Overview

Dataset statistics

Number of variables6
Number of observations4004
Missing cells1
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory191.7 KiB
Average record size in memory49.0 B

Variable types

Numeric1
Text3
Categorical2

Dataset

Description인천광역시 서구관내에 위치한 등록공장 현황(업체명, 단지명, 생산품, 소재지)에 관한 정보를 담은 데이터 파일입니다.
Author인천광역시 서구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15039525&srcSe=7661IVAWM27C61E190

Alerts

데이터기준일자 has constant value ""Constant
순번 has unique valuesUnique

Reproduction

Analysis started2024-03-18 04:11:18.060016
Analysis finished2024-03-18 04:11:20.205964
Duration2.15 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct4004
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2002.5
Minimum1
Maximum4004
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size35.3 KiB
2024-03-18T13:11:20.283630image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile201.15
Q11001.75
median2002.5
Q33003.25
95-th percentile3803.85
Maximum4004
Range4003
Interquartile range (IQR)2001.5

Descriptive statistics

Standard deviation1155.9996
Coefficient of variation (CV)0.57727819
Kurtosis-1.2
Mean2002.5
Median Absolute Deviation (MAD)1001
Skewness0
Sum8018010
Variance1336335
MonotonicityStrictly increasing
2024-03-18T13:11:20.412107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
< 0.1%
2676 1
 
< 0.1%
2663 1
 
< 0.1%
2664 1
 
< 0.1%
2665 1
 
< 0.1%
2666 1
 
< 0.1%
2667 1
 
< 0.1%
2668 1
 
< 0.1%
2669 1
 
< 0.1%
2670 1
 
< 0.1%
Other values (3994) 3994
99.8%
ValueCountFrequency (%)
1 1
< 0.1%
2 1
< 0.1%
3 1
< 0.1%
4 1
< 0.1%
5 1
< 0.1%
6 1
< 0.1%
7 1
< 0.1%
8 1
< 0.1%
9 1
< 0.1%
10 1
< 0.1%
ValueCountFrequency (%)
4004 1
< 0.1%
4003 1
< 0.1%
4002 1
< 0.1%
4001 1
< 0.1%
4000 1
< 0.1%
3999 1
< 0.1%
3998 1
< 0.1%
3997 1
< 0.1%
3996 1
< 0.1%
3995 1
< 0.1%
Distinct3860
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size31.4 KiB
2024-03-18T13:11:20.638496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length21
Mean length6.9155844
Min length2

Characters and Unicode

Total characters27690
Distinct characters652
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3736 ?
Unique (%)93.3%

Sample

1st row(사)대한해병대장애인협회
2nd row(사)한국근로장애인진흥회
3rd row(사)한국장애인기업협회 가구사업소
4th row(유)다이아맥스코리아
5th row(유)프리티스킨인터내셔널
ValueCountFrequency (%)
주식회사 154
 
3.6%
인천공장 13
 
0.3%
농업회사법인 10
 
0.2%
인천지점 9
 
0.2%
주)우딘 6
 
0.1%
tech 5
 
0.1%
대명금속 5
 
0.1%
1공장 4
 
0.1%
핸즈코퍼레이션(주 4
 
0.1%
태성정밀 4
 
0.1%
Other values (3914) 4084
95.0%
2024-03-18T13:11:20.989597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2488
 
9.0%
) 2306
 
8.3%
( 2304
 
8.3%
933
 
3.4%
779
 
2.8%
501
 
1.8%
482
 
1.7%
355
 
1.3%
344
 
1.2%
342
 
1.2%
Other values (642) 16856
60.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 22102
79.8%
Close Punctuation 2306
 
8.3%
Open Punctuation 2304
 
8.3%
Uppercase Letter 439
 
1.6%
Space Separator 308
 
1.1%
Other Punctuation 64
 
0.2%
Other Symbol 55
 
0.2%
Decimal Number 51
 
0.2%
Lowercase Letter 51
 
0.2%
Dash Punctuation 10
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
2488
 
11.3%
933
 
4.2%
779
 
3.5%
501
 
2.3%
482
 
2.2%
355
 
1.6%
344
 
1.6%
342
 
1.5%
328
 
1.5%
321
 
1.5%
Other values (581) 15229
68.9%
Uppercase Letter
ValueCountFrequency (%)
E 59
13.4%
C 43
 
9.8%
T 40
 
9.1%
S 31
 
7.1%
N 31
 
7.1%
H 28
 
6.4%
G 27
 
6.2%
K 22
 
5.0%
M 22
 
5.0%
I 16
 
3.6%
Other values (14) 120
27.3%
Lowercase Letter
ValueCountFrequency (%)
o 7
13.7%
e 7
13.7%
a 5
9.8%
c 4
 
7.8%
t 4
 
7.8%
i 3
 
5.9%
r 3
 
5.9%
p 3
 
5.9%
d 2
 
3.9%
l 2
 
3.9%
Other values (8) 11
21.6%
Decimal Number
ValueCountFrequency (%)
2 21
41.2%
1 15
29.4%
3 4
 
7.8%
7 2
 
3.9%
0 2
 
3.9%
5 2
 
3.9%
9 2
 
3.9%
4 2
 
3.9%
6 1
 
2.0%
Other Punctuation
ValueCountFrequency (%)
. 45
70.3%
& 15
 
23.4%
, 2
 
3.1%
' 1
 
1.6%
/ 1
 
1.6%
Close Punctuation
ValueCountFrequency (%)
) 2306
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2304
100.0%
Space Separator
ValueCountFrequency (%)
308
100.0%
Other Symbol
ValueCountFrequency (%)
55
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 10
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 22157
80.0%
Common 5043
 
18.2%
Latin 490
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
2488
 
11.2%
933
 
4.2%
779
 
3.5%
501
 
2.3%
482
 
2.2%
355
 
1.6%
344
 
1.6%
342
 
1.5%
328
 
1.5%
321
 
1.4%
Other values (582) 15284
69.0%
Latin
ValueCountFrequency (%)
E 59
 
12.0%
C 43
 
8.8%
T 40
 
8.2%
S 31
 
6.3%
N 31
 
6.3%
H 28
 
5.7%
G 27
 
5.5%
K 22
 
4.5%
M 22
 
4.5%
I 16
 
3.3%
Other values (32) 171
34.9%
Common
ValueCountFrequency (%)
) 2306
45.7%
( 2304
45.7%
308
 
6.1%
. 45
 
0.9%
2 21
 
0.4%
1 15
 
0.3%
& 15
 
0.3%
- 10
 
0.2%
3 4
 
0.1%
7 2
 
< 0.1%
Other values (8) 13
 
0.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 22102
79.8%
ASCII 5533
 
20.0%
None 55
 
0.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
2488
 
11.3%
933
 
4.2%
779
 
3.5%
501
 
2.3%
482
 
2.2%
355
 
1.6%
344
 
1.6%
342
 
1.5%
328
 
1.5%
321
 
1.5%
Other values (581) 15229
68.9%
ASCII
ValueCountFrequency (%)
) 2306
41.7%
( 2304
41.6%
308
 
5.6%
E 59
 
1.1%
. 45
 
0.8%
C 43
 
0.8%
T 40
 
0.7%
S 31
 
0.6%
N 31
 
0.6%
H 28
 
0.5%
Other values (50) 338
 
6.1%
None
ValueCountFrequency (%)
55
100.0%

단지명
Categorical

Distinct9
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size31.4 KiB
<NA>
2051 
뷰티풀파크
798 
한국수출산업(주안)국가산업단지
327 
인천서부일반산업단지
260 
인천일반산업단지
232 
Other values (4)
336 

Length

Max length17
Median length4
Mean length6.5262238
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row뷰티풀파크
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row인천일반산업단지

Common Values

ValueCountFrequency (%)
<NA> 2051
51.2%
뷰티풀파크 798
 
19.9%
한국수출산업(주안)국가산업단지 327
 
8.2%
인천서부일반산업단지 260
 
6.5%
인천일반산업단지 232
 
5.8%
IHP도시첨단산업단지 190
 
4.7%
I-Food Park일반산업단지 56
 
1.4%
인천기계일반산업단지 51
 
1.3%
인천청라1지구일반산업단지 39
 
1.0%

Length

2024-03-18T13:11:21.114578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T13:11:21.223745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 2051
50.5%
뷰티풀파크 798
 
19.7%
한국수출산업(주안)국가산업단지 327
 
8.1%
인천서부일반산업단지 260
 
6.4%
인천일반산업단지 232
 
5.7%
ihp도시첨단산업단지 190
 
4.7%
i-food 56
 
1.4%
park일반산업단지 56
 
1.4%
인천기계일반산업단지 51
 
1.3%
인천청라1지구일반산업단지 39
 
1.0%
Distinct3271
Distinct (%)81.7%
Missing1
Missing (%)< 0.1%
Memory size31.4 KiB
2024-03-18T13:11:21.455835image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length103
Median length50
Mean length8.9290532
Min length1

Characters and Unicode

Total characters35743
Distinct characters742
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3014 ?
Unique (%)75.3%

Sample

1st row하수처리장치 및 구성품, 컨베이어 및 액세서리
2nd row복사용지, 화장지, 수처리제, 마스크, 영상감시장치CCTV
3rd row사무용가구
4th row석재가공용 다이아몬드 공구
5th row화장품(마스크팩)
ValueCountFrequency (%)
157
 
2.2%
120
 
1.7%
부품 95
 
1.3%
인쇄회로기판 73
 
1.0%
66
 
0.9%
자동차부품 52
 
0.7%
플라스틱 48
 
0.7%
금형 46
 
0.6%
화장품 43
 
0.6%
산업용 41
 
0.6%
Other values (4042) 6346
89.5%
2024-03-18T13:11:21.893257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3117
 
8.7%
, 1971
 
5.5%
1689
 
4.7%
930
 
2.6%
604
 
1.7%
600
 
1.7%
590
 
1.7%
559
 
1.6%
552
 
1.5%
537
 
1.5%
Other values (732) 24594
68.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 28676
80.2%
Space Separator 3117
 
8.7%
Other Punctuation 2035
 
5.7%
Uppercase Letter 1123
 
3.1%
Lowercase Letter 389
 
1.1%
Open Punctuation 185
 
0.5%
Close Punctuation 184
 
0.5%
Decimal Number 25
 
0.1%
Dash Punctuation 6
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
1689
 
5.9%
930
 
3.2%
604
 
2.1%
600
 
2.1%
590
 
2.1%
559
 
1.9%
552
 
1.9%
537
 
1.9%
477
 
1.7%
477
 
1.7%
Other values (666) 21661
75.5%
Uppercase Letter
ValueCountFrequency (%)
C 145
12.9%
E 129
11.5%
L 112
10.0%
D 111
9.9%
P 90
 
8.0%
T 72
 
6.4%
A 56
 
5.0%
B 54
 
4.8%
S 48
 
4.3%
V 46
 
4.1%
Other values (14) 260
23.2%
Lowercase Letter
ValueCountFrequency (%)
e 48
12.3%
o 33
 
8.5%
r 31
 
8.0%
a 30
 
7.7%
t 30
 
7.7%
n 27
 
6.9%
l 23
 
5.9%
s 22
 
5.7%
c 20
 
5.1%
i 19
 
4.9%
Other values (13) 106
27.2%
Decimal Number
ValueCountFrequency (%)
3 10
40.0%
2 5
20.0%
0 3
 
12.0%
6 2
 
8.0%
4 2
 
8.0%
1 1
 
4.0%
9 1
 
4.0%
5 1
 
4.0%
Other Punctuation
ValueCountFrequency (%)
, 1971
96.9%
. 41
 
2.0%
/ 19
 
0.9%
& 4
 
0.2%
Math Symbol
ValueCountFrequency (%)
+ 1
33.3%
> 1
33.3%
< 1
33.3%
Space Separator
ValueCountFrequency (%)
3117
100.0%
Open Punctuation
ValueCountFrequency (%)
( 185
100.0%
Close Punctuation
ValueCountFrequency (%)
) 184
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 28675
80.2%
Common 5555
 
15.5%
Latin 1512
 
4.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
1689
 
5.9%
930
 
3.2%
604
 
2.1%
600
 
2.1%
590
 
2.1%
559
 
1.9%
552
 
1.9%
537
 
1.9%
477
 
1.7%
477
 
1.7%
Other values (665) 21660
75.5%
Latin
ValueCountFrequency (%)
C 145
 
9.6%
E 129
 
8.5%
L 112
 
7.4%
D 111
 
7.3%
P 90
 
6.0%
T 72
 
4.8%
A 56
 
3.7%
B 54
 
3.6%
S 48
 
3.2%
e 48
 
3.2%
Other values (37) 647
42.8%
Common
ValueCountFrequency (%)
3117
56.1%
, 1971
35.5%
( 185
 
3.3%
) 184
 
3.3%
. 41
 
0.7%
/ 19
 
0.3%
3 10
 
0.2%
- 6
 
0.1%
2 5
 
0.1%
& 4
 
0.1%
Other values (9) 13
 
0.2%
Han
ValueCountFrequency (%)
1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 28675
80.2%
ASCII 7067
 
19.8%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3117
44.1%
, 1971
27.9%
( 185
 
2.6%
) 184
 
2.6%
C 145
 
2.1%
E 129
 
1.8%
L 112
 
1.6%
D 111
 
1.6%
P 90
 
1.3%
T 72
 
1.0%
Other values (56) 951
 
13.5%
Hangul
ValueCountFrequency (%)
1689
 
5.9%
930
 
3.2%
604
 
2.1%
600
 
2.1%
590
 
2.1%
559
 
1.9%
552
 
1.9%
537
 
1.9%
477
 
1.7%
477
 
1.7%
Other values (665) 21660
75.5%
CJK
ValueCountFrequency (%)
1
100.0%
Distinct3739
Distinct (%)93.4%
Missing0
Missing (%)0.0%
Memory size31.4 KiB
2024-03-18T13:11:22.139355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length89
Median length57
Mean length29.788961
Min length14

Characters and Unicode

Total characters119275
Distinct characters369
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique3543 ?
Unique (%)88.5%

Sample

1st row인천광역시 서구 도담2로 6(오류동)
2nd row인천광역시 서구 원당대로608번안길 15 (당하동) 1동 외 7필지
3rd row인천광역시 서구 가현산로23번길 36 (마전동)
4th row인천광역시 서구 염곡로15번길 22 (가좌동)
5th row인천광역시 서구 가정로38번길 18, 1동 2층 20호 (가좌동, 영창테크노타운)
ValueCountFrequency (%)
서구 4005
 
16.8%
인천광역시 4004
 
16.8%
가좌동 1190
 
5.0%
오류동 762
 
3.2%
석남동 327
 
1.4%
324
 
1.4%
원창동 258
 
1.1%
1동 242
 
1.0%
경서동 221
 
0.9%
1필지 219
 
0.9%
Other values (2695) 12263
51.5%
2024-03-18T13:11:22.521479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
19817
 
16.6%
4840
 
4.1%
1 4694
 
3.9%
4338
 
3.6%
4192
 
3.5%
4176
 
3.5%
) 4103
 
3.4%
( 4103
 
3.4%
4051
 
3.4%
4023
 
3.4%
Other values (359) 60938
51.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 67775
56.8%
Decimal Number 20107
 
16.9%
Space Separator 19817
 
16.6%
Close Punctuation 4103
 
3.4%
Open Punctuation 4103
 
3.4%
Other Punctuation 2112
 
1.8%
Dash Punctuation 831
 
0.7%
Uppercase Letter 385
 
0.3%
Math Symbol 28
 
< 0.1%
Lowercase Letter 13
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
4840
 
7.1%
4338
 
6.4%
4192
 
6.2%
4176
 
6.2%
4051
 
6.0%
4023
 
5.9%
4013
 
5.9%
4005
 
5.9%
4003
 
5.9%
2168
 
3.2%
Other values (309) 27966
41.3%
Uppercase Letter
ValueCountFrequency (%)
B 122
31.7%
A 100
26.0%
C 42
 
10.9%
D 27
 
7.0%
T 16
 
4.2%
I 13
 
3.4%
E 12
 
3.1%
F 11
 
2.9%
R 7
 
1.8%
P 7
 
1.8%
Other values (10) 28
 
7.3%
Decimal Number
ValueCountFrequency (%)
1 4694
23.3%
2 2748
13.7%
3 2112
10.5%
4 1956
9.7%
5 1737
 
8.6%
0 1665
 
8.3%
6 1418
 
7.1%
8 1384
 
6.9%
9 1222
 
6.1%
7 1171
 
5.8%
Lowercase Letter
ValueCountFrequency (%)
l 2
15.4%
c 2
15.4%
e 2
15.4%
u 1
7.7%
n 1
7.7%
b 1
7.7%
h 1
7.7%
t 1
7.7%
o 1
7.7%
r 1
7.7%
Other Punctuation
ValueCountFrequency (%)
, 2080
98.5%
. 13
 
0.6%
& 13
 
0.6%
/ 6
 
0.3%
Space Separator
ValueCountFrequency (%)
19817
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4103
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4103
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 831
100.0%
Math Symbol
ValueCountFrequency (%)
~ 28
100.0%
Other Symbol
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 67776
56.8%
Common 51101
42.8%
Latin 398
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
4840
 
7.1%
4338
 
6.4%
4192
 
6.2%
4176
 
6.2%
4051
 
6.0%
4023
 
5.9%
4013
 
5.9%
4005
 
5.9%
4003
 
5.9%
2168
 
3.2%
Other values (310) 27967
41.3%
Latin
ValueCountFrequency (%)
B 122
30.7%
A 100
25.1%
C 42
 
10.6%
D 27
 
6.8%
T 16
 
4.0%
I 13
 
3.3%
E 12
 
3.0%
F 11
 
2.8%
R 7
 
1.8%
P 7
 
1.8%
Other values (20) 41
 
10.3%
Common
ValueCountFrequency (%)
19817
38.8%
1 4694
 
9.2%
) 4103
 
8.0%
( 4103
 
8.0%
2 2748
 
5.4%
3 2112
 
4.1%
, 2080
 
4.1%
4 1956
 
3.8%
5 1737
 
3.4%
0 1665
 
3.3%
Other values (9) 6086
 
11.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 67775
56.8%
ASCII 51499
43.2%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
19817
38.5%
1 4694
 
9.1%
) 4103
 
8.0%
( 4103
 
8.0%
2 2748
 
5.3%
3 2112
 
4.1%
, 2080
 
4.0%
4 1956
 
3.8%
5 1737
 
3.4%
0 1665
 
3.2%
Other values (39) 6484
 
12.6%
Hangul
ValueCountFrequency (%)
4840
 
7.1%
4338
 
6.4%
4192
 
6.2%
4176
 
6.2%
4051
 
6.0%
4023
 
5.9%
4013
 
5.9%
4005
 
5.9%
4003
 
5.9%
2168
 
3.2%
Other values (309) 27966
41.3%
None
ValueCountFrequency (%)
1
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)< 0.1%
Missing0
Missing (%)0.0%
Memory size31.4 KiB
2023-09-30
4004 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-30
2nd row2023-09-30
3rd row2023-09-30
4th row2023-09-30
5th row2023-09-30

Common Values

ValueCountFrequency (%)
2023-09-30 4004
100.0%

Length

2024-03-18T13:11:22.631665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-18T13:11:22.716438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-30 4004
100.0%

Interactions

2024-03-18T13:11:19.911084image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-18T13:11:22.765647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번단지명
순번1.0000.174
단지명0.1741.000
2024-03-18T13:11:22.854017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번단지명
순번1.0000.083
단지명0.0831.000

Missing values

2024-03-18T13:11:20.074679image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-18T13:11:20.160876image/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

순번회사명단지명생산품공장대표주소데이터기준일자
01(사)대한해병대장애인협회뷰티풀파크하수처리장치 및 구성품, 컨베이어 및 액세서리인천광역시 서구 도담2로 6(오류동)2023-09-30
12(사)한국근로장애인진흥회<NA>복사용지, 화장지, 수처리제, 마스크, 영상감시장치CCTV인천광역시 서구 원당대로608번안길 15 (당하동) 1동 외 7필지2023-09-30
23(사)한국장애인기업협회 가구사업소<NA>사무용가구인천광역시 서구 가현산로23번길 36 (마전동)2023-09-30
34(유)다이아맥스코리아<NA>석재가공용 다이아몬드 공구인천광역시 서구 염곡로15번길 22 (가좌동)2023-09-30
45(유)프리티스킨인터내셔널인천일반산업단지화장품(마스크팩)인천광역시 서구 가정로38번길 18, 1동 2층 20호 (가좌동, 영창테크노타운)2023-09-30
56(주)119래드<NA>하향식 피난구 및 피난사다리인천광역시 서구 정서진8로 5, 11동 1101호(오류동)2023-09-30
67(주)TPC메카트로닉스한국수출산업(주안)국가산업단지에어실린더,솔레노이드밸브,FRL등인천광역시 서구 백범로603번길 24 (가좌동, A동)2023-09-30
78(주)TPC메카트로닉스<NA>직교로봇, 리니어로봇, 갠트리 스테이지, 3D프린터인천광역시 서구 갑문2로 39(오류동)2023-09-30
89(주)가공보드<NA>보링목재인천광역시 서구 북항로177번길 124 (원창동) B동2023-09-30
910(주)가람바스<NA>금속위생용품인천광역시 서구 봉수대로501번길 58-36 (원창동) 외 1필지2023-09-30
순번회사명단지명생산품공장대표주소데이터기준일자
39943995휴미텍코리아(주)IHP도시첨단산업단지산업용 가습기, 댐퍼인천광역시 서구 파랑로466번길 76 (청라동)2023-09-30
39953996휴코스메딕IHP도시첨단산업단지화장품인천광역시 서구 파랑로 495, 1동 501호(청라동) 외 1필지2023-09-30
39963997흥산섬유<NA>모자,목도리인천광역시 서구 백범로934번길 38-2 (가좌동)2023-09-30
39973998흥영테크<NA>타이밍폴리인천광역시 서구 봉수대로277번길 19 (석남동)2023-09-30
39983999흥용산업(주)<NA>유압프레스,자동화기기,유압기계인천광역시 서구 건지로 85 (석남동, 흥용산업(주) 2동)2023-09-30
39994000희망테크프론<NA>철재구조물인천광역시 서구 보도진로73번길 3 (가좌동)2023-09-30
40004001희성신철(주)<NA>평철, 후레타이인천광역시 서구 단봉로62번안길 23-2 (오류동)2023-09-30
40014002히마라야금속<NA>전기용품,기계부품,청동인천광역시 서구 봉수대로1545번길 10-5 (금곡동, 공장)2023-09-30
40024003힐링우드㈜<NA>목재구조용 집성판인천광역시 서구 검단천로 129-13 (오류동)2023-09-30
40034004힘즈(HIMZ)<NA>가구, 도마인천광역시 서구 건지로109번길 47, 106호(석남동, 정우아파트형공장)2023-09-30