Overview

Dataset statistics

Number of variables10
Number of observations628
Missing cells853
Missing cells (%)13.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory51.0 KiB
Average record size in memory83.2 B

Variable types

Text4
DateTime2
Categorical1
Numeric3

Dataset

Description전북특별자치치도 전주시 내 안전비상의약품판매업소를 제공하며, 사업장명, 인허가일자, 상세영업상태, 소재지전화번호, 도로명주소 등을 제공합니다.편의점 등 안전상비의약품으로 지정된 의약품을 판매하는 업소항목 : 사업장명, 인허가일자, 상세영업상태, 도로명주소, 지번주소, 위도, 경도 등담당부서 : 보건행정과
Author전북특별자치도 전주시
URLhttps://www.data.go.kr/data/15102187/fileData.do

Alerts

상세영업상태명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
소재지전화 has 474 (75.5%) missing valuesMissing
판매점영업면적 has 379 (60.4%) missing valuesMissing
판매점영업면적 has 81 (12.9%) zerosZeros

Reproduction

Analysis started2024-03-14 19:08:19.749496
Analysis finished2024-03-14 19:08:23.958143
Duration4.21 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명
Text

Distinct620
Distinct (%)98.7%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2024-03-15T04:08:24.670211image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length15
Mean length9.9187898
Min length3

Characters and Unicode

Total characters6229
Distinct characters283
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

Unique612 ?
Unique (%)97.5%

Sample

1st row(유)금정에스엔씨건산점
2nd row(유)금정에스엔씨솔내점
3rd row(주)비지에프리테일 송천중앙점
4th row(주)코리아세븐
5th row(주)코리아세븐 전주건지점
ValueCountFrequency (%)
세븐일레븐 16
 
2.3%
지에스25 15
 
2.2%
미니스톱 7
 
1.0%
gs25 7
 
1.0%
씨유 7
 
1.0%
주)코리아세븐 5
 
0.7%
이마트24 2
 
0.3%
전주 2
 
0.3%
씨유전북대스타점 2
 
0.3%
미니스톱뉴아중대우점 2
 
0.3%
Other values (620) 626
90.6%
2024-03-15T04:08:26.051741image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 604
 
9.7%
주 376
 
6.0%
전 372
 
6.0%
븐 270
 
4.3%
2 200
 
3.2%
스 189
 
3.0%
5 189
 
3.0%
유 159
 
2.6%
씨 157
 
2.5%
세 157
 
2.5%
Other values (273) 3556
57.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5318
85.4%
Decimal Number 408
 
6.6%
Uppercase Letter 336
 
5.4%
Space Separator 63
 
1.0%
Close Punctuation 52
 
0.8%
Open Punctuation 52
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 604
 
11.4%
주 376
 
7.1%
전 372
 
7.0%
븐 270
 
5.1%
스 189
 
3.6%
유 159
 
3.0%
씨 157
 
3.0%
세 157
 
3.0%
일 139
 
2.6%
레 117
 
2.2%
Other values (252) 2778
52.2%
Uppercase Letter
ValueCountFrequency (%)
S 125
37.2%
G 124
36.9%
C 40
 
11.9%
U 31
 
9.2%
I 5
 
1.5%
K 4
 
1.2%
R 2
 
0.6%
H 1
 
0.3%
V 1
 
0.3%
T 1
 
0.3%
Other values (2) 2
 
0.6%
Decimal Number
ValueCountFrequency (%)
2 200
49.0%
5 189
46.3%
4 11
 
2.7%
3 4
 
1.0%
6 3
 
0.7%
1 1
 
0.2%
Space Separator
ValueCountFrequency (%)
63
100.0%
Close Punctuation
ValueCountFrequency (%)
) 52
100.0%
Open Punctuation
ValueCountFrequency (%)
( 52
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5318
85.4%
Common 575
 
9.2%
Latin 336
 
5.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 604
 
11.4%
주 376
 
7.1%
전 372
 
7.0%
븐 270
 
5.1%
스 189
 
3.6%
유 159
 
3.0%
씨 157
 
3.0%
세 157
 
3.0%
일 139
 
2.6%
레 117
 
2.2%
Other values (252) 2778
52.2%
Latin
ValueCountFrequency (%)
S 125
37.2%
G 124
36.9%
C 40
 
11.9%
U 31
 
9.2%
I 5
 
1.5%
K 4
 
1.2%
R 2
 
0.6%
H 1
 
0.3%
V 1
 
0.3%
T 1
 
0.3%
Other values (2) 2
 
0.6%
Common
ValueCountFrequency (%)
2 200
34.8%
5 189
32.9%
63
 
11.0%
) 52
 
9.0%
( 52
 
9.0%
4 11
 
1.9%
3 4
 
0.7%
6 3
 
0.5%
1 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5318
85.4%
ASCII 911
 
14.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 604
 
11.4%
주 376
 
7.1%
전 372
 
7.0%
븐 270
 
5.1%
스 189
 
3.6%
유 159
 
3.0%
씨 157
 
3.0%
세 157
 
3.0%
일 139
 
2.6%
레 117
 
2.2%
Other values (252) 2778
52.2%
ASCII
ValueCountFrequency (%)
2 200
22.0%
5 189
20.7%
S 125
13.7%
G 124
13.6%
63
 
6.9%
) 52
 
5.7%
( 52
 
5.7%
C 40
 
4.4%
U 31
 
3.4%
4 11
 
1.2%
Other values (11) 24
 
2.6%

인허가일자
Date

Distinct457
Distinct (%)72.8%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
Minimum2012-10-25 00:00:00
Maximum2022-06-24 00:00:00
2024-03-15T04:08:26.438412image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:08:26.861048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

상세영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
영업중
628 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
영업중 628
100.0%

Length

2024-03-15T04:08:27.280329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T04:08:27.593546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 628
100.0%

소재지전화
Text

MISSING 

Distinct152
Distinct (%)98.7%
Missing474
Missing (%)75.5%
Memory size5.0 KiB
2024-03-15T04:08:28.674066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.012987
Min length9

Characters and Unicode

Total characters1850
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

Unique150 ?
Unique (%)97.4%

Sample

1st row063-278-0208
2nd row1577-0711
3rd row063-221-2817
4th row063-274-2067
5th row063-251-5498
ValueCountFrequency (%)
063-229-1131 2
 
1.3%
063-232-2527 2
 
1.3%
063-275-5516 1
 
0.6%
063-232-0234 1
 
0.6%
063-275-4154 1
 
0.6%
070-7769-2564 1
 
0.6%
063-288-2803 1
 
0.6%
063-274-2242 1
 
0.6%
063-278-6966 1
 
0.6%
063-275-5343 1
 
0.6%
Other values (142) 142
92.2%
2024-03-15T04:08:30.351058image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 307
16.6%
2 278
15.0%
0 251
13.6%
3 232
12.5%
6 193
10.4%
7 122
 
6.6%
1 111
 
6.0%
5 100
 
5.4%
4 96
 
5.2%
8 88
 
4.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1543
83.4%
Dash Punctuation 307
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 278
18.0%
0 251
16.3%
3 232
15.0%
6 193
12.5%
7 122
7.9%
1 111
 
7.2%
5 100
 
6.5%
4 96
 
6.2%
8 88
 
5.7%
9 72
 
4.7%
Dash Punctuation
ValueCountFrequency (%)
- 307
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1850
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 307
16.6%
2 278
15.0%
0 251
13.6%
3 232
12.5%
6 193
10.4%
7 122
 
6.6%
1 111
 
6.0%
5 100
 
5.4%
4 96
 
5.2%
8 88
 
4.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1850
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 307
16.6%
2 278
15.0%
0 251
13.6%
3 232
12.5%
6 193
10.4%
7 122
 
6.6%
1 111
 
6.0%
5 100
 
5.4%
4 96
 
5.2%
8 88
 
4.8%

도로명주소
Text

Distinct614
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2024-03-15T04:08:32.072164image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length66
Median length58
Mean length35.974522
Min length27

Characters and Unicode

Total characters22592
Distinct characters318
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique601 ?
Unique (%)95.7%

Sample

1st row전북특별자치도 전주시 덕진구 건산로 84 (진북동)
2nd row전북특별자치도 전주시 덕진구 송천중앙로 236 (송천동2가)
3rd row전북특별자치도 전주시 덕진구 붓내3길 20 (송천동2가)
4th row전북특별자치도 전주시 덕진구 한배미6길 20, 1층 (인후동1가)
5th row전북특별자치도 전주시 덕진구 삼송1길 4 (금암동)
ValueCountFrequency (%)
전북특별자치도 628
 
14.7%
전주시 628
 
14.7%
덕진구 323
 
7.5%
완산구 305
 
7.1%
1층 121
 
2.8%
효자동3가 65
 
1.5%
인후동1가 46
 
1.1%
중화산동2가 36
 
0.8%
101호 35
 
0.8%
금암동 34
 
0.8%
Other values (903) 2064
48.2%
2024-03-15T04:08:34.210396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3658
 
16.2%
전 1302
 
5.8%
1 1010
 
4.5%
자 759
 
3.4%
동 736
 
3.3%
주 668
 
3.0%
북 651
 
2.9%
시 650
 
2.9%
구 641
 
2.8%
도 640
 
2.8%
Other values (308) 11877
52.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14191
62.8%
Space Separator 3658
 
16.2%
Decimal Number 2980
 
13.2%
Open Punctuation 633
 
2.8%
Close Punctuation 633
 
2.8%
Other Punctuation 372
 
1.6%
Dash Punctuation 93
 
0.4%
Uppercase Letter 22
 
0.1%
Lowercase Letter 8
 
< 0.1%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 1302
 
9.2%
자 759
 
5.3%
동 736
 
5.2%
주 668
 
4.7%
북 651
 
4.6%
시 650
 
4.6%
구 641
 
4.5%
도 640
 
4.5%
치 630
 
4.4%
별 630
 
4.4%
Other values (275) 6884
48.5%
Uppercase Letter
ValueCountFrequency (%)
B 3
13.6%
C 3
13.6%
S 3
13.6%
A 3
13.6%
K 2
9.1%
W 2
9.1%
M 1
 
4.5%
D 1
 
4.5%
E 1
 
4.5%
I 1
 
4.5%
Other values (2) 2
9.1%
Decimal Number
ValueCountFrequency (%)
1 1010
33.9%
2 522
17.5%
3 344
 
11.5%
0 279
 
9.4%
4 199
 
6.7%
5 152
 
5.1%
7 143
 
4.8%
6 136
 
4.6%
9 102
 
3.4%
8 93
 
3.1%
Lowercase Letter
ValueCountFrequency (%)
e 4
50.0%
t 1
 
12.5%
y 1
 
12.5%
i 1
 
12.5%
c 1
 
12.5%
Space Separator
ValueCountFrequency (%)
3658
100.0%
Open Punctuation
ValueCountFrequency (%)
( 633
100.0%
Close Punctuation
ValueCountFrequency (%)
) 633
100.0%
Other Punctuation
ValueCountFrequency (%)
, 372
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 93
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14191
62.8%
Common 8371
37.1%
Latin 30
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 1302
 
9.2%
자 759
 
5.3%
동 736
 
5.2%
주 668
 
4.7%
북 651
 
4.6%
시 650
 
4.6%
구 641
 
4.5%
도 640
 
4.5%
치 630
 
4.4%
별 630
 
4.4%
Other values (275) 6884
48.5%
Latin
ValueCountFrequency (%)
e 4
13.3%
B 3
10.0%
C 3
10.0%
S 3
10.0%
A 3
10.0%
K 2
 
6.7%
W 2
 
6.7%
t 1
 
3.3%
y 1
 
3.3%
i 1
 
3.3%
Other values (7) 7
23.3%
Common
ValueCountFrequency (%)
3658
43.7%
1 1010
 
12.1%
( 633
 
7.6%
) 633
 
7.6%
2 522
 
6.2%
, 372
 
4.4%
3 344
 
4.1%
0 279
 
3.3%
4 199
 
2.4%
5 152
 
1.8%
Other values (6) 569
 
6.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14191
62.8%
ASCII 8401
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3658
43.5%
1 1010
 
12.0%
( 633
 
7.5%
) 633
 
7.5%
2 522
 
6.2%
, 372
 
4.4%
3 344
 
4.1%
0 279
 
3.3%
4 199
 
2.4%
5 152
 
1.8%
Other values (23) 599
 
7.1%
Hangul
ValueCountFrequency (%)
전 1302
 
9.2%
자 759
 
5.3%
동 736
 
5.2%
주 668
 
4.7%
북 651
 
4.6%
시 650
 
4.6%
구 641
 
4.5%
도 640
 
4.5%
치 630
 
4.4%
별 630
 
4.4%
Other values (275) 6884
48.5%

지번주소
Text

Distinct593
Distinct (%)94.4%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
2024-03-15T04:08:35.310149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length30
Median length29
Mean length26.726115
Min length22

Characters and Unicode

Total characters16784
Distinct characters71
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

Unique560 ?
Unique (%)89.2%

Sample

1st row전북특별자치도 전주시 덕진구 진북동 256-12
2nd row전북특별자치도 전주시 덕진구 송천동2가 467
3rd row전북특별자치도 전주시 덕진구 송천동2가 244-19
4th row전북특별자치도 전주시 덕진구 인후동1가 954-5
5th row전북특별자치도 전주시 덕진구 금암동 667-32
ValueCountFrequency (%)
전북특별자치도 628
20.0%
전주시 628
20.0%
덕진구 323
 
10.3%
완산구 305
 
9.7%
효자동3가 67
 
2.1%
인후동1가 46
 
1.5%
중화산동2가 35
 
1.1%
금암동 35
 
1.1%
송천동2가 34
 
1.1%
효자동2가 34
 
1.1%
Other values (639) 1006
32.0%
2024-03-15T04:08:36.896905image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2513
 
15.0%
전 1257
 
7.5%
1 751
 
4.5%
자 748
 
4.5%
북 640
 
3.8%
동 637
 
3.8%
별 628
 
3.7%
치 628
 
3.7%
도 628
 
3.7%
특 628
 
3.7%
Other values (61) 7726
46.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 10547
62.8%
Decimal Number 3187
 
19.0%
Space Separator 2513
 
15.0%
Dash Punctuation 537
 
3.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 1257
 
11.9%
자 748
 
7.1%
북 640
 
6.1%
동 637
 
6.0%
별 628
 
6.0%
치 628
 
6.0%
도 628
 
6.0%
특 628
 
6.0%
주 628
 
6.0%
시 628
 
6.0%
Other values (49) 3497
33.2%
Decimal Number
ValueCountFrequency (%)
1 751
23.6%
2 476
14.9%
3 356
11.2%
6 318
10.0%
7 262
 
8.2%
5 237
 
7.4%
4 221
 
6.9%
8 212
 
6.7%
9 206
 
6.5%
0 148
 
4.6%
Space Separator
ValueCountFrequency (%)
2513
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 537
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 10547
62.8%
Common 6237
37.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 1257
 
11.9%
자 748
 
7.1%
북 640
 
6.1%
동 637
 
6.0%
별 628
 
6.0%
치 628
 
6.0%
도 628
 
6.0%
특 628
 
6.0%
주 628
 
6.0%
시 628
 
6.0%
Other values (49) 3497
33.2%
Common
ValueCountFrequency (%)
2513
40.3%
1 751
 
12.0%
- 537
 
8.6%
2 476
 
7.6%
3 356
 
5.7%
6 318
 
5.1%
7 262
 
4.2%
5 237
 
3.8%
4 221
 
3.5%
8 212
 
3.4%
Other values (2) 354
 
5.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 10547
62.8%
ASCII 6237
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2513
40.3%
1 751
 
12.0%
- 537
 
8.6%
2 476
 
7.6%
3 356
 
5.7%
6 318
 
5.1%
7 262
 
4.2%
5 237
 
3.8%
4 221
 
3.5%
8 212
 
3.4%
Other values (2) 354
 
5.7%
Hangul
ValueCountFrequency (%)
전 1257
 
11.9%
자 748
 
7.1%
북 640
 
6.1%
동 637
 
6.0%
별 628
 
6.0%
치 628
 
6.0%
도 628
 
6.0%
특 628
 
6.0%
주 628
 
6.0%
시 628
 
6.0%
Other values (49) 3497
33.2%

위도
Real number (ℝ)

Distinct599
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.830154
Minimum35.76676
Maximum35.886715
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 KiB
2024-03-15T04:08:37.330460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.76676
5-th percentile35.793449
Q135.815765
median35.830263
Q335.84332
95-th percentile35.870458
Maximum35.886715
Range0.11995508
Interquartile range (IQR)0.027554265

Descriptive statistics

Standard deviation0.022519031
Coefficient of variation (CV)0.00062849384
Kurtosis-0.38615821
Mean35.830154
Median Absolute Deviation (MAD)0.0138701
Skewness0.064805
Sum22501.337
Variance0.00050710676
MonotonicityNot monotonic
2024-03-15T04:08:37.887845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.78607816 3
 
0.5%
35.86805871 3
 
0.5%
35.83904417 2
 
0.3%
35.81001399 2
 
0.3%
35.83486124 2
 
0.3%
35.83613004 2
 
0.3%
35.82073767 2
 
0.3%
35.8369176 2
 
0.3%
35.84492391 2
 
0.3%
35.84089498 2
 
0.3%
Other values (589) 606
96.5%
ValueCountFrequency (%)
35.76675982 1
0.2%
35.77856929 1
0.2%
35.78269916 1
0.2%
35.7830491 1
0.2%
35.78322279 1
0.2%
35.78327958 1
0.2%
35.78341264 1
0.2%
35.78399198 1
0.2%
35.78433802 1
0.2%
35.78452295 1
0.2%
ValueCountFrequency (%)
35.8867149 1
0.2%
35.88518727 1
0.2%
35.88124098 1
0.2%
35.87988337 1
0.2%
35.87919942 1
0.2%
35.87828015 1
0.2%
35.87633602 1
0.2%
35.8761465 1
0.2%
35.87579274 1
0.2%
35.8751547 1
0.2%

경도
Real number (ℝ)

Distinct599
Distinct (%)95.4%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.12489
Minimum127.05599
Maximum127.17769
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size5.6 KiB
2024-03-15T04:08:38.478276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.05599
5-th percentile127.07616
Q1127.108
median127.12511
Q3127.14266
95-th percentile127.16885
Maximum127.17769
Range0.1217032
Interquartile range (IQR)0.0346572

Descriptive statistics

Standard deviation0.02654576
Coefficient of variation (CV)0.00020881639
Kurtosis-0.20049312
Mean127.12489
Median Absolute Deviation (MAD)0.0172641
Skewness-0.26897637
Sum79834.43
Variance0.00070467739
MonotonicityNot monotonic
2024-03-15T04:08:38.998442image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1344423 3
 
0.5%
127.1217112 3
 
0.5%
127.1560146 2
 
0.3%
127.1534918 2
 
0.3%
127.0710118 2
 
0.3%
127.1667631 2
 
0.3%
127.0859587 2
 
0.3%
127.1353209 2
 
0.3%
127.1258679 2
 
0.3%
127.1108104 2
 
0.3%
Other values (589) 606
96.5%
ValueCountFrequency (%)
127.055986 1
0.2%
127.0586946 1
0.2%
127.0587417 1
0.2%
127.0589957 1
0.2%
127.0594604 1
0.2%
127.0594859 1
0.2%
127.059732 1
0.2%
127.0599762 1
0.2%
127.0601209 1
0.2%
127.0601417 1
0.2%
ValueCountFrequency (%)
127.1776892 1
0.2%
127.175689 1
0.2%
127.1747698 1
0.2%
127.1743203 1
0.2%
127.1741644 1
0.2%
127.1738475 1
0.2%
127.1736921 1
0.2%
127.1736287 1
0.2%
127.1731207 1
0.2%
127.1729686 1
0.2%

판매점영업면적
Real number (ℝ)

MISSING  ZEROS 

Distinct101
Distinct (%)40.6%
Missing379
Missing (%)60.4%
Infinite0
Infinite (%)0.0%
Mean89.246908
Minimum0
Maximum9234
Zeros81
Zeros (%)12.9%
Negative0
Negative (%)0.0%
Memory size5.6 KiB
2024-03-15T04:08:39.259173image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median59.4
Q382.5
95-th percentile127.6
Maximum9234
Range9234
Interquartile range (IQR)82.5

Descriptive statistics

Standard deviation583.67665
Coefficient of variation (CV)6.540021
Kurtosis245.88045
Mean89.246908
Median Absolute Deviation (MAD)36.6
Skewness15.63214
Sum22222.48
Variance340678.43
MonotonicityNot monotonic
2024-03-15T04:08:39.655447image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 81
 
12.9%
66.0 12
 
1.9%
49.5 11
 
1.8%
99.0 8
 
1.3%
82.5 6
 
1.0%
60.0 6
 
1.0%
80.0 6
 
1.0%
70.0 5
 
0.8%
90.0 3
 
0.5%
56.1 2
 
0.3%
Other values (91) 109
 
17.4%
(Missing) 379
60.4%
ValueCountFrequency (%)
0.0 81
12.9%
2.25 1
 
0.2%
3.3 1
 
0.2%
8.0 1
 
0.2%
15.0 1
 
0.2%
16.5 1
 
0.2%
23.76 1
 
0.2%
32.76 1
 
0.2%
33.0 2
 
0.3%
33.3 1
 
0.2%
ValueCountFrequency (%)
9234.0 1
0.2%
260.07 1
0.2%
198.0 1
0.2%
195.0 1
0.2%
165.0 1
0.2%
157.0 1
0.2%
150.0 1
0.2%
136.0 1
0.2%
134.0 1
0.2%
132.2 1
0.2%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size5.0 KiB
Minimum2024-01-12 00:00:00
Maximum2024-01-12 00:00:00
2024-03-15T04:08:39.945892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:08:40.247564image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-15T04:08:22.776831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:08:20.750834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:08:21.966906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:08:22.923243image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:08:21.130540image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:08:22.251364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:08:23.086968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:08:21.640845image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T04:08:22.505784image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T04:08:40.457480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도판매점영업면적
위도1.0000.6400.000
경도0.6401.0000.000
판매점영업면적0.0000.0001.000
2024-03-15T04:08:40.700464image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도판매점영업면적
위도1.000-0.0110.037
경도-0.0111.0000.072
판매점영업면적0.0370.0721.000

Missing values

2024-03-15T04:08:23.281451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T04:08:23.663296image/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.
2024-03-15T04:08:23.872499image/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

사업장명인허가일자상세영업상태명소재지전화도로명주소지번주소위도경도판매점영업면적데이터기준일자
0(유)금정에스엔씨건산점2013-04-18영업중<NA>전북특별자치도 전주시 덕진구 건산로 84 (진북동)전북특별자치도 전주시 덕진구 진북동 256-1235.832208127.146444<NA>2024-01-12
1(유)금정에스엔씨솔내점2013-04-18영업중<NA>전북특별자치도 전주시 덕진구 송천중앙로 236 (송천동2가)전북특별자치도 전주시 덕진구 송천동2가 46735.868059127.121711<NA>2024-01-12
2(주)비지에프리테일 송천중앙점2017-02-06영업중063-278-0208전북특별자치도 전주시 덕진구 붓내3길 20 (송천동2가)전북특별자치도 전주시 덕진구 송천동2가 244-1935.866529127.123658<NA>2024-01-12
3(주)코리아세븐2020-06-04영업중<NA>전북특별자치도 전주시 덕진구 한배미6길 20, 1층 (인후동1가)전북특별자치도 전주시 덕진구 인후동1가 954-535.823159127.16835666.02024-01-12
4(주)코리아세븐 전주건지점2017-02-24영업중<NA>전북특별자치도 전주시 덕진구 삼송1길 4 (금암동)전북특별자치도 전주시 덕진구 금암동 667-3235.841042127.132864<NA>2024-01-12
5(주)코리아세븐 전주고사중앙점2018-12-21영업중<NA>전북특별자치도 전주시 완산구 전주객사5길 46 (고사동)전북특별자치도 전주시 완산구 고사동 23-135.820241127.145298<NA>2024-01-12
6(주)코리아세븐 전주인후안골점2016-03-11영업중<NA>전북특별자치도 전주시 덕진구 팽나무5길 18 (인후동1가)전북특별자치도 전주시 덕진구 인후동1가 780-535.835128127.155771<NA>2024-01-12
7(주)코리아세븐 전주평화코오롱점2021-11-18영업중1577-0711전북특별자치도 전주시 완산구 평화14길 28-12, 1층 (평화동1가)전북특별자치도 전주시 완산구 평화동1가 69635.793404127.1342210.02024-01-12
8(주)코리아세븐서전주IC점2019-11-27영업중063-221-2817전북특별자치도 전주시 완산구 콩쥐팥쥐로 1593 (상림동)전북특별자치도 전주시 완산구 상림동 8835.825533127.07379999.02024-01-12
9(주)코리아세븐전주공단점2015-08-12영업중<NA>전북특별자치도 전주시 덕진구 신복로 62, 1층 (팔복동1가)전북특별자치도 전주시 덕진구 팔복동1가 165-1435.856331127.10764<NA>2024-01-12
사업장명인허가일자상세영업상태명소재지전화도로명주소지번주소위도경도판매점영업면적데이터기준일자
618코리아세븐(전주서원로점)2014-06-10영업중063-226-0711전북특별자치도 전주시 완산구 서원로 272 (중화산동2가)전북특별자치도 전주시 완산구 중화산동2가 54535.811172127.124412<NA>2024-01-12
619코리아세븐(전주시청제일점)2014-03-21영업중<NA>전북특별자치도 전주시 완산구 노송광장로 37, 1층 (서노송동)전북특별자치도 전주시 완산구 서노송동 619-635.82452127.146849.52024-01-12
620코리아세븐전주아중랜드점2014-07-26영업중063-242-2787전북특별자치도 전주시 덕진구 아중중앙로 8 (우아동2가)전북특별자치도 전주시 덕진구 우아동2가 927-635.829266127.17288849.52024-01-12
621코리아세븐전주아중리점2014-08-06영업중063-244-5056전북특별자치도 전주시 덕진구 아중중앙로 17 (우아동2가)전북특별자치도 전주시 덕진구 우아동2가 914-135.829863127.17210849.52024-01-12
622코리아세븐전주인후원룸점2014-09-11영업중<NA>전북특별자치도 전주시 덕진구 정언신로 70 (인후동1가)전북특별자치도 전주시 덕진구 인후동1가 866-635.830383127.161586<NA>2024-01-12
623코리아세븐한옥마을점2014-09-11영업중063-231-6683전북특별자치도 전주시 완산구 경기전길 17 (풍남동1가)전북특별자치도 전주시 완산구 풍남동1가 15-635.81868127.150323<NA>2024-01-12
624편의점사랑경원점2012-12-18영업중<NA>전북특별자치도 전주시 완산구 충경로 100 (경원동3가)전북특별자치도 전주시 완산구 경원동3가 78-235.81928127.149834<NA>2024-01-12
625편의점사랑중화산점2014-07-04영업중063-858-0850전북특별자치도 전주시 완산구 따박골6길 17-2 (중화산동2가)전북특별자치도 전주시 완산구 효자동1가 161-135.808421127.129153<NA>2024-01-12
626한국미니스톱금암태평점2012-11-15영업중063-242-4473전북특별자치도 전주시 덕진구 태진로 151 (금암동)전북특별자치도 전주시 덕진구 금암동 457-235.834219127.135094<NA>2024-01-12
627황금밭2013-07-25영업중063-247-5533전북특별자치도 전주시 덕진구 안덕원로 250 (인후동1가)전북특별자치도 전주시 덕진구 인후동1가 772-735.836281127.154221<NA>2024-01-12