Overview

Dataset statistics

Number of variables7
Number of observations128
Missing cells14
Missing cells (%)1.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.3 KiB
Average record size in memory58.0 B

Variable types

Numeric1
Text5
DateTime1

Dataset

Description경상남도 의령군 관내 제조업공장에 대한 데이터로 회사명, 업종명, 생산품,주소, 전화번호 정보를 제공합니다. 전화번호가 빈 공란인 곳은
Author경상남도 의령군
URLhttps://bigdata.gyeongnam.go.kr/index.gn?menuCd=DOM_000000114002001000&publicdatapk=15035011

Alerts

데이터 기준일 has constant value ""Constant
전화번호 has 13 (10.2%) missing valuesMissing
연번 has unique valuesUnique
회사명 has unique valuesUnique

Reproduction

Analysis started2024-03-23 07:16:09.781954
Analysis finished2024-03-23 07:16:13.197722
Duration3.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct128
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean64.5
Minimum1
Maximum128
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2024-03-23T07:16:13.546774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.35
Q132.75
median64.5
Q396.25
95-th percentile121.65
Maximum128
Range127
Interquartile range (IQR)63.5

Descriptive statistics

Standard deviation37.094474
Coefficient of variation (CV)0.57510812
Kurtosis-1.2
Mean64.5
Median Absolute Deviation (MAD)32
Skewness0
Sum8256
Variance1376
MonotonicityStrictly increasing
2024-03-23T07:16:14.491406image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
66 1
 
0.8%
96 1
 
0.8%
95 1
 
0.8%
94 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
91 1
 
0.8%
90 1
 
0.8%
89 1
 
0.8%
Other values (118) 118
92.2%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
128 1
0.8%
127 1
0.8%
126 1
0.8%
125 1
0.8%
124 1
0.8%
123 1
0.8%
122 1
0.8%
121 1
0.8%
120 1
0.8%
119 1
0.8%

회사명
Text

UNIQUE 

Distinct128
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-23T07:16:15.182538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length13.5
Mean length6.5859375
Min length3

Characters and Unicode

Total characters843
Distinct characters206
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique128 ?
Unique (%)100.0%

Sample

1st row대익이엔지㈜
2nd row㈜한화미 의령공장
3rd row㈜코스글로벌
4th row㈜쎄니트
5th row태림페이퍼㈜의령공장
ValueCountFrequency (%)
농업회사법인 4
 
2.8%
의령공장 2
 
1.4%
대익이엔지㈜ 1
 
0.7%
㈜홍인 1
 
0.7%
동영목재 1
 
0.7%
농업회사법인(주)의령조청한과 1
 
0.7%
의령토속식품 1
 
0.7%
화정퇴비 1
 
0.7%
우성비료 1
 
0.7%
경남휀스철망공업사 1
 
0.7%
Other values (128) 128
90.1%
2024-03-23T07:16:16.325733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 59
 
7.0%
이 30
 
3.6%
스 21
 
2.5%
의 20
 
2.4%
업 20
 
2.4%
주 20
 
2.4%
령 19
 
2.3%
지 18
 
2.1%
사 18
 
2.1%
산 16
 
1.9%
Other values (196) 602
71.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 733
87.0%
Other Symbol 59
 
7.0%
Close Punctuation 15
 
1.8%
Space Separator 15
 
1.8%
Open Punctuation 15
 
1.8%
Decimal Number 5
 
0.6%
Connector Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
이 30
 
4.1%
스 21
 
2.9%
의 20
 
2.7%
업 20
 
2.7%
주 20
 
2.7%
령 19
 
2.6%
지 18
 
2.5%
사 18
 
2.5%
산 16
 
2.2%
공 14
 
1.9%
Other values (190) 537
73.3%
Other Symbol
ValueCountFrequency (%)
㈜ 59
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%
Space Separator
ValueCountFrequency (%)
15
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Decimal Number
ValueCountFrequency (%)
2 5
100.0%
Connector Punctuation
ValueCountFrequency (%)
_ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 792
94.0%
Common 51
 
6.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 59
 
7.4%
이 30
 
3.8%
스 21
 
2.7%
의 20
 
2.5%
업 20
 
2.5%
주 20
 
2.5%
령 19
 
2.4%
지 18
 
2.3%
사 18
 
2.3%
산 16
 
2.0%
Other values (191) 551
69.6%
Common
ValueCountFrequency (%)
) 15
29.4%
15
29.4%
( 15
29.4%
2 5
 
9.8%
_ 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 733
87.0%
None 59
 
7.0%
ASCII 51
 
6.0%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 59
100.0%
Hangul
ValueCountFrequency (%)
이 30
 
4.1%
스 21
 
2.9%
의 20
 
2.7%
업 20
 
2.7%
주 20
 
2.7%
령 19
 
2.6%
지 18
 
2.5%
사 18
 
2.5%
산 16
 
2.2%
공 14
 
1.9%
Other values (190) 537
73.3%
ASCII
ValueCountFrequency (%)
) 15
29.4%
15
29.4%
( 15
29.4%
2 5
 
9.8%
_ 1
 
2.0%

업종명
Text

Distinct107
Distinct (%)83.6%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-23T07:16:17.138258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length24
Mean length15.5
Min length5

Characters and Unicode

Total characters1984
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

Unique93 ?
Unique (%)72.7%

Sample

1st row육상 금속 골조 구조재 제조업 외 1 종
2nd row그 외 자동차용 신품 부품 제조업 외 6 종
3rd row철강선 제조업
4th row냉간 압연 및 압출 제품 제조업 외 1 종
5th row기타 종이 및 판지 제조업 외 2 종
ValueCountFrequency (%)
제조업 95
 
16.0%
및 49
 
8.2%
외 46
 
7.7%
종 32
 
5.4%
기타 30
 
5.0%
1 17
 
2.9%
콘크리트 11
 
1.8%
금속 9
 
1.5%
제품 7
 
1.2%
그 7
 
1.2%
Other values (174) 292
49.1%
2024-03-23T07:16:19.465990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
468
23.6%
조 140
 
7.1%
제 139
 
7.0%
업 127
 
6.4%
기 62
 
3.1%
및 52
 
2.6%
외 49
 
2.5%
종 45
 
2.3%
타 38
 
1.9%
품 38
 
1.9%
Other values (165) 826
41.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1463
73.7%
Space Separator 468
 
23.6%
Decimal Number 41
 
2.1%
Other Punctuation 12
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
조 140
 
9.6%
제 139
 
9.5%
업 127
 
8.7%
기 62
 
4.2%
및 52
 
3.6%
외 49
 
3.3%
종 45
 
3.1%
타 38
 
2.6%
품 38
 
2.6%
금 29
 
2.0%
Other values (155) 744
50.9%
Decimal Number
ValueCountFrequency (%)
1 24
58.5%
3 7
 
17.1%
2 4
 
9.8%
5 2
 
4.9%
6 1
 
2.4%
0 1
 
2.4%
8 1
 
2.4%
4 1
 
2.4%
Space Separator
ValueCountFrequency (%)
468
100.0%
Other Punctuation
ValueCountFrequency (%)
, 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1463
73.7%
Common 521
 
26.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
조 140
 
9.6%
제 139
 
9.5%
업 127
 
8.7%
기 62
 
4.2%
및 52
 
3.6%
외 49
 
3.3%
종 45
 
3.1%
타 38
 
2.6%
품 38
 
2.6%
금 29
 
2.0%
Other values (155) 744
50.9%
Common
ValueCountFrequency (%)
468
89.8%
1 24
 
4.6%
, 12
 
2.3%
3 7
 
1.3%
2 4
 
0.8%
5 2
 
0.4%
6 1
 
0.2%
0 1
 
0.2%
8 1
 
0.2%
4 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1463
73.7%
ASCII 521
 
26.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
468
89.8%
1 24
 
4.6%
, 12
 
2.3%
3 7
 
1.3%
2 4
 
0.8%
5 2
 
0.4%
6 1
 
0.2%
0 1
 
0.2%
8 1
 
0.2%
4 1
 
0.2%
Hangul
ValueCountFrequency (%)
조 140
 
9.6%
제 139
 
9.5%
업 127
 
8.7%
기 62
 
4.2%
및 52
 
3.6%
외 49
 
3.3%
종 45
 
3.1%
타 38
 
2.6%
품 38
 
2.6%
금 29
 
2.0%
Other values (155) 744
50.9%

생산품
Text

Distinct120
Distinct (%)94.5%
Missing1
Missing (%)0.8%
Memory size1.1 KiB
2024-03-23T07:16:20.405690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length20
Mean length8.0944882
Min length1

Characters and Unicode

Total characters1028
Distinct characters245
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

Unique114 ?
Unique (%)89.8%

Sample

1st row철구조물
2nd row자동차계기판, 전자부품인쇄, 차량DECAL
3rd row스텐레스와이어
4th row스테인레스박판
5th row제지
ValueCountFrequency (%)
철구조물 5
 
2.4%
등 5
 
2.4%
및 4
 
1.9%
로프 3
 
1.4%
펌프케이싱 3
 
1.4%
건축자재 2
 
1.0%
부품 2
 
1.0%
보조사료 2
 
1.0%
비료 2
 
1.0%
열교환기 2
 
1.0%
Other values (159) 177
85.5%
2024-03-23T07:16:21.794910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
80
 
7.8%
, 60
 
5.8%
기 33
 
3.2%
조 24
 
2.3%
자 19
 
1.8%
품 18
 
1.8%
스 17
 
1.7%
철 17
 
1.7%
부 16
 
1.6%
지 15
 
1.5%
Other values (235) 729
70.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 838
81.5%
Space Separator 80
 
7.8%
Other Punctuation 62
 
6.0%
Uppercase Letter 33
 
3.2%
Lowercase Letter 5
 
0.5%
Close Punctuation 4
 
0.4%
Open Punctuation 4
 
0.4%
Decimal Number 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 33
 
3.9%
조 24
 
2.9%
자 19
 
2.3%
품 18
 
2.1%
스 17
 
2.0%
철 17
 
2.0%
부 16
 
1.9%
지 15
 
1.8%
차 15
 
1.8%
료 14
 
1.7%
Other values (213) 650
77.6%
Uppercase Letter
ValueCountFrequency (%)
E 5
15.2%
A 5
15.2%
L 4
12.1%
R 3
9.1%
C 3
9.1%
D 3
9.1%
B 2
 
6.1%
P 2
 
6.1%
T 2
 
6.1%
Y 2
 
6.1%
Other values (2) 2
 
6.1%
Lowercase Letter
ValueCountFrequency (%)
p 3
60.0%
t 1
 
20.0%
e 1
 
20.0%
Other Punctuation
ValueCountFrequency (%)
, 60
96.8%
/ 2
 
3.2%
Decimal Number
ValueCountFrequency (%)
3 1
50.0%
8 1
50.0%
Space Separator
ValueCountFrequency (%)
80
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 838
81.5%
Common 152
 
14.8%
Latin 38
 
3.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 33
 
3.9%
조 24
 
2.9%
자 19
 
2.3%
품 18
 
2.1%
스 17
 
2.0%
철 17
 
2.0%
부 16
 
1.9%
지 15
 
1.8%
차 15
 
1.8%
료 14
 
1.7%
Other values (213) 650
77.6%
Latin
ValueCountFrequency (%)
E 5
13.2%
A 5
13.2%
L 4
10.5%
R 3
7.9%
C 3
7.9%
p 3
7.9%
D 3
7.9%
B 2
 
5.3%
P 2
 
5.3%
T 2
 
5.3%
Other values (5) 6
15.8%
Common
ValueCountFrequency (%)
80
52.6%
, 60
39.5%
) 4
 
2.6%
( 4
 
2.6%
/ 2
 
1.3%
3 1
 
0.7%
8 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 838
81.5%
ASCII 190
 
18.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
80
42.1%
, 60
31.6%
E 5
 
2.6%
A 5
 
2.6%
) 4
 
2.1%
( 4
 
2.1%
L 4
 
2.1%
R 3
 
1.6%
C 3
 
1.6%
p 3
 
1.6%
Other values (12) 19
 
10.0%
Hangul
ValueCountFrequency (%)
기 33
 
3.9%
조 24
 
2.9%
자 19
 
2.3%
품 18
 
2.1%
스 17
 
2.0%
철 17
 
2.0%
부 16
 
1.9%
지 15
 
1.8%
차 15
 
1.8%
료 14
 
1.7%
Other values (213) 650
77.6%

주소
Text

Distinct113
Distinct (%)88.3%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
2024-03-23T07:16:22.688584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length21.1875
Min length18

Characters and Unicode

Total characters2712
Distinct characters78
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

Unique102 ?
Unique (%)79.7%

Sample

1st row경상남도 의령군 의령읍 구룡로 242
2nd row경상남도 의령군 의령읍 구룡로4남길 15
3rd row경상남도 의령군 의령읍 구룡로4남길 25
4th row경상남도 의령군 의령읍 구룡로4남길 53
5th row경상남도 의령군 의령읍 구룡로1길 39
ValueCountFrequency (%)
경상남도 128
20.0%
의령군 128
20.0%
의령읍 42
 
6.6%
봉수면 31
 
4.8%
한지18길 19
 
3.0%
부림면 15
 
2.3%
구룡로 12
 
1.9%
직금로 9
 
1.4%
구룡로4남길 9
 
1.4%
구룡로1길 9
 
1.4%
Other values (153) 239
37.3%
2024-03-23T07:16:24.140421image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
524
19.3%
의 190
 
7.0%
령 171
 
6.3%
남 143
 
5.3%
상 130
 
4.8%
경 128
 
4.7%
도 128
 
4.7%
군 128
 
4.7%
1 93
 
3.4%
로 90
 
3.3%
Other values (68) 987
36.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1727
63.7%
Space Separator 524
 
19.3%
Decimal Number 430
 
15.9%
Dash Punctuation 31
 
1.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
의 190
11.0%
령 171
 
9.9%
남 143
 
8.3%
상 130
 
7.5%
경 128
 
7.4%
도 128
 
7.4%
군 128
 
7.4%
로 90
 
5.2%
면 86
 
5.0%
길 65
 
3.8%
Other values (56) 468
27.1%
Decimal Number
ValueCountFrequency (%)
1 93
21.6%
2 61
14.2%
4 43
10.0%
8 43
10.0%
3 37
 
8.6%
6 37
 
8.6%
9 31
 
7.2%
5 31
 
7.2%
7 28
 
6.5%
0 26
 
6.0%
Space Separator
ValueCountFrequency (%)
524
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1727
63.7%
Common 985
36.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
의 190
11.0%
령 171
 
9.9%
남 143
 
8.3%
상 130
 
7.5%
경 128
 
7.4%
도 128
 
7.4%
군 128
 
7.4%
로 90
 
5.2%
면 86
 
5.0%
길 65
 
3.8%
Other values (56) 468
27.1%
Common
ValueCountFrequency (%)
524
53.2%
1 93
 
9.4%
2 61
 
6.2%
4 43
 
4.4%
8 43
 
4.4%
3 37
 
3.8%
6 37
 
3.8%
- 31
 
3.1%
9 31
 
3.1%
5 31
 
3.1%
Other values (2) 54
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1727
63.7%
ASCII 985
36.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
524
53.2%
1 93
 
9.4%
2 61
 
6.2%
4 43
 
4.4%
8 43
 
4.4%
3 37
 
3.8%
6 37
 
3.8%
- 31
 
3.1%
9 31
 
3.1%
5 31
 
3.1%
Other values (2) 54
 
5.5%
Hangul
ValueCountFrequency (%)
의 190
11.0%
령 171
 
9.9%
남 143
 
8.3%
상 130
 
7.5%
경 128
 
7.4%
도 128
 
7.4%
군 128
 
7.4%
로 90
 
5.2%
면 86
 
5.0%
길 65
 
3.8%
Other values (56) 468
27.1%

전화번호
Text

MISSING 

Distinct108
Distinct (%)93.9%
Missing13
Missing (%)10.2%
Memory size1.1 KiB
2024-03-23T07:16:24.977803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.052174
Min length12

Characters and Unicode

Total characters1386
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

Unique103 ?
Unique (%)89.6%

Sample

1st row055-572-1600
2nd row055-573-9991
3rd row055-573-0396
4th row055-573-8221
5th row055-572-3020
ValueCountFrequency (%)
055-572-2424 3
 
2.6%
055-573-1534 3
 
2.6%
055-716-1239 2
 
1.7%
055-573-0991 2
 
1.7%
055-574-4562 2
 
1.7%
055-574-7557 1
 
0.9%
055-573-6565 1
 
0.9%
055-572-3718 1
 
0.9%
055-573-8059 1
 
0.9%
055-572-1600 1
 
0.9%
Other values (98) 98
85.2%
2024-03-23T07:16:26.174667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 362
26.1%
- 230
16.6%
0 212
15.3%
7 157
11.3%
4 85
 
6.1%
2 77
 
5.6%
3 73
 
5.3%
1 59
 
4.3%
9 47
 
3.4%
6 42
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1156
83.4%
Dash Punctuation 230
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 362
31.3%
0 212
18.3%
7 157
13.6%
4 85
 
7.4%
2 77
 
6.7%
3 73
 
6.3%
1 59
 
5.1%
9 47
 
4.1%
6 42
 
3.6%
8 42
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 230
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1386
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 362
26.1%
- 230
16.6%
0 212
15.3%
7 157
11.3%
4 85
 
6.1%
2 77
 
5.6%
3 73
 
5.3%
1 59
 
4.3%
9 47
 
3.4%
6 42
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1386
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 362
26.1%
- 230
16.6%
0 212
15.3%
7 157
11.3%
4 85
 
6.1%
2 77
 
5.6%
3 73
 
5.3%
1 59
 
4.3%
9 47
 
3.4%
6 42
 
3.0%

데이터 기준일
Date

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.1 KiB
Minimum2023-03-12 00:00:00
Maximum2023-03-12 00:00:00
2024-03-23T07:16:26.810061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T07:16:27.337920image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-23T07:16:11.491211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2024-03-23T07:16:11.989648image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T07:16:12.508929image/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.
2024-03-23T07:16:12.985497image/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

연번회사명업종명생산품주소전화번호데이터 기준일
01대익이엔지㈜육상 금속 골조 구조재 제조업 외 1 종철구조물경상남도 의령군 의령읍 구룡로 242055-572-16002023-03-12
12㈜한화미 의령공장그 외 자동차용 신품 부품 제조업 외 6 종자동차계기판, 전자부품인쇄, 차량DECAL경상남도 의령군 의령읍 구룡로4남길 15055-573-99912023-03-12
23㈜코스글로벌철강선 제조업스텐레스와이어경상남도 의령군 의령읍 구룡로4남길 25055-573-03962023-03-12
34㈜쎄니트냉간 압연 및 압출 제품 제조업 외 1 종스테인레스박판경상남도 의령군 의령읍 구룡로4남길 53055-573-82212023-03-12
45태림페이퍼㈜의령공장기타 종이 및 판지 제조업 외 2 종제지경상남도 의령군 의령읍 구룡로1길 39055-572-30202023-03-12
56경남제약㈜의령공장생물학적 제제 제조업 외 1 종의약품 원료경상남도 의령군 의령읍 구룡로4남길 79055-572-87002023-03-12
67부산사료㈜배합 사료 제조업 외 1 종곡분사료경상남도 의령군 의령읍 구룡로4남길 65055-573-09912023-03-12
78제이비 플러스배합 사료 제조업 외 1 종곡분사료경상남도 의령군 의령읍 구룡로4길 94055-573-09912023-03-12
89㈜거양금속자동차용 신품 동력전달장치 제조업 외 3 종자동차부품경상남도 의령군 의령읍 구룡로4남길 14-3055-573-02742023-03-12
910㈜세한이엔지절삭가공 및 유사처리업철판경상남도 의령군 의령읍 구룡로4남길 52055-574-45622023-03-12
연번회사명업종명생산품주소전화번호데이터 기준일
118119성원테크전기회로 개폐, 보호장치 제조업전기 차단기경상남도 의령군 지정면 함의로 7길 8055-574-93372023-03-12
119120호암정밀금속 절삭기계 제조업차단기 및 부속품경상남도 의령군 지정면 함의로 7길 8<NA>2023-03-12
120121농업회사법인 ㈜논두렁기타 곡물 가공품 제조업누룽지, 떡국떡경상남도 의령군 화정면 상정리 311-1055-573-57782023-03-12
121122㈜부전산업금속 표시판 제조업교통표지판경상남도 의령군 부림면 막곡리 18-8055-572-67882023-03-12
122123신창산업끈 및 로프 제조업 외 1종어망, 로프 등경상남도 의령군 봉수면 대한로 1162-3055-573-99902023-03-12
123124의령착한농장천연 및 혼합조제 조미료 제조업천연조미료, 건조가공품경상남도 의령군 유곡면 청정로 2375-22<NA>2023-03-12
124125삼영탄소산업제2공장그 외 기타 분류 안된 비금송 광물제품 제조업전극봉, 전극설경상남도 의령군 화정면 진의로 1673-7055-574-88332023-03-12
125126이든애일반용 전기 조명장치 제조업LED 조명기구경상남도 의령군 칠곡면 산남길 66055-573-14782023-03-12
126127커스텀비기타 비알코올 음료 제조업수소수(혼합음료)경상남도 의령군 부림면 오소길 53070-7456-34752023-03-12
127128모시골푸드기타 곡물가공품 제조업누룽지, 떡국떡경상남도 의령군 화정면 화정로5길 66<NA>2023-03-12