Overview

Dataset statistics

Number of variables9
Number of observations84
Missing cells5
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory6.2 KiB
Average record size in memory75.6 B

Variable types

Numeric2
Categorical2
Text4
DateTime1

Dataset

Description금산군 농공단지 내 입주업체현황(기업명, 주소, 전화번호, 공장등록일시 등)에 대한 내역입니다.
Author충청남도
URLhttps://alldam.chungnam.go.kr/index.chungnam?menuCd=DOM_000000201001001001&st=&cds=&orgCd=&apiType=&isOpen=Y&pageIndex=396&beforeMenuCd=DOM_000000201001001000&publicdatapk=15028982

Alerts

데이터기준일자 has constant value ""Constant
순번 is highly overall correlated with 산업단지명High correlation
종업원수 is highly overall correlated with 산업단지명High correlation
산업단지명 is highly overall correlated with 순번 and 1 other fieldsHigh correlation
전화번호 has 3 (3.6%) missing valuesMissing
종업원수 has 2 (2.4%) missing valuesMissing
회사명 has unique valuesUnique

Reproduction

Analysis started2024-01-09 21:25:50.188201
Analysis finished2024-01-09 21:25:51.671757
Duration1.48 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION 

Distinct82
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean41.095238
Minimum1
Maximum82
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2024-01-10T06:25:51.726833image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.15
Q121.75
median40.5
Q361.25
95-th percentile77.85
Maximum82
Range81
Interquartile range (IQR)39.5

Descriptive statistics

Standard deviation23.670743
Coefficient of variation (CV)0.57599722
Kurtosis-1.192509
Mean41.095238
Median Absolute Deviation (MAD)20
Skewness0.043387825
Sum3452
Variance560.30407
MonotonicityNot monotonic
2024-01-10T06:25:51.836281image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
24 2
 
2.4%
25 2
 
2.4%
1 1
 
1.2%
55 1
 
1.2%
61 1
 
1.2%
60 1
 
1.2%
59 1
 
1.2%
58 1
 
1.2%
57 1
 
1.2%
56 1
 
1.2%
Other values (72) 72
85.7%
ValueCountFrequency (%)
1 1
1.2%
2 1
1.2%
3 1
1.2%
4 1
1.2%
5 1
1.2%
6 1
1.2%
7 1
1.2%
8 1
1.2%
9 1
1.2%
10 1
1.2%
ValueCountFrequency (%)
82 1
1.2%
81 1
1.2%
80 1
1.2%
79 1
1.2%
78 1
1.2%
77 1
1.2%
76 1
1.2%
75 1
1.2%
74 1
1.2%
73 1
1.2%

산업단지명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)6.0%
Missing0
Missing (%)0.0%
Memory size804.0 B
추부농공단지
35 
금성농공단지
24 
복수농공단지
17 
인삼약초특화농공단지
7 
금산일반산업단지
 
1

Length

Max length10
Median length6
Mean length6.3571429
Min length6

Unique

Unique1 ?
Unique (%)1.2%

Sample

1st row금산일반산업단지
2nd row금성농공단지
3rd row금성농공단지
4th row금성농공단지
5th row금성농공단지

Common Values

ValueCountFrequency (%)
추부농공단지 35
41.7%
금성농공단지 24
28.6%
복수농공단지 17
20.2%
인삼약초특화농공단지 7
 
8.3%
금산일반산업단지 1
 
1.2%

Length

2024-01-10T06:25:51.953957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:25:52.052417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
추부농공단지 35
41.7%
금성농공단지 24
28.6%
복수농공단지 17
20.2%
인삼약초특화농공단지 7
 
8.3%
금산일반산업단지 1
 
1.2%

회사명
Text

UNIQUE 

Distinct84
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size804.0 B
2024-01-10T06:25:52.242561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length6.0714286
Min length3

Characters and Unicode

Total characters510
Distinct characters157
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

Unique84 ?
Unique (%)100.0%

Sample

1st row한국타이어㈜ 금산공장
2nd row태형산업㈜
3rd row한국생약영농조합법인
4th row㈜한영계기
5th row㈜부광케미컬
ValueCountFrequency (%)
농업회사법인 2
 
2.2%
한국타이어㈜ 1
 
1.1%
주)b 1
 
1.1%
주)서울전업공사 1
 
1.1%
주)힐링 1
 
1.1%
주)이엑스쏠라 1
 
1.1%
주)미래기전 1
 
1.1%
주)더드림솔루션 1
 
1.1%
주)에스코알티에스 1
 
1.1%
진테크 1
 
1.1%
Other values (80) 80
87.9%
2024-01-10T06:25:52.554492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 43
 
8.4%
스 23
 
4.5%
주 23
 
4.5%
에 20
 
3.9%
) 19
 
3.7%
이 14
 
2.7%
업 12
 
2.4%
산 10
 
2.0%
한 10
 
2.0%
엔 9
 
1.8%
Other values (147) 327
64.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 425
83.3%
Other Symbol 43
 
8.4%
Close Punctuation 19
 
3.7%
Uppercase Letter 9
 
1.8%
Space Separator 7
 
1.4%
Open Punctuation 6
 
1.2%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
스 23
 
5.4%
주 23
 
5.4%
에 20
 
4.7%
이 14
 
3.3%
업 12
 
2.8%
산 10
 
2.4%
한 10
 
2.4%
엔 9
 
2.1%
우 9
 
2.1%
티 7
 
1.6%
Other values (134) 288
67.8%
Uppercase Letter
ValueCountFrequency (%)
D 2
22.2%
B 1
11.1%
C 1
11.1%
S 1
11.1%
J 1
11.1%
E 1
11.1%
P 1
11.1%
I 1
11.1%
Other Symbol
ValueCountFrequency (%)
㈜ 43
100.0%
Close Punctuation
ValueCountFrequency (%)
) 19
100.0%
Space Separator
ValueCountFrequency (%)
7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Other Punctuation
ValueCountFrequency (%)
& 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 468
91.8%
Common 33
 
6.5%
Latin 9
 
1.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 43
 
9.2%
스 23
 
4.9%
주 23
 
4.9%
에 20
 
4.3%
이 14
 
3.0%
업 12
 
2.6%
산 10
 
2.1%
한 10
 
2.1%
엔 9
 
1.9%
우 9
 
1.9%
Other values (135) 295
63.0%
Latin
ValueCountFrequency (%)
D 2
22.2%
B 1
11.1%
C 1
11.1%
S 1
11.1%
J 1
11.1%
E 1
11.1%
P 1
11.1%
I 1
11.1%
Common
ValueCountFrequency (%)
) 19
57.6%
7
 
21.2%
( 6
 
18.2%
& 1
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 425
83.3%
None 43
 
8.4%
ASCII 42
 
8.2%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 43
100.0%
Hangul
ValueCountFrequency (%)
스 23
 
5.4%
주 23
 
5.4%
에 20
 
4.7%
이 14
 
3.3%
업 12
 
2.8%
산 10
 
2.4%
한 10
 
2.4%
엔 9
 
2.1%
우 9
 
2.1%
티 7
 
1.6%
Other values (134) 288
67.8%
ASCII
ValueCountFrequency (%)
) 19
45.2%
7
 
16.7%
( 6
 
14.3%
D 2
 
4.8%
B 1
 
2.4%
C 1
 
2.4%
S 1
 
2.4%
J 1
 
2.4%
E 1
 
2.4%
P 1
 
2.4%
Other values (2) 2
 
4.8%

설립일자
Date

Distinct80
Distinct (%)95.2%
Missing0
Missing (%)0.0%
Memory size804.0 B
Minimum1988-08-15 00:00:00
Maximum2022-08-22 00:00:00
2024-01-10T06:25:52.675728image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:25:52.786874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

전화번호
Text

MISSING 

Distinct78
Distinct (%)96.3%
Missing3
Missing (%)3.6%
Memory size804.0 B
2024-01-10T06:25:52.975164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.962963
Min length9

Characters and Unicode

Total characters969
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

Unique76 ?
Unique (%)93.8%

Sample

1st row041-750-5101
2nd row041-754-6672
3rd row041-751-4400
4th row041-751-1051
5th row041-751-3205
ValueCountFrequency (%)
041-752-1029 3
 
3.7%
041-754-3394 2
 
2.5%
042-544-3350 1
 
1.2%
041-753-5941 1
 
1.2%
041-751-1470 1
 
1.2%
041-751-9199 1
 
1.2%
041-752-0399 1
 
1.2%
041-751-4803 1
 
1.2%
041-754-0501 1
 
1.2%
041-751-6262 1
 
1.2%
Other values (68) 68
84.0%
2024-01-10T06:25:53.286268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 160
16.5%
0 147
15.2%
1 137
14.1%
4 128
13.2%
7 110
11.4%
5 110
11.4%
2 51
 
5.3%
3 41
 
4.2%
9 33
 
3.4%
8 28
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 809
83.5%
Dash Punctuation 160
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 147
18.2%
1 137
16.9%
4 128
15.8%
7 110
13.6%
5 110
13.6%
2 51
 
6.3%
3 41
 
5.1%
9 33
 
4.1%
8 28
 
3.5%
6 24
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 160
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 969
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 160
16.5%
0 147
15.2%
1 137
14.1%
4 128
13.2%
7 110
11.4%
5 110
11.4%
2 51
 
5.3%
3 41
 
4.2%
9 33
 
3.4%
8 28
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 969
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 160
16.5%
0 147
15.2%
1 137
14.1%
4 128
13.2%
7 110
11.4%
5 110
11.4%
2 51
 
5.3%
3 41
 
4.2%
9 33
 
3.4%
8 28
 
2.9%

종업원수
Real number (ℝ)

HIGH CORRELATION  MISSING 

Distinct38
Distinct (%)46.3%
Missing2
Missing (%)2.4%
Infinite0
Infinite (%)0.0%
Mean53.170732
Minimum1
Maximum2978
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size888.0 B
2024-01-10T06:25:53.395283image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q16.25
median13
Q324
95-th percentile45.65
Maximum2978
Range2977
Interquartile range (IQR)17.75

Descriptive statistics

Standard deviation327.35388
Coefficient of variation (CV)6.1566556
Kurtosis81.612907
Mean53.170732
Median Absolute Deviation (MAD)9
Skewness9.0239744
Sum4360
Variance107160.56
MonotonicityNot monotonic
2024-01-10T06:25:53.488749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=38)
ValueCountFrequency (%)
3 9
 
10.7%
13 5
 
6.0%
2 4
 
4.8%
24 4
 
4.8%
12 3
 
3.6%
7 3
 
3.6%
9 3
 
3.6%
10 3
 
3.6%
8 3
 
3.6%
25 3
 
3.6%
Other values (28) 42
50.0%
ValueCountFrequency (%)
1 2
 
2.4%
2 4
4.8%
3 9
10.7%
4 3
 
3.6%
5 1
 
1.2%
6 2
 
2.4%
7 3
 
3.6%
8 3
 
3.6%
9 3
 
3.6%
10 3
 
3.6%
ValueCountFrequency (%)
2978 1
1.2%
102 1
1.2%
66 1
1.2%
49 1
1.2%
46 1
1.2%
39 1
1.2%
36 1
1.2%
35 2
2.4%
34 1
1.2%
30 2
2.4%

공장대표주소
Text

Distinct78
Distinct (%)92.9%
Missing0
Missing (%)0.0%
Memory size804.0 B
2024-01-10T06:25:53.706255image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length24
Mean length21.928571
Min length18

Characters and Unicode

Total characters1842
Distinct characters44
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

Unique74 ?
Unique (%)88.1%

Sample

1st row충청남도 금산군 제원면 금강로 1
2nd row충청남도 금산군 금성면 금성공단로 68
3rd row충청남도 금산군 금성면 금성공단로 5-8
4th row충청남도 금산군 금성면 금성공단로 49
5th row충청남도 금산군 금성면 금성공단로 66
ValueCountFrequency (%)
충청남도 84
20.0%
금산군 84
20.0%
추부면 35
 
8.3%
신평공단1로 34
 
8.1%
금성면 24
 
5.7%
금성공단로 24
 
5.7%
복수면 17
 
4.0%
복수공단길 15
 
3.6%
부리면 7
 
1.7%
인삼약초공단로 5
 
1.2%
Other values (74) 92
21.9%
2024-01-10T06:25:53.997906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
339
18.4%
금 133
 
7.2%
충 84
 
4.6%
산 84
 
4.6%
면 84
 
4.6%
군 84
 
4.6%
청 84
 
4.6%
도 84
 
4.6%
남 84
 
4.6%
공 81
 
4.4%
Other values (34) 701
38.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1270
68.9%
Space Separator 339
 
18.4%
Decimal Number 225
 
12.2%
Dash Punctuation 7
 
0.4%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
금 133
 
10.5%
충 84
 
6.6%
산 84
 
6.6%
면 84
 
6.6%
군 84
 
6.6%
청 84
 
6.6%
도 84
 
6.6%
남 84
 
6.6%
공 81
 
6.4%
단 81
 
6.4%
Other values (21) 387
30.5%
Decimal Number
ValueCountFrequency (%)
1 79
35.1%
2 26
 
11.6%
4 21
 
9.3%
0 21
 
9.3%
5 20
 
8.9%
6 19
 
8.4%
9 13
 
5.8%
3 12
 
5.3%
7 8
 
3.6%
8 6
 
2.7%
Space Separator
ValueCountFrequency (%)
339
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1270
68.9%
Common 572
31.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
금 133
 
10.5%
충 84
 
6.6%
산 84
 
6.6%
면 84
 
6.6%
군 84
 
6.6%
청 84
 
6.6%
도 84
 
6.6%
남 84
 
6.6%
공 81
 
6.4%
단 81
 
6.4%
Other values (21) 387
30.5%
Common
ValueCountFrequency (%)
339
59.3%
1 79
 
13.8%
2 26
 
4.5%
4 21
 
3.7%
0 21
 
3.7%
5 20
 
3.5%
6 19
 
3.3%
9 13
 
2.3%
3 12
 
2.1%
7 8
 
1.4%
Other values (3) 14
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1270
68.9%
ASCII 572
31.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
339
59.3%
1 79
 
13.8%
2 26
 
4.5%
4 21
 
3.7%
0 21
 
3.7%
5 20
 
3.5%
6 19
 
3.3%
9 13
 
2.3%
3 12
 
2.1%
7 8
 
1.4%
Other values (3) 14
 
2.4%
Hangul
ValueCountFrequency (%)
금 133
 
10.5%
충 84
 
6.6%
산 84
 
6.6%
면 84
 
6.6%
군 84
 
6.6%
청 84
 
6.6%
도 84
 
6.6%
남 84
 
6.6%
공 81
 
6.4%
단 81
 
6.4%
Other values (21) 387
30.5%

생산품
Text

Distinct79
Distinct (%)94.0%
Missing0
Missing (%)0.0%
Memory size804.0 B
2024-01-10T06:25:54.221140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length6.8452381
Min length2

Characters and Unicode

Total characters575
Distinct characters181
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)89.3%

Sample

1st row타이어
2nd row전기절연커버
3rd row홍삼액
4th row수도계량기, 보호통
5th row플라스틱 성형용기
ValueCountFrequency (%)
건강기능식품 3
 
2.3%
등 3
 
2.3%
및 3
 
2.3%
젤리류 2
 
1.6%
종이제품 2
 
1.6%
폴리올 2
 
1.6%
홍삼액 2
 
1.6%
보행형관리기 2
 
1.6%
방송장비 2
 
1.6%
부직포 2
 
1.6%
Other values (102) 105
82.0%
2024-01-10T06:25:54.600809image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
44
 
7.7%
기 30
 
5.2%
, 23
 
4.0%
품 19
 
3.3%
자 14
 
2.4%
재 13
 
2.3%
리 10
 
1.7%
제 10
 
1.7%
용 10
 
1.7%
장 9
 
1.6%
Other values (171) 393
68.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 498
86.6%
Space Separator 44
 
7.7%
Other Punctuation 23
 
4.0%
Uppercase Letter 6
 
1.0%
Open Punctuation 2
 
0.3%
Close Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 30
 
6.0%
품 19
 
3.8%
자 14
 
2.8%
재 13
 
2.6%
리 10
 
2.0%
제 10
 
2.0%
용 10
 
2.0%
장 9
 
1.8%
삼 9
 
1.8%
스 9
 
1.8%
Other values (162) 365
73.3%
Uppercase Letter
ValueCountFrequency (%)
C 2
33.3%
V 1
16.7%
T 1
16.7%
E 1
16.7%
P 1
16.7%
Space Separator
ValueCountFrequency (%)
44
100.0%
Other Punctuation
ValueCountFrequency (%)
, 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 498
86.6%
Common 71
 
12.3%
Latin 6
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 30
 
6.0%
품 19
 
3.8%
자 14
 
2.8%
재 13
 
2.6%
리 10
 
2.0%
제 10
 
2.0%
용 10
 
2.0%
장 9
 
1.8%
삼 9
 
1.8%
스 9
 
1.8%
Other values (162) 365
73.3%
Latin
ValueCountFrequency (%)
C 2
33.3%
V 1
16.7%
T 1
16.7%
E 1
16.7%
P 1
16.7%
Common
ValueCountFrequency (%)
44
62.0%
, 23
32.4%
( 2
 
2.8%
) 2
 
2.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 498
86.6%
ASCII 77
 
13.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
44
57.1%
, 23
29.9%
( 2
 
2.6%
) 2
 
2.6%
C 2
 
2.6%
V 1
 
1.3%
T 1
 
1.3%
E 1
 
1.3%
P 1
 
1.3%
Hangul
ValueCountFrequency (%)
기 30
 
6.0%
품 19
 
3.8%
자 14
 
2.8%
재 13
 
2.6%
리 10
 
2.0%
제 10
 
2.0%
용 10
 
2.0%
장 9
 
1.8%
삼 9
 
1.8%
스 9
 
1.8%
Other values (162) 365
73.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size804.0 B
2023-09-25
84 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-25
2nd row2023-09-25
3rd row2023-09-25
4th row2023-09-25
5th row2023-09-25

Common Values

ValueCountFrequency (%)
2023-09-25 84
100.0%

Length

2024-01-10T06:25:54.703365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:25:54.776994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-25 84
100.0%

Interactions

2024-01-10T06:25:51.063574image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:25:50.888398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:25:51.373516image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:25:50.973829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:25:54.828000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번산업단지명회사명설립일자전화번호종업원수공장대표주소생산품
순번1.0000.9741.0000.6730.9360.0000.9670.877
산업단지명0.9741.0001.0000.8491.0001.0001.0000.811
회사명1.0001.0001.0001.0001.0001.0001.0001.000
설립일자0.6730.8491.0001.0000.9951.0000.9820.978
전화번호0.9361.0001.0000.9951.0001.0000.9990.995
종업원수0.0001.0001.0001.0001.0001.0001.0001.000
공장대표주소0.9671.0001.0000.9820.9991.0001.0000.991
생산품0.8770.8111.0000.9780.9951.0000.9911.000
2024-01-10T06:25:54.915583image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번종업원수산업단지명
순번1.000-0.0290.749
종업원수-0.0291.0000.981
산업단지명0.7490.9811.000

Missing values

2024-01-10T06:25:51.462396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:25:51.561127image/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.
2024-01-10T06:25:51.636790image/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

순번산업단지명회사명설립일자전화번호종업원수공장대표주소생산품데이터기준일자
01금산일반산업단지한국타이어㈜ 금산공장1995-02-16041-750-51012978충청남도 금산군 제원면 금강로 1타이어2023-09-25
12금성농공단지태형산업㈜1997-11-26041-754-667213충청남도 금산군 금성면 금성공단로 68전기절연커버2023-09-25
23금성농공단지한국생약영농조합법인2003-07-29041-751-44007충청남도 금산군 금성면 금성공단로 5-8홍삼액2023-09-25
34금성농공단지㈜한영계기1989-07-01041-751-10519충청남도 금산군 금성면 금성공단로 49수도계량기, 보호통2023-09-25
45금성농공단지㈜부광케미컬1996-05-01041-751-320523충청남도 금산군 금성면 금성공단로 66플라스틱 성형용기2023-09-25
56금성농공단지㈜한국농기계2022-01-02041-751-040110충청남도 금산군 금성면 금성공단로 5-10보행형관리기, 농기계2023-09-25
67금성농공단지구안산업㈜1997-03-18041-754-62579충청남도 금산군 금성면 금성공단로 23인삼차, 홍삼액2023-09-25
78금성농공단지㈜그린퓨어제지1997-05-201544-09598충청남도 금산군 금성면 금성공단로 90위생용 종이제품2023-09-25
89금성농공단지㈜이에스에프씨티1994-06-01041-754-789125충청남도 금산군 금성면 금성공단로 31표면처리재2023-09-25
910금성농공단지안성공업㈜1993-03-23041-752-96077충청남도 금산군 금성면 금성공단로 52플러그핀2023-09-25
순번산업단지명회사명설립일자전화번호종업원수공장대표주소생산품데이터기준일자
7473추부농공단지경동한방제약㈜2022-03-02041-752-50668충청남도 금산군 추부면 신평공단로 55-5홍삼즙, 건강 기능식품2023-09-25
7574추부농공단지제이앤에스산업2022-06-13<NA>3충청남도 금산군 추부면 신평공단1로 115, 2동건축자재 등2023-09-25
7675추부농공단지인우에코본㈜2022-01-28041-752-10293충청남도 금산군 추부면 신평공단1로 129난방기기, 인덕션(전기)보일러2023-09-25
7776인삼약초특화농공단지㈜명품코리아2015-05-20041-754-082117충청남도 금산군 부리면 인삼약초공단1로 27CCTV, 방송장비2023-09-25
7877인삼약초특화농공단지농업회사법인 금산흑삼㈜2015-08-25041-754-089329충청남도 금산군 부리면 인삼약초공단로 15흑삼2023-09-25
7978인삼약초특화농공단지농업회사법인 ㈜주안푸드2017-10-19041-752-175013충청남도 금산군 부리면 인삼약초공단1길 17도시락2023-09-25
8079인삼약초특화농공단지경방신약㈜2019-09-16041-751-565066충청남도 금산군 부리면 인삼약초공단로 27건강기능식품2023-09-25
8180인삼약초특화농공단지㈜다우에프에스2015-12-01041-751-061035충청남도 금산군 부리면 인삼약초공단로 6제과, 제빵 및 젤리류2023-09-25
8281인삼약초특화농공단지㈜다우엠에스2017-04-17041-751-552723충청남도 금산군 부리면 인삼약초공단로 16젤리류2023-09-25
8382인삼약초특화농공단지성수바이오텍㈜2016-06-23041-751-36393충청남도 금산군 부리면 인삼약초공단로 20인삼분말, 홍삼분말2023-09-25