Overview

Dataset statistics

Number of variables4
Number of observations217
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory7.1 KiB
Average record size in memory33.6 B

Variable types

Numeric1
Text3

Dataset

Description부산진구 관내에 위치한 약국 현황에 대한 데이터로 약국 명칭, 약국 소재지, 약국 전화번호 정보 등의 항목을 제공하고 있습니다.
URLhttps://www.data.go.kr/data/15084939/fileData.do

Alerts

순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:59:18.161246
Analysis finished2023-12-12 16:59:18.705204
Duration0.54 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct217
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109
Minimum1
Maximum217
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-13T01:59:18.790582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile11.8
Q155
median109
Q3163
95-th percentile206.2
Maximum217
Range216
Interquartile range (IQR)108

Descriptive statistics

Standard deviation62.786676
Coefficient of variation (CV)0.57602455
Kurtosis-1.2
Mean109
Median Absolute Deviation (MAD)54
Skewness0
Sum23653
Variance3942.1667
MonotonicityStrictly increasing
2023-12-13T01:59:18.961567image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.5%
150 1
 
0.5%
139 1
 
0.5%
140 1
 
0.5%
141 1
 
0.5%
142 1
 
0.5%
143 1
 
0.5%
144 1
 
0.5%
145 1
 
0.5%
146 1
 
0.5%
Other values (207) 207
95.4%
ValueCountFrequency (%)
1 1
0.5%
2 1
0.5%
3 1
0.5%
4 1
0.5%
5 1
0.5%
6 1
0.5%
7 1
0.5%
8 1
0.5%
9 1
0.5%
10 1
0.5%
ValueCountFrequency (%)
217 1
0.5%
216 1
0.5%
215 1
0.5%
214 1
0.5%
213 1
0.5%
212 1
0.5%
211 1
0.5%
210 1
0.5%
209 1
0.5%
208 1
0.5%

약국명칭
Text

Distinct201
Distinct (%)92.6%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-13T01:59:19.299483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length4
Mean length4.8202765
Min length3

Characters and Unicode

Total characters1046
Distinct characters193
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

Unique190 ?
Unique (%)87.6%

Sample

1st row양정이화약국
2nd row부전세명약국
3rd row산들약국
4th row다나약국
5th row맑은샘약국
ValueCountFrequency (%)
미소약국 4
 
1.8%
동인당약국 3
 
1.4%
행복약국 3
 
1.4%
건강약국 3
 
1.4%
드림약국 2
 
0.9%
리드팜백화점약국 2
 
0.9%
편안한약국 2
 
0.9%
온누리 2
 
0.9%
홍약국 2
 
0.9%
밝은약국 2
 
0.9%
Other values (194) 196
88.7%
2023-12-13T01:59:20.202175image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
약 218
20.8%
국 218
20.8%
리 20
 
1.9%
동 17
 
1.6%
한 16
 
1.5%
부 14
 
1.3%
정 14
 
1.3%
은 13
 
1.2%
온 12
 
1.1%
성 10
 
1.0%
Other values (183) 494
47.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1033
98.8%
Decimal Number 6
 
0.6%
Space Separator 4
 
0.4%
Lowercase Letter 2
 
0.2%
Uppercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
약 218
21.1%
국 218
21.1%
리 20
 
1.9%
동 17
 
1.6%
한 16
 
1.5%
부 14
 
1.4%
정 14
 
1.4%
은 13
 
1.3%
온 12
 
1.2%
성 10
 
1.0%
Other values (174) 481
46.6%
Decimal Number
ValueCountFrequency (%)
2 2
33.3%
6 1
16.7%
5 1
16.7%
4 1
16.7%
3 1
16.7%
Lowercase Letter
ValueCountFrequency (%)
h 1
50.0%
e 1
50.0%
Space Separator
ValueCountFrequency (%)
4
100.0%
Uppercase Letter
ValueCountFrequency (%)
T 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1033
98.8%
Common 10
 
1.0%
Latin 3
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
약 218
21.1%
국 218
21.1%
리 20
 
1.9%
동 17
 
1.6%
한 16
 
1.5%
부 14
 
1.4%
정 14
 
1.4%
은 13
 
1.3%
온 12
 
1.2%
성 10
 
1.0%
Other values (174) 481
46.6%
Common
ValueCountFrequency (%)
4
40.0%
2 2
20.0%
6 1
 
10.0%
5 1
 
10.0%
4 1
 
10.0%
3 1
 
10.0%
Latin
ValueCountFrequency (%)
T 1
33.3%
h 1
33.3%
e 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1033
98.8%
ASCII 13
 
1.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
약 218
21.1%
국 218
21.1%
리 20
 
1.9%
동 17
 
1.6%
한 16
 
1.5%
부 14
 
1.4%
정 14
 
1.4%
은 13
 
1.3%
온 12
 
1.2%
성 10
 
1.0%
Other values (174) 481
46.6%
ASCII
ValueCountFrequency (%)
4
30.8%
2 2
15.4%
6 1
 
7.7%
5 1
 
7.7%
4 1
 
7.7%
3 1
 
7.7%
T 1
 
7.7%
h 1
 
7.7%
e 1
 
7.7%

약국전화번호
Text

Distinct214
Distinct (%)98.6%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-13T01:59:20.911258image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.004608
Min length12

Characters and Unicode

Total characters2605
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

Unique211 ?
Unique (%)97.2%

Sample

1st row051-852-7979
2nd row000-000-0000
3rd row051-926-2100
4th row051-818-0365
5th row051-637-5701
ValueCountFrequency (%)
000-000-0000 2
 
0.9%
051-819-2688 2
 
0.9%
051-806-8803 2
 
0.9%
051-862-3751 1
 
0.5%
051-819-9909 1
 
0.5%
051-634-7300 1
 
0.5%
051-818-1233 1
 
0.5%
051-892-1280 1
 
0.5%
051-806-8002 1
 
0.5%
051-897-4284 1
 
0.5%
Other values (204) 204
94.0%
2023-12-13T01:59:21.464781image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 434
16.7%
0 426
16.4%
1 360
13.8%
5 314
12.1%
8 289
11.1%
9 168
 
6.4%
7 145
 
5.6%
6 137
 
5.3%
4 117
 
4.5%
2 116
 
4.5%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2171
83.3%
Dash Punctuation 434
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 426
19.6%
1 360
16.6%
5 314
14.5%
8 289
13.3%
9 168
 
7.7%
7 145
 
6.7%
6 137
 
6.3%
4 117
 
5.4%
2 116
 
5.3%
3 99
 
4.6%
Dash Punctuation
ValueCountFrequency (%)
- 434
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2605
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 434
16.7%
0 426
16.4%
1 360
13.8%
5 314
12.1%
8 289
11.1%
9 168
 
6.4%
7 145
 
5.6%
6 137
 
5.3%
4 117
 
4.5%
2 116
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2605
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 434
16.7%
0 426
16.4%
1 360
13.8%
5 314
12.1%
8 289
11.1%
9 168
 
6.4%
7 145
 
5.6%
6 137
 
5.3%
4 117
 
4.5%
2 116
 
4.5%

약국소재지(도로명)
Text

Distinct215
Distinct (%)99.1%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
2023-12-13T01:59:21.979287image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length49
Median length42
Mean length29.138249
Min length22

Characters and Unicode

Total characters6323
Distinct characters177
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

Unique213 ?
Unique (%)98.2%

Sample

1st row부산광역시 부산진구 중앙대로 912 (양정동)
2nd row부산광역시 부산진구 중앙대로 757-1, (부전동)
3rd row부산광역시 부산진구 진남로 587, 1층 (양정동)
4th row부산광역시 부산진구 서면로 62 (부전동)
5th row부산광역시 부산진구 황령대로 14-1, 1층 (범천동)
ValueCountFrequency (%)
부산광역시 217
17.3%
부산진구 217
17.3%
1층 71
 
5.7%
부전동 67
 
5.3%
가야대로 37
 
2.9%
중앙대로 33
 
2.6%
개금동 33
 
2.6%
양정동 24
 
1.9%
당감동 22
 
1.8%
범천동 19
 
1.5%
Other values (325) 516
41.1%
2023-12-13T01:59:22.724052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1042
 
16.5%
부 523
 
8.3%
산 435
 
6.9%
동 247
 
3.9%
시 226
 
3.6%
1 226
 
3.6%
진 225
 
3.6%
광 224
 
3.5%
역 218
 
3.4%
로 217
 
3.4%
Other values (167) 2740
43.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3860
61.0%
Space Separator 1042
 
16.5%
Decimal Number 812
 
12.8%
Open Punctuation 217
 
3.4%
Close Punctuation 217
 
3.4%
Other Punctuation 134
 
2.1%
Dash Punctuation 31
 
0.5%
Uppercase Letter 9
 
0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
부 523
13.5%
산 435
 
11.3%
동 247
 
6.4%
시 226
 
5.9%
진 225
 
5.8%
광 224
 
5.8%
역 218
 
5.6%
로 217
 
5.6%
구 217
 
5.6%
전 95
 
2.5%
Other values (145) 1233
31.9%
Decimal Number
ValueCountFrequency (%)
1 226
27.8%
7 103
12.7%
2 83
 
10.2%
0 78
 
9.6%
6 72
 
8.9%
4 61
 
7.5%
3 60
 
7.4%
5 56
 
6.9%
8 41
 
5.0%
9 32
 
3.9%
Uppercase Letter
ValueCountFrequency (%)
B 3
33.3%
E 2
22.2%
L 1
 
11.1%
G 1
 
11.1%
P 1
 
11.1%
R 1
 
11.1%
Space Separator
ValueCountFrequency (%)
1042
100.0%
Open Punctuation
ValueCountFrequency (%)
( 217
100.0%
Close Punctuation
ValueCountFrequency (%)
) 217
100.0%
Other Punctuation
ValueCountFrequency (%)
, 134
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 31
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3860
61.0%
Common 2454
38.8%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
부 523
13.5%
산 435
 
11.3%
동 247
 
6.4%
시 226
 
5.9%
진 225
 
5.8%
광 224
 
5.8%
역 218
 
5.6%
로 217
 
5.6%
구 217
 
5.6%
전 95
 
2.5%
Other values (145) 1233
31.9%
Common
ValueCountFrequency (%)
1042
42.5%
1 226
 
9.2%
( 217
 
8.8%
) 217
 
8.8%
, 134
 
5.5%
7 103
 
4.2%
2 83
 
3.4%
0 78
 
3.2%
6 72
 
2.9%
4 61
 
2.5%
Other values (6) 221
 
9.0%
Latin
ValueCountFrequency (%)
B 3
33.3%
E 2
22.2%
L 1
 
11.1%
G 1
 
11.1%
P 1
 
11.1%
R 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3860
61.0%
ASCII 2463
39.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1042
42.3%
1 226
 
9.2%
( 217
 
8.8%
) 217
 
8.8%
, 134
 
5.4%
7 103
 
4.2%
2 83
 
3.4%
0 78
 
3.2%
6 72
 
2.9%
4 61
 
2.5%
Other values (12) 230
 
9.3%
Hangul
ValueCountFrequency (%)
부 523
13.5%
산 435
 
11.3%
동 247
 
6.4%
시 226
 
5.9%
진 225
 
5.8%
광 224
 
5.8%
역 218
 
5.6%
로 217
 
5.6%
구 217
 
5.6%
전 95
 
2.5%
Other values (145) 1233
31.9%

Interactions

2023-12-13T01:59:18.397052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-13T01:59:18.543460image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:59:18.662275image/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)
01양정이화약국051-852-7979부산광역시 부산진구 중앙대로 912 (양정동)
12부전세명약국000-000-0000부산광역시 부산진구 중앙대로 757-1, (부전동)
23산들약국051-926-2100부산광역시 부산진구 진남로 587, 1층 (양정동)
34다나약국051-818-0365부산광역시 부산진구 서면로 62 (부전동)
45맑은샘약국051-637-5701부산광역시 부산진구 황령대로 14-1, 1층 (범천동)
56로타리약국051-633-9145부산광역시 부산진구 중앙대로 613(범천동)
67양정온누리약국051-714-5192부산광역시 부산진구 중앙대로 900, 영진제우스 1층 (양정동)
78어반약국051-808-7707부산광역시 부산진구 성지로 37, 3동 206호 (연지동, 래미안어반파크)
89하마정약국051-861-6288부산광역시 부산진구 동평로 366, 1층 (양정동)
910스마트약국051-930-1701부산광역시 부산진구 중앙대로 777, 서면호텔 복합시설 1층 (부전동)
순번약국명칭약국전화번호약국소재지(도로명)
207208온누리 주민약국051-895-5024부산광역시 부산진구 가야대로 594 (가야동)
208209은아약국051-805-8839부산광역시 부산진구 새싹로 158 (연지동)
209210코스코약국051-892-8313부산광역시 부산진구 엄광로 30 (개금동)
210211온정약국051-852-8858부산광역시 부산진구 동평로 420 (양정동)
211212부일약국051-809-7211부산광역시 부산진구 중앙대로755번길 16 (부전동)
212213한신약국051-811-1472부산광역시 부산진구 동천로 116, 403호 (전포동, 한신밴오피스텔)
213214임약국051-862-3751부산광역시 부산진구 동평로 370, 1층 (양정동)
214215삼익약국051-895-4959부산광역시 부산진구 당감로 15, 3층 (당감동, 삼익상가)
215216온누리 성진약국051-867-4229부산광역시 부산진구 연수로 49-1 (양정동)
216217금성당한약국051-893-4541부산광역시 부산진구 냉정로 217, 2층 (개금동)