Overview

Dataset statistics

Number of variables7
Number of observations24
Missing cells6
Missing cells (%)3.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.5 KiB
Average record size in memory63.3 B

Variable types

Numeric2
Text5

Dataset

Description중구 건축업체 관련 제조업 업종별 현황입니다.This is the status of each manufacturing industry related to construction companies in Jung-gu.
Author대전광역시 중구
URLhttps://www.data.go.kr/data/15126670/fileData.do

Alerts

전화번호 has 2 (8.3%) missing valuesMissing
팩스번호 has 4 (16.7%) missing valuesMissing
순번 has unique valuesUnique
회사명 has unique valuesUnique
공장대표주소(도로명) has unique valuesUnique

Reproduction

Analysis started2024-03-15 00:20:29.596299
Analysis finished2024-03-15 00:20:31.548863
Duration1.95 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.5
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size344.0 B
2024-03-15T09:20:31.707696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.15
Q16.75
median12.5
Q318.25
95-th percentile22.85
Maximum24
Range23
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation7.0710678
Coefficient of variation (CV)0.56568542
Kurtosis-1.2
Mean12.5
Median Absolute Deviation (MAD)6
Skewness0
Sum300
Variance50
MonotonicityStrictly increasing
2024-03-15T09:20:32.129625image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 1
 
4.2%
14 1
 
4.2%
24 1
 
4.2%
23 1
 
4.2%
22 1
 
4.2%
21 1
 
4.2%
20 1
 
4.2%
19 1
 
4.2%
18 1
 
4.2%
17 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
1 1
4.2%
2 1
4.2%
3 1
4.2%
4 1
4.2%
5 1
4.2%
6 1
4.2%
7 1
4.2%
8 1
4.2%
9 1
4.2%
10 1
4.2%
ValueCountFrequency (%)
24 1
4.2%
23 1
4.2%
22 1
4.2%
21 1
4.2%
20 1
4.2%
19 1
4.2%
18 1
4.2%
17 1
4.2%
16 1
4.2%
15 1
4.2%

회사명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size320.0 B
2024-03-15T09:20:32.855233image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length12.5
Mean length7.7083333
Min length2

Characters and Unicode

Total characters185
Distinct characters93
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row(주) 더헤르첸
2nd row(주)무궁화용사촌에프앤씨(F&C) 문화지점
3rd row(주)부성이엔씨
4th row(주)성광창호디자인
5th row(주)에스지이엔지 건축사사무소
ValueCountFrequency (%)
주식회사 4
 
11.8%
주 1
 
2.9%
앤디 1
 
2.9%
한화큐비클 1
 
2.9%
한일사 1
 
2.9%
엔에이치 1
 
2.9%
비긴스포츠 1
 
2.9%
메스코리아 1
 
2.9%
건미 1
 
2.9%
재경실업 1
 
2.9%
Other values (21) 21
61.8%
2024-03-15T09:20:33.940830image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 11
 
5.9%
10
 
5.4%
( 8
 
4.3%
사 8
 
4.3%
) 8
 
4.3%
스 8
 
4.3%
이 6
 
3.2%
에 6
 
3.2%
엔 4
 
2.2%
회 4
 
2.2%
Other values (83) 112
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 155
83.8%
Space Separator 10
 
5.4%
Open Punctuation 8
 
4.3%
Close Punctuation 8
 
4.3%
Other Punctuation 2
 
1.1%
Uppercase Letter 2
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 11
 
7.1%
사 8
 
5.2%
스 8
 
5.2%
이 6
 
3.9%
에 6
 
3.9%
엔 4
 
2.6%
회 4
 
2.6%
식 4
 
2.6%
화 4
 
2.6%
한 4
 
2.6%
Other values (76) 96
61.9%
Other Punctuation
ValueCountFrequency (%)
, 1
50.0%
& 1
50.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
F 1
50.0%
Space Separator
ValueCountFrequency (%)
10
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 155
83.8%
Common 28
 
15.1%
Latin 2
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 11
 
7.1%
사 8
 
5.2%
스 8
 
5.2%
이 6
 
3.9%
에 6
 
3.9%
엔 4
 
2.6%
회 4
 
2.6%
식 4
 
2.6%
화 4
 
2.6%
한 4
 
2.6%
Other values (76) 96
61.9%
Common
ValueCountFrequency (%)
10
35.7%
( 8
28.6%
) 8
28.6%
, 1
 
3.6%
& 1
 
3.6%
Latin
ValueCountFrequency (%)
C 1
50.0%
F 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 155
83.8%
ASCII 30
 
16.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 11
 
7.1%
사 8
 
5.2%
스 8
 
5.2%
이 6
 
3.9%
에 6
 
3.9%
엔 4
 
2.6%
회 4
 
2.6%
식 4
 
2.6%
화 4
 
2.6%
한 4
 
2.6%
Other values (76) 96
61.9%
ASCII
ValueCountFrequency (%)
10
33.3%
( 8
26.7%
) 8
26.7%
, 1
 
3.3%
C 1
 
3.3%
& 1
 
3.3%
F 1
 
3.3%

공장대표주소(도로명)
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size320.0 B
2024-03-15T09:20:34.826824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length31.5
Mean length27.791667
Min length19

Characters and Unicode

Total characters667
Distinct characters70
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

Unique24 ?
Unique (%)100.0%

Sample

1st row대전광역시 중구 천근로46번길 34, 1층 (문화동)
2nd row대전광역시 중구 천근로46번길 27, 1층 (문화동, 재경주택)
3rd row대전광역시 중구 성산로19번길 26 (안영동)
4th row대전광역시 중구 안영로 35, 1,2층 (안영동)
5th row대전광역시 중구 동서대로 1433, 3층 (중촌동)
ValueCountFrequency (%)
대전광역시 24
 
17.4%
중구 24
 
17.4%
1층 4
 
2.9%
산성동 4
 
2.9%
3층 4
 
2.9%
안영동 3
 
2.2%
2층 3
 
2.2%
보문로 3
 
2.2%
대둔산로 3
 
2.2%
문화동 3
 
2.2%
Other values (55) 63
45.7%
2024-03-15T09:20:36.158794image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
114
 
17.1%
대 36
 
5.4%
1 29
 
4.3%
중 27
 
4.0%
동 27
 
4.0%
역 24
 
3.6%
로 24
 
3.6%
) 24
 
3.6%
( 24
 
3.6%
시 24
 
3.6%
Other values (60) 314
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 368
55.2%
Space Separator 114
 
17.1%
Decimal Number 112
 
16.8%
Close Punctuation 24
 
3.6%
Open Punctuation 24
 
3.6%
Other Punctuation 18
 
2.7%
Dash Punctuation 7
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 36
 
9.8%
중 27
 
7.3%
동 27
 
7.3%
역 24
 
6.5%
로 24
 
6.5%
시 24
 
6.5%
전 24
 
6.5%
구 24
 
6.5%
광 24
 
6.5%
층 14
 
3.8%
Other values (45) 120
32.6%
Decimal Number
ValueCountFrequency (%)
1 29
25.9%
2 18
16.1%
3 18
16.1%
9 12
10.7%
4 11
 
9.8%
6 7
 
6.2%
0 5
 
4.5%
8 4
 
3.6%
5 4
 
3.6%
7 4
 
3.6%
Space Separator
ValueCountFrequency (%)
114
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Other Punctuation
ValueCountFrequency (%)
, 18
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 368
55.2%
Common 299
44.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 36
 
9.8%
중 27
 
7.3%
동 27
 
7.3%
역 24
 
6.5%
로 24
 
6.5%
시 24
 
6.5%
전 24
 
6.5%
구 24
 
6.5%
광 24
 
6.5%
층 14
 
3.8%
Other values (45) 120
32.6%
Common
ValueCountFrequency (%)
114
38.1%
1 29
 
9.7%
) 24
 
8.0%
( 24
 
8.0%
, 18
 
6.0%
2 18
 
6.0%
3 18
 
6.0%
9 12
 
4.0%
4 11
 
3.7%
6 7
 
2.3%
Other values (5) 24
 
8.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 368
55.2%
ASCII 299
44.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
114
38.1%
1 29
 
9.7%
) 24
 
8.0%
( 24
 
8.0%
, 18
 
6.0%
2 18
 
6.0%
3 18
 
6.0%
9 12
 
4.0%
4 11
 
3.7%
6 7
 
2.3%
Other values (5) 24
 
8.0%
Hangul
ValueCountFrequency (%)
대 36
 
9.8%
중 27
 
7.3%
동 27
 
7.3%
역 24
 
6.5%
로 24
 
6.5%
시 24
 
6.5%
전 24
 
6.5%
구 24
 
6.5%
광 24
 
6.5%
층 14
 
3.8%
Other values (45) 120
32.6%

업종명
Text

Distinct21
Distinct (%)87.5%
Missing0
Missing (%)0.0%
Memory size320.0 B
2024-03-15T09:20:36.857520image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length35
Mean length21.875
Min length11

Characters and Unicode

Total characters525
Distinct characters66
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

Unique19 ?
Unique (%)79.2%

Sample

1st row남자용 겉옷 제조업 외 6 종
2nd row남자용 겉옷 제조업, 근무복, 작업복 및 유사의복 제조업 외 7 종
3rd row금속 문, 창, 셔터 및 관련제품 제조업, 플라스틱 창호 제조업
4th row플라스틱 창호 제조업 외 3 종
5th row전시용 모형 제조업, 장식용 목제품 제조업 외 5종
ValueCountFrequency (%)
제조업 28
16.2%
외 22
12.7%
종 19
 
11.0%
및 11
 
6.4%
근무복 7
 
4.0%
작업복 7
 
4.0%
유사의복 7
 
4.0%
남자용 7
 
4.0%
겉옷 7
 
4.0%
플라스틱 6
 
3.5%
Other values (32) 52
30.1%
2024-03-15T09:20:37.931561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
149
28.4%
업 35
 
6.7%
제 34
 
6.5%
조 28
 
5.3%
외 22
 
4.2%
복 21
 
4.0%
종 20
 
3.8%
, 13
 
2.5%
용 11
 
2.1%
및 11
 
2.1%
Other values (56) 181
34.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 342
65.1%
Space Separator 149
28.4%
Decimal Number 21
 
4.0%
Other Punctuation 13
 
2.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 35
 
10.2%
제 34
 
9.9%
조 28
 
8.2%
외 22
 
6.4%
복 21
 
6.1%
종 20
 
5.8%
용 11
 
3.2%
및 11
 
3.2%
유 8
 
2.3%
스 8
 
2.3%
Other values (47) 144
42.1%
Decimal Number
ValueCountFrequency (%)
2 5
23.8%
6 4
19.0%
4 3
14.3%
3 3
14.3%
7 2
 
9.5%
1 2
 
9.5%
5 2
 
9.5%
Space Separator
ValueCountFrequency (%)
149
100.0%
Other Punctuation
ValueCountFrequency (%)
, 13
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 342
65.1%
Common 183
34.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 35
 
10.2%
제 34
 
9.9%
조 28
 
8.2%
외 22
 
6.4%
복 21
 
6.1%
종 20
 
5.8%
용 11
 
3.2%
및 11
 
3.2%
유 8
 
2.3%
스 8
 
2.3%
Other values (47) 144
42.1%
Common
ValueCountFrequency (%)
149
81.4%
, 13
 
7.1%
2 5
 
2.7%
6 4
 
2.2%
4 3
 
1.6%
3 3
 
1.6%
7 2
 
1.1%
1 2
 
1.1%
5 2
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 342
65.1%
ASCII 183
34.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
149
81.4%
, 13
 
7.1%
2 5
 
2.7%
6 4
 
2.2%
4 3
 
1.6%
3 3
 
1.6%
7 2
 
1.1%
1 2
 
1.1%
5 2
 
1.1%
Hangul
ValueCountFrequency (%)
업 35
 
10.2%
제 34
 
9.9%
조 28
 
8.2%
외 22
 
6.4%
복 21
 
6.1%
종 20
 
5.8%
용 11
 
3.2%
및 11
 
3.2%
유 8
 
2.3%
스 8
 
2.3%
Other values (47) 144
42.1%

전화번호
Text

MISSING 

Distinct22
Distinct (%)100.0%
Missing2
Missing (%)8.3%
Memory size320.0 B
2024-03-15T09:20:38.666386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.090909
Min length12

Characters and Unicode

Total characters266
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

Unique22 ?
Unique (%)100.0%

Sample

1st row070-4770-9783
2nd row042-585-1998
3rd row042-584-3910
4th row042-583-9121
5th row042-223-6536
ValueCountFrequency (%)
042-226-5644 1
 
4.5%
042-584-3910 1
 
4.5%
042-226-7279 1
 
4.5%
042-282-5656 1
 
4.5%
042-582-9997 1
 
4.5%
070-4286-2207 1
 
4.5%
042-673-9080 1
 
4.5%
042-633-0038 1
 
4.5%
042-282-5486 1
 
4.5%
042-226-5475 1
 
4.5%
Other values (12) 12
54.5%
2024-03-15T09:20:39.780160image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 47
17.7%
- 44
16.5%
0 34
12.8%
4 28
10.5%
5 24
9.0%
3 20
7.5%
6 17
 
6.4%
8 16
 
6.0%
7 16
 
6.0%
9 15
 
5.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 222
83.5%
Dash Punctuation 44
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 47
21.2%
0 34
15.3%
4 28
12.6%
5 24
10.8%
3 20
9.0%
6 17
 
7.7%
8 16
 
7.2%
7 16
 
7.2%
9 15
 
6.8%
1 5
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 266
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 47
17.7%
- 44
16.5%
0 34
12.8%
4 28
10.5%
5 24
9.0%
3 20
7.5%
6 17
 
6.4%
8 16
 
6.0%
7 16
 
6.0%
9 15
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 266
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 47
17.7%
- 44
16.5%
0 34
12.8%
4 28
10.5%
5 24
9.0%
3 20
7.5%
6 17
 
6.4%
8 16
 
6.0%
7 16
 
6.0%
9 15
 
5.6%

팩스번호
Text

MISSING 

Distinct20
Distinct (%)100.0%
Missing4
Missing (%)16.7%
Memory size320.0 B
2024-03-15T09:20:40.938167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.05
Min length12

Characters and Unicode

Total characters241
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

Unique20 ?
Unique (%)100.0%

Sample

1st row02-6971-9033
2nd row042-585-5104
3rd row042-584-3922
4th row042-584-4748
5th row050-4022-6536
ValueCountFrequency (%)
042-226-7279 1
 
5.0%
042-584-3922 1
 
5.0%
042-584-8111 1
 
5.0%
042-282-5656 1
 
5.0%
042-586-5536 1
 
5.0%
031-575-9005 1
 
5.0%
042-673-9081 1
 
5.0%
042-633-0068 1
 
5.0%
042-828-5488 1
 
5.0%
042-274-3315 1
 
5.0%
Other values (10) 10
50.0%
2024-03-15T09:20:42.325525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 40
16.6%
2 36
14.9%
4 31
12.9%
0 30
12.4%
5 28
11.6%
8 18
7.5%
3 17
7.1%
6 15
 
6.2%
7 10
 
4.1%
9 8
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 201
83.4%
Dash Punctuation 40
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 36
17.9%
4 31
15.4%
0 30
14.9%
5 28
13.9%
8 18
9.0%
3 17
8.5%
6 15
7.5%
7 10
 
5.0%
9 8
 
4.0%
1 8
 
4.0%
Dash Punctuation
ValueCountFrequency (%)
- 40
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 241
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 40
16.6%
2 36
14.9%
4 31
12.9%
0 30
12.4%
5 28
11.6%
8 18
7.5%
3 17
7.1%
6 15
 
6.2%
7 10
 
4.1%
9 8
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 241
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 40
16.6%
2 36
14.9%
4 31
12.9%
0 30
12.4%
5 28
11.6%
8 18
7.5%
3 17
7.1%
6 15
 
6.2%
7 10
 
4.1%
9 8
 
3.3%

종업원수
Real number (ℝ)

Distinct12
Distinct (%)50.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean8.375
Minimum1
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size344.0 B
2024-03-15T09:20:42.777588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q13
median4
Q38.5
95-th percentile26.5
Maximum49
Range48
Interquartile range (IQR)5.5

Descriptive statistics

Standard deviation10.805846
Coefficient of variation (CV)1.2902502
Kurtosis8.5719036
Mean8.375
Median Absolute Deviation (MAD)2
Skewness2.7619799
Sum201
Variance116.7663
MonotonicityNot monotonic
2024-03-15T09:20:43.209987image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
4 6
25.0%
3 4
16.7%
2 4
16.7%
6 2
 
8.3%
13 1
 
4.2%
49 1
 
4.2%
1 1
 
4.2%
14 1
 
4.2%
28 1
 
4.2%
15 1
 
4.2%
Other values (2) 2
 
8.3%
ValueCountFrequency (%)
1 1
 
4.2%
2 4
16.7%
3 4
16.7%
4 6
25.0%
6 2
 
8.3%
7 1
 
4.2%
13 1
 
4.2%
14 1
 
4.2%
15 1
 
4.2%
18 1
 
4.2%
ValueCountFrequency (%)
49 1
 
4.2%
28 1
 
4.2%
18 1
 
4.2%
15 1
 
4.2%
14 1
 
4.2%
13 1
 
4.2%
7 1
 
4.2%
6 2
 
8.3%
4 6
25.0%
3 4
16.7%

Interactions

2024-03-15T09:20:30.593220image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:20:30.101645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:20:30.740680image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T09:20:30.344326image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T09:20:43.482708image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번회사명공장대표주소(도로명)업종명전화번호팩스번호종업원수
순번1.0001.0001.0000.7171.0001.0000.255
회사명1.0001.0001.0001.0001.0001.0001.000
공장대표주소(도로명)1.0001.0001.0001.0001.0001.0001.000
업종명0.7171.0001.0001.0001.0001.0000.677
전화번호1.0001.0001.0001.0001.0001.0001.000
팩스번호1.0001.0001.0001.0001.0001.0001.000
종업원수0.2551.0001.0000.6771.0001.0001.000
2024-03-15T09:20:43.726729image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번종업원수
순번1.0000.219
종업원수0.2191.000

Missing values

2024-03-15T09:20:30.930745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T09:20:31.135618image/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.
2024-03-15T09:20:31.414387image/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

순번회사명공장대표주소(도로명)업종명전화번호팩스번호종업원수
01(주) 더헤르첸대전광역시 중구 천근로46번길 34, 1층 (문화동)남자용 겉옷 제조업 외 6 종070-4770-978302-6971-90334
12(주)무궁화용사촌에프앤씨(F&C) 문화지점대전광역시 중구 천근로46번길 27, 1층 (문화동, 재경주택)남자용 겉옷 제조업, 근무복, 작업복 및 유사의복 제조업 외 7 종042-585-1998042-585-510413
23(주)부성이엔씨대전광역시 중구 성산로19번길 26 (안영동)금속 문, 창, 셔터 및 관련제품 제조업, 플라스틱 창호 제조업042-584-3910042-584-39224
34(주)성광창호디자인대전광역시 중구 안영로 35, 1,2층 (안영동)플라스틱 창호 제조업 외 3 종042-583-9121042-584-474849
45(주)에스지이엔지 건축사사무소대전광역시 중구 동서대로 1433, 3층 (중촌동)전시용 모형 제조업, 장식용 목제품 제조업 외 5종042-223-6536050-4022-65363
56(주)위몬대전광역시 중구 계룡로816번길 16, 3층 (오류동)근무복, 작업복 및 유사의복 제조업 외 1 종042-525-5857042-525-58564
67(주)하나대전광역시 중구 대흥로111번길 40-8, 3층 3-1호(대흥동)그 외 기타 플라스틱 제품 제조업 외 2 종042-672-3030<NA>1
78가나롤스크린대전광역시 중구 계룡로 833, 1층, 지하1층 (용두동)커튼 및 유사제품 제조업 외 7 종042-222-2353042-222-23483
89가온유니폼대전광역시 중구 보문로 91, 2층 (부사동)남자용 겉옷 제조업 외 4 종<NA><NA>3
910대진피엔엠대전광역시 중구 어덕마을로 93-9 (중촌동)그 외 기타 플라스틱 제품 제조업042-673-3339042-673-33402
순번회사명공장대표주소(도로명)업종명전화번호팩스번호종업원수
1415이노테크대전광역시 중구 대흥로24번길 29-9 (대사동)기타 목재가구 제조업 외 4 종042-257-3946042-257-39462
1516일신패션, 에이스베이직학생복대전광역시 중구 보문로 221 (대흥동)남자용 겉옷 제조업 외 3 종042-226-5475042-274-33156
1617재경실업대전광역시 중구 대둔산로 419 (산성동) 2층 202호남자용 겉옷 제조업 외 16 종042-282-5486042-828-548828
1718주식회사 건미대전광역시 중구 대종로 162, 주1 (호동)플라스틱 창호 제조업 외 2 종042-633-0038042-633-00683
1819주식회사 메스코리아대전광역시 중구 동서대로1365번길 12, 1층 (목동)가방 및 기타 보호용 케이스 제조업, 근무복, 작업복 및 유사의복 제조업 외 6 종<NA><NA>15
1920주식회사 비긴스포츠대전광역시 중구 유천로33번길 55(유천동)근무복, 작업복 및 유사의복 제조업 외 3 종042-673-9080042-673-90816
2021주식회사 엔에이치대전광역시 중구 대둔산로 419, 201호 (산성동)근무복, 작업복 및 유사의복 제조업 외 2 종070-4286-2207031-575-900518
2122한일사대전광역시 중구 보문산로 274-29 (문화동)근무복, 작업복 및 유사의복 제조업 외 2 종042-582-9997042-586-55364
2223한화큐비클대전광역시 중구 모암로 90-13 (호동)기타 건축용 나무제품 제조업042-282-5656042-282-56564
2324한화한성시스템대전광역시 중구 대둔산로137번길 37 (안영동)플라스틱 창호 제조업042-586-1555042-586-45557