Overview

Dataset statistics

Number of variables9
Number of observations74
Missing cells1
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.5 KiB
Average record size in memory75.8 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
생산품 has 1 (1.4%) missing valuesMissing
순번 has unique valuesUnique
회사명 has unique valuesUnique

Reproduction

Analysis started2024-01-09 21:26:00.692762
Analysis finished2024-01-09 21:26:01.710069
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct74
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.5
Minimum1
Maximum74
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-01-10T06:26:01.765423image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.65
Q119.25
median37.5
Q355.75
95-th percentile70.35
Maximum74
Range73
Interquartile range (IQR)36.5

Descriptive statistics

Standard deviation21.505813
Coefficient of variation (CV)0.57348835
Kurtosis-1.2
Mean37.5
Median Absolute Deviation (MAD)18.5
Skewness0
Sum2775
Variance462.5
MonotonicityStrictly increasing
2024-01-10T06:26:01.877174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.4%
57 1
 
1.4%
55 1
 
1.4%
54 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%
Other values (64) 64
86.5%
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 (%)
74 1
1.4%
73 1
1.4%
72 1
1.4%
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%

산업단지명
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size724.0 B
추부농공단지
30 
금성농공단지
23 
복수농공단지
14 
인삼약초특화농공단지
금산일반산업단지
 
1

Length

Max length10
Median length6
Mean length6.3513514
Min length6

Unique

Unique1 ?
Unique (%)1.4%

Sample

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

Common Values

ValueCountFrequency (%)
추부농공단지 30
40.5%
금성농공단지 23
31.1%
복수농공단지 14
18.9%
인삼약초특화농공단지 6
 
8.1%
금산일반산업단지 1
 
1.4%

Length

2024-01-10T06:26:01.987365image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:26:02.077242image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
추부농공단지 30
40.5%
금성농공단지 23
31.1%
복수농공단지 14
18.9%
인삼약초특화농공단지 6
 
8.1%
금산일반산업단지 1
 
1.4%

회사명
Text

UNIQUE 

Distinct74
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size724.0 B
2024-01-10T06:26:02.268065image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length6.1081081
Min length3

Characters and Unicode

Total characters452
Distinct characters151
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

Unique74 ?
Unique (%)100.0%

Sample

1st row한국타이어㈜ 금산공장
2nd row태형산업㈜
3rd row한국생약영농조합법인
4th row㈜한영계기
5th row㈜부광케미컬
ValueCountFrequency (%)
농업회사법인 2
 
2.5%
한국타이어㈜ 1
 
1.2%
1
 
1.2%
주)에스코알티에스 1
 
1.2%
진테크 1
 
1.2%
c 1
 
1.2%
d 1
 
1.2%
주)b 1
 
1.2%
js산업 1
 
1.2%
주)세창실업 1
 
1.2%
Other values (70) 70
86.4%
2024-01-10T06:26:02.563069image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
37
 
8.2%
24
 
5.3%
21
 
4.6%
18
 
4.0%
) 18
 
4.0%
12
 
2.7%
9
 
2.0%
9
 
2.0%
8
 
1.8%
8
 
1.8%
Other values (141) 288
63.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 374
82.7%
Other Symbol 37
 
8.2%
Close Punctuation 18
 
4.0%
Uppercase Letter 9
 
2.0%
Space Separator 7
 
1.5%
Open Punctuation 6
 
1.3%
Other Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
24
 
6.4%
21
 
5.6%
18
 
4.8%
12
 
3.2%
9
 
2.4%
9
 
2.4%
8
 
2.1%
8
 
2.1%
7
 
1.9%
7
 
1.9%
Other values (128) 251
67.1%
Uppercase Letter
ValueCountFrequency (%)
D 2
22.2%
J 1
11.1%
C 1
11.1%
B 1
11.1%
S 1
11.1%
E 1
11.1%
P 1
11.1%
I 1
11.1%
Other Symbol
ValueCountFrequency (%)
37
100.0%
Close Punctuation
ValueCountFrequency (%)
) 18
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 411
90.9%
Common 32
 
7.1%
Latin 9
 
2.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
37
 
9.0%
24
 
5.8%
21
 
5.1%
18
 
4.4%
12
 
2.9%
9
 
2.2%
9
 
2.2%
8
 
1.9%
8
 
1.9%
7
 
1.7%
Other values (129) 258
62.8%
Latin
ValueCountFrequency (%)
D 2
22.2%
J 1
11.1%
C 1
11.1%
B 1
11.1%
S 1
11.1%
E 1
11.1%
P 1
11.1%
I 1
11.1%
Common
ValueCountFrequency (%)
) 18
56.2%
7
 
21.9%
( 6
 
18.8%
& 1
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 374
82.7%
ASCII 41
 
9.1%
None 37
 
8.2%

Most frequent character per block

None
ValueCountFrequency (%)
37
100.0%
Hangul
ValueCountFrequency (%)
24
 
6.4%
21
 
5.6%
18
 
4.8%
12
 
3.2%
9
 
2.4%
9
 
2.4%
8
 
2.1%
8
 
2.1%
7
 
1.9%
7
 
1.9%
Other values (128) 251
67.1%
ASCII
ValueCountFrequency (%)
) 18
43.9%
7
 
17.1%
( 6
 
14.6%
D 2
 
4.9%
J 1
 
2.4%
C 1
 
2.4%
B 1
 
2.4%
S 1
 
2.4%
E 1
 
2.4%
P 1
 
2.4%
Other values (2) 2
 
4.9%
Distinct70
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size724.0 B
Minimum1988-08-15 00:00:00
Maximum2021-12-31 00:00:00
2024-01-10T06:26:02.684734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:26:02.816202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
Distinct73
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size724.0 B
2024-01-10T06:26:03.005557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.945946
Min length9

Characters and Unicode

Total characters884
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

Unique72 ?
Unique (%)97.3%

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 2
 
2.7%
041-753-5790 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%
041-751-1470 1
 
1.4%
041-751-9599 1
 
1.4%
041-754-7041 1
 
1.4%
Other values (63) 63
85.1%
2024-01-10T06:26:03.311004image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 146
16.5%
0 134
15.2%
1 122
13.8%
4 117
13.2%
7 104
11.8%
5 98
11.1%
2 50
 
5.7%
3 34
 
3.8%
9 29
 
3.3%
8 29
 
3.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 738
83.5%
Dash Punctuation 146
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 134
18.2%
1 122
16.5%
4 117
15.9%
7 104
14.1%
5 98
13.3%
2 50
 
6.8%
3 34
 
4.6%
9 29
 
3.9%
8 29
 
3.9%
6 21
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 146
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 884
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 146
16.5%
0 134
15.2%
1 122
13.8%
4 117
13.2%
7 104
11.8%
5 98
11.1%
2 50
 
5.7%
3 34
 
3.8%
9 29
 
3.3%
8 29
 
3.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 884
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 146
16.5%
0 134
15.2%
1 122
13.8%
4 117
13.2%
7 104
11.8%
5 98
11.1%
2 50
 
5.7%
3 34
 
3.8%
9 29
 
3.3%
8 29
 
3.3%

종업원수
Real number (ℝ)

HIGH CORRELATION 

Distinct39
Distinct (%)52.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean58.72973
Minimum1
Maximum2978
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size798.0 B
2024-01-10T06:26:03.419915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2
Q18.25
median16.5
Q324.75
95-th percentile47.05
Maximum2978
Range2977
Interquartile range (IQR)16.5

Descriptive statistics

Standard deviation344.37779
Coefficient of variation (CV)5.8637728
Kurtosis73.668512
Mean58.72973
Median Absolute Deviation (MAD)8.5
Skewness8.5740415
Sum4346
Variance118596.06
MonotonicityNot monotonic
2024-01-10T06:26:03.522569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=39)
ValueCountFrequency (%)
13 5
 
6.8%
2 4
 
5.4%
24 4
 
5.4%
3 4
 
5.4%
9 4
 
5.4%
25 3
 
4.1%
7 3
 
4.1%
18 3
 
4.1%
21 3
 
4.1%
23 2
 
2.7%
Other values (29) 39
52.7%
ValueCountFrequency (%)
1 2
2.7%
2 4
5.4%
3 4
5.4%
4 2
2.7%
5 1
 
1.4%
6 2
2.7%
7 3
4.1%
8 1
 
1.4%
9 4
5.4%
10 2
2.7%
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
2.7%
34 1
1.4%
Distinct72
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size724.0 B
2024-01-10T06:26:03.709489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length21.851351
Min length18

Characters and Unicode

Total characters1617
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

Unique70 ?
Unique (%)94.6%

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 (%)
금산군 74
20.0%
충청남도 73
19.7%
추부면 30
 
8.1%
신평공단1로 30
 
8.1%
금성면 23
 
6.2%
금성공단로 23
 
6.2%
복수공단길 14
 
3.8%
복수면 14
 
3.8%
부리면 6
 
1.6%
인삼약초공단로 4
 
1.1%
Other values (68) 79
21.4%
2024-01-10T06:26:03.995284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
297
18.4%
121
 
7.5%
74
 
4.6%
74
 
4.6%
74
 
4.6%
74
 
4.6%
74
 
4.6%
73
 
4.5%
73
 
4.5%
73
 
4.5%
Other values (29) 610
37.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1118
69.1%
Space Separator 297
 
18.4%
Decimal Number 196
 
12.1%
Dash Punctuation 6
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
121
 
10.8%
74
 
6.6%
74
 
6.6%
74
 
6.6%
74
 
6.6%
74
 
6.6%
73
 
6.5%
73
 
6.5%
73
 
6.5%
73
 
6.5%
Other values (17) 335
30.0%
Decimal Number
ValueCountFrequency (%)
1 68
34.7%
2 22
 
11.2%
4 20
 
10.2%
6 18
 
9.2%
0 18
 
9.2%
5 14
 
7.1%
9 12
 
6.1%
3 10
 
5.1%
7 9
 
4.6%
8 5
 
2.6%
Space Separator
ValueCountFrequency (%)
297
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1118
69.1%
Common 499
30.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
121
 
10.8%
74
 
6.6%
74
 
6.6%
74
 
6.6%
74
 
6.6%
74
 
6.6%
73
 
6.5%
73
 
6.5%
73
 
6.5%
73
 
6.5%
Other values (17) 335
30.0%
Common
ValueCountFrequency (%)
297
59.5%
1 68
 
13.6%
2 22
 
4.4%
4 20
 
4.0%
6 18
 
3.6%
0 18
 
3.6%
5 14
 
2.8%
9 12
 
2.4%
3 10
 
2.0%
7 9
 
1.8%
Other values (2) 11
 
2.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1118
69.1%
ASCII 499
30.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
297
59.5%
1 68
 
13.6%
2 22
 
4.4%
4 20
 
4.0%
6 18
 
3.6%
0 18
 
3.6%
5 14
 
2.8%
9 12
 
2.4%
3 10
 
2.0%
7 9
 
1.8%
Other values (2) 11
 
2.2%
Hangul
ValueCountFrequency (%)
121
 
10.8%
74
 
6.6%
74
 
6.6%
74
 
6.6%
74
 
6.6%
74
 
6.6%
73
 
6.5%
73
 
6.5%
73
 
6.5%
73
 
6.5%
Other values (17) 335
30.0%

생산품
Text

MISSING 

Distinct70
Distinct (%)95.9%
Missing1
Missing (%)1.4%
Memory size724.0 B
2024-01-10T06:26:04.208061image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length11
Mean length6.4109589
Min length2

Characters and Unicode

Total characters468
Distinct characters161
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

Unique68 ?
Unique (%)93.2%

Sample

1st row타이어
2nd row전기절연커버
3rd row홍삼액
4th row수도계량기, 보호통
5th row플라스틱 성형용기
ValueCountFrequency (%)
건강기능식품 3
 
2.8%
3
 
2.8%
종이상자 2
 
1.9%
폴리올 2
 
1.9%
젤리류 2
 
1.9%
홍삼액 2
 
1.9%
방송장비 2
 
1.9%
부직포 2
 
1.9%
강관 1
 
0.9%
기자재 1
 
0.9%
Other values (88) 88
81.5%
2024-01-10T06:26:04.546704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
35
 
7.5%
24
 
5.1%
, 18
 
3.8%
17
 
3.6%
10
 
2.1%
9
 
1.9%
9
 
1.9%
9
 
1.9%
8
 
1.7%
8
 
1.7%
Other values (151) 321
68.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 407
87.0%
Space Separator 35
 
7.5%
Other Punctuation 18
 
3.8%
Uppercase Letter 6
 
1.3%
Close Punctuation 1
 
0.2%
Open Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
24
 
5.9%
17
 
4.2%
10
 
2.5%
9
 
2.2%
9
 
2.2%
9
 
2.2%
8
 
2.0%
8
 
2.0%
8
 
2.0%
7
 
1.7%
Other values (142) 298
73.2%
Uppercase Letter
ValueCountFrequency (%)
C 2
33.3%
V 1
16.7%
T 1
16.7%
P 1
16.7%
E 1
16.7%
Space Separator
ValueCountFrequency (%)
35
100.0%
Other Punctuation
ValueCountFrequency (%)
, 18
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 407
87.0%
Common 55
 
11.8%
Latin 6
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
24
 
5.9%
17
 
4.2%
10
 
2.5%
9
 
2.2%
9
 
2.2%
9
 
2.2%
8
 
2.0%
8
 
2.0%
8
 
2.0%
7
 
1.7%
Other values (142) 298
73.2%
Latin
ValueCountFrequency (%)
C 2
33.3%
V 1
16.7%
T 1
16.7%
P 1
16.7%
E 1
16.7%
Common
ValueCountFrequency (%)
35
63.6%
, 18
32.7%
) 1
 
1.8%
( 1
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 407
87.0%
ASCII 61
 
13.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
35
57.4%
, 18
29.5%
C 2
 
3.3%
V 1
 
1.6%
T 1
 
1.6%
P 1
 
1.6%
) 1
 
1.6%
( 1
 
1.6%
E 1
 
1.6%
Hangul
ValueCountFrequency (%)
24
 
5.9%
17
 
4.2%
10
 
2.5%
9
 
2.2%
9
 
2.2%
9
 
2.2%
8
 
2.0%
8
 
2.0%
8
 
2.0%
7
 
1.7%
Other values (142) 298
73.2%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size724.0 B
2022-01-27
74 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2022-01-27
2nd row2022-01-27
3rd row2022-01-27
4th row2022-01-27
5th row2022-01-27

Common Values

ValueCountFrequency (%)
2022-01-27 74
100.0%

Length

2024-01-10T06:26:04.653914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-10T06:26:04.724975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2022-01-27 74
100.0%

Interactions

2024-01-10T06:26:01.414618image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:26:01.281989image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:26:01.483396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-01-10T06:26:01.349736image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-10T06:26:04.780022image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번산업단지명회사명설립일자전화번호종업원수공장대표주소생산품
순번1.0000.9711.0000.6620.9290.0000.9690.823
산업단지명0.9711.0001.0000.8401.0001.0001.0000.610
회사명1.0001.0001.0001.0001.0001.0001.0001.000
설립일자0.6620.8401.0001.0001.0001.0000.9910.994
전화번호0.9291.0001.0001.0001.0001.0000.9951.000
종업원수0.0001.0001.0001.0001.0001.0001.0001.000
공장대표주소0.9691.0001.0000.9910.9951.0001.0000.985
생산품0.8230.6101.0000.9941.0001.0000.9851.000
2024-01-10T06:26:04.877040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번종업원수산업단지명
순번1.0000.0670.733
종업원수0.0671.0000.979
산업단지명0.7330.9791.000

Missing values

2024-01-10T06:26:01.570464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-10T06:26:01.670325image/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 1타이어2022-01-27
12금성농공단지태형산업㈜1997-11-26041-754-667213충청남도 금산군 금성면 금성공단로 68전기절연커버2022-01-27
23금성농공단지한국생약영농조합법인2003-07-29041-751-44007충청남도 금산군 금성면 금성공단로 5-8홍삼액2022-01-27
34금성농공단지㈜한영계기1989-07-01041-751-10519충청남도 금산군 금성면 금성공단로 49수도계량기, 보호통2022-01-27
45금성농공단지㈜부광케미컬1996-05-01041-751-320523충청남도 금산군 금성면 금성공단로 66플라스틱 성형용기2022-01-27
56금성농공단지㈜옥마루2018-11-28041-751-89809충청남도 금산군 금성면 금성공단로 5-10돌침대2022-01-27
67금성농공단지구안산업㈜1997-03-18041-754-62579충청남도 금산군 금성면 금성공단로 23인삼차, 홍삼액2022-01-27
78금성농공단지㈜그린퓨어제지1997-05-201544-09598충청남도 금산군 금성면 금성공단로 90위생용 종이제품2022-01-27
89금성농공단지㈜이에스에프씨티1994-06-01041-754-789125충청남도 금산군 금성면 금성공단로 31표면처리재2022-01-27
910금성농공단지안성공업㈜1993-03-23041-752-96077충청남도 금산군 금성면 금성공단로 52플러그핀2022-01-27
순번산업단지명회사명설립일자전화번호종업원수공장대표주소생산품데이터기준일자
6465추부농공단지주)한일에스피2011-10-17041-754-072026충청남도 금산군 추부면 신평공단1로 21분무기, 노즐2022-01-27
6566추부농공단지주)세양2014-10-06041-754-835518충청남도 금산군 추부면 신평공단1로 20계란선별기2022-01-27
6667추부농공단지에스디(주2015-01-06041-752-68643충청남도 금산군 추부면 신평공단1로 109자동차부품 금속단자2022-01-27
6768추부농공단지지오엔에너지2019-01-28042-628-067516충청남도 금산군 추부면 신평공단1로 67전동기 및 발전기2022-01-27
6869인삼약초특화농공단지㈜명품코리아2015-05-20041-754-082117충청남도 금산군 부리면 인삼약초공단1로 27CCTV, 방송장비2022-01-27
6970인삼약초특화농공단지농업회사법인 금산흑삼㈜2015-08-25041-754-089329충청남도 금산군 부리면 인삼약초공단로 15흑삼2022-01-27
7071인삼약초특화농공단지농업회사법인 ㈜주안푸드2017-10-19041-752-175013충청남도 금산군 부리면 인삼약초공단1길 17도시락2022-01-27
7172인삼약초특화농공단지경방신약㈜2019-09-16041-751-565066충청남도 금산군 부리면 인삼약초공단로 27건강기능식품2022-01-27
7273인삼약초특화농공단지㈜다우에프에스2015-12-01041-751-061035충청남도 금산군 부리면 인삼약초공단로 6제과, 제빵 및 젤리류2022-01-27
7374인삼약초특화농공단지㈜다우엠에스2017-04-17041-751-552723충청남도 금산군 부리면 인삼약초공단로 16젤리류2022-01-27