Overview

Dataset statistics

Number of variables6
Number of observations622
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory29.9 KiB
Average record size in memory49.2 B

Variable types

Numeric1
Categorical1
Text4

Dataset

Description충청남도 논산시 소재 건축.건설.제조업체 현황 데이터로 업종코드,기업체명,대표자,소재지,주생산품을 포함하고 있습니다.
Author충청남도 논산시
URLhttps://www.data.go.kr/data/15126712/fileData.do

Alerts

연번 is highly overall correlated with 업종코드High correlation
업종코드 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-03-14 20:10:11.218148
Analysis finished2024-03-14 20:10:13.177118
Duration1.96 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct622
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean311.5
Minimum1
Maximum622
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 KiB
2024-03-15T05:10:13.397705image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile32.05
Q1156.25
median311.5
Q3466.75
95-th percentile590.95
Maximum622
Range621
Interquartile range (IQR)310.5

Descriptive statistics

Standard deviation179.70021
Coefficient of variation (CV)0.57688672
Kurtosis-1.2
Mean311.5
Median Absolute Deviation (MAD)155.5
Skewness0
Sum193753
Variance32292.167
MonotonicityStrictly increasing
2024-03-15T05:10:13.919610image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.2%
419 1
 
0.2%
412 1
 
0.2%
413 1
 
0.2%
414 1
 
0.2%
415 1
 
0.2%
416 1
 
0.2%
417 1
 
0.2%
418 1
 
0.2%
420 1
 
0.2%
Other values (612) 612
98.4%
ValueCountFrequency (%)
1 1
0.2%
2 1
0.2%
3 1
0.2%
4 1
0.2%
5 1
0.2%
6 1
0.2%
7 1
0.2%
8 1
0.2%
9 1
0.2%
10 1
0.2%
ValueCountFrequency (%)
622 1
0.2%
621 1
0.2%
620 1
0.2%
619 1
0.2%
618 1
0.2%
617 1
0.2%
616 1
0.2%
615 1
0.2%
614 1
0.2%
613 1
0.2%

업종코드
Categorical

HIGH CORRELATION 

Distinct23
Distinct (%)3.7%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
식료품
149 
비금속광물제품
74 
금속가공제품;기계및가구제외
70 
고무제품및플라스틱제품
52 
섬유제품;의복제외
39 
Other values (18)
238 

Length

Max length19
Median length14
Mean length7.6125402
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row식료품
2nd row식료품
3rd row식료품
4th row식료품
5th row식료품

Common Values

ValueCountFrequency (%)
식료품 149
24.0%
비금속광물제품 74
11.9%
금속가공제품;기계및가구제외 70
11.3%
고무제품및플라스틱제품 52
 
8.4%
섬유제품;의복제외 39
 
6.3%
기타기계및장비 34
 
5.5%
화학물질및화학제품;의약품제외 33
 
5.3%
1차금속 25
 
4.0%
펄프,종이및종이제품 25
 
4.0%
가구 19
 
3.1%
Other values (13) 102
16.4%

Length

2024-03-15T05:10:14.438528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
식료품 149
24.0%
비금속광물제품 74
11.9%
금속가공제품;기계및가구제외 70
11.3%
고무제품및플라스틱제품 52
 
8.4%
섬유제품;의복제외 39
 
6.3%
기타기계및장비 34
 
5.5%
화학물질및화학제품;의약품제외 33
 
5.3%
1차금속 25
 
4.0%
펄프,종이및종이제품 25
 
4.0%
가구 19
 
3.1%
Other values (13) 102
16.4%

기업체명
Text

Distinct621
Distinct (%)99.8%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2024-03-15T05:10:15.516882image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length25
Median length15
Mean length6.4244373
Min length2

Characters and Unicode

Total characters3996
Distinct characters406
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique620 ?
Unique (%)99.7%

Sample

1st rowCJ제일제당㈜ 논산공장
2nd rowKY식품㈜
3rd row가야곡식품
4th row㈜가야촌
5th row가온길영농조합법인
ValueCountFrequency (%)
농업회사법인 23
 
3.2%
논산공장 17
 
2.4%
논산지점 8
 
1.1%
영농조합법인 5
 
0.7%
제2공장 5
 
0.7%
논산2공장 2
 
0.3%
현대알루미늄㈜ 2
 
0.3%
유피씨㈜ 2
 
0.3%
㈜청암 2
 
0.3%
태양금속공업㈜ 2
 
0.3%
Other values (642) 649
90.5%
2024-03-15T05:10:16.993913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 344
 
8.6%
산 151
 
3.8%
업 132
 
3.3%
109
 
2.7%
이 80
 
2.0%
공 69
 
1.7%
스 69
 
1.7%
인 66
 
1.7%
농 64
 
1.6%
장 62
 
1.6%
Other values (396) 2850
71.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3409
85.3%
Other Symbol 344
 
8.6%
Space Separator 109
 
2.7%
Uppercase Letter 58
 
1.5%
Open Punctuation 27
 
0.7%
Close Punctuation 27
 
0.7%
Decimal Number 14
 
0.4%
Lowercase Letter 6
 
0.2%
Other Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 151
 
4.4%
업 132
 
3.9%
이 80
 
2.3%
공 69
 
2.0%
스 69
 
2.0%
인 66
 
1.9%
농 64
 
1.9%
장 62
 
1.8%
사 59
 
1.7%
법 50
 
1.5%
Other values (361) 2607
76.5%
Uppercase Letter
ValueCountFrequency (%)
N 10
17.2%
E 7
12.1%
C 6
10.3%
G 5
 
8.6%
I 4
 
6.9%
O 3
 
5.2%
S 3
 
5.2%
D 3
 
5.2%
F 2
 
3.4%
B 2
 
3.4%
Other values (11) 13
22.4%
Lowercase Letter
ValueCountFrequency (%)
c 1
16.7%
l 1
16.7%
o 1
16.7%
v 1
16.7%
e 1
16.7%
r 1
16.7%
Decimal Number
ValueCountFrequency (%)
2 11
78.6%
3 2
 
14.3%
1 1
 
7.1%
Other Symbol
ValueCountFrequency (%)
㈜ 344
100.0%
Space Separator
ValueCountFrequency (%)
109
100.0%
Open Punctuation
ValueCountFrequency (%)
( 27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 27
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3753
93.9%
Common 179
 
4.5%
Latin 64
 
1.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 344
 
9.2%
산 151
 
4.0%
업 132
 
3.5%
이 80
 
2.1%
공 69
 
1.8%
스 69
 
1.8%
인 66
 
1.8%
농 64
 
1.7%
장 62
 
1.7%
사 59
 
1.6%
Other values (362) 2657
70.8%
Latin
ValueCountFrequency (%)
N 10
15.6%
E 7
 
10.9%
C 6
 
9.4%
G 5
 
7.8%
I 4
 
6.2%
O 3
 
4.7%
S 3
 
4.7%
D 3
 
4.7%
F 2
 
3.1%
B 2
 
3.1%
Other values (17) 19
29.7%
Common
ValueCountFrequency (%)
109
60.9%
( 27
 
15.1%
) 27
 
15.1%
2 11
 
6.1%
. 2
 
1.1%
3 2
 
1.1%
1 1
 
0.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3409
85.3%
None 344
 
8.6%
ASCII 243
 
6.1%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 344
100.0%
Hangul
ValueCountFrequency (%)
산 151
 
4.4%
업 132
 
3.9%
이 80
 
2.3%
공 69
 
2.0%
스 69
 
2.0%
인 66
 
1.9%
농 64
 
1.9%
장 62
 
1.8%
사 59
 
1.7%
법 50
 
1.5%
Other values (361) 2607
76.5%
ASCII
ValueCountFrequency (%)
109
44.9%
( 27
 
11.1%
) 27
 
11.1%
2 11
 
4.5%
N 10
 
4.1%
E 7
 
2.9%
C 6
 
2.5%
G 5
 
2.1%
I 4
 
1.6%
O 3
 
1.2%
Other values (24) 34
 
14.0%

대표자
Text

Distinct585
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2024-03-15T05:10:18.627742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length8
Median length3
Mean length3.0562701
Min length2

Characters and Unicode

Total characters1901
Distinct characters175
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

Unique549 ?
Unique (%)88.3%

Sample

1st row신현재
2nd row박규상
3rd row강귀현
4th row김경수
5th row김창호
ValueCountFrequency (%)
외 4
 
0.6%
이재욱 3
 
0.5%
1 3
 
0.5%
김영자 2
 
0.3%
이세운 2
 
0.3%
김영래 2
 
0.3%
이언구 2
 
0.3%
박준영 2
 
0.3%
김중윤 2
 
0.3%
채현철 2
 
0.3%
Other values (582) 611
96.2%
2024-03-15T05:10:20.418638image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
이 116
 
6.1%
김 113
 
5.9%
정 76
 
4.0%
영 69
 
3.6%
박 65
 
3.4%
성 39
 
2.1%
수 33
 
1.7%
경 32
 
1.7%
현 31
 
1.6%
종 29
 
1.5%
Other values (165) 1298
68.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1877
98.7%
Space Separator 15
 
0.8%
Decimal Number 6
 
0.3%
Other Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 116
 
6.2%
김 113
 
6.0%
정 76
 
4.0%
영 69
 
3.7%
박 65
 
3.5%
성 39
 
2.1%
수 33
 
1.8%
경 32
 
1.7%
현 31
 
1.7%
종 29
 
1.5%
Other values (162) 1274
67.9%
Space Separator
ValueCountFrequency (%)
15
100.0%
Decimal Number
ValueCountFrequency (%)
1 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1877
98.7%
Common 24
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
이 116
 
6.2%
김 113
 
6.0%
정 76
 
4.0%
영 69
 
3.7%
박 65
 
3.5%
성 39
 
2.1%
수 33
 
1.8%
경 32
 
1.7%
현 31
 
1.7%
종 29
 
1.5%
Other values (162) 1274
67.9%
Common
ValueCountFrequency (%)
15
62.5%
1 6
 
25.0%
, 3
 
12.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1877
98.7%
ASCII 24
 
1.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
이 116
 
6.2%
김 113
 
6.0%
정 76
 
4.0%
영 69
 
3.7%
박 65
 
3.5%
성 39
 
2.1%
수 33
 
1.8%
경 32
 
1.7%
현 31
 
1.7%
종 29
 
1.5%
Other values (162) 1274
67.9%
ASCII
ValueCountFrequency (%)
15
62.5%
1 6
 
25.0%
, 3
 
12.5%

소 재 지
Text

Distinct568
Distinct (%)91.3%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2024-03-15T05:10:21.555386image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length39
Median length34
Mean length23.081994
Min length18

Characters and Unicode

Total characters14357
Distinct characters171
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

Unique525 ?
Unique (%)84.4%

Sample

1st row충청남도 논산시 연무읍 죽본2길 16
2nd row충청남도 논산시 부적면 덕평길 72-9
3rd row충청남도 논산시 가야곡 덕은로 308
4th row충청남도 논산시 노성면 노성로 630-9
5th row충청남도 논산시 성동면 성동로 188-12
ValueCountFrequency (%)
충청남도 633
19.9%
논산시 633
19.9%
연산면 118
 
3.7%
연무읍 104
 
3.3%
부적면 72
 
2.3%
가야곡 50
 
1.6%
은진면 50
 
1.6%
성동면 48
 
1.5%
계백로 38
 
1.2%
광석면 36
 
1.1%
Other values (703) 1401
44.0%
2024-03-15T05:10:23.117596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2570
17.9%
산 880
 
6.1%
논 656
 
4.6%
충 641
 
4.5%
남 638
 
4.4%
청 638
 
4.4%
시 637
 
4.4%
도 633
 
4.4%
1 482
 
3.4%
로 449
 
3.1%
Other values (161) 6133
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8947
62.3%
Space Separator 2570
 
17.9%
Decimal Number 2516
 
17.5%
Dash Punctuation 282
 
2.0%
Open Punctuation 17
 
0.1%
Close Punctuation 17
 
0.1%
Other Punctuation 7
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 880
 
9.8%
논 656
 
7.3%
충 641
 
7.2%
남 638
 
7.1%
청 638
 
7.1%
시 637
 
7.1%
도 633
 
7.1%
로 449
 
5.0%
면 441
 
4.9%
길 314
 
3.5%
Other values (145) 3020
33.8%
Decimal Number
ValueCountFrequency (%)
1 482
19.2%
2 378
15.0%
3 308
12.2%
4 245
9.7%
5 236
9.4%
7 214
8.5%
0 177
 
7.0%
8 167
 
6.6%
9 160
 
6.4%
6 149
 
5.9%
Space Separator
ValueCountFrequency (%)
2570
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 282
100.0%
Open Punctuation
ValueCountFrequency (%)
( 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 17
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8947
62.3%
Common 5409
37.7%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 880
 
9.8%
논 656
 
7.3%
충 641
 
7.2%
남 638
 
7.1%
청 638
 
7.1%
시 637
 
7.1%
도 633
 
7.1%
로 449
 
5.0%
면 441
 
4.9%
길 314
 
3.5%
Other values (145) 3020
33.8%
Common
ValueCountFrequency (%)
2570
47.5%
1 482
 
8.9%
2 378
 
7.0%
3 308
 
5.7%
- 282
 
5.2%
4 245
 
4.5%
5 236
 
4.4%
7 214
 
4.0%
0 177
 
3.3%
8 167
 
3.1%
Other values (5) 350
 
6.5%
Latin
ValueCountFrequency (%)
B 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8947
62.3%
ASCII 5410
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2570
47.5%
1 482
 
8.9%
2 378
 
7.0%
3 308
 
5.7%
- 282
 
5.2%
4 245
 
4.5%
5 236
 
4.4%
7 214
 
4.0%
0 177
 
3.3%
8 167
 
3.1%
Other values (6) 351
 
6.5%
Hangul
ValueCountFrequency (%)
산 880
 
9.8%
논 656
 
7.3%
충 641
 
7.2%
남 638
 
7.1%
청 638
 
7.1%
시 637
 
7.1%
도 633
 
7.1%
로 449
 
5.0%
면 441
 
4.9%
길 314
 
3.5%
Other values (145) 3020
33.8%

주생산품
Text

Distinct546
Distinct (%)87.8%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2024-03-15T05:10:24.545037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length19
Mean length7.2363344
Min length1

Characters and Unicode

Total characters4501
Distinct characters459
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique501 ?
Unique (%)80.5%

Sample

1st row장류
2nd row천마차,생강차
3rd row국수
4th row육류가공
5th row메론짱아찌, 오이피클
ValueCountFrequency (%)
제조업 18
 
1.9%
알루미늄 13
 
1.3%
및 12
 
1.2%
쌀 12
 
1.2%
플라스틱 11
 
1.1%
등 10
 
1.0%
레미콘 8
 
0.8%
창호 8
 
0.8%
사료 8
 
0.8%
석제품 7
 
0.7%
Other values (677) 858
88.9%
2024-03-15T05:10:26.620389image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
346
 
7.7%
, 233
 
5.2%
제 109
 
2.4%
기 91
 
2.0%
용 76
 
1.7%
품 72
 
1.6%
조 66
 
1.5%
스 65
 
1.4%
가 65
 
1.4%
장 62
 
1.4%
Other values (449) 3316
73.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3776
83.9%
Space Separator 346
 
7.7%
Other Punctuation 234
 
5.2%
Uppercase Letter 83
 
1.8%
Close Punctuation 22
 
0.5%
Open Punctuation 22
 
0.5%
Decimal Number 10
 
0.2%
Lowercase Letter 7
 
0.2%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 109
 
2.9%
기 91
 
2.4%
용 76
 
2.0%
품 72
 
1.9%
조 66
 
1.7%
스 65
 
1.7%
가 65
 
1.7%
장 62
 
1.6%
리 57
 
1.5%
료 56
 
1.5%
Other values (414) 3057
81.0%
Uppercase Letter
ValueCountFrequency (%)
P 14
16.9%
C 12
14.5%
V 9
10.8%
E 7
8.4%
D 6
 
7.2%
L 5
 
6.0%
R 5
 
6.0%
F 4
 
4.8%
B 3
 
3.6%
T 3
 
3.6%
Other values (9) 15
18.1%
Lowercase Letter
ValueCountFrequency (%)
p 2
28.6%
i 1
14.3%
o 1
14.3%
c 1
14.3%
v 1
14.3%
e 1
14.3%
Decimal Number
ValueCountFrequency (%)
2 4
40.0%
1 3
30.0%
0 2
20.0%
6 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
, 233
99.6%
· 1
 
0.4%
Space Separator
ValueCountFrequency (%)
346
100.0%
Close Punctuation
ValueCountFrequency (%)
) 22
100.0%
Open Punctuation
ValueCountFrequency (%)
( 22
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3776
83.9%
Common 635
 
14.1%
Latin 90
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 109
 
2.9%
기 91
 
2.4%
용 76
 
2.0%
품 72
 
1.9%
조 66
 
1.7%
스 65
 
1.7%
가 65
 
1.7%
장 62
 
1.6%
리 57
 
1.5%
료 56
 
1.5%
Other values (414) 3057
81.0%
Latin
ValueCountFrequency (%)
P 14
15.6%
C 12
13.3%
V 9
10.0%
E 7
 
7.8%
D 6
 
6.7%
L 5
 
5.6%
R 5
 
5.6%
F 4
 
4.4%
B 3
 
3.3%
T 3
 
3.3%
Other values (15) 22
24.4%
Common
ValueCountFrequency (%)
346
54.5%
, 233
36.7%
) 22
 
3.5%
( 22
 
3.5%
2 4
 
0.6%
1 3
 
0.5%
0 2
 
0.3%
6 1
 
0.2%
· 1
 
0.2%
- 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3775
83.9%
ASCII 724
 
16.1%
None 1
 
< 0.1%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
346
47.8%
, 233
32.2%
) 22
 
3.0%
( 22
 
3.0%
P 14
 
1.9%
C 12
 
1.7%
V 9
 
1.2%
E 7
 
1.0%
D 6
 
0.8%
L 5
 
0.7%
Other values (24) 48
 
6.6%
Hangul
ValueCountFrequency (%)
제 109
 
2.9%
기 91
 
2.4%
용 76
 
2.0%
품 72
 
1.9%
조 66
 
1.7%
스 65
 
1.7%
가 65
 
1.7%
장 62
 
1.6%
리 57
 
1.5%
료 56
 
1.5%
Other values (413) 3056
81.0%
None
ValueCountFrequency (%)
· 1
100.0%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

Interactions

2024-03-15T05:10:12.217963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T05:10:26.913538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종코드
연번1.0000.958
업종코드0.9581.000
2024-03-15T05:10:27.160827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업종코드
연번1.0000.781
업종코드0.7811.000

Missing values

2024-03-15T05:10:12.636760image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T05:10:13.036156image/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

연번업종코드기업체명대표자소 재 지주생산품
01식료품CJ제일제당㈜ 논산공장신현재충청남도 논산시 연무읍 죽본2길 16장류
12식료품KY식품㈜박규상충청남도 논산시 부적면 덕평길 72-9천마차,생강차
23식료품가야곡식품강귀현충청남도 논산시 가야곡 덕은로 308국수
34식료품㈜가야촌김경수충청남도 논산시 노성면 노성로 630-9육류가공
45식료품가온길영농조합법인김창호충청남도 논산시 성동면 성동로 188-12메론짱아찌, 오이피클
56식료품가화식품박병옥충청남도 논산시 벌곡면 황룡재로 564청국장,콩국
67식료품강산식품양영화충청남도 논산시 가야곡 가야로22번길 9누룽지
78식료품건양홍삼㈜양윤정충청남도 논산시 부적면 계백로 1573홍삼농축액
89식료품광석미곡처리장이재남충청남도 논산시 광석면 천동길 18쌀
910식료품궁골식품영농조합법인최명선충청남도 논산시 상월면 대촌3길 23-10장류 제조
연번업종코드기업체명대표자소 재 지주생산품
612613기타제품연산우리국악만물정종삼충청남도 논산시 연산면 화악1길 2국악기케이스,채
613614기타제품월드전광김성철충청남도 논산시 연산면 계백로 2354-40LED전광판
614615기타제품중원산업김순옥충청남도 논산시 연산면 선비로 672-9이벤트용품(오색테이프)
615616기타제품(주)한성케미칼윤석훈충청남도 논산시 부적면 백일헌로 118-7화학물질
616617기타제품휴먼테크㈜김영상충청남도 논산시 상월면 상월면 82-38칫솔,치실,치간솔
617618기타제품히든한은주충청남도 논산시 채운면 채운로 377욕실장, 선반
618619산업용기계및장비수리업강경아라찬이정남충청남도 논산시 강경읍 잣디길 29-5새우젓 가공
619620산업용기계및장비수리업논산태양특장정비㈜최우식충청남도 논산시 은진면 매죽헌로 94-48자동차정비,검사
620621산업용기계및장비수리업열정테크김재환충청남도 논산시 은진면 시민로 27농기계
621622산업용기계및장비수리업황산벌농업회사법인 제2공장이영흠충청남도 논산시 부창동 강변로 111쌀도정