Overview

Dataset statistics

Number of variables4
Number of observations262
Missing cells121
Missing cells (%)11.5%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.6 KiB
Average record size in memory33.5 B

Variable types

Numeric1
Text3

Dataset

Description부산광역시해운대구_안전상비의약품판매업현황_20200914
Author부산광역시 해운대구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3075597

Alerts

전화번호 has 121 (46.2%) missing valuesMissing
순번 has unique valuesUnique
판매점포명 has unique valuesUnique
소재지(도로명) has unique valuesUnique

Reproduction

Analysis started2023-12-10 17:00:36.117928
Analysis finished2023-12-10 17:00:36.984689
Duration0.87 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct262
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean131.5
Minimum1
Maximum262
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.4 KiB
2023-12-11T02:00:37.121715image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile14.05
Q166.25
median131.5
Q3196.75
95-th percentile248.95
Maximum262
Range261
Interquartile range (IQR)130.5

Descriptive statistics

Standard deviation75.777085
Coefficient of variation (CV)0.5762516
Kurtosis-1.2
Mean131.5
Median Absolute Deviation (MAD)65.5
Skewness0
Sum34453
Variance5742.1667
MonotonicityStrictly increasing
2023-12-11T02:00:37.370602image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.4%
166 1
 
0.4%
168 1
 
0.4%
169 1
 
0.4%
170 1
 
0.4%
171 1
 
0.4%
172 1
 
0.4%
173 1
 
0.4%
174 1
 
0.4%
175 1
 
0.4%
Other values (252) 252
96.2%
ValueCountFrequency (%)
1 1
0.4%
2 1
0.4%
3 1
0.4%
4 1
0.4%
5 1
0.4%
6 1
0.4%
7 1
0.4%
8 1
0.4%
9 1
0.4%
10 1
0.4%
ValueCountFrequency (%)
262 1
0.4%
261 1
0.4%
260 1
0.4%
259 1
0.4%
258 1
0.4%
257 1
0.4%
256 1
0.4%
255 1
0.4%
254 1
0.4%
253 1
0.4%

판매점포명
Text

UNIQUE 

Distinct262
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-11T02:00:37.773127image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length10.881679
Min length6

Characters and Unicode

Total characters2851
Distinct characters240
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique262 ?
Unique (%)100.0%

Sample

1st rowGS25 센텀이지비아점
2nd rowGS25 재송시영점
3rd rowCU 반여에덴점
4th row지에스(GS)25센텀리슈빌점
5th row(주)비지에프휴먼넷 씨유해운대구남로점
ValueCountFrequency (%)
씨유 62
 
12.9%
gs25 54
 
11.2%
세븐일레븐 27
 
5.6%
주)코리아세븐 20
 
4.2%
cu 11
 
2.3%
지에스(gs)25 10
 
2.1%
미니스톱 10
 
2.1%
이마트24 7
 
1.5%
지에스25 6
 
1.2%
반여점 4
 
0.8%
Other values (262) 270
56.1%
2023-12-11T02:00:38.458434image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 242
 
8.5%
219
 
7.7%
2 96
 
3.4%
븐 84
 
2.9%
해 84
 
2.9%
5 82
 
2.9%
씨 82
 
2.9%
S 79
 
2.8%
운 79
 
2.8%
유 79
 
2.8%
Other values (230) 1725
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2175
76.3%
Space Separator 219
 
7.7%
Uppercase Letter 192
 
6.7%
Decimal Number 189
 
6.6%
Close Punctuation 38
 
1.3%
Open Punctuation 38
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 242
 
11.1%
븐 84
 
3.9%
해 84
 
3.9%
씨 82
 
3.8%
운 79
 
3.6%
유 79
 
3.6%
대 69
 
3.2%
스 59
 
2.7%
세 53
 
2.4%
산 50
 
2.3%
Other values (213) 1294
59.5%
Uppercase Letter
ValueCountFrequency (%)
S 79
41.1%
G 75
39.1%
U 16
 
8.3%
C 16
 
8.3%
K 2
 
1.0%
W 1
 
0.5%
I 1
 
0.5%
H 1
 
0.5%
R 1
 
0.5%
Decimal Number
ValueCountFrequency (%)
2 96
50.8%
5 82
43.4%
4 9
 
4.8%
9 1
 
0.5%
1 1
 
0.5%
Space Separator
ValueCountFrequency (%)
219
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2175
76.3%
Common 484
 
17.0%
Latin 192
 
6.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 242
 
11.1%
븐 84
 
3.9%
해 84
 
3.9%
씨 82
 
3.8%
운 79
 
3.6%
유 79
 
3.6%
대 69
 
3.2%
스 59
 
2.7%
세 53
 
2.4%
산 50
 
2.3%
Other values (213) 1294
59.5%
Latin
ValueCountFrequency (%)
S 79
41.1%
G 75
39.1%
U 16
 
8.3%
C 16
 
8.3%
K 2
 
1.0%
W 1
 
0.5%
I 1
 
0.5%
H 1
 
0.5%
R 1
 
0.5%
Common
ValueCountFrequency (%)
219
45.2%
2 96
19.8%
5 82
 
16.9%
) 38
 
7.9%
( 38
 
7.9%
4 9
 
1.9%
9 1
 
0.2%
1 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2175
76.3%
ASCII 676
 
23.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 242
 
11.1%
븐 84
 
3.9%
해 84
 
3.9%
씨 82
 
3.8%
운 79
 
3.6%
유 79
 
3.6%
대 69
 
3.2%
스 59
 
2.7%
세 53
 
2.4%
산 50
 
2.3%
Other values (213) 1294
59.5%
ASCII
ValueCountFrequency (%)
219
32.4%
2 96
14.2%
5 82
 
12.1%
S 79
 
11.7%
G 75
 
11.1%
) 38
 
5.6%
( 38
 
5.6%
U 16
 
2.4%
C 16
 
2.4%
4 9
 
1.3%
Other values (7) 8
 
1.2%

소재지(도로명)
Text

UNIQUE 

Distinct262
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-11T02:00:39.043174image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length44
Mean length35.59542
Min length22

Characters and Unicode

Total characters9326
Distinct characters241
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

Unique262 ?
Unique (%)100.0%

Sample

1st row부산광역시 해운대구 해운대로394번길 17, 해운대센텀 미진이지비아 아파트 105동 101호 (우동)
2nd row부산광역시 해운대구 재송1로 57, 1층 (재송동)
3rd row부산광역시 해운대구 재반로212번길 5, 가나아카데미 1층 (반여동)
4th row부산광역시 해운대구 해운대로76번길 40, 상가1호 (재송동, 센텀리슈빌)
5th row부산광역시 해운대구 구남로 31 (중동)
ValueCountFrequency (%)
부산광역시 262
 
15.7%
해운대구 262
 
15.7%
우동 69
 
4.1%
좌동 50
 
3.0%
중동 50
 
3.0%
반여동 34
 
2.0%
재송동 30
 
1.8%
1층 29
 
1.7%
101호 27
 
1.6%
해운대로 19
 
1.1%
Other values (494) 839
50.2%
2023-12-11T02:00:39.796155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1409
 
15.1%
1 484
 
5.2%
해 381
 
4.1%
대 378
 
4.1%
운 375
 
4.0%
동 342
 
3.7%
, 293
 
3.1%
시 289
 
3.1%
산 276
 
3.0%
구 274
 
2.9%
Other values (231) 4825
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5512
59.1%
Decimal Number 1524
 
16.3%
Space Separator 1409
 
15.1%
Other Punctuation 293
 
3.1%
Close Punctuation 262
 
2.8%
Open Punctuation 262
 
2.8%
Dash Punctuation 42
 
0.5%
Math Symbol 12
 
0.1%
Uppercase Letter 10
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
해 381
 
6.9%
대 378
 
6.9%
운 375
 
6.8%
동 342
 
6.2%
시 289
 
5.2%
산 276
 
5.0%
구 274
 
5.0%
광 266
 
4.8%
부 263
 
4.8%
역 262
 
4.8%
Other values (208) 2406
43.7%
Decimal Number
ValueCountFrequency (%)
1 484
31.8%
0 213
14.0%
2 213
14.0%
3 125
 
8.2%
4 98
 
6.4%
7 89
 
5.8%
5 83
 
5.4%
6 76
 
5.0%
8 76
 
5.0%
9 67
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
C 3
30.0%
E 2
20.0%
P 1
 
10.0%
A 1
 
10.0%
H 1
 
10.0%
S 1
 
10.0%
B 1
 
10.0%
Space Separator
ValueCountFrequency (%)
1409
100.0%
Other Punctuation
ValueCountFrequency (%)
, 293
100.0%
Close Punctuation
ValueCountFrequency (%)
) 262
100.0%
Open Punctuation
ValueCountFrequency (%)
( 262
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 42
100.0%
Math Symbol
ValueCountFrequency (%)
~ 12
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5512
59.1%
Common 3804
40.8%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
해 381
 
6.9%
대 378
 
6.9%
운 375
 
6.8%
동 342
 
6.2%
시 289
 
5.2%
산 276
 
5.0%
구 274
 
5.0%
광 266
 
4.8%
부 263
 
4.8%
역 262
 
4.8%
Other values (208) 2406
43.7%
Common
ValueCountFrequency (%)
1409
37.0%
1 484
 
12.7%
, 293
 
7.7%
) 262
 
6.9%
( 262
 
6.9%
0 213
 
5.6%
2 213
 
5.6%
3 125
 
3.3%
4 98
 
2.6%
7 89
 
2.3%
Other values (6) 356
 
9.4%
Latin
ValueCountFrequency (%)
C 3
30.0%
E 2
20.0%
P 1
 
10.0%
A 1
 
10.0%
H 1
 
10.0%
S 1
 
10.0%
B 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5512
59.1%
ASCII 3814
40.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1409
36.9%
1 484
 
12.7%
, 293
 
7.7%
) 262
 
6.9%
( 262
 
6.9%
0 213
 
5.6%
2 213
 
5.6%
3 125
 
3.3%
4 98
 
2.6%
7 89
 
2.3%
Other values (13) 366
 
9.6%
Hangul
ValueCountFrequency (%)
해 381
 
6.9%
대 378
 
6.9%
운 375
 
6.8%
동 342
 
6.2%
시 289
 
5.2%
산 276
 
5.0%
구 274
 
5.0%
광 266
 
4.8%
부 263
 
4.8%
역 262
 
4.8%
Other values (208) 2406
43.7%

전화번호
Text

MISSING 

Distinct141
Distinct (%)100.0%
Missing121
Missing (%)46.2%
Memory size2.2 KiB
2023-12-11T02:00:40.291360image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length11.978723
Min length8

Characters and Unicode

Total characters1689
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

Unique141 ?
Unique (%)100.0%

Sample

1st row051-741-5553
2nd row051-743-6509
3rd row051-742-6811
4th row051-702-9927
5th row051-704-0867
ValueCountFrequency (%)
051-744-3545 1
 
0.7%
051-522-3559 1
 
0.7%
051-731-4914 1
 
0.7%
051-742-8872 1
 
0.7%
051-746-2921 1
 
0.7%
051-701-3312 1
 
0.7%
051-742-9337 1
 
0.7%
051-702-3111 1
 
0.7%
051-746-8851 1
 
0.7%
051-526-6559 1
 
0.7%
Other values (131) 131
92.9%
2023-12-11T02:00:41.194861image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 281
16.6%
1 249
14.7%
0 229
13.6%
5 226
13.4%
7 190
11.2%
4 128
7.6%
3 100
 
5.9%
2 86
 
5.1%
6 79
 
4.7%
8 69
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1408
83.4%
Dash Punctuation 281
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 249
17.7%
0 229
16.3%
5 226
16.1%
7 190
13.5%
4 128
9.1%
3 100
7.1%
2 86
 
6.1%
6 79
 
5.6%
8 69
 
4.9%
9 52
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 281
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1689
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 281
16.6%
1 249
14.7%
0 229
13.6%
5 226
13.4%
7 190
11.2%
4 128
7.6%
3 100
 
5.9%
2 86
 
5.1%
6 79
 
4.7%
8 69
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1689
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 281
16.6%
1 249
14.7%
0 229
13.6%
5 226
13.4%
7 190
11.2%
4 128
7.6%
3 100
 
5.9%
2 86
 
5.1%
6 79
 
4.7%
8 69
 
4.1%

Interactions

2023-12-11T02:00:36.578483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-11T02:00:36.790323image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:00:36.933938image/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

순번판매점포명소재지(도로명)전화번호
01GS25 센텀이지비아점부산광역시 해운대구 해운대로394번길 17, 해운대센텀 미진이지비아 아파트 105동 101호 (우동)<NA>
12GS25 재송시영점부산광역시 해운대구 재송1로 57, 1층 (재송동)<NA>
23CU 반여에덴점부산광역시 해운대구 재반로212번길 5, 가나아카데미 1층 (반여동)<NA>
34지에스(GS)25센텀리슈빌점부산광역시 해운대구 해운대로76번길 40, 상가1호 (재송동, 센텀리슈빌)<NA>
45(주)비지에프휴먼넷 씨유해운대구남로점부산광역시 해운대구 구남로 31 (중동)<NA>
56씨유반여센텀스마트점부산광역시 해운대구 반여로155번길 35-55, 1층 101,102호 (반여동)<NA>
67씨유해운대중동동일점부산광역시 해운대구 해운대해변로 394, 상가동 101호 (중동, 동일아파트)<NA>
78씨유해운대미포점부산광역시 해운대구 달맞이길62번길 28, 미포오션사이드호텔 (중동)<NA>
89세븐일레븐 부산해운대미포점부산광역시 해운대구 달맞이길62번길 23 (중동)<NA>
910세븐일레븐부산해운대해피점부산광역시 해운대구 해운대로 602, 101호 (우동)<NA>
순번판매점포명소재지(도로명)전화번호
252253GS25 해운제이드부산광역시 해운대구 해운대해변로197번길 18 (우동)051-746-0316
253254GS25 해운온천점부산광역시 해운대구 중동2로 12 (중동)051-746-6925
254255GS2 문탠로드점부산광역시 해운대구 달맞이길62번길 2 (중동)051-746-2554
255256GS25 해운오션점부산광역시 해운대구 해운대해변로209번길 8-3 (우동)051-747-3362
256257세븐일레븐 재송센트럴시티점부산광역시 해운대구 재반로 118, 102호 (재송동)070-4412-8987
257258세븐일레븐 부산재송제일점부산광역시 해운대구 재반로 123 (재송동)<NA>
258259세븐일레븐 재송중앙점부산광역시 해운대구 재송1로 34 (재송동)051-784-2283
259260씨유 쌍용투윈점부산광역시 해운대구 양운로 88, 102동 101호 (좌동, 쌍용투윈오피스텔)051-704-0496
260261GS25 해운제니스점부산광역시 해운대구 마린시티2로 33, 104동 121호 (우동, 두산제니스스퀘어)051-746-1496
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