Overview

Dataset statistics

Number of variables4
Number of observations96
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory34.4 B

Variable types

Numeric1
Text3

Dataset

Description부산광역시_서구_약국현황_20230515
Author부산광역시 서구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3045752

Alerts

순번 has unique valuesUnique
약국전화번호 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:54:34.148764
Analysis finished2023-12-10 16:54:35.989813
Duration1.84 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean48.5
Minimum1
Maximum96
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size996.0 B
2023-12-11T01:54:36.113183image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.75
Q124.75
median48.5
Q372.25
95-th percentile91.25
Maximum96
Range95
Interquartile range (IQR)47.5

Descriptive statistics

Standard deviation27.856777
Coefficient of variation (CV)0.57436653
Kurtosis-1.2
Mean48.5
Median Absolute Deviation (MAD)24
Skewness0
Sum4656
Variance776
MonotonicityStrictly increasing
2023-12-11T01:54:36.331526image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
50 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
69 1
 
1.0%
68 1
 
1.0%
67 1
 
1.0%
66 1
 
1.0%
65 1
 
1.0%
Other values (86) 86
89.6%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
96 1
1.0%
95 1
1.0%
94 1
1.0%
93 1
1.0%
92 1
1.0%
91 1
1.0%
90 1
1.0%
89 1
1.0%
88 1
1.0%
87 1
1.0%

약국명칭
Text

Distinct94
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size900.0 B
2023-12-11T01:54:36.761664image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length8
Mean length4.8229167
Min length3

Characters and Unicode

Total characters463
Distinct characters125
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

Unique92 ?
Unique (%)95.8%

Sample

1st row자갈치약국
2nd row로타리약국
3rd row주차장온누리약국
4th row약국Revive
5th row다정온누리약국
ValueCountFrequency (%)
대학약국 2
 
2.1%
새봄약국 2
 
2.1%
자갈치약국 1
 
1.0%
매일약국 1
 
1.0%
가까운우리약국 1
 
1.0%
123약국 1
 
1.0%
메디팜큰사랑약국 1
 
1.0%
동아약국 1
 
1.0%
희망온누리약국 1
 
1.0%
늘푸른약국 1
 
1.0%
Other values (84) 84
87.5%
2023-12-11T01:54:37.438695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
약 96
20.7%
국 96
20.7%
동 11
 
2.4%
대 10
 
2.2%
리 9
 
1.9%
신 9
 
1.9%
한 7
 
1.5%
새 6
 
1.3%
성 6
 
1.3%
정 6
 
1.3%
Other values (115) 207
44.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 454
98.1%
Lowercase Letter 5
 
1.1%
Decimal Number 3
 
0.6%
Uppercase Letter 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
약 96
21.1%
국 96
21.1%
동 11
 
2.4%
대 10
 
2.2%
리 9
 
2.0%
신 9
 
2.0%
한 7
 
1.5%
새 6
 
1.3%
성 6
 
1.3%
정 6
 
1.3%
Other values (108) 198
43.6%
Lowercase Letter
ValueCountFrequency (%)
v 2
40.0%
e 2
40.0%
i 1
20.0%
Decimal Number
ValueCountFrequency (%)
1 1
33.3%
3 1
33.3%
2 1
33.3%
Uppercase Letter
ValueCountFrequency (%)
R 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 454
98.1%
Latin 6
 
1.3%
Common 3
 
0.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
약 96
21.1%
국 96
21.1%
동 11
 
2.4%
대 10
 
2.2%
리 9
 
2.0%
신 9
 
2.0%
한 7
 
1.5%
새 6
 
1.3%
성 6
 
1.3%
정 6
 
1.3%
Other values (108) 198
43.6%
Latin
ValueCountFrequency (%)
v 2
33.3%
e 2
33.3%
R 1
16.7%
i 1
16.7%
Common
ValueCountFrequency (%)
1 1
33.3%
3 1
33.3%
2 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 454
98.1%
ASCII 9
 
1.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
약 96
21.1%
국 96
21.1%
동 11
 
2.4%
대 10
 
2.2%
리 9
 
2.0%
신 9
 
2.0%
한 7
 
1.5%
새 6
 
1.3%
성 6
 
1.3%
정 6
 
1.3%
Other values (108) 198
43.6%
ASCII
ValueCountFrequency (%)
v 2
22.2%
e 2
22.2%
R 1
11.1%
1 1
11.1%
3 1
11.1%
2 1
11.1%
i 1
11.1%

약국전화번호
Text

UNIQUE 

Distinct96
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size900.0 B
2023-12-11T01:54:37.951628image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length11.90625
Min length1

Characters and Unicode

Total characters1143
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

Unique96 ?
Unique (%)100.0%

Sample

1st row051-257-8177
2nd row0507-1357-4065
3rd row051-248-3355
4th row051-242-2046
5th row051-711-2203
ValueCountFrequency (%)
051-257-8177 1
 
1.0%
0507-1357-4065 1
 
1.0%
051-257-3388 1
 
1.0%
051-241-0123 1
 
1.0%
051-244-5040 1
 
1.0%
051-246-5656 1
 
1.0%
051-231-0301 1
 
1.0%
051-245-0116 1
 
1.0%
051-244-1015 1
 
1.0%
051-231-2600 1
 
1.0%
Other values (86) 86
89.6%
2023-12-11T01:54:38.756498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 191
16.7%
5 190
16.6%
0 149
13.0%
1 146
12.8%
2 140
12.2%
4 85
7.4%
3 72
 
6.3%
6 49
 
4.3%
8 43
 
3.8%
7 41
 
3.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 952
83.3%
Dash Punctuation 191
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
5 190
20.0%
0 149
15.7%
1 146
15.3%
2 140
14.7%
4 85
8.9%
3 72
 
7.6%
6 49
 
5.1%
8 43
 
4.5%
7 41
 
4.3%
9 37
 
3.9%
Dash Punctuation
ValueCountFrequency (%)
- 191
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1143
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 191
16.7%
5 190
16.6%
0 149
13.0%
1 146
12.8%
2 140
12.2%
4 85
7.4%
3 72
 
6.3%
6 49
 
4.3%
8 43
 
3.8%
7 41
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1143
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 191
16.7%
5 190
16.6%
0 149
13.0%
1 146
12.8%
2 140
12.2%
4 85
7.4%
3 72
 
6.3%
6 49
 
4.3%
8 43
 
3.8%
7 41
 
3.6%

약국소재지(도로명)
Text

Distinct94
Distinct (%)97.9%
Missing0
Missing (%)0.0%
Memory size900.0 B
2023-12-11T01:54:39.231523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length62
Median length40
Mean length27.708333
Min length22

Characters and Unicode

Total characters2660
Distinct characters89
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique92 ?
Unique (%)95.8%

Sample

1st row부산광역시 서구 구덕로 95(충무동1가)
2nd row부산광역시 서구 자갈치로 2(충무동1가)
3rd row부산광역시 서구 보수대로280번길 39-4, 101호 (서대신동3가)
4th row부산광역시 서구 보수대로280번길 56(서대신동3가)
5th row부산광역시 서구 까치고개로 195, 1층 (아미동2가)
ValueCountFrequency (%)
부산광역시 96
18.7%
서구 96
18.7%
구덕로 18
 
3.5%
서대신동3가 14
 
2.7%
아미동2가 11
 
2.1%
암남동 10
 
1.9%
1층 10
 
1.9%
충무동1가 10
 
1.9%
감천로 9
 
1.8%
남부민동 8
 
1.6%
Other values (140) 232
45.1%
2023-12-11T01:54:40.044647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
418
 
15.7%
1 135
 
5.1%
서 119
 
4.5%
동 118
 
4.4%
구 118
 
4.4%
부 112
 
4.2%
산 98
 
3.7%
시 97
 
3.6%
( 96
 
3.6%
광 96
 
3.6%
Other values (79) 1253
47.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1562
58.7%
Decimal Number 436
 
16.4%
Space Separator 418
 
15.7%
Open Punctuation 96
 
3.6%
Close Punctuation 96
 
3.6%
Other Punctuation 29
 
1.1%
Dash Punctuation 22
 
0.8%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
서 119
 
7.6%
동 118
 
7.6%
구 118
 
7.6%
부 112
 
7.2%
산 98
 
6.3%
시 97
 
6.2%
광 96
 
6.1%
역 96
 
6.1%
로 95
 
6.1%
가 77
 
4.9%
Other values (63) 536
34.3%
Decimal Number
ValueCountFrequency (%)
1 135
31.0%
2 80
18.3%
3 55
12.6%
0 29
 
6.7%
4 26
 
6.0%
9 25
 
5.7%
5 25
 
5.7%
6 24
 
5.5%
8 19
 
4.4%
7 18
 
4.1%
Space Separator
ValueCountFrequency (%)
418
100.0%
Open Punctuation
ValueCountFrequency (%)
( 96
100.0%
Close Punctuation
ValueCountFrequency (%)
) 96
100.0%
Other Punctuation
ValueCountFrequency (%)
, 29
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1562
58.7%
Common 1098
41.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
서 119
 
7.6%
동 118
 
7.6%
구 118
 
7.6%
부 112
 
7.2%
산 98
 
6.3%
시 97
 
6.2%
광 96
 
6.1%
역 96
 
6.1%
로 95
 
6.1%
가 77
 
4.9%
Other values (63) 536
34.3%
Common
ValueCountFrequency (%)
418
38.1%
1 135
 
12.3%
( 96
 
8.7%
) 96
 
8.7%
2 80
 
7.3%
3 55
 
5.0%
, 29
 
2.6%
0 29
 
2.6%
4 26
 
2.4%
9 25
 
2.3%
Other values (6) 109
 
9.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1562
58.7%
ASCII 1098
41.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
418
38.1%
1 135
 
12.3%
( 96
 
8.7%
) 96
 
8.7%
2 80
 
7.3%
3 55
 
5.0%
, 29
 
2.6%
0 29
 
2.6%
4 26
 
2.4%
9 25
 
2.3%
Other values (6) 109
 
9.9%
Hangul
ValueCountFrequency (%)
서 119
 
7.6%
동 118
 
7.6%
구 118
 
7.6%
부 112
 
7.2%
산 98
 
6.3%
시 97
 
6.2%
광 96
 
6.1%
역 96
 
6.1%
로 95
 
6.1%
가 77
 
4.9%
Other values (63) 536
34.3%

Interactions

2023-12-11T01:54:35.270168image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:54:40.200024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번약국명칭약국전화번호약국소재지(도로명)
순번1.0001.0001.0000.970
약국명칭1.0001.0001.0000.998
약국전화번호1.0001.0001.0001.000
약국소재지(도로명)0.9700.9981.0001.000

Missing values

2023-12-11T01:54:35.449366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:54:35.946507image/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

순번약국명칭약국전화번호약국소재지(도로명)
01자갈치약국051-257-8177부산광역시 서구 구덕로 95(충무동1가)
12로타리약국0507-1357-4065부산광역시 서구 자갈치로 2(충무동1가)
23주차장온누리약국051-248-3355부산광역시 서구 보수대로280번길 39-4, 101호 (서대신동3가)
34약국Revive051-242-2046부산광역시 서구 보수대로280번길 56(서대신동3가)
45다정온누리약국051-711-2203부산광역시 서구 까치고개로 195, 1층 (아미동2가)
56주차편한약국051-248-6637부산광역시 서구 감천로 247, 1-2층 (암남동)
67건강제이드약국051-254-9872부산광역시 서구 동대로 20, 1층 (동대신동3가)
78진약국051-231-9471부산광역시 서구 구덕로 102-1, 1층 (충무동1가)
89신호등약국051-242-5100부산광역시 서구 까치고개로 206-1 (아미동2가)
910동아후문약국051-245-4545부산광역시 서구 동대로19번길 32, 지하3층 101호 (동대신동3가, 브라운스톤 하이포레)
순번약국명칭약국전화번호약국소재지(도로명)
8687명성약국051-255-9788부산광역시 서구 충무대로 283 (충무동1가)
8788대흥약국051-256-3033부산광역시 서구 부용로 21 (서대신동1가)
8889삼우약국051-253-3669부산광역시 서구 천마로 195 (남부민동)
8990한영약국051-256-4765부산광역시 서구 구덕로165번길 34 (아미동2가)
9091버드나무약국051-242-6355부산광역시 서구 대영로 80-1 (동대신동1가)
9192단성약국051-256-5114부산광역시 서구 해돋이로 268 (아미동2가)
9293동일약국051-242-6098부산광역시 서구 해돋이로 37-1 (남부민동)
9394동신약국051-256-3763부산광역시 서구 천마로 139 (남부민동)
9495이약국051-256-2351부산광역시 서구 해돋이로269번길 4 (아미동2가)
9596삼성약국051-242-9187부산광역시 서구 대영로74번길 36 (동대신동1가)