%
L 3
 
1.6%
C 3
 
1.6%
o 3
 
1.6%
n 2
 
1.1%
D 2
 
1.1%
d 2
 
1.1%
Other values (11) 11
 
5.8%
None
ValueCountFrequency (%)
， 2
100.0%

대표자
Text

Distinct92
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-12-12T21:34:26.987816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length7
Median length3
Mean length3.0430108
Min length3

Characters and Unicode

Total characters283
Distinct characters103
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

Unique91 ?
Unique (%)97.8%

Sample

1st row정필하
2nd row이명영
3rd row김한솔
4th row안광영
5th row박영하
ValueCountFrequency (%)
정상훈 2
 
2.2%
김영종 1
 
1.1%
오교일 1
 
1.1%
김경희 1
 
1.1%
정래성 1
 
1.1%
차우철 1
 
1.1%
조현철 1
 
1.1%
박현상 1
 
1.1%
최소진 1
 
1.1%
고승재 1
 
1.1%
Other values (82) 82
88.2%
2023-12-12T21:34:27.378373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 21
 
7.4%
이 12
 
4.2%
현 10
 
3.5%
재 10
 
3.5%
정 9
 
3.2%
경 9
 
3.2%
진 8
 
2.8%
영 8
 
2.8%
박 8
 
2.8%
석 8
 
2.8%
Other values (93) 180
63.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 282
99.6%
Other Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 21
 
7.4%
이 12
 
4.3%
현 10
 
3.5%
재 10
 
3.5%
정 9
 
3.2%
경 9
 
3.2%
진 8
 
2.8%
영 8
 
2.8%
박 8
 
2.8%
석 8
 
2.8%
Other values (92) 179
63.5%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 282
99.6%
Common 1
 
0.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 21
 
7.4%
이 12
 
4.3%
현 10
 
3.5%
재 10
 
3.5%
정 9
 
3.2%
경 9
 
3.2%
진 8
 
2.8%
영 8
 
2.8%
박 8
 
2.8%
석 8
 
2.8%
Other values (92) 179
63.5%
Common
ValueCountFrequency (%)
, 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 282
99.6%
ASCII 1
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 21
 
7.4%
이 12
 
4.3%
현 10
 
3.5%
재 10
 
3.5%
정 9
 
3.2%
경 9
 
3.2%
진 8
 
2.8%
영 8
 
2.8%
박 8
 
2.8%
석 8
 
2.8%
Other values (92) 179
63.5%
ASCII
ValueCountFrequency (%)
, 1
100.0%

우편번호
Real number (ℝ)

Distinct36
Distinct (%)38.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8551.4409
Minimum8500
Maximum8655
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size969.0 B
2023-12-12T21:34:27.522693image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum8500
5-th percentile8502
Q18505
median8512
Q38595
95-th percentile8639
Maximum8655
Range155
Interquartile range (IQR)90

Descriptive statistics

Standard deviation54.03068
Coefficient of variation (CV)0.006318313
Kurtosis-1.3193862
Mean8551.4409
Median Absolute Deviation (MAD)10
Skewness0.57129876
Sum795284
Variance2919.3144
MonotonicityNot monotonic
2023-12-12T21:34:27.673423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
8503 7
 
7.5%
8512 7
 
7.5%
8511 6
 
6.5%
8504 6
 
6.5%
8639 6
 
6.5%
8507 6
 
6.5%
8594 5
 
5.4%
8506 4
 
4.3%
8502 4
 
4.3%
8595 4
 
4.3%
Other values (26) 38
40.9%
ValueCountFrequency (%)
8500 2
 
2.2%
8501 2
 
2.2%
8502 4
4.3%
8503 7
7.5%
8504 6
6.5%
8505 3
3.2%
8506 4
4.3%
8507 6
6.5%
8510 2
 
2.2%
8511 6
6.5%
ValueCountFrequency (%)
8655 1
 
1.1%
8654 2
 
2.2%
8653 1
 
1.1%
8639 6
6.5%
8638 2
 
2.2%
8634 1
 
1.1%
8622 1
 
1.1%
8616 1
 
1.1%
8614 1
 
1.1%
8606 2
 
2.2%

도로명주소
Text

UNIQUE 

Distinct93
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-12-12T21:34:27.938672image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length54
Median length47
Mean length37.473118
Min length23

Characters and Unicode

Total characters3485
Distinct characters130
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique93 ?
Unique (%)100.0%

Sample

1st row서울특별시 금천구 시흥대로102길 37 ,201호(독산동,리치힐스) (독산동)
2nd row서울특별시 금천구 시흥대로 251, 산호시티빌 1601호 (시흥동)
3rd row서울특별시 금천구 가산디지털1로 212 2층 205-1호 (가산동)
4th row서울특별시 금천구 시흥대로 97 20동 235호 (시흥동)
5th row서울특별시 금천구 가산로7길 63 702호 (가산동)
ValueCountFrequency (%)
금천구 93
 
15.0%
서울특별시 92
 
14.9%
가산동 58
 
9.4%
가산디지털1로 28
 
4.5%
시흥동 14
 
2.3%
가산디지털2로 13
 
2.1%
시흥대로 12
 
1.9%
벚꽃로 10
 
1.6%
독산동 9
 
1.5%
디지털로9길 7
 
1.1%
Other values (222) 282
45.6%
2023-12-12T21:34:28.361411image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
525
 
15.1%
1 193
 
5.5%
산 138
 
4.0%
시 130
 
3.7%
가 129
 
3.7%
동 110
 
3.2%
2 103
 
3.0%
서 99
 
2.8%
( 98
 
2.8%
) 98
 
2.8%
Other values (120) 1862
53.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2016
57.8%
Decimal Number 681
 
19.5%
Space Separator 525
 
15.1%
Open Punctuation 98
 
2.8%
Close Punctuation 98
 
2.8%
Other Punctuation 45
 
1.3%
Dash Punctuation 16
 
0.5%
Uppercase Letter 6
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 138
 
6.8%
시 130
 
6.4%
가 129
 
6.4%
동 110
 
5.5%
서 99
 
4.9%
금 97
 
4.8%
천 96
 
4.8%
울 94
 
4.7%
구 93
 
4.6%
별 92
 
4.6%
Other values (100) 938
46.5%
Decimal Number
ValueCountFrequency (%)
1 193
28.3%
2 103
15.1%
0 93
13.7%
3 53
 
7.8%
4 47
 
6.9%
6 45
 
6.6%
5 40
 
5.9%
8 39
 
5.7%
7 34
 
5.0%
9 34
 
5.0%
Other Punctuation
ValueCountFrequency (%)
, 38
84.4%
， 6
 
13.3%
. 1
 
2.2%
Uppercase Letter
ValueCountFrequency (%)
B 4
66.7%
A 1
 
16.7%
C 1
 
16.7%
Space Separator
ValueCountFrequency (%)
525
100.0%
Open Punctuation
ValueCountFrequency (%)
( 98
100.0%
Close Punctuation
ValueCountFrequency (%)
) 98
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 16
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2016
57.8%
Common 1463
42.0%
Latin 6
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 138
 
6.8%
시 130
 
6.4%
가 129
 
6.4%
동 110
 
5.5%
서 99
 
4.9%
금 97
 
4.8%
천 96
 
4.8%
울 94
 
4.7%
구 93
 
4.6%
별 92
 
4.6%
Other values (100) 938
46.5%
Common
ValueCountFrequency (%)
525
35.9%
1 193
 
13.2%
2 103
 
7.0%
( 98
 
6.7%
) 98
 
6.7%
0 93
 
6.4%
3 53
 
3.6%
4 47
 
3.2%
6 45
 
3.1%
5 40
 
2.7%
Other values (7) 168
 
11.5%
Latin
ValueCountFrequency (%)
B 4
66.7%
A 1
 
16.7%
C 1
 
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2016
57.8%
ASCII 1463
42.0%
None 6
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
525
35.9%
1 193
 
13.2%
2 103
 
7.0%
( 98
 
6.7%
) 98
 
6.7%
0 93
 
6.4%
3 53
 
3.6%
4 47
 
3.2%
6 45
 
3.1%
5 40
 
2.7%
Other values (9) 168
 
11.5%
Hangul
ValueCountFrequency (%)
산 138
 
6.8%
시 130
 
6.4%
가 129
 
6.4%
동 110
 
5.5%
서 99
 
4.9%
금 97
 
4.8%
천 96
 
4.8%
울 94
 
4.7%
구 93
 
4.6%
별 92
 
4.6%
Other values (100) 938
46.5%
None
ValueCountFrequency (%)
， 6
100.0%

전화번호
Text

MISSING 

Distinct90
Distinct (%)98.9%
Missing2
Missing (%)2.2%
Memory size876.0 B
2023-12-12T21:34:28.691234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.516484
Min length11

Characters and Unicode

Total characters1048
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

Unique89 ?
Unique (%)97.8%

Sample

1st row02-864-5343
2nd row02-808-0477
3rd row02-839-3304
4th row02-891-6188
5th row02-3474-9996
ValueCountFrequency (%)
02-577-9595 2
 
2.2%
02-866-3960 1
 
1.1%
02-709-1114 1
 
1.1%
02-801-8000 1
 
1.1%
02-782-4652 1
 
1.1%
02-2658-0817 1
 
1.1%
02-555-1623 1
 
1.1%
02-807-0310 1
 
1.1%
032-888-7802 1
 
1.1%
02-805-8850 1
 
1.1%
Other values (80) 80
87.9%
2023-12-12T21:34:29.241262image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 182
17.4%
0 170
16.2%
2 152
14.5%
8 93
8.9%
6 74
7.1%
7 72
 
6.9%
5 66
 
6.3%
9 64
 
6.1%
1 64
 
6.1%
3 64
 
6.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 866
82.6%
Dash Punctuation 182
 
17.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 170
19.6%
2 152
17.6%
8 93
10.7%
6 74
8.5%
7 72
8.3%
5 66
 
7.6%
9 64
 
7.4%
1 64
 
7.4%
3 64
 
7.4%
4 47
 
5.4%
Dash Punctuation
ValueCountFrequency (%)
- 182
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1048
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 182
17.4%
0 170
16.2%
2 152
14.5%
8 93
8.9%
6 74
7.1%
7 72
 
6.9%
5 66
 
6.3%
9 64
 
6.1%
1 64
 
6.1%
3 64
 
6.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1048
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 182
17.4%
0 170
16.2%
2 152
14.5%
8 93
8.9%
6 74
7.1%
7 72
 
6.9%
5 66
 
6.3%
9 64
 
6.1%
1 64
 
6.1%
3 64
 
6.1%

등록일자
Date

UNIQUE 

Distinct93
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size876.0 B
Minimum1991-05-31 00:00:00
Maximum2022-04-08 00:00:00
2023-12-12T21:34:29.419360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:34:29.586178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

등록번호
Text

UNIQUE 

Distinct93
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size876.0 B
2023-12-12T21:34:29.843793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length11
Mean length11.032258
Min length8

Characters and Unicode

Total characters1026
Distinct characters52
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

Unique93 ?
Unique (%)100.0%

Sample

1st row금천­02­01­3
2nd row금천­06­01­1
3rd row금천­20­01­10
4th row금천­19­01­05
5th row인천연수2010­01­02
ValueCountFrequency (%)
금천­02­01­3 1
 
1.0%
금천­21­01­06 1
 
1.0%
용산2016­01­01 1
 
1.0%
금천­10­01­06 1
 
1.0%
금천­20­01­02 1
 
1.0%
금천­21­01­08 1
 
1.0%
금천­20­01­08 1
 
1.0%
금천­22­나­02 1
 
1.0%
인천미추홀구2018­1­3 1
 
1.0%
금천­18­01­06 1
 
1.0%
Other values (88) 88
89.8%
2023-12-12T21:34:30.352643image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
­ 255
24.9%
0 202
19.7%
1 176
17.2%
2 73
 
7.1%
천 59
 
5.8%
금 53
 
5.2%
3 23
 
2.2%
9 21
 
2.0%
7 17
 
1.7%
8 15
 
1.5%
Other values (42) 132
12.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 559
54.5%
Format 255
24.9%
Other Letter 207
 
20.2%
Space Separator 5
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 59
28.5%
금 53
25.6%
남 10
 
4.8%
서 8
 
3.9%
구 7
 
3.4%
로 6
 
2.9%
초 4
 
1.9%
강 4
 
1.9%
인 4
 
1.9%
동 4
 
1.9%
Other values (30) 48
23.2%
Decimal Number
ValueCountFrequency (%)
0 202
36.1%
1 176
31.5%
2 73
 
13.1%
3 23
 
4.1%
9 21
 
3.8%
7 17
 
3.0%
8 15
 
2.7%
4 13
 
2.3%
6 12
 
2.1%
5 7
 
1.3%
Format
ValueCountFrequency (%)
­ 255
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 819
79.8%
Hangul 207
 
20.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 59
28.5%
금 53
25.6%
남 10
 
4.8%
서 8
 
3.9%
구 7
 
3.4%
로 6
 
2.9%
초 4
 
1.9%
강 4
 
1.9%
인 4
 
1.9%
동 4
 
1.9%
Other values (30) 48
23.2%
Common
ValueCountFrequency (%)
­ 255
31.1%
0 202
24.7%
1 176
21.5%
2 73
 
8.9%
3 23
 
2.8%
9 21
 
2.6%
7 17
 
2.1%
8 15
 
1.8%
4 13
 
1.6%
6 12
 
1.5%
Other values (2) 12
 
1.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 564
55.0%
None 255
24.9%
Hangul 207
 
20.2%

Most frequent character per block

None
ValueCountFrequency (%)
­ 255
100.0%
ASCII
ValueCountFrequency (%)
0 202
35.8%
1 176
31.2%
2 73
 
12.9%
3 23
 
4.1%
9 21
 
3.7%
7 17
 
3.0%
8 15
 
2.7%
4 13
 
2.3%
6 12
 
2.1%
5 7
 
1.2%
Hangul
ValueCountFrequency (%)
천 59
28.5%
금 53
25.6%
남 10
 
4.8%
서 8
 
3.9%
구 7
 
3.4%
로 6
 
2.9%
초 4
 
1.9%
강 4
 
1.9%
인 4
 
1.9%
동 4
 
1.9%
Other values (30) 48
23.2%

Interactions

2023-12-12T21:34:25.657961image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:34:30.491956image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업체명대표자우편번호도로명주소전화번호등록일자등록번호
업체명1.0001.0001.0001.0001.0001.0001.000
대표자1.0001.0001.0001.0001.0001.0001.000
우편번호1.0001.0001.0001.0001.0001.0001.000
도로명주소1.0001.0001.0001.0001.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.000
등록일자1.0001.0001.0001.0001.0001.0001.000
등록번호1.0001.0001.0001.0001.0001.0001.000

Missing values

2023-12-12T21:34:25.815254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:34:25.994623image/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

업체명대표자우편번호도로명주소전화번호등록일자등록번호
0(주)건우씨앤에프정필하8616서울특별시 금천구 시흥대로102길 37 ,201호(독산동,리치힐스) (독산동)02-864-53432002-06-18금천­02­01­3
1(주)경안건설산업이명영8614서울특별시 금천구 시흥대로 251, 산호시티빌 1601호 (시흥동)02-808-04772006-05-25금천­06­01­1
2(주)공간디자인랩김한솔8502서울특별시 금천구 가산디지털1로 212 2층 205-1호 (가산동)02-839-33042020-09-29금천­20­01­10
3(주)내외디자인안광영8639서울특별시 금천구 시흥대로 97 20동 235호 (시흥동)02-891-61882019-11-18금천­19­01­05
4(주)다온디자인박영하8519서울특별시 금천구 가산로7길 63 702호 (가산동)02-3474-99962010-12-09인천연수2010­01­02
5(주)덕림연광흠8589서울특별시 금천구 가산디지털1로 83 파트너스타워1401-3 (가산동)02-4469-33232002-08-19인천 서구 2002­1­02
6(주)도경아이앤씨홍석태8639서울특별시 금천구 시흥대로 97 시흥유통상가 28동 311호 (시흥동)02-6670-91972010-08-02광진 10­01­03
7(주)디오티그룹김재형8503서울특별시 금천구 가산디지털1로 181, 505호(가산동, 가산더블유센터)02-714-20242020-12-21금천­20­01­13
8(주)디자인가원이경재8653서울특별시 금천구 시흥대로 70 304호 (시흥동)02-859-00602019-08-13금천­19­01­02
9(주)디자인도우이도현8512서울특별시 금천구 디지털로9길 68， 1002호 (가산동, 대륭포스트타워5차)02-2624-41002003-04-08동작03­01­02
업체명대표자우편번호도로명주소전화번호등록일자등록번호
83주식회사인쿱비앤씨조성욱8595서울특별시 금천구 범안로 1130 1306호 (가산동)02-1811-65232021-06-07금천­21­01­09
84주식회사제이니디자인김재현8513서울특별시 금천구 벚꽃로 234 11층 1101-3호 (가산동)<NA>2021-07-06금천­21­01­10
85주식회사커피베이백진성8511서울특별시 금천구 벚꽃로 254 201호 201-1호(가산동,월드메르디앙벤처센타1차) (가산동)070-4854-38042021-03-29금천­21­01­05
86주식회사케이원김승일8592서울특별시 금천구 가산디지털2로 14 ,1405호 (가산동)02-853-52502017-07-18금천­17­01­06
87주식회사탐스디자인전재호8503서울특별시 금천구 가산디지털1로 181, 1012호(가산동, 가산더블유센터)02-6281-60312018-10-18금천­18­01­10
88케이씨티건설(주)강호태8596서울특별시 금천구 벚꽃로 73 ,207호(금천현대아파트상가) (독산동, 금천현대아파트)02-803-31152021-03-08금천­21­01­03
89케이에이치건설주식회사(KHConstructionCo.，Ltd.)강정식8503서울특별시 금천구 가산디지털1로 165 1401호 (가산동)02-6326-55742022-01-01금천­22­나­01
90한서ID김기숙8622서울특별시 금천구 독산로35길 12 1층 101호 (시흥동)02-803-84362021-08-30금천­21­01­11
91화인스케치이익규8524서울특별시 금천구 가산로3길 19 103호 (독산동)02-899-94412018-01-10광명18­1­1
92휴다인테크(주)최용석8638서울특별시 금천구 시흥대로 155 216호 (시흥동)02-2659-14782009-06-11남양주09­01­28