Overview

Dataset statistics

Number of variables8
Number of observations132
Missing cells48
Missing cells (%)4.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.6 KiB
Average record size in memory67.0 B

Variable types

Numeric2
Text4
Categorical2

Dataset

Description청도군 관내에 있는 식품 제조 가공업체 현황정보로 연번, 업소명, 업종, 업태, 소재지 전화번호, 주소(도로명주소, 지번주소), 면적 등의 정보를 포함하고 있습니다.
Author경상북도 청도군
URLhttps://www.data.go.kr/data/15101232/fileData.do

Alerts

업종 has constant value ""Constant
연번 is highly overall correlated with 업태High correlation
업태 is highly overall correlated with 연번High correlation
소재지전화번호 has 48 (36.4%) missing valuesMissing
연번 has unique valuesUnique
업소명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:03:06.586150
Analysis finished2023-12-12 19:03:08.462042
Duration1.88 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct132
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean66.5
Minimum1
Maximum132
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-13T04:03:08.607880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.55
Q133.75
median66.5
Q399.25
95-th percentile125.45
Maximum132
Range131
Interquartile range (IQR)65.5

Descriptive statistics

Standard deviation38.249183
Coefficient of variation (CV)0.57517568
Kurtosis-1.2
Mean66.5
Median Absolute Deviation (MAD)33
Skewness0
Sum8778
Variance1463
MonotonicityStrictly increasing
2023-12-13T04:03:08.924881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.8%
85 1
 
0.8%
99 1
 
0.8%
98 1
 
0.8%
97 1
 
0.8%
96 1
 
0.8%
95 1
 
0.8%
94 1
 
0.8%
93 1
 
0.8%
92 1
 
0.8%
Other values (122) 122
92.4%
ValueCountFrequency (%)
1 1
0.8%
2 1
0.8%
3 1
0.8%
4 1
0.8%
5 1
0.8%
6 1
0.8%
7 1
0.8%
8 1
0.8%
9 1
0.8%
10 1
0.8%
ValueCountFrequency (%)
132 1
0.8%
131 1
0.8%
130 1
0.8%
129 1
0.8%
128 1
0.8%
127 1
0.8%
126 1
0.8%
125 1
0.8%
124 1
0.8%
123 1
0.8%

업소명
Text

UNIQUE 

Distinct132
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-13T04:03:09.424885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length15
Mean length8.5378788
Min length3

Characters and Unicode

Total characters1127
Distinct characters250
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique132 ?
Unique (%)100.0%

Sample

1st row풍각두부공장
2nd row고 방
3rd row두은식품
4th row세인푸드농업회사법인주식회사청도공장
5th row아이스홍시 청도영농조합
ValueCountFrequency (%)
농업회사법인 19
 
9.4%
주식회사 16
 
7.9%
영농조합법인 3
 
1.5%
식품 2
 
1.0%
food 2
 
1.0%
한결농산 2
 
1.0%
산나래 1
 
0.5%
감미인영농조합법인 1
 
0.5%
복식품 1
 
0.5%
주)헬씨바이오 1
 
0.5%
Other values (155) 155
76.4%
2023-12-13T04:03:10.229749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
73
 
6.5%
62
 
5.5%
52
 
4.6%
46
 
4.1%
46
 
4.1%
42
 
3.7%
39
 
3.5%
37
 
3.3%
29
 
2.6%
( 28
 
2.5%
Other values (240) 673
59.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 960
85.2%
Space Separator 73
 
6.5%
Open Punctuation 28
 
2.5%
Close Punctuation 28
 
2.5%
Uppercase Letter 17
 
1.5%
Lowercase Letter 13
 
1.2%
Decimal Number 6
 
0.5%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
62
 
6.5%
52
 
5.4%
46
 
4.8%
46
 
4.8%
42
 
4.4%
39
 
4.1%
37
 
3.9%
29
 
3.0%
22
 
2.3%
20
 
2.1%
Other values (212) 565
58.9%
Uppercase Letter
ValueCountFrequency (%)
F 2
11.8%
D 2
11.8%
O 2
11.8%
N 2
11.8%
G 2
11.8%
K 2
11.8%
T 1
5.9%
J 1
5.9%
M 1
5.9%
C 1
5.9%
Lowercase Letter
ValueCountFrequency (%)
e 4
30.8%
o 2
15.4%
r 1
 
7.7%
n 1
 
7.7%
t 1
 
7.7%
s 1
 
7.7%
w 1
 
7.7%
f 1
 
7.7%
d 1
 
7.7%
Decimal Number
ValueCountFrequency (%)
2 3
50.0%
3 2
33.3%
1 1
 
16.7%
Other Punctuation
ValueCountFrequency (%)
' 1
50.0%
· 1
50.0%
Space Separator
ValueCountFrequency (%)
73
100.0%
Open Punctuation
ValueCountFrequency (%)
( 28
100.0%
Close Punctuation
ValueCountFrequency (%)
) 28
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 960
85.2%
Common 137
 
12.2%
Latin 30
 
2.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
62
 
6.5%
52
 
5.4%
46
 
4.8%
46
 
4.8%
42
 
4.4%
39
 
4.1%
37
 
3.9%
29
 
3.0%
22
 
2.3%
20
 
2.1%
Other values (212) 565
58.9%
Latin
ValueCountFrequency (%)
e 4
 
13.3%
F 2
 
6.7%
D 2
 
6.7%
O 2
 
6.7%
N 2
 
6.7%
G 2
 
6.7%
K 2
 
6.7%
o 2
 
6.7%
r 1
 
3.3%
n 1
 
3.3%
Other values (10) 10
33.3%
Common
ValueCountFrequency (%)
73
53.3%
( 28
 
20.4%
) 28
 
20.4%
2 3
 
2.2%
3 2
 
1.5%
1 1
 
0.7%
' 1
 
0.7%
· 1
 
0.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 960
85.2%
ASCII 166
 
14.7%
None 1
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
73
44.0%
( 28
 
16.9%
) 28
 
16.9%
e 4
 
2.4%
2 3
 
1.8%
F 2
 
1.2%
D 2
 
1.2%
O 2
 
1.2%
3 2
 
1.2%
N 2
 
1.2%
Other values (17) 20
 
12.0%
Hangul
ValueCountFrequency (%)
62
 
6.5%
52
 
5.4%
46
 
4.8%
46
 
4.8%
42
 
4.4%
39
 
4.1%
37
 
3.9%
29
 
3.0%
22
 
2.3%
20
 
2.1%
Other values (212) 565
58.9%
None
ValueCountFrequency (%)
· 1
100.0%

업종
Categorical

CONSTANT 

Distinct1
Distinct (%)0.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
식품제조가공업
132 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
식품제조가공업 132
100.0%

Length

2023-12-13T04:03:10.493227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:03:10.728193image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 132
100.0%

업태
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
기타 식품제조가공업
77 
식품제조가공업
55 

Length

Max length10
Median length10
Mean length8.75
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타 식품제조가공업 77
58.3%
식품제조가공업 55
41.7%

Length

2023-12-13T04:03:10.960226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T04:03:11.179384image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 132
63.2%
기타 77
36.8%

소재지전화번호
Text

MISSING 

Distinct79
Distinct (%)94.0%
Missing48
Missing (%)36.4%
Memory size1.2 KiB
2023-12-13T04:03:11.554668image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.071429
Min length12

Characters and Unicode

Total characters1014
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

Unique74 ?
Unique (%)88.1%

Sample

1st row054-372-0952
2nd row054-373-4898
3rd row054-373-1529
4th row054-372-0300
5th row054-373-6784
ValueCountFrequency (%)
054-373-4898 2
 
2.4%
054-373-0399 2
 
2.4%
054-373-7561 2
 
2.4%
054-370-1000 2
 
2.4%
054-372-4466 2
 
2.4%
054-373-5445 1
 
1.2%
070-4639-1854 1
 
1.2%
054-373-3558 1
 
1.2%
054-373-8858 1
 
1.2%
054-373-8983 1
 
1.2%
Other values (69) 69
82.1%
2023-12-13T04:03:12.141528image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 168
16.6%
3 143
14.1%
0 141
13.9%
4 117
11.5%
5 114
11.2%
7 112
11.0%
1 58
 
5.7%
8 50
 
4.9%
6 44
 
4.3%
2 39
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 846
83.4%
Dash Punctuation 168
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
3 143
16.9%
0 141
16.7%
4 117
13.8%
5 114
13.5%
7 112
13.2%
1 58
6.9%
8 50
 
5.9%
6 44
 
5.2%
2 39
 
4.6%
9 28
 
3.3%
Dash Punctuation
ValueCountFrequency (%)
- 168
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1014
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 168
16.6%
3 143
14.1%
0 141
13.9%
4 117
11.5%
5 114
11.2%
7 112
11.0%
1 58
 
5.7%
8 50
 
4.9%
6 44
 
4.3%
2 39
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1014
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 168
16.6%
3 143
14.1%
0 141
13.9%
4 117
11.5%
5 114
11.2%
7 112
11.0%
1 58
 
5.7%
8 50
 
4.9%
6 44
 
4.3%
2 39
 
3.8%
Distinct124
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-13T04:03:12.711599image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length31
Median length26
Mean length21.386364
Min length18

Characters and Unicode

Total characters2823
Distinct characters122
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique116 ?
Unique (%)87.9%

Sample

1st row경상북도 청도군 풍각면 송서7길 7-4
2nd row경상북도 청도군 각남면 녹명길 41-5
3rd row경상북도 청도군 풍각면 월봉길 487-42
4th row경상북도 청도군 금천면 명포길 112-158
5th row경상북도 청도군 청도읍 월곡2길 63
ValueCountFrequency (%)
경상북도 132
19.8%
청도군 132
19.8%
청도읍 26
 
3.9%
화양읍 24
 
3.6%
이서면 22
 
3.3%
각남면 14
 
2.1%
풍각면 14
 
2.1%
금천면 11
 
1.7%
매전면 10
 
1.5%
각북면 9
 
1.4%
Other values (204) 271
40.8%
2023-12-13T04:03:13.498499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
533
18.9%
291
 
10.3%
167
 
5.9%
145
 
5.1%
132
 
4.7%
132
 
4.7%
132
 
4.7%
1 120
 
4.3%
100
 
3.5%
82
 
2.9%
Other values (112) 989
35.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1765
62.5%
Space Separator 533
 
18.9%
Decimal Number 459
 
16.3%
Dash Punctuation 59
 
2.1%
Other Punctuation 3
 
0.1%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
291
16.5%
167
 
9.5%
145
 
8.2%
132
 
7.5%
132
 
7.5%
132
 
7.5%
100
 
5.7%
82
 
4.6%
54
 
3.1%
45
 
2.5%
Other values (97) 485
27.5%
Decimal Number
ValueCountFrequency (%)
1 120
26.1%
2 60
13.1%
3 57
12.4%
5 46
 
10.0%
4 36
 
7.8%
7 30
 
6.5%
8 29
 
6.3%
6 29
 
6.3%
0 27
 
5.9%
9 25
 
5.4%
Space Separator
ValueCountFrequency (%)
533
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 59
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1765
62.5%
Common 1058
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
291
16.5%
167
 
9.5%
145
 
8.2%
132
 
7.5%
132
 
7.5%
132
 
7.5%
100
 
5.7%
82
 
4.6%
54
 
3.1%
45
 
2.5%
Other values (97) 485
27.5%
Common
ValueCountFrequency (%)
533
50.4%
1 120
 
11.3%
2 60
 
5.7%
- 59
 
5.6%
3 57
 
5.4%
5 46
 
4.3%
4 36
 
3.4%
7 30
 
2.8%
8 29
 
2.7%
6 29
 
2.7%
Other values (5) 59
 
5.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1765
62.5%
ASCII 1058
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
533
50.4%
1 120
 
11.3%
2 60
 
5.7%
- 59
 
5.6%
3 57
 
5.4%
5 46
 
4.3%
4 36
 
3.4%
7 30
 
2.8%
8 29
 
2.7%
6 29
 
2.7%
Other values (5) 59
 
5.6%
Hangul
ValueCountFrequency (%)
291
16.5%
167
 
9.5%
145
 
8.2%
132
 
7.5%
132
 
7.5%
132
 
7.5%
100
 
5.7%
82
 
4.6%
54
 
3.1%
45
 
2.5%
Other values (97) 485
27.5%
Distinct116
Distinct (%)87.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-13T04:03:14.190799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length27
Mean length22.333333
Min length5

Characters and Unicode

Total characters2948
Distinct characters95
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

Unique110 ?
Unique (%)83.3%

Sample

1st row경상북도 청도군 풍각면 송서리 571 - 2
2nd row경상북도 청도군 각남면 녹명리 330 - 1
3rd row경상북도 청도군 풍각면 월봉리 769
4th row경상북도 청도군 금천면 임당리 1741 - 2
5th row경상북도 청도군 청도읍 월곡리 300 - 1
ValueCountFrequency (%)
경상북도 120
16.8%
청도군 120
16.8%
56
 
7.8%
청도읍 23
 
3.2%
화양읍 22
 
3.1%
1 20
 
2.8%
이서면 19
 
2.7%
2 15
 
2.1%
각남면 14
 
2.0%
풍각면 13
 
1.8%
Other values (188) 294
41.1%
2023-12-13T04:03:15.173424image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
893
30.3%
264
 
9.0%
143
 
4.9%
129
 
4.4%
122
 
4.1%
121
 
4.1%
120
 
4.1%
120
 
4.1%
1 82
 
2.8%
75
 
2.5%
Other values (85) 879
29.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1560
52.9%
Space Separator 893
30.3%
Decimal Number 439
 
14.9%
Dash Punctuation 56
 
1.9%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
264
16.9%
143
 
9.2%
129
 
8.3%
122
 
7.8%
121
 
7.8%
120
 
7.7%
120
 
7.7%
75
 
4.8%
49
 
3.1%
37
 
2.4%
Other values (73) 380
24.4%
Decimal Number
ValueCountFrequency (%)
1 82
18.7%
3 58
13.2%
2 58
13.2%
5 43
9.8%
4 42
9.6%
0 42
9.6%
8 36
8.2%
7 33
7.5%
9 26
 
5.9%
6 19
 
4.3%
Space Separator
ValueCountFrequency (%)
893
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1560
52.9%
Common 1388
47.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
264
16.9%
143
 
9.2%
129
 
8.3%
122
 
7.8%
121
 
7.8%
120
 
7.7%
120
 
7.7%
75
 
4.8%
49
 
3.1%
37
 
2.4%
Other values (73) 380
24.4%
Common
ValueCountFrequency (%)
893
64.3%
1 82
 
5.9%
3 58
 
4.2%
2 58
 
4.2%
- 56
 
4.0%
5 43
 
3.1%
4 42
 
3.0%
0 42
 
3.0%
8 36
 
2.6%
7 33
 
2.4%
Other values (2) 45
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1560
52.9%
ASCII 1388
47.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
893
64.3%
1 82
 
5.9%
3 58
 
4.2%
2 58
 
4.2%
- 56
 
4.0%
5 43
 
3.1%
4 42
 
3.0%
0 42
 
3.0%
8 36
 
2.6%
7 33
 
2.4%
Other values (2) 45
 
3.2%
Hangul
ValueCountFrequency (%)
264
16.9%
143
 
9.2%
129
 
8.3%
122
 
7.8%
121
 
7.8%
120
 
7.7%
120
 
7.7%
75
 
4.8%
49
 
3.1%
37
 
2.4%
Other values (73) 380
24.4%

면적
Real number (ℝ)

Distinct119
Distinct (%)90.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean409.41667
Minimum19
Maximum4997
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-13T04:03:15.505207image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum19
5-th percentile31.1
Q195.75
median188
Q3395.5
95-th percentile1406.8
Maximum4997
Range4978
Interquartile range (IQR)299.75

Descriptive statistics

Standard deviation677.23016
Coefficient of variation (CV)1.6541343
Kurtosis20.655598
Mean409.41667
Median Absolute Deviation (MAD)113
Skewness4.0985071
Sum54043
Variance458640.69
MonotonicityNot monotonic
2023-12-13T04:03:15.686016image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
209 3
 
2.3%
265 2
 
1.5%
75 2
 
1.5%
222 2
 
1.5%
192 2
 
1.5%
54 2
 
1.5%
135 2
 
1.5%
165 2
 
1.5%
155 2
 
1.5%
156 2
 
1.5%
Other values (109) 111
84.1%
ValueCountFrequency (%)
19 1
0.8%
21 1
0.8%
23 1
0.8%
24 1
0.8%
25 1
0.8%
29 1
0.8%
30 1
0.8%
32 1
0.8%
36 1
0.8%
45 1
0.8%
ValueCountFrequency (%)
4997 1
0.8%
3556 1
0.8%
3138 1
0.8%
2257 1
0.8%
2004 1
0.8%
1936 1
0.8%
1475 1
0.8%
1351 1
0.8%
1338 1
0.8%
1132 1
0.8%

Interactions

2023-12-13T04:03:07.647788image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:03:07.282612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:03:07.861000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T04:03:07.470859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T04:03:15.796246image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업태소재지전화번호면적
연번1.0000.9920.8010.156
업태0.9921.0000.6590.000
소재지전화번호0.8010.6591.0000.000
면적0.1560.0000.0001.000
2023-12-13T04:03:15.926398image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면적업태
연번1.000-0.0760.891
면적-0.0761.0000.000
업태0.8910.0001.000

Missing values

2023-12-13T04:03:08.128251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:03:08.383097image/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

연번업소명업종업태소재지전화번호소재지(도로명)소재지(지번)면적
01풍각두부공장식품제조가공업식품제조가공업054-372-0952경상북도 청도군 풍각면 송서7길 7-4경상북도 청도군 풍각면 송서리 571 - 2140
12고 방식품제조가공업식품제조가공업054-373-4898경상북도 청도군 각남면 녹명길 41-5경상북도 청도군 각남면 녹명리 330 - 1300
23두은식품식품제조가공업식품제조가공업054-373-1529경상북도 청도군 풍각면 월봉길 487-42경상북도 청도군 풍각면 월봉리 769147
34세인푸드농업회사법인주식회사청도공장식품제조가공업식품제조가공업054-372-0300경상북도 청도군 금천면 명포길 112-158경상북도 청도군 금천면 임당리 1741 - 21071
45아이스홍시 청도영농조합식품제조가공업식품제조가공업054-373-6784경상북도 청도군 청도읍 월곡2길 63경상북도 청도군 청도읍 월곡리 300 - 11475
56주식회사 장원식품식품제조가공업식품제조가공업054-373-4313경상북도 청도군 청도읍 고수동3길 49경상북도 청도군 청도읍 고수리 112 - 2301
67청림식품식품제조가공업식품제조가공업054-371-5879경상북도 청도군 매전면 남양길 46-6경상북도 청도군 매전면 남양리 182299
78현대급식식품제조가공업식품제조가공업054-371-0546경상북도 청도군 매전면 광명대2길 9경상북도 청도군 매전면 온막리 704 - 123
89심비원식품식품제조가공업식품제조가공업054-371-4711경상북도 청도군 화양읍 내곡길 135-32경상북도 청도군 화양읍 유등리 388146
910뉴 지케이푸드(New G·K food)식품제조가공업식품제조가공업054-373-7881경상북도 청도군 화양읍 남성현로 146경상북도 청도군 화양읍 진라리 400306
연번업소명업종업태소재지전화번호소재지(도로명)소재지(지번)면적
122123농업회사법인 다정다감주식회사식품제조가공업기타 식품제조가공업<NA>경상북도 청도군 이서면 원고철길 74경상북도 청도군 이서면 고철리 500 - 1394
123124농업회사법인주식회사 에스아이식품제조가공업기타 식품제조가공업<NA>경상북도 청도군 이서면 각계길 10경상북도 청도군 이서면 각계리 48100
124125농업회사법인 잭과사과나무식품제조가공업기타 식품제조가공업<NA>경상북도 청도군 각남면 옥산길 338경상북도 청도군 각남면 옥산리 1334 - 5165
125126덕분푸드식품제조가공업기타 식품제조가공업<NA>경상북도 청도군 이서면 금촌1길 39-30경상북도 청도군 이서면 금촌리 53572
126127영농조합법인 농울림식품제조가공업기타 식품제조가공업054-372-2224경상북도 청도군 화양읍 도주관로 183경상북도 청도군 화양읍 동천리 203 - 1113
127128청도대감 영농조합법인2식품제조가공업기타 식품제조가공업054-373-0399경상북도 청도군 청도읍 송읍길 2-33경상북도 청도군 청도읍 송읍리 287 - 3460
128129후레쉬대운영농조합법인식품제조가공업기타 식품제조가공업054-371-2003경상북도 청도군 이서면 가금구라길 358, 1층경상북도 청도군 이서면 서원리 700655
129130동곡리323식품제조가공업기타 식품제조가공업054-372-9212경상북도 청도군 금천면 윗동실길 19-19경상북도 청도군 금천면 동곡리 324105
130131농업회사법인(주)시그널케어식품제조가공업기타 식품제조가공업070-4772-4763경상북도 청도군 화양읍 합천2길 42경상북도 청도군 화양읍 합천리 133209
131132어머니 수제차식품제조가공업기타 식품제조가공업<NA>경상북도 청도군 이서면 흥선1길 39경상북도 청도군 이서면 흥선리 50730