Overview

Dataset statistics

Number of variables9
Number of observations71
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.3 KiB
Average record size in memory75.9 B

Variable types

Numeric2
Categorical1
Text4
DateTime2

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
순번 has unique valuesUnique
회사명 has unique valuesUnique
전화번호 has unique valuesUnique

Reproduction

Analysis started2024-01-09 21:25:45.035983
Analysis finished2024-01-09 21:25:46.080888
Duration1.04 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean36
Minimum1
Maximum71
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-01-10T06:25:46.138522image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.5
Q118.5
median36
Q353.5
95-th percentile67.5
Maximum71
Range70
Interquartile range (IQR)35

Descriptive statistics

Standard deviation20.639767
Coefficient of variation (CV)0.57332687
Kurtosis-1.2
Mean36
Median Absolute Deviation (MAD)18
Skewness0
Sum2556
Variance426
MonotonicityStrictly increasing
2024-01-10T06:25:46.247249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
2 1
 
1.4%
53 1
 
1.4%
52 1
 
1.4%
51 1
 
1.4%
50 1
 
1.4%
49 1
 
1.4%
48 1
 
1.4%
47 1
 
1.4%
46 1
 
1.4%
Other values (61) 61
85.9%
ValueCountFrequency (%)
1 1
1.4%
2 1
1.4%
3 1
1.4%
4 1
1.4%
5 1
1.4%
6 1
1.4%
7 1
1.4%
8 1
1.4%
9 1
1.4%
10 1
1.4%
ValueCountFrequency (%)
71 1
1.4%
70 1
1.4%
69 1
1.4%
68 1
1.4%
67 1
1.4%
66 1
1.4%
65 1
1.4%
64 1
1.4%
63 1
1.4%
62 1
1.4%

산업단지명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)7.0%
Missing0
Missing (%)0.0%
Memory size700.0 B
추부농공단지
28 
금성농공단지
22 
복수농공단지
14 
인삼약초특화농공단지
6 
금산일반산업단지
 
1

Length

Max length10
Median length6
Mean length6.3661972
Min length6

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
추부농공단지 28
39.4%
금성농공단지 22
31.0%
복수농공단지 14
19.7%
인삼약초특화농공단지 6
 
8.5%
금산일반산업단지 1
 
1.4%

Length

2024-01-10T06:25:46.389237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:25:46.508866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
추부농공단지 28
39.4%
금성농공단지 22
31.0%
복수농공단지 14
19.7%
인삼약초특화농공단지 6
 
8.5%
금산일반산업단지 1
 
1.4%

회사명
Text

UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size700.0 B
2024-01-10T06:25:46.743507image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length6.0985915
Min length3

Characters and Unicode

Total characters433
Distinct characters147
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

Unique71 ?
Unique (%)100.0%

Sample

1st row한국타이어㈜ 금산공장
2nd row태형산업㈜
3rd row한국생약영농조합법인
4th row㈜한영계기
5th row㈜부광케미컬
ValueCountFrequency (%)
농업회사법인 2
 
2.6%
한국타이어㈜ 1
 
1.3%
js산업 1
 
1.3%
주)미래기전 1
 
1.3%
주)더드림솔루션 1
 
1.3%
주)에스코알티에스 1
 
1.3%
진테크 1
 
1.3%
c 1
 
1.3%
d 1
 
1.3%
주)b 1
 
1.3%
Other values (67) 67
85.9%
2024-01-10T06:25:47.058346image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
㈜ 33
 
7.6%
주 25
 
5.8%
) 19
 
4.4%
스 18
 
4.2%
에 16
 
3.7%
업 12
 
2.8%
산 9
 
2.1%
엔 8
 
1.8%
우 8
 
1.8%
티 7
 
1.6%
Other values (137) 278
64.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 358
82.7%
Other Symbol 33
 
7.6%
Close Punctuation 19
 
4.4%
Uppercase Letter 9
 
2.1%
Space Separator 7
 
1.6%
Open Punctuation 6
 
1.4%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
주 25
 
7.0%
스 18
 
5.0%
에 16
 
4.5%
업 12
 
3.4%
산 9
 
2.5%
엔 8
 
2.2%
우 8
 
2.2%
티 7
 
2.0%
이 7
 
2.0%
한 7
 
2.0%
Other values (124) 241
67.3%
Uppercase Letter
ValueCountFrequency (%)
D 2
22.2%
J 1
11.1%
C 1
11.1%
S 1
11.1%
B 1
11.1%
E 1
11.1%
P 1
11.1%
I 1
11.1%
Other Symbol
ValueCountFrequency (%)
㈜ 33
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 391
90.3%
Common 33
 
7.6%
Latin 9
 
2.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
㈜ 33
 
8.4%
주 25
 
6.4%
스 18
 
4.6%
에 16
 
4.1%
업 12
 
3.1%
산 9
 
2.3%
엔 8
 
2.0%
우 8
 
2.0%
티 7
 
1.8%
이 7
 
1.8%
Other values (125) 248
63.4%
Latin
ValueCountFrequency (%)
D 2
22.2%
J 1
11.1%
C 1
11.1%
S 1
11.1%
B 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 358
82.7%
ASCII 42
 
9.7%
None 33
 
7.6%

Most frequent character per block

None
ValueCountFrequency (%)
㈜ 33
100.0%
Hangul
ValueCountFrequency (%)
주 25
 
7.0%
스 18
 
5.0%
에 16
 
4.5%
업 12
 
3.4%
산 9
 
2.5%
엔 8
 
2.2%
우 8
 
2.2%
티 7
 
2.0%
이 7
 
2.0%
한 7
 
2.0%
Other values (124) 241
67.3%
ASCII
ValueCountFrequency (%)
) 19
45.2%
7
 
16.7%
( 6
 
14.3%
D 2
 
4.8%
J 1
 
2.4%
C 1
 
2.4%
S 1
 
2.4%
B 1
 
2.4%
E 1
 
2.4%
P 1
 
2.4%
Other values (2) 2
 
4.8%

설립일자
Date

Distinct68
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size700.0 B
Minimum1988-08-15 00:00:00
Maximum2019-09-16 00:00:00
2024-01-10T06:25:47.168606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:25:47.303235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

전화번호
Text

UNIQUE 

Distinct71
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size700.0 B
2024-01-10T06:25:47.533948image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.943662
Min length9

Characters and Unicode

Total characters848
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

Unique71 ?
Unique (%)100.0%

Sample

1st row041-750-5101
2nd row041-754-6672
3rd row041-751-4400
4th row041-751-1051
5th row041-751-3205
ValueCountFrequency (%)
041-750-5101 1
 
1.4%
041-751-4479 1
 
1.4%
041-751-9199 1
 
1.4%
041-752-0399 1
 
1.4%
041-751-4803 1
 
1.4%
041-754-0501 1
 
1.4%
041-751-6262 1
 
1.4%
041-752-1022 1
 
1.4%
041-751-9599 1
 
1.4%
041-753-5790 1
 
1.4%
Other values (61) 61
85.9%
2024-01-10T06:25:47.848832image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 140
16.5%
0 126
14.9%
1 118
13.9%
4 113
13.3%
7 101
11.9%
5 93
11.0%
2 48
 
5.7%
3 32
 
3.8%
8 30
 
3.5%
9 27
 
3.2%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 708
83.5%
Dash Punctuation 140
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 126
17.8%
1 118
16.7%
4 113
16.0%
7 101
14.3%
5 93
13.1%
2 48
 
6.8%
3 32
 
4.5%
8 30
 
4.2%
9 27
 
3.8%
6 20
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 140
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 848
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 140
16.5%
0 126
14.9%
1 118
13.9%
4 113
13.3%
7 101
11.9%
5 93
11.0%
2 48
 
5.7%
3 32
 
3.8%
8 30
 
3.5%
9 27
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 848
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 140
16.5%
0 126
14.9%
1 118
13.9%
4 113
13.3%
7 101
11.9%
5 93
11.0%
2 48
 
5.7%
3 32
 
3.8%
8 30
 
3.5%
9 27
 
3.2%

종업원수
Real number (ℝ)

HIGH CORRELATION 

Distinct39
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.366197
Minimum1
Maximum2978
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size771.0 B
2024-01-10T06:25:47.967665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18.5
median16
Q324.5
95-th percentile47.5
Maximum2978
Range2977
Interquartile range (IQR)16

Descriptive statistics

Standard deviation351.5789
Coefficient of variation (CV)5.8241021
Kurtosis70.686112
Mean60.366197
Median Absolute Deviation (MAD)8
Skewness8.3988298
Sum4286
Variance123607.72
MonotonicityNot monotonic
2024-01-10T06:25:48.098037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
13 6
 
8.5%
9 4
 
5.6%
2 4
 
5.6%
7 3
 
4.2%
18 3
 
4.2%
3 3
 
4.2%
24 3
 
4.2%
10 2
 
2.8%
16 2
 
2.8%
35 2
 
2.8%
Other values (29) 39
54.9%
ValueCountFrequency (%)
1 2
2.8%
2 4
5.6%
3 3
4.2%
4 2
2.8%
5 1
 
1.4%
6 2
2.8%
7 3
4.2%
8 1
 
1.4%
9 4
5.6%
10 2
2.8%
ValueCountFrequency (%)
2978 1
1.4%
102 1
1.4%
66 1
1.4%
49 1
1.4%
46 1
1.4%
41 1
1.4%
39 1
1.4%
36 1
1.4%
35 2
2.8%
34 1
1.4%

공장대표주소
Text

Distinct70
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size700.0 B
2024-01-10T06:25:48.313169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length21.816901
Min length18

Characters and Unicode

Total characters1549
Distinct characters39
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

Unique69 ?
Unique (%)97.2%

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 71
20.0%
금산군 71
20.0%
추부면 28
 
7.9%
신평공단1로 28
 
7.9%
금성면 22
 
6.2%
금성공단로 22
 
6.2%
복수면 14
 
3.9%
복수공단길 14
 
3.9%
부리면 6
 
1.7%
인삼약초공단로 4
 
1.1%
Other values (66) 75
21.1%
2024-01-10T06:25:48.596691image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
284
18.3%
금 116
 
7.5%
충 71
 
4.6%
면 71
 
4.6%
남 71
 
4.6%
도 71
 
4.6%
산 71
 
4.6%
군 71
 
4.6%
청 71
 
4.6%
공 70
 
4.5%
Other values (29) 582
37.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1075
69.4%
Space Separator 284
 
18.3%
Decimal Number 185
 
11.9%
Dash Punctuation 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
금 116
 
10.8%
충 71
 
6.6%
면 71
 
6.6%
남 71
 
6.6%
도 71
 
6.6%
산 71
 
6.6%
군 71
 
6.6%
청 71
 
6.6%
공 70
 
6.5%
단 70
 
6.5%
Other values (17) 322
30.0%
Decimal Number
ValueCountFrequency (%)
1 62
33.5%
2 21
 
11.4%
4 20
 
10.8%
0 18
 
9.7%
6 18
 
9.7%
5 14
 
7.6%
9 10
 
5.4%
7 9
 
4.9%
3 9
 
4.9%
8 4
 
2.2%
Space Separator
ValueCountFrequency (%)
284
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1075
69.4%
Common 474
30.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
금 116
 
10.8%
충 71
 
6.6%
면 71
 
6.6%
남 71
 
6.6%
도 71
 
6.6%
산 71
 
6.6%
군 71
 
6.6%
청 71
 
6.6%
공 70
 
6.5%
단 70
 
6.5%
Other values (17) 322
30.0%
Common
ValueCountFrequency (%)
284
59.9%
1 62
 
13.1%
2 21
 
4.4%
4 20
 
4.2%
0 18
 
3.8%
6 18
 
3.8%
5 14
 
3.0%
9 10
 
2.1%
7 9
 
1.9%
3 9
 
1.9%
Other values (2) 9
 
1.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1075
69.4%
ASCII 474
30.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
284
59.9%
1 62
 
13.1%
2 21
 
4.4%
4 20
 
4.2%
0 18
 
3.8%
6 18
 
3.8%
5 14
 
3.0%
9 10
 
2.1%
7 9
 
1.9%
3 9
 
1.9%
Other values (2) 9
 
1.9%
Hangul
ValueCountFrequency (%)
금 116
 
10.8%
충 71
 
6.6%
면 71
 
6.6%
남 71
 
6.6%
도 71
 
6.6%
산 71
 
6.6%
군 71
 
6.6%
청 71
 
6.6%
공 70
 
6.5%
단 70
 
6.5%
Other values (17) 322
30.0%

생산품
Text

Distinct69
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size700.0 B
2024-01-10T06:25:48.816772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length10
Mean length6.2112676
Min length2

Characters and Unicode

Total characters441
Distinct characters158
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

Unique67 ?
Unique (%)94.4%

Sample

1st row타이어
2nd row전기절연커버
3rd row홍삼액
4th row수도계량기, 보호통
5th row플라스틱 성형용기
ValueCountFrequency (%)
및 3
 
2.9%
건강기능식품 2
 
1.9%
홍삼액 2
 
1.9%
종이상자 2
 
1.9%
방송장비 2
 
1.9%
부직포 2
 
1.9%
젤리류 2
 
1.9%
자동차부품 1
 
1.0%
철강재 1
 
1.0%
지붕재 1
 
1.0%
Other values (85) 85
82.5%
2024-01-10T06:25:49.143779image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
32
 
7.3%
기 21
 
4.8%
, 17
 
3.9%
품 17
 
3.9%
재 10
 
2.3%
용 9
 
2.0%
자 9
 
2.0%
제 9
 
2.0%
장 8
 
1.8%
부 7
 
1.6%
Other values (148) 302
68.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 384
87.1%
Space Separator 32
 
7.3%
Other Punctuation 17
 
3.9%
Uppercase Letter 6
 
1.4%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
기 21
 
5.5%
품 17
 
4.4%
재 10
 
2.6%
용 9
 
2.3%
자 9
 
2.3%
제 9
 
2.3%
장 8
 
2.1%
부 7
 
1.8%
이 6
 
1.6%
지 6
 
1.6%
Other values (139) 282
73.4%
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 (%)
32
100.0%
Other Punctuation
ValueCountFrequency (%)
, 17
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 384
87.1%
Common 51
 
11.6%
Latin 6
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
기 21
 
5.5%
품 17
 
4.4%
재 10
 
2.6%
용 9
 
2.3%
자 9
 
2.3%
제 9
 
2.3%
장 8
 
2.1%
부 7
 
1.8%
이 6
 
1.6%
지 6
 
1.6%
Other values (139) 282
73.4%
Latin
ValueCountFrequency (%)
C 2
33.3%
V 1
16.7%
T 1
16.7%
E 1
16.7%
P 1
16.7%
Common
ValueCountFrequency (%)
32
62.7%
, 17
33.3%
) 1
 
2.0%
( 1
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 384
87.1%
ASCII 57
 
12.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
32
56.1%
, 17
29.8%
C 2
 
3.5%
V 1
 
1.8%
T 1
 
1.8%
) 1
 
1.8%
( 1
 
1.8%
E 1
 
1.8%
P 1
 
1.8%
Hangul
ValueCountFrequency (%)
기 21
 
5.5%
품 17
 
4.4%
재 10
 
2.6%
용 9
 
2.3%
자 9
 
2.3%
제 9
 
2.3%
장 8
 
2.1%
부 7
 
1.8%
이 6
 
1.6%
지 6
 
1.6%
Other values (139) 282
73.4%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size700.0 B
Minimum2021-02-02 00:00:00
Maximum2021-02-02 00:00:00
2024-01-10T06:25:49.234451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:25:49.303029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-01-10T06:25:45.732740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:25:45.583715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:25:45.824745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:25:45.652237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:25:49.361829image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번산업단지명회사명설립일자전화번호종업원수공장대표주소생산품
순번1.0000.9771.0000.8011.0000.0871.0000.875
산업단지명0.9771.0001.0000.6571.0001.0001.0000.346
회사명1.0001.0001.0001.0001.0001.0001.0001.000
설립일자0.8010.6571.0001.0001.0001.0000.9970.991
전화번호1.0001.0001.0001.0001.0001.0001.0001.000
종업원수0.0871.0001.0001.0001.0001.0001.0001.000
공장대표주소1.0001.0001.0000.9971.0001.0001.0000.994
생산품0.8750.3461.0000.9911.0001.0000.9941.000
2024-01-10T06:25:49.455075image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번종업원수산업단지명
순번1.0000.0820.765
종업원수0.0821.0000.978
산업단지명0.7650.9781.000

Missing values

2024-01-10T06:25:45.936591image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:25:46.037082image/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

순번산업단지명회사명설립일자전화번호종업원수공장대표주소생산품데이터기준일자
01금산일반산업단지한국타이어㈜ 금산공장1995-02-16041-750-51012978충청남도 금산군 제원면 금강로 1타이어2021-02-02
12금성농공단지태형산업㈜1997-11-26041-754-667213충청남도 금산군 금성면 금성공단로 68전기절연커버2021-02-02
23금성농공단지한국생약영농조합법인2003-07-29041-751-44007충청남도 금산군 금성면 금성공단로 5-8홍삼액2021-02-02
34금성농공단지㈜한영계기1989-07-01041-751-10519충청남도 금산군 금성면 금성공단로 49수도계량기, 보호통2021-02-02
45금성농공단지㈜부광케미컬1996-05-01041-751-320523충청남도 금산군 금성면 금성공단로 66플라스틱 성형용기2021-02-02
56금성농공단지㈜옥마루2018-11-28041-751-89809충청남도 금산군 금성면 금성공단로 5-10돌침대2021-02-02
67금성농공단지구안산업㈜1997-03-18041-754-62579충청남도 금산군 금성면 금성공단로 23인삼차, 홍삼액2021-02-02
78금성농공단지㈜그린퓨어제지1997-05-201544-09598충청남도 금산군 금성면 금성공단로 90위생용 종이제품2021-02-02
89금성농공단지㈜이에스에프씨티1994-06-01041-754-789125충청남도 금산군 금성면 금성공단로 31표면처리재2021-02-02
910금성농공단지안성공업㈜1993-03-23041-752-96077충청남도 금산군 금성면 금성공단로 52플러그핀2021-02-02
순번산업단지명회사명설립일자전화번호종업원수공장대표주소생산품데이터기준일자
6162추부농공단지주)한일에스피2011-10-17041-754-072026충청남도 금산군 추부면 신평공단1로 21분무기, 노즐2021-02-02
6263추부농공단지주)세양2014-10-06041-754-835518충청남도 금산군 추부면 신평공단1로 20계란선별기2021-02-02
6364추부농공단지에스디(주2015-01-06041-752-68643충청남도 금산군 추부면 신평공단1로 109자동차부품 금속단자2021-02-02
6465추부농공단지지오엔에너지2019-01-28042-628-067516충청남도 금산군 추부면 신평공단1로 67전동기 및 발전기2021-02-02
6566인삼약초특화농공단지㈜명품코리아2015-05-20041-754-082117충청남도 금산군 부리면 인삼약초공단1로 27CCTV, 방송장비2021-02-02
6667인삼약초특화농공단지농업회사법인 금산흑삼㈜2015-08-25041-754-089329충청남도 금산군 부리면 인삼약초공단로 15흑삼2021-02-02
6768인삼약초특화농공단지농업회사법인 ㈜주안푸드2017-10-19041-752-175013충청남도 금산군 부리면 인삼약초공단1길 17도시락2021-02-02
6869인삼약초특화농공단지경방신약㈜2019-09-16041-751-565066충청남도 금산군 부리면 인삼약초공단로 27건강기능식품2021-02-02
6970인삼약초특화농공단지㈜다우에프에스2015-12-01041-751-061035충청남도 금산군 부리면 인삼약초공단로 6제과, 제빵 및 젤리류2021-02-02
7071인삼약초특화농공단지㈜다우엠에스2017-04-17041-751-552723충청남도 금산군 부리면 인삼약초공단로 16젤리류2021-02-02