Overview

Dataset statistics

Number of variables6
Number of observations61
Missing cells1
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.0 KiB
Average record size in memory51.2 B

Variable types

Numeric1
Text5

Dataset

Description서울특별시 용산구 공장등록현황(순번, 회사명, 공장대표주소(도로명), 업종명, 생산품, 전화번호)에 대한 데이터를 제공합니다
URLhttps://www.data.go.kr/data/3077805/fileData.do

Alerts

전화번호 has 1 (1.6%) missing valuesMissing
순번 has unique valuesUnique
공장대표주소(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-12 21:36:17.760586
Analysis finished2023-12-12 21:36:18.702340
Duration0.94 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean31
Minimum1
Maximum61
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size681.0 B
2023-12-13T06:36:18.776343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4
Q116
median31
Q346
95-th percentile58
Maximum61
Range60
Interquartile range (IQR)30

Descriptive statistics

Standard deviation17.752934
Coefficient of variation (CV)0.57267529
Kurtosis-1.2
Mean31
Median Absolute Deviation (MAD)15
Skewness0
Sum1891
Variance315.16667
MonotonicityStrictly increasing
2023-12-13T06:36:18.960609image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.6%
47 1
 
1.6%
34 1
 
1.6%
35 1
 
1.6%
36 1
 
1.6%
37 1
 
1.6%
38 1
 
1.6%
39 1
 
1.6%
40 1
 
1.6%
41 1
 
1.6%
Other values (51) 51
83.6%
ValueCountFrequency (%)
1 1
1.6%
2 1
1.6%
3 1
1.6%
4 1
1.6%
5 1
1.6%
6 1
1.6%
7 1
1.6%
8 1
1.6%
9 1
1.6%
10 1
1.6%
ValueCountFrequency (%)
61 1
1.6%
60 1
1.6%
59 1
1.6%
58 1
1.6%
57 1
1.6%
56 1
1.6%
55 1
1.6%
54 1
1.6%
53 1
1.6%
52 1
1.6%

회사명
Text

Distinct60
Distinct (%)98.4%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-13T06:36:19.194287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length11
Mean length7.3442623
Min length3

Characters and Unicode

Total characters448
Distinct characters146
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique59 ?
Unique (%)96.7%

Sample

1st row 씨에스이노베이션 주식회사
2nd row(주)태광싸인아트
3rd row(주)네트웍리더
4th row(주)덕원비앤씨
5th row(주)동아전기
ValueCountFrequency (%)
주식회사 9
 
12.5%
주)영재컴퓨터 2
 
2.8%
제이씨현시스템(주 1
 
1.4%
태진산업 1
 
1.4%
고은넷 1
 
1.4%
서울의지 1
 
1.4%
성의사 1
 
1.4%
성진 1
 
1.4%
cctv 1
 
1.4%
신영인쇄 1
 
1.4%
Other values (53) 53
73.6%
2023-12-13T06:36:19.522568image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 35
 
7.8%
( 25
 
5.6%
) 25
 
5.6%
사 18
 
4.0%
스 14
 
3.1%
12
 
2.7%
이 10
 
2.2%
식 9
 
2.0%
회 9
 
2.0%
아 8
 
1.8%
Other values (136) 283
63.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 379
84.6%
Open Punctuation 25
 
5.6%
Close Punctuation 25
 
5.6%
Space Separator 12
 
2.7%
Uppercase Letter 7
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 35
 
9.2%
사 18
 
4.7%
스 14
 
3.7%
이 10
 
2.6%
식 9
 
2.4%
회 9
 
2.4%
아 8
 
2.1%
트 7
 
1.8%
기 6
 
1.6%
대 6
 
1.6%
Other values (128) 257
67.8%
Uppercase Letter
ValueCountFrequency (%)
T 2
28.6%
C 2
28.6%
V 1
14.3%
P 1
14.3%
O 1
14.3%
Open Punctuation
ValueCountFrequency (%)
( 25
100.0%
Close Punctuation
ValueCountFrequency (%)
) 25
100.0%
Space Separator
ValueCountFrequency (%)
12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 379
84.6%
Common 62
 
13.8%
Latin 7
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 35
 
9.2%
사 18
 
4.7%
스 14
 
3.7%
이 10
 
2.6%
식 9
 
2.4%
회 9
 
2.4%
아 8
 
2.1%
트 7
 
1.8%
기 6
 
1.6%
대 6
 
1.6%
Other values (128) 257
67.8%
Latin
ValueCountFrequency (%)
T 2
28.6%
C 2
28.6%
V 1
14.3%
P 1
14.3%
O 1
14.3%
Common
ValueCountFrequency (%)
( 25
40.3%
) 25
40.3%
12
19.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 379
84.6%
ASCII 69
 
15.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 35
 
9.2%
사 18
 
4.7%
스 14
 
3.7%
이 10
 
2.6%
식 9
 
2.4%
회 9
 
2.4%
아 8
 
2.1%
트 7
 
1.8%
기 6
 
1.6%
대 6
 
1.6%
Other values (128) 257
67.8%
ASCII
ValueCountFrequency (%)
( 25
36.2%
) 25
36.2%
12
17.4%
T 2
 
2.9%
C 2
 
2.9%
V 1
 
1.4%
P 1
 
1.4%
O 1
 
1.4%

공장대표주소(도로명)
Text

UNIQUE 

Distinct61
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-13T06:36:19.789908image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length47
Median length40
Mean length31.47541
Min length21

Characters and Unicode

Total characters1920
Distinct characters103
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

Unique61 ?
Unique (%)100.0%

Sample

1st row서울특별시 용산구 새창로45길 74, 지하1층 (신계동)
2nd row서울특별시 용산구 백범로43길 8, 지층 (효창동)
3rd row서울특별시 용산구 청파로20길 34, 22동 6층 6017호(한강로2가, 선인상가)
4th row서울특별시 용산구 청파로89길 53 (서계동)
5th row서울특별시 용산구 원효로80길 17, 1층 (원효로1가)
ValueCountFrequency (%)
서울특별시 61
 
16.8%
용산구 61
 
16.8%
서계동 7
 
1.9%
1층 7
 
1.9%
갈월동 5
 
1.4%
효창원로 5
 
1.4%
한남동 5
 
1.4%
지층 5
 
1.4%
신계동 5
 
1.4%
한강로2가 4
 
1.1%
Other values (158) 198
54.5%
2023-12-13T06:36:20.150664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
303
 
15.8%
로 82
 
4.3%
1 74
 
3.9%
서 69
 
3.6%
용 66
 
3.4%
산 66
 
3.4%
시 62
 
3.2%
특 61
 
3.2%
별 61
 
3.2%
구 61
 
3.2%
Other values (93) 1015
52.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1108
57.7%
Decimal Number 318
 
16.6%
Space Separator 303
 
15.8%
Close Punctuation 61
 
3.2%
Open Punctuation 61
 
3.2%
Other Punctuation 49
 
2.6%
Dash Punctuation 18
 
0.9%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 82
 
7.4%
서 69
 
6.2%
용 66
 
6.0%
산 66
 
6.0%
시 62
 
5.6%
특 61
 
5.5%
별 61
 
5.5%
구 61
 
5.5%
울 61
 
5.5%
동 44
 
4.0%
Other values (76) 475
42.9%
Decimal Number
ValueCountFrequency (%)
1 74
23.3%
2 42
13.2%
4 40
12.6%
3 33
10.4%
6 24
 
7.5%
0 23
 
7.2%
7 21
 
6.6%
9 21
 
6.6%
5 20
 
6.3%
8 20
 
6.3%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%
Space Separator
ValueCountFrequency (%)
303
100.0%
Close Punctuation
ValueCountFrequency (%)
) 61
100.0%
Open Punctuation
ValueCountFrequency (%)
( 61
100.0%
Other Punctuation
ValueCountFrequency (%)
, 49
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1108
57.7%
Common 810
42.2%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 82
 
7.4%
서 69
 
6.2%
용 66
 
6.0%
산 66
 
6.0%
시 62
 
5.6%
특 61
 
5.5%
별 61
 
5.5%
구 61
 
5.5%
울 61
 
5.5%
동 44
 
4.0%
Other values (76) 475
42.9%
Common
ValueCountFrequency (%)
303
37.4%
1 74
 
9.1%
) 61
 
7.5%
( 61
 
7.5%
, 49
 
6.0%
2 42
 
5.2%
4 40
 
4.9%
3 33
 
4.1%
6 24
 
3.0%
0 23
 
2.8%
Other values (5) 100
 
12.3%
Latin
ValueCountFrequency (%)
B 1
50.0%
A 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1108
57.7%
ASCII 812
42.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
303
37.3%
1 74
 
9.1%
) 61
 
7.5%
( 61
 
7.5%
, 49
 
6.0%
2 42
 
5.2%
4 40
 
4.9%
3 33
 
4.1%
6 24
 
3.0%
0 23
 
2.8%
Other values (7) 102
 
12.6%
Hangul
ValueCountFrequency (%)
로 82
 
7.4%
서 69
 
6.2%
용 66
 
6.0%
산 66
 
6.0%
시 62
 
5.6%
특 61
 
5.5%
별 61
 
5.5%
구 61
 
5.5%
울 61
 
5.5%
동 44
 
4.0%
Other values (76) 475
42.9%

업종명
Text

Distinct52
Distinct (%)85.2%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-13T06:36:20.402691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length24
Mean length16.147541
Min length7

Characters and Unicode

Total characters985
Distinct characters140
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

Unique45 ?
Unique (%)73.8%

Sample

1st row컴퓨터 제조업 외 1 종
2nd row간판 및 광고물 제조업
3rd row유선 통신장비 제조업
4th row문구용 종이제품 제조업
5th row육상 금속 골조 구조재 제조업 외 1 종
ValueCountFrequency (%)
제조업 55
16.7%
외 36
 
10.9%
종 32
 
9.7%
기타 20
 
6.1%
및 19
 
5.8%
1 12
 
3.6%
컴퓨터 8
 
2.4%
2 7
 
2.1%
통신장비 6
 
1.8%
그 4
 
1.2%
Other values (97) 130
39.5%
2023-12-13T06:36:20.742491image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
268
27.2%
제 64
 
6.5%
업 63
 
6.4%
조 58
 
5.9%
기 49
 
5.0%
외 37
 
3.8%
종 34
 
3.5%
타 20
 
2.0%
및 19
 
1.9%
장 15
 
1.5%
Other values (130) 358
36.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 676
68.6%
Space Separator 268
 
27.2%
Decimal Number 33
 
3.4%
Other Punctuation 8
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 64
 
9.5%
업 63
 
9.3%
조 58
 
8.6%
기 49
 
7.2%
외 37
 
5.5%
종 34
 
5.0%
타 20
 
3.0%
및 19
 
2.8%
장 15
 
2.2%
품 11
 
1.6%
Other values (118) 306
45.3%
Decimal Number
ValueCountFrequency (%)
1 12
36.4%
2 8
24.2%
3 4
 
12.1%
6 2
 
6.1%
9 2
 
6.1%
4 1
 
3.0%
5 1
 
3.0%
8 1
 
3.0%
7 1
 
3.0%
0 1
 
3.0%
Space Separator
ValueCountFrequency (%)
268
100.0%
Other Punctuation
ValueCountFrequency (%)
, 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 676
68.6%
Common 309
31.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 64
 
9.5%
업 63
 
9.3%
조 58
 
8.6%
기 49
 
7.2%
외 37
 
5.5%
종 34
 
5.0%
타 20
 
3.0%
및 19
 
2.8%
장 15
 
2.2%
품 11
 
1.6%
Other values (118) 306
45.3%
Common
ValueCountFrequency (%)
268
86.7%
1 12
 
3.9%
, 8
 
2.6%
2 8
 
2.6%
3 4
 
1.3%
6 2
 
0.6%
9 2
 
0.6%
4 1
 
0.3%
5 1
 
0.3%
8 1
 
0.3%
Other values (2) 2
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 676
68.6%
ASCII 309
31.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
268
86.7%
1 12
 
3.9%
, 8
 
2.6%
2 8
 
2.6%
3 4
 
1.3%
6 2
 
0.6%
9 2
 
0.6%
4 1
 
0.3%
5 1
 
0.3%
8 1
 
0.3%
Other values (2) 2
 
0.6%
Hangul
ValueCountFrequency (%)
제 64
 
9.5%
업 63
 
9.3%
조 58
 
8.6%
기 49
 
7.2%
외 37
 
5.5%
종 34
 
5.0%
타 20
 
3.0%
및 19
 
2.8%
장 15
 
2.2%
품 11
 
1.6%
Other values (118) 306
45.3%

생산품
Text

Distinct58
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size620.0 B
2023-12-13T06:36:20.950344image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length18
Mean length8.6229508
Min length2

Characters and Unicode

Total characters526
Distinct characters193
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

Unique56 ?
Unique (%)91.8%

Sample

1st row컴퓨터+모니터 제조
2nd row간판
3rd row통합배선반
4th row바인더+책표지
5th row드롭퍼클램프+철도관련제품
ValueCountFrequency (%)
및 4
 
4.3%
인쇄물 3
 
3.3%
의류 2
 
2.2%
제조 2
 
2.2%
컴퓨터 2
 
2.2%
주변기기 2
 
2.2%
옵셋인쇄물 1
 
1.1%
가방+근무복+작업복+유사의복 1
 
1.1%
공구 1
 
1.1%
기계및 1
 
1.1%
Other values (73) 73
79.3%
2023-12-13T06:36:21.270830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
 
6.1%
+ 28
 
5.3%
기 26
 
4.9%
터 15
 
2.9%
장 11
 
2.1%
인 10
 
1.9%
물 9
 
1.7%
컴 9
 
1.7%
퓨 9
 
1.7%
전 8
 
1.5%
Other values (183) 369
70.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 424
80.6%
Space Separator 32
 
6.1%
Math Symbol 28
 
5.3%
Uppercase Letter 24
 
4.6%
Close Punctuation 5
 
1.0%
Open Punctuation 5
 
1.0%
Decimal Number 5
 
1.0%
Other Punctuation 3
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 26
 
6.1%
터 15
 
3.5%
장 11
 
2.6%
인 10
 
2.4%
물 9
 
2.1%
컴 9
 
2.1%
퓨 9
 
2.1%
전 8
 
1.9%
스 8
 
1.9%
조 8
 
1.9%
Other values (164) 311
73.3%
Uppercase Letter
ValueCountFrequency (%)
C 8
33.3%
V 5
20.8%
T 3
 
12.5%
D 2
 
8.3%
L 1
 
4.2%
F 1
 
4.2%
M 1
 
4.2%
A 1
 
4.2%
R 1
 
4.2%
P 1
 
4.2%
Decimal Number
ValueCountFrequency (%)
2 2
40.0%
6 1
20.0%
4 1
20.0%
9 1
20.0%
Space Separator
ValueCountFrequency (%)
32
100.0%
Math Symbol
ValueCountFrequency (%)
+ 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 424
80.6%
Common 78
 
14.8%
Latin 24
 
4.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 26
 
6.1%
터 15
 
3.5%
장 11
 
2.6%
인 10
 
2.4%
물 9
 
2.1%
컴 9
 
2.1%
퓨 9
 
2.1%
전 8
 
1.9%
스 8
 
1.9%
조 8
 
1.9%
Other values (164) 311
73.3%
Latin
ValueCountFrequency (%)
C 8
33.3%
V 5
20.8%
T 3
 
12.5%
D 2
 
8.3%
L 1
 
4.2%
F 1
 
4.2%
M 1
 
4.2%
A 1
 
4.2%
R 1
 
4.2%
P 1
 
4.2%
Common
ValueCountFrequency (%)
32
41.0%
+ 28
35.9%
) 5
 
6.4%
( 5
 
6.4%
/ 3
 
3.8%
2 2
 
2.6%
6 1
 
1.3%
4 1
 
1.3%
9 1
 
1.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 424
80.6%
ASCII 102
 
19.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32
31.4%
+ 28
27.5%
C 8
 
7.8%
) 5
 
4.9%
( 5
 
4.9%
V 5
 
4.9%
T 3
 
2.9%
/ 3
 
2.9%
D 2
 
2.0%
2 2
 
2.0%
Other values (9) 9
 
8.8%
Hangul
ValueCountFrequency (%)
기 26
 
6.1%
터 15
 
3.5%
장 11
 
2.6%
인 10
 
2.4%
물 9
 
2.1%
컴 9
 
2.1%
퓨 9
 
2.1%
전 8
 
1.9%
스 8
 
1.9%
조 8
 
1.9%
Other values (164) 311
73.3%

전화번호
Text

MISSING 

Distinct60
Distinct (%)100.0%
Missing1
Missing (%)1.6%
Memory size620.0 B
2023-12-13T06:36:21.714440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length11
Mean length11.25
Min length11

Characters and Unicode

Total characters675
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

Unique60 ?
Unique (%)100.0%

Sample

1st row02-707-5095
2nd row02-713-4040
3rd row02-706-8301
4th row02-718-1416
5th row02-3273-2343
ValueCountFrequency (%)
02-707-5095 1
 
1.7%
02-713-4040 1
 
1.7%
02-713-7241 1
 
1.7%
02-795-3938 1
 
1.7%
02-754-7650 1
 
1.7%
02-3273-2707 1
 
1.7%
02-702-4084 1
 
1.7%
02-797-7686 1
 
1.7%
02-701-7181 1
 
1.7%
02-755-0054 1
 
1.7%
Other values (50) 50
83.3%
2023-12-13T06:36:22.063527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 120
17.8%
0 111
16.4%
2 102
15.1%
7 93
13.8%
1 63
9.3%
5 41
 
6.1%
8 35
 
5.2%
3 33
 
4.9%
6 28
 
4.1%
4 27
 
4.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 555
82.2%
Dash Punctuation 120
 
17.8%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 111
20.0%
2 102
18.4%
7 93
16.8%
1 63
11.4%
5 41
 
7.4%
8 35
 
6.3%
3 33
 
5.9%
6 28
 
5.0%
4 27
 
4.9%
9 22
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 120
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 675
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 120
17.8%
0 111
16.4%
2 102
15.1%
7 93
13.8%
1 63
9.3%
5 41
 
6.1%
8 35
 
5.2%
3 33
 
4.9%
6 28
 
4.1%
4 27
 
4.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 675
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 120
17.8%
0 111
16.4%
2 102
15.1%
7 93
13.8%
1 63
9.3%
5 41
 
6.1%
8 35
 
5.2%
3 33
 
4.9%
6 28
 
4.1%
4 27
 
4.0%

Interactions

2023-12-13T06:36:18.402038image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T06:36:22.158846image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번회사명공장대표주소(도로명)업종명생산품전화번호
순번1.0001.0001.0000.6230.9031.000
회사명1.0001.0001.0001.0000.9921.000
공장대표주소(도로명)1.0001.0001.0001.0001.0001.000
업종명0.6231.0001.0001.0000.9011.000
생산품0.9030.9921.0000.9011.0001.000
전화번호1.0001.0001.0001.0001.0001.000

Missing values

2023-12-13T06:36:18.545280image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T06:36:18.649528image/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

순번회사명공장대표주소(도로명)업종명생산품전화번호
01씨에스이노베이션 주식회사서울특별시 용산구 새창로45길 74, 지하1층 (신계동)컴퓨터 제조업 외 1 종컴퓨터+모니터 제조02-707-5095
12(주)태광싸인아트서울특별시 용산구 백범로43길 8, 지층 (효창동)간판 및 광고물 제조업간판02-713-4040
23(주)네트웍리더서울특별시 용산구 청파로20길 34, 22동 6층 6017호(한강로2가, 선인상가)유선 통신장비 제조업통합배선반02-706-8301
34(주)덕원비앤씨서울특별시 용산구 청파로89길 53 (서계동)문구용 종이제품 제조업바인더+책표지02-718-1416
45(주)동아전기서울특별시 용산구 원효로80길 17, 1층 (원효로1가)육상 금속 골조 구조재 제조업 외 1 종드롭퍼클램프+철도관련제품02-3273-2343
56(주)라이트컴서울특별시 용산구 원효로39길 33 (원효로3가)기타 주변기기 제조업공유기 등02-717-4747
67(주)루가시트서울특별시 용산구 한남대로27길 6 (한남동)그 외 자동차용 신품 부품 제조업 외 3 종자동차시트카바02-792-5900
78(주)명지테크서울특별시 용산구 한강대로98길 14 (갈월동)고무, 화학섬유 및 플라스틱 성형기 제조업 외 2 종성형기02-757-0996
89(주)쌍봉교역서울특별시 용산구 청파로 83, 4동 104호(한강로3가, 원효전자상가)기타 음향기기 제조업 외 1 종마이크+스피커+커넥터류+스피커 고정용 철재 브래킷02-711-2355
910(주)아이디시에스서울특별시 용산구 원효로71길 6, 301호(원효로2가)간판 및 광고물 제조업간판제조02-2282-4531
순번회사명공장대표주소(도로명)업종명생산품전화번호
5152주식회사 용산집서울특별시 용산구 청파로 213, 105호, 106호(문배동, 이안용산프리미어)컴퓨터 제조업 외 1 종데스크탑 PC+컴퓨터 서버+워크스테이션+영상감시장치02-1811-7161
5253주식회사 하늘컴서울특별시 용산구 새창로 181, 21동 1071,1072호 (한강로2가, 선인상가)기타 전기 변환장치 제조업아답터02-706-2836
5354중앙문화사서울특별시 용산구 원효로89길 18-8 (원효로1가)경 인쇄업 외 1 종의학서적02-717-5511
5455코스믹전기통신(주)서울특별시 용산구 한강대로 341 (갈월동, 대한빌딩)기타 무선 통신장비 제조업FM수신중계증폭기02-719-6765
5556프린텍씨앤씨서울특별시 용산구 새창로49길 53, 신계동 12-2 (신계동)컴퓨터 프린터 제조업재활용 레이져 토너 카트리지02-715-1157
5657한강정수산업서울특별시 용산구 우사단로10길 159 (한남동, 한강정수산업)그 외 기타 플라스틱 제품 제조업세탁용품02-790-2030
5758한진기공서울특별시 용산구 한강대로 121 (한강로2가)수동식 식품 가공기기 및 금속 주방용기 제조업건설장비02-790-7688
5859현대기계서울특별시 용산구 갈월동 70-18번지산업용 송풍기 및 배기장치 제조업송풍기 소음기 운반기계02-714-6336
5960효신상사서울특별시 용산구 효창원로66길 7-6, 삼일빌딩 101호 (효창동)그 외 기타 의복액세서리 제조업장갑02-713-0883
6061희림상사서울특별시 용산구 한강대로62다길 4 (한강로1가) 지하1층기타 직물제품 제조업 외 20 종의류02-792-1720