Overview

Dataset statistics

Number of variables4
Number of observations165
Missing cells5
Missing cells (%)0.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.4 KiB
Average record size in memory33.8 B

Variable types

Numeric1
Text3

Dataset

Description부산광역시해운대구_약국현황_20201216
Author부산광역시 해운대구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3075588

Alerts

전화번호 has 5 (3.0%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:51:20.394250
Analysis finished2023-12-10 16:51:21.178196
Duration0.78 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct165
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean83
Minimum1
Maximum165
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-11T01:51:21.656306image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.2
Q142
median83
Q3124
95-th percentile156.8
Maximum165
Range164
Interquartile range (IQR)82

Descriptive statistics

Standard deviation47.775517
Coefficient of variation (CV)0.57560864
Kurtosis-1.2
Mean83
Median Absolute Deviation (MAD)41
Skewness0
Sum13695
Variance2282.5
MonotonicityStrictly increasing
2023-12-11T01:51:21.986143image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
105 1
 
0.6%
107 1
 
0.6%
108 1
 
0.6%
109 1
 
0.6%
110 1
 
0.6%
111 1
 
0.6%
112 1
 
0.6%
113 1
 
0.6%
114 1
 
0.6%
Other values (155) 155
93.9%
ValueCountFrequency (%)
1 1
0.6%
2 1
0.6%
3 1
0.6%
4 1
0.6%
5 1
0.6%
6 1
0.6%
7 1
0.6%
8 1
0.6%
9 1
0.6%
10 1
0.6%
ValueCountFrequency (%)
165 1
0.6%
164 1
0.6%
163 1
0.6%
162 1
0.6%
161 1
0.6%
160 1
0.6%
159 1
0.6%
158 1
0.6%
157 1
0.6%
156 1
0.6%
Distinct155
Distinct (%)93.9%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T01:51:22.542549image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length4.8787879
Min length3

Characters and Unicode

Total characters805
Distinct characters176
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique145 ?
Unique (%)87.9%

Sample

1st row장산3층약국
2nd row정문약국
3rd row동산약국
4th row더좋은약사와약국
5th row소나무약국
ValueCountFrequency (%)
초록약국 2
 
1.2%
성심약국 2
 
1.2%
행복한약국 2
 
1.2%
미술관옆약국 2
 
1.2%
참사랑약국 2
 
1.2%
아름약국 2
 
1.2%
하나약국 2
 
1.2%
센텀중앙약국 2
 
1.2%
장산약국 2
 
1.2%
화목2층약국 2
 
1.2%
Other values (148) 148
88.1%
2023-12-11T01:51:23.378863image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
167
20.7%
166
20.6%
15
 
1.9%
13
 
1.6%
12
 
1.5%
10
 
1.2%
10
 
1.2%
10
 
1.2%
9
 
1.1%
9
 
1.1%
Other values (166) 384
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 798
99.1%
Decimal Number 4
 
0.5%
Space Separator 3
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
167
20.9%
166
20.8%
15
 
1.9%
13
 
1.6%
12
 
1.5%
10
 
1.3%
10
 
1.3%
10
 
1.3%
9
 
1.1%
9
 
1.1%
Other values (162) 377
47.2%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
3 1
25.0%
1 1
25.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 798
99.1%
Common 7
 
0.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
167
20.9%
166
20.8%
15
 
1.9%
13
 
1.6%
12
 
1.5%
10
 
1.3%
10
 
1.3%
10
 
1.3%
9
 
1.1%
9
 
1.1%
Other values (162) 377
47.2%
Common
ValueCountFrequency (%)
3
42.9%
2 2
28.6%
3 1
 
14.3%
1 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 798
99.1%
ASCII 7
 
0.9%

Most frequent character per block

Hangul
ValueCountFrequency (%)
167
20.9%
166
20.8%
15
 
1.9%
13
 
1.6%
12
 
1.5%
10
 
1.3%
10
 
1.3%
10
 
1.3%
9
 
1.1%
9
 
1.1%
Other values (162) 377
47.2%
ASCII
ValueCountFrequency (%)
3
42.9%
2 2
28.6%
3 1
 
14.3%
1 1
 
14.3%
Distinct161
Distinct (%)97.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
2023-12-11T01:51:23.725099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length53
Median length40
Mean length32.793939
Min length22

Characters and Unicode

Total characters5411
Distinct characters178
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

Unique157 ?
Unique (%)95.2%

Sample

1st row부산광역시 해운대구 세실로 64, 303호 (좌동, 화목데파트)
2nd row부산광역시 해운대구 신반송로 180, 1층 (반송동)
3rd row부산광역시 해운대구 재반로 169, 1층 (재송동)
4th row부산광역시 해운대구 구남로29번길 9 (중동)
5th row부산광역시 해운대구 해운대로 133 (재송동)
ValueCountFrequency (%)
부산광역시 165
 
16.2%
해운대구 165
 
16.2%
좌동 38
 
3.7%
우동 36
 
3.5%
반여동 29
 
2.8%
재송동 24
 
2.4%
1층 21
 
2.1%
반송동 20
 
2.0%
해운대로 20
 
2.0%
재반로 19
 
1.9%
Other values (298) 482
47.3%
2023-12-11T01:51:24.304826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
854
 
15.8%
1 231
 
4.3%
217
 
4.0%
213
 
3.9%
206
 
3.8%
206
 
3.8%
175
 
3.2%
172
 
3.2%
172
 
3.2%
169
 
3.1%
Other values (168) 2796
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3246
60.0%
Space Separator 854
 
15.8%
Decimal Number 792
 
14.6%
Close Punctuation 165
 
3.0%
Open Punctuation 165
 
3.0%
Other Punctuation 163
 
3.0%
Dash Punctuation 18
 
0.3%
Uppercase Letter 5
 
0.1%
Lowercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
217
 
6.7%
213
 
6.6%
206
 
6.3%
206
 
6.3%
175
 
5.4%
172
 
5.3%
172
 
5.3%
169
 
5.2%
166
 
5.1%
165
 
5.1%
Other values (146) 1385
42.7%
Decimal Number
ValueCountFrequency (%)
1 231
29.2%
2 109
13.8%
0 107
13.5%
3 68
 
8.6%
4 60
 
7.6%
6 54
 
6.8%
7 44
 
5.6%
9 44
 
5.6%
5 42
 
5.3%
8 33
 
4.2%
Uppercase Letter
ValueCountFrequency (%)
B 2
40.0%
I 1
20.0%
S 1
20.0%
F 1
20.0%
Lowercase Letter
ValueCountFrequency (%)
s 1
50.0%
i 1
50.0%
Space Separator
ValueCountFrequency (%)
854
100.0%
Close Punctuation
ValueCountFrequency (%)
) 165
100.0%
Open Punctuation
ValueCountFrequency (%)
( 165
100.0%
Other Punctuation
ValueCountFrequency (%)
, 163
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 18
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3246
60.0%
Common 2158
39.9%
Latin 7
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
217
 
6.7%
213
 
6.6%
206
 
6.3%
206
 
6.3%
175
 
5.4%
172
 
5.3%
172
 
5.3%
169
 
5.2%
166
 
5.1%
165
 
5.1%
Other values (146) 1385
42.7%
Common
ValueCountFrequency (%)
854
39.6%
1 231
 
10.7%
) 165
 
7.6%
( 165
 
7.6%
, 163
 
7.6%
2 109
 
5.1%
0 107
 
5.0%
3 68
 
3.2%
4 60
 
2.8%
6 54
 
2.5%
Other values (6) 182
 
8.4%
Latin
ValueCountFrequency (%)
B 2
28.6%
I 1
14.3%
S 1
14.3%
s 1
14.3%
i 1
14.3%
F 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3246
60.0%
ASCII 2165
40.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
854
39.4%
1 231
 
10.7%
) 165
 
7.6%
( 165
 
7.6%
, 163
 
7.5%
2 109
 
5.0%
0 107
 
4.9%
3 68
 
3.1%
4 60
 
2.8%
6 54
 
2.5%
Other values (12) 189
 
8.7%
Hangul
ValueCountFrequency (%)
217
 
6.7%
213
 
6.6%
206
 
6.3%
206
 
6.3%
175
 
5.4%
172
 
5.3%
172
 
5.3%
169
 
5.2%
166
 
5.1%
165
 
5.1%
Other values (146) 1385
42.7%

전화번호
Text

MISSING 

Distinct155
Distinct (%)96.9%
Missing5
Missing (%)3.0%
Memory size1.4 KiB
2023-12-11T01:51:24.720115image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length12
Mean length12
Min length12

Characters and Unicode

Total characters1920
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

Unique151 ?
Unique (%)94.4%

Sample

1st row051-710-6669
2nd row051-784-7552
3rd row051-744-5999
4th row051-784-8999
5th row051-746-8831
ValueCountFrequency (%)
051-744-7275 3
 
1.9%
051-701-8608 2
 
1.2%
051-529-7515 2
 
1.2%
051-744-5501 2
 
1.2%
051-744-2028 1
 
0.6%
051-742-8804 1
 
0.6%
051-542-8290 1
 
0.6%
051-744-4855 1
 
0.6%
051-784-1933 1
 
0.6%
051-703-0801 1
 
0.6%
Other values (145) 145
90.6%
2023-12-11T01:51:25.370878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 320
16.7%
0 297
15.5%
5 278
14.5%
1 261
13.6%
7 182
9.5%
4 163
8.5%
8 101
 
5.3%
2 99
 
5.2%
3 79
 
4.1%
6 73
 
3.8%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1600
83.3%
Dash Punctuation 320
 
16.7%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 297
18.6%
5 278
17.4%
1 261
16.3%
7 182
11.4%
4 163
10.2%
8 101
 
6.3%
2 99
 
6.2%
3 79
 
4.9%
6 73
 
4.6%
9 67
 
4.2%
Dash Punctuation
ValueCountFrequency (%)
- 320
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1920
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 320
16.7%
0 297
15.5%
5 278
14.5%
1 261
13.6%
7 182
9.5%
4 163
8.5%
8 101
 
5.3%
2 99
 
5.2%
3 79
 
4.1%
6 73
 
3.8%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1920
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 320
16.7%
0 297
15.5%
5 278
14.5%
1 261
13.6%
7 182
9.5%
4 163
8.5%
8 101
 
5.3%
2 99
 
5.2%
3 79
 
4.1%
6 73
 
3.8%

Interactions

2023-12-11T01:51:20.756852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-11T01:51:20.961525image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:51:21.116066image/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

순번약국명칭소재지(도로명)전화번호
01장산3층약국부산광역시 해운대구 세실로 64, 303호 (좌동, 화목데파트)<NA>
12정문약국부산광역시 해운대구 신반송로 180, 1층 (반송동)051-710-6669
23동산약국부산광역시 해운대구 재반로 169, 1층 (재송동)051-784-7552
34더좋은약사와약국부산광역시 해운대구 구남로29번길 9 (중동)051-744-5999
45소나무약국부산광역시 해운대구 해운대로 133 (재송동)051-784-8999
56해운메디약국부산광역시 해운대구 해운대로 602, 102호 (우동)051-746-8831
67하늘온누리약국부산광역시 해운대구 재반로 221-1, 1층 (반여동)051-912-4242
78새열린약국부산광역시 해운대구 좌동순환로 275, 상가동 106호 (좌동, 대우2차아파트)051-704-7533
89메이플약국부산광역시 해운대구 해운대로 814, 세종월드프라자 B동 428호 (좌동)051-703-2684
910화인약국부산광역시 해운대구 해운대로 802, 웅신시네아트 415호 (좌동)<NA>
순번약국명칭소재지(도로명)전화번호
155156송정약국부산광역시 해운대구 송정중앙로 29, 뉴송정하우스 1층 (송정동)051-703-4356
156157성심약국부산광역시 해운대구 우동1로20번길 63 (우동)051-743-3158
157158친절한약국부산광역시 해운대구 아랫반송로 57 (반송동)051-544-8063
158159영진약국부산광역시 해운대구 윗반송로51번길 112 (반송동)051-542-4401
159160성심약국부산광역시 해운대구 반송로924번길 14 (반송동)051-542-9000
160161유민약국부산광역시 해운대구 윗반송로51번길 178 (반송동)051-542-8290
161162대우약국부산광역시 해운대구 선수촌로165번길 7 (반여동)051-523-0634
162163동신약국부산광역시 해운대구 중동1로 16 (우동)051-746-2782
163164수도약국부산광역시 해운대구 우동2로 58 (우동)051-742-3646
164165효원약국부산광역시 해운대구 재반로256번길 15 (반여동)051-783-1180