Overview

Dataset statistics

Number of variables9
Number of observations168
Missing cells3
Missing cells (%)0.2%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.3 KiB
Average record size in memory74.8 B

Variable types

Categorical4
Text3
Numeric2

Dataset

Description축산물업체(판매업구분, 사업장명칭, 소재지도로명주소, 소재지지번주소, 위도, 경도, 관리기관명, 관리기관전화번호 등) 정보 공개
URLhttps://www.data.go.kr/data/3038065/fileData.do

Alerts

관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
소재지도로명주소 has 2 (1.2%) missing valuesMissing

Reproduction

Analysis started2023-12-12 08:51:01.773012
Analysis finished2023-12-12 08:51:03.070999
Duration1.3 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

판매업구분명
Categorical

Distinct7
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
식육판매업
91 
식육즉석판매가공업
20 
우유류판매업
17 
식육포장처리업
17 
축산물유통전문판매업
13 
Other values (2)
10 

Length

Max length10
Median length5
Mean length6.3571429
Min length5

Unique

Unique1 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
식육판매업 91
54.2%
식육즉석판매가공업 20
 
11.9%
우유류판매업 17
 
10.1%
식육포장처리업 17
 
10.1%
축산물유통전문판매업 13
 
7.7%
식용란수집판매업 9
 
5.4%
식육부산물전문판매업 1
 
0.6%

Length

2023-12-12T17:51:03.159478image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:51:03.301632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
식육판매업 91
54.2%
식육즉석판매가공업 20
 
11.9%
우유류판매업 17
 
10.1%
식육포장처리업 17
 
10.1%
축산물유통전문판매업 13
 
7.7%
식용란수집판매업 9
 
5.4%
식육부산물전문판매업 1
 
0.6%

사업장명칭
Text

Distinct157
Distinct (%)93.5%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-12T17:51:03.600675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length6.6130952
Min length2

Characters and Unicode

Total characters1111
Distinct characters243
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique149 ?
Unique (%)88.7%

Sample

1st row대동 제1호 정육점
2nd row충남정육점
3rd row대륙정육점
4th row현대정육점
5th row상우 정육점
ValueCountFrequency (%)
정육점 14
 
6.5%
주)노벨그린푸드 3
 
1.4%
주)자연푸드 3
 
1.4%
백정축산 3
 
1.4%
동두천대리점 2
 
0.9%
푸줏간 2
 
0.9%
축산 2
 
0.9%
동두천 2
 
0.9%
동두천점 2
 
0.9%
정육코너 2
 
0.9%
Other values (175) 180
83.7%
2023-12-12T17:51:04.127733image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
47
 
4.2%
점 45
 
4.1%
정 43
 
3.9%
육 36
 
3.2%
산 32
 
2.9%
동 28
 
2.5%
유 27
 
2.4%
천 23
 
2.1%
우 23
 
2.1%
마 23
 
2.1%
Other values (233) 784
70.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1003
90.3%
Space Separator 47
 
4.2%
Open Punctuation 20
 
1.8%
Close Punctuation 20
 
1.8%
Uppercase Letter 10
 
0.9%
Other Punctuation 5
 
0.5%
Decimal Number 3
 
0.3%
Lowercase Letter 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 45
 
4.5%
정 43
 
4.3%
육 36
 
3.6%
산 32
 
3.2%
동 28
 
2.8%
유 27
 
2.7%
천 23
 
2.3%
우 23
 
2.3%
마 23
 
2.3%
축 22
 
2.2%
Other values (215) 701
69.9%
Uppercase Letter
ValueCountFrequency (%)
O 3
30.0%
K 2
20.0%
S 1
 
10.0%
J 1
 
10.0%
W 1
 
10.0%
L 1
 
10.0%
M 1
 
10.0%
Other Punctuation
ValueCountFrequency (%)
& 2
40.0%
, 2
40.0%
. 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
m 1
33.3%
o 1
33.3%
c 1
33.3%
Decimal Number
ValueCountFrequency (%)
1 2
66.7%
2 1
33.3%
Space Separator
ValueCountFrequency (%)
47
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1003
90.3%
Common 95
 
8.6%
Latin 13
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 45
 
4.5%
정 43
 
4.3%
육 36
 
3.6%
산 32
 
3.2%
동 28
 
2.8%
유 27
 
2.7%
천 23
 
2.3%
우 23
 
2.3%
마 23
 
2.3%
축 22
 
2.2%
Other values (215) 701
69.9%
Latin
ValueCountFrequency (%)
O 3
23.1%
K 2
15.4%
S 1
 
7.7%
J 1
 
7.7%
W 1
 
7.7%
L 1
 
7.7%
m 1
 
7.7%
o 1
 
7.7%
c 1
 
7.7%
M 1
 
7.7%
Common
ValueCountFrequency (%)
47
49.5%
( 20
21.1%
) 20
21.1%
1 2
 
2.1%
& 2
 
2.1%
, 2
 
2.1%
. 1
 
1.1%
2 1
 
1.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1003
90.3%
ASCII 108
 
9.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
47
43.5%
( 20
18.5%
) 20
18.5%
O 3
 
2.8%
K 2
 
1.9%
1 2
 
1.9%
& 2
 
1.9%
, 2
 
1.9%
S 1
 
0.9%
J 1
 
0.9%
Other values (8) 8
 
7.4%
Hangul
ValueCountFrequency (%)
점 45
 
4.5%
정 43
 
4.3%
육 36
 
3.6%
산 32
 
3.2%
동 28
 
2.8%
유 27
 
2.7%
천 23
 
2.3%
우 23
 
2.3%
마 23
 
2.3%
축 22
 
2.2%
Other values (215) 701
69.9%

소재지도로명주소
Text

MISSING 

Distinct147
Distinct (%)88.6%
Missing2
Missing (%)1.2%
Memory size1.4 KiB
2023-12-12T17:51:04.503689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length51
Median length39
Mean length25.740964
Min length17

Characters and Unicode

Total characters4273
Distinct characters117
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique133 ?
Unique (%)80.1%

Sample

1st row경기도 동두천시 중앙로285번길 9 (생연동)
2nd row경기도 동두천시 동광로52번길 27 (생연동)
3rd row경기도 동두천시 동광로52번길 21 (생연동)
4th row경기도 동두천시 평화로2544번길 20 (보산동)
5th row경기도 동두천시 삼육사로 1057 (생연동)
ValueCountFrequency (%)
경기도 166
19.1%
동두천시 166
19.1%
생연동 63
 
7.3%
지행동 23
 
2.6%
평화로 18
 
2.1%
중앙로 17
 
2.0%
삼육사로 13
 
1.5%
1층 13
 
1.5%
큰시장로 12
 
1.4%
상패동 11
 
1.3%
Other values (233) 366
42.2%
2023-12-12T17:51:05.027013image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
702
 
16.4%
동 358
 
8.4%
천 182
 
4.3%
두 181
 
4.2%
시 178
 
4.2%
로 167
 
3.9%
경 166
 
3.9%
기 166
 
3.9%
도 166
 
3.9%
) 165
 
3.9%
Other values (107) 1842
43.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2495
58.4%
Space Separator 702
 
16.4%
Decimal Number 672
 
15.7%
Close Punctuation 165
 
3.9%
Open Punctuation 165
 
3.9%
Other Punctuation 38
 
0.9%
Dash Punctuation 34
 
0.8%
Uppercase Letter 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 358
14.3%
천 182
 
7.3%
두 181
 
7.3%
시 178
 
7.1%
로 167
 
6.7%
경 166
 
6.7%
기 166
 
6.7%
도 166
 
6.7%
생 83
 
3.3%
연 79
 
3.2%
Other values (91) 769
30.8%
Decimal Number
ValueCountFrequency (%)
1 143
21.3%
2 102
15.2%
3 81
12.1%
0 67
10.0%
6 57
 
8.5%
5 49
 
7.3%
4 49
 
7.3%
9 44
 
6.5%
7 41
 
6.1%
8 39
 
5.8%
Space Separator
ValueCountFrequency (%)
702
100.0%
Close Punctuation
ValueCountFrequency (%)
) 165
100.0%
Open Punctuation
ValueCountFrequency (%)
( 165
100.0%
Other Punctuation
ValueCountFrequency (%)
, 38
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Uppercase Letter
ValueCountFrequency (%)
D 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2495
58.4%
Common 1776
41.6%
Latin 2
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 358
14.3%
천 182
 
7.3%
두 181
 
7.3%
시 178
 
7.1%
로 167
 
6.7%
경 166
 
6.7%
기 166
 
6.7%
도 166
 
6.7%
생 83
 
3.3%
연 79
 
3.2%
Other values (91) 769
30.8%
Common
ValueCountFrequency (%)
702
39.5%
) 165
 
9.3%
( 165
 
9.3%
1 143
 
8.1%
2 102
 
5.7%
3 81
 
4.6%
0 67
 
3.8%
6 57
 
3.2%
5 49
 
2.8%
4 49
 
2.8%
Other values (5) 196
 
11.0%
Latin
ValueCountFrequency (%)
D 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2495
58.4%
ASCII 1778
41.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
702
39.5%
) 165
 
9.3%
( 165
 
9.3%
1 143
 
8.0%
2 102
 
5.7%
3 81
 
4.6%
0 67
 
3.8%
6 57
 
3.2%
5 49
 
2.8%
4 49
 
2.8%
Other values (6) 198
 
11.1%
Hangul
ValueCountFrequency (%)
동 358
14.3%
천 182
 
7.3%
두 181
 
7.3%
시 178
 
7.1%
로 167
 
6.7%
경 166
 
6.7%
기 166
 
6.7%
도 166
 
6.7%
생 83
 
3.3%
연 79
 
3.2%
Other values (91) 769
30.8%

소재지지번주소
Text

Distinct149
Distinct (%)89.2%
Missing1
Missing (%)0.6%
Memory size1.4 KiB
2023-12-12T17:51:05.484319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length34
Mean length19.952096
Min length13

Characters and Unicode

Total characters3332
Distinct characters82
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

Unique135 ?
Unique (%)80.8%

Sample

1st row경기도 동두천시 생연동 603
2nd row경기도 동두천시 생연동 609-14
3rd row경기도 동두천시 생연동 609-22
4th row경기도 동두천시 보산동 368-2
5th row경기도 동두천시 생연동 296-1
ValueCountFrequency (%)
경기도 167
23.9%
동두천시 167
23.9%
생연동 76
 
10.9%
지행동 29
 
4.1%
상패동 17
 
2.4%
송내동 11
 
1.6%
동두천동 9
 
1.3%
하봉암동 8
 
1.1%
상봉암동 7
 
1.0%
보산동 5
 
0.7%
Other values (175) 203
29.0%
2023-12-12T17:51:06.048529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
697
20.9%
동 348
 
10.4%
두 179
 
5.4%
천 178
 
5.3%
경 167
 
5.0%
도 167
 
5.0%
시 167
 
5.0%
기 167
 
5.0%
- 138
 
4.1%
1 134
 
4.0%
Other values (72) 990
29.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1797
53.9%
Decimal Number 698
 
20.9%
Space Separator 697
 
20.9%
Dash Punctuation 138
 
4.1%
Uppercase Letter 1
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 348
19.4%
두 179
10.0%
천 178
9.9%
경 167
9.3%
도 167
9.3%
시 167
9.3%
기 167
9.3%
생 77
 
4.3%
연 77
 
4.3%
지 32
 
1.8%
Other values (58) 238
13.2%
Decimal Number
ValueCountFrequency (%)
1 134
19.2%
2 78
11.2%
6 69
9.9%
7 65
9.3%
3 65
9.3%
5 61
8.7%
9 60
8.6%
4 57
8.2%
8 56
8.0%
0 53
 
7.6%
Space Separator
ValueCountFrequency (%)
697
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 138
100.0%
Uppercase Letter
ValueCountFrequency (%)
D 1
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1797
53.9%
Common 1534
46.0%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 348
19.4%
두 179
10.0%
천 178
9.9%
경 167
9.3%
도 167
9.3%
시 167
9.3%
기 167
9.3%
생 77
 
4.3%
연 77
 
4.3%
지 32
 
1.8%
Other values (58) 238
13.2%
Common
ValueCountFrequency (%)
697
45.4%
- 138
 
9.0%
1 134
 
8.7%
2 78
 
5.1%
6 69
 
4.5%
7 65
 
4.2%
3 65
 
4.2%
5 61
 
4.0%
9 60
 
3.9%
4 57
 
3.7%
Other values (3) 110
 
7.2%
Latin
ValueCountFrequency (%)
D 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1797
53.9%
ASCII 1535
46.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
697
45.4%
- 138
 
9.0%
1 134
 
8.7%
2 78
 
5.1%
6 69
 
4.5%
7 65
 
4.2%
3 65
 
4.2%
5 61
 
4.0%
9 60
 
3.9%
4 57
 
3.7%
Other values (4) 111
 
7.2%
Hangul
ValueCountFrequency (%)
동 348
19.4%
두 179
10.0%
천 178
9.9%
경 167
9.3%
도 167
9.3%
시 167
9.3%
기 167
9.3%
생 77
 
4.3%
연 77
 
4.3%
지 32
 
1.8%
Other values (58) 238
13.2%

위도
Real number (ℝ)

Distinct142
Distinct (%)84.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.906775
Minimum37.873179
Maximum37.970628
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T17:51:06.197444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.873179
5-th percentile37.882619
Q137.895971
median37.900524
Q337.910279
95-th percentile37.955618
Maximum37.970628
Range0.097449118
Interquartile range (IQR)0.014307923

Descriptive statistics

Standard deviation0.019815748
Coefficient of variation (CV)0.00052274951
Kurtosis2.258819
Mean37.906775
Median Absolute Deviation (MAD)0.0076737366
Skewness1.5665117
Sum6368.3382
Variance0.00039266387
MonotonicityNot monotonic
2023-12-12T17:51:06.328606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.9069022367 3
 
1.8%
37.9642868155 3
 
1.8%
37.8973436005 3
 
1.8%
37.9628973701 3
 
1.8%
37.9007190989 3
 
1.8%
37.8962569724 3
 
1.8%
37.9005094426 2
 
1.2%
37.9380250828 2
 
1.2%
37.8927570356 2
 
1.2%
37.8913981773 2
 
1.2%
Other values (132) 142
84.5%
ValueCountFrequency (%)
37.873178927 1
0.6%
37.8789367451 1
0.6%
37.8796854439 1
0.6%
37.8809459052 1
0.6%
37.8815649188 1
0.6%
37.8816878327 1
0.6%
37.8821236465 1
0.6%
37.8822824871 1
0.6%
37.8824609069 1
0.6%
37.8829138659 1
0.6%
ValueCountFrequency (%)
37.9706280445 1
 
0.6%
37.9701755441 1
 
0.6%
37.9642868155 3
1.8%
37.9628973701 3
1.8%
37.957020543 1
 
0.6%
37.95301245 1
 
0.6%
37.9487604065 1
 
0.6%
37.9467108282 1
 
0.6%
37.9465345963 1
 
0.6%
37.9457449 1
 
0.6%

경도
Real number (ℝ)

Distinct142
Distinct (%)84.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.05556
Minimum127.01662
Maximum127.10713
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T17:51:06.459572image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.01662
5-th percentile127.04319
Q1127.05174
median127.05391
Q3127.05955
95-th percentile127.06603
Maximum127.10713
Range0.09050871
Interquartile range (IQR)0.0078063638

Descriptive statistics

Standard deviation0.0085313828
Coefficient of variation (CV)6.7146865 × 10-5
Kurtosis10.241954
Mean127.05556
Median Absolute Deviation (MAD)0.0033373786
Skewness1.0898109
Sum21345.335
Variance7.2784493 × 10-5
MonotonicityNot monotonic
2023-12-12T17:51:06.870429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.0537403695 3
 
1.8%
127.065849754 3
 
1.8%
127.0426837619 3
 
1.8%
127.0658917556 3
 
1.8%
127.0505962751 3
 
1.8%
127.0518753382 3
 
1.8%
127.0514426257 2
 
1.2%
127.0512981264 2
 
1.2%
127.0517466888 2
 
1.2%
127.0546518842 2
 
1.2%
Other values (132) 142
84.5%
ValueCountFrequency (%)
127.0166248804 1
 
0.6%
127.0372790427 1
 
0.6%
127.0391100257 1
 
0.6%
127.0401289041 1
 
0.6%
127.0416121306 1
 
0.6%
127.042205668 1
 
0.6%
127.0426837619 3
1.8%
127.0441302045 2
1.2%
127.0458027299 1
 
0.6%
127.046881142 1
 
0.6%
ValueCountFrequency (%)
127.1071335903 1
 
0.6%
127.0835759914 1
 
0.6%
127.0834916714 1
 
0.6%
127.0675283152 1
 
0.6%
127.0674280038 1
 
0.6%
127.0674174345 1
 
0.6%
127.0672781282 1
 
0.6%
127.067060198 1
 
0.6%
127.0660975135 1
 
0.6%
127.0658917556 3
1.8%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
경기도 동두천시청 농업축산위생과
168 

Length

Max length17
Median length17
Mean length17
Min length17

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 동두천시청 농업축산위생과
2nd row경기도 동두천시청 농업축산위생과
3rd row경기도 동두천시청 농업축산위생과
4th row경기도 동두천시청 농업축산위생과
5th row경기도 동두천시청 농업축산위생과

Common Values

ValueCountFrequency (%)
경기도 동두천시청 농업축산위생과 168
100.0%

Length

2023-12-12T17:51:06.999435image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:51:07.097138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 168
33.3%
동두천시청 168
33.3%
농업축산위생과 168
33.3%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
031-860-2318
168 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-860-2318
2nd row031-860-2318
3rd row031-860-2318
4th row031-860-2318
5th row031-860-2318

Common Values

ValueCountFrequency (%)
031-860-2318 168
100.0%

Length

2023-12-12T17:51:07.205506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:51:07.336449image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-860-2318 168
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-06-30
168 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-06-30
2nd row2023-06-30
3rd row2023-06-30
4th row2023-06-30
5th row2023-06-30

Common Values

ValueCountFrequency (%)
2023-06-30 168
100.0%

Length

2023-12-12T17:51:07.464793image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:51:07.572600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-06-30 168
100.0%

Interactions

2023-12-12T17:51:02.422395image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:51:02.211313image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:51:02.523614image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:51:02.315656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:51:07.636474image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
판매업구분명위도경도
판매업구분명1.0000.3590.357
위도0.3591.0000.495
경도0.3570.4951.000
2023-12-12T17:51:07.744487image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도판매업구분명
위도1.0000.0700.188
경도0.0701.0000.130
판매업구분명0.1880.1301.000

Missing values

2023-12-12T17:51:02.683761image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:51:02.865253image/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.
2023-12-12T17:51:03.016157image/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

판매업구분명사업장명칭소재지도로명주소소재지지번주소위도경도관리기관명관리기관전화번호데이터기준일자
0식육판매업대동 제1호 정육점경기도 동두천시 중앙로285번길 9 (생연동)경기도 동두천시 생연동 60337.906902127.05374경기도 동두천시청 농업축산위생과031-860-23182023-06-30
1식육판매업충남정육점경기도 동두천시 동광로52번길 27 (생연동)경기도 동두천시 생연동 609-1437.907303127.053712경기도 동두천시청 농업축산위생과031-860-23182023-06-30
2식육판매업대륙정육점경기도 동두천시 동광로52번길 21 (생연동)경기도 동두천시 생연동 609-2237.907584127.053853경기도 동두천시청 농업축산위생과031-860-23182023-06-30
3식육판매업현대정육점경기도 동두천시 평화로2544번길 20 (보산동)경기도 동두천시 보산동 368-237.914789127.058545경기도 동두천시청 농업축산위생과031-860-23182023-06-30
4식육판매업상우 정육점경기도 동두천시 삼육사로 1057 (생연동)경기도 동두천시 생연동 296-137.900022127.06706경기도 동두천시청 농업축산위생과031-860-23182023-06-30
5식육판매업모랫말정육식당경기도 동두천시 평화로2313번길 58 (생연동)경기도 동두천시 생연동 747-137.896016127.056845경기도 동두천시청 농업축산위생과031-860-23182023-06-30
6식육판매업경일 정육점경기도 동두천시 중앙로 215 (생연동)경기도 동두천시 생연동 694-537.900814127.052629경기도 동두천시청 농업축산위생과031-860-23182023-06-30
7식육판매업월드 정육점경기도 동두천시 못골로 47 (생연동)경기도 동두천시 생연동 254-337.902283127.067528경기도 동두천시청 농업축산위생과031-860-23182023-06-30
8식육판매업매봉 정육점경기도 동두천시 평화로 3028-1 (하봉암동)경기도 동두천시 하봉암동 316-2637.957021127.062638경기도 동두천시청 농업축산위생과031-860-23182023-06-30
9식육판매업신푸줏간.com경기도 동두천시 중앙로 221 (생연동)경기도 동두천시 생연동 689-1837.901359127.052705경기도 동두천시청 농업축산위생과031-860-23182023-06-30
판매업구분명사업장명칭소재지도로명주소소재지지번주소위도경도관리기관명관리기관전화번호데이터기준일자
158식육즉석판매가공업요리하는 정육점경기도 동두천시 행선로20번길 76 (지행동)경기도 동두천시 지행동 170-337.888435127.063739경기도 동두천시청 농업축산위생과031-860-23182023-06-30
159식육즉석판매가공업고기팜(동두천)경기도 동두천시 행선로 26, 금마트 (지행동)경기도 동두천시 지행동 34537.890699127.061178경기도 동두천시청 농업축산위생과031-860-23182023-06-30
160식육즉석판매가공업안녕,고기경기도 동두천시 장고갯로 153, 1층 (생연동)경기도 동두천시 생연동 218-537.908715127.065529경기도 동두천시청 농업축산위생과031-860-23182023-06-30
161식육즉석판매가공업행복한고기마을경기도 동두천시 중앙로 126, 생연프라자 1층 105호 (지행동)경기도 동두천시 지행동 693-2 생연프라자 105호37.89275127.052517경기도 동두천시청 농업축산위생과031-860-23182023-06-30
162식육즉석판매가공업도니&하누경기도 동두천시 생연로 91, 1층 103호 (생연동, 동두천 센트레빌)경기도 동두천시 생연동 833 동두천 센트레빌37.901166127.049378경기도 동두천시청 농업축산위생과031-860-23182023-06-30
163식육즉석판매가공업삼형제축산경기도 동두천시 지행로 50, 성지에스앤비타워 1층 110호 (지행동)경기도 동두천시 지행동 718-2 성지에스앤비타워37.892091127.052606경기도 동두천시청 농업축산위생과031-860-23182023-06-30
164식육즉석판매가공업아리랑갈비경기도 동두천시 평화로2261번길 27, 3층 (지행동)경기도 동두천시 지행동 738-437.890528127.056072경기도 동두천시청 농업축산위생과031-860-23182023-06-30
165식육즉석판매가공업더좋은 고기마을경기도 동두천시 중앙로 130(지행동)경기도 동두천시 지행동 693-137.893027127.05256경기도 동두천시청 농업축산위생과031-860-23182023-06-30
166식육즉석판매가공업고기이야기경기도 동두천시 중앙로 116, 두손프라자 (지행동)경기도 동두천시 지행동 718-1 두손프라자 103호37.891768127.052507경기도 동두천시청 농업축산위생과031-860-23182023-06-30
167식육즉석판매가공업친절한 창선씨네 정육점경기도 동두천시 삼육사로 1007-8(생연동)경기도 동두천시 생연동 397-137.899698127.061971경기도 동두천시청 농업축산위생과031-860-23182023-06-30