Overview

Dataset statistics

Number of variables7
Number of observations1216
Missing cells2
Missing cells (%)< 0.1%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory66.6 KiB
Average record size in memory56.1 B

Variable types

Text6
Categorical1

Dataset

Description울산광역시 남구 담배소매업 정보에 대한 데이터로 지정번호, 관리번호, 대표자명, 업소명, 업소도로명주소 등의 항목에 대해 제공합니다.
Author울산광역시 남구
URLhttps://www.data.go.kr/data/15021282/fileData.do

Alerts

지정번호 has unique valuesUnique

Reproduction

Analysis started2024-03-15 02:09:31.772336
Analysis finished2024-03-15 02:09:33.586461
Duration1.81 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

지정번호
Text

UNIQUE 

Distinct1216
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
2024-03-15T11:09:34.367754image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters27968
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

Unique1216 ?
Unique (%)100.0%

Sample

1st row2023-3700160-05-6-00080
2nd row2023-3700160-05-6-00079
3rd row2023-3700160-05-6-00078
4th row2023-3700160-05-6-00077
5th row2023-3700160-05-6-00076
ValueCountFrequency (%)
2023-3700160-05-6-00080 1
 
0.1%
2009-3700053-05-6-00138 1
 
0.1%
2009-3700053-05-6-00073 1
 
0.1%
2009-3700053-05-6-00078 1
 
0.1%
2009-3700053-05-6-00082 1
 
0.1%
2009-3700053-05-6-00091 1
 
0.1%
2009-3700053-05-6-00109 1
 
0.1%
2009-3700053-05-6-00114 1
 
0.1%
2009-3700053-05-6-00125 1
 
0.1%
2023-3700160-05-6-00079 1
 
0.1%
Other values (1206) 1206
99.2%
2024-03-15T11:09:35.891745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 10085
36.1%
- 4864
17.4%
1 2017
 
7.2%
6 1962
 
7.0%
2 1914
 
6.8%
3 1705
 
6.1%
7 1647
 
5.9%
5 1620
 
5.8%
9 1034
 
3.7%
4 644
 
2.3%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 23104
82.6%
Dash Punctuation 4864
 
17.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 10085
43.7%
1 2017
 
8.7%
6 1962
 
8.5%
2 1914
 
8.3%
3 1705
 
7.4%
7 1647
 
7.1%
5 1620
 
7.0%
9 1034
 
4.5%
4 644
 
2.8%
8 476
 
2.1%
Dash Punctuation
ValueCountFrequency (%)
- 4864
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 27968
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 10085
36.1%
- 4864
17.4%
1 2017
 
7.2%
6 1962
 
7.0%
2 1914
 
6.8%
3 1705
 
6.1%
7 1647
 
5.9%
5 1620
 
5.8%
9 1034
 
3.7%
4 644
 
2.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 27968
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 10085
36.1%
- 4864
17.4%
1 2017
 
7.2%
6 1962
 
7.0%
2 1914
 
6.8%
3 1705
 
6.1%
7 1647
 
5.9%
5 1620
 
5.8%
9 1034
 
3.7%
4 644
 
2.3%

관리번호
Text

Distinct690
Distinct (%)56.7%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
2024-03-15T11:09:36.670298image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length14
Mean length8.3560855
Min length1

Characters and Unicode

Total characters10161
Distinct characters17
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique689 ?
Unique (%)56.7%

Sample

1st row2023-울산남구-0080
2nd row2023-울산남구-0079
3rd row2023-울산남구-0078
4th row2023-울산남구-0077
5th row2023-울산남구-0076
ValueCountFrequency (%)
2023-울산남구-0072 1
 
0.1%
2018-울산남구-0099 1
 
0.1%
2018-울산남구-0072 1
 
0.1%
2018-울산남구-0088 1
 
0.1%
2018-울산남구-0109 1
 
0.1%
2018-울산남구-0108 1
 
0.1%
2018-울산남구-0105 1
 
0.1%
2018-울산남구-0104 1
 
0.1%
2018-울산남구-0103 1
 
0.1%
2018-울산남구-0102 1
 
0.1%
Other values (679) 679
98.5%
2024-03-15T11:09:37.933147image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 2134
21.0%
- 1376
13.5%
2 1306
12.9%
1 776
 
7.6%
구 687
 
6.8%
울 687
 
6.8%
산 687
 
6.8%
남 687
 
6.8%
527
 
5.2%
3 213
 
2.1%
Other values (7) 1081
10.6%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 5509
54.2%
Other Letter 2748
27.0%
Dash Punctuation 1376
 
13.5%
Space Separator 527
 
5.2%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 2134
38.7%
2 1306
23.7%
1 776
 
14.1%
3 213
 
3.9%
8 212
 
3.8%
9 190
 
3.4%
7 178
 
3.2%
4 171
 
3.1%
5 166
 
3.0%
6 163
 
3.0%
Other Letter
ValueCountFrequency (%)
구 687
25.0%
울 687
25.0%
산 687
25.0%
남 687
25.0%
Dash Punctuation
ValueCountFrequency (%)
- 1376
100.0%
Space Separator
ValueCountFrequency (%)
527
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 7413
73.0%
Hangul 2748
 
27.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 2134
28.8%
- 1376
18.6%
2 1306
17.6%
1 776
 
10.5%
527
 
7.1%
3 213
 
2.9%
8 212
 
2.9%
9 190
 
2.6%
7 178
 
2.4%
4 171
 
2.3%
Other values (3) 330
 
4.5%
Hangul
ValueCountFrequency (%)
구 687
25.0%
울 687
25.0%
산 687
25.0%
남 687
25.0%

Most occurring blocks

ValueCountFrequency (%)
ASCII 7413
73.0%
Hangul 2748
 
27.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 2134
28.8%
- 1376
18.6%
2 1306
17.6%
1 776
 
10.5%
527
 
7.1%
3 213
 
2.9%
8 212
 
2.9%
9 190
 
2.6%
7 178
 
2.4%
4 171
 
2.3%
Other values (3) 330
 
4.5%
Hangul
ValueCountFrequency (%)
구 687
25.0%
울 687
25.0%
산 687
25.0%
남 687
25.0%

대표자명
Text

Distinct135
Distinct (%)11.1%
Missing2
Missing (%)0.2%
Memory size9.6 KiB
2024-03-15T11:09:38.583901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length3
Mean length3.4752883
Min length2

Characters and Unicode

Total characters4219
Distinct characters184
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique72 ?
Unique (%)5.9%

Sample

1st row권**
2nd row김**
3rd row김**
4th row김**
5th row차**
ValueCountFrequency (%)
김 277
21.6%
이 154
 
12.0%
박 115
 
9.0%
최 68
 
5.3%
정 64
 
5.0%
조 31
 
2.4%
강 27
 
2.1%
서 27
 
2.1%
신 26
 
2.0%
유 25
 
2.0%
Other values (116) 468
36.5%
2024-03-15T11:09:39.625897image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 2335
55.3%
김 277
 
6.6%
이 170
 
4.0%
박 115
 
2.7%
68
 
1.6%
최 68
 
1.6%
정 65
 
1.5%
주 57
 
1.4%
조 33
 
0.8%
) 32
 
0.8%
Other values (174) 999
23.7%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 2338
55.4%
Other Letter 1719
40.7%
Space Separator 68
 
1.6%
Close Punctuation 32
 
0.8%
Open Punctuation 32
 
0.8%
Decimal Number 19
 
0.5%
Other Symbol 8
 
0.2%
Uppercase Letter 3
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 277
 
16.1%
이 170
 
9.9%
박 115
 
6.7%
최 68
 
4.0%
정 65
 
3.8%
주 57
 
3.3%
조 33
 
1.9%
신 29
 
1.7%
유 29
 
1.7%
서 28
 
1.6%
Other values (160) 848
49.3%
Other Punctuation
ValueCountFrequency (%)
* 2335
99.9%
, 1
 
< 0.1%
， 1
 
< 0.1%
. 1
 
< 0.1%
Decimal Number
ValueCountFrequency (%)
1 12
63.2%
2 4
 
21.1%
4 3
 
15.8%
Uppercase Letter
ValueCountFrequency (%)
J 1
33.3%
D 1
33.3%
P 1
33.3%
Space Separator
ValueCountFrequency (%)
68
100.0%
Close Punctuation
ValueCountFrequency (%)
) 32
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 8
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 2489
59.0%
Hangul 1727
40.9%
Latin 3
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 277
 
16.0%
이 170
 
9.8%
박 115
 
6.7%
최 68
 
3.9%
정 65
 
3.8%
주 57
 
3.3%
조 33
 
1.9%
신 29
 
1.7%
유 29
 
1.7%
서 28
 
1.6%
Other values (161) 856
49.6%
Common
ValueCountFrequency (%)
* 2335
93.8%
68
 
2.7%
) 32
 
1.3%
( 32
 
1.3%
1 12
 
0.5%
2 4
 
0.2%
4 3
 
0.1%
, 1
 
< 0.1%
， 1
 
< 0.1%
. 1
 
< 0.1%
Latin
ValueCountFrequency (%)
J 1
33.3%
D 1
33.3%
P 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2491
59.0%
Hangul 1719
40.7%
None 9
 
0.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 2335
93.7%
68
 
2.7%
) 32
 
1.3%
( 32
 
1.3%
1 12
 
0.5%
2 4
 
0.2%
4 3
 
0.1%
, 1
 
< 0.1%
J 1
 
< 0.1%
D 1
 
< 0.1%
Other values (2) 2
 
0.1%
Hangul
ValueCountFrequency (%)
김 277
 
16.1%
이 170
 
9.9%
박 115
 
6.7%
최 68
 
4.0%
정 65
 
3.8%
주 57
 
3.3%
조 33
 
1.9%
신 29
 
1.7%
유 29
 
1.7%
서 28
 
1.6%
Other values (160) 848
49.3%
None
ValueCountFrequency (%)
㈜ 8
88.9%
， 1
 
11.1%

업소명
Text

Distinct1150
Distinct (%)94.6%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
2024-03-15T11:09:40.802722image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length19
Mean length7.9424342
Min length1

Characters and Unicode

Total characters9658
Distinct characters527
Distinct categories11 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1113 ?
Unique (%)91.5%

Sample

1st row정남마트
2nd row푸르지오편의마트
3rd row달동SHOP
4th row보성복권방
5th row오렌지마트
ValueCountFrequency (%)
씨유 98
 
5.9%
세븐일레븐 68
 
4.1%
이마트24 53
 
3.2%
지에스(gs)25 45
 
2.7%
지에스25 15
 
0.9%
gs25 12
 
0.7%
주)코리아세븐 9
 
0.5%
주식회사 9
 
0.5%
탑마트 8
 
0.5%
미니스톱 7
 
0.4%
Other values (1205) 1342
80.6%
2024-03-15T11:09:42.414329image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
점 517
 
5.4%
481
 
5.0%
산 398
 
4.1%
울 319
 
3.3%
마 306
 
3.2%
트 299
 
3.1%
스 207
 
2.1%
2 193
 
2.0%
유 182
 
1.9%
븐 153
 
1.6%
Other values (517) 6603
68.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8138
84.3%
Space Separator 481
 
5.0%
Decimal Number 408
 
4.2%
Uppercase Letter 317
 
3.3%
Close Punctuation 131
 
1.4%
Open Punctuation 131
 
1.4%
Lowercase Letter 32
 
0.3%
Other Punctuation 11
 
0.1%
Other Symbol 5
 
0.1%
Dash Punctuation 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
점 517
 
6.4%
산 398
 
4.9%
울 319
 
3.9%
마 306
 
3.8%
트 299
 
3.7%
스 207
 
2.5%
유 182
 
2.2%
븐 153
 
1.9%
이 151
 
1.9%
지 139
 
1.7%
Other values (461) 5467
67.2%
Uppercase Letter
ValueCountFrequency (%)
S 106
33.4%
G 95
30.0%
K 16
 
5.0%
E 16
 
5.0%
R 15
 
4.7%
D 9
 
2.8%
O 6
 
1.9%
T 6
 
1.9%
J 6
 
1.9%
L 6
 
1.9%
Other values (13) 36
 
11.4%
Lowercase Letter
ValueCountFrequency (%)
e 8
25.0%
u 4
12.5%
c 3
 
9.4%
n 2
 
6.2%
s 2
 
6.2%
h 2
 
6.2%
o 2
 
6.2%
r 1
 
3.1%
t 1
 
3.1%
v 1
 
3.1%
Other values (6) 6
18.8%
Decimal Number
ValueCountFrequency (%)
2 193
47.3%
5 122
29.9%
4 74
 
18.1%
3 6
 
1.5%
1 5
 
1.2%
7 5
 
1.2%
6 3
 
0.7%
Other Punctuation
ValueCountFrequency (%)
& 4
36.4%
. 4
36.4%
# 2
18.2%
? 1
 
9.1%
Space Separator
ValueCountFrequency (%)
481
100.0%
Close Punctuation
ValueCountFrequency (%)
) 131
100.0%
Open Punctuation
ValueCountFrequency (%)
( 131
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 5
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Math Symbol
ValueCountFrequency (%)
+ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8143
84.3%
Common 1166
 
12.1%
Latin 349
 
3.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
점 517
 
6.3%
산 398
 
4.9%
울 319
 
3.9%
마 306
 
3.8%
트 299
 
3.7%
스 207
 
2.5%
유 182
 
2.2%
븐 153
 
1.9%
이 151
 
1.9%
지 139
 
1.7%
Other values (462) 5472
67.2%
Latin
ValueCountFrequency (%)
S 106
30.4%
G 95
27.2%
K 16
 
4.6%
E 16
 
4.6%
R 15
 
4.3%
D 9
 
2.6%
e 8
 
2.3%
O 6
 
1.7%
T 6
 
1.7%
J 6
 
1.7%
Other values (29) 66
18.9%
Common
ValueCountFrequency (%)
481
41.3%
2 193
16.6%
) 131
 
11.2%
( 131
 
11.2%
5 122
 
10.5%
4 74
 
6.3%
3 6
 
0.5%
1 5
 
0.4%
7 5
 
0.4%
& 4
 
0.3%
Other values (6) 14
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8138
84.3%
ASCII 1515
 
15.7%
None 5
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
점 517
 
6.4%
산 398
 
4.9%
울 319
 
3.9%
마 306
 
3.8%
트 299
 
3.7%
스 207
 
2.5%
유 182
 
2.2%
븐 153
 
1.9%
이 151
 
1.9%
지 139
 
1.7%
Other values (461) 5467
67.2%
ASCII
ValueCountFrequency (%)
481
31.7%
2 193
12.7%
) 131
 
8.6%
( 131
 
8.6%
5 122
 
8.1%
S 106
 
7.0%
G 95
 
6.3%
4 74
 
4.9%
K 16
 
1.1%
E 16
 
1.1%
Other values (45) 150
 
9.9%
None
ValueCountFrequency (%)
㈜ 5
100.0%

업소지번주소
Text

Distinct1098
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
2024-03-15T11:09:43.279847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length39
Mean length20.327303
Min length1

Characters and Unicode

Total characters24718
Distinct characters253
Distinct categories10 ?
Distinct scripts4 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique1087 ?
Unique (%)89.4%

Sample

1st row울산광역시 남구 야음동 723-1
2nd row울산광역시 남구 신정동 303-21
3rd row울산광역시 남구 달동 640-12
4th row울산광역시 남구 신정동 495-3
5th row울산광역시 남구 신정동 1559-31
ValueCountFrequency (%)
울산광역시 1107
21.6%
남구 1106
21.6%
신정동 266
 
5.2%
달동 172
 
3.4%
무거동 162
 
3.2%
삼산동 155
 
3.0%
야음동 138
 
2.7%
1호 74
 
1.4%
옥동 49
 
1.0%
선암동 31
 
0.6%
Other values (1296) 1857
36.3%
2024-03-15T11:09:44.553159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
5035
20.4%
1 1323
 
5.4%
산 1301
 
5.3%
동 1136
 
4.6%
울 1123
 
4.5%
시 1115
 
4.5%
남 1114
 
4.5%
구 1113
 
4.5%
광 1110
 
4.5%
역 1108
 
4.5%
Other values (243) 9240
37.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 13710
55.5%
Decimal Number 5286
 
21.4%
Space Separator 5035
 
20.4%
Dash Punctuation 596
 
2.4%
Uppercase Letter 35
 
0.1%
Close Punctuation 23
 
0.1%
Open Punctuation 23
 
0.1%
Other Punctuation 5
 
< 0.1%
Lowercase Letter 4
 
< 0.1%
Math Symbol 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1301
 
9.5%
동 1136
 
8.3%
울 1123
 
8.2%
시 1115
 
8.1%
남 1114
 
8.1%
구 1113
 
8.1%
광 1110
 
8.1%
역 1108
 
8.1%
호 775
 
5.7%
지 487
 
3.6%
Other values (213) 3328
24.3%
Decimal Number
ValueCountFrequency (%)
1 1323
25.0%
2 578
10.9%
3 519
 
9.8%
6 500
 
9.5%
5 498
 
9.4%
4 468
 
8.9%
8 418
 
7.9%
7 389
 
7.4%
0 302
 
5.7%
9 291
 
5.5%
Uppercase Letter
ValueCountFrequency (%)
B 10
28.6%
K 6
17.1%
S 6
17.1%
N 5
14.3%
A 3
 
8.6%
C 1
 
2.9%
E 1
 
2.9%
T 1
 
2.9%
R 1
 
2.9%
M 1
 
2.9%
Lowercase Letter
ValueCountFrequency (%)
w 1
25.0%
e 1
25.0%
k 1
25.0%
s 1
25.0%
Space Separator
ValueCountFrequency (%)
5035
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 596
100.0%
Close Punctuation
ValueCountFrequency (%)
) 23
100.0%
Open Punctuation
ValueCountFrequency (%)
( 23
100.0%
Other Punctuation
ValueCountFrequency (%)
. 5
100.0%
Math Symbol
ValueCountFrequency (%)
~ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 13709
55.5%
Common 10969
44.4%
Latin 39
 
0.2%
Han 1
 
< 0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1301
 
9.5%
동 1136
 
8.3%
울 1123
 
8.2%
시 1115
 
8.1%
남 1114
 
8.1%
구 1113
 
8.1%
광 1110
 
8.1%
역 1108
 
8.1%
호 775
 
5.7%
지 487
 
3.6%
Other values (212) 3327
24.3%
Common
ValueCountFrequency (%)
5035
45.9%
1 1323
 
12.1%
- 596
 
5.4%
2 578
 
5.3%
3 519
 
4.7%
6 500
 
4.6%
5 498
 
4.5%
4 468
 
4.3%
8 418
 
3.8%
7 389
 
3.5%
Other values (6) 645
 
5.9%
Latin
ValueCountFrequency (%)
B 10
25.6%
K 6
15.4%
S 6
15.4%
N 5
12.8%
A 3
 
7.7%
w 1
 
2.6%
e 1
 
2.6%
C 1
 
2.6%
E 1
 
2.6%
k 1
 
2.6%
Other values (4) 4
 
10.3%
Han
ValueCountFrequency (%)
內 1
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 13709
55.5%
ASCII 11008
44.5%
CJK 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
5035
45.7%
1 1323
 
12.0%
- 596
 
5.4%
2 578
 
5.3%
3 519
 
4.7%
6 500
 
4.5%
5 498
 
4.5%
4 468
 
4.3%
8 418
 
3.8%
7 389
 
3.5%
Other values (20) 684
 
6.2%
Hangul
ValueCountFrequency (%)
산 1301
 
9.5%
동 1136
 
8.3%
울 1123
 
8.2%
시 1115
 
8.1%
남 1114
 
8.1%
구 1113
 
8.1%
광 1110
 
8.1%
역 1108
 
8.1%
호 775
 
5.7%
지 487
 
3.6%
Other values (212) 3327
24.3%
CJK
ValueCountFrequency (%)
內 1
100.0%

업소도로명주소
Text

Distinct894
Distinct (%)73.5%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
2024-03-15T11:09:45.790441image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length59
Median length55
Mean length21.118421
Min length1

Characters and Unicode

Total characters25680
Distinct characters291
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

Unique890 ?
Unique (%)73.2%

Sample

1st row울산광역시 남구 중앙로 44 (야음동)
2nd row울산광역시 남구 팔등로 88 (신정동)
3rd row울산광역시 남구 중앙로166번길 33 (달동)
4th row울산광역시 남구 중앙로 268. 1층 (신정동)
5th row울산광역시 남구 거마로 79. 1층 (신정동)
ValueCountFrequency (%)
울산광역시 896
 
17.2%
남구 896
 
17.2%
1층 315
 
6.1%
신정동 235
 
4.5%
달동 152
 
2.9%
삼산동 135
 
2.6%
무거동 121
 
2.3%
야음동 99
 
1.9%
옥동 39
 
0.7%
101호 32
 
0.6%
Other values (974) 2284
43.9%
2024-03-15T11:09:47.525432image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
4735
 
18.4%
1 1250
 
4.9%
산 1208
 
4.7%
동 993
 
3.9%
남 934
 
3.6%
울 916
 
3.6%
( 915
 
3.6%
) 915
 
3.6%
구 907
 
3.5%
시 905
 
3.5%
Other values (281) 12002
46.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 14323
55.8%
Space Separator 4735
 
18.4%
Decimal Number 4066
 
15.8%
Open Punctuation 915
 
3.6%
Close Punctuation 915
 
3.6%
Other Punctuation 561
 
2.2%
Dash Punctuation 127
 
0.5%
Uppercase Letter 31
 
0.1%
Lowercase Letter 4
 
< 0.1%
Math Symbol 3
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
산 1208
 
8.4%
동 993
 
6.9%
남 934
 
6.5%
울 916
 
6.4%
구 907
 
6.3%
시 905
 
6.3%
로 902
 
6.3%
광 900
 
6.3%
역 897
 
6.3%
번 517
 
3.6%
Other values (251) 5244
36.6%
Decimal Number
ValueCountFrequency (%)
1 1250
30.7%
2 573
14.1%
3 393
 
9.7%
0 357
 
8.8%
4 312
 
7.7%
8 260
 
6.4%
5 254
 
6.2%
6 245
 
6.0%
7 233
 
5.7%
9 189
 
4.6%
Uppercase Letter
ValueCountFrequency (%)
B 11
35.5%
K 5
16.1%
S 5
16.1%
A 4
 
12.9%
C 2
 
6.5%
T 1
 
3.2%
R 1
 
3.2%
M 1
 
3.2%
E 1
 
3.2%
Lowercase Letter
ValueCountFrequency (%)
s 1
25.0%
k 1
25.0%
e 1
25.0%
w 1
25.0%
Math Symbol
ValueCountFrequency (%)
~ 2
66.7%
+ 1
33.3%
Space Separator
ValueCountFrequency (%)
4735
100.0%
Open Punctuation
ValueCountFrequency (%)
( 915
100.0%
Close Punctuation
ValueCountFrequency (%)
) 915
100.0%
Other Punctuation
ValueCountFrequency (%)
. 561
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 127
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 14323
55.8%
Common 11322
44.1%
Latin 35
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
산 1208
 
8.4%
동 993
 
6.9%
남 934
 
6.5%
울 916
 
6.4%
구 907
 
6.3%
시 905
 
6.3%
로 902
 
6.3%
광 900
 
6.3%
역 897
 
6.3%
번 517
 
3.6%
Other values (251) 5244
36.6%
Common
ValueCountFrequency (%)
4735
41.8%
1 1250
 
11.0%
( 915
 
8.1%
) 915
 
8.1%
2 573
 
5.1%
. 561
 
5.0%
3 393
 
3.5%
0 357
 
3.2%
4 312
 
2.8%
8 260
 
2.3%
Other values (7) 1051
 
9.3%
Latin
ValueCountFrequency (%)
B 11
31.4%
K 5
14.3%
S 5
14.3%
A 4
 
11.4%
C 2
 
5.7%
s 1
 
2.9%
k 1
 
2.9%
e 1
 
2.9%
w 1
 
2.9%
T 1
 
2.9%
Other values (3) 3
 
8.6%

Most occurring blocks

ValueCountFrequency (%)
Hangul 14323
55.8%
ASCII 11357
44.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
4735
41.7%
1 1250
 
11.0%
( 915
 
8.1%
) 915
 
8.1%
2 573
 
5.0%
. 561
 
4.9%
3 393
 
3.5%
0 357
 
3.1%
4 312
 
2.7%
8 260
 
2.3%
Other values (20) 1086
 
9.6%
Hangul
ValueCountFrequency (%)
산 1208
 
8.4%
동 993
 
6.9%
남 934
 
6.5%
울 916
 
6.4%
구 907
 
6.3%
시 905
 
6.3%
로 902
 
6.3%
광 900
 
6.3%
역 897
 
6.3%
번 517
 
3.6%
Other values (251) 5244
36.6%

법인구분
Categorical

Distinct3
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size9.6 KiB
개인
826 
329 
법인
 
61

Length

Max length2
Median length2
Mean length1.7294408
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
개인 826
67.9%
329
 
27.1%
법인 61
 
5.0%

Length

2024-03-15T11:09:47.942316image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T11:09:48.260179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
개인 826
93.1%
법인 61
 
6.9%

Missing values

2024-03-15T11:09:33.032808image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T11:09:33.433381image/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

지정번호관리번호대표자명업소명업소지번주소업소도로명주소법인구분
02023-3700160-05-6-000802023-울산남구-0080권**정남마트울산광역시 남구 야음동 723-1울산광역시 남구 중앙로 44 (야음동)개인
12023-3700160-05-6-000792023-울산남구-0079김**푸르지오편의마트울산광역시 남구 신정동 303-21울산광역시 남구 팔등로 88 (신정동)개인
22023-3700160-05-6-000782023-울산남구-0078김**달동SHOP울산광역시 남구 달동 640-12울산광역시 남구 중앙로166번길 33 (달동)개인
32023-3700160-05-6-000772023-울산남구-0077김**보성복권방울산광역시 남구 신정동 495-3울산광역시 남구 중앙로 268. 1층 (신정동)개인
42023-3700160-05-6-000762023-울산남구-0076차**오렌지마트울산광역시 남구 신정동 1559-31울산광역시 남구 거마로 79. 1층 (신정동)개인
52023-3700160-05-6-000752023-울산남구-0075김**멜로우시가울산광역시 남구 달동 1271-15울산광역시 남구 달삼로 7. 102-2호 (달동)개인
62023-3700160-05-6-000742023-울산남구-0074이**이마트24 R울산신정센터점울산광역시 남구 신정동 149-4 영남유통울산광역시 남구 신정로116번길 23. 영남유통 (신정동)개인
72023-3700160-05-6-000732023-울산남구-0073김**세븐일레븐 울산달동베스트점울산광역시 남구 달동 1349-1울산광역시 남구 돋질로230번길 15 (달동)개인
82023-3700160-05-6-000722023-울산남구-0072박**부싯돌 가동울산광역시 남구 달동 879-6울산광역시 남구 삼산로67번길 24. 1층 (달동)개인
92023-3700160-05-6-000712023-울산남구-0071김**지에스(GS)25 울산대학로점울산광역시 남구 무거동 582-16울산광역시 남구 대학로 55. 1층 (무거동)개인
지정번호관리번호대표자명업소명업소지번주소업소도로명주소법인구분
12061989-3700009-05-6-00032김**구내매점울산광역시 남구 부곡동 402-1호
12071989-3700009-05-6-00023김**울산광역시 남구 매암동 97호
12081989-3700009-05-6-00022권**동양나이론마을금고울산광역시 남구 매암동 588-4호
12091989-3700009-05-6-00021현대정공(주)새마을금고현대정공(주)새마을금고울산광역시 남구 매암동 393호울산광역시 남구 장생포고래로 8 (매암동)
12101989-3700009-05-6-00020김**작천상회울산광역시 남구 매암동 385-16호
12111989-3700009-05-6-00019안**울산광역시 남구 매암동 379-77호
12121989-3700009-05-6-00018차**동성철물점울산광역시 남구 매암동 308-8호
12131989-3700009-05-6-00015이**남아상회울산광역시 남구 매암동 126-1호
12141989-3700009-05-6-00014심**울산광역시 남구 두왕동 398-2호
12151989-3700009-05-6-00002이**선경비디오울산광역시 남구 신정동 1627-28호