Overview

Dataset statistics

Number of variables8
Number of observations40
Missing cells2
Missing cells (%)0.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.7 KiB
Average record size in memory68.3 B

Variable types

Numeric1
Text5
Categorical2

Dataset

Description인천광역시 서구에 위차한 표면가공 목재 및 목적용 제재목 제조업체 제조업체에 관한 데이터셋입니다. 인천광역시 서구에 위치한 표면가공 목재 및 목적용 제재목 제조 제조업체의 회사명, 생산품, 업종명, 대표주소, 전화번호, 팩스번호에 관한 정보를 포함하고 있습니다.
Author인천광역시 서구
URLhttps://www.data.go.kr/data/15089628/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
전화번호 has 1 (2.5%) missing valuesMissing
팩스번호 has 1 (2.5%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:42:27.018565
Analysis finished2023-12-12 23:42:27.870518
Duration0.85 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct40
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean20.5
Minimum1
Maximum40
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size492.0 B
2023-12-13T08:42:27.937170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.95
Q110.75
median20.5
Q330.25
95-th percentile38.05
Maximum40
Range39
Interquartile range (IQR)19.5

Descriptive statistics

Standard deviation11.690452
Coefficient of variation (CV)0.57026595
Kurtosis-1.2
Mean20.5
Median Absolute Deviation (MAD)10
Skewness0
Sum820
Variance136.66667
MonotonicityStrictly increasing
2023-12-13T08:42:28.080925image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=40)
ValueCountFrequency (%)
1 1
 
2.5%
22 1
 
2.5%
24 1
 
2.5%
25 1
 
2.5%
26 1
 
2.5%
27 1
 
2.5%
28 1
 
2.5%
29 1
 
2.5%
30 1
 
2.5%
31 1
 
2.5%
Other values (30) 30
75.0%
ValueCountFrequency (%)
1 1
2.5%
2 1
2.5%
3 1
2.5%
4 1
2.5%
5 1
2.5%
6 1
2.5%
7 1
2.5%
8 1
2.5%
9 1
2.5%
10 1
2.5%
ValueCountFrequency (%)
40 1
2.5%
39 1
2.5%
38 1
2.5%
37 1
2.5%
36 1
2.5%
35 1
2.5%
34 1
2.5%
33 1
2.5%
32 1
2.5%
31 1
2.5%

회사명
Text

Distinct39
Distinct (%)97.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-13T08:42:28.315857image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length10.5
Mean length6.875
Min length4

Characters and Unicode

Total characters275
Distinct characters82
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

Unique38 ?
Unique (%)95.0%

Sample

1st row(주)가원조경
2nd row(주)공공스토리사업단
3rd row(주)광휘
4th row(주)구일특수목재
5th row(주)금진팀버이앤씨
ValueCountFrequency (%)
주)우딘 2
 
4.9%
주)신유 1
 
2.4%
주)경은에프엔씨 1
 
2.4%
고려공예 1
 
2.4%
대광목형 1
 
2.4%
동오목재 1
 
2.4%
동오목재(주 1
 
2.4%
동화기업(주 1
 
2.4%
목일목재(주 1
 
2.4%
산화목재(주 1
 
2.4%
Other values (30) 30
73.2%
2023-12-13T08:42:28.651183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
( 34
 
12.4%
주 34
 
12.4%
) 34
 
12.4%
목 16
 
5.8%
재 14
 
5.1%
우 10
 
3.6%
드 7
 
2.5%
업 6
 
2.2%
태 4
 
1.5%
영 4
 
1.5%
Other values (72) 112
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 206
74.9%
Open Punctuation 34
 
12.4%
Close Punctuation 34
 
12.4%
Space Separator 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 34
 
16.5%
목 16
 
7.8%
재 14
 
6.8%
우 10
 
4.9%
드 7
 
3.4%
업 6
 
2.9%
태 4
 
1.9%
영 4
 
1.9%
화 4
 
1.9%
대 4
 
1.9%
Other values (69) 103
50.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 206
74.9%
Common 69
 
25.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
주 34
 
16.5%
목 16
 
7.8%
재 14
 
6.8%
우 10
 
4.9%
드 7
 
3.4%
업 6
 
2.9%
태 4
 
1.9%
영 4
 
1.9%
화 4
 
1.9%
대 4
 
1.9%
Other values (69) 103
50.0%
Common
ValueCountFrequency (%)
( 34
49.3%
) 34
49.3%
1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 206
74.9%
ASCII 69
 
25.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
( 34
49.3%
) 34
49.3%
1
 
1.4%
Hangul
ValueCountFrequency (%)
주 34
 
16.5%
목 16
 
7.8%
재 14
 
6.8%
우 10
 
4.9%
드 7
 
3.4%
업 6
 
2.9%
태 4
 
1.9%
영 4
 
1.9%
화 4
 
1.9%
대 4
 
1.9%
Other values (69) 103
50.0%

생산품
Text

Distinct32
Distinct (%)80.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-13T08:42:28.897824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length10.5
Mean length6.9
Min length2

Characters and Unicode

Total characters276
Distinct characters75
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique28 ?
Unique (%)70.0%

Sample

1st row조경시설물
2nd row안내판, 간판
3rd row코팅합판
4th row표면가공목재
5th row각재
ValueCountFrequency (%)
표면가공목재 6
 
13.0%
목형 2
 
4.3%
마루판 2
 
4.3%
목재가공품 2
 
4.3%
제재목 1
 
2.2%
각재,판재,옥창호,건가구 1
 
2.2%
판재 1
 
2.2%
각재,데크 1
 
2.2%
플로어링보드,각재,판재 1
 
2.2%
가구씽크대 1
 
2.2%
Other values (28) 28
60.9%
2023-12-13T08:42:29.273889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
재 35
 
12.7%
목 29
 
10.5%
, 18
 
6.5%
가 17
 
6.2%
공 14
 
5.1%
판 12
 
4.3%
제 10
 
3.6%
표 8
 
2.9%
면 8
 
2.9%
품 8
 
2.9%
Other values (65) 117
42.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 247
89.5%
Other Punctuation 19
 
6.9%
Space Separator 6
 
2.2%
Close Punctuation 2
 
0.7%
Open Punctuation 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
재 35
 
14.2%
목 29
 
11.7%
가 17
 
6.9%
공 14
 
5.7%
판 12
 
4.9%
제 10
 
4.0%
표 8
 
3.2%
면 8
 
3.2%
품 8
 
3.2%
루 6
 
2.4%
Other values (60) 100
40.5%
Other Punctuation
ValueCountFrequency (%)
, 18
94.7%
. 1
 
5.3%
Space Separator
ValueCountFrequency (%)
6
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 247
89.5%
Common 29
 
10.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
재 35
 
14.2%
목 29
 
11.7%
가 17
 
6.9%
공 14
 
5.7%
판 12
 
4.9%
제 10
 
4.0%
표 8
 
3.2%
면 8
 
3.2%
품 8
 
3.2%
루 6
 
2.4%
Other values (60) 100
40.5%
Common
ValueCountFrequency (%)
, 18
62.1%
6
 
20.7%
) 2
 
6.9%
( 2
 
6.9%
. 1
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 247
89.5%
ASCII 29
 
10.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
재 35
 
14.2%
목 29
 
11.7%
가 17
 
6.9%
공 14
 
5.7%
판 12
 
4.9%
제 10
 
4.0%
표 8
 
3.2%
면 8
 
3.2%
품 8
 
3.2%
루 6
 
2.4%
Other values (60) 100
40.5%
ASCII
ValueCountFrequency (%)
, 18
62.1%
6
 
20.7%
) 2
 
6.9%
( 2
 
6.9%
. 1
 
3.4%

업종명
Categorical

Distinct5
Distinct (%)12.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
표면 가공 목재 및 특정 목적용 제재목 제조업
27 
표면 가공 목재 및 특정 목적용 제재목 제조업 외 1 종
6 
표면 가공 목재 및 특정 목적용 제재목 제조업 외 2 종
4 
표면 가공 목재 및 특정 목적용 제재목 제조업 외 3 종
 
2
표면 가공 목재 및 특정 목적용 제재목 제조업 외 6 종
 
1

Length

Max length31
Median length25
Mean length26.95
Min length25

Unique

Unique1 ?
Unique (%)2.5%

Sample

1st row표면 가공 목재 및 특정 목적용 제재목 제조업
2nd row표면 가공 목재 및 특정 목적용 제재목 제조업
3rd row표면 가공 목재 및 특정 목적용 제재목 제조업
4th row표면 가공 목재 및 특정 목적용 제재목 제조업
5th row표면 가공 목재 및 특정 목적용 제재목 제조업 외 2 종

Common Values

ValueCountFrequency (%)
표면 가공 목재 및 특정 목적용 제재목 제조업 27
67.5%
표면 가공 목재 및 특정 목적용 제재목 제조업 외 1 종 6
 
15.0%
표면 가공 목재 및 특정 목적용 제재목 제조업 외 2 종 4
 
10.0%
표면 가공 목재 및 특정 목적용 제재목 제조업 외 3 종 2
 
5.0%
표면 가공 목재 및 특정 목적용 제재목 제조업 외 6 종 1
 
2.5%

Length

2023-12-13T08:42:29.420161image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:42:29.540158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
표면 40
11.1%
가공 40
11.1%
목재 40
11.1%
및 40
11.1%
특정 40
11.1%
목적용 40
11.1%
제재목 40
11.1%
제조업 40
11.1%
외 13
 
3.6%
종 13
 
3.6%
Other values (4) 13
 
3.6%

대표주소
Text

Distinct38
Distinct (%)95.0%
Missing0
Missing (%)0.0%
Memory size452.0 B
2023-12-13T08:42:29.839339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length40
Median length31.5
Mean length26.3
Min length20

Characters and Unicode

Total characters1052
Distinct characters76
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

Unique36 ?
Unique (%)90.0%

Sample

1st row인천광역시 서구 세자봉로76번길 1 (금곡동, 공장)
2nd row인천광역시 서구 마중로 109, C동 (오류동)
3rd row인천광역시 서구 봉수대로162번길 11 (가좌동)
4th row인천광역시 서구 북항로193번길 12 (원창동)
5th row인천광역시 서구 중봉대로 146 (가좌동)
ValueCountFrequency (%)
인천광역시 40
18.4%
서구 40
18.4%
원창동 15
 
6.9%
가좌동 11
 
5.1%
북항로 8
 
3.7%
오류동 5
 
2.3%
석남동 5
 
2.3%
외 2
 
0.9%
9 2
 
0.9%
봉수대로 2
 
0.9%
Other values (79) 87
40.1%
2023-12-13T08:42:30.540486image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
177
 
16.8%
동 47
 
4.5%
) 41
 
3.9%
천 41
 
3.9%
( 41
 
3.9%
서 41
 
3.9%
1 40
 
3.8%
인 40
 
3.8%
시 40
 
3.8%
역 40
 
3.8%
Other values (66) 504
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 598
56.8%
Space Separator 177
 
16.8%
Decimal Number 171
 
16.3%
Close Punctuation 41
 
3.9%
Open Punctuation 41
 
3.9%
Dash Punctuation 12
 
1.1%
Other Punctuation 10
 
1.0%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 47
 
7.9%
천 41
 
6.9%
서 41
 
6.9%
인 40
 
6.7%
시 40
 
6.7%
역 40
 
6.7%
광 40
 
6.7%
구 40
 
6.7%
로 39
 
6.5%
번 21
 
3.5%
Other values (49) 209
34.9%
Decimal Number
ValueCountFrequency (%)
1 40
23.4%
2 25
14.6%
3 20
11.7%
6 19
11.1%
7 16
 
9.4%
4 13
 
7.6%
0 10
 
5.8%
9 10
 
5.8%
5 9
 
5.3%
8 9
 
5.3%
Uppercase Letter
ValueCountFrequency (%)
C 1
50.0%
D 1
50.0%
Space Separator
ValueCountFrequency (%)
177
100.0%
Close Punctuation
ValueCountFrequency (%)
) 41
100.0%
Open Punctuation
ValueCountFrequency (%)
( 41
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%
Other Punctuation
ValueCountFrequency (%)
, 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 598
56.8%
Common 452
43.0%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 47
 
7.9%
천 41
 
6.9%
서 41
 
6.9%
인 40
 
6.7%
시 40
 
6.7%
역 40
 
6.7%
광 40
 
6.7%
구 40
 
6.7%
로 39
 
6.5%
번 21
 
3.5%
Other values (49) 209
34.9%
Common
ValueCountFrequency (%)
177
39.2%
) 41
 
9.1%
( 41
 
9.1%
1 40
 
8.8%
2 25
 
5.5%
3 20
 
4.4%
6 19
 
4.2%
7 16
 
3.5%
4 13
 
2.9%
- 12
 
2.7%
Other values (5) 48
 
10.6%
Latin
ValueCountFrequency (%)
C 1
50.0%
D 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 598
56.8%
ASCII 454
43.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
177
39.0%
) 41
 
9.0%
( 41
 
9.0%
1 40
 
8.8%
2 25
 
5.5%
3 20
 
4.4%
6 19
 
4.2%
7 16
 
3.5%
4 13
 
2.9%
- 12
 
2.6%
Other values (7) 50
 
11.0%
Hangul
ValueCountFrequency (%)
동 47
 
7.9%
천 41
 
6.9%
서 41
 
6.9%
인 40
 
6.7%
시 40
 
6.7%
역 40
 
6.7%
광 40
 
6.7%
구 40
 
6.7%
로 39
 
6.5%
번 21
 
3.5%
Other values (49) 209
34.9%

전화번호
Text

MISSING 

Distinct38
Distinct (%)97.4%
Missing1
Missing (%)2.5%
Memory size452.0 B
2023-12-13T08:42:30.754272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.025641
Min length12

Characters and Unicode

Total characters469
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

Unique37 ?
Unique (%)94.9%

Sample

1st row032-565-0456
2nd row032-673-1458
3rd row032-572-4615
4th row032-582-0964
5th row032-584-8851
ValueCountFrequency (%)
032-583-0160 2
 
5.1%
032-579-2025 1
 
2.6%
032-563-2840 1
 
2.6%
032-575-8130 1
 
2.6%
032-578-0160 1
 
2.6%
032-577-3724 1
 
2.6%
032-577-3719 1
 
2.6%
032-585-0684 1
 
2.6%
032-575-5461 1
 
2.6%
032-575-9361 1
 
2.6%
Other values (28) 28
71.8%
2023-12-13T08:42:31.110044image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 78
16.6%
0 66
14.1%
2 60
12.8%
5 58
12.4%
3 57
12.2%
7 38
8.1%
6 29
 
6.2%
1 27
 
5.8%
8 24
 
5.1%
4 24
 
5.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 391
83.4%
Dash Punctuation 78
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 66
16.9%
2 60
15.3%
5 58
14.8%
3 57
14.6%
7 38
9.7%
6 29
7.4%
1 27
6.9%
8 24
 
6.1%
4 24
 
6.1%
9 8
 
2.0%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 469
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 78
16.6%
0 66
14.1%
2 60
12.8%
5 58
12.4%
3 57
12.2%
7 38
8.1%
6 29
 
6.2%
1 27
 
5.8%
8 24
 
5.1%
4 24
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 469
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 78
16.6%
0 66
14.1%
2 60
12.8%
5 58
12.4%
3 57
12.2%
7 38
8.1%
6 29
 
6.2%
1 27
 
5.8%
8 24
 
5.1%
4 24
 
5.1%

팩스번호
Text

MISSING 

Distinct38
Distinct (%)97.4%
Missing1
Missing (%)2.5%
Memory size452.0 B
2023-12-13T08:42:31.335376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters468
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

Unique37 ?
Unique (%)94.9%

Sample

1st row032-565-0453
2nd row032-673-1459
3rd row032-572-4605
4th row032-714-3440
5th row032-584-8852
ValueCountFrequency (%)
032-583-0161 2
 
5.1%
032-573-6768 1
 
2.6%
032-564-3195 1
 
2.6%
032-577-3281 1
 
2.6%
032-578-0161 1
 
2.6%
032-577-3722 1
 
2.6%
032-577-3718 1
 
2.6%
032-585-0689 1
 
2.6%
032-575-5460 1
 
2.6%
032-575-4124 1
 
2.6%
Other values (28) 28
71.8%
2023-12-13T08:42:31.694817image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 78
16.7%
3 64
13.7%
0 61
13.0%
2 60
12.8%
5 55
11.8%
7 41
8.8%
8 29
 
6.2%
1 26
 
5.6%
6 24
 
5.1%
4 20
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 390
83.3%
Dash Punctuation 78
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 64
16.4%
0 61
15.6%
2 60
15.4%
5 55
14.1%
7 41
10.5%
8 29
7.4%
1 26
6.7%
6 24
 
6.2%
4 20
 
5.1%
9 10
 
2.6%
Dash Punctuation
ValueCountFrequency (%)
- 78
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 468
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 78
16.7%
3 64
13.7%
0 61
13.0%
2 60
12.8%
5 55
11.8%
7 41
8.8%
8 29
 
6.2%
1 26
 
5.6%
6 24
 
5.1%
4 20
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 468
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 78
16.7%
3 64
13.7%
0 61
13.0%
2 60
12.8%
5 55
11.8%
7 41
8.8%
8 29
 
6.2%
1 26
 
5.6%
6 24
 
5.1%
4 20
 
4.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.5%
Missing0
Missing (%)0.0%
Memory size452.0 B
2022-09-19
40 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-09-19
2nd row2022-09-19
3rd row2022-09-19
4th row2022-09-19
5th row2022-09-19

Common Values

ValueCountFrequency (%)
2022-09-19 40
100.0%

Length

2023-12-13T08:42:31.834590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T08:42:31.930448image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-09-19 40
100.0%

Interactions

2023-12-13T08:42:27.441259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:42:31.994298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번회사명생산품업종명대표주소전화번호팩스번호
순번1.0001.0000.3020.0000.9671.0001.000
회사명1.0001.0000.9670.9110.9831.0001.000
생산품0.3020.9671.0000.9820.9760.9640.964
업종명0.0000.9110.9821.0001.0000.9110.911
대표주소0.9670.9830.9761.0001.0000.9820.982
전화번호1.0001.0000.9640.9110.9821.0001.000
팩스번호1.0001.0000.9640.9110.9821.0001.000
2023-12-13T08:42:32.093089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번업종명
순번1.0000.000
업종명0.0001.000

Missing values

2023-12-13T08:42:27.591163image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:42:27.723557image/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.
2023-12-13T08:42:27.829114image/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

순번회사명생산품업종명대표주소전화번호팩스번호데이터기준일자
01(주)가원조경조경시설물표면 가공 목재 및 특정 목적용 제재목 제조업인천광역시 서구 세자봉로76번길 1 (금곡동, 공장)032-565-0456032-565-04532022-09-19
12(주)공공스토리사업단안내판, 간판표면 가공 목재 및 특정 목적용 제재목 제조업인천광역시 서구 마중로 109, C동 (오류동)032-673-1458032-673-14592022-09-19
23(주)광휘코팅합판표면 가공 목재 및 특정 목적용 제재목 제조업인천광역시 서구 봉수대로162번길 11 (가좌동)032-572-4615032-572-46052022-09-19
34(주)구일특수목재표면가공목재표면 가공 목재 및 특정 목적용 제재목 제조업인천광역시 서구 북항로193번길 12 (원창동)032-582-0964032-714-34402022-09-19
45(주)금진팀버이앤씨각재표면 가공 목재 및 특정 목적용 제재목 제조업 외 2 종인천광역시 서구 중봉대로 146 (가좌동)032-584-8851032-584-88522022-09-19
56(주)대영기업우드칩표면 가공 목재 및 특정 목적용 제재목 제조업인천광역시 서구 건지로121번길 38 (석남동)032-574-2121032-571-33042022-09-19
67(주)대현목재목재판재,방부목,제재목,금속울타리, 놀이터용기구표면 가공 목재 및 특정 목적용 제재목 제조업 외 6 종인천광역시 서구 북항로363번길 27(원창동)032-577-7667032-577-78872022-09-19
78(주)모던우드마루판,목재문표면 가공 목재 및 특정 목적용 제재목 제조업 외 1 종인천광역시 서구 북항로363번길 27, D동 (원창동)032-816-3400032-816-34082022-09-19
89(주)신유목재칩표면 가공 목재 및 특정 목적용 제재목 제조업인천광역시 서구 건지로 45-41 (석남동)032-571-4572032-571-45732022-09-19
910(주)아름다운목재목재가공품표면 가공 목재 및 특정 목적용 제재목 제조업인천광역시 서구 북항로 76-28 (원창동)032-575-2729032-575-27282022-09-19
순번회사명생산품업종명대표주소전화번호팩스번호데이터기준일자
3031산화목재(주)표면가공목재표면 가공 목재 및 특정 목적용 제재목 제조업인천광역시 서구 원석로 80 (석남동)032-579-2025032-573-67682022-09-19
3132성진기업(주)가공목재생산표면 가공 목재 및 특정 목적용 제재목 제조업 외 1 종인천광역시 서구 세자봉로100번길 25 (금곡동)032-565-0516032-565-05882022-09-19
3233세화목재(주)제재목표면 가공 목재 및 특정 목적용 제재목 제조업인천광역시 서구 북항로 28-12 (원창동)032-574-7300032-574-73022022-09-19
3334우수목재산업표면가공목재표면 가공 목재 및 특정 목적용 제재목 제조업인천광역시 서구 북항로 28-30 (원창동)032-573-8801032-581-88012022-09-19
3435유한회사 대영합판가구씽크대, 목재원자재표면 가공 목재 및 특정 목적용 제재목 제조업인천광역시 서구 마중로 123 (오류동)032-565-2121032-565-21272022-09-19
3536태백목재(주)플로어링보드,각재,판재표면 가공 목재 및 특정 목적용 제재목 제조업인천광역시 서구 염곡로 112 (가좌동, 1동)032-575-7011032-575-70122022-09-19
3637한송우드(주)마루판표면 가공 목재 및 특정 목적용 제재목 제조업인천광역시 서구 북항로32번안길 111 (원창동)032-572-3648032-572-36292022-09-19
3738해인실업(주)판재, 각재,데크표면 가공 목재 및 특정 목적용 제재목 제조업 외 3 종인천광역시 서구 가정로77번길 56, 1동 2층 (가좌동)032-581-4200032-579-72002022-09-19
3839회성목재(주)각재,판재,옥창호,건가구표면 가공 목재 및 특정 목적용 제재목 제조업 외 2 종인천광역시 서구 백범로910번길 61 (가좌동, 다동)032-575-9361032-575-41242022-09-19
3940힐링우드(주)목재구조용 집성판표면 가공 목재 및 특정 목적용 제재목 제조업 외 1 종인천광역시 서구 검단천로 129-13 (오류동)070-4145-1335032-568-13352022-09-19