Overview

Dataset statistics

Number of variables8
Number of observations103
Missing cells15
Missing cells (%)1.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.7 KiB
Average record size in memory66.3 B

Variable types

Numeric1
Text5
DateTime2

Dataset

Description전라북도 임실군의 건설업현황 데이터 입니다. 데이터 세부내역에는 순번, 상호명, 설립일자, 업종, 등록번호, 등록일자, 영업소재지, 전화번호를 포함하여 데이터를 제공하고 있습니다.
Author전라북도 임실군
URLhttps://www.data.go.kr/data/15055552/fileData.do

Alerts

영업소재지(도로명) has 11 (10.7%) missing valuesMissing
전화번호 has 4 (3.9%) missing valuesMissing
순번 has unique valuesUnique
상호명 has unique valuesUnique
등록번호 has unique valuesUnique

Reproduction

Analysis started2023-12-12 23:50:37.794618
Analysis finished2023-12-12 23:50:39.455150
Duration1.66 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct103
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52
Minimum1
Maximum103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2023-12-13T08:50:39.551235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.1
Q126.5
median52
Q377.5
95-th percentile97.9
Maximum103
Range102
Interquartile range (IQR)51

Descriptive statistics

Standard deviation29.877528
Coefficient of variation (CV)0.57456784
Kurtosis-1.2
Mean52
Median Absolute Deviation (MAD)26
Skewness0
Sum5356
Variance892.66667
MonotonicityStrictly increasing
2023-12-13T08:50:39.774855image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
2 1
 
1.0%
77 1
 
1.0%
76 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
Other values (93) 93
90.3%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
103 1
1.0%
102 1
1.0%
101 1
1.0%
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%

상호명
Text

UNIQUE 

Distinct103
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size956.0 B
2023-12-13T08:50:40.104981image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length11
Median length7
Mean length6.8932039
Min length2

Characters and Unicode

Total characters710
Distinct characters123
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

Unique103 ?
Unique (%)100.0%

Sample

1st row(유)가람건설
2nd row(유)가원
3rd row(유)강산조경
4th row(유)거목건설
5th row(유)거산산업
ValueCountFrequency (%)
유)가람건설 1
 
1.0%
주)지성지오텍 1
 
1.0%
주)옥토 1
 
1.0%
주)옥정 1
 
1.0%
주)예당 1
 
1.0%
주)영웅 1
 
1.0%
주)씨디코리아 1
 
1.0%
주)신천개발 1
 
1.0%
주)사운 1
 
1.0%
주)동광 1
 
1.0%
Other values (93) 93
90.3%
2023-12-13T08:50:40.555277image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 89
 
12.5%
( 88
 
12.4%
건 68
 
9.6%
유 67
 
9.4%
설 62
 
8.7%
주 26
 
3.7%
대 13
 
1.8%
산 12
 
1.7%
일 10
 
1.4%
토 9
 
1.3%
Other values (113) 266
37.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 533
75.1%
Close Punctuation 89
 
12.5%
Open Punctuation 88
 
12.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
건 68
 
12.8%
유 67
 
12.6%
설 62
 
11.6%
주 26
 
4.9%
대 13
 
2.4%
산 12
 
2.3%
일 10
 
1.9%
토 9
 
1.7%
발 8
 
1.5%
개 8
 
1.5%
Other values (111) 250
46.9%
Close Punctuation
ValueCountFrequency (%)
) 89
100.0%
Open Punctuation
ValueCountFrequency (%)
( 88
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 533
75.1%
Common 177
 
24.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
건 68
 
12.8%
유 67
 
12.6%
설 62
 
11.6%
주 26
 
4.9%
대 13
 
2.4%
산 12
 
2.3%
일 10
 
1.9%
토 9
 
1.7%
발 8
 
1.5%
개 8
 
1.5%
Other values (111) 250
46.9%
Common
ValueCountFrequency (%)
) 89
50.3%
( 88
49.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 533
75.1%
ASCII 177
 
24.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 89
50.3%
( 88
49.7%
Hangul
ValueCountFrequency (%)
건 68
 
12.8%
유 67
 
12.6%
설 62
 
11.6%
주 26
 
4.9%
대 13
 
2.4%
산 12
 
2.3%
일 10
 
1.9%
토 9
 
1.7%
발 8
 
1.5%
개 8
 
1.5%
Other values (111) 250
46.9%

설립일자
Date

Distinct97
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size956.0 B
Minimum1989-11-22 00:00:00
Maximum2014-06-23 00:00:00
2023-12-13T08:50:40.700319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:50:40.852033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업종
Text

Distinct53
Distinct (%)51.5%
Missing0
Missing (%)0.0%
Memory size956.0 B
2023-12-13T08:50:41.086221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length73
Median length47
Mean length18.07767
Min length4

Characters and Unicode

Total characters1862
Distinct characters72
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique38 ?
Unique (%)36.9%

Sample

1st row토공사업, 철근콘크리트공사업
2nd row조경식재공사업
3rd row조경식재공사업
4th row철근콘크리트공사업
5th row금속구조물ㆍ창호공사업
ValueCountFrequency (%)
철근콘크리트공사업 53
25.5%
석공사업 22
10.6%
상하수도설비공사업 16
 
7.7%
토공사업 16
 
7.7%
조경식재공사업 11
 
5.3%
시설물유지관리업 11
 
5.3%
철근콘크리트공사업(폐업 9
 
4.3%
제2종 8
 
3.8%
금속구조물ㆍ창호공사업 8
 
3.8%
보링그라우팅공사업 6
 
2.9%
Other values (24) 48
23.1%
2023-12-13T08:50:41.478094image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
업 217
 
11.7%
공 186
 
10.0%
사 176
 
9.5%
105
 
5.6%
, 95
 
5.1%
리 75
 
4.0%
철 65
 
3.5%
콘 63
 
3.4%
크 63
 
3.4%
트 63
 
3.4%
Other values (62) 754
40.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1584
85.1%
Space Separator 105
 
5.6%
Other Punctuation 95
 
5.1%
Open Punctuation 34
 
1.8%
Close Punctuation 34
 
1.8%
Decimal Number 10
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
업 217
 
13.7%
공 186
 
11.7%
사 176
 
11.1%
리 75
 
4.7%
철 65
 
4.1%
콘 63
 
4.0%
크 63
 
4.0%
트 63
 
4.0%
근 63
 
4.0%
설 41
 
2.6%
Other values (55) 572
36.1%
Decimal Number
ValueCountFrequency (%)
2 8
80.0%
1 1
 
10.0%
3 1
 
10.0%
Space Separator
ValueCountFrequency (%)
105
100.0%
Other Punctuation
ValueCountFrequency (%)
, 95
100.0%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1584
85.1%
Common 278
 
14.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
업 217
 
13.7%
공 186
 
11.7%
사 176
 
11.1%
리 75
 
4.7%
철 65
 
4.1%
콘 63
 
4.0%
크 63
 
4.0%
트 63
 
4.0%
근 63
 
4.0%
설 41
 
2.6%
Other values (55) 572
36.1%
Common
ValueCountFrequency (%)
105
37.8%
, 95
34.2%
( 34
 
12.2%
) 34
 
12.2%
2 8
 
2.9%
1 1
 
0.4%
3 1
 
0.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1574
84.5%
ASCII 278
 
14.9%
Compat Jamo 10
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
업 217
 
13.8%
공 186
 
11.8%
사 176
 
11.2%
리 75
 
4.8%
철 65
 
4.1%
콘 63
 
4.0%
크 63
 
4.0%
트 63
 
4.0%
근 63
 
4.0%
설 41
 
2.6%
Other values (54) 562
35.7%
ASCII
ValueCountFrequency (%)
105
37.8%
, 95
34.2%
( 34
 
12.2%
) 34
 
12.2%
2 8
 
2.9%
1 1
 
0.4%
3 1
 
0.4%
Compat Jamo
ValueCountFrequency (%)
ㆍ 10
100.0%

등록번호
Text

UNIQUE 

Distinct103
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size956.0 B
2023-12-13T08:50:41.746116image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length88
Median length67
Mean length26.320388
Min length4

Characters and Unicode

Total characters2711
Distinct characters49
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

Unique103 ?
Unique (%)100.0%

Sample

1st row전북전주2005-02-3, 전북익산 99-10-01
2nd row전북임실2006-18-01
3rd row전북임실2010-16-01
4th row전북남원05-10-03
5th row전북임실2010-07-01
ValueCountFrequency (%)
전북 4
 
1.9%
전남 2
 
0.9%
전북장수 2
 
0.9%
전북임실 2
 
0.9%
전북97-02-345 2
 
0.9%
전북임실2011-09-02 2
 
0.9%
김해2013-06-03 1
 
0.5%
02-316 1
 
0.5%
10-394 1
 
0.5%
전북96-10-473 1
 
0.5%
Other values (196) 196
91.6%
2023-12-13T08:50:42.164574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 495
18.3%
- 391
14.4%
1 281
10.4%
2 231
8.5%
전 178
 
6.6%
북 165
 
6.1%
9 136
 
5.0%
111
 
4.1%
, 95
 
3.5%
실 89
 
3.3%
Other values (39) 539
19.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1467
54.1%
Other Letter 647
23.9%
Dash Punctuation 391
 
14.4%
Space Separator 111
 
4.1%
Other Punctuation 95
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 178
27.5%
북 165
25.5%
실 89
13.8%
임 89
13.8%
주 26
 
4.0%
남 12
 
1.9%
원 9
 
1.4%
완 8
 
1.2%
경 7
 
1.1%
수 5
 
0.8%
Other values (26) 59
 
9.1%
Decimal Number
ValueCountFrequency (%)
0 495
33.7%
1 281
19.2%
2 231
15.7%
9 136
 
9.3%
4 80
 
5.5%
3 77
 
5.2%
6 48
 
3.3%
5 43
 
2.9%
7 41
 
2.8%
8 35
 
2.4%
Dash Punctuation
ValueCountFrequency (%)
- 391
100.0%
Space Separator
ValueCountFrequency (%)
111
100.0%
Other Punctuation
ValueCountFrequency (%)
, 95
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2064
76.1%
Hangul 647
 
23.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 178
27.5%
북 165
25.5%
실 89
13.8%
임 89
13.8%
주 26
 
4.0%
남 12
 
1.9%
원 9
 
1.4%
완 8
 
1.2%
경 7
 
1.1%
수 5
 
0.8%
Other values (26) 59
 
9.1%
Common
ValueCountFrequency (%)
0 495
24.0%
- 391
18.9%
1 281
13.6%
2 231
11.2%
9 136
 
6.6%
111
 
5.4%
, 95
 
4.6%
4 80
 
3.9%
3 77
 
3.7%
6 48
 
2.3%
Other values (3) 119
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2064
76.1%
Hangul 647
 
23.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 495
24.0%
- 391
18.9%
1 281
13.6%
2 231
11.2%
9 136
 
6.6%
111
 
5.4%
, 95
 
4.6%
4 80
 
3.9%
3 77
 
3.7%
6 48
 
2.3%
Other values (3) 119
 
5.8%
Hangul
ValueCountFrequency (%)
전 178
27.5%
북 165
25.5%
실 89
13.8%
임 89
13.8%
주 26
 
4.0%
남 12
 
1.9%
원 9
 
1.4%
완 8
 
1.2%
경 7
 
1.1%
수 5
 
0.8%
Other values (26) 59
 
9.1%

등록일자
Date

Distinct95
Distinct (%)92.2%
Missing0
Missing (%)0.0%
Memory size956.0 B
Minimum1989-11-22 00:00:00
Maximum2014-06-23 00:00:00
2023-12-13T08:50:42.305604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T08:50:42.469779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업소재지(도로명)
Text

MISSING 

Distinct76
Distinct (%)82.6%
Missing11
Missing (%)10.7%
Memory size956.0 B
2023-12-13T08:50:42.788899image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length36
Mean length21.98913
Min length17

Characters and Unicode

Total characters2023
Distinct characters104
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)69.6%

Sample

1st row전라북도 임실군 신평면 석등슬치로 354-1
2nd row전라북도 임실군 관촌면 병암1길 118-59
3rd row전라북도 임실군 덕치면 회문3길 3
4th row전라북도 임실군 오수면 삼일로 11
5th row전라북도 임실군 임실읍 운수로 47
ValueCountFrequency (%)
임실군 93
19.2%
전라북도 80
16.5%
임실읍 35
 
7.2%
봉황로 17
 
3.5%
오수면 16
 
3.3%
관촌면 14
 
2.9%
전북 12
 
2.5%
오수로 8
 
1.6%
신평면 8
 
1.6%
11 7
 
1.4%
Other values (119) 195
40.2%
2023-12-13T08:50:43.244106image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
393
19.4%
임 132
 
6.5%
실 128
 
6.3%
1 113
 
5.6%
전 93
 
4.6%
군 93
 
4.6%
북 92
 
4.5%
라 81
 
4.0%
도 81
 
4.0%
로 64
 
3.2%
Other values (94) 753
37.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1262
62.4%
Space Separator 393
 
19.4%
Decimal Number 322
 
15.9%
Dash Punctuation 32
 
1.6%
Other Punctuation 6
 
0.3%
Open Punctuation 4
 
0.2%
Close Punctuation 4
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
임 132
 
10.5%
실 128
 
10.1%
전 93
 
7.4%
군 93
 
7.4%
북 92
 
7.3%
라 81
 
6.4%
도 81
 
6.4%
로 64
 
5.1%
면 57
 
4.5%
읍 35
 
2.8%
Other values (79) 406
32.2%
Decimal Number
ValueCountFrequency (%)
1 113
35.1%
2 37
 
11.5%
3 34
 
10.6%
6 25
 
7.8%
8 20
 
6.2%
7 20
 
6.2%
5 19
 
5.9%
9 19
 
5.9%
4 18
 
5.6%
0 17
 
5.3%
Space Separator
ValueCountFrequency (%)
393
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 32
100.0%
Other Punctuation
ValueCountFrequency (%)
, 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 4
100.0%
Close Punctuation
ValueCountFrequency (%)
) 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1262
62.4%
Common 761
37.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
임 132
 
10.5%
실 128
 
10.1%
전 93
 
7.4%
군 93
 
7.4%
북 92
 
7.3%
라 81
 
6.4%
도 81
 
6.4%
로 64
 
5.1%
면 57
 
4.5%
읍 35
 
2.8%
Other values (79) 406
32.2%
Common
ValueCountFrequency (%)
393
51.6%
1 113
 
14.8%
2 37
 
4.9%
3 34
 
4.5%
- 32
 
4.2%
6 25
 
3.3%
8 20
 
2.6%
7 20
 
2.6%
5 19
 
2.5%
9 19
 
2.5%
Other values (5) 49
 
6.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1262
62.4%
ASCII 761
37.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
393
51.6%
1 113
 
14.8%
2 37
 
4.9%
3 34
 
4.5%
- 32
 
4.2%
6 25
 
3.3%
8 20
 
2.6%
7 20
 
2.6%
5 19
 
2.5%
9 19
 
2.5%
Other values (5) 49
 
6.4%
Hangul
ValueCountFrequency (%)
임 132
 
10.5%
실 128
 
10.1%
전 93
 
7.4%
군 93
 
7.4%
북 92
 
7.3%
라 81
 
6.4%
도 81
 
6.4%
로 64
 
5.1%
면 57
 
4.5%
읍 35
 
2.8%
Other values (79) 406
32.2%

전화번호
Text

MISSING 

Distinct93
Distinct (%)93.9%
Missing4
Missing (%)3.9%
Memory size956.0 B
2023-12-13T08:50:43.481973image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.020202
Min length12

Characters and Unicode

Total characters1190
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

Unique88 ?
Unique (%)88.9%

Sample

1st row063-644-0416
2nd row063-643-5030
3rd row063-643-7408
4th row063-644-0550
5th row063-644-6428
ValueCountFrequency (%)
063-644-9456 3
 
3.0%
063-643-8069 2
 
2.0%
063-228-7643 2
 
2.0%
063-644-4521 2
 
2.0%
063-644-1006 2
 
2.0%
063-241-8346 1
 
1.0%
063-642-8897 1
 
1.0%
070-4138-4605 1
 
1.0%
063-644-1600 1
 
1.0%
063-644-8219 1
 
1.0%
Other values (83) 83
83.8%
2023-12-13T08:50:43.832832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6 223
18.7%
- 198
16.6%
3 170
14.3%
0 160
13.4%
4 152
12.8%
2 78
 
6.6%
5 52
 
4.4%
8 45
 
3.8%
7 43
 
3.6%
1 41
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 992
83.4%
Dash Punctuation 198
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
6 223
22.5%
3 170
17.1%
0 160
16.1%
4 152
15.3%
2 78
 
7.9%
5 52
 
5.2%
8 45
 
4.5%
7 43
 
4.3%
1 41
 
4.1%
9 28
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 198
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1190
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
6 223
18.7%
- 198
16.6%
3 170
14.3%
0 160
13.4%
4 152
12.8%
2 78
 
6.6%
5 52
 
4.4%
8 45
 
3.8%
7 43
 
3.6%
1 41
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1190
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6 223
18.7%
- 198
16.6%
3 170
14.3%
0 160
13.4%
4 152
12.8%
2 78
 
6.6%
5 52
 
4.4%
8 45
 
3.8%
7 43
 
3.6%
1 41
 
3.4%

Interactions

2023-12-13T08:50:39.009605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T08:50:43.927837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번설립일자업종등록일자영업소재지(도로명)전화번호
순번1.0000.5290.4810.3460.3330.846
설립일자0.5291.0000.0000.9990.9920.974
업종0.4810.0001.0000.0000.0000.943
등록일자0.3460.9990.0001.0000.9830.957
영업소재지(도로명)0.3330.9920.0000.9831.0000.997
전화번호0.8460.9740.9430.9570.9971.000

Missing values

2023-12-13T08:50:39.129695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T08:50:39.284939image/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.
2023-12-13T08:50:39.402391image/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

순번상호명설립일자업종등록번호등록일자영업소재지(도로명)전화번호
01(유)가람건설1999-03-18토공사업, 철근콘크리트공사업전북전주2005-02-3, 전북익산 99-10-011999-03-18전라북도 임실군 신평면 석등슬치로 354-1063-644-0416
12(유)가원2006-04-17조경식재공사업전북임실2006-18-012006-04-17전라북도 임실군 관촌면 병암1길 118-59063-643-5030
23(유)강산조경2010-02-11조경식재공사업전북임실2010-16-012010-02-11전라북도 임실군 덕치면 회문3길 3063-643-7408
34(유)거목건설2005-01-03철근콘크리트공사업전북남원05-10-032005-01-03전라북도 임실군 오수면 삼일로 11063-644-0550
45(유)거산산업2010-05-04금속구조물ㆍ창호공사업전북임실2010-07-012010-05-04전라북도 임실군 임실읍 운수로 47063-644-6428
56(유)건원산업개발2004-09-04철근콘크리트공사업전북완주2004-10-012004-09-04<NA>063-247-6962
67(유)건준건설2006-10-19토공사업, 철근콘크리트공사업전북전주2006-02-7, 전북전주2006-10-132006-10-19전북 임실군 임실읍 봉황로 167063-642-3033
78(유)광성건설2001-09-25금속구조물ㆍ창호공사업, 철근콘크리트공사업(폐업), 상하수도설비공사업전북임실2014-07-02, 전북임실2001-10-14, 전북임실2001-13-102001-09-25전라북도 임실군 신평면 가덕로 698063-643-5411
89(유)다솔건설2014-03-27시설물유지관리업전북임실2014-29-012014-03-27전라북도 임실군 지사면 계산4길 48-19063-643-6676
910(유)대건건설1994-12-20철근콘크리트공사업, 토공사업전북 94-13-335, 전북 94-02-2521994-12-20<NA>063-643-1110
순번상호명설립일자업종등록번호등록일자영업소재지(도로명)전화번호
9394영민주식회사2014-04-04토공사업, 철근콘크리트공사업전북임실2014-02-01, 전북임실2014-10-012014-04-04전라북도 임실군 신평면 석등슬치로 362063-644-7565
9495오수가스2009-09-29가스시설시공업 제2종전북임실2009-24-022009-09-29<NA>063-644-5550
9596옥천개발(주)2013-11-14보링그라우팅공사업광주동2013-12-012013-11-14전라북도 임실군 임실읍 봉황로 192, 2층063-643-6115
9697유)에스에이치건설2009-11-06시설물유지관리업전북김제 2009-29-032009-11-06전북 임실군 임실읍 봉황로 167063-545-5212
9798임실경동보일러2005-06-21난방시공업 제2종전북임실2005-28-012005-06-21전라북도 임실군 임실읍 봉황로 185-2063-643-7700
9899임실군산림조합1989-11-22조경식재공사업제38호1989-11-22전라북도 임실군 임실읍 중동1길 6063-642-2501
99100주식회사진토건설2006-08-09실내건축공사업대전동구2006-01-012006-08-09전라북도 임실군 관촌면 사선1길 11, 아가맨션아파트 103호063-228-7643
100101태양설비경동보일러2000-02-25난방시공업 제2종임실2000-28-092000-02-25전북 임실군 관촌면 춘향로 3331063-642-0664
101102풍택조경건설2006-03-03조경식재공사업전북전주2006-18-32006-03-03전라북도 임실군 관촌면 춘향로 3333063-451-3901
102103현대수도설비사2004-07-09난방시공업 제2종, 가스시설시공업 제3종전북임실2002-28-01, 전북임실2004-27-012002-12-31전라북도 임실군 임실읍 봉황로 218063-644-8777