Overview

Dataset statistics

Number of variables10
Number of observations395
Missing cells54
Missing cells (%)1.4%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory32.1 KiB
Average record size in memory83.3 B

Variable types

Text4
DateTime1
Categorical2
Numeric3

Dataset

Description전북특별자치도 전주시 내 약국을 제공하며 사업장명, 인허가일자, 상세영업상태, 소재지전화번호, 도로명주소, 지번주소 등을 제공합니다.약사가 의약품을 조제 또는 판매를 주목적으로 하는 업소항목 : 사업장명, 인허가일자, 상세영업상태, 소재지전화번호, 도로명주소, 지번주소 등담당부서 : 보건행정과
Author전북특별자치도 전주시
URLhttps://www.data.go.kr/data/15102188/fileData.do

Alerts

상세영업상태명 has constant value ""Constant
데이터기준일자 has constant value ""Constant
소재지전화 has 52 (13.2%) missing valuesMissing
약국영업면적 has 123 (31.1%) zerosZeros

Reproduction

Analysis started2024-03-14 10:15:51.376512
Analysis finished2024-03-14 10:15:54.840057
Duration3.46 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

사업장명
Text

Distinct394
Distinct (%)99.7%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-03-14T19:15:55.534890image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length5.1189873
Min length3

Characters and Unicode

Total characters2022
Distinct characters256
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

Unique393 ?
Unique (%)99.5%

Sample

1st row21세기건강약국
2nd row21세기종합약국
3rd row365일박사약국
4th row가나약국
5th row감초당약국
ValueCountFrequency (%)
건강한약국 2
 
0.5%
전북약국 1
 
0.3%
장미약국 1
 
0.3%
자인약국 1
 
0.3%
자연약국 1
 
0.3%
자연생한약국 1
 
0.3%
일성약국 1
 
0.3%
일동약국 1
 
0.3%
인후해맑은약국 1
 
0.3%
인후종로약국 1
 
0.3%
Other values (384) 384
97.2%
2024-03-14T19:15:56.863376image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
약 397
 
19.6%
국 397
 
19.6%
한 40
 
2.0%
리 35
 
1.7%
전 22
 
1.1%
종 22
 
1.1%
자 21
 
1.0%
주 21
 
1.0%
온 20
 
1.0%
랑 20
 
1.0%
Other values (246) 1027
50.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2012
99.5%
Decimal Number 8
 
0.4%
Dash Punctuation 1
 
< 0.1%
Uppercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
약 397
 
19.7%
국 397
 
19.7%
한 40
 
2.0%
리 35
 
1.7%
전 22
 
1.1%
종 22
 
1.1%
자 21
 
1.0%
주 21
 
1.0%
온 20
 
1.0%
랑 20
 
1.0%
Other values (239) 1017
50.5%
Decimal Number
ValueCountFrequency (%)
2 3
37.5%
1 2
25.0%
3 1
 
12.5%
6 1
 
12.5%
5 1
 
12.5%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Uppercase Letter
ValueCountFrequency (%)
E 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2012
99.5%
Common 9
 
0.4%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
약 397
 
19.7%
국 397
 
19.7%
한 40
 
2.0%
리 35
 
1.7%
전 22
 
1.1%
종 22
 
1.1%
자 21
 
1.0%
주 21
 
1.0%
온 20
 
1.0%
랑 20
 
1.0%
Other values (239) 1017
50.5%
Common
ValueCountFrequency (%)
2 3
33.3%
1 2
22.2%
- 1
 
11.1%
3 1
 
11.1%
6 1
 
11.1%
5 1
 
11.1%
Latin
ValueCountFrequency (%)
E 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2012
99.5%
ASCII 10
 
0.5%

Most frequent character per block

Hangul
ValueCountFrequency (%)
약 397
 
19.7%
국 397
 
19.7%
한 40
 
2.0%
리 35
 
1.7%
전 22
 
1.1%
종 22
 
1.1%
자 21
 
1.0%
주 21
 
1.0%
온 20
 
1.0%
랑 20
 
1.0%
Other values (239) 1017
50.5%
ASCII
ValueCountFrequency (%)
2 3
30.0%
1 2
20.0%
- 1
 
10.0%
3 1
 
10.0%
E 1
 
10.0%
6 1
 
10.0%
5 1
 
10.0%

인허가일자
Date

Distinct370
Distinct (%)93.7%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
Minimum1960-10-18 00:00:00
Maximum2022-05-26 00:00:00
2024-03-14T19:15:57.261437image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:15:57.725166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

상세영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
영업중
395 

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 395
100.0%

Length

2024-03-14T19:15:58.140937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:15:58.443462image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
영업중 395
100.0%

소재지전화
Text

MISSING 

Distinct341
Distinct (%)99.4%
Missing52
Missing (%)13.2%
Memory size3.2 KiB
2024-03-14T19:15:59.354537image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.017493
Min length11

Characters and Unicode

Total characters4122
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique339 ?
Unique (%)98.8%

Sample

1st row063-251-0671
2nd row063-274-4949
3rd row063-226-4488
4th row063-241-8434
5th row063-251-5161
ValueCountFrequency (%)
063-254-7585 2
 
0.6%
063-247-0880 2
 
0.6%
063-236-3618 1
 
0.3%
063-275-7752 1
 
0.3%
063-251-7569 1
 
0.3%
063-255-4741 1
 
0.3%
063-277-1084 1
 
0.3%
063-278-3060 1
 
0.3%
063-288-5600 1
 
0.3%
063-284-3155 1
 
0.3%
Other values (331) 331
96.5%
2024-03-14T19:16:00.758256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 686
16.6%
2 615
14.9%
0 541
13.1%
3 532
12.9%
6 478
11.6%
5 272
 
6.6%
7 272
 
6.6%
8 251
 
6.1%
4 188
 
4.6%
1 180
 
4.4%
Other values (2) 107
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 3434
83.3%
Dash Punctuation 686
 
16.6%
Math Symbol 2
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 615
17.9%
0 541
15.8%
3 532
15.5%
6 478
13.9%
5 272
7.9%
7 272
7.9%
8 251
7.3%
4 188
 
5.5%
1 180
 
5.2%
9 105
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 686
100.0%
Math Symbol
ValueCountFrequency (%)
~ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4122
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 686
16.6%
2 615
14.9%
0 541
13.1%
3 532
12.9%
6 478
11.6%
5 272
 
6.6%
7 272
 
6.6%
8 251
 
6.1%
4 188
 
4.6%
1 180
 
4.4%
Other values (2) 107
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4122
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 686
16.6%
2 615
14.9%
0 541
13.1%
3 532
12.9%
6 478
11.6%
5 272
 
6.6%
7 272
 
6.6%
8 251
 
6.1%
4 188
 
4.6%
1 180
 
4.4%
Other values (2) 107
 
2.6%

도로명주소
Text

Distinct391
Distinct (%)99.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-03-14T19:16:01.933557image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length60
Median length55
Mean length33.964557
Min length27

Characters and Unicode

Total characters13416
Distinct characters258
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

Unique387 ?
Unique (%)98.0%

Sample

1st row전북특별자치도 전주시 덕진구 송천중앙로 39 (덕진동2가)
2nd row전북특별자치도 전주시 덕진구 기린대로 400-8 (금암동)
3rd row전북특별자치도 전주시 덕진구 기지로 77, 302동 A-113호 (장동, 전북혁신도시 더 M city 센텀)
4th row전북특별자치도 전주시 완산구 한두평3길 14 (중화산동2가)
5th row전북특별자치도 전주시 완산구 전라감영2길 17 (다가동1가)
ValueCountFrequency (%)
전북특별자치도 395
 
15.3%
전주시 395
 
15.3%
완산구 221
 
8.5%
덕진구 174
 
6.7%
1층 63
 
2.4%
금암동 29
 
1.1%
효자동1가 28
 
1.1%
서신동 24
 
0.9%
효자동2가 24
 
0.9%
백제대로 22
 
0.8%
Other values (526) 1214
46.9%
2024-03-14T19:16:03.564924image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2194
 
16.4%
전 817
 
6.1%
1 496
 
3.7%
자 470
 
3.5%
동 421
 
3.1%
북 413
 
3.1%
주 405
 
3.0%
시 402
 
3.0%
구 401
 
3.0%
도 399
 
3.0%
Other values (248) 6998
52.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8556
63.8%
Space Separator 2194
 
16.4%
Decimal Number 1655
 
12.3%
Open Punctuation 395
 
2.9%
Close Punctuation 395
 
2.9%
Other Punctuation 167
 
1.2%
Dash Punctuation 36
 
0.3%
Uppercase Letter 13
 
0.1%
Lowercase Letter 4
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 817
 
9.5%
자 470
 
5.5%
동 421
 
4.9%
북 413
 
4.8%
주 405
 
4.7%
시 402
 
4.7%
구 401
 
4.7%
도 399
 
4.7%
치 395
 
4.6%
별 395
 
4.6%
Other values (219) 4038
47.2%
Decimal Number
ValueCountFrequency (%)
1 496
30.0%
2 301
18.2%
0 152
 
9.2%
3 148
 
8.9%
4 132
 
8.0%
5 107
 
6.5%
6 105
 
6.3%
7 79
 
4.8%
9 68
 
4.1%
8 67
 
4.0%
Uppercase Letter
ValueCountFrequency (%)
A 4
30.8%
S 2
15.4%
C 2
15.4%
Y 1
 
7.7%
B 1
 
7.7%
L 1
 
7.7%
T 1
 
7.7%
M 1
 
7.7%
Lowercase Letter
ValueCountFrequency (%)
y 1
25.0%
t 1
25.0%
i 1
25.0%
c 1
25.0%
Other Punctuation
ValueCountFrequency (%)
, 166
99.4%
/ 1
 
0.6%
Space Separator
ValueCountFrequency (%)
2194
100.0%
Open Punctuation
ValueCountFrequency (%)
( 395
100.0%
Close Punctuation
ValueCountFrequency (%)
) 395
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 36
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8556
63.8%
Common 4843
36.1%
Latin 17
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 817
 
9.5%
자 470
 
5.5%
동 421
 
4.9%
북 413
 
4.8%
주 405
 
4.7%
시 402
 
4.7%
구 401
 
4.7%
도 399
 
4.7%
치 395
 
4.6%
별 395
 
4.6%
Other values (219) 4038
47.2%
Common
ValueCountFrequency (%)
2194
45.3%
1 496
 
10.2%
( 395
 
8.2%
) 395
 
8.2%
2 301
 
6.2%
, 166
 
3.4%
0 152
 
3.1%
3 148
 
3.1%
4 132
 
2.7%
5 107
 
2.2%
Other values (7) 357
 
7.4%
Latin
ValueCountFrequency (%)
A 4
23.5%
S 2
11.8%
C 2
11.8%
Y 1
 
5.9%
B 1
 
5.9%
L 1
 
5.9%
T 1
 
5.9%
y 1
 
5.9%
t 1
 
5.9%
i 1
 
5.9%
Other values (2) 2
11.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8556
63.8%
ASCII 4860
36.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2194
45.1%
1 496
 
10.2%
( 395
 
8.1%
) 395
 
8.1%
2 301
 
6.2%
, 166
 
3.4%
0 152
 
3.1%
3 148
 
3.0%
4 132
 
2.7%
5 107
 
2.2%
Other values (19) 374
 
7.7%
Hangul
ValueCountFrequency (%)
전 817
 
9.5%
자 470
 
5.5%
동 421
 
4.9%
북 413
 
4.8%
주 405
 
4.7%
시 402
 
4.7%
구 401
 
4.7%
도 399
 
4.7%
치 395
 
4.6%
별 395
 
4.6%
Other values (219) 4038
47.2%

지번주소
Text

Distinct383
Distinct (%)97.0%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2024-03-14T19:16:05.115504image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length29
Median length28
Mean length26.827848
Min length22

Characters and Unicode

Total characters10597
Distinct characters64
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

Unique372 ?
Unique (%)94.2%

Sample

1st row전북특별자치도 전주시 덕진구 덕진동2가 168-4
2nd row전북특별자치도 전주시 덕진구 금암동 720-35
3rd row전북특별자치도 전주시 덕진구 장동 1111
4th row전북특별자치도 전주시 완산구 중화산동2가 661
5th row전북특별자치도 전주시 완산구 다가동1가 44-5
ValueCountFrequency (%)
전북특별자치도 395
20.0%
전주시 395
20.0%
완산구 221
 
11.2%
덕진구 174
 
8.8%
금암동 29
 
1.5%
효자동1가 28
 
1.4%
효자동2가 25
 
1.3%
서신동 25
 
1.3%
인후동1가 22
 
1.1%
송천동2가 22
 
1.1%
Other values (420) 639
32.4%
2024-03-14T19:16:07.196886image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1580
 
14.9%
전 799
 
7.5%
1 464
 
4.4%
자 463
 
4.4%
북 406
 
3.8%
동 399
 
3.8%
구 395
 
3.7%
특 395
 
3.7%
도 395
 
3.7%
치 395
 
3.7%
Other values (54) 4906
46.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 6634
62.6%
Decimal Number 2012
 
19.0%
Space Separator 1580
 
14.9%
Dash Punctuation 371
 
3.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
전 799
 
12.0%
자 463
 
7.0%
북 406
 
6.1%
동 399
 
6.0%
구 395
 
6.0%
특 395
 
6.0%
도 395
 
6.0%
치 395
 
6.0%
시 395
 
6.0%
주 395
 
6.0%
Other values (42) 2197
33.1%
Decimal Number
ValueCountFrequency (%)
1 464
23.1%
2 307
15.3%
3 242
12.0%
5 173
 
8.6%
6 166
 
8.3%
7 160
 
8.0%
4 158
 
7.9%
8 138
 
6.9%
9 118
 
5.9%
0 86
 
4.3%
Space Separator
ValueCountFrequency (%)
1580
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 371
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 6634
62.6%
Common 3963
37.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
전 799
 
12.0%
자 463
 
7.0%
북 406
 
6.1%
동 399
 
6.0%
구 395
 
6.0%
특 395
 
6.0%
도 395
 
6.0%
치 395
 
6.0%
시 395
 
6.0%
주 395
 
6.0%
Other values (42) 2197
33.1%
Common
ValueCountFrequency (%)
1580
39.9%
1 464
 
11.7%
- 371
 
9.4%
2 307
 
7.7%
3 242
 
6.1%
5 173
 
4.4%
6 166
 
4.2%
7 160
 
4.0%
4 158
 
4.0%
8 138
 
3.5%
Other values (2) 204
 
5.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 6634
62.6%
ASCII 3963
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1580
39.9%
1 464
 
11.7%
- 371
 
9.4%
2 307
 
7.7%
3 242
 
6.1%
5 173
 
4.4%
6 166
 
4.2%
7 160
 
4.0%
4 158
 
4.0%
8 138
 
3.5%
Other values (2) 204
 
5.1%
Hangul
ValueCountFrequency (%)
전 799
 
12.0%
자 463
 
7.0%
북 406
 
6.1%
동 399
 
6.0%
구 395
 
6.0%
특 395
 
6.0%
도 395
 
6.0%
치 395
 
6.0%
시 395
 
6.0%
주 395
 
6.0%
Other values (42) 2197
33.1%

위도
Real number (ℝ)

Distinct384
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.827783
Minimum35.767899
Maximum35.879027
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-03-14T19:16:07.444675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.767899
5-th percentile35.794809
Q135.811497
median35.827117
Q335.842849
95-th percentile35.870599
Maximum35.879027
Range0.11112777
Interquartile range (IQR)0.031351645

Descriptive statistics

Standard deviation0.022563967
Coefficient of variation (CV)0.00062978964
Kurtosis-0.58504561
Mean35.827783
Median Absolute Deviation (MAD)0.01571793
Skewness0.26185121
Sum14151.974
Variance0.0005091326
MonotonicityNot monotonic
2024-03-14T19:16:07.730876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.7929159 3
 
0.8%
35.79837887 2
 
0.5%
35.81603724 2
 
0.5%
35.8735992 2
 
0.5%
35.84860884 2
 
0.5%
35.83359583 2
 
0.5%
35.82517775 2
 
0.5%
35.84066828 2
 
0.5%
35.85457451 2
 
0.5%
35.83213539 2
 
0.5%
Other values (374) 374
94.7%
ValueCountFrequency (%)
35.76789948 1
0.3%
35.78617072 1
0.3%
35.78676726 1
0.3%
35.78686647 1
0.3%
35.78691455 1
0.3%
35.78709035 1
0.3%
35.78710423 1
0.3%
35.78766758 1
0.3%
35.78850148 1
0.3%
35.78916338 1
0.3%
ValueCountFrequency (%)
35.87902725 1
0.3%
35.8788618 1
0.3%
35.87856246 1
0.3%
35.87673072 1
0.3%
35.87416504 1
0.3%
35.8741267 1
0.3%
35.87410972 1
0.3%
35.87375783 1
0.3%
35.8735992 2
0.5%
35.87285665 1
0.3%

경도
Real number (ℝ)

Distinct384
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean127.12839
Minimum127.05899
Maximum127.16951
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-03-14T19:16:08.072994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.05899
5-th percentile127.09737
Q1127.11629
median127.12845
Q3127.14341
95-th percentile127.15887
Maximum127.16951
Range0.1105158
Interquartile range (IQR)0.0271169

Descriptive statistics

Standard deviation0.020325378
Coefficient of variation (CV)0.00015988071
Kurtosis1.0611326
Mean127.12839
Median Absolute Deviation (MAD)0.0134409
Skewness-0.68563499
Sum50215.714
Variance0.00041312098
MonotonicityNot monotonic
2024-03-14T19:16:08.331850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
127.1323047 3
 
0.8%
127.1412902 2
 
0.5%
127.1064466 2
 
0.5%
127.1280028 2
 
0.5%
127.1545581 2
 
0.5%
127.1452822 2
 
0.5%
127.1342474 2
 
0.5%
127.1105537 2
 
0.5%
127.12046 2
 
0.5%
127.1445666 2
 
0.5%
Other values (374) 374
94.7%
ValueCountFrequency (%)
127.0589946 1
0.3%
127.0590138 1
0.3%
127.0599118 1
0.3%
127.0608674 1
0.3%
127.0618675 1
0.3%
127.0721458 1
0.3%
127.0733716 1
0.3%
127.0745609 1
0.3%
127.0763263 1
0.3%
127.0764546 1
0.3%
ValueCountFrequency (%)
127.1695104 1
0.3%
127.1693123 1
0.3%
127.1691275 1
0.3%
127.1673638 1
0.3%
127.1669005 1
0.3%
127.1661416 1
0.3%
127.1658588 1
0.3%
127.165674 1
0.3%
127.1642221 1
0.3%
127.1636583 1
0.3%

약국영업면적
Real number (ℝ)

ZEROS 

Distinct250
Distinct (%)63.6%
Missing2
Missing (%)0.5%
Infinite0
Infinite (%)0.0%
Mean46.491883
Minimum0
Maximum198.4
Zeros123
Zeros (%)31.1%
Negative0
Negative (%)0.0%
Memory size3.6 KiB
2024-03-14T19:16:08.587949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median45.78
Q369.96
95-th percentile121.2
Maximum198.4
Range198.4
Interquartile range (IQR)69.96

Descriptive statistics

Standard deviation42.272043
Coefficient of variation (CV)0.9092349
Kurtosis0.58828146
Mean46.491883
Median Absolute Deviation (MAD)38.22
Skewness0.80804827
Sum18271.31
Variance1786.9256
MonotonicityNot monotonic
2024-03-14T19:16:08.852731image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0.0 123
31.1%
29.7 4
 
1.0%
66.0 3
 
0.8%
36.0 3
 
0.8%
54.0 3
 
0.8%
52.0 3
 
0.8%
56.0 3
 
0.8%
60.0 2
 
0.5%
57.2 2
 
0.5%
86.0 2
 
0.5%
Other values (240) 245
62.0%
ValueCountFrequency (%)
0.0 123
31.1%
16.2 1
 
0.3%
16.24 1
 
0.3%
16.5 1
 
0.3%
17.05 1
 
0.3%
20.16 1
 
0.3%
20.4 1
 
0.3%
23.1 1
 
0.3%
23.14 1
 
0.3%
23.8 1
 
0.3%
ValueCountFrequency (%)
198.4 1
0.3%
196.74 1
0.3%
193.0 1
0.3%
186.06 1
0.3%
174.9 1
0.3%
165.0 1
0.3%
159.69 1
0.3%
153.6 1
0.3%
147.68 1
0.3%
143.0 1
0.3%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size3.2 KiB
2023-11-20
395 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-11-20
2nd row2023-11-20
3rd row2023-11-20
4th row2023-11-20
5th row2023-11-20

Common Values

ValueCountFrequency (%)
2023-11-20 395
100.0%

Length

2024-03-14T19:16:09.180995image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-14T19:16:09.346136image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-11-20 395
100.0%

Interactions

2024-03-14T19:15:53.406409image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:15:51.998812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:15:52.779653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:15:53.569287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:15:52.253677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:15:53.035195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:15:53.732343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:15:52.508582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T19:15:53.237337image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T19:16:09.449056image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도약국영업면적
위도1.0000.8050.000
경도0.8051.0000.000
약국영업면적0.0000.0001.000
2024-03-14T19:16:09.598799image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도약국영업면적
위도1.0000.069-0.028
경도0.0691.000-0.106
약국영업면적-0.028-0.1061.000

Missing values

2024-03-14T19:15:53.967119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T19:15:54.380311image/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.
2024-03-14T19:15:54.703787image/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

사업장명인허가일자상세영업상태명소재지전화도로명주소지번주소위도경도약국영업면적데이터기준일자
021세기건강약국2008-12-02영업중063-251-0671전북특별자치도 전주시 덕진구 송천중앙로 39 (덕진동2가)전북특별자치도 전주시 덕진구 덕진동2가 168-435.850648127.11954260.02023-11-20
121세기종합약국1994-09-09영업중063-274-4949전북특별자치도 전주시 덕진구 기린대로 400-8 (금암동)전북특별자치도 전주시 덕진구 금암동 720-3535.83802127.13283733.252023-11-20
2365일박사약국2020-08-31영업중<NA>전북특별자치도 전주시 덕진구 기지로 77, 302동 A-113호 (장동, 전북혁신도시 더 M city 센텀)전북특별자치도 전주시 덕진구 장동 111135.838977127.05991245.62023-11-20
3가나약국2017-09-01영업중063-226-4488전북특별자치도 전주시 완산구 한두평3길 14 (중화산동2가)전북특별자치도 전주시 완산구 중화산동2가 66135.814672127.1242650.02023-11-20
4감초당약국1983-04-06영업중<NA>전북특별자치도 전주시 완산구 전라감영2길 17 (다가동1가)전북특별자치도 전주시 완산구 다가동1가 44-535.815488127.1419150.02023-11-20
5강림약국2004-08-26영업중063-241-8434전북특별자치도 전주시 덕진구 우아3길 22 (우아동3가)전북특별자치도 전주시 덕진구 우아동3가 730-635.848609127.1545580.02023-11-20
6강약국2019-08-07영업중<NA>전북특별자치도 전주시 덕진구 솔내로 184, 106호 (송천동2가)전북특별자치도 전주시 덕진구 송천동2가 220-835.866336127.12744356.82023-11-20
7건강나라약국2003-10-17영업중<NA>전북특별자치도 전주시 완산구 유연로 277 (서신동)전북특별자치도 전주시 완산구 서신동 856-435.825569127.1160410.02023-11-20
8건강사랑모래내수약국2006-03-03영업중063-251-5161전북특별자치도 전주시 덕진구 안덕원로 153 (인후동2가)전북특별자치도 전주시 덕진구 인후동2가 236-16535.833071127.1448840.02023-11-20
9건강솔약국2009-10-12영업중063-908-8063전북특별자치도 전주시 덕진구 사평로 38 (덕진동1가)전북특별자치도 전주시 덕진구 덕진동1가 1408-535.840869127.12122749.02023-11-20
사업장명인허가일자상세영업상태명소재지전화도로명주소지번주소위도경도약국영업면적데이터기준일자
385효자애플약국2014-11-17영업중063-221-1412전북특별자치도 전주시 완산구 쑥고개로 317 (효자동2가)전북특별자치도 전주시 완산구 효자동2가 1214-535.802553127.09990775.242023-11-20
386효자우리약국2012-07-20영업중063-236-2282전북특별자치도 전주시 완산구 우전로 225 (효자동2가)전북특별자치도 전주시 완산구 효자동2가 1240-835.814431127.101463124.962023-11-20
387효자조은약국2014-08-18영업중063-223-1276전북특별자치도 전주시 완산구 효동2길 1 (효자동1가)전북특별자치도 전주시 완산구 효자동1가 202-135.805857127.1281353.52023-11-20
388효자종로약국2018-08-27영업중063-224-8275전북특별자치도 전주시 완산구 용머리로 112 (효자동1가)전북특별자치도 전주시 완산구 효자동1가 548-135.805754127.12239549.02023-11-20
389효천큰약국2021-02-26영업중<NA>전북특별자치도 전주시 완산구 효천중앙로 55, 1층 104호 (효자동2가)전북특별자치도 전주시 완산구 효자동2가 1377-235.798957127.10787650.762023-11-20
390휴베이스효천약국2019-11-01영업중063-225-1728전북특별자치도 전주시 완산구 천잠로 164, 1층 (효자동2가)전북특별자치도 전주시 완산구 효자동2가 1214-335.802419127.09930272.62023-11-20
391휴약국2019-03-15영업중<NA>전북특별자치도 전주시 완산구 모악로 4665, 113호 (평화동2가)전북특별자치도 전주시 완산구 평화동2가 325-1735.786171127.12926148.32023-11-20
392휴플러스약국2016-04-01영업중063-247-8770전북특별자치도 전주시 덕진구 안덕원로 257 (인후동1가, 인후동성당)전북특별자치도 전주시 덕진구 인후동1가 768-835.836919127.15515566.02023-11-20
393희망약국2012-12-10영업중063-228-2490전북특별자치도 전주시 완산구 장승배기로 200 (평화동1가)전북특별자치도 전주시 완산구 평화동1가 710-735.796022127.13477996.722023-11-20
394힘-찬약국2013-07-04영업중063-278-6100전북특별자치도 전주시 덕진구 기린대로 485 (덕진동1가)전북특별자치도 전주시 덕진구 덕진동1가 1275-1835.84264127.12471459.522023-11-20