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

Reproduction

Analysis started2023-12-10 17:00:30.929822
Analysis finished2023-12-10 17:00:31.588962
Duration0.66 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
2023-12-11T02:00:31.678124image/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
2023-12-11T02:00:31.880915image/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

Distinct261
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-11T02:00:32.237042image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length18
Mean length10.90458
Min length6

Characters and Unicode

Total characters2857
Distinct characters240
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique260 ?
Unique (%)99.2%

Sample

1st row세븐일레븐 재송중앙점
2nd row씨유 쌍용투윈점
3rd rowGS25 해운제니스점
4th rowGS25 트럼프월드점
5th row세븐일레븐 부산재송제일점
ValueCountFrequency (%)
씨유 64
 
13.3%
gs25 54
 
11.2%
세븐일레븐 27
 
5.6%
주)코리아세븐 20
 
4.1%
cu 12
 
2.5%
미니스톱 10
 
2.1%
지에스(gs)25 10
 
2.1%
이마트24 7
 
1.4%
지에스25 6
 
1.2%
반여점 3
 
0.6%
Other values (261) 270
55.9%
2023-12-11T02:00:32.750314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 244
 
8.5%
222
 
7.8%
2 95
 
3.3%
븐 84
 
2.9%
씨 84
 
2.9%
해 82
 
2.9%
유 81
 
2.8%
5 81
 
2.8%
S 79
 
2.8%
운 77
 
2.7%
Other values (230) 1728
60.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2179
76.3%
Space Separator 222
 
7.8%
Uppercase Letter 192
 
6.7%
Decimal Number 187
 
6.5%
Open Punctuation 38
 
1.3%
Close Punctuation 38
 
1.3%
Other Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 244
 
11.2%
븐 84
 
3.9%
씨 84
 
3.9%
해 82
 
3.8%
유 81
 
3.7%
운 77
 
3.5%
대 68
 
3.1%
스 58
 
2.7%
세 53
 
2.4%
송 50
 
2.3%
Other values (212) 1298
59.6%
Uppercase Letter
ValueCountFrequency (%)
S 79
41.1%
G 75
39.1%
C 16
 
8.3%
U 16
 
8.3%
K 2
 
1.0%
R 1
 
0.5%
H 1
 
0.5%
I 1
 
0.5%
W 1
 
0.5%
Decimal Number
ValueCountFrequency (%)
2 95
50.8%
5 81
43.3%
4 9
 
4.8%
1 1
 
0.5%
9 1
 
0.5%
Space Separator
ValueCountFrequency (%)
222
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2180
76.3%
Common 485
 
17.0%
Latin 192
 
6.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 244
 
11.2%
븐 84
 
3.9%
씨 84
 
3.9%
해 82
 
3.8%
유 81
 
3.7%
운 77
 
3.5%
대 68
 
3.1%
스 58
 
2.7%
세 53
 
2.4%
송 50
 
2.3%
Other values (213) 1299
59.6%
Latin
ValueCountFrequency (%)
S 79
41.1%
G 75
39.1%
C 16
 
8.3%
U 16
 
8.3%
K 2
 
1.0%
R 1
 
0.5%
H 1
 
0.5%
I 1
 
0.5%
W 1
 
0.5%
Common
ValueCountFrequency (%)
222
45.8%
2 95
19.6%
5 81
 
16.7%
( 38
 
7.8%
) 38
 
7.8%
4 9
 
1.9%
1 1
 
0.2%
9 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2179
76.3%
ASCII 677
 
23.7%
None 1
 
< 0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 244
 
11.2%
븐 84
 
3.9%
씨 84
 
3.9%
해 82
 
3.8%
유 81
 
3.7%
운 77
 
3.5%
대 68
 
3.1%
스 58
 
2.7%
세 53
 
2.4%
송 50
 
2.3%
Other values (212) 1298
59.6%
ASCII
ValueCountFrequency (%)
222
32.8%
2 95
14.0%
5 81
 
12.0%
S 79
 
11.7%
G 75
 
11.1%
( 38
 
5.6%
) 38
 
5.6%
C 16
 
2.4%
U 16
 
2.4%
4 9
 
1.3%
Other values (7) 8
 
1.2%
None
ValueCountFrequency (%)
㈜ 1
100.0%

소재지(도로명)
Text

Distinct261
Distinct (%)99.6%
Missing0
Missing (%)0.0%
Memory size2.2 KiB
2023-12-11T02:00:33.026851image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length56
Median length43
Mean length35.60687
Min length22

Characters and Unicode

Total characters9329
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

Unique260 ?
Unique (%)99.2%

Sample

1st row부산광역시 해운대구 재송1로 34 (재송동)
2nd row부산광역시 해운대구 양운로 88, 102동 101호 (좌동, 쌍용투윈오피스텔)
3rd row부산광역시 해운대구 마린시티2로 33, 104동 121호 (우동, 두산제니스스퀘어)
4th row부산광역시 해운대구 센텀동로 9, 106호 (우동)
5th row부산광역시 해운대구 재반로 123 (재송동)
ValueCountFrequency (%)
부산광역시 262
 
15.7%
해운대구 262
 
15.7%
우동 71
 
4.2%
좌동 50
 
3.0%
중동 47
 
2.8%
반여동 33
 
2.0%
1층 30
 
1.8%
재송동 30
 
1.8%
101호 27
 
1.6%
102호 19
 
1.1%
Other values (492) 841
50.3%
2023-12-11T02:00:33.769720image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1410
 
15.1%
1 490
 
5.3%
해 378
 
4.1%
대 376
 
4.0%
운 373
 
4.0%
동 344
 
3.7%
, 298
 
3.2%
시 289
 
3.1%
산 276
 
3.0%
구 273
 
2.9%
Other values (231) 4822
51.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5504
59.0%
Decimal Number 1529
 
16.4%
Space Separator 1410
 
15.1%
Other Punctuation 298
 
3.2%
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 378
 
6.9%
대 376
 
6.8%
운 373
 
6.8%
동 344
 
6.2%
시 289
 
5.3%
산 276
 
5.0%
구 273
 
5.0%
광 265
 
4.8%
부 262
 
4.8%
역 262
 
4.8%
Other values (208) 2406
43.7%
Decimal Number
ValueCountFrequency (%)
1 490
32.0%
0 214
14.0%
2 212
13.9%
3 126
 
8.2%
4 98
 
6.4%
7 88
 
5.8%
5 84
 
5.5%
6 76
 
5.0%
8 74
 
4.8%
9 67
 
4.4%
Uppercase Letter
ValueCountFrequency (%)
C 3
30.0%
E 2
20.0%
B 1
 
10.0%
H 1
 
10.0%
P 1
 
10.0%
A 1
 
10.0%
S 1
 
10.0%
Space Separator
ValueCountFrequency (%)
1410
100.0%
Other Punctuation
ValueCountFrequency (%)
, 298
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 5504
59.0%
Common 3815
40.9%
Latin 10
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
해 378
 
6.9%
대 376
 
6.8%
운 373
 
6.8%
동 344
 
6.2%
시 289
 
5.3%
산 276
 
5.0%
구 273
 
5.0%
광 265
 
4.8%
부 262
 
4.8%
역 262
 
4.8%
Other values (208) 2406
43.7%
Common
ValueCountFrequency (%)
1410
37.0%
1 490
 
12.8%
, 298
 
7.8%
) 262
 
6.9%
( 262
 
6.9%
0 214
 
5.6%
2 212
 
5.6%
3 126
 
3.3%
4 98
 
2.6%
7 88
 
2.3%
Other values (6) 355
 
9.3%
Latin
ValueCountFrequency (%)
C 3
30.0%
E 2
20.0%
B 1
 
10.0%
H 1
 
10.0%
P 1
 
10.0%
A 1
 
10.0%
S 1
 
10.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5504
59.0%
ASCII 3825
41.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1410
36.9%
1 490
 
12.8%
, 298
 
7.8%
) 262
 
6.8%
( 262
 
6.8%
0 214
 
5.6%
2 212
 
5.5%
3 126
 
3.3%
4 98
 
2.6%
7 88
 
2.3%
Other values (13) 365
 
9.5%
Hangul
ValueCountFrequency (%)
해 378
 
6.9%
대 376
 
6.8%
운 373
 
6.8%
동 344
 
6.2%
시 289
 
5.3%
산 276
 
5.0%
구 273
 
5.0%
광 265
 
4.8%
부 262
 
4.8%
역 262
 
4.8%
Other values (208) 2406
43.7%

전화번호
Text

MISSING 

Distinct140
Distinct (%)99.3%
Missing121
Missing (%)46.2%
Memory size2.2 KiB
2023-12-11T02:00:34.058791image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.014184
Min length12

Characters and Unicode

Total characters1694
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

Unique139 ?
Unique (%)98.6%

Sample

1st row051-784-2283
2nd row051-704-0496
3rd row051-746-1496
4th row051-741-3291
5th row070-4412-8987
ValueCountFrequency (%)
051-741-3291 2
 
1.4%
051-781-6502 1
 
0.7%
051-731-5889 1
 
0.7%
051-731-1130 1
 
0.7%
051-527-1777 1
 
0.7%
051-702-2886 1
 
0.7%
051-925-5965 1
 
0.7%
051-741-8338 1
 
0.7%
051-701-0442 1
 
0.7%
051-743-3370 1
 
0.7%
Other values (130) 130
92.2%
2023-12-11T02:00:34.479510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 282
16.6%
1 251
14.8%
0 227
13.4%
5 225
13.3%
7 186
11.0%
4 129
7.6%
3 104
 
6.1%
2 89
 
5.3%
6 80
 
4.7%
8 69
 
4.1%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1412
83.4%
Dash Punctuation 282
 
16.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 251
17.8%
0 227
16.1%
5 225
15.9%
7 186
13.2%
4 129
9.1%
3 104
7.4%
2 89
 
6.3%
6 80
 
5.7%
8 69
 
4.9%
9 52
 
3.7%
Dash Punctuation
ValueCountFrequency (%)
- 282
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 1694
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 282
16.6%
1 251
14.8%
0 227
13.4%
5 225
13.3%
7 186
11.0%
4 129
7.6%
3 104
 
6.1%
2 89
 
5.3%
6 80
 
4.7%
8 69
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
ASCII 1694
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 282
16.6%
1 251
14.8%
0 227
13.4%
5 225
13.3%
7 186
11.0%
4 129
7.6%
3 104
 
6.1%
2 89
 
5.3%
6 80
 
4.7%
8 69
 
4.1%

Interactions

2023-12-11T02:00:31.279413image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Missing values

2023-12-11T02:00:31.449060image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T02:00:31.551697image/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
01세븐일레븐 재송중앙점부산광역시 해운대구 재송1로 34 (재송동)051-784-2283
12씨유 쌍용투윈점부산광역시 해운대구 양운로 88, 102동 101호 (좌동, 쌍용투윈오피스텔)051-704-0496
23GS25 해운제니스점부산광역시 해운대구 마린시티2로 33, 104동 121호 (우동, 두산제니스스퀘어)051-746-1496
34GS25 트럼프월드점부산광역시 해운대구 센텀동로 9, 106호 (우동)051-741-3291
45세븐일레븐 부산재송제일점부산광역시 해운대구 재반로 123 (재송동)<NA>
56세븐일레븐 재송센트럴시티점부산광역시 해운대구 재반로 118, 102호 (재송동)070-4412-8987
67GS25 해운온천점부산광역시 해운대구 중동2로 12 (중동)051-746-6925
78GS2 문탠로드점부산광역시 해운대구 달맞이길62번길 2 (중동)051-746-2554
89GS25 해운오션점부산광역시 해운대구 해운대해변로209번길 8-3 (우동)051-747-3362
910씨유 센텀월드마크점부산광역시 해운대구 센텀동로 25, 131호 (우동, 센텀월드마크상가)<NA>
순번판매점포명소재지(도로명)전화번호
252253씨유반여드림점부산광역시 해운대구 선수촌로177번길 5, 1층(반여동)051-531-8332
253254CU 센텀하이테크점부산광역시 해운대구 센텀중앙로 48, 1층 107호 (우동, 에이스하이테크21)<NA>
254255㈜코리아세븐 센텀대림점부산광역시 해운대구 해운대로76번길 58, 1층 (재송동)<NA>
255256씨유 해운대달맞이점부산광역시 해운대구 달맞이길 117번길 59, 1층 (중동)<NA>
256257GS25 반송하늘점부산광역시 해운대구 아랫반송로29번길 92 (반송동)<NA>
257258GS25 부흥사거리점부산광역시 해운대구 좌동순환로237, 102호 (좌동, 세실빌딩)<NA>
258259씨유 해운대플러스점부산광역시 해운대구 해운대로 636, 1층 (우동)<NA>
259260CU 센텀롯데갤러리움점부산광역시 해운대구 센텀1로9, 114호 (우동)051-741-3338
260261씨유 해운대라뮤에뜨호텔점부산광역시 해운대구 해운대로 620, 125호 (우동, 해운대라뮤에뜨)051-731-1306
261262GS25 트럼프월드점부산광역시 해운대구 센텀동로 9, 106호 (우동)051-741-3291