Overview

Dataset statistics

Number of variables9
Number of observations68
Missing cells2
Missing cells (%)0.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.0 KiB
Average record size in memory75.9 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 2 (2.9%) missing valuesMissing
순번 has unique valuesUnique
회사명 has unique valuesUnique

Reproduction

Analysis started2024-01-09 21:25:55.597026
Analysis finished2024-01-09 21:25:56.604754
Duration1.01 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct68
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean34.5
Minimum1
Maximum68
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-01-10T06:25:56.659844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.35
Q117.75
median34.5
Q351.25
95-th percentile64.65
Maximum68
Range67
Interquartile range (IQR)33.5

Descriptive statistics

Standard deviation19.77372
Coefficient of variation (CV)0.5731513
Kurtosis-1.2
Mean34.5
Median Absolute Deviation (MAD)17
Skewness0
Sum2346
Variance391
MonotonicityStrictly increasing
2024-01-10T06:25:56.764974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
45 1
 
1.5%
51 1
 
1.5%
50 1
 
1.5%
49 1
 
1.5%
48 1
 
1.5%
47 1
 
1.5%
46 1
 
1.5%
44 1
 
1.5%
36 1
 
1.5%
Other values (58) 58
85.3%
ValueCountFrequency (%)
1 1
1.5%
2 1
1.5%
3 1
1.5%
4 1
1.5%
5 1
1.5%
6 1
1.5%
7 1
1.5%
8 1
1.5%
9 1
1.5%
10 1
1.5%
ValueCountFrequency (%)
68 1
1.5%
67 1
1.5%
66 1
1.5%
65 1
1.5%
64 1
1.5%
63 1
1.5%
62 1
1.5%
61 1
1.5%
60 1
1.5%
59 1
1.5%

산업단지명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)7.4%
Missing0
Missing (%)0.0%
Memory size676.0 B
추부농공단지
28 
금성농공단지
22 
복수농공단지
14 
인삼약초특화농공단지
금산일반산업단지
 
1

Length

Max length10
Median length6
Mean length6.2058824
Min length6

Unique

Unique1 ?
Unique (%)1.5%

Sample

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

Common Values

ValueCountFrequency (%)
추부농공단지 28
41.2%
금성농공단지 22
32.4%
복수농공단지 14
20.6%
인삼약초특화농공단지 3
 
4.4%
금산일반산업단지 1
 
1.5%

Length

2024-01-10T06:25:56.875172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:25:56.966986image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
추부농공단지 28
41.2%
금성농공단지 22
32.4%
복수농공단지 14
20.6%
인삼약초특화농공단지 3
 
4.4%
금산일반산업단지 1
 
1.5%

회사명
Text

UNIQUE 

Distinct68
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size676.0 B
2024-01-10T06:25:57.145642image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length6.0882353
Min length3

Characters and Unicode

Total characters414
Distinct characters144
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

Unique68 ?
Unique (%)100.0%

Sample

1st row한국타이어㈜ 금산공장
2nd row태형산업㈜
3rd row한국생약영농조합법인
4th row㈜한영계기
5th row㈜부광케미컬
ValueCountFrequency (%)
농업회사법인 2
 
2.7%
주)미래기전 1
 
1.3%
탑미트㈜ 1
 
1.3%
주)대덕바이오 1
 
1.3%
주)데버그린 1
 
1.3%
주)한밭 1
 
1.3%
㈜올앤원솔루션 1
 
1.3%
태형산업㈜ 1
 
1.3%
주)하나케미칼 1
 
1.3%
1
 
1.3%
Other values (64) 64
85.3%
2024-01-10T06:25:57.433696image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
29
 
7.0%
25
 
6.0%
) 19
 
4.6%
17
 
4.1%
13
 
3.1%
12
 
2.9%
9
 
2.2%
8
 
1.9%
7
 
1.7%
7
 
1.7%
Other values (134) 268
64.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 343
82.9%
Other Symbol 29
 
7.0%
Close Punctuation 19
 
4.6%
Uppercase Letter 9
 
2.2%
Space Separator 7
 
1.7%
Open Punctuation 6
 
1.4%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
25
 
7.3%
17
 
5.0%
13
 
3.8%
12
 
3.5%
9
 
2.6%
8
 
2.3%
7
 
2.0%
7
 
2.0%
6
 
1.7%
6
 
1.7%
Other values (121) 233
67.9%
Uppercase Letter
ValueCountFrequency (%)
D 2
22.2%
S 1
11.1%
C 1
11.1%
E 1
11.1%
P 1
11.1%
J 1
11.1%
B 1
11.1%
I 1
11.1%
Other Symbol
ValueCountFrequency (%)
29
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 372
89.9%
Common 33
 
8.0%
Latin 9
 
2.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
29
 
7.8%
25
 
6.7%
17
 
4.6%
13
 
3.5%
12
 
3.2%
9
 
2.4%
8
 
2.2%
7
 
1.9%
7
 
1.9%
6
 
1.6%
Other values (122) 239
64.2%
Latin
ValueCountFrequency (%)
D 2
22.2%
S 1
11.1%
C 1
11.1%
E 1
11.1%
P 1
11.1%
J 1
11.1%
B 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 343
82.9%
ASCII 42
 
10.1%
None 29
 
7.0%

Most frequent character per block

None
ValueCountFrequency (%)
29
100.0%
Hangul
ValueCountFrequency (%)
25
 
7.3%
17
 
5.0%
13
 
3.8%
12
 
3.5%
9
 
2.6%
8
 
2.3%
7
 
2.0%
7
 
2.0%
6
 
1.7%
6
 
1.7%
Other values (121) 233
67.9%
ASCII
ValueCountFrequency (%)
) 19
45.2%
7
 
16.7%
( 6
 
14.3%
D 2
 
4.8%
S 1
 
2.4%
C 1
 
2.4%
E 1
 
2.4%
P 1
 
2.4%
J 1
 
2.4%
B 1
 
2.4%
Other values (2) 2
 
4.8%
Distinct66
Distinct (%)97.1%
Missing0
Missing (%)0.0%
Memory size676.0 B
Minimum1988-08-15 00:00:00
Maximum2019-01-28 00:00:00
2024-01-10T06:25:57.541776image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:25:57.645128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

전화번호
Text

MISSING 

Distinct65
Distinct (%)98.5%
Missing2
Missing (%)2.9%
Memory size676.0 B
2024-01-10T06:25:57.837069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.984848
Min length9

Characters and Unicode

Total characters791
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

Unique64 ?
Unique (%)97.0%

Sample

1st row041-750-5101
2nd row041-754-6672
3rd row041-751-4400
4th row041-751-1051
5th row041-751-3205
ValueCountFrequency (%)
041-751-4511 2
 
3.0%
041-751-0893 1
 
1.5%
041-750-5101 1
 
1.5%
041-754-7041 1
 
1.5%
041-754-0501 1
 
1.5%
041-751-6262 1
 
1.5%
041-752-1022 1
 
1.5%
041-751-1470 1
 
1.5%
041-751-9599 1
 
1.5%
041-754-0704 1
 
1.5%
Other values (55) 55
83.3%
2024-01-10T06:25:58.360578image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 131
16.6%
1 117
14.8%
0 114
14.4%
4 108
13.7%
7 95
12.0%
5 85
10.7%
2 42
 
5.3%
3 30
 
3.8%
9 25
 
3.2%
8 24
 
3.0%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 660
83.4%
Dash Punctuation 131
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 117
17.7%
0 114
17.3%
4 108
16.4%
7 95
14.4%
5 85
12.9%
2 42
 
6.4%
3 30
 
4.5%
9 25
 
3.8%
8 24
 
3.6%
6 20
 
3.0%
Dash Punctuation
ValueCountFrequency (%)
- 131
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 791
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 131
16.6%
1 117
14.8%
0 114
14.4%
4 108
13.7%
7 95
12.0%
5 85
10.7%
2 42
 
5.3%
3 30
 
3.8%
9 25
 
3.2%
8 24
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 791
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 131
16.6%
1 117
14.8%
0 114
14.4%
4 108
13.7%
7 95
12.0%
5 85
10.7%
2 42
 
5.3%
3 30
 
3.8%
9 25
 
3.2%
8 24
 
3.0%

종업원수
Real number (ℝ)

HIGH CORRELATION 

Distinct35
Distinct (%)51.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean60.867647
Minimum1
Maximum2978
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size744.0 B
2024-01-10T06:25:58.468221image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q17
median14.5
Q324
95-th percentile40.3
Maximum2978
Range2977
Interquartile range (IQR)17

Descriptive statistics

Standard deviation359.35124
Coefficient of variation (CV)5.9038135
Kurtosis67.749377
Mean60.867647
Median Absolute Deviation (MAD)8
Skewness8.223953
Sum4139
Variance129133.31
MonotonicityNot monotonic
2024-01-10T06:25:58.568745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=35)
ValueCountFrequency (%)
13 6
 
8.8%
2 5
 
7.4%
9 4
 
5.9%
22 4
 
5.9%
7 3
 
4.4%
24 3
 
4.4%
3 3
 
4.4%
39 2
 
2.9%
5 2
 
2.9%
18 2
 
2.9%
Other values (25) 34
50.0%
ValueCountFrequency (%)
1 2
 
2.9%
2 5
7.4%
3 3
4.4%
4 1
 
1.5%
5 2
 
2.9%
6 2
 
2.9%
7 3
4.4%
8 1
 
1.5%
9 4
5.9%
10 1
 
1.5%
ValueCountFrequency (%)
2978 1
1.5%
102 1
1.5%
46 1
1.5%
41 1
1.5%
39 2
2.9%
36 1
1.5%
34 2
2.9%
30 1
1.5%
28 1
1.5%
27 1
1.5%
Distinct67
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size676.0 B
2024-01-10T06:25:58.763339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length21
Mean length19.779412
Min length16

Characters and Unicode

Total characters1345
Distinct characters37
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

Unique66 ?
Unique (%)97.1%

Sample

1st row충남 금산군 제원면 금강로 1
2nd row충남 금산군 금성면 금성공단로 68
3rd row충남 금산군 금성면 금성공단로 5-8
4th row충남 금산군 금성면 금성공단로 49
5th row충남 금산군 금성면 금성공단로 66
ValueCountFrequency (%)
충남 68
20.0%
금산군 68
20.0%
추부면 28
 
8.2%
신평공단1로 28
 
8.2%
금성면 22
 
6.5%
금성공단로 22
 
6.5%
복수공단길 14
 
4.1%
복수면 14
 
4.1%
부리면 3
 
0.9%
64 2
 
0.6%
Other values (65) 71
20.9%
2024-01-10T06:25:59.055984image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
272
20.2%
113
 
8.4%
68
 
5.1%
68
 
5.1%
68
 
5.1%
68
 
5.1%
68
 
5.1%
67
 
5.0%
67
 
5.0%
1 61
 
4.5%
Other values (27) 425
31.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 888
66.0%
Space Separator 272
 
20.2%
Decimal Number 180
 
13.4%
Dash Punctuation 5
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
113
12.7%
68
 
7.7%
68
 
7.7%
68
 
7.7%
68
 
7.7%
68
 
7.7%
67
 
7.5%
67
 
7.5%
53
 
6.0%
44
 
5.0%
Other values (15) 204
23.0%
Decimal Number
ValueCountFrequency (%)
1 61
33.9%
2 20
 
11.1%
4 20
 
11.1%
0 18
 
10.0%
6 16
 
8.9%
5 14
 
7.8%
9 10
 
5.6%
3 9
 
5.0%
7 8
 
4.4%
8 4
 
2.2%
Space Separator
ValueCountFrequency (%)
272
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 5
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 888
66.0%
Common 457
34.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
113
12.7%
68
 
7.7%
68
 
7.7%
68
 
7.7%
68
 
7.7%
68
 
7.7%
67
 
7.5%
67
 
7.5%
53
 
6.0%
44
 
5.0%
Other values (15) 204
23.0%
Common
ValueCountFrequency (%)
272
59.5%
1 61
 
13.3%
2 20
 
4.4%
4 20
 
4.4%
0 18
 
3.9%
6 16
 
3.5%
5 14
 
3.1%
9 10
 
2.2%
3 9
 
2.0%
7 8
 
1.8%
Other values (2) 9
 
2.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 888
66.0%
ASCII 457
34.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
272
59.5%
1 61
 
13.3%
2 20
 
4.4%
4 20
 
4.4%
0 18
 
3.9%
6 16
 
3.5%
5 14
 
3.1%
9 10
 
2.2%
3 9
 
2.0%
7 8
 
1.8%
Other values (2) 9
 
2.0%
Hangul
ValueCountFrequency (%)
113
12.7%
68
 
7.7%
68
 
7.7%
68
 
7.7%
68
 
7.7%
68
 
7.7%
67
 
7.5%
67
 
7.5%
53
 
6.0%
44
 
5.0%
Other values (15) 204
23.0%
Distinct67
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Memory size676.0 B
2024-01-10T06:25:59.280547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length9
Mean length6.1470588
Min length2

Characters and Unicode

Total characters418
Distinct characters157
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

Unique66 ?
Unique (%)97.1%

Sample

1st row타이어
2nd row전기절연커버
3rd row홍삼액
4th row수도계량기, 보호통
5th row플라스틱 성형용기
ValueCountFrequency (%)
종이상자 2
 
2.1%
홍삼액 2
 
2.1%
부직포 2
 
2.1%
방송장비 2
 
2.1%
살충재 1
 
1.0%
육류가공품 1
 
1.0%
비료 1
 
1.0%
인삼제품 1
 
1.0%
포장돈육 1
 
1.0%
당구용품(큐 1
 
1.0%
Other values (82) 82
85.4%
2024-01-10T06:25:59.615831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
28
 
6.7%
19
 
4.5%
, 18
 
4.3%
15
 
3.6%
10
 
2.4%
9
 
2.2%
9
 
2.2%
8
 
1.9%
7
 
1.7%
7
 
1.7%
Other values (147) 288
68.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 364
87.1%
Space Separator 28
 
6.7%
Other Punctuation 18
 
4.3%
Uppercase Letter 6
 
1.4%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
19
 
5.2%
15
 
4.1%
10
 
2.7%
9
 
2.5%
9
 
2.5%
8
 
2.2%
7
 
1.9%
7
 
1.9%
6
 
1.6%
6
 
1.6%
Other values (138) 268
73.6%
Uppercase Letter
ValueCountFrequency (%)
C 2
33.3%
T 1
16.7%
V 1
16.7%
E 1
16.7%
P 1
16.7%
Space Separator
ValueCountFrequency (%)
28
100.0%
Other Punctuation
ValueCountFrequency (%)
, 18
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 364
87.1%
Common 48
 
11.5%
Latin 6
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
19
 
5.2%
15
 
4.1%
10
 
2.7%
9
 
2.5%
9
 
2.5%
8
 
2.2%
7
 
1.9%
7
 
1.9%
6
 
1.6%
6
 
1.6%
Other values (138) 268
73.6%
Latin
ValueCountFrequency (%)
C 2
33.3%
T 1
16.7%
V 1
16.7%
E 1
16.7%
P 1
16.7%
Common
ValueCountFrequency (%)
28
58.3%
, 18
37.5%
( 1
 
2.1%
) 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 364
87.1%
ASCII 54
 
12.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
28
51.9%
, 18
33.3%
C 2
 
3.7%
( 1
 
1.9%
T 1
 
1.9%
V 1
 
1.9%
) 1
 
1.9%
E 1
 
1.9%
P 1
 
1.9%
Hangul
ValueCountFrequency (%)
19
 
5.2%
15
 
4.1%
10
 
2.7%
9
 
2.5%
9
 
2.5%
8
 
2.2%
7
 
1.9%
7
 
1.9%
6
 
1.6%
6
 
1.6%
Other values (138) 268
73.6%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size676.0 B
2020-02-10
68 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2020-02-10
2nd row2020-02-10
3rd row2020-02-10
4th row2020-02-10
5th row2020-02-10

Common Values

ValueCountFrequency (%)
2020-02-10 68
100.0%

Length

2024-01-10T06:25:59.720752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:25:59.793765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2020-02-10 68
100.0%

Interactions

2024-01-10T06:25:56.288534image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:25:56.155555image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:25:56.356744image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:25:56.223521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:25:59.841093image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번산업단지명회사명설립일자전화번호종업원수공장대표주소생산품
순번1.0000.9441.0000.9730.9360.0000.9400.940
산업단지명0.9441.0001.0000.0000.9331.0001.0000.921
회사명1.0001.0001.0001.0001.0001.0001.0001.000
설립일자0.9730.0001.0001.0000.9941.0000.9970.994
전화번호0.9360.9331.0000.9941.0001.0000.9980.998
종업원수0.0001.0001.0001.0001.0001.0001.0001.000
공장대표주소0.9401.0001.0000.9970.9981.0001.0000.998
생산품0.9400.9211.0000.9940.9981.0000.9981.000
2024-01-10T06:25:59.931186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번종업원수산업단지명
순번1.000-0.0370.651
종업원수-0.0371.0000.977
산업단지명0.6510.9771.000

Missing values

2024-01-10T06:25:56.448436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:25:56.561223image/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㈜ 금산공장1995-02-16041-750-51012978충남 금산군 제원면 금강로 1타이어2020-02-10
12금성농공단지태형산업㈜1997-11-26041-754-667213충남 금산군 금성면 금성공단로 68전기절연커버2020-02-10
23금성농공단지한국생약영농조합법인2003-07-29041-751-44007충남 금산군 금성면 금성공단로 5-8홍삼액2020-02-10
34금성농공단지㈜한영계기1989-07-01041-751-10519충남 금산군 금성면 금성공단로 49수도계량기, 보호통2020-02-10
45금성농공단지㈜부광케미컬1996-05-01041-751-320523충남 금산군 금성면 금성공단로 66플라스틱 성형용기2020-02-10
56금성농공단지㈜옥마루2018-11-28041-751-89809충남 금산군 금성면 금성공단로 5-10돌침대2020-02-10
67금성농공단지구안산업㈜1997-03-18041-754-62579충남 금산군 금성면 금성공단로 23인삼차, 홍삼액2020-02-10
78금성농공단지㈜그린퓨어제지1997-05-201544-09598충남 금산군 금성면 금성공단로 90위생용 종이제품2020-02-10
89금성농공단지㈜이에스에프씨티1994-06-01041-754-789125충남 금산군 금성면 금성공단로 31표면처리재2020-02-10
910금성농공단지안성공업㈜1993-03-23041-752-96077충남 금산군 금성면 금성공단로 52플러그핀2020-02-10
순번산업단지명회사명설립일자전화번호종업원수공장대표주소생산품데이터기준일자
5859추부농공단지주)티에스엔텍2008-10-28041-752-11205충남 금산군 추부면 신평공단1로 63송풍기, 여과기 등2020-02-10
5960추부농공단지에스엔에스 (주2013-07-19041-752-102919충남 금산군 추부면 신평공단1로 129선박용 주방기구2020-02-10
6061추부농공단지씨엔비산업(주2010-06-30041-753-172522충남 금산군 추부면 신평공단1로 69산업기계2020-02-10
6162추부농공단지주)한일에스피2011-10-17041-754-072026충남 금산군 추부면 신평공단1로 21분무기, 노즐2020-02-10
6263추부농공단지주)세양2014-10-06041-754-835518충남 금산군 추부면 신평공단1로 20계란선별기2020-02-10
6364추부농공단지에스디(주2015-01-06041-752-68643충남 금산군 추부면 신평공단1로 109자동차부품 금속단자2020-02-10
6465추부농공단지지오엔에너지2019-01-28042-628-067516충남 금산군 추부면 신평공단1로 67전동기 및 발전기2020-02-10
6566인삼약초특화농공단지㈜명품코리아2015-05-20041-754-082112충남 금산군 부리면 인삼약초공단1로 27CCTV, 방송장비2020-02-10
6667인삼약초특화농공단지농업회사법인 금산흑삼㈜2015-08-25041-751-089322충남 금산군 부리면 인삼약초공단로 15흑삼2020-02-10
6768인삼약초특화농공단지농업회사법인 ㈜주안푸드2017-10-19041-752-175011충남 금산군 부리면 인삼약초공단1길 17도시락2020-02-10