Overview

Dataset statistics

Number of variables5
Number of observations353
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.9 KiB
Average record size in memory40.4 B

Variable types

Text4
DateTime1

Dataset

Description부안군 담배소매인 데이터를 지정번호, 업소명, 업소주소(도로명), 지정일자, 데이터 기준일자 등의 항목등으로 제공합니다.
URLhttps://www.data.go.kr/data/15064211/fileData.do

Alerts

데이터 기준일자 has constant value ""Constant
지정번호 has unique valuesUnique

Reproduction

Analysis started2023-12-11 23:23:38.244872
Analysis finished2023-12-11 23:23:38.673884
Duration0.43 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지정번호
Text

UNIQUE 

Distinct353
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-12T08:23:38.816615image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters8119
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

Unique353 ?
Unique (%)100.0%

Sample

1st row2023-4790104-05-6-00021
2nd row2023-4790104-05-6-00019
3rd row2023-4790104-05-6-00018
4th row2023-4790104-05-6-00017
5th row2023-4790104-05-6-00016
ValueCountFrequency (%)
2023-4790104-05-6-00021 1
 
0.3%
2010-4790068-05-6-00004 1
 
0.3%
2002-4790053-05-6-00925 1
 
0.3%
2002-4790053-05-6-00927 1
 
0.3%
2002-4790053-05-6-00931 1
 
0.3%
2002-4790053-05-6-00937 1
 
0.3%
2002-4790062-05-6-00001 1
 
0.3%
2002-4790062-05-6-00002 1
 
0.3%
2003-4790062-05-6-00008 1
 
0.3%
2003-4790062-05-6-00010 1
 
0.3%
Other values (343) 343
97.2%
2023-12-12T08:23:39.241114image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2517
31.0%
- 1412
17.4%
9 694
 
8.5%
5 595
 
7.3%
4 529
 
6.5%
7 510
 
6.3%
6 509
 
6.3%
2 489
 
6.0%
1 485
 
6.0%
3 223
 
2.7%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6707
82.6%
Dash Punctuation 1412
 
17.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2517
37.5%
9 694
 
10.3%
5 595
 
8.9%
4 529
 
7.9%
7 510
 
7.6%
6 509
 
7.6%
2 489
 
7.3%
1 485
 
7.2%
3 223
 
3.3%
8 156
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 1412
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8119
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2517
31.0%
- 1412
17.4%
9 694
 
8.5%
5 595
 
7.3%
4 529
 
6.5%
7 510
 
6.3%
6 509
 
6.3%
2 489
 
6.0%
1 485
 
6.0%
3 223
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8119
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2517
31.0%
- 1412
17.4%
9 694
 
8.5%
5 595
 
7.3%
4 529
 
6.5%
7 510
 
6.3%
6 509
 
6.3%
2 489
 
6.0%
1 485
 
6.0%
3 223
 
2.7%

업소명
Text

Distinct338
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-12T08:23:39.505762image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length6.1954674
Min length3

Characters and Unicode

Total characters2187
Distinct characters324
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique332 ?
Unique (%)94.1%

Sample

1st row부안건축자재철물백화점
2nd row부안관광호텔
3rd row펜션로또복권판매점
4th row광일철물
5th row세븐일레븐 부안터미널점
ValueCountFrequency (%)
세븐일레븐 19
 
4.3%
씨유 16
 
3.6%
상록슈퍼 8
 
1.8%
동양슈퍼 5
 
1.1%
줄포 3
 
0.7%
주식회사 3
 
0.7%
부안터미널점 3
 
0.7%
이마트24 3
 
0.7%
부안미소점 2
 
0.5%
cu 2
 
0.5%
Other values (363) 375
85.4%
2023-12-12T08:23:39.891305image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
86
 
3.9%
점 83
 
3.8%
부 79
 
3.6%
안 78
 
3.6%
퍼 62
 
2.8%
슈 57
 
2.6%
마 52
 
2.4%
상 49
 
2.2%
트 48
 
2.2%
유 41
 
1.9%
Other values (314) 1552
71.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1989
90.9%
Space Separator 86
 
3.9%
Decimal Number 49
 
2.2%
Uppercase Letter 28
 
1.3%
Close Punctuation 16
 
0.7%
Open Punctuation 16
 
0.7%
Other Punctuation 2
 
0.1%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 83
 
4.2%
부 79
 
4.0%
안 78
 
3.9%
퍼 62
 
3.1%
슈 57
 
2.9%
마 52
 
2.6%
상 49
 
2.5%
트 48
 
2.4%
유 41
 
2.1%
회 40
 
2.0%
Other values (292) 1400
70.4%
Uppercase Letter
ValueCountFrequency (%)
C 6
21.4%
S 6
21.4%
G 6
21.4%
U 3
10.7%
D 2
 
7.1%
R 2
 
7.1%
J 1
 
3.6%
V 1
 
3.6%
P 1
 
3.6%
Decimal Number
ValueCountFrequency (%)
2 18
36.7%
5 13
26.5%
4 5
 
10.2%
1 4
 
8.2%
3 3
 
6.1%
0 3
 
6.1%
6 2
 
4.1%
7 1
 
2.0%
Space Separator
ValueCountFrequency (%)
86
100.0%
Close Punctuation
ValueCountFrequency (%)
) 16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 16
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1989
90.9%
Common 170
 
7.8%
Latin 28
 
1.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 83
 
4.2%
부 79
 
4.0%
안 78
 
3.9%
퍼 62
 
3.1%
슈 57
 
2.9%
마 52
 
2.6%
상 49
 
2.5%
트 48
 
2.4%
유 41
 
2.1%
회 40
 
2.0%
Other values (292) 1400
70.4%
Common
ValueCountFrequency (%)
86
50.6%
2 18
 
10.6%
) 16
 
9.4%
( 16
 
9.4%
5 13
 
7.6%
4 5
 
2.9%
1 4
 
2.4%
3 3
 
1.8%
0 3
 
1.8%
6 2
 
1.2%
Other values (3) 4
 
2.4%
Latin
ValueCountFrequency (%)
C 6
21.4%
S 6
21.4%
G 6
21.4%
U 3
10.7%
D 2
 
7.1%
R 2
 
7.1%
J 1
 
3.6%
V 1
 
3.6%
P 1
 
3.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1989
90.9%
ASCII 198
 
9.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
86
43.4%
2 18
 
9.1%
) 16
 
8.1%
( 16
 
8.1%
5 13
 
6.6%
C 6
 
3.0%
S 6
 
3.0%
G 6
 
3.0%
4 5
 
2.5%
1 4
 
2.0%
Other values (12) 22
 
11.1%
Hangul
ValueCountFrequency (%)
점 83
 
4.2%
부 79
 
4.0%
안 78
 
3.9%
퍼 62
 
3.1%
슈 57
 
2.9%
마 52
 
2.6%
상 49
 
2.5%
트 48
 
2.4%
유 41
 
2.1%
회 40
 
2.0%
Other values (292) 1400
70.4%

업소도로명주소
Text

Distinct343
Distinct (%)97.2%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-12T08:23:40.226677image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length40
Mean length23.184136
Min length18

Characters and Unicode

Total characters8184
Distinct characters234
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

Unique335 ?
Unique (%)94.9%

Sample

1st row전라북도 부안군 부안읍 용암로 15
2nd row전라북도 부안군 행안면 변산로 70-7. 부안관광호텔
3rd row전라북도 부안군 변산면 변산해변로 799-38
4th row전라북도 부안군 부안읍 문정로 1
5th row전라북도 부안군 부안읍 시장길 41
ValueCountFrequency (%)
전라북도 353
18.9%
부안군 353
18.9%
부안읍 120
 
6.4%
변산면 96
 
5.1%
진서면 29
 
1.5%
석정로 23
 
1.2%
번영로 20
 
1.1%
변산로 20
 
1.1%
줄포면 18
 
1.0%
하서면 15
 
0.8%
Other values (495) 824
44.0%
2023-12-12T08:23:40.659824image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1720
21.0%
안 513
 
6.3%
부 496
 
6.1%
도 371
 
4.5%
전 357
 
4.4%
라 357
 
4.4%
북 355
 
4.3%
군 353
 
4.3%
1 284
 
3.5%
면 233
 
2.8%
Other values (224) 3145
38.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5123
62.6%
Space Separator 1720
 
21.0%
Decimal Number 1133
 
13.8%
Dash Punctuation 109
 
1.3%
Other Punctuation 50
 
0.6%
Open Punctuation 20
 
0.2%
Close Punctuation 20
 
0.2%
Uppercase Letter 8
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
안 513
 
10.0%
부 496
 
9.7%
도 371
 
7.2%
전 357
 
7.0%
라 357
 
7.0%
북 355
 
6.9%
군 353
 
6.9%
면 233
 
4.5%
로 174
 
3.4%
산 154
 
3.0%
Other values (200) 1760
34.4%
Decimal Number
ValueCountFrequency (%)
1 284
25.1%
2 163
14.4%
3 120
10.6%
4 94
 
8.3%
6 89
 
7.9%
7 84
 
7.4%
0 82
 
7.2%
5 75
 
6.6%
8 72
 
6.4%
9 70
 
6.2%
Uppercase Letter
ValueCountFrequency (%)
K 1
12.5%
R 1
12.5%
A 1
12.5%
P 1
12.5%
G 1
12.5%
Y 1
12.5%
N 1
12.5%
H 1
12.5%
Space Separator
ValueCountFrequency (%)
1720
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 109
100.0%
Other Punctuation
ValueCountFrequency (%)
. 50
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Lowercase Letter
ValueCountFrequency (%)
g 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5123
62.6%
Common 3052
37.3%
Latin 9
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
안 513
 
10.0%
부 496
 
9.7%
도 371
 
7.2%
전 357
 
7.0%
라 357
 
7.0%
북 355
 
6.9%
군 353
 
6.9%
면 233
 
4.5%
로 174
 
3.4%
산 154
 
3.0%
Other values (200) 1760
34.4%
Common
ValueCountFrequency (%)
1720
56.4%
1 284
 
9.3%
2 163
 
5.3%
3 120
 
3.9%
- 109
 
3.6%
4 94
 
3.1%
6 89
 
2.9%
7 84
 
2.8%
0 82
 
2.7%
5 75
 
2.5%
Other values (5) 232
 
7.6%
Latin
ValueCountFrequency (%)
K 1
11.1%
R 1
11.1%
A 1
11.1%
P 1
11.1%
G 1
11.1%
Y 1
11.1%
g 1
11.1%
N 1
11.1%
H 1
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5123
62.6%
ASCII 3061
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1720
56.2%
1 284
 
9.3%
2 163
 
5.3%
3 120
 
3.9%
- 109
 
3.6%
4 94
 
3.1%
6 89
 
2.9%
7 84
 
2.7%
0 82
 
2.7%
5 75
 
2.5%
Other values (14) 241
 
7.9%
Hangul
ValueCountFrequency (%)
안 513
 
10.0%
부 496
 
9.7%
도 371
 
7.2%
전 357
 
7.0%
라 357
 
7.0%
북 355
 
6.9%
군 353
 
6.9%
면 233
 
4.5%
로 174
 
3.4%
산 154
 
3.0%
Other values (200) 1760
34.4%

지정일자
Text

Distinct322
Distinct (%)91.2%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
2023-12-12T08:23:40.962993image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length9.9745042
Min length1

Characters and Unicode

Total characters3521
Distinct characters12
Distinct categories3 ?
Distinct scripts1 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique294 ?
Unique (%)83.3%

Sample

1st row2023-08-04
2nd row2023-07-27
3rd row2023-07-18
4th row2023-05-18
5th row2023-05-12
ValueCountFrequency (%)
1998-12-15 3
 
0.9%
1998-11-25 3
 
0.9%
2005-07-15 3
 
0.9%
2023-04-12 2
 
0.6%
1998-12-17 2
 
0.6%
2007-07-16 2
 
0.6%
1995-12-12 2
 
0.6%
1998-03-25 2
 
0.6%
2020-07-23 2
 
0.6%
2012-04-18 2
 
0.6%
Other values (311) 329
93.5%
2023-12-12T08:23:41.387584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 763
21.7%
- 704
20.0%
1 582
16.5%
2 578
16.4%
9 242
 
6.9%
3 129
 
3.7%
8 126
 
3.6%
5 110
 
3.1%
7 106
 
3.0%
4 97
 
2.8%
Other values (2) 84
 
2.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 2816
80.0%
Dash Punctuation 704
 
20.0%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 763
27.1%
1 582
20.7%
2 578
20.5%
9 242
 
8.6%
3 129
 
4.6%
8 126
 
4.5%
5 110
 
3.9%
7 106
 
3.8%
4 97
 
3.4%
6 83
 
2.9%
Dash Punctuation
ValueCountFrequency (%)
- 704
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 3521
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 763
21.7%
- 704
20.0%
1 582
16.5%
2 578
16.4%
9 242
 
6.9%
3 129
 
3.7%
8 126
 
3.6%
5 110
 
3.1%
7 106
 
3.0%
4 97
 
2.8%
Other values (2) 84
 
2.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 3521
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 763
21.7%
- 704
20.0%
1 582
16.5%
2 578
16.4%
9 242
 
6.9%
3 129
 
3.7%
8 126
 
3.6%
5 110
 
3.1%
7 106
 
3.0%
4 97
 
2.8%
Other values (2) 84
 
2.4%

데이터 기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.3%
Missing0
Missing (%)0.0%
Memory size2.9 KiB
Minimum2023-08-25 00:00:00
Maximum2023-08-25 00:00:00
2023-12-12T08:23:41.487479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T08:23:41.570206image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Missing values

2023-12-12T08:23:38.563533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T08:23:38.642497image/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

지정번호업소명업소도로명주소지정일자데이터 기준일자
02023-4790104-05-6-00021부안건축자재철물백화점전라북도 부안군 부안읍 용암로 152023-08-042023-08-25
12023-4790104-05-6-00019부안관광호텔전라북도 부안군 행안면 변산로 70-7. 부안관광호텔2023-07-272023-08-25
22023-4790104-05-6-00018펜션로또복권판매점전라북도 부안군 변산면 변산해변로 799-382023-07-182023-08-25
32023-4790104-05-6-00017광일철물전라북도 부안군 부안읍 문정로 12023-05-182023-08-25
42023-4790104-05-6-00016세븐일레븐 부안터미널점전라북도 부안군 부안읍 시장길 412023-05-122023-08-25
52023-4790104-05-6-00015이마트24 R부안곰소점전라북도 부안군 진서면 청자로 893. 4.5.6호2023-05-112023-08-25
62023-4790104-05-6-00014씨유 격포로드점전라북도 부안군 변산면 격포로 1962023-04-142023-08-25
72023-4790104-05-6-00013천하무적전라북도 부안군 변산면 채석강길 29. 287-2번지2023-04-142023-08-25
82023-4790104-05-6-00012지에스25 부안미소점전라북도 부안군 부안읍 봉동길 272023-04-122023-08-25
92023-4790104-05-6-00011지에스25 부안터미널점전라북도 부안군 부안읍 번영로 1502023-04-122023-08-25
지정번호업소명업소도로명주소지정일자데이터 기준일자
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