Overview

Dataset statistics

Number of variables9
Number of observations172
Missing cells89
Missing cells (%)5.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory12.6 KiB
Average record size in memory74.7 B

Variable types

Text4
DateTime2
Categorical1
Numeric2

Dataset

Description전북특별자치도 전주시 내 동물약국을 제공하며 사업장명, 인허가일자, 영업상태명 등을 제공합니다.항목 : 사업장명칭, 인허가일자, 영업상태명, 소재지전화번호, 도로명주소, 지번주소, 위도, 경도 등제공부서 : 동물복지과
Author전북특별자치도 전주시
URLhttps://www.data.go.kr/data/15053270/fileData.do

Alerts

영업상태명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
소재지전화 has 75 (43.6%) missing valuesMissing
지번주소 has 2 (1.2%) missing valuesMissing
위도 has 6 (3.5%) missing valuesMissing
경도 has 6 (3.5%) missing valuesMissing
도로명주소 has unique valuesUnique

Reproduction

Analysis started2024-03-15 01:17:30.024037
Analysis finished2024-03-15 01:17:32.454315
Duration2.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명
Text

Distinct171
Distinct (%)99.4%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-03-15T10:17:33.269861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length5.2383721
Min length3

Characters and Unicode

Total characters901
Distinct characters188
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique170 ?
Unique (%)98.8%

Sample

1st row21세기종합약국
2nd row365일박사약국
3rd row건강솔약국
4th row건강약국
5th row건강종합약국
ValueCountFrequency (%)
실로암약국 2
 
1.1%
은하수약국 1
 
0.6%
온정약국 1
 
0.6%
올리브약국 1
 
0.6%
옵티마런던약국 1
 
0.6%
완산종로약국 1
 
0.6%
우리들약국 1
 
0.6%
우리약국 1
 
0.6%
우리정다운약국 1
 
0.6%
우리종합약국 1
 
0.6%
Other values (163) 163
93.7%
2024-03-15T10:17:34.414214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
국 174
 
19.3%
약 173
 
19.2%
리 17
 
1.9%
온 11
 
1.2%
자 11
 
1.2%
코 10
 
1.1%
로 10
 
1.1%
전 10
 
1.1%
다 10
 
1.1%
종 10
 
1.1%
Other values (178) 465
51.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 890
98.8%
Decimal Number 8
 
0.9%
Space Separator 2
 
0.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
국 174
 
19.6%
약 173
 
19.4%
리 17
 
1.9%
온 11
 
1.2%
자 11
 
1.2%
코 10
 
1.1%
로 10
 
1.1%
전 10
 
1.1%
다 10
 
1.1%
종 10
 
1.1%
Other values (171) 454
51.0%
Decimal Number
ValueCountFrequency (%)
3 2
25.0%
5 2
25.0%
6 2
25.0%
1 1
12.5%
2 1
12.5%
Space Separator
ValueCountFrequency (%)
2
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 890
98.8%
Common 10
 
1.1%
Latin 1
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
국 174
 
19.6%
약 173
 
19.4%
리 17
 
1.9%
온 11
 
1.2%
자 11
 
1.2%
코 10
 
1.1%
로 10
 
1.1%
전 10
 
1.1%
다 10
 
1.1%
종 10
 
1.1%
Other values (171) 454
51.0%
Common
ValueCountFrequency (%)
2
20.0%
3 2
20.0%
5 2
20.0%
6 2
20.0%
1 1
10.0%
2 1
10.0%
Latin
ValueCountFrequency (%)
E 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 890
98.8%
ASCII 11
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
국 174
 
19.6%
약 173
 
19.4%
리 17
 
1.9%
온 11
 
1.2%
자 11
 
1.2%
코 10
 
1.1%
로 10
 
1.1%
전 10
 
1.1%
다 10
 
1.1%
종 10
 
1.1%
Other values (171) 454
51.0%
ASCII
ValueCountFrequency (%)
2
18.2%
3 2
18.2%
5 2
18.2%
6 2
18.2%
1 1
9.1%
2 1
9.1%
E 1
9.1%

인허가일자
Date

Distinct149
Distinct (%)86.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2013-08-09 00:00:00
Maximum2023-11-01 00:00:00
2024-03-15T10:17:34.657726image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:17:34.937300image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
영업/정상
172 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업/정상 172
100.0%

Length

2024-03-15T10:17:35.182930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T10:17:35.399195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업/정상 172
100.0%

소재지전화
Text

MISSING 

Distinct96
Distinct (%)99.0%
Missing75
Missing (%)43.6%
Memory size1.5 KiB
2024-03-15T10:17:36.223874image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.020619
Min length12

Characters and Unicode

Total characters1166
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

Unique95 ?
Unique (%)97.9%

Sample

1st row063-274-4949
2nd row063-226-3650
3rd row063-286-6220
4th row063-242-4504
5th row063-255-8765
ValueCountFrequency (%)
063-247-1300 2
 
2.1%
063-251-3762 1
 
1.0%
063-274-4949 1
 
1.0%
063-255-1133 1
 
1.0%
063-278-3060 1
 
1.0%
063-241-3538 1
 
1.0%
063-275-9115 1
 
1.0%
063-252-2332 1
 
1.0%
063-228-9278 1
 
1.0%
063-247-3367 1
 
1.0%
Other values (86) 86
88.7%
2024-03-15T10:17:37.544590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 194
16.6%
2 180
15.4%
0 155
13.3%
3 149
12.8%
6 127
10.9%
7 85
7.3%
5 82
7.0%
8 61
 
5.2%
1 54
 
4.6%
4 44
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 972
83.4%
Dash Punctuation 194
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 180
18.5%
0 155
15.9%
3 149
15.3%
6 127
13.1%
7 85
8.7%
5 82
8.4%
8 61
 
6.3%
1 54
 
5.6%
4 44
 
4.5%
9 35
 
3.6%
Dash Punctuation
ValueCountFrequency (%)
- 194
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1166
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 194
16.6%
2 180
15.4%
0 155
13.3%
3 149
12.8%
6 127
10.9%
7 85
7.3%
5 82
7.0%
8 61
 
5.2%
1 54
 
4.6%
4 44
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1166
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 194
16.6%
2 180
15.4%
0 155
13.3%
3 149
12.8%
6 127
10.9%
7 85
7.3%
5 82
7.0%
8 61
 
5.2%
1 54
 
4.6%
4 44
 
3.8%

도로명주소
Text

UNIQUE 

Distinct172
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2024-03-15T10:17:39.090214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length61
Median length48
Mean length36.412791
Min length27

Characters and Unicode

Total characters6263
Distinct characters243
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique172 ?
Unique (%)100.0%

Sample

1st row전북특별자치도 전주시 덕진구 기린대로 400-8 (금암동)
2nd row전북특별자치도 전주시 덕진구 기지로 77, 302동동 A-113호 (장동, 전북혁신도시 더 M city 센텀)
3rd row전북특별자치도 전주시 덕진구 사평로 38 (덕진동1가)
4th row전북특별자치도 전주시 완산구 장승배기로 262, 평화주공2단지상가동 105호 (평화동1가)
5th row전북특별자치도 전주시 덕진구 소리로 192 (호성동1가)
ValueCountFrequency (%)
전북특별자치도 172
 
14.5%
전주시 172
 
14.5%
완산구 99
 
8.3%
덕진구 73
 
6.1%
1층 44
 
3.7%
효자동1가 15
 
1.3%
효자동2가 14
 
1.2%
서신동 14
 
1.2%
송천동2가 12
 
1.0%
백제대로 12
 
1.0%
Other values (349) 560
47.2%
2024-03-15T10:17:41.449919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1015
 
16.2%
전 360
 
5.7%
1 226
 
3.6%
자 224
 
3.6%
동 186
 
3.0%
주 180
 
2.9%
시 177
 
2.8%
북 177
 
2.8%
도 177
 
2.8%
치 174
 
2.8%
Other values (233) 3367
53.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3997
63.8%
Space Separator 1015
 
16.2%
Decimal Number 768
 
12.3%
Close Punctuation 172
 
2.7%
Open Punctuation 172
 
2.7%
Other Punctuation 112
 
1.8%
Dash Punctuation 15
 
0.2%
Uppercase Letter 8
 
0.1%
Lowercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 360
 
9.0%
자 224
 
5.6%
동 186
 
4.7%
주 180
 
4.5%
시 177
 
4.4%
북 177
 
4.4%
도 177
 
4.4%
치 174
 
4.4%
구 174
 
4.4%
별 172
 
4.3%
Other values (207) 1996
49.9%
Decimal Number
ValueCountFrequency (%)
1 226
29.4%
2 136
17.7%
0 80
 
10.4%
3 64
 
8.3%
4 58
 
7.6%
5 53
 
6.9%
6 46
 
6.0%
8 38
 
4.9%
7 36
 
4.7%
9 31
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
C 2
25.0%
A 2
25.0%
Y 1
12.5%
B 1
12.5%
M 1
12.5%
S 1
12.5%
Lowercase Letter
ValueCountFrequency (%)
y 1
25.0%
t 1
25.0%
i 1
25.0%
c 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 111
99.1%
/ 1
 
0.9%
Space Separator
ValueCountFrequency (%)
1015
100.0%
Close Punctuation
ValueCountFrequency (%)
) 172
100.0%
Open Punctuation
ValueCountFrequency (%)
( 172
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3997
63.8%
Common 2254
36.0%
Latin 12
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 360
 
9.0%
자 224
 
5.6%
동 186
 
4.7%
주 180
 
4.5%
시 177
 
4.4%
북 177
 
4.4%
도 177
 
4.4%
치 174
 
4.4%
구 174
 
4.4%
별 172
 
4.3%
Other values (207) 1996
49.9%
Common
ValueCountFrequency (%)
1015
45.0%
1 226
 
10.0%
) 172
 
7.6%
( 172
 
7.6%
2 136
 
6.0%
, 111
 
4.9%
0 80
 
3.5%
3 64
 
2.8%
4 58
 
2.6%
5 53
 
2.4%
Other values (6) 167
 
7.4%
Latin
ValueCountFrequency (%)
C 2
16.7%
A 2
16.7%
Y 1
8.3%
B 1
8.3%
y 1
8.3%
t 1
8.3%
i 1
8.3%
c 1
8.3%
M 1
8.3%
S 1
8.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3997
63.8%
ASCII 2266
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1015
44.8%
1 226
 
10.0%
) 172
 
7.6%
( 172
 
7.6%
2 136
 
6.0%
, 111
 
4.9%
0 80
 
3.5%
3 64
 
2.8%
4 58
 
2.6%
5 53
 
2.3%
Other values (16) 179
 
7.9%
Hangul
ValueCountFrequency (%)
전 360
 
9.0%
자 224
 
5.6%
동 186
 
4.7%
주 180
 
4.5%
시 177
 
4.4%
북 177
 
4.4%
도 177
 
4.4%
치 174
 
4.4%
구 174
 
4.4%
별 172
 
4.3%
Other values (207) 1996
49.9%

지번주소
Text

MISSING 

Distinct168
Distinct (%)98.8%
Missing2
Missing (%)1.2%
Memory size1.5 KiB
2024-03-15T10:17:43.256396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length50
Median length39.5
Mean length30.841176
Min length24

Characters and Unicode

Total characters5243
Distinct characters191
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique166 ?
Unique (%)97.6%

Sample

1st row전북특별자치도 전주시 덕진구 금암동 720-35
2nd row전북특별자치도 전주시 덕진구 장동 1111 전북혁신도시 더 M city 센텀
3rd row전북특별자치도 전주시 덕진구 덕진동1가 1408-5번지
4th row전북특별자치도 전주시 완산구 평화동1가 445-10 평화주공2단지상가동
5th row전북특별자치도 전주시 덕진구 호성동1가 794-8
ValueCountFrequency (%)
전북특별자치도 170
18.4%
전주시 170
18.4%
완산구 98
 
10.6%
덕진구 72
 
7.8%
효자동2가 20
 
2.2%
효자동1가 17
 
1.8%
서신동 15
 
1.6%
송천동2가 13
 
1.4%
효자동3가 10
 
1.1%
금암동 9
 
1.0%
Other values (264) 328
35.6%
2024-03-15T10:17:45.540425image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
919
 
17.5%
전 346
 
6.6%
자 221
 
4.2%
1 212
 
4.0%
동 179
 
3.4%
주 175
 
3.3%
북 175
 
3.3%
시 174
 
3.3%
치 172
 
3.3%
도 172
 
3.3%
Other values (181) 2498
47.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3263
62.2%
Space Separator 919
 
17.5%
Decimal Number 894
 
17.1%
Dash Punctuation 155
 
3.0%
Uppercase Letter 7
 
0.1%
Lowercase Letter 4
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 346
 
10.6%
자 221
 
6.8%
동 179
 
5.5%
주 175
 
5.4%
북 175
 
5.4%
시 174
 
5.3%
치 172
 
5.3%
도 172
 
5.3%
특 170
 
5.2%
별 170
 
5.2%
Other values (158) 1309
40.1%
Decimal Number
ValueCountFrequency (%)
1 212
23.7%
2 151
16.9%
3 118
13.2%
4 76
 
8.5%
5 74
 
8.3%
7 71
 
7.9%
6 61
 
6.8%
8 53
 
5.9%
9 45
 
5.0%
0 33
 
3.7%
Uppercase Letter
ValueCountFrequency (%)
C 2
28.6%
Y 1
14.3%
B 1
14.3%
M 1
14.3%
A 1
14.3%
S 1
14.3%
Lowercase Letter
ValueCountFrequency (%)
c 1
25.0%
i 1
25.0%
t 1
25.0%
y 1
25.0%
Space Separator
ValueCountFrequency (%)
919
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 155
100.0%
Other Punctuation
ValueCountFrequency (%)
/ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3263
62.2%
Common 1969
37.6%
Latin 11
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 346
 
10.6%
자 221
 
6.8%
동 179
 
5.5%
주 175
 
5.4%
북 175
 
5.4%
시 174
 
5.3%
치 172
 
5.3%
도 172
 
5.3%
특 170
 
5.2%
별 170
 
5.2%
Other values (158) 1309
40.1%
Common
ValueCountFrequency (%)
919
46.7%
1 212
 
10.8%
- 155
 
7.9%
2 151
 
7.7%
3 118
 
6.0%
4 76
 
3.9%
5 74
 
3.8%
7 71
 
3.6%
6 61
 
3.1%
8 53
 
2.7%
Other values (3) 79
 
4.0%
Latin
ValueCountFrequency (%)
C 2
18.2%
Y 1
9.1%
B 1
9.1%
M 1
9.1%
c 1
9.1%
i 1
9.1%
t 1
9.1%
y 1
9.1%
A 1
9.1%
S 1
9.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3263
62.2%
ASCII 1980
37.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
919
46.4%
1 212
 
10.7%
- 155
 
7.8%
2 151
 
7.6%
3 118
 
6.0%
4 76
 
3.8%
5 74
 
3.7%
7 71
 
3.6%
6 61
 
3.1%
8 53
 
2.7%
Other values (13) 90
 
4.5%
Hangul
ValueCountFrequency (%)
전 346
 
10.6%
자 221
 
6.8%
동 179
 
5.5%
주 175
 
5.4%
북 175
 
5.4%
시 174
 
5.3%
치 172
 
5.3%
도 172
 
5.3%
특 170
 
5.2%
별 170
 
5.2%
Other values (158) 1309
40.1%

위도
Real number (ℝ)

MISSING 

Distinct163
Distinct (%)98.2%
Missing6
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean35.828536
Minimum35.786915
Maximum35.879027
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-03-15T10:17:45.899375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.786915
5-th percentile35.797801
Q135.809407
median35.82867
Q335.843212
95-th percentile35.872644
Maximum35.879027
Range0.0921127
Interquartile range (IQR)0.03380486

Descriptive statistics

Standard deviation0.023096791
Coefficient of variation (CV)0.00064464791
Kurtosis-0.70079312
Mean35.828536
Median Absolute Deviation (MAD)0.0163556
Skewness0.39474852
Sum5947.537
Variance0.00053346175
MonotonicityNot monotonic
2024-03-15T10:17:46.392429image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.81554866 2
 
1.2%
35.84066828 2
 
1.2%
35.84371812 2
 
1.2%
35.79895714 1
 
0.6%
35.83252898 1
 
0.6%
35.80578869 1
 
0.6%
35.81684124 1
 
0.6%
35.83324801 1
 
0.6%
35.83196446 1
 
0.6%
35.84321951 1
 
0.6%
Other values (153) 153
89.0%
(Missing) 6
 
3.5%
ValueCountFrequency (%)
35.78691455 1
0.6%
35.78729672 1
0.6%
35.79227028 1
0.6%
35.7929159 1
0.6%
35.79328698 1
0.6%
35.79433362 1
0.6%
35.7946019 1
0.6%
35.79602215 1
0.6%
35.79768781 1
0.6%
35.79813951 1
0.6%
ValueCountFrequency (%)
35.87902725 1
0.6%
35.8788618 1
0.6%
35.87856246 1
0.6%
35.87553566 1
0.6%
35.87416504 1
0.6%
35.8741267 1
0.6%
35.87375783 1
0.6%
35.8735992 1
0.6%
35.87285665 1
0.6%
35.87200421 1
0.6%

경도
Real number (ℝ)

MISSING 

Distinct163
Distinct (%)98.2%
Missing6
Missing (%)3.5%
Infinite0
Infinite (%)0.0%
Mean127.12443
Minimum127.05901
Maximum127.16913
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2024-03-15T10:17:46.843150image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.05901
5-th percentile127.08297
Q1127.11263
median127.12439
Q3127.14145
95-th percentile127.15515
Maximum127.16913
Range0.1101137
Interquartile range (IQR)0.02881435

Descriptive statistics

Standard deviation0.021333006
Coefficient of variation (CV)0.000167812
Kurtosis0.68504346
Mean127.12443
Median Absolute Deviation (MAD)0.01348365
Skewness-0.48766018
Sum21102.656
Variance0.00045509716
MonotonicityNot monotonic
2024-03-15T10:17:47.307546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1114225 2
 
1.2%
127.1105537 2
 
1.2%
127.1443847 2
 
1.2%
127.1078764 1
 
0.6%
127.1126324 1
 
0.6%
127.1269127 1
 
0.6%
127.1064661 1
 
0.6%
127.134215 1
 
0.6%
127.118786 1
 
0.6%
127.1284501 1
 
0.6%
Other values (153) 153
89.0%
(Missing) 6
 
3.5%
ValueCountFrequency (%)
127.0590138 1
0.6%
127.0608582 1
0.6%
127.0618675 1
0.6%
127.0721458 1
0.6%
127.0733716 1
0.6%
127.0745609 1
0.6%
127.0768407 1
0.6%
127.0773909 1
0.6%
127.0780842 1
0.6%
127.0976328 1
0.6%
ValueCountFrequency (%)
127.1691275 1
0.6%
127.1673638 1
0.6%
127.165674 1
0.6%
127.1636583 1
0.6%
127.1631761 1
0.6%
127.1627322 1
0.6%
127.158118 1
0.6%
127.1555024 1
0.6%
127.155319 1
0.6%
127.1546362 1
0.6%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
Minimum2023-11-28 00:00:00
Maximum2023-11-28 00:00:00
2024-03-15T10:17:47.563020image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:17:47.746000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-15T10:17:31.318351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:17:30.736799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:17:31.475606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T10:17:31.172700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T10:17:47.884037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소재지전화위도경도
소재지전화1.0001.0001.000
위도1.0001.0000.592
경도1.0000.5921.000
2024-03-15T10:17:48.038825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도
위도1.0000.190
경도0.1901.000

Missing values

2024-03-15T10:17:31.709951image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T10:17:31.959479image/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.
2024-03-15T10:17:32.292494image/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

사업장명인허가일자영업상태명소재지전화도로명주소지번주소위도경도데이터기준일자
021세기종합약국2021-06-16영업/정상063-274-4949전북특별자치도 전주시 덕진구 기린대로 400-8 (금암동)전북특별자치도 전주시 덕진구 금암동 720-3535.83802127.1328372023-11-28
1365일박사약국2022-07-25영업/정상063-226-3650전북특별자치도 전주시 덕진구 기지로 77, 302동동 A-113호 (장동, 전북혁신도시 더 M city 센텀)전북특별자치도 전주시 덕진구 장동 1111 전북혁신도시 더 M city 센텀<NA><NA>2023-11-28
2건강솔약국2013-08-09영업/정상<NA>전북특별자치도 전주시 덕진구 사평로 38 (덕진동1가)전북특별자치도 전주시 덕진구 덕진동1가 1408-5번지35.840869127.1212272023-11-28
3건강약국2021-07-02영업/정상063-286-6220전북특별자치도 전주시 완산구 장승배기로 262, 평화주공2단지상가동 105호 (평화동1가)전북특별자치도 전주시 완산구 평화동1가 445-10 평화주공2단지상가동35.79814127.1408952023-11-28
4건강종합약국2023-05-25영업/정상063-242-4504전북특별자치도 전주시 덕진구 소리로 192 (호성동1가)전북특별자치도 전주시 덕진구 호성동1가 794-835.857889127.1530252023-11-28
5건강한약국2022-03-10영업/정상063-255-8765전북특별자치도 전주시 덕진구 송천중앙로 225, 파인트리몰 (송천동2가)전북특별자치도 전주시 덕진구 송천동2가 1422 파인트리몰<NA><NA>2023-11-28
6경기약국2023-05-18영업/정상<NA>전북특별자치도 전주시 완산구 팔달로 252, 1층 (서노송동)전북특별자치도 전주시 완산구 서노송동 632-335.824684127.1447252023-11-28
7경인당약국2016-02-18영업/정상063-225-8255전북특별자치도 전주시 완산구 장승배기로 48 (삼천동1가, 삼천동 두일하나아파트 상가)전북특별자치도 전주시 완산구 삼천동1가 306-835.79227127.1184312023-11-28
8고운약국2022-08-08영업/정상<NA>전북특별자치도 전주시 완산구 홍산로 245(효자동2가)전북특별자치도 전주시 완산구 효자동2가 1244-135.81554127.1054792023-11-28
9관통약국2019-09-25영업/정상063-284-3916전북특별자치도 전주시 완산구 팔달로 181, 관통약국 (경원동1가)전북특별자치도 전주시 완산구 경원동1가 70-2 관통약국35.818672127.146632023-11-28
사업장명인허가일자영업상태명소재지전화도로명주소지번주소위도경도데이터기준일자
162호성백제약국2017-08-03영업/정상063-241-7569전북특별자치도 전주시 덕진구 호성3길 22 (호성동1가)전북특별자치도 전주시 덕진구 호성동1가 587-36번지35.860666127.1503272023-11-28
163호성프라자약국2022-04-14영업/정상<NA>전북특별자치도 전주시 덕진구 호성3길 19, 진이비인후과 106호 (호성동1가)전북특별자치도 전주시 덕진구 호성동1가 828-14 진이비인후과35.8604127.1505772023-11-28
164화영약국2018-06-15영업/정상063-288-3020전북특별자치도 전주시 완산구 장승배기로 290, 1층 (평화동1가)전북특별자치도 전주시 완산구 평화동1가 434-23번지35.799339127.1436692023-11-28
165회생약국2023-08-04영업/정상<NA>전북특별자치도 전주시 덕진구 송천중앙로 147 (송천동1가)전북특별자치도 전주시 덕진구 송천동1가 48035.860031127.1209962023-11-28
166효인약국2018-04-17영업/정상063-288-8724전북특별자치도 전주시 완산구 서원로 355 (중화산동1가)전북특별자치도 전주시 완산구 중화산동1가 306-2번지35.813561127.1327012023-11-28
167효자애플약국2022-04-21영업/정상063-221-1412전북특별자치도 전주시 완산구 쑥고개로 317(효자동2가)전북특별자치도 전주시 완산구 효자동2가 1214-535.802553127.0999072023-11-28
168효자희약국2023-02-09영업/정상<NA>전북특별자치도 전주시 완산구 서원로 144, 1층 (효자동2가)전북특별자치도 전주시 완산구 효자동2가 1159-535.8134127.1103382023-11-28
169효천큰약국2021-09-28영업/정상063-227-2121전북특별자치도 전주시 완산구 효천중앙로 55(효자동2가)전북특별자치도 전주시 완산구 효자동2가 1377-235.798957127.1078762023-11-28
170휴베이스 효천약국2019-03-18영업/정상063-255-7575전북특별자치도 전주시 완산구 천잠로 164 (효자동2가)전북특별자치도 전주시 완산구 효자동2가 1214-335.802419127.0993022023-11-28
171희망약국2023-08-17영업/정상063-228-2490전북특별자치도 전주시 완산구 장승배기로 200, SC제일은행 (평화동1가)전북특별자치도 전주시 완산구 평화동1가 710-4 SC제일은행35.796022127.1347792023-11-28