Overview

Dataset statistics

Number of variables11
Number of observations1245
Missing cells842
Missing cells (%)6.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory107.1 KiB
Average record size in memory88.1 B

Variable types

Text6
Categorical4
DateTime1

Dataset

Description울진군 관내 담배소현황(업소명, 대표자명, 소매인구분, 업소주소, 전화번호, 지정일자, 법인구분, 영업구분, 폐업일 등) 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15021294/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
업소명 has 277 (22.2%) missing valuesMissing
업소전화번호 has 565 (45.4%) missing valuesMissing

Reproduction

Analysis started2023-12-12 02:10:37.370049
Analysis finished2023-12-12 02:10:38.655510
Duration1.29 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

MISSING 

Distinct689
Distinct (%)71.2%
Missing277
Missing (%)22.2%
Memory size9.9 KiB
2023-12-12T11:10:38.838297image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length27
Median length19
Mean length5.9256198
Min length1

Characters and Unicode

Total characters5736
Distinct characters411
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

Unique545 ?
Unique (%)56.3%

Sample

1st row죽변198
2nd row후정1리해수욕장운영위원회
3rd row주식회사스카이레일
4th row씨유죽변점
5th row후포식자재마트
ValueCountFrequency (%)
없음 53
 
5.5%
상호없음 15
 
1.5%
10
 
1.0%
민박상회 6
 
0.6%
고려슈퍼 5
 
0.5%
한양슈퍼 5
 
0.5%
후정해수욕장 4
 
0.4%
그린수퍼 4
 
0.4%
나곡슈퍼 4
 
0.4%
시장수퍼 4
 
0.4%
Other values (678) 858
88.6%
2023-12-12T11:10:39.276154image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 236
 
4.1%
상 150
 
2.6%
회 142
 
2.5%
진 142
 
2.5%
마 137
 
2.4%
트 132
 
2.3%
울 130
 
2.3%
퍼 105
 
1.8%
매 83
 
1.4%
슈 80
 
1.4%
Other values (401) 4399
76.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 5388
93.9%
Decimal Number 118
 
2.1%
Uppercase Letter 99
 
1.7%
Open Punctuation 51
 
0.9%
Close Punctuation 51
 
0.9%
Lowercase Letter 12
 
0.2%
Other Punctuation 11
 
0.2%
Dash Punctuation 6
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 236
 
4.4%
상 150
 
2.8%
회 142
 
2.6%
진 142
 
2.6%
마 137
 
2.5%
트 132
 
2.4%
울 130
 
2.4%
퍼 105
 
1.9%
매 83
 
1.5%
슈 80
 
1.5%
Other values (364) 4051
75.2%
Uppercase Letter
ValueCountFrequency (%)
S 28
28.3%
G 23
23.2%
U 10
 
10.1%
C 10
 
10.1%
K 9
 
9.1%
P 8
 
8.1%
D 4
 
4.0%
L 3
 
3.0%
R 1
 
1.0%
O 1
 
1.0%
Other values (2) 2
 
2.0%
Lowercase Letter
ValueCountFrequency (%)
i 2
16.7%
f 2
16.7%
y 1
8.3%
l 1
8.3%
m 1
8.3%
a 1
8.3%
d 1
8.3%
n 1
8.3%
e 1
8.3%
r 1
8.3%
Decimal Number
ValueCountFrequency (%)
2 47
39.8%
5 24
20.3%
4 18
 
15.3%
1 18
 
15.3%
3 5
 
4.2%
7 2
 
1.7%
0 2
 
1.7%
8 1
 
0.8%
9 1
 
0.8%
Other Punctuation
ValueCountFrequency (%)
. 8
72.7%
/ 2
 
18.2%
& 1
 
9.1%
Open Punctuation
ValueCountFrequency (%)
( 51
100.0%
Close Punctuation
ValueCountFrequency (%)
) 51
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 5388
93.9%
Common 237
 
4.1%
Latin 111
 
1.9%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 236
 
4.4%
상 150
 
2.8%
회 142
 
2.6%
진 142
 
2.6%
마 137
 
2.5%
트 132
 
2.4%
울 130
 
2.4%
퍼 105
 
1.9%
매 83
 
1.5%
슈 80
 
1.5%
Other values (364) 4051
75.2%
Latin
ValueCountFrequency (%)
S 28
25.2%
G 23
20.7%
U 10
 
9.0%
C 10
 
9.0%
K 9
 
8.1%
P 8
 
7.2%
D 4
 
3.6%
L 3
 
2.7%
i 2
 
1.8%
f 2
 
1.8%
Other values (12) 12
10.8%
Common
ValueCountFrequency (%)
( 51
21.5%
) 51
21.5%
2 47
19.8%
5 24
10.1%
4 18
 
7.6%
1 18
 
7.6%
. 8
 
3.4%
- 6
 
2.5%
3 5
 
2.1%
7 2
 
0.8%
Other values (5) 7
 
3.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 5388
93.9%
ASCII 348
 
6.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 236
 
4.4%
상 150
 
2.8%
회 142
 
2.6%
진 142
 
2.6%
마 137
 
2.5%
트 132
 
2.4%
울 130
 
2.4%
퍼 105
 
1.9%
매 83
 
1.5%
슈 80
 
1.5%
Other values (364) 4051
75.2%
ASCII
ValueCountFrequency (%)
( 51
14.7%
) 51
14.7%
2 47
13.5%
S 28
8.0%
5 24
 
6.9%
G 23
 
6.6%
4 18
 
5.2%
1 18
 
5.2%
U 10
 
2.9%
C 10
 
2.9%
Other values (27) 68
19.5%

대표자명
Text

Distinct69
Distinct (%)5.5%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
2023-12-12T11:10:39.519159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length3
Median length3
Mean length3
Min length3

Characters and Unicode

Total characters3735
Distinct characters70
Distinct categories4 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique14 ?
Unique (%)1.1%

Sample

1st row하**
2nd row임**
3rd row이**
4th row장**
5th row김**
ValueCountFrequency (%)
김 259
20.8%
이 141
 
11.3%
박 87
 
7.0%
전 62
 
5.0%
황 59
 
4.7%
장 58
 
4.7%
최 54
 
4.3%
정 50
 
4.0%
임 41
 
3.3%
권 33
 
2.7%
Other values (59) 401
32.2%
2023-12-12T11:10:39.878852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 2490
66.7%
김 259
 
6.9%
이 141
 
3.8%
박 87
 
2.3%
전 62
 
1.7%
황 59
 
1.6%
장 58
 
1.6%
최 54
 
1.4%
정 50
 
1.3%
임 41
 
1.1%
Other values (60) 434
 
11.6%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 2490
66.7%
Other Letter 1239
33.2%
Open Punctuation 5
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 259
20.9%
이 141
 
11.4%
박 87
 
7.0%
전 62
 
5.0%
황 59
 
4.8%
장 58
 
4.7%
최 54
 
4.4%
정 50
 
4.0%
임 41
 
3.3%
권 33
 
2.7%
Other values (57) 395
31.9%
Other Punctuation
ValueCountFrequency (%)
* 2490
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Lowercase Letter
ValueCountFrequency (%)
n 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2495
66.8%
Hangul 1239
33.2%
Latin 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 259
20.9%
이 141
 
11.4%
박 87
 
7.0%
전 62
 
5.0%
황 59
 
4.8%
장 58
 
4.7%
최 54
 
4.4%
정 50
 
4.0%
임 41
 
3.3%
권 33
 
2.7%
Other values (57) 395
31.9%
Common
ValueCountFrequency (%)
* 2490
99.8%
( 5
 
0.2%
Latin
ValueCountFrequency (%)
n 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2496
66.8%
Hangul 1239
33.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 2490
99.8%
( 5
 
0.2%
n 1
 
< 0.1%
Hangul
ValueCountFrequency (%)
김 259
20.9%
이 141
 
11.4%
박 87
 
7.0%
전 62
 
5.0%
황 59
 
4.8%
장 58
 
4.7%
최 54
 
4.4%
정 50
 
4.0%
임 41
 
3.3%
권 33
 
2.7%
Other values (57) 395
31.9%

소매인구분
Categorical

Distinct5
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
일반소매인
797 
278 
<NA>
 
75
구내소매인
 
67
임시소매인
 
28

Length

Max length5
Median length5
Mean length4.0465863
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
일반소매인 797
64.0%
278
 
22.3%
<NA> 75
 
6.0%
구내소매인 67
 
5.4%
임시소매인 28
 
2.2%

Length

2023-12-12T11:10:40.042880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:10:40.188752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
일반소매인 797
82.4%
na 75
 
7.8%
구내소매인 67
 
6.9%
임시소매인 28
 
2.9%

업소지번주소
Text

Distinct1003
Distinct (%)80.6%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
2023-12-12T11:10:40.521037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length46
Median length38
Mean length23.065863
Min length1

Characters and Unicode

Total characters28717
Distinct characters253
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

Unique892 ?
Unique (%)71.6%

Sample

1st row경상북도 울진군 죽변면 죽변리 198 바다마을민박
2nd row경상북도 울진군 죽변면 후정리 53-27
3rd row경상북도 울진군 죽변면 죽변리 3-25 죽변 해안스카이레일 죽변승하차장
4th row경상북도 울진군 죽변면 죽변리 255-5 하이e스쿨
5th row경상북도 울진군 후포면 삼율리 287-1 후포홈마트
ValueCountFrequency (%)
경상북도 1139
18.2%
울진군 1139
18.2%
울진읍 213
 
3.4%
후포면 191
 
3.1%
죽변면 178
 
2.9%
읍내리 170
 
2.7%
북면 151
 
2.4%
죽변리 90
 
1.4%
후포리 89
 
1.4%
근남면 89
 
1.4%
Other values (1068) 2796
44.8%
2023-12-12T11:10:41.148612image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
6705
23.3%
진 1373
 
4.8%
울 1366
 
4.8%
북 1292
 
4.5%
도 1146
 
4.0%
경 1143
 
4.0%
상 1141
 
4.0%
군 1140
 
4.0%
리 1132
 
3.9%
호 996
 
3.5%
Other values (243) 11283
39.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 17186
59.8%
Space Separator 6705
 
23.3%
Decimal Number 4354
 
15.2%
Dash Punctuation 437
 
1.5%
Uppercase Letter 18
 
0.1%
Close Punctuation 6
 
< 0.1%
Open Punctuation 6
 
< 0.1%
Other Punctuation 4
 
< 0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
진 1373
 
8.0%
울 1366
 
7.9%
북 1292
 
7.5%
도 1146
 
6.7%
경 1143
 
6.7%
상 1141
 
6.6%
군 1140
 
6.6%
리 1132
 
6.6%
호 996
 
5.8%
면 866
 
5.0%
Other values (215) 5591
32.5%
Uppercase Letter
ValueCountFrequency (%)
C 3
16.7%
A 3
16.7%
P 2
11.1%
U 2
11.1%
T 1
 
5.6%
F 1
 
5.6%
K 1
 
5.6%
S 1
 
5.6%
B 1
 
5.6%
G 1
 
5.6%
Other values (2) 2
11.1%
Decimal Number
ValueCountFrequency (%)
1 799
18.4%
2 587
13.5%
3 535
12.3%
5 438
10.1%
4 414
9.5%
6 400
9.2%
9 319
 
7.3%
0 296
 
6.8%
7 294
 
6.8%
8 272
 
6.2%
Space Separator
ValueCountFrequency (%)
6705
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 437
100.0%
Close Punctuation
ValueCountFrequency (%)
) 6
100.0%
Open Punctuation
ValueCountFrequency (%)
( 6
100.0%
Other Punctuation
ValueCountFrequency (%)
. 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 17186
59.8%
Common 11512
40.1%
Latin 19
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
진 1373
 
8.0%
울 1366
 
7.9%
북 1292
 
7.5%
도 1146
 
6.7%
경 1143
 
6.7%
상 1141
 
6.6%
군 1140
 
6.6%
리 1132
 
6.6%
호 996
 
5.8%
면 866
 
5.0%
Other values (215) 5591
32.5%
Common
ValueCountFrequency (%)
6705
58.2%
1 799
 
6.9%
2 587
 
5.1%
3 535
 
4.6%
5 438
 
3.8%
- 437
 
3.8%
4 414
 
3.6%
6 400
 
3.5%
9 319
 
2.8%
0 296
 
2.6%
Other values (5) 582
 
5.1%
Latin
ValueCountFrequency (%)
C 3
15.8%
A 3
15.8%
P 2
10.5%
U 2
10.5%
T 1
 
5.3%
F 1
 
5.3%
K 1
 
5.3%
S 1
 
5.3%
B 1
 
5.3%
e 1
 
5.3%
Other values (3) 3
15.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 17186
59.8%
ASCII 11531
40.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
6705
58.1%
1 799
 
6.9%
2 587
 
5.1%
3 535
 
4.6%
5 438
 
3.8%
- 437
 
3.8%
4 414
 
3.6%
6 400
 
3.5%
9 319
 
2.8%
0 296
 
2.6%
Other values (18) 601
 
5.2%
Hangul
ValueCountFrequency (%)
진 1373
 
8.0%
울 1366
 
7.9%
북 1292
 
7.5%
도 1146
 
6.7%
경 1143
 
6.7%
상 1141
 
6.6%
군 1140
 
6.6%
리 1132
 
6.6%
호 996
 
5.8%
면 866
 
5.0%
Other values (215) 5591
32.5%

업소도로명주소
Text

Distinct466
Distinct (%)37.4%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
2023-12-12T11:10:41.592275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length47
Mean length12.342169
Min length1

Characters and Unicode

Total characters15366
Distinct characters248
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

Unique350 ?
Unique (%)28.1%

Sample

1st row경상북도 울진군 죽변면 죽변4길 81. 바다마을민박 1층
2nd row경상북도 울진군 죽변면 후정2길 74
3rd row경상북도 울진군 죽변면 죽변중앙로 235-12. 죽변 해안스카이레일 죽변승하차장
4th row경상북도 울진군 죽변면 죽변북로 24. 하이e스쿨
5th row경상북도 울진군 후포면 후포삼율로 100. 후포홈마트
ValueCountFrequency (%)
경상북도 653
19.1%
울진군 653
19.1%
울진읍 131
 
3.8%
죽변면 110
 
3.2%
후포면 104
 
3.0%
북면 95
 
2.8%
울진북로 81
 
2.4%
근남면 56
 
1.6%
울진중앙로 45
 
1.3%
온정면 45
 
1.3%
Other values (548) 1440
42.2%
2023-12-12T11:10:42.292259image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
3358
21.9%
울 952
 
6.2%
진 951
 
6.2%
북 850
 
5.5%
상 670
 
4.4%
경 661
 
4.3%
도 655
 
4.3%
군 655
 
4.3%
면 497
 
3.2%
1 478
 
3.1%
Other values (238) 5639
36.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 9613
62.6%
Space Separator 3358
 
21.9%
Decimal Number 2074
 
13.5%
Dash Punctuation 145
 
0.9%
Other Punctuation 85
 
0.6%
Open Punctuation 38
 
0.2%
Close Punctuation 38
 
0.2%
Uppercase Letter 14
 
0.1%
Lowercase Letter 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
울 952
 
9.9%
진 951
 
9.9%
북 850
 
8.8%
상 670
 
7.0%
경 661
 
6.9%
도 655
 
6.8%
군 655
 
6.8%
면 497
 
5.2%
로 443
 
4.6%
길 214
 
2.2%
Other values (214) 3065
31.9%
Decimal Number
ValueCountFrequency (%)
1 478
23.0%
2 340
16.4%
4 185
 
8.9%
5 176
 
8.5%
3 174
 
8.4%
9 159
 
7.7%
6 144
 
6.9%
0 140
 
6.8%
8 139
 
6.7%
7 139
 
6.7%
Uppercase Letter
ValueCountFrequency (%)
A 3
21.4%
C 3
21.4%
S 2
14.3%
U 2
14.3%
G 1
 
7.1%
K 1
 
7.1%
P 1
 
7.1%
B 1
 
7.1%
Space Separator
ValueCountFrequency (%)
3358
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 145
100.0%
Other Punctuation
ValueCountFrequency (%)
. 85
100.0%
Open Punctuation
ValueCountFrequency (%)
( 38
100.0%
Close Punctuation
ValueCountFrequency (%)
) 38
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 9613
62.6%
Common 5738
37.3%
Latin 15
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
울 952
 
9.9%
진 951
 
9.9%
북 850
 
8.8%
상 670
 
7.0%
경 661
 
6.9%
도 655
 
6.8%
군 655
 
6.8%
면 497
 
5.2%
로 443
 
4.6%
길 214
 
2.2%
Other values (214) 3065
31.9%
Common
ValueCountFrequency (%)
3358
58.5%
1 478
 
8.3%
2 340
 
5.9%
4 185
 
3.2%
5 176
 
3.1%
3 174
 
3.0%
9 159
 
2.8%
- 145
 
2.5%
6 144
 
2.5%
0 140
 
2.4%
Other values (5) 439
 
7.7%
Latin
ValueCountFrequency (%)
A 3
20.0%
C 3
20.0%
S 2
13.3%
U 2
13.3%
G 1
 
6.7%
e 1
 
6.7%
K 1
 
6.7%
P 1
 
6.7%
B 1
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 9613
62.6%
ASCII 5753
37.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
3358
58.4%
1 478
 
8.3%
2 340
 
5.9%
4 185
 
3.2%
5 176
 
3.1%
3 174
 
3.0%
9 159
 
2.8%
- 145
 
2.5%
6 144
 
2.5%
0 140
 
2.4%
Other values (14) 454
 
7.9%
Hangul
ValueCountFrequency (%)
울 952
 
9.9%
진 951
 
9.9%
북 850
 
8.8%
상 670
 
7.0%
경 661
 
6.9%
도 655
 
6.8%
군 655
 
6.8%
면 497
 
5.2%
로 443
 
4.6%
길 214
 
2.2%
Other values (214) 3065
31.9%

업소전화번호
Text

MISSING 

Distinct502
Distinct (%)73.8%
Missing565
Missing (%)45.4%
Memory size9.9 KiB
2023-12-12T11:10:42.623234image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length13
Median length12
Mean length12.002941
Min length11

Characters and Unicode

Total characters8162
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

Unique388 ?
Unique (%)57.1%

Sample

1st row054-783-8881
2nd row054-787-8551
3rd row053-750-4481
4th row054-787-7001
5th row054-787-1345
ValueCountFrequency (%)
054-785-6772 14
 
2.1%
054-782-0677 6
 
0.9%
054-787-4559 5
 
0.7%
054-788-4440 5
 
0.7%
054-788-6005 5
 
0.7%
054-782-7878 4
 
0.6%
054-782-1371 4
 
0.6%
054-782-9996 4
 
0.6%
054-782-9309 4
 
0.6%
054-782-8273 4
 
0.6%
Other values (493) 626
91.9%
2023-12-12T11:10:43.173895image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
- 1360
16.7%
7 1071
13.1%
0 1021
12.5%
5 1008
12.3%
8 1008
12.3%
4 978
12.0%
2 557
6.8%
3 392
 
4.8%
1 309
 
3.8%
6 248
 
3.0%
Other values (2) 210
 
2.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6801
83.3%
Dash Punctuation 1360
 
16.7%
Space Separator 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
7 1071
15.7%
0 1021
15.0%
5 1008
14.8%
8 1008
14.8%
4 978
14.4%
2 557
8.2%
3 392
 
5.8%
1 309
 
4.5%
6 248
 
3.6%
9 209
 
3.1%
Dash Punctuation
ValueCountFrequency (%)
- 1360
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8162
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
- 1360
16.7%
7 1071
13.1%
0 1021
12.5%
5 1008
12.3%
8 1008
12.3%
4 978
12.0%
2 557
6.8%
3 392
 
4.8%
1 309
 
3.8%
6 248
 
3.0%
Other values (2) 210
 
2.6%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8162
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
- 1360
16.7%
7 1071
13.1%
0 1021
12.5%
5 1008
12.3%
8 1008
12.3%
4 978
12.0%
2 557
6.8%
3 392
 
4.8%
1 309
 
3.8%
6 248
 
3.0%
Other values (2) 210
 
2.6%

지정일자
Date

Distinct849
Distinct (%)68.2%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
Minimum1975-05-21 00:00:00
Maximum2023-07-13 00:00:00
2023-12-12T11:10:43.382985image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T11:10:43.589937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

법인구분
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
658 
개인
533 
법인
 
54

Length

Max length2
Median length1
Mean length1.4714859
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row개인
2nd row개인
3rd row법인
4th row개인
5th row개인

Common Values

ValueCountFrequency (%)
658
52.9%
개인 533
42.8%
법인 54
 
4.3%

Length

2023-12-12T11:10:43.807913image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:10:43.956186image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 533
90.8%
법인 54
 
9.2%

영업구분
Categorical

Distinct6
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
폐업처리
744 
정상영업
424 
직권취소
 
36
지정취소
 
20
임시소매기간만료
 
20

Length

Max length8
Median length4
Mean length4.064257
Min length4

Unique

Unique1 ?
Unique (%)0.1%

Sample

1st row정상영업
2nd row정상영업
3rd row정상영업
4th row정상영업
5th row정상영업

Common Values

ValueCountFrequency (%)
폐업처리 744
59.8%
정상영업 424
34.1%
직권취소 36
 
2.9%
지정취소 20
 
1.6%
임시소매기간만료 20
 
1.6%
영업정지 1
 
0.1%

Length

2023-12-12T11:10:44.120772image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:10:44.278117image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
폐업처리 744
59.8%
정상영업 424
34.1%
직권취소 36
 
2.9%
지정취소 20
 
1.6%
임시소매기간만료 20
 
1.6%
영업정지 1
 
0.1%

폐업일
Text

Distinct665
Distinct (%)53.4%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
2023-12-12T11:10:44.591489image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length10
Mean length6.9204819
Min length1

Characters and Unicode

Total characters8616
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

Unique575 ?
Unique (%)46.2%

Sample

1st row
2nd row
3rd row
4th row
5th row
ValueCountFrequency (%)
2015-07-24 13
 
1.6%
2008-05-13 10
 
1.2%
2002-08-27 9
 
1.1%
2015-06-11 8
 
1.0%
2007-03-16 8
 
1.0%
2001-11-01 7
 
0.9%
2015-08-20 6
 
0.7%
2015-06-04 5
 
0.6%
2015-06-02 5
 
0.6%
2003-02-05 5
 
0.6%
Other values (654) 743
90.7%
2023-12-12T11:10:45.051497image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2317
26.9%
- 1638
19.0%
2 1464
17.0%
1 1084
12.6%
426
 
4.9%
3 294
 
3.4%
5 256
 
3.0%
6 240
 
2.8%
8 239
 
2.8%
7 238
 
2.8%
Other values (2) 420
 
4.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 6552
76.0%
Dash Punctuation 1638
 
19.0%
Space Separator 426
 
4.9%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2317
35.4%
2 1464
22.3%
1 1084
16.5%
3 294
 
4.5%
5 256
 
3.9%
6 240
 
3.7%
8 239
 
3.6%
7 238
 
3.6%
4 237
 
3.6%
9 183
 
2.8%
Dash Punctuation
ValueCountFrequency (%)
- 1638
100.0%
Space Separator
ValueCountFrequency (%)
426
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 8616
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2317
26.9%
- 1638
19.0%
2 1464
17.0%
1 1084
12.6%
426
 
4.9%
3 294
 
3.4%
5 256
 
3.0%
6 240
 
2.8%
8 239
 
2.8%
7 238
 
2.8%
Other values (2) 420
 
4.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 8616
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2317
26.9%
- 1638
19.0%
2 1464
17.0%
1 1084
12.6%
426
 
4.9%
3 294
 
3.4%
5 256
 
3.0%
6 240
 
2.8%
8 239
 
2.8%
7 238
 
2.8%
Other values (2) 420
 
4.9%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size9.9 KiB
2023-07-31
1245 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-31
2nd row2023-07-31
3rd row2023-07-31
4th row2023-07-31
5th row2023-07-31

Common Values

ValueCountFrequency (%)
2023-07-31 1245
100.0%

Length

2023-12-12T11:10:45.210380image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T11:10:45.313763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-31 1245
100.0%

Correlations

2023-12-12T11:10:45.389853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
대표자명소매인구분법인구분영업구분
대표자명1.0000.3210.6180.000
소매인구분0.3211.0000.4900.616
법인구분0.6180.4901.0000.453
영업구분0.0000.6160.4531.000
2023-12-12T11:10:45.505178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
법인구분소매인구분영업구분
법인구분1.0000.4880.210
소매인구분0.4881.0000.446
영업구분0.2100.4461.000
2023-12-12T11:10:45.627364image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
소매인구분법인구분영업구분
소매인구분1.0000.4880.446
법인구분0.4881.0000.210
영업구분0.4460.2101.000

Missing values

2023-12-12T11:10:38.259596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T11:10:38.449347image/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.
2023-12-12T11:10:38.583518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
The correlation heatmap measures nullity correlation: how strongly the presence or absence of one variable affects the presence of another.

Sample

업소명대표자명소매인구분업소지번주소업소도로명주소업소전화번호지정일자법인구분영업구분폐업일데이터기준일자
0죽변198하**<NA>경상북도 울진군 죽변면 죽변리 198 바다마을민박경상북도 울진군 죽변면 죽변4길 81. 바다마을민박 1층<NA>2023-07-13개인정상영업2023-07-31
1후정1리해수욕장운영위원회임**<NA>경상북도 울진군 죽변면 후정리 53-27경상북도 울진군 죽변면 후정2길 74<NA>2023-07-12개인정상영업2023-07-31
2주식회사스카이레일이**<NA>경상북도 울진군 죽변면 죽변리 3-25 죽변 해안스카이레일 죽변승하차장경상북도 울진군 죽변면 죽변중앙로 235-12. 죽변 해안스카이레일 죽변승하차장054-783-88812023-05-25법인정상영업2023-07-31
3씨유죽변점장**<NA>경상북도 울진군 죽변면 죽변리 255-5 하이e스쿨경상북도 울진군 죽변면 죽변북로 24. 하이e스쿨<NA>2023-04-12개인정상영업2023-07-31
4후포식자재마트김**<NA>경상북도 울진군 후포면 삼율리 287-1 후포홈마트경상북도 울진군 후포면 후포삼율로 100. 후포홈마트<NA>2023-04-04개인정상영업2023-07-31
5마일편의점송**<NA>경상북도 울진군 기성면 망양리 4-1경상북도 울진군 기성면 망양1길 72<NA>2023-03-16개인정상영업2023-07-31
6지에스(GS)25울진후포대성점김**<NA>경상북도 울진군 후포면 후포리 504 로얄모텔경상북도 울진군 후포면 후포로 183. 로얄모텔 1층<NA>2023-03-16개인정상영업2023-07-31
7지에스(GS)25울진후포광장점이**<NA>경상북도 울진군 후포면 후포리 316-120경상북도 울진군 후포면 후포4길 78<NA>2023-02-13개인정상영업2023-07-31
8신한울제1발전소매점최**<NA>경상북도 울진군 북면 부구리 1 한국수력원자력(주) 울진원자력본부경상북도 울진군 북면 울진북로 2040. 한국수력원자력(주) 울진원자력본부 A동 1층<NA>2023-01-26개인정상영업2023-07-31
9세븐일레븐울진후포마린점서**<NA>경상북도 울진군 후포면 삼율리 278-4 세븐일레븐울진후포마린점경상북도 울진군 후포면 후포삼율로 90. 세븐일레븐울진후포마린점 1층<NA>2022-12-27개인정상영업2023-07-31
업소명대표자명소매인구분업소지번주소업소도로명주소업소전화번호지정일자법인구분영업구분폐업일데이터기준일자
1235서면상회임**일반소매인경상북도 울진군 원남면 매화리 1143호<NA>1975-07-01폐업처리2007-08-272023-07-31
1236<NA>지**일반소매인경상북도 울진군 원남면 기양리 1569호경상북도 울진군 원남면 기양두기길 1-2054-782-74821975-07-01폐업처리2003-04-232023-07-31
1237상호없음박**일반소매인경상북도 울진군 원남면 기양리 577호경상북도 울진군 원남면 기전길 16-8<NA>1975-05-21개인직권취소2015-06-112023-07-31
1238<NA>주**일반소매인경상북도 울진군 근남면 산포리 137-1호<NA>1975-07-01정상영업2023-07-31
1239없음김**일반소매인경상북도 울진군 근남면 산포리 3호경상북도 울진군 근남면 세포1길 13<NA>1975-07-01폐업처리2013-07-242023-07-31
1240없음김**일반소매인경상북도 울진군 근남면 산포리 721호경상북도 울진군 근남면 망양정로 997<NA>1975-07-01폐업처리2008-06-182023-07-31
1241<NA>김**일반소매인경상북도 울진군 근남면 산포리 907호054-782-19151975-07-01폐업처리2006-01-132023-07-31
1242<NA>전**일반소매인경상북도 울진군 근남면 행곡리 165호<NA>1975-07-01정상영업2023-07-31
1243<NA>주**일반소매인경상북도 울진군 울진읍 명도리 329-6호<NA>1975-08-05정상영업2023-07-31
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