Overview

Dataset statistics

Number of variables9
Number of observations65
Missing cells18
Missing cells (%)3.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.8 KiB
Average record size in memory76.0 B

Variable types

Numeric2
Text4
Categorical2
DateTime1

Dataset

Description식품제조가공업소 현황(사업장명, 소재지전화, 소재지면적, 지번주소, 도로명주소, 위생업태명, 급수시설구분 등)
URLhttps://www.data.go.kr/data/15101237/fileData.do

Alerts

기준일자 has constant value ""Constant
소재지(지번) has 1 (1.5%) missing valuesMissing
소재지전화 has 17 (26.2%) missing valuesMissing
연번 has unique valuesUnique
업소명 has unique valuesUnique
소재지(도로명) has unique valuesUnique
면적 has 1 (1.5%) zerosZeros

Reproduction

Analysis started2023-12-12 22:54:41.061090
Analysis finished2023-12-12 22:54:42.122702
Duration1.06 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean33
Minimum1
Maximum65
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-13T07:54:42.199419image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile4.2
Q117
median33
Q349
95-th percentile61.8
Maximum65
Range64
Interquartile range (IQR)32

Descriptive statistics

Standard deviation18.90767
Coefficient of variation (CV)0.57295971
Kurtosis-1.2
Mean33
Median Absolute Deviation (MAD)16
Skewness0
Sum2145
Variance357.5
MonotonicityStrictly increasing
2023-12-13T07:54:42.351251image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.5%
50 1
 
1.5%
36 1
 
1.5%
37 1
 
1.5%
38 1
 
1.5%
39 1
 
1.5%
40 1
 
1.5%
41 1
 
1.5%
42 1
 
1.5%
43 1
 
1.5%
Other values (55) 55
84.6%
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 (%)
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%
58 1
1.5%
57 1
1.5%
56 1
1.5%

업소명
Text

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-13T07:54:42.548225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length15
Mean length7.8
Min length3

Characters and Unicode

Total characters507
Distinct characters164
Distinct categories5 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique65 ?
Unique (%)100.0%

Sample

1st row농업회사법인(주)우리들
2nd row석송식품
3rd row감천G바이오
4th row쌀아지매
5th row예천보호작업장
ValueCountFrequency (%)
농업회사법인 8
 
8.7%
주식회사 6
 
6.5%
영농조합법인 3
 
3.3%
예천 2
 
2.2%
착한농부 1
 
1.1%
올바른 1
 
1.1%
두레원 1
 
1.1%
참기름 1
 
1.1%
행복드림 1
 
1.1%
미래영농조합 1
 
1.1%
Other values (67) 67
72.8%
2023-12-13T07:54:42.878422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
농 31
 
6.1%
27
 
5.3%
회 18
 
3.6%
인 16
 
3.2%
사 15
 
3.0%
주 15
 
3.0%
식 15
 
3.0%
법 14
 
2.8%
장 14
 
2.8%
천 12
 
2.4%
Other values (154) 330
65.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 463
91.3%
Space Separator 27
 
5.3%
Close Punctuation 8
 
1.6%
Open Punctuation 8
 
1.6%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
농 31
 
6.7%
회 18
 
3.9%
인 16
 
3.5%
사 15
 
3.2%
주 15
 
3.2%
식 15
 
3.2%
법 14
 
3.0%
장 14
 
3.0%
천 12
 
2.6%
업 12
 
2.6%
Other values (150) 301
65.0%
Space Separator
ValueCountFrequency (%)
27
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Uppercase Letter
ValueCountFrequency (%)
G 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 461
90.9%
Common 43
 
8.5%
Han 2
 
0.4%
Latin 1
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
농 31
 
6.7%
회 18
 
3.9%
인 16
 
3.5%
사 15
 
3.3%
주 15
 
3.3%
식 15
 
3.3%
법 14
 
3.0%
장 14
 
3.0%
천 12
 
2.6%
업 12
 
2.6%
Other values (148) 299
64.9%
Common
ValueCountFrequency (%)
27
62.8%
) 8
 
18.6%
( 8
 
18.6%
Han
ValueCountFrequency (%)
香 1
50.0%
蓮 1
50.0%
Latin
ValueCountFrequency (%)
G 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 461
90.9%
ASCII 44
 
8.7%
CJK 2
 
0.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
농 31
 
6.7%
회 18
 
3.9%
인 16
 
3.5%
사 15
 
3.3%
주 15
 
3.3%
식 15
 
3.3%
법 14
 
3.0%
장 14
 
3.0%
천 12
 
2.6%
업 12
 
2.6%
Other values (148) 299
64.9%
ASCII
ValueCountFrequency (%)
27
61.4%
) 8
 
18.2%
( 8
 
18.2%
G 1
 
2.3%
CJK
ValueCountFrequency (%)
香 1
50.0%
蓮 1
50.0%

소재지(도로명)
Text

UNIQUE 

Distinct65
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size652.0 B
2023-12-13T07:54:43.158366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length33
Median length31
Mean length22.507692
Min length19

Characters and Unicode

Total characters1463
Distinct characters119
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

Unique65 ?
Unique (%)100.0%

Sample

1st row경상북도 예천군 감천면 복골길 38-6
2nd row경상북도 예천군 감천면 충효로 1369-5
3rd row경상북도 예천군 감천면 충효로 948-28
4th row경상북도 예천군 개포면 송담길 142-24
5th row경상북도 예천군 개포면 용개로 702-37
ValueCountFrequency (%)
경상북도 65
19.4%
예천군 65
19.4%
보문면 11
 
3.3%
예천읍 11
 
3.3%
호명면 6
 
1.8%
용문면 6
 
1.8%
지보면 5
 
1.5%
개포면 5
 
1.5%
풍양면 4
 
1.2%
효자로 4
 
1.2%
Other values (123) 153
45.7%
2023-12-13T07:54:43.584914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
270
18.5%
천 85
 
5.8%
예 78
 
5.3%
경 67
 
4.6%
군 67
 
4.6%
상 66
 
4.5%
도 66
 
4.5%
북 65
 
4.4%
면 54
 
3.7%
1 49
 
3.3%
Other values (109) 596
40.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 915
62.5%
Space Separator 270
 
18.5%
Decimal Number 231
 
15.8%
Dash Punctuation 34
 
2.3%
Other Punctuation 7
 
0.5%
Open Punctuation 3
 
0.2%
Close Punctuation 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 85
 
9.3%
예 78
 
8.5%
경 67
 
7.3%
군 67
 
7.3%
상 66
 
7.2%
도 66
 
7.2%
북 65
 
7.1%
면 54
 
5.9%
길 37
 
4.0%
로 28
 
3.1%
Other values (94) 302
33.0%
Decimal Number
ValueCountFrequency (%)
1 49
21.2%
2 36
15.6%
8 24
10.4%
3 24
10.4%
4 21
9.1%
7 16
 
6.9%
0 16
 
6.9%
9 15
 
6.5%
5 15
 
6.5%
6 15
 
6.5%
Space Separator
ValueCountFrequency (%)
270
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Other Punctuation
ValueCountFrequency (%)
, 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 915
62.5%
Common 548
37.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 85
 
9.3%
예 78
 
8.5%
경 67
 
7.3%
군 67
 
7.3%
상 66
 
7.2%
도 66
 
7.2%
북 65
 
7.1%
면 54
 
5.9%
길 37
 
4.0%
로 28
 
3.1%
Other values (94) 302
33.0%
Common
ValueCountFrequency (%)
270
49.3%
1 49
 
8.9%
2 36
 
6.6%
- 34
 
6.2%
8 24
 
4.4%
3 24
 
4.4%
4 21
 
3.8%
7 16
 
2.9%
0 16
 
2.9%
9 15
 
2.7%
Other values (5) 43
 
7.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 915
62.5%
ASCII 548
37.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
270
49.3%
1 49
 
8.9%
2 36
 
6.6%
- 34
 
6.2%
8 24
 
4.4%
3 24
 
4.4%
4 21
 
3.8%
7 16
 
2.9%
0 16
 
2.9%
9 15
 
2.7%
Other values (5) 43
 
7.8%
Hangul
ValueCountFrequency (%)
천 85
 
9.3%
예 78
 
8.5%
경 67
 
7.3%
군 67
 
7.3%
상 66
 
7.2%
도 66
 
7.2%
북 65
 
7.1%
면 54
 
5.9%
길 37
 
4.0%
로 28
 
3.1%
Other values (94) 302
33.0%

소재지(지번)
Text

MISSING 

Distinct64
Distinct (%)100.0%
Missing1
Missing (%)1.5%
Memory size652.0 B
2023-12-13T07:54:43.906496image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length34
Mean length23.546875
Min length20

Characters and Unicode

Total characters1507
Distinct characters114
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique64 ?
Unique (%)100.0%

Sample

1st row경상북도 예천군 감천면 포리 766
2nd row경상북도 예천군 감천면 포리 434-2
3rd row경상북도 예천군 감천면 덕율리 809-1 오아시스
4th row경상북도 예천군 개포면 가곡리 679-3
5th row경상북도 예천군 개포면 황산리 261-1
ValueCountFrequency (%)
경상북도 64
19.1%
예천군 64
19.1%
보문면 11
 
3.3%
예천읍 11
 
3.3%
호명면 6
 
1.8%
용문면 6
 
1.8%
지내리 5
 
1.5%
개포면 5
 
1.5%
지보면 5
 
1.5%
미호리 4
 
1.2%
Other values (119) 154
46.0%
2023-12-13T07:54:44.442177image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
333
22.1%
천 84
 
5.6%
예 77
 
5.1%
상 66
 
4.4%
도 65
 
4.3%
군 65
 
4.3%
경 64
 
4.2%
북 64
 
4.2%
리 64
 
4.2%
면 53
 
3.5%
Other values (104) 572
38.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 891
59.1%
Space Separator 333
 
22.1%
Decimal Number 235
 
15.6%
Dash Punctuation 44
 
2.9%
Open Punctuation 2
 
0.1%
Close Punctuation 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
천 84
 
9.4%
예 77
 
8.6%
상 66
 
7.4%
도 65
 
7.3%
군 65
 
7.3%
경 64
 
7.2%
북 64
 
7.2%
리 64
 
7.2%
면 53
 
5.9%
문 17
 
1.9%
Other values (90) 272
30.5%
Decimal Number
ValueCountFrequency (%)
1 49
20.9%
2 33
14.0%
6 26
11.1%
3 24
10.2%
5 24
10.2%
7 18
 
7.7%
9 16
 
6.8%
8 15
 
6.4%
0 15
 
6.4%
4 15
 
6.4%
Space Separator
ValueCountFrequency (%)
333
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 44
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 891
59.1%
Common 616
40.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
천 84
 
9.4%
예 77
 
8.6%
상 66
 
7.4%
도 65
 
7.3%
군 65
 
7.3%
경 64
 
7.2%
북 64
 
7.2%
리 64
 
7.2%
면 53
 
5.9%
문 17
 
1.9%
Other values (90) 272
30.5%
Common
ValueCountFrequency (%)
333
54.1%
1 49
 
8.0%
- 44
 
7.1%
2 33
 
5.4%
6 26
 
4.2%
3 24
 
3.9%
5 24
 
3.9%
7 18
 
2.9%
9 16
 
2.6%
8 15
 
2.4%
Other values (4) 34
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 891
59.1%
ASCII 616
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
333
54.1%
1 49
 
8.0%
- 44
 
7.1%
2 33
 
5.4%
6 26
 
4.2%
3 24
 
3.9%
5 24
 
3.9%
7 18
 
2.9%
9 16
 
2.6%
8 15
 
2.4%
Other values (4) 34
 
5.5%
Hangul
ValueCountFrequency (%)
천 84
 
9.4%
예 77
 
8.6%
상 66
 
7.4%
도 65
 
7.3%
군 65
 
7.3%
경 64
 
7.2%
북 64
 
7.2%
리 64
 
7.2%
면 53
 
5.9%
문 17
 
1.9%
Other values (90) 272
30.5%

면적
Real number (ℝ)

ZEROS 

Distinct63
Distinct (%)96.9%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1041.3343
Minimum0
Maximum19747.33
Zeros1
Zeros (%)1.5%
Negative0
Negative (%)0.0%
Memory size717.0 B
2023-12-13T07:54:44.629688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile33.192
Q180.1
median153.1
Q3239.5
95-th percentile3534.774
Maximum19747.33
Range19747.33
Interquartile range (IQR)159.4

Descriptive statistics

Standard deviation3354.6493
Coefficient of variation (CV)3.2214912
Kurtosis21.304917
Mean1041.3343
Median Absolute Deviation (MAD)81.2
Skewness4.5942553
Sum67686.73
Variance11253672
MonotonicityNot monotonic
2023-12-13T07:54:44.815765image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
135.0 2
 
3.1%
198.0 2
 
3.1%
128.84 1
 
1.5%
196.05 1
 
1.5%
66.66 1
 
1.5%
961.9 1
 
1.5%
197.45 1
 
1.5%
1682.62 1
 
1.5%
96.05 1
 
1.5%
109.78 1
 
1.5%
Other values (53) 53
81.5%
ValueCountFrequency (%)
0.0 1
1.5%
32.0 1
1.5%
32.27 1
1.5%
32.46 1
1.5%
36.12 1
1.5%
39.14 1
1.5%
39.75 1
1.5%
39.9 1
1.5%
41.79 1
1.5%
43.1 1
1.5%
ValueCountFrequency (%)
19747.33 1
1.5%
15867.34 1
1.5%
10932.86 1
1.5%
3985.13 1
1.5%
1733.35 1
1.5%
1682.62 1
1.5%
1161.24 1
1.5%
1149.0 1
1.5%
961.9 1
1.5%
941.93 1
1.5%

소재지전화
Text

MISSING 

Distinct47
Distinct (%)97.9%
Missing17
Missing (%)26.2%
Memory size652.0 B
2023-12-13T07:54:45.174167image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.041667
Min length12

Characters and Unicode

Total characters578
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

Unique46 ?
Unique (%)95.8%

Sample

1st row054-652-2788
2nd row054-652-4462
3rd row054-654-4981
4th row054-655-9948
5th row054-652-4025
ValueCountFrequency (%)
054-652-0069 2
 
4.2%
054-654-8324 1
 
2.1%
054-653-3900 1
 
2.1%
054-652-5166 1
 
2.1%
054-652-2020 1
 
2.1%
054-652-0877 1
 
2.1%
054-655-3003 1
 
2.1%
054-652-1853 1
 
2.1%
054-655-5881 1
 
2.1%
054-655-2862 1
 
2.1%
Other values (37) 37
77.1%
2023-12-13T07:54:45.612665image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 118
20.4%
- 96
16.6%
0 76
13.1%
4 76
13.1%
6 65
11.2%
2 38
 
6.6%
3 30
 
5.2%
8 26
 
4.5%
7 24
 
4.2%
1 15
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 482
83.4%
Dash Punctuation 96
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 118
24.5%
0 76
15.8%
4 76
15.8%
6 65
13.5%
2 38
 
7.9%
3 30
 
6.2%
8 26
 
5.4%
7 24
 
5.0%
1 15
 
3.1%
9 14
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 578
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 118
20.4%
- 96
16.6%
0 76
13.1%
4 76
13.1%
6 65
11.2%
2 38
 
6.6%
3 30
 
5.2%
8 26
 
4.5%
7 24
 
4.2%
1 15
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 578
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 118
20.4%
- 96
16.6%
0 76
13.1%
4 76
13.1%
6 65
11.2%
2 38
 
6.6%
3 30
 
5.2%
8 26
 
4.5%
7 24
 
4.2%
1 15
 
2.6%

업태명
Categorical

Distinct2
Distinct (%)3.1%
Missing0
Missing (%)0.0%
Memory size652.0 B
기타 식품제조가공업
33 
식품제조가공업
32 

Length

Max length10
Median length10
Mean length8.5230769
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
기타 식품제조가공업 33
50.8%
식품제조가공업 32
49.2%

Length

2023-12-13T07:54:45.802697image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:54:45.924474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식품제조가공업 65
66.3%
기타 33
33.7%

급수시설
Categorical

Distinct4
Distinct (%)6.2%
Missing0
Missing (%)0.0%
Memory size652.0 B
상수도전용
44 
지하수전용
10 
간이상수도
10 
상수도(음용)지하수(주방용)겸용
 
1

Length

Max length17
Median length5
Mean length5.1846154
Min length5

Unique

Unique1 ?
Unique (%)1.5%

Sample

1st row상수도전용
2nd row상수도전용
3rd row지하수전용
4th row상수도전용
5th row상수도전용

Common Values

ValueCountFrequency (%)
상수도전용 44
67.7%
지하수전용 10
 
15.4%
간이상수도 10
 
15.4%
상수도(음용)지하수(주방용)겸용 1
 
1.5%

Length

2023-12-13T07:54:46.039180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:54:46.170287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
상수도전용 44
67.7%
지하수전용 10
 
15.4%
간이상수도 10
 
15.4%
상수도(음용)지하수(주방용)겸용 1
 
1.5%

기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size652.0 B
Minimum2023-06-16 00:00:00
Maximum2023-06-16 00:00:00
2023-12-13T07:54:46.270636image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:46.375238image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T07:54:41.688023image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:41.528872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:41.769658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:54:41.601353image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:54:46.453325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번업소명소재지(도로명)소재지(지번)면적소재지전화업태명급수시설
연번1.0001.0001.0001.0000.2510.9400.0000.418
업소명1.0001.0001.0001.0001.0001.0001.0001.000
소재지(도로명)1.0001.0001.0001.0001.0001.0001.0001.000
소재지(지번)1.0001.0001.0001.0001.0001.0001.0001.000
면적0.2511.0001.0001.0001.0001.0000.0380.301
소재지전화0.9401.0001.0001.0001.0001.0000.0001.000
업태명0.0001.0001.0001.0000.0380.0001.0000.000
급수시설0.4181.0001.0001.0000.3011.0000.0001.000
2023-12-13T07:54:46.565484image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
급수시설업태명
급수시설1.0000.000
업태명0.0001.000
2023-12-13T07:54:46.671799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번면적업태명급수시설
연번1.0000.0730.0000.244
면적0.0731.0000.0330.246
업태명0.0000.0331.0000.000
급수시설0.2440.2460.0001.000

Missing values

2023-12-13T07:54:41.880462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:54:41.995233image/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.
2023-12-13T07:54:42.080269image/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

연번업소명소재지(도로명)소재지(지번)면적소재지전화업태명급수시설기준일자
01농업회사법인(주)우리들경상북도 예천군 감천면 복골길 38-6경상북도 예천군 감천면 포리 766128.84<NA>기타 식품제조가공업상수도전용2023-06-16
12석송식품경상북도 예천군 감천면 충효로 1369-5경상북도 예천군 감천면 포리 434-280.1054-652-2788식품제조가공업상수도전용2023-06-16
23감천G바이오경상북도 예천군 감천면 충효로 948-28경상북도 예천군 감천면 덕율리 809-1 오아시스80.55054-652-4462기타 식품제조가공업지하수전용2023-06-16
34쌀아지매경상북도 예천군 개포면 송담길 142-24경상북도 예천군 개포면 가곡리 679-3215.87054-654-4981식품제조가공업상수도전용2023-06-16
45예천보호작업장경상북도 예천군 개포면 용개로 702-37경상북도 예천군 개포면 황산리 261-1360.34054-655-9948식품제조가공업상수도전용2023-06-16
56회룡포장수진품경상북도 예천군 개포면 우감2길 47경상북도 예천군 개포면 우감리 362-6153.1054-652-4025기타 식품제조가공업상수도전용2023-06-16
67참한농원경상북도 예천군 개포면 종산골길 90-5경상북도 예천군 개포면 가곡리 500129.36054-652-7626식품제조가공업상수도전용2023-06-16
78산우물농장식품경상북도 예천군 개포면 황산2길 27-1경상북도 예천군 개포면 황산리 346-40.0<NA>식품제조가공업간이상수도2023-06-16
89예천학가산전통메주부녀회경상북도 예천군 보문면 대밭골길 48경상북도 예천군 보문면 기곡리 596-1101.36054-653-0534식품제조가공업간이상수도2023-06-16
910물래실농원경상북도 예천군 보문면 문래실길 78경상북도 예천군 보문면 우래리 57336.12054-652-1259식품제조가공업간이상수도2023-06-16
연번업소명소재지(도로명)소재지(지번)면적소재지전화업태명급수시설기준일자
5556참내음 예천경상북도 예천군 호명면 백송길 19경상북도 예천군 호명면 백송리 126-2138.0054-652-2967기타 식품제조가공업상수도전용2023-06-16
5657주식회사 신생활식품경상북도 예천군 호명면 양궁로 657경상북도 예천군 호명면 직산리 산 2610932.86054-652-0008식품제조가공업지하수전용2023-06-16
5758예천홍삼유황오리경상북도 예천군 호명면 종산길 102-48, 1층경상북도 예천군 호명면 종산리 산 69-18123.1054-654-3332기타 식품제조가공업상수도전용2023-06-16
5859예천대금터전통식품경상북도 예천군 호명면 종산길 286-54경상북도 예천군 호명면 종산리 104239.5070-4417-7717식품제조가공업지하수전용2023-06-16
5960서민프레시 농업회사법인 주식회사경상북도 예천군 호명면 피실길 30, 서민프레시경상북도 예천군 호명면 직산리 52-1 서민프레시1149.0054-653-7668식품제조가공업상수도전용2023-06-16
6061예천군양잠농업협동조합경상북도 예천군 호명면 하간산길 11-28경상북도 예천군 호명면 직산리 840699.0054-654-2806식품제조가공업간이상수도2023-06-16
6162덕향만리경상북도 예천군 효자면 도효자로 1518-25경상북도 예천군 효자면 도촌리 402-167.57<NA>기타 식품제조가공업상수도전용2023-06-16
6263장수농산금드림경상북도 예천군 효자면 무장길 35-7경상북도 예천군 효자면 보곡리 197-1166.0054-653-1889식품제조가공업간이상수도2023-06-16
6364다영농산경상북도 예천군 효자면 새별길 27-14경상북도 예천군 효자면 두성리 157-6135.0054-653-1135식품제조가공업상수도전용2023-06-16
6465산타래 농장경상북도 예천군 효자면 석항명봉로 994<NA>117.0<NA>기타 식품제조가공업간이상수도2023-06-16