Overview

Dataset statistics

Number of variables4
Number of observations178
Missing cells5
Missing cells (%)0.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.9 KiB
Average record size in memory33.7 B

Variable types

Numeric1
Text3

Dataset

Description해운대구 약국 현황 해운대구 관내 약국 현황에 대한 데이터로 약국명, 약국 전화번호, 약국 주소 등의 정보를 제공합니다.
URLhttps://www.data.go.kr/data/3075588/fileData.do

Alerts

약국전화번호 has 5 (2.8%) missing valuesMissing
순번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 19:46:19.672598
Analysis finished2023-12-12 19:46:20.374526
Duration0.7 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct178
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean89.5
Minimum1
Maximum178
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.7 KiB
2023-12-13T04:46:20.489451image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile9.85
Q145.25
median89.5
Q3133.75
95-th percentile169.15
Maximum178
Range177
Interquartile range (IQR)88.5

Descriptive statistics

Standard deviation51.528309
Coefficient of variation (CV)0.5757353
Kurtosis-1.2
Mean89.5
Median Absolute Deviation (MAD)44.5
Skewness0
Sum15931
Variance2655.1667
MonotonicityStrictly increasing
2023-12-13T04:46:20.712027image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.6%
135 1
 
0.6%
115 1
 
0.6%
116 1
 
0.6%
117 1
 
0.6%
118 1
 
0.6%
119 1
 
0.6%
120 1
 
0.6%
121 1
 
0.6%
122 1
 
0.6%
Other values (168) 168
94.4%
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 (%)
178 1
0.6%
177 1
0.6%
176 1
0.6%
175 1
0.6%
174 1
0.6%
173 1
0.6%
172 1
0.6%
171 1
0.6%
170 1
0.6%
169 1
0.6%

약국명칭
Text

Distinct169
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-13T04:46:21.146921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length8
Mean length4.8764045
Min length3

Characters and Unicode

Total characters868
Distinct characters183
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

Unique160 ?
Unique (%)89.9%

Sample

1st row내몸에좋은약국
2nd row마음약국
3rd row맑은약국
4th row하이브약국
5th row대우메디팜약국
ValueCountFrequency (%)
럭키약국 2
 
1.1%
화목2층약국 2
 
1.1%
행복한약국 2
 
1.1%
미술관옆약국 2
 
1.1%
초록약국 2
 
1.1%
성심약국 2
 
1.1%
참사랑약국 2
 
1.1%
하나약국 2
 
1.1%
장산약국 2
 
1.1%
해운대이팜약국 1
 
0.6%
Other values (162) 162
89.5%
2023-12-13T04:46:21.699997image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
약 180
20.7%
국 179
20.6%
리 17
 
2.0%
센 14
 
1.6%
텀 13
 
1.5%
온 12
 
1.4%
누 10
 
1.2%
동 10
 
1.2%
인 10
 
1.2%
은 9
 
1.0%
Other values (173) 414
47.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 861
99.2%
Decimal Number 4
 
0.5%
Space Separator 3
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
약 180
20.9%
국 179
20.8%
리 17
 
2.0%
센 14
 
1.6%
텀 13
 
1.5%
온 12
 
1.4%
누 10
 
1.2%
동 10
 
1.2%
인 10
 
1.2%
은 9
 
1.0%
Other values (169) 407
47.3%
Decimal Number
ValueCountFrequency (%)
2 2
50.0%
1 1
25.0%
3 1
25.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 861
99.2%
Common 7
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
약 180
20.9%
국 179
20.8%
리 17
 
2.0%
센 14
 
1.6%
텀 13
 
1.5%
온 12
 
1.4%
누 10
 
1.2%
동 10
 
1.2%
인 10
 
1.2%
은 9
 
1.0%
Other values (169) 407
47.3%
Common
ValueCountFrequency (%)
3
42.9%
2 2
28.6%
1 1
 
14.3%
3 1
 
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 861
99.2%
ASCII 7
 
0.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
약 180
20.9%
국 179
20.8%
리 17
 
2.0%
센 14
 
1.6%
텀 13
 
1.5%
온 12
 
1.4%
누 10
 
1.2%
동 10
 
1.2%
인 10
 
1.2%
은 9
 
1.0%
Other values (169) 407
47.3%
ASCII
ValueCountFrequency (%)
3
42.9%
2 2
28.6%
1 1
 
14.3%
3 1
 
14.3%

약국전화번호
Text

MISSING 

Distinct168
Distinct (%)97.1%
Missing5
Missing (%)2.8%
Memory size1.5 KiB
2023-12-13T04:46:22.047172image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.456647
Min length8

Characters and Unicode

Total characters1982
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

Unique163 ?
Unique (%)94.2%

Sample

1st row051-784-7833
2nd row051-782-3355
3rd row051-702-5147
4th row051-747-1055
5th row051-545-3146
ValueCountFrequency (%)
051-784-4806 2
 
1.2%
529-7515 2
 
1.2%
051-744-5501 2
 
1.2%
051-701-8608 2
 
1.2%
051-744-7275 2
 
1.2%
702-3545 1
 
0.6%
701-9897 1
 
0.6%
051-703-3744 1
 
0.6%
051-784-7833 1
 
0.6%
744-4855 1
 
0.6%
Other values (158) 158
91.3%
2023-12-13T04:46:22.564641image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 322
16.2%
0 298
15.0%
5 279
14.1%
1 262
13.2%
7 198
10.0%
4 170
8.6%
8 109
 
5.5%
2 103
 
5.2%
3 90
 
4.5%
6 77
 
3.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1660
83.8%
Dash Punctuation 322
 
16.2%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 298
18.0%
5 279
16.8%
1 262
15.8%
7 198
11.9%
4 170
10.2%
8 109
 
6.6%
2 103
 
6.2%
3 90
 
5.4%
6 77
 
4.6%
9 74
 
4.5%
Dash Punctuation
ValueCountFrequency (%)
- 322
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1982
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 322
16.2%
0 298
15.0%
5 279
14.1%
1 262
13.2%
7 198
10.0%
4 170
8.6%
8 109
 
5.5%
2 103
 
5.2%
3 90
 
4.5%
6 77
 
3.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1982
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 322
16.2%
0 298
15.0%
5 279
14.1%
1 262
13.2%
7 198
10.0%
4 170
8.6%
8 109
 
5.5%
2 103
 
5.2%
3 90
 
4.5%
6 77
 
3.9%

약국소재지(도로명)
Text

Distinct174
Distinct (%)97.8%
Missing0
Missing (%)0.0%
Memory size1.5 KiB
2023-12-13T04:46:22.846029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length52
Median length41
Mean length33.106742
Min length21

Characters and Unicode

Total characters5893
Distinct characters200
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

Unique170 ?
Unique (%)95.5%

Sample

1st row부산광역시 해운대구 재반로 176, 102호 (재송동)
2nd row부산광역시 해운대구 해운대로76번길 65, 1층 (재송동)
3rd row부산광역시 해운대구 해운대로 802, 웅신시네아트 B동 2층 202-1호 (좌동)
4th row부산광역시 해운대구 해운대로 650, 상가동 110호 (우동)
5th row부산광역시 해운대구 아랫반송로 38-1, 대우약국 (반송동)
ValueCountFrequency (%)
부산광역시 178
 
16.0%
해운대구 178
 
16.0%
좌동 39
 
3.5%
우동 38
 
3.4%
반여동 32
 
2.9%
1층 28
 
2.5%
재송동 26
 
2.3%
해운대로 22
 
2.0%
반송동 21
 
1.9%
재반로 21
 
1.9%
Other values (325) 528
47.5%
2023-12-13T04:46:23.346653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
933
 
15.8%
1 253
 
4.3%
동 234
 
4.0%
대 230
 
3.9%
해 222
 
3.8%
운 222
 
3.8%
시 188
 
3.2%
구 185
 
3.1%
산 185
 
3.1%
부 183
 
3.1%
Other values (190) 3058
51.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3516
59.7%
Space Separator 933
 
15.8%
Decimal Number 867
 
14.7%
Open Punctuation 178
 
3.0%
Other Punctuation 178
 
3.0%
Close Punctuation 178
 
3.0%
Dash Punctuation 25
 
0.4%
Uppercase Letter 15
 
0.3%
Lowercase Letter 2
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 234
 
6.7%
대 230
 
6.5%
해 222
 
6.3%
운 222
 
6.3%
시 188
 
5.3%
구 185
 
5.3%
산 185
 
5.3%
부 183
 
5.2%
광 180
 
5.1%
역 178
 
5.1%
Other values (160) 1509
42.9%
Uppercase Letter
ValueCountFrequency (%)
E 3
20.0%
B 2
13.3%
R 1
 
6.7%
L 1
 
6.7%
T 1
 
6.7%
W 1
 
6.7%
I 1
 
6.7%
O 1
 
6.7%
S 1
 
6.7%
C 1
 
6.7%
Other values (2) 2
13.3%
Decimal Number
ValueCountFrequency (%)
1 253
29.2%
2 120
13.8%
0 120
13.8%
3 70
 
8.1%
4 69
 
8.0%
6 57
 
6.6%
5 49
 
5.7%
9 48
 
5.5%
7 45
 
5.2%
8 36
 
4.2%
Lowercase Letter
ValueCountFrequency (%)
s 1
50.0%
i 1
50.0%
Space Separator
ValueCountFrequency (%)
933
100.0%
Open Punctuation
ValueCountFrequency (%)
( 178
100.0%
Other Punctuation
ValueCountFrequency (%)
, 178
100.0%
Close Punctuation
ValueCountFrequency (%)
) 178
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 25
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3516
59.7%
Common 2360
40.0%
Latin 17
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 234
 
6.7%
대 230
 
6.5%
해 222
 
6.3%
운 222
 
6.3%
시 188
 
5.3%
구 185
 
5.3%
산 185
 
5.3%
부 183
 
5.2%
광 180
 
5.1%
역 178
 
5.1%
Other values (160) 1509
42.9%
Common
ValueCountFrequency (%)
933
39.5%
1 253
 
10.7%
( 178
 
7.5%
, 178
 
7.5%
) 178
 
7.5%
2 120
 
5.1%
0 120
 
5.1%
3 70
 
3.0%
4 69
 
2.9%
6 57
 
2.4%
Other values (6) 204
 
8.6%
Latin
ValueCountFrequency (%)
E 3
17.6%
B 2
11.8%
R 1
 
5.9%
L 1
 
5.9%
T 1
 
5.9%
W 1
 
5.9%
I 1
 
5.9%
O 1
 
5.9%
S 1
 
5.9%
s 1
 
5.9%
Other values (4) 4
23.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3516
59.7%
ASCII 2377
40.3%

Most frequent character per block

ASCII
ValueCountFrequency (%)
933
39.3%
1 253
 
10.6%
( 178
 
7.5%
, 178
 
7.5%
) 178
 
7.5%
2 120
 
5.0%
0 120
 
5.0%
3 70
 
2.9%
4 69
 
2.9%
6 57
 
2.4%
Other values (20) 221
 
9.3%
Hangul
ValueCountFrequency (%)
동 234
 
6.7%
대 230
 
6.5%
해 222
 
6.3%
운 222
 
6.3%
시 188
 
5.3%
구 185
 
5.3%
산 185
 
5.3%
부 183
 
5.2%
광 180
 
5.1%
역 178
 
5.1%
Other values (160) 1509
42.9%

Interactions

2023-12-13T04:46:19.981328image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-13T04:46:20.177011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T04:46:20.306479image/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)
01내몸에좋은약국051-784-7833부산광역시 해운대구 재반로 176, 102호 (재송동)
12마음약국051-782-3355부산광역시 해운대구 해운대로76번길 65, 1층 (재송동)
23맑은약국051-702-5147부산광역시 해운대구 해운대로 802, 웅신시네아트 B동 2층 202-1호 (좌동)
34하이브약국051-747-1055부산광역시 해운대구 해운대로 650, 상가동 110호 (우동)
45대우메디팜약국051-545-3146부산광역시 해운대구 아랫반송로 38-1, 대우약국 (반송동)
56지리산약국051-784-1933부산광역시 해운대구 재반로 253-1, 문훈치과 1층 (반여동)
67안녕약국051-747-3034부산광역시 해운대구 해운대로 415, 1층 101호 (우동)
78센텀유로약국051-715-7771부산광역시 해운대구 APEC로 17, 센텀리더스마크 414호 (우동)
89공감약국051-731-1940부산광역시 해운대구 좌동순환로 6, L TOWER 1층 (중동)
910동백약국051-710-2366부산광역시 해운대구 해운대로 540, 101동 902호 (우동, 해운대 동백 두산위브더제니스)
순번약국명칭약국전화번호약국소재지(도로명)
168169송정약국051-703-4356부산광역시 해운대구 송정중앙로 29, 뉴송정하우스 1층 (송정동)
169170성심약국051-743-3158부산광역시 해운대구 우동1로20번길 63 (우동)
170171친절한약국051-544-8063부산광역시 해운대구 아랫반송로 25-1, 1층 (반송동)
171172영진약국051-542-4401부산광역시 해운대구 윗반송로51번길 112 (반송동)
172173성심약국051-542-9000부산광역시 해운대구 반송로924번길 14 (반송동)
173174유민약국051-542-8290부산광역시 해운대구 윗반송로51번길 178 (반송동)
174175대우약국051-523-0634부산광역시 해운대구 선수촌로165번길 7 (반여동)
175176동신약국051-746-2782부산광역시 해운대구 중동1로 16 (우동)
176177수도약국051-742-3646부산광역시 해운대구 우동2로 58 (우동)
177178효원약국051-783-1180부산광역시 해운대구 재반로256번길 15 (반여동)