Overview

Dataset statistics

Number of variables9
Number of observations34
Missing cells1
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.6 KiB
Average record size in memory77.9 B

Variable types

Categorical1
Text4
DateTime2
Numeric2

Dataset

Description충청남도 부여군 산업단지 내 입주기업 현황입니다.(산업단지명, 기업명, 사업장주소, 설립일자, 종업원수, 전화번호, 등)
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=419&beforeMenuCd=DOM_000000201001001000&publicdatapk=15053311

Alerts

데이터기준일자 has constant value ""Constant
종업원수 is highly overall correlated with 연매출액(천원) and 1 other fieldsHigh correlation
연매출액(천원) is highly overall correlated with 종업원수 and 1 other fieldsHigh correlation
산업단지명 is highly overall correlated with 종업원수 and 1 other fieldsHigh correlation
사업장 주소(도로명) has 1 (2.9%) missing valuesMissing
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 22:12:58.054184
Analysis finished2024-01-09 22:12:58.838012
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

산업단지명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)14.7%
Missing0
Missing (%)0.0%
Memory size404.0 B
은산산업단지
15 
홍산산업단지
임천산업단지
은산2산업단지
장암산업단지
 
1

Length

Max length7
Median length6
Mean length6.1176471
Min length6

Unique

Unique1 ?
Unique (%)2.9%

Sample

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

Common Values

ValueCountFrequency (%)
은산산업단지 15
44.1%
홍산산업단지 8
23.5%
임천산업단지 6
 
17.6%
은산2산업단지 4
 
11.8%
장암산업단지 1
 
2.9%

Length

2024-01-10T07:12:58.889843image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T07:12:58.971912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
은산산업단지 15
44.1%
홍산산업단지 8
23.5%
임천산업단지 6
 
17.6%
은산2산업단지 4
 
11.8%
장암산업단지 1
 
2.9%
Distinct33
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-01-10T07:12:59.133072image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length8.5
Mean length7.1176471
Min length3

Characters and Unicode

Total characters242
Distinct characters104
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique32 ?
Unique (%)94.1%

Sample

1st row(주)맛푸름
2nd row후레시팜
3rd row백제금산인삼협동조합
4th row(주)우리면
5th row(주)성신B.N.F
ValueCountFrequency (%)
밤뜨래영농조합법인 2
 
5.7%
주)비에스 1
 
2.9%
㈜청정테크 1
 
2.9%
주)비츠로씨앤씨 1
 
2.9%
㈜에스피 1
 
2.9%
주)에이시텍 1
 
2.9%
유)자연환경 1
 
2.9%
㈜석주 1
 
2.9%
주)제일산업 1
 
2.9%
한국유기농업개발㈜ 1
 
2.9%
Other values (24) 24
68.6%
2024-01-10T07:12:59.423440image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
) 16
 
6.6%
( 16
 
6.6%
14
 
5.8%
13
 
5.4%
8
 
3.3%
7
 
2.9%
5
 
2.1%
5
 
2.1%
4
 
1.7%
4
 
1.7%
Other values (94) 150
62.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 186
76.9%
Close Punctuation 16
 
6.6%
Open Punctuation 16
 
6.6%
Other Symbol 14
 
5.8%
Uppercase Letter 5
 
2.1%
Other Punctuation 3
 
1.2%
Space Separator 2
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
13
 
7.0%
8
 
4.3%
7
 
3.8%
5
 
2.7%
5
 
2.7%
4
 
2.2%
4
 
2.2%
4
 
2.2%
4
 
2.2%
3
 
1.6%
Other values (83) 129
69.4%
Uppercase Letter
ValueCountFrequency (%)
P 1
20.0%
L 1
20.0%
F 1
20.0%
N 1
20.0%
B 1
20.0%
Other Punctuation
ValueCountFrequency (%)
. 2
66.7%
, 1
33.3%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Other Symbol
ValueCountFrequency (%)
14
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 200
82.6%
Common 37
 
15.3%
Latin 5
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
14
 
7.0%
13
 
6.5%
8
 
4.0%
7
 
3.5%
5
 
2.5%
5
 
2.5%
4
 
2.0%
4
 
2.0%
4
 
2.0%
4
 
2.0%
Other values (84) 132
66.0%
Common
ValueCountFrequency (%)
) 16
43.2%
( 16
43.2%
2
 
5.4%
. 2
 
5.4%
, 1
 
2.7%
Latin
ValueCountFrequency (%)
P 1
20.0%
L 1
20.0%
F 1
20.0%
N 1
20.0%
B 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 186
76.9%
ASCII 42
 
17.4%
None 14
 
5.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
) 16
38.1%
( 16
38.1%
2
 
4.8%
. 2
 
4.8%
P 1
 
2.4%
L 1
 
2.4%
F 1
 
2.4%
N 1
 
2.4%
B 1
 
2.4%
, 1
 
2.4%
None
ValueCountFrequency (%)
14
100.0%
Hangul
ValueCountFrequency (%)
13
 
7.0%
8
 
4.3%
7
 
3.8%
5
 
2.7%
5
 
2.7%
4
 
2.2%
4
 
2.2%
4
 
2.2%
4
 
2.2%
3
 
1.6%
Other values (83) 129
69.4%
Distinct32
Distinct (%)94.1%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-01-10T07:12:59.589031image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21.5
Mean length20.882353
Min length18

Characters and Unicode

Total characters710
Distinct characters34
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

Unique30 ?
Unique (%)88.2%

Sample

1st row충청남도 부여군 은산면 은산리 15
2nd row충청남도 부여군 은산면 은산리 25-28
3rd row충청남도 부여군 은산면 은산리 25-14
4th row충청남도 부여군 은산면 은산리 16-14
5th row충청남도 부여군 은산면 은산리 25-10
ValueCountFrequency (%)
충청남도 34
20.2%
부여군 34
20.2%
은산면 19
11.3%
은산리 14
8.3%
홍산면 8
 
4.8%
홍양리 8
 
4.8%
임천면 6
 
3.6%
칠산리 5
 
3.0%
가중리 4
 
2.4%
25-13 2
 
1.2%
Other values (33) 34
20.2%
2024-01-10T07:12:59.851623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
134
18.9%
48
 
6.8%
34
 
4.8%
34
 
4.8%
34
 
4.8%
34
 
4.8%
34
 
4.8%
34
 
4.8%
34
 
4.8%
34
 
4.8%
Other values (24) 256
36.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 442
62.3%
Space Separator 134
 
18.9%
Decimal Number 114
 
16.1%
Dash Punctuation 20
 
2.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
48
10.9%
34
 
7.7%
34
 
7.7%
34
 
7.7%
34
 
7.7%
34
 
7.7%
34
 
7.7%
34
 
7.7%
34
 
7.7%
34
 
7.7%
Other values (12) 88
19.9%
Decimal Number
ValueCountFrequency (%)
1 20
17.5%
2 17
14.9%
0 16
14.0%
5 15
13.2%
6 14
12.3%
3 13
11.4%
9 7
 
6.1%
7 6
 
5.3%
4 3
 
2.6%
8 3
 
2.6%
Space Separator
ValueCountFrequency (%)
134
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 442
62.3%
Common 268
37.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
48
10.9%
34
 
7.7%
34
 
7.7%
34
 
7.7%
34
 
7.7%
34
 
7.7%
34
 
7.7%
34
 
7.7%
34
 
7.7%
34
 
7.7%
Other values (12) 88
19.9%
Common
ValueCountFrequency (%)
134
50.0%
- 20
 
7.5%
1 20
 
7.5%
2 17
 
6.3%
0 16
 
6.0%
5 15
 
5.6%
6 14
 
5.2%
3 13
 
4.9%
9 7
 
2.6%
7 6
 
2.2%
Other values (2) 6
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 442
62.3%
ASCII 268
37.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
134
50.0%
- 20
 
7.5%
1 20
 
7.5%
2 17
 
6.3%
0 16
 
6.0%
5 15
 
5.6%
6 14
 
5.2%
3 13
 
4.9%
9 7
 
2.6%
7 6
 
2.2%
Other values (2) 6
 
2.2%
Hangul
ValueCountFrequency (%)
48
10.9%
34
 
7.7%
34
 
7.7%
34
 
7.7%
34
 
7.7%
34
 
7.7%
34
 
7.7%
34
 
7.7%
34
 
7.7%
34
 
7.7%
Other values (12) 88
19.9%
Distinct29
Distinct (%)87.9%
Missing1
Missing (%)2.9%
Memory size404.0 B
2024-01-10T07:13:00.006676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length26
Mean length23
Min length19

Characters and Unicode

Total characters759
Distinct characters34
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

Unique26 ?
Unique (%)78.8%

Sample

1st row충청남도 부여군 은산면 충의로 622번길 13
2nd row충청남도 부여군 은산면 충의로 602-21
3rd row충청남도 부여군 은산면 충의로 602-12
4th row충청남도 부여군 은산면 충의로 602-32
5th row충청남도 부여군 은산면 충의로 602-15
ValueCountFrequency (%)
충청남도 33
18.3%
부여군 33
18.3%
은산면 19
10.6%
충의로 15
 
8.3%
홍산면 7
 
3.9%
171번길 6
 
3.3%
비홍로 6
 
3.3%
부흥로 6
 
3.3%
임천면 6
 
3.3%
622번길 5
 
2.8%
Other values (33) 44
24.4%
2024-01-10T07:13:00.271167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
147
19.4%
49
 
6.5%
39
 
5.1%
37
 
4.9%
2 36
 
4.7%
33
 
4.3%
33
 
4.3%
33
 
4.3%
33
 
4.3%
33
 
4.3%
Other values (24) 286
37.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 459
60.5%
Space Separator 147
 
19.4%
Decimal Number 141
 
18.6%
Dash Punctuation 12
 
1.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
49
10.7%
39
 
8.5%
37
 
8.1%
33
 
7.2%
33
 
7.2%
33
 
7.2%
33
 
7.2%
33
 
7.2%
32
 
7.0%
26
 
5.7%
Other values (13) 111
24.2%
Decimal Number
ValueCountFrequency (%)
2 36
25.5%
1 25
17.7%
6 19
13.5%
0 19
13.5%
3 12
 
8.5%
7 11
 
7.8%
9 7
 
5.0%
5 7
 
5.0%
4 5
 
3.5%
Space Separator
ValueCountFrequency (%)
147
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 459
60.5%
Common 300
39.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
49
10.7%
39
 
8.5%
37
 
8.1%
33
 
7.2%
33
 
7.2%
33
 
7.2%
33
 
7.2%
33
 
7.2%
32
 
7.0%
26
 
5.7%
Other values (13) 111
24.2%
Common
ValueCountFrequency (%)
147
49.0%
2 36
 
12.0%
1 25
 
8.3%
6 19
 
6.3%
0 19
 
6.3%
- 12
 
4.0%
3 12
 
4.0%
7 11
 
3.7%
9 7
 
2.3%
5 7
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 459
60.5%
ASCII 300
39.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
147
49.0%
2 36
 
12.0%
1 25
 
8.3%
6 19
 
6.3%
0 19
 
6.3%
- 12
 
4.0%
3 12
 
4.0%
7 11
 
3.7%
9 7
 
2.3%
5 7
 
2.3%
Hangul
ValueCountFrequency (%)
49
10.7%
39
 
8.5%
37
 
8.1%
33
 
7.2%
33
 
7.2%
33
 
7.2%
33
 
7.2%
33
 
7.2%
32
 
7.0%
26
 
5.7%
Other values (13) 111
24.2%
Distinct31
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size404.0 B
Minimum1990-12-01 00:00:00
Maximum2018-01-01 00:00:00
2024-01-10T07:13:00.369850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:13:00.456047image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=31)

종업원수
Real number (ℝ)

HIGH CORRELATION 

Distinct18
Distinct (%)52.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19.911765
Minimum1
Maximum203
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-01-10T07:13:00.536045image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q15
median7.5
Q318.75
95-th percentile59.95
Maximum203
Range202
Interquartile range (IQR)13.75

Descriptive statistics

Standard deviation36.821739
Coefficient of variation (CV)1.8492454
Kurtosis19.650099
Mean19.911765
Median Absolute Deviation (MAD)4.5
Skewness4.2159894
Sum677
Variance1355.8405
MonotonicityNot monotonic
2024-01-10T07:13:00.626587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=18)
ValueCountFrequency (%)
5 5
14.7%
6 4
11.8%
26 3
 
8.8%
3 3
 
8.8%
7 2
 
5.9%
10 2
 
5.9%
16 2
 
5.9%
2 2
 
5.9%
30 2
 
5.9%
19 1
 
2.9%
Other values (8) 8
23.5%
ValueCountFrequency (%)
1 1
 
2.9%
2 2
 
5.9%
3 3
8.8%
5 5
14.7%
6 4
11.8%
7 2
 
5.9%
8 1
 
2.9%
10 2
 
5.9%
12 1
 
2.9%
13 1
 
2.9%
ValueCountFrequency (%)
203 1
 
2.9%
97 1
 
2.9%
40 1
 
2.9%
30 2
5.9%
26 3
8.8%
19 1
 
2.9%
18 1
 
2.9%
16 2
5.9%
13 1
 
2.9%
12 1
 
2.9%

전화번호
Text

UNIQUE 

Distinct34
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size404.0 B
2024-01-10T07:13:00.788931image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters408
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

Unique34 ?
Unique (%)100.0%

Sample

1st row041-832-7305
2nd row041-832-9479
3rd row041-832-7884
4th row041-832-1571
5th row041-833-8501
ValueCountFrequency (%)
041-832-7305 1
 
2.9%
041-832-9479 1
 
2.9%
042-834-7700 1
 
2.9%
042-638-4600 1
 
2.9%
041-830-9400 1
 
2.9%
041-854-8593 1
 
2.9%
041-836-7613 1
 
2.9%
041-836-2050 1
 
2.9%
041-836-1045 1
 
2.9%
041-837-0152 1
 
2.9%
Other values (24) 24
70.6%
2024-01-10T07:13:01.050122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 68
16.7%
0 59
14.5%
1 51
12.5%
3 49
12.0%
4 46
11.3%
8 46
11.3%
7 25
 
6.1%
2 19
 
4.7%
6 19
 
4.7%
5 14
 
3.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 340
83.3%
Dash Punctuation 68
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 59
17.4%
1 51
15.0%
3 49
14.4%
4 46
13.5%
8 46
13.5%
7 25
7.4%
2 19
 
5.6%
6 19
 
5.6%
5 14
 
4.1%
9 12
 
3.5%
Dash Punctuation
ValueCountFrequency (%)
- 68
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 408
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 68
16.7%
0 59
14.5%
1 51
12.5%
3 49
12.0%
4 46
11.3%
8 46
11.3%
7 25
 
6.1%
2 19
 
4.7%
6 19
 
4.7%
5 14
 
3.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 408
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 68
16.7%
0 59
14.5%
1 51
12.5%
3 49
12.0%
4 46
11.3%
8 46
11.3%
7 25
 
6.1%
2 19
 
4.7%
6 19
 
4.7%
5 14
 
3.4%

연매출액(천원)
Real number (ℝ)

HIGH CORRELATION 

Distinct30
Distinct (%)88.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4420558.8
Minimum15000
Maximum62749000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size438.0 B
2024-01-10T07:13:01.154865image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum15000
5-th percentile71600
Q1320000
median1108000
Q33494750
95-th percentile13050000
Maximum62749000
Range62734000
Interquartile range (IQR)3174750

Descriptive statistics

Standard deviation10918984
Coefficient of variation (CV)2.4700461
Kurtosis26.362686
Mean4420558.8
Median Absolute Deviation (MAD)983000
Skewness4.9202943
Sum1.50299 × 108
Variance1.1922421 × 1014
MonotonicityNot monotonic
2024-01-10T07:13:01.253511image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=30)
ValueCountFrequency (%)
800000 2
 
5.9%
100000 2
 
5.9%
1500000 2
 
5.9%
500000 2
 
5.9%
5000000 1
 
2.9%
7576000 1
 
2.9%
1300000 1
 
2.9%
15000000 1
 
2.9%
7850000 1
 
2.9%
80000 1
 
2.9%
Other values (20) 20
58.8%
ValueCountFrequency (%)
15000 1
2.9%
56000 1
2.9%
80000 1
2.9%
100000 2
5.9%
150000 1
2.9%
180000 1
2.9%
200000 1
2.9%
300000 1
2.9%
380000 1
2.9%
500000 2
5.9%
ValueCountFrequency (%)
62749000 1
2.9%
15000000 1
2.9%
12000000 1
2.9%
8400000 1
2.9%
7850000 1
2.9%
7576000 1
2.9%
5000000 1
2.9%
4400000 1
2.9%
3500000 1
2.9%
3479000 1
2.9%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.9%
Missing0
Missing (%)0.0%
Memory size404.0 B
Minimum2021-09-24 00:00:00
Maximum2021-09-24 00:00:00
2024-01-10T07:13:01.331776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:13:01.410452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-10T07:12:58.538251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:12:58.396336image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:12:58.609514image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T07:12:58.469420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T07:13:01.472604image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
산업단지명기업명사업장 주소(지번)사업장 주소(도로명)설립일자종업원수전화번호연매출액(천원)
산업단지명1.0000.8281.0001.0000.0000.6891.0000.666
기업명0.8281.0000.9770.9680.9861.0001.0001.000
사업장 주소(지번)1.0000.9771.0001.0000.9331.0001.0001.000
사업장 주소(도로명)1.0000.9681.0001.0000.8391.0001.0001.000
설립일자0.0000.9860.9330.8391.0000.0001.0000.000
종업원수0.6891.0001.0001.0000.0001.0001.0000.982
전화번호1.0001.0001.0001.0001.0001.0001.0001.000
연매출액(천원)0.6661.0001.0001.0000.0000.9821.0001.000
2024-01-10T07:13:01.787982image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
종업원수연매출액(천원)산업단지명
종업원수1.0000.6900.611
연매출액(천원)0.6901.0000.586
산업단지명0.6110.5861.000

Missing values

2024-01-10T07:12:58.697470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T07:12:58.797302image/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

산업단지명기업명사업장 주소(지번)사업장 주소(도로명)설립일자종업원수전화번호연매출액(천원)데이터기준일자
0은산산업단지(주)맛푸름충청남도 부여군 은산면 은산리 15충청남도 부여군 은산면 충의로 622번길 132016-05-017041-832-73058000002021-09-24
1은산산업단지후레시팜충청남도 부여군 은산면 은산리 25-28충청남도 부여군 은산면 충의로 602-212004-07-015041-832-94795500002021-09-24
2은산산업단지백제금산인삼협동조합충청남도 부여군 은산면 은산리 25-14충청남도 부여군 은산면 충의로 602-122003-08-0126041-832-788478500002021-09-24
3은산산업단지(주)우리면충청남도 부여군 은산면 은산리 16-14충청남도 부여군 은산면 충의로 602-322007-04-0140041-832-157175760002021-09-24
4은산산업단지(주)성신B.N.F충청남도 부여군 은산면 은산리 25-10충청남도 부여군 은산면 충의로 602-152004-04-0110041-833-85018000002021-09-24
5은산산업단지밤뜨래영농조합법인충청남도 부여군 은산면 은산리 25-6충청남도 부여군 은산면 충의로 602-272005-11-0126041-834-770050000002021-09-24
6은산산업단지(주)금강필텍충청남도 부여군 은산면 은산리 13충청남도 부여군 은산면 충의로 622번길 232006-07-0116041-833-822244000002021-09-24
7은산산업단지㈜브레일텍충청남도 부여군 은산면 은산리 25-13충청남도 부여군 은산면 충의로 6002013-09-012041-833-8051150002021-09-24
8은산산업단지㈜네비엔 부여사업소충청남도 부여군 은산면 은산리 12-7충청남도 부여군 은산면 충의로 622번길 302013-12-016041-837-015135000002021-09-24
9은산산업단지㈜뉴제일이엘이씨충청남도 부여군 은산면 은산리 10충청남도 부여군 은산면 충의로 622번길 392014-01-017041-837-01529000002021-09-24
산업단지명기업명사업장 주소(지번)사업장 주소(도로명)설립일자종업원수전화번호연매출액(천원)데이터기준일자
24홍산산업단지(주)제일산업충청남도 부여군 홍산면 홍양리 305-3충청남도 부여군 홍산면 비홍로 59-101996-11-0119041-836-807734790002021-09-24
25홍산산업단지에스원스틸(주)충청남도 부여군 홍산면 홍양리 305-1충청남도 부여군 홍산면 비홍로 59-21996-05-0112041-836-256725000002021-09-24
26홍산산업단지(주)비에스충청남도 부여군 홍산면 홍양리 306-6충청남도 부여군 홍산면 비홍로 39-62008-07-0130041-836-104518180002021-09-24
27홍산산업단지(유)자연환경충청남도 부여군 홍산면 홍양리 306-5충청남도 부여군 홍산면 비홍로 39-202015-03-016041-836-2050800002021-09-24
28홍산산업단지(주)에이시텍충청남도 부여군 홍산면 홍양리 306-7충청남도 부여군 홍산면 비홍리 492009-11-0110041-836-761315000002021-09-24
29홍산산업단지㈜에스피충청남도 부여군 홍산면 홍양리 306-1<NA>2008-04-013041-854-85931000002021-09-24
30은산2산업단지(주)비츠로씨앤씨충청남도 부여군 은산면 가중리 569충청남도 부여군 은산면 은남로 20번길 42-122013-01-0197041-830-9400150000002021-09-24
31은산2산업단지㈜청정테크충청남도 부여군 은산면 가중리 567충청남도 부여군 은산면 은남로 20번길 492015-05-018042-638-46005000002021-09-24
32은산2산업단지밤뜨래영농조합법인충청남도 부여군 은산면 가중리 568충청남도 부여군 은산면 은남로 20번길 652016-05-0126042-834-770013000002021-09-24
33은산2산업단지㈜삼화프린팅충청남도 부여군 은산면 가중리 566충청남도 부여군 은산면 은남로 30-252018-01-0130041-834-868615000002021-09-24