Overview

Dataset statistics

Number of variables8
Number of observations139
Missing cells9
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.1 KiB
Average record size in memory66.9 B

Variable types

Categorical2
Text4
Numeric2

Dataset

Description김해시 동물의약품을 취급하는 동물약국 및 동믈의약품도매상 현황(업무구분, 사업장명, 영업상태,전화번호, 지번주소, 도로명주소,위도 및 경도)
Author경상남도 김해시
URLhttps://www.data.go.kr/data/15033372/fileData.do

Alerts

업무구분 is highly imbalanced (57.6%)Imbalance
전화번호 has 9 (6.5%) missing valuesMissing

Reproduction

Analysis started2023-12-12 22:55:28.833828
Analysis finished2023-12-12 22:55:29.983084
Duration1.15 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업무구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
동물약국
127 
동물용의약품도매상
 
12

Length

Max length9
Median length4
Mean length4.4316547
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동물약국 127
91.4%
동물용의약품도매상 12
 
8.6%

Length

2023-12-13T07:55:30.059932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:55:30.209924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동물약국 127
91.4%
동물용의약품도매상 12
 
8.6%

사업장명
Text

Distinct126
Distinct (%)90.6%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-13T07:55:30.506272image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length9
Mean length5.3453237
Min length3

Characters and Unicode

Total characters743
Distinct characters165
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

Unique113 ?
Unique (%)81.3%

Sample

1st row태화당약국
2nd row소나무약국
3rd row누리팜약국
4th row사랑약국
5th row동인당약국
ValueCountFrequency (%)
약국 3
 
2.0%
서울약국 2
 
1.4%
소담온누리약국 2
 
1.4%
정성약국 2
 
1.4%
김해약국 2
 
1.4%
신세계온누리약국 2
 
1.4%
리인약국 2
 
1.4%
한신온누리약국 2
 
1.4%
신한약국 2
 
1.4%
동원약국 2
 
1.4%
Other values (123) 127
85.8%
2023-12-13T07:55:30.959859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
약 137
 
18.4%
국 126
 
17.0%
동 19
 
2.6%
리 19
 
2.6%
한 17
 
2.3%
누 12
 
1.6%
온 12
 
1.6%
품 10
 
1.3%
김 10
 
1.3%
물 9
 
1.2%
Other values (155) 372
50.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 718
96.6%
Space Separator 9
 
1.2%
Lowercase Letter 6
 
0.8%
Decimal Number 3
 
0.4%
Uppercase Letter 3
 
0.4%
Close Punctuation 2
 
0.3%
Open Punctuation 1
 
0.1%
Dash Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
약 137
 
19.1%
국 126
 
17.5%
동 19
 
2.6%
리 19
 
2.6%
한 17
 
2.4%
누 12
 
1.7%
온 12
 
1.7%
품 10
 
1.4%
김 10
 
1.4%
물 9
 
1.3%
Other values (140) 347
48.3%
Lowercase Letter
ValueCountFrequency (%)
e 1
16.7%
r 1
16.7%
o 1
16.7%
t 1
16.7%
s 1
16.7%
w 1
16.7%
Uppercase Letter
ValueCountFrequency (%)
B 1
33.3%
C 1
33.3%
A 1
33.3%
Decimal Number
ValueCountFrequency (%)
3 2
66.7%
6 1
33.3%
Space Separator
ValueCountFrequency (%)
9
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 718
96.6%
Common 16
 
2.2%
Latin 9
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
약 137
 
19.1%
국 126
 
17.5%
동 19
 
2.6%
리 19
 
2.6%
한 17
 
2.4%
누 12
 
1.7%
온 12
 
1.7%
품 10
 
1.4%
김 10
 
1.4%
물 9
 
1.3%
Other values (140) 347
48.3%
Latin
ValueCountFrequency (%)
B 1
11.1%
e 1
11.1%
r 1
11.1%
o 1
11.1%
t 1
11.1%
s 1
11.1%
C 1
11.1%
A 1
11.1%
w 1
11.1%
Common
ValueCountFrequency (%)
9
56.2%
) 2
 
12.5%
3 2
 
12.5%
( 1
 
6.2%
- 1
 
6.2%
6 1
 
6.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 718
96.6%
ASCII 25
 
3.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
약 137
 
19.1%
국 126
 
17.5%
동 19
 
2.6%
리 19
 
2.6%
한 17
 
2.4%
누 12
 
1.7%
온 12
 
1.7%
품 10
 
1.4%
김 10
 
1.4%
물 9
 
1.3%
Other values (140) 347
48.3%
ASCII
ValueCountFrequency (%)
9
36.0%
) 2
 
8.0%
3 2
 
8.0%
( 1
 
4.0%
B 1
 
4.0%
e 1
 
4.0%
r 1
 
4.0%
o 1
 
4.0%
t 1
 
4.0%
s 1
 
4.0%
Other values (5) 5
20.0%

영업상태
Categorical

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
영업
111 
폐업
28 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업 111
79.9%
폐업 28
 
20.1%

Length

2023-12-13T07:55:31.453418image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T07:55:31.574654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업 111
79.9%
폐업 28
 
20.1%

전화번호
Text

MISSING 

Distinct118
Distinct (%)90.8%
Missing9
Missing (%)6.5%
Memory size1.2 KiB
2023-12-13T07:55:31.880492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.115385
Min length12

Characters and Unicode

Total characters1575
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

Unique106 ?
Unique (%)81.5%

Sample

1st row055-329-3257
2nd row055-328-6784
3rd row055-323-2303
4th row055-326-5300
5th row055-338-6001
ValueCountFrequency (%)
055-339-3344 2
 
1.5%
055-314-7088 2
 
1.5%
055-312-8603 2
 
1.5%
055-321-5964 2
 
1.5%
055-329-4900 2
 
1.5%
055-327-6688 2
 
1.5%
055-325-7007 2
 
1.5%
055-342-8734 2
 
1.5%
055-905-8578 2
 
1.5%
055-328-6784 2
 
1.5%
Other values (108) 110
84.6%
2023-12-13T07:55:32.387253image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5 303
19.2%
- 260
16.5%
3 224
14.2%
0 223
14.2%
2 114
 
7.2%
7 88
 
5.6%
4 86
 
5.5%
1 79
 
5.0%
6 74
 
4.7%
8 68
 
4.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1315
83.5%
Dash Punctuation 260
 
16.5%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 303
23.0%
3 224
17.0%
0 223
17.0%
2 114
 
8.7%
7 88
 
6.7%
4 86
 
6.5%
1 79
 
6.0%
6 74
 
5.6%
8 68
 
5.2%
9 56
 
4.3%
Dash Punctuation
ValueCountFrequency (%)
- 260
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1575
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
5 303
19.2%
- 260
16.5%
3 224
14.2%
0 223
14.2%
2 114
 
7.2%
7 88
 
5.6%
4 86
 
5.5%
1 79
 
5.0%
6 74
 
4.7%
8 68
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1575
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5 303
19.2%
- 260
16.5%
3 224
14.2%
0 223
14.2%
2 114
 
7.2%
7 88
 
5.6%
4 86
 
5.5%
1 79
 
5.0%
6 74
 
4.7%
8 68
 
4.3%

지번주소
Text

Distinct131
Distinct (%)94.2%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-13T07:55:32.774320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length35
Mean length25.057554
Min length12

Characters and Unicode

Total characters3483
Distinct characters129
Distinct categories5 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique123 ?
Unique (%)88.5%

Sample

1st row경상남도 김해시 생림면 봉림리 576번지 3호
2nd row경상남도 김해시 외동 1254번지 4호
3rd row경상남도 김해시 삼정동 378번지
4th row경상남도 김해시 어방동 357번지 2호
5th row경상남도 김해시 외동 1256번지 3호 동인당약국
ValueCountFrequency (%)
경상남도 139
 
18.3%
김해시 139
 
18.3%
3호 25
 
3.3%
4호 16
 
2.1%
진영읍 16
 
2.1%
1호 16
 
2.1%
어방동 14
 
1.8%
외동 13
 
1.7%
내동 12
 
1.6%
구산동 11
 
1.4%
Other values (199) 358
47.2%
2023-12-13T07:55:33.331757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
757
21.7%
1 171
 
4.9%
상 149
 
4.3%
경 142
 
4.1%
김 142
 
4.1%
해 142
 
4.1%
시 140
 
4.0%
남 139
 
4.0%
도 139
 
4.0%
지 137
 
3.9%
Other values (119) 1425
40.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2048
58.8%
Space Separator 757
 
21.7%
Decimal Number 671
 
19.3%
Dash Punctuation 4
 
0.1%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
상 149
 
7.3%
경 142
 
6.9%
김 142
 
6.9%
해 142
 
6.9%
시 140
 
6.8%
남 139
 
6.8%
도 139
 
6.8%
지 137
 
6.7%
번 134
 
6.5%
호 133
 
6.5%
Other values (105) 651
31.8%
Decimal Number
ValueCountFrequency (%)
1 171
25.5%
3 82
12.2%
4 75
11.2%
2 72
10.7%
0 60
 
8.9%
6 51
 
7.6%
8 48
 
7.2%
7 40
 
6.0%
5 40
 
6.0%
9 32
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
B 2
66.7%
J 1
33.3%
Space Separator
ValueCountFrequency (%)
757
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2048
58.8%
Common 1432
41.1%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
상 149
 
7.3%
경 142
 
6.9%
김 142
 
6.9%
해 142
 
6.9%
시 140
 
6.8%
남 139
 
6.8%
도 139
 
6.8%
지 137
 
6.7%
번 134
 
6.5%
호 133
 
6.5%
Other values (105) 651
31.8%
Common
ValueCountFrequency (%)
757
52.9%
1 171
 
11.9%
3 82
 
5.7%
4 75
 
5.2%
2 72
 
5.0%
0 60
 
4.2%
6 51
 
3.6%
8 48
 
3.4%
7 40
 
2.8%
5 40
 
2.8%
Other values (2) 36
 
2.5%
Latin
ValueCountFrequency (%)
B 2
66.7%
J 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2048
58.8%
ASCII 1435
41.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
757
52.8%
1 171
 
11.9%
3 82
 
5.7%
4 75
 
5.2%
2 72
 
5.0%
0 60
 
4.2%
6 51
 
3.6%
8 48
 
3.3%
7 40
 
2.8%
5 40
 
2.8%
Other values (4) 39
 
2.7%
Hangul
ValueCountFrequency (%)
상 149
 
7.3%
경 142
 
6.9%
김 142
 
6.9%
해 142
 
6.9%
시 140
 
6.8%
남 139
 
6.8%
도 139
 
6.8%
지 137
 
6.7%
번 134
 
6.5%
호 133
 
6.5%
Other values (105) 651
31.8%

도로명주소
Text

Distinct134
Distinct (%)96.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-13T07:55:33.683225image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length38
Mean length27.705036
Min length15

Characters and Unicode

Total characters3851
Distinct characters151
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

Unique129 ?
Unique (%)92.8%

Sample

1st row경상남도 김해시 생림면 봉림로 29
2nd row경상남도 김해시 내외중앙로 27 (외동)
3rd row경상남도 김해시 김해대로2492번길 20 메가마트 김해점 1층
4th row경상남도 김해시 활천로 182 (어방동)
5th row경상남도 김해시 내외중앙로 44 (외동)
ValueCountFrequency (%)
경상남도 139
 
17.1%
김해시 138
 
17.0%
1층 33
 
4.1%
진영읍 16
 
2.0%
내동 12
 
1.5%
외동 12
 
1.5%
내외중앙로 11
 
1.4%
구산동 11
 
1.4%
어방동 11
 
1.4%
삼계동 10
 
1.2%
Other values (244) 418
51.5%
2023-12-13T07:55:34.222034image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
672
 
17.5%
1 194
 
5.0%
해 150
 
3.9%
김 149
 
3.9%
상 146
 
3.8%
경 144
 
3.7%
남 140
 
3.6%
시 140
 
3.6%
로 139
 
3.6%
도 139
 
3.6%
Other values (141) 1838
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2210
57.4%
Space Separator 672
 
17.5%
Decimal Number 641
 
16.6%
Close Punctuation 111
 
2.9%
Open Punctuation 111
 
2.9%
Other Punctuation 80
 
2.1%
Dash Punctuation 24
 
0.6%
Uppercase Letter 2
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
해 150
 
6.8%
김 149
 
6.7%
상 146
 
6.6%
경 144
 
6.5%
남 140
 
6.3%
시 140
 
6.3%
로 139
 
6.3%
도 139
 
6.3%
동 130
 
5.9%
번 53
 
2.4%
Other values (124) 880
39.8%
Decimal Number
ValueCountFrequency (%)
1 194
30.3%
2 86
13.4%
0 76
 
11.9%
3 72
 
11.2%
4 42
 
6.6%
6 40
 
6.2%
5 36
 
5.6%
7 34
 
5.3%
8 33
 
5.1%
9 28
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
B 1
50.0%
J 1
50.0%
Space Separator
ValueCountFrequency (%)
672
100.0%
Close Punctuation
ValueCountFrequency (%)
) 111
100.0%
Open Punctuation
ValueCountFrequency (%)
( 111
100.0%
Other Punctuation
ValueCountFrequency (%)
, 80
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 24
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2210
57.4%
Common 1639
42.6%
Latin 2
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
해 150
 
6.8%
김 149
 
6.7%
상 146
 
6.6%
경 144
 
6.5%
남 140
 
6.3%
시 140
 
6.3%
로 139
 
6.3%
도 139
 
6.3%
동 130
 
5.9%
번 53
 
2.4%
Other values (124) 880
39.8%
Common
ValueCountFrequency (%)
672
41.0%
1 194
 
11.8%
) 111
 
6.8%
( 111
 
6.8%
2 86
 
5.2%
, 80
 
4.9%
0 76
 
4.6%
3 72
 
4.4%
4 42
 
2.6%
6 40
 
2.4%
Other values (5) 155
 
9.5%
Latin
ValueCountFrequency (%)
B 1
50.0%
J 1
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2210
57.4%
ASCII 1641
42.6%

Most frequent character per block

ASCII
ValueCountFrequency (%)
672
41.0%
1 194
 
11.8%
) 111
 
6.8%
( 111
 
6.8%
2 86
 
5.2%
, 80
 
4.9%
0 76
 
4.6%
3 72
 
4.4%
4 42
 
2.6%
6 40
 
2.4%
Other values (7) 157
 
9.6%
Hangul
ValueCountFrequency (%)
해 150
 
6.8%
김 149
 
6.7%
상 146
 
6.6%
경 144
 
6.5%
남 140
 
6.3%
시 140
 
6.3%
로 139
 
6.3%
도 139
 
6.3%
동 130
 
5.9%
번 53
 
2.4%
Other values (124) 880
39.8%

위도
Real number (ℝ)

Distinct129
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.235588
Minimum35.167045
Maximum35.326989
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-13T07:55:34.400876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.167045
5-th percentile35.171157
Q135.226
median35.237366
Q335.24904
95-th percentile35.307194
Maximum35.326989
Range0.15994434
Interquartile range (IQR)0.023039965

Descriptive statistics

Standard deviation0.038187046
Coefficient of variation (CV)0.0010837636
Kurtosis-0.10533425
Mean35.235588
Median Absolute Deviation (MAD)0.01168161
Skewness0.12839657
Sum4897.7467
Variance0.0014582505
MonotonicityNot monotonic
2023-12-13T07:55:34.597977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.24148935 2
 
1.4%
35.16797219 2
 
1.4%
35.24456962 2
 
1.4%
35.23572005 2
 
1.4%
35.19625072 2
 
1.4%
35.17125668 2
 
1.4%
35.30744636 2
 
1.4%
35.23736552 2
 
1.4%
35.23167652 2
 
1.4%
35.23240169 2
 
1.4%
Other values (119) 119
85.6%
ValueCountFrequency (%)
35.16704478 1
0.7%
35.16719651 1
0.7%
35.16797219 2
1.4%
35.17026079 1
0.7%
35.17050213 1
0.7%
35.17104834 1
0.7%
35.17116955 1
0.7%
35.17125668 2
1.4%
35.17147926 1
0.7%
35.17182189 1
0.7%
ValueCountFrequency (%)
35.32698912 1
0.7%
35.31208661 1
0.7%
35.31205273 1
0.7%
35.30832133 1
0.7%
35.30748586 1
0.7%
35.30744636 2
1.4%
35.30716592 1
0.7%
35.3066899 1
0.7%
35.30667844 1
0.7%
35.30566834 1
0.7%

경도
Real number (ℝ)

Distinct129
Distinct (%)92.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.84617
Minimum128.72622
Maximum128.92258
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-13T07:55:34.751820image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.72622
5-th percentile128.73301
Q1128.81461
median128.86597
Q3128.88222
95-th percentile128.91078
Maximum128.92258
Range0.1963652
Interquartile range (IQR)0.06760815

Descriptive statistics

Standard deviation0.05407952
Coefficient of variation (CV)0.00041972159
Kurtosis-0.1270391
Mean128.84617
Median Absolute Deviation (MAD)0.0382056
Skewness-0.85621575
Sum17909.618
Variance0.0029245945
MonotonicityNot monotonic
2023-12-13T07:55:34.918171image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.9002193 2
 
1.4%
128.8268463 2
 
1.4%
128.904176 2
 
1.4%
128.9182393 2
 
1.4%
128.8160422 2
 
1.4%
128.8143978 2
 
1.4%
128.7348299 2
 
1.4%
128.8675541 2
 
1.4%
128.8801822 2
 
1.4%
128.8658972 2
 
1.4%
Other values (119) 119
85.6%
ValueCountFrequency (%)
128.7262173 1
0.7%
128.7277653 1
0.7%
128.7294586 1
0.7%
128.7295934 1
0.7%
128.7295957 1
0.7%
128.7298049 1
0.7%
128.7302743 1
0.7%
128.7333101 1
0.7%
128.7337021 1
0.7%
128.7342516 1
0.7%
ValueCountFrequency (%)
128.9225825 1
0.7%
128.9224295 1
0.7%
128.9182393 2
1.4%
128.9110757 1
0.7%
128.9109028 1
0.7%
128.9108942 1
0.7%
128.9107663 1
0.7%
128.9107127 1
0.7%
128.908969 1
0.7%
128.9088516 1
0.7%

Interactions

2023-12-13T07:55:29.543895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:55:29.310202image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:55:29.652877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T07:55:29.426214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T07:55:35.030364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
업무구분영업상태위도경도
업무구분1.0000.0000.2510.270
영업상태0.0001.0000.0880.086
위도0.2510.0881.0000.903
경도0.2700.0860.9031.000
2023-12-13T07:55:35.120926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
영업상태업무구분
영업상태1.0000.000
업무구분0.0001.000
2023-12-13T07:55:35.209876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도업무구분영업상태
위도1.0000.1040.2430.083
경도0.1041.0000.2630.092
업무구분0.2430.2631.0000.000
영업상태0.0830.0920.0001.000

Missing values

2023-12-13T07:55:29.799965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T07:55:29.917349image/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

업무구분사업장명영업상태전화번호지번주소도로명주소위도경도
0동물약국태화당약국영업055-329-3257경상남도 김해시 생림면 봉림리 576번지 3호경상남도 김해시 생림면 봉림로 2935.326989128.848791
1동물약국소나무약국영업055-328-6784경상남도 김해시 외동 1254번지 4호경상남도 김해시 내외중앙로 27 (외동)35.232402128.865897
2동물약국누리팜약국영업055-323-2303경상남도 김해시 삼정동 378번지경상남도 김해시 김해대로2492번길 20 메가마트 김해점 1층35.226458128.900954
3동물약국사랑약국영업<NA>경상남도 김해시 어방동 357번지 2호경상남도 김해시 활천로 182 (어방동)35.241251128.9007
4동물약국동인당약국영업055-326-5300경상남도 김해시 외동 1256번지 3호 동인당약국경상남도 김해시 내외중앙로 44 (외동)35.233882128.866891
5동물약국김해동물약국영업<NA>경상남도 김해시 외동 883번지경상남도 김해시 분성로 14 (외동)35.22916128.848923
6동물약국팜서울약국영업055-338-6001경상남도 김해시 내동 1140번지 3호경상남도 김해시 내외중앙로 84 (내동)35.237366128.867554
7동물약국늘푸른약국영업055-321-5815경상남도 김해시 삼방동 185번지 7호경상남도 김해시 삼안로195번길 30 (삼방동)35.245084128.908852
8동물약국큰보람약국영업070-4238-8487경상남도 김해시 대청동 62번지 6호 다성빌딩 1층 110호경상남도 김해시 장유면 번화1로80번길 15 (다성빌딩 1층 110호)35.167972128.826846
9동물약국참조은약국영업055-333-0577경상남도 김해시 삼방동 688번지 10호 참조은약국경상남도 김해시 삼안로 223 (삼방동)35.247926128.910894
업무구분사업장명영업상태전화번호지번주소도로명주소위도경도
129동물용의약품도매상김해가축약품영업055-331-2134경상남도 김해시 구산동 1058번지 7호경상남도 김해시 구산로5번길 5 (구산동)35.24938128.869012
130동물용의약품도매상경남가축약품영업055-334-6677경상남도 김해시 삼계동 1448번지 13호경상남도 김해시 가야로147번길 16 (삼계동)35.264518128.873416
131동물용의약품도매상제일가축약품영업055-338-0201경상남도 김해시 구산동 274번지 18호경상남도 김해시 구산로30번길 4-18 (구산동)35.248483128.870837
132동물용의약품도매상영광가축약품(주)영업055-333-1435경상남도 김해시 삼계동 1436번지 2호경상남도 김해시 삼계중앙로5번길 1-36 (삼계동)35.261621128.865153
133동물용의약품도매상주)팜스애니멀헬스영업055-337-7533경상남도 김해시 구산동 1054번지 11호경상남도 김해시 구산로5번길 35-41 (구산동)35.252828128.868345
134동물용의약품도매상삼호가축약품영업055-333-6369경상남도 김해시 서상동 263번지 5호경상남도 김해시 분성로308번길 17 (서상동)35.231677128.880182
135동물용의약품도매상삼호동물약품폐업055-333-6369경상남도 김해시 서상동 263번지 5호경상남도 김해시 분성로308번길 1735.231677128.880182
136동물용의약품도매상녹원동물약품폐업055-337-7533경상남도 김해시 구산동 282번지 9호경상남도 김해시 구산로10번길 17-5 (구산동)35.247511128.870596
137동물용의약품도매상영화동물약품폐업055-327-6445경상남도 김해시 구산동 308번지 19호경상남도 김해시 구산로42번길 38-1 (구산동)35.245082128.872438
138동물용의약품도매상주식회사 경남팜폐업055-336-4066경상남도 김해시 부원동 608번지 9호경상남도 김해시 가락로16번길 7 (부원동)35.228058128.88323