Overview

Dataset statistics

Number of variables7
Number of observations1341
Missing cells345
Missing cells (%)3.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory76.1 KiB
Average record size in memory58.1 B

Variable types

Numeric1
Text4
Categorical1
DateTime1

Dataset

Description김해시 환경오염물질 배출시설 현황-수질(업체명, 업종, 종수, 전화번호, 도로명주소 등)에 대한 데이터를 제공합니다.
Author경상남도 김해시
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15033436

Alerts

종수 is highly imbalanced (93.6%)Imbalance
전화번호 has 343 (25.6%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-11 00:32:54.167458
Analysis finished2023-12-11 00:32:55.169783
Duration1 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct1341
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean671
Minimum1
Maximum1341
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size11.9 KiB
2023-12-11T09:32:55.264554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile68
Q1336
median671
Q31006
95-th percentile1274
Maximum1341
Range1340
Interquartile range (IQR)670

Descriptive statistics

Standard deviation387.25767
Coefficient of variation (CV)0.57713512
Kurtosis-1.2
Mean671
Median Absolute Deviation (MAD)335
Skewness0
Sum899811
Variance149968.5
MonotonicityStrictly increasing
2023-12-11T09:32:55.458274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
902 1
 
0.1%
900 1
 
0.1%
899 1
 
0.1%
898 1
 
0.1%
897 1
 
0.1%
896 1
 
0.1%
895 1
 
0.1%
894 1
 
0.1%
893 1
 
0.1%
Other values (1331) 1331
99.3%
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 (%)
1341 1
0.1%
1340 1
0.1%
1339 1
0.1%
1338 1
0.1%
1337 1
0.1%
1336 1
0.1%
1335 1
0.1%
1334 1
0.1%
1333 1
0.1%
1332 1
0.1%

업체명
Text

Distinct1219
Distinct (%)90.9%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
2023-12-11T09:32:55.719408image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length20
Mean length6.3877703
Min length2

Characters and Unicode

Total characters8566
Distinct characters476
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

Unique1101 ?
Unique (%)82.1%

Sample

1st row㈜씨앤엠
2nd row아세아식품
3rd row㈜빙그레 김해공장
4th row의료법인 숭인의료재단 김해복음병원
5th row㈜제이케이유화
ValueCountFrequency (%)
주식회사 30
 
2.0%
2공장 10
 
0.7%
김해공장 10
 
0.7%
의료법인 5
 
0.3%
셀프세차장 4
 
0.3%
wash 4
 
0.3%
㈜보원산업 3
 
0.2%
김해지점 3
 
0.2%
㈜한성 3
 
0.2%
㈜경동냉열산업 3
 
0.2%
Other values (1268) 1424
95.0%
2023-12-11T09:32:56.148727image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 670
 
7.8%
이 202
 
2.4%
스 194
 
2.3%
업 174
 
2.0%
유 163
 
1.9%
161
 
1.9%
산 160
 
1.9%
장 151
 
1.8%
주 147
 
1.7%
성 141
 
1.6%
Other values (466) 6403
74.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7259
84.7%
Other Symbol 670
 
7.8%
Uppercase Letter 245
 
2.9%
Space Separator 161
 
1.9%
Decimal Number 73
 
0.9%
Open Punctuation 55
 
0.6%
Close Punctuation 55
 
0.6%
Other Punctuation 28
 
0.3%
Lowercase Letter 18
 
0.2%
Dash Punctuation 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 202
 
2.8%
스 194
 
2.7%
업 174
 
2.4%
유 163
 
2.2%
산 160
 
2.2%
장 151
 
2.1%
주 147
 
2.0%
성 141
 
1.9%
에 135
 
1.9%
공 130
 
1.8%
Other values (414) 5662
78.0%
Uppercase Letter
ValueCountFrequency (%)
S 26
 
10.6%
T 25
 
10.2%
E 19
 
7.8%
C 18
 
7.3%
A 17
 
6.9%
K 14
 
5.7%
I 13
 
5.3%
H 12
 
4.9%
L 11
 
4.5%
P 11
 
4.5%
Other values (13) 79
32.2%
Lowercase Letter
ValueCountFrequency (%)
c 4
22.2%
s 3
16.7%
o 2
11.1%
a 2
11.1%
y 1
 
5.6%
m 1
 
5.6%
g 1
 
5.6%
i 1
 
5.6%
z 1
 
5.6%
n 1
 
5.6%
Decimal Number
ValueCountFrequency (%)
2 35
47.9%
1 14
 
19.2%
4 9
 
12.3%
3 8
 
11.0%
7 3
 
4.1%
5 2
 
2.7%
8 1
 
1.4%
0 1
 
1.4%
Other Punctuation
ValueCountFrequency (%)
. 20
71.4%
& 5
 
17.9%
: 1
 
3.6%
, 1
 
3.6%
/ 1
 
3.6%
Other Symbol
ValueCountFrequency (%)
㈜ 670
100.0%
Space Separator
ValueCountFrequency (%)
161
100.0%
Open Punctuation
ValueCountFrequency (%)
( 55
100.0%
Close Punctuation
ValueCountFrequency (%)
) 55
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7929
92.6%
Common 374
 
4.4%
Latin 263
 
3.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 670
 
8.4%
이 202
 
2.5%
스 194
 
2.4%
업 174
 
2.2%
유 163
 
2.1%
산 160
 
2.0%
장 151
 
1.9%
주 147
 
1.9%
성 141
 
1.8%
에 135
 
1.7%
Other values (415) 5792
73.0%
Latin
ValueCountFrequency (%)
S 26
 
9.9%
T 25
 
9.5%
E 19
 
7.2%
C 18
 
6.8%
A 17
 
6.5%
K 14
 
5.3%
I 13
 
4.9%
H 12
 
4.6%
L 11
 
4.2%
P 11
 
4.2%
Other values (24) 97
36.9%
Common
ValueCountFrequency (%)
161
43.0%
( 55
 
14.7%
) 55
 
14.7%
2 35
 
9.4%
. 20
 
5.3%
1 14
 
3.7%
4 9
 
2.4%
3 8
 
2.1%
& 5
 
1.3%
7 3
 
0.8%
Other values (7) 9
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7259
84.7%
None 670
 
7.8%
ASCII 637
 
7.4%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 670
100.0%
Hangul
ValueCountFrequency (%)
이 202
 
2.8%
스 194
 
2.7%
업 174
 
2.4%
유 163
 
2.2%
산 160
 
2.2%
장 151
 
2.1%
주 147
 
2.0%
성 141
 
1.9%
에 135
 
1.9%
공 130
 
1.8%
Other values (414) 5662
78.0%
ASCII
ValueCountFrequency (%)
161
25.3%
( 55
 
8.6%
) 55
 
8.6%
2 35
 
5.5%
S 26
 
4.1%
T 25
 
3.9%
. 20
 
3.1%
E 19
 
3.0%
C 18
 
2.8%
A 17
 
2.7%
Other values (41) 206
32.3%

전화번호
Text

MISSING 

Distinct949
Distinct (%)95.1%
Missing343
Missing (%)25.6%
Memory size10.6 KiB
2023-12-11T09:32:56.409889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.01002
Min length8

Characters and Unicode

Total characters11986
Distinct characters15
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique908 ?
Unique (%)91.0%

Sample

1st row055-330-5023
2nd row055-323-9910
3rd row055-340-2200
4th row055-330-8888
5th row055-329-4445
ValueCountFrequency (%)
055-342-9850 5
 
0.5%
055-325-9972 3
 
0.3%
055-342-5270 3
 
0.3%
055-338-2277 3
 
0.3%
055-333-3311 3
 
0.3%
055-336-2925 3
 
0.3%
055-323-1262 2
 
0.2%
055-723-2616 2
 
0.2%
055-345-1941 2
 
0.2%
055-342-6475 2
 
0.2%
Other values (939) 970
97.2%
2023-12-11T09:32:56.810597image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 2506
20.9%
- 1995
16.6%
3 1758
14.7%
0 1641
13.7%
2 873
 
7.3%
4 719
 
6.0%
1 682
 
5.7%
6 522
 
4.4%
7 490
 
4.1%
8 431
 
3.6%
Other values (5) 369
 
3.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 9987
83.3%
Dash Punctuation 1995
 
16.6%
Other Letter 4
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 2506
25.1%
3 1758
17.6%
0 1641
16.4%
2 873
 
8.7%
4 719
 
7.2%
1 682
 
6.8%
6 522
 
5.2%
7 490
 
4.9%
8 431
 
4.3%
9 365
 
3.7%
Other Letter
ValueCountFrequency (%)
대 1
25.0%
표 1
25.0%
이 1
25.0%
사 1
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 1995
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 11982
> 99.9%
Hangul 4
 
< 0.1%

Most frequent character per script

Common
ValueCountFrequency (%)
5 2506
20.9%
- 1995
16.6%
3 1758
14.7%
0 1641
13.7%
2 873
 
7.3%
4 719
 
6.0%
1 682
 
5.7%
6 522
 
4.4%
7 490
 
4.1%
8 431
 
3.6%
Hangul
ValueCountFrequency (%)
대 1
25.0%
표 1
25.0%
이 1
25.0%
사 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 11982
> 99.9%
Hangul 4
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 2506
20.9%
- 1995
16.6%
3 1758
14.7%
0 1641
13.7%
2 873
 
7.3%
4 719
 
6.0%
1 682
 
5.7%
6 522
 
4.4%
7 490
 
4.1%
8 431
 
3.6%
Hangul
ValueCountFrequency (%)
대 1
25.0%
표 1
25.0%
이 1
25.0%
사 1
25.0%

도로명주소
Text

Distinct1227
Distinct (%)91.5%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
2023-12-11T09:32:57.068146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length36
Mean length23.61223
Min length14

Characters and Unicode

Total characters31664
Distinct characters140
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

Unique1122 ?
Unique (%)83.7%

Sample

1st row경상남도 김해시 김해대로2635번길 29
2nd row경상남도 김해시 생림면 장재로520번안길 8
3rd row경상남도 김해시 한림면 고모로 768
4th row경상남도 김해시 활천로 33
5th row경상남도 김해시 김해대로2579번길 36
ValueCountFrequency (%)
경상남도 1341
21.1%
김해시 1341
21.1%
주촌면 234
 
3.7%
한림면 191
 
3.0%
진영읍 149
 
2.3%
진례면 148
 
2.3%
생림면 106
 
1.7%
김해대로 77
 
1.2%
상동면 77
 
1.2%
서부로1499번길 54
 
0.9%
Other values (1191) 2631
41.4%
2023-12-11T09:32:57.428376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5464
17.3%
해 1573
 
5.0%
김 1572
 
5.0%
상 1456
 
4.6%
1 1424
 
4.5%
남 1342
 
4.2%
경 1341
 
4.2%
도 1341
 
4.2%
시 1341
 
4.2%
로 1299
 
4.1%
Other values (130) 13511
42.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 18463
58.3%
Decimal Number 6985
 
22.1%
Space Separator 5464
 
17.3%
Dash Punctuation 623
 
2.0%
Close Punctuation 43
 
0.1%
Open Punctuation 43
 
0.1%
Other Punctuation 30
 
0.1%
Uppercase Letter 11
 
< 0.1%
Other Symbol 1
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
해 1573
 
8.5%
김 1572
 
8.5%
상 1456
 
7.9%
남 1342
 
7.3%
경 1341
 
7.3%
도 1341
 
7.3%
시 1341
 
7.3%
로 1299
 
7.0%
길 776
 
4.2%
번 762
 
4.1%
Other values (108) 5660
30.7%
Decimal Number
ValueCountFrequency (%)
1 1424
20.4%
2 854
12.2%
3 804
11.5%
5 695
9.9%
4 686
9.8%
9 625
8.9%
6 598
8.6%
7 475
 
6.8%
0 436
 
6.2%
8 388
 
5.6%
Uppercase Letter
ValueCountFrequency (%)
B 7
63.6%
L 2
 
18.2%
A 1
 
9.1%
F 1
 
9.1%
Other Punctuation
ValueCountFrequency (%)
, 28
93.3%
: 2
 
6.7%
Space Separator
ValueCountFrequency (%)
5464
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 623
100.0%
Close Punctuation
ValueCountFrequency (%)
) 43
100.0%
Open Punctuation
ValueCountFrequency (%)
( 43
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 18464
58.3%
Common 13189
41.7%
Latin 11
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
해 1573
 
8.5%
김 1572
 
8.5%
상 1456
 
7.9%
남 1342
 
7.3%
경 1341
 
7.3%
도 1341
 
7.3%
시 1341
 
7.3%
로 1299
 
7.0%
길 776
 
4.2%
번 762
 
4.1%
Other values (109) 5661
30.7%
Common
ValueCountFrequency (%)
5464
41.4%
1 1424
 
10.8%
2 854
 
6.5%
3 804
 
6.1%
5 695
 
5.3%
4 686
 
5.2%
9 625
 
4.7%
- 623
 
4.7%
6 598
 
4.5%
7 475
 
3.6%
Other values (7) 941
 
7.1%
Latin
ValueCountFrequency (%)
B 7
63.6%
L 2
 
18.2%
A 1
 
9.1%
F 1
 
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 18463
58.3%
ASCII 13200
41.7%
None 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5464
41.4%
1 1424
 
10.8%
2 854
 
6.5%
3 804
 
6.1%
5 695
 
5.3%
4 686
 
5.2%
9 625
 
4.7%
- 623
 
4.7%
6 598
 
4.5%
7 475
 
3.6%
Other values (11) 952
 
7.2%
Hangul
ValueCountFrequency (%)
해 1573
 
8.5%
김 1572
 
8.5%
상 1456
 
7.9%
남 1342
 
7.3%
경 1341
 
7.3%
도 1341
 
7.3%
시 1341
 
7.3%
로 1299
 
7.0%
길 776
 
4.2%
번 762
 
4.1%
Other values (108) 5660
30.7%
None
ValueCountFrequency (%)
㈜ 1
100.0%

업종
Text

Distinct557
Distinct (%)41.6%
Missing1
Missing (%)0.1%
Memory size10.6 KiB
2023-12-11T09:32:57.636339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length37
Mean length11.26791
Min length2

Characters and Unicode

Total characters15099
Distinct characters281
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique370 ?
Unique (%)27.6%

Sample

1st row전동기및발전기제조업
2nd row식품제조
3rd row낙농제품및아이스크림제조
4th row종합병원
5th row윤활유및그리스제조업
ValueCountFrequency (%)
및 79
 
4.3%
외 72
 
3.9%
자동차세차업 67
 
3.7%
주유소운영업 48
 
2.6%
지정외폐기물처리업 39
 
2.1%
세차시설 32
 
1.8%
제조업 32
 
1.8%
도장및기타피막처리업 29
 
1.6%
기타인쇄업 27
 
1.5%
1 27
 
1.5%
Other values (633) 1375
75.3%
2023-12-11T09:32:58.074237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 1202
 
8.0%
제 895
 
5.9%
조 755
 
5.0%
기 567
 
3.8%
492
 
3.3%
품 400
 
2.6%
차 384
 
2.5%
및 376
 
2.5%
2 327
 
2.2%
타 306
 
2.0%
Other values (271) 9395
62.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 12893
85.4%
Decimal Number 1155
 
7.6%
Space Separator 492
 
3.3%
Open Punctuation 210
 
1.4%
Close Punctuation 209
 
1.4%
Other Punctuation 140
 
0.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 1202
 
9.3%
제 895
 
6.9%
조 755
 
5.9%
기 567
 
4.4%
품 400
 
3.1%
차 384
 
3.0%
및 376
 
2.9%
타 306
 
2.4%
외 272
 
2.1%
리 267
 
2.1%
Other values (257) 7469
57.9%
Decimal Number
ValueCountFrequency (%)
2 327
28.3%
1 238
20.6%
3 180
15.6%
9 173
15.0%
0 74
 
6.4%
5 63
 
5.5%
4 43
 
3.7%
8 28
 
2.4%
7 20
 
1.7%
6 9
 
0.8%
Space Separator
ValueCountFrequency (%)
492
100.0%
Open Punctuation
ValueCountFrequency (%)
( 210
100.0%
Close Punctuation
ValueCountFrequency (%)
) 209
100.0%
Other Punctuation
ValueCountFrequency (%)
, 140
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 12893
85.4%
Common 2206
 
14.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 1202
 
9.3%
제 895
 
6.9%
조 755
 
5.9%
기 567
 
4.4%
품 400
 
3.1%
차 384
 
3.0%
및 376
 
2.9%
타 306
 
2.4%
외 272
 
2.1%
리 267
 
2.1%
Other values (257) 7469
57.9%
Common
ValueCountFrequency (%)
492
22.3%
2 327
14.8%
1 238
10.8%
( 210
9.5%
) 209
9.5%
3 180
 
8.2%
9 173
 
7.8%
, 140
 
6.3%
0 74
 
3.4%
5 63
 
2.9%
Other values (4) 100
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 12893
85.4%
ASCII 2206
 
14.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 1202
 
9.3%
제 895
 
6.9%
조 755
 
5.9%
기 567
 
4.4%
품 400
 
3.1%
차 384
 
3.0%
및 376
 
2.9%
타 306
 
2.4%
외 272
 
2.1%
리 267
 
2.1%
Other values (257) 7469
57.9%
ASCII
ValueCountFrequency (%)
492
22.3%
2 327
14.8%
1 238
10.8%
( 210
9.5%
) 209
9.5%
3 180
 
8.2%
9 173
 
7.8%
, 140
 
6.3%
0 74
 
3.4%
5 63
 
2.9%
Other values (4) 100
 
4.5%

종수
Categorical

IMBALANCE 

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size10.6 KiB
5
1318 
4
 
16
2
 
3
1
 
3
3
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row5
2nd row5
3rd row2
4th row5
5th row5

Common Values

ValueCountFrequency (%)
5 1318
98.3%
4 16
 
1.2%
2 3
 
0.2%
1 3
 
0.2%
3 1
 
0.1%

Length

2023-12-11T09:32:58.222905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T09:32:58.350178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 1318
98.3%
4 16
 
1.2%
2 3
 
0.2%
1 3
 
0.2%
3 1
 
0.1%

신고일자
Date

Distinct1067
Distinct (%)79.6%
Missing1
Missing (%)0.1%
Memory size10.6 KiB
Minimum1979-08-10 00:00:00
Maximum2022-08-18 00:00:00
2023-12-11T09:32:58.483681image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T09:32:58.642841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-11T09:32:54.761695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T09:32:58.749870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번종수
순번1.0000.156
종수0.1561.000
2023-12-11T09:32:58.845060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번종수
순번1.0000.065
종수0.0651.000

Missing values

2023-12-11T09:32:54.893170image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T09:32:55.023863image/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.
2023-12-11T09:32:55.119886image/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

순번업체명전화번호도로명주소업종종수신고일자
01㈜씨앤엠055-330-5023경상남도 김해시 김해대로2635번길 29전동기및발전기제조업51979-08-10
12아세아식품055-323-9910경상남도 김해시 생림면 장재로520번안길 8식품제조51980-07-10
23㈜빙그레 김해공장055-340-2200경상남도 김해시 한림면 고모로 768낙농제품및아이스크림제조21981-06-13
34의료법인 숭인의료재단 김해복음병원055-330-8888경상남도 김해시 활천로 33종합병원51982-07-07
45㈜제이케이유화055-329-4445경상남도 김해시 김해대로2579번길 36윤활유및그리스제조업51984-04-10
56한성기업㈜김해공장055-333-4676경상남도 김해시 삼안로 51음식료품제조시설31984-06-22
67인제대학교055-320-3027경상남도 김해시 인제로 197대학교51985-01-12
78삼영화학공업㈜김해공장055-342-3031경상남도 김해시 진영읍 하계로138번길 51-62플라스틱필름,시트및판제조업51986-08-01
89동헌산업㈜김해지점055-336-2925경상남도 김해시 김해대로 2651시멘트,석회,플라스터및그제품제조51987-11-03
910현대세차장055-324-2651경상남도 김해시 가락로30번길 14운수시설및장비수선51987-11-27
순번업체명전화번호도로명주소업종종수신고일자
13311332티엠시정공㈜<NA>경상남도 김해시 삼안로 71그외자동차용신품부품제조업52021-07-26
13321333주식회사 이디아이글로벌<NA>경상남도 김해시 진례면 고모로 142기타건축용플라스틱조립제품제조업52021-07-26
13331334장인자동차정비<NA>경상남도 김해시 관동동 582-2자동차세차업52021-07-29
13341335부엉이24시 셀프세차장<NA>경상남도 김해시 분성로 745자동차세차업52021-08-04
13351336사파이부분정비<NA>경상남도 김해시 인제로 121자동차세차업52021-07-30
13361337두성창호<NA>경상남도 김해시 김해대로 1706-15그 외 기타 유리제품제조업52021-08-06
13371338아람푸드<NA>경상남도 김해시 진례면 고모로442번길 26-44기타식사용가공처리조리식품제조업52021-08-10
13381339㈜상마<NA>경상남도 김해시 주촌면 골든루트로129번길 160그 외 자동차용 신품부품제조업52021-08-30
13391340대경기업㈜2공장<NA>경상남도 김해시 진례면 테크노밸리1로93번길 54탭,밸브및유사장치제조업52021-08-25
13401341㈜예림도장기<NA>경상남도 김해시 생림대로27번길 7동력식 수지공구 제조업52021-08-26