Overview

Dataset statistics

Number of variables6
Number of observations281
Missing cells3
Missing cells (%)0.2%
Duplicate rows1
Duplicate rows (%)0.4%
Total size in memory13.3 KiB
Average record size in memory48.5 B

Variable types

DateTime1
Text4
Categorical1

Dataset

Description울산광역시 중구 내 소재한 옥외광고업체의 소재지, 업소명, 성명, 영업내용, 등록연월일 등에 관한 데이터를 제공합니다.
Author울산광역시 중구
URLhttps://www.data.go.kr/data/15025507/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
Dataset has 1 (0.4%) duplicate rowsDuplicates

Reproduction

Analysis started2023-12-12 04:32:44.447898
Analysis finished2023-12-12 04:32:45.061958
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

등록연월일
Date

Distinct249
Distinct (%)88.9%
Missing1
Missing (%)0.4%
Memory size2.3 KiB
Minimum1988-05-04 00:00:00
Maximum2023-07-11 00:00:00
2023-12-12T13:32:45.171304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T13:32:45.344631image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

업소명
Text

Distinct266
Distinct (%)94.7%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-12T13:32:45.754880image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length15
Mean length5.3772242
Min length1

Characters and Unicode

Total characters1511
Distinct characters258
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

Unique251 ?
Unique (%)89.3%

Sample

1st row울산기업
2nd row바른디엔에스
3rd row거화애드주식회사
4th row간판스토리
5th row디자인엔터 이플러스
ValueCountFrequency (%)
아이캔디자인 2
 
0.7%
천상기업 2
 
0.7%
대영광고 2
 
0.7%
광고디자인 2
 
0.7%
디자인 2
 
0.7%
서울디자인 2
 
0.7%
주식회사 2
 
0.7%
킴스디자인 2
 
0.7%
거무기획 2
 
0.7%
밝은세상밝은거리 2
 
0.7%
Other values (268) 277
93.3%
2023-12-12T13:32:46.298957image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
광 112
 
7.4%
고 105
 
6.9%
사 66
 
4.4%
인 58
 
3.8%
기 56
 
3.7%
디 55
 
3.6%
자 46
 
3.0%
획 31
 
2.1%
드 28
 
1.9%
업 28
 
1.9%
Other values (248) 926
61.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1412
93.4%
Uppercase Letter 26
 
1.7%
Space Separator 16
 
1.1%
Open Punctuation 15
 
1.0%
Close Punctuation 15
 
1.0%
Lowercase Letter 14
 
0.9%
Decimal Number 7
 
0.5%
Other Punctuation 6
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
광 112
 
7.9%
고 105
 
7.4%
사 66
 
4.7%
인 58
 
4.1%
기 56
 
4.0%
디 55
 
3.9%
자 46
 
3.3%
획 31
 
2.2%
드 28
 
2.0%
업 28
 
2.0%
Other values (214) 827
58.6%
Uppercase Letter
ValueCountFrequency (%)
S 3
11.5%
N 3
11.5%
P 3
11.5%
M 3
11.5%
C 2
7.7%
R 2
7.7%
X 2
7.7%
K 2
7.7%
D 1
 
3.8%
T 1
 
3.8%
Other values (4) 4
15.4%
Lowercase Letter
ValueCountFrequency (%)
r 3
21.4%
c 2
14.3%
t 2
14.3%
s 1
 
7.1%
k 1
 
7.1%
i 1
 
7.1%
e 1
 
7.1%
j 1
 
7.1%
o 1
 
7.1%
p 1
 
7.1%
Decimal Number
ValueCountFrequency (%)
2 3
42.9%
4 1
 
14.3%
1 1
 
14.3%
0 1
 
14.3%
5 1
 
14.3%
Other Punctuation
ValueCountFrequency (%)
. 5
83.3%
, 1
 
16.7%
Space Separator
ValueCountFrequency (%)
16
100.0%
Open Punctuation
ValueCountFrequency (%)
( 15
100.0%
Close Punctuation
ValueCountFrequency (%)
) 15
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1412
93.4%
Common 59
 
3.9%
Latin 40
 
2.6%

Most frequent character per script

Hangul
ValueCountFrequency (%)
광 112
 
7.9%
고 105
 
7.4%
사 66
 
4.7%
인 58
 
4.1%
기 56
 
4.0%
디 55
 
3.9%
자 46
 
3.3%
획 31
 
2.2%
드 28
 
2.0%
업 28
 
2.0%
Other values (214) 827
58.6%
Latin
ValueCountFrequency (%)
S 3
 
7.5%
N 3
 
7.5%
P 3
 
7.5%
M 3
 
7.5%
r 3
 
7.5%
C 2
 
5.0%
R 2
 
5.0%
X 2
 
5.0%
c 2
 
5.0%
K 2
 
5.0%
Other values (14) 15
37.5%
Common
ValueCountFrequency (%)
16
27.1%
( 15
25.4%
) 15
25.4%
. 5
 
8.5%
2 3
 
5.1%
4 1
 
1.7%
, 1
 
1.7%
1 1
 
1.7%
0 1
 
1.7%
5 1
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1412
93.4%
ASCII 99
 
6.6%

Most frequent character per block

Hangul
ValueCountFrequency (%)
광 112
 
7.9%
고 105
 
7.4%
사 66
 
4.7%
인 58
 
4.1%
기 56
 
4.0%
디 55
 
3.9%
자 46
 
3.3%
획 31
 
2.2%
드 28
 
2.0%
업 28
 
2.0%
Other values (214) 827
58.6%
ASCII
ValueCountFrequency (%)
16
16.2%
( 15
15.2%
) 15
15.2%
. 5
 
5.1%
S 3
 
3.0%
N 3
 
3.0%
P 3
 
3.0%
M 3
 
3.0%
2 3
 
3.0%
r 3
 
3.0%
Other values (24) 30
30.3%

성명
Text

Distinct260
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-12T13:32:46.774523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length3
Mean length3.13879
Min length2

Characters and Unicode

Total characters882
Distinct characters173
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

Unique240 ?
Unique (%)85.4%

Sample

1st row최영조
2nd row송건욱
3rd row배려진
4th row임백용
5th row황용익
ValueCountFrequency (%)
유도열 3
 
1.1%
이지형 2
 
0.7%
심판영 2
 
0.7%
김영수 2
 
0.7%
엄영희 2
 
0.7%
신영민 2
 
0.7%
이선미 2
 
0.7%
최정훈 2
 
0.7%
배강수 2
 
0.7%
권해경 2
 
0.7%
Other values (252) 262
92.6%
2023-12-12T13:32:47.429339image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
김 55
 
6.2%
이 48
 
5.4%
영 32
 
3.6%
정 30
 
3.4%
박 25
 
2.8%
수 21
 
2.4%
호 18
 
2.0%
상 17
 
1.9%
용 16
 
1.8%
최 15
 
1.7%
Other values (163) 605
68.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 873
99.0%
Close Punctuation 3
 
0.3%
Open Punctuation 3
 
0.3%
Space Separator 2
 
0.2%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
김 55
 
6.3%
이 48
 
5.5%
영 32
 
3.7%
정 30
 
3.4%
박 25
 
2.9%
수 21
 
2.4%
호 18
 
2.1%
상 17
 
1.9%
용 16
 
1.8%
최 15
 
1.7%
Other values (159) 596
68.3%
Close Punctuation
ValueCountFrequency (%)
) 3
100.0%
Open Punctuation
ValueCountFrequency (%)
( 3
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 873
99.0%
Common 9
 
1.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
김 55
 
6.3%
이 48
 
5.5%
영 32
 
3.7%
정 30
 
3.4%
박 25
 
2.9%
수 21
 
2.4%
호 18
 
2.1%
상 17
 
1.9%
용 16
 
1.8%
최 15
 
1.7%
Other values (159) 596
68.3%
Common
ValueCountFrequency (%)
) 3
33.3%
( 3
33.3%
2
22.2%
, 1
 
11.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 873
99.0%
ASCII 9
 
1.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
김 55
 
6.3%
이 48
 
5.5%
영 32
 
3.7%
정 30
 
3.4%
박 25
 
2.9%
수 21
 
2.4%
호 18
 
2.1%
상 17
 
1.9%
용 16
 
1.8%
최 15
 
1.7%
Other values (159) 596
68.3%
ASCII
ValueCountFrequency (%)
) 3
33.3%
( 3
33.3%
2
22.2%
, 1
 
11.1%

영업장소재지
Text

Distinct260
Distinct (%)92.5%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-12-12T13:32:47.889138image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length41
Mean length23.145907
Min length18

Characters and Unicode

Total characters6504
Distinct characters150
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique243 ?
Unique (%)86.5%

Sample

1st row울산광역시 중구 한결길 70 (교동)
2nd row울산광역시 중구 일중로 32 (태화동)
3rd row울산광역시 중구 서원3길 5, 1층 (반구동)
4th row울산광역시 중구 운곡6길 13 (다운동)
5th row울산광역시 중구 도화골5길 13, 3층 (복산동)
ValueCountFrequency (%)
울산광역시 281
20.7%
중구 278
20.5%
반구동 46
 
3.4%
태화동 44
 
3.2%
학성동 27
 
2.0%
복산동 18
 
1.3%
남외동 17
 
1.3%
우정동 17
 
1.3%
다운동 16
 
1.2%
성안동 15
 
1.1%
Other values (341) 597
44.0%
2023-12-12T13:32:48.575866image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1311
20.2%
구 347
 
5.3%
산 326
 
5.0%
동 294
 
4.5%
중 289
 
4.4%
시 283
 
4.4%
울 281
 
4.3%
역 281
 
4.3%
광 281
 
4.3%
1 234
 
3.6%
Other values (140) 2577
39.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 3722
57.2%
Space Separator 1311
 
20.2%
Decimal Number 955
 
14.7%
Open Punctuation 190
 
2.9%
Close Punctuation 190
 
2.9%
Dash Punctuation 100
 
1.5%
Other Punctuation 31
 
0.5%
Uppercase Letter 4
 
0.1%
Letter Number 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 347
 
9.3%
산 326
 
8.8%
동 294
 
7.9%
중 289
 
7.8%
시 283
 
7.6%
울 281
 
7.5%
역 281
 
7.5%
광 281
 
7.5%
길 100
 
2.7%
번 93
 
2.5%
Other values (121) 1147
30.8%
Decimal Number
ValueCountFrequency (%)
1 234
24.5%
2 140
14.7%
3 106
11.1%
4 103
10.8%
5 74
 
7.7%
8 69
 
7.2%
6 69
 
7.2%
7 59
 
6.2%
0 54
 
5.7%
9 47
 
4.9%
Uppercase Letter
ValueCountFrequency (%)
B 2
50.0%
L 1
25.0%
N 1
25.0%
Space Separator
ValueCountFrequency (%)
1311
100.0%
Open Punctuation
ValueCountFrequency (%)
( 190
100.0%
Close Punctuation
ValueCountFrequency (%)
) 190
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 100
100.0%
Other Punctuation
ValueCountFrequency (%)
, 31
100.0%
Letter Number
ValueCountFrequency (%)
Ⅲ 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 3722
57.2%
Common 2777
42.7%
Latin 5
 
0.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 347
 
9.3%
산 326
 
8.8%
동 294
 
7.9%
중 289
 
7.8%
시 283
 
7.6%
울 281
 
7.5%
역 281
 
7.5%
광 281
 
7.5%
길 100
 
2.7%
번 93
 
2.5%
Other values (121) 1147
30.8%
Common
ValueCountFrequency (%)
1311
47.2%
1 234
 
8.4%
( 190
 
6.8%
) 190
 
6.8%
2 140
 
5.0%
3 106
 
3.8%
4 103
 
3.7%
- 100
 
3.6%
5 74
 
2.7%
8 69
 
2.5%
Other values (5) 260
 
9.4%
Latin
ValueCountFrequency (%)
B 2
40.0%
L 1
20.0%
N 1
20.0%
Ⅲ 1
20.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 3722
57.2%
ASCII 2781
42.8%
Number Forms 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1311
47.1%
1 234
 
8.4%
( 190
 
6.8%
) 190
 
6.8%
2 140
 
5.0%
3 106
 
3.8%
4 103
 
3.7%
- 100
 
3.6%
5 74
 
2.7%
8 69
 
2.5%
Other values (8) 264
 
9.5%
Hangul
ValueCountFrequency (%)
구 347
 
9.3%
산 326
 
8.8%
동 294
 
7.9%
중 289
 
7.8%
시 283
 
7.6%
울 281
 
7.5%
역 281
 
7.5%
광 281
 
7.5%
길 100
 
2.7%
번 93
 
2.5%
Other values (121) 1147
30.8%
Number Forms
ValueCountFrequency (%)
Ⅲ 1
100.0%

영업내용
Text

Distinct103
Distinct (%)36.9%
Missing2
Missing (%)0.7%
Memory size2.3 KiB
2023-12-12T13:32:48.918929image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length24
Median length23
Mean length9.6236559
Min length1

Characters and Unicode

Total characters2685
Distinct characters93
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique84 ?
Unique (%)30.1%

Sample

1st row광고물제작 및 시공
2nd row간판제작, 전시행사
3rd row옥외광고물제작,광고물기획.광고물디자인
4th row간판 및 광고물 판매, 간판 설치 및 철거
5th row옥외광고물 제작
ValueCountFrequency (%)
및 158
21.5%
시공 129
17.6%
광고물제작 127
17.3%
제작 49
 
6.7%
광고물 28
 
3.8%
간판 25
 
3.4%
간판제작 22
 
3.0%
옥외광고물 20
 
2.7%
등 13
 
1.8%
간판제조 13
 
1.8%
Other values (81) 151
20.5%
2023-12-12T13:32:49.476018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
457
17.0%
제 239
8.9%
광 238
8.9%
고 238
8.9%
작 211
 
7.9%
물 202
 
7.5%
및 166
 
6.2%
시 137
 
5.1%
공 137
 
5.1%
판 75
 
2.8%
Other values (83) 585
21.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2147
80.0%
Space Separator 457
 
17.0%
Other Punctuation 66
 
2.5%
Close Punctuation 7
 
0.3%
Open Punctuation 7
 
0.3%
Dash Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
제 239
11.1%
광 238
11.1%
고 238
11.1%
작 211
9.8%
물 202
9.4%
및 166
 
7.7%
시 137
 
6.4%
공 137
 
6.4%
판 75
 
3.5%
간 72
 
3.4%
Other values (76) 432
20.1%
Other Punctuation
ValueCountFrequency (%)
, 58
87.9%
. 6
 
9.1%
· 2
 
3.0%
Space Separator
ValueCountFrequency (%)
457
100.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2147
80.0%
Common 538
 
20.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
제 239
11.1%
광 238
11.1%
고 238
11.1%
작 211
9.8%
물 202
9.4%
및 166
 
7.7%
시 137
 
6.4%
공 137
 
6.4%
판 75
 
3.5%
간 72
 
3.4%
Other values (76) 432
20.1%
Common
ValueCountFrequency (%)
457
84.9%
, 58
 
10.8%
) 7
 
1.3%
( 7
 
1.3%
. 6
 
1.1%
· 2
 
0.4%
- 1
 
0.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2147
80.0%
ASCII 536
 
20.0%
None 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
457
85.3%
, 58
 
10.8%
) 7
 
1.3%
( 7
 
1.3%
. 6
 
1.1%
- 1
 
0.2%
Hangul
ValueCountFrequency (%)
제 239
11.1%
광 238
11.1%
고 238
11.1%
작 211
9.8%
물 202
9.4%
및 166
 
7.7%
시 137
 
6.4%
공 137
 
6.4%
판 75
 
3.5%
간 72
 
3.4%
Other values (76) 432
20.1%
None
ValueCountFrequency (%)
· 2
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.4%
Missing0
Missing (%)0.0%
Memory size2.3 KiB
2023-09-16
281 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-09-16
2nd row2023-09-16
3rd row2023-09-16
4th row2023-09-16
5th row2023-09-16

Common Values

ValueCountFrequency (%)
2023-09-16 281
100.0%

Length

2023-12-12T13:32:49.627826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T13:32:49.719823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-09-16 281
100.0%

Missing values

2023-12-12T13:32:44.789155image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T13:32:44.902652image/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.
2023-12-12T13:32:44.990497image/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

등록연월일업소명성명영업장소재지영업내용데이터기준일자
02017-11-17울산기업최영조울산광역시 중구 한결길 70 (교동)광고물제작 및 시공2023-09-16
12019-05-14바른디엔에스송건욱울산광역시 중구 일중로 32 (태화동)간판제작, 전시행사2023-09-16
22023-07-11거화애드주식회사배려진울산광역시 중구 서원3길 5, 1층 (반구동)옥외광고물제작,광고물기획.광고물디자인2023-09-16
32023-06-27간판스토리임백용울산광역시 중구 운곡6길 13 (다운동)간판 및 광고물 판매, 간판 설치 및 철거2023-09-16
42023-06-12디자인엔터 이플러스황용익울산광역시 중구 도화골5길 13, 3층 (복산동)옥외광고물 제작2023-09-16
52009-01-07청솔광고김현숙울산광역시 중구 번영로 346 (학산동)광고물제작2023-09-16
62023-05-31운주애드이희화울산광역시 중구 번영로 631-1 (남외동)광고물 제작 및 디자인2023-09-16
72023-05-01턴온디자인윤서연울산광역시 중구 손골5길 10, 1층 (복산동)옥외광고물 디자인2023-09-16
82022-08-02간판왕조일우울산광역시 중구 명난로 7 (태화동)제조업간판 및 광고물 제조업2023-09-16
92011-04-29거화애드주식회사우명수울산광역시 중구 서원3길 5, 1층 (반구동)옥외광고물제작,광고물기획.광고물디자인2023-09-16
등록연월일업소명성명영업장소재지영업내용데이터기준일자
2711990-01-12신진아크릴최해진울산광역시 중구 성남동 172-9번지광고물제작 및 시공2023-09-16
2721989-11-01예희공사갈창근울산광역시 중구 약사동 622-1번지광고물제작 및 시공2023-09-16
2731989-03-23대신광고사정윤영울산광역시 중구 염포로 62 (반구동)광고물제작 및 시공2023-09-16
2741988-06-13무룡광고사한용선울산광역시 중구 학성1길 38 (학성동)광고물제작 및 시공2023-09-16
2751988-06-13성화인테리어한용선울산광역시 중구 성남동 191-44번지광고물제작 및 시공2023-09-16
2761988-05-06개척사김영탁울산광역시 중구 우정동 168번지광고물제작 및 시공2023-09-16
2771988-05-06국도광고이일울산광역시 중구 우정동 276-50번지광고물제작 및 시공2023-09-16
2781988-05-06영남광고사김시태울산광역시 중구 구교로 42 (학산동)광고물제작 및 시공2023-09-16
2791988-05-06파리광고이환우울산광역시 중구 학산동 92-4번지광고물제작 및 시공2023-09-16
2801988-05-06계명광고사박신웅울산광역시 중구 옥교동 310-5번지광고물 제작 및 시공2023-09-16

Duplicate rows

Most frequently occurring

등록연월일업소명성명영업장소재지영업내용데이터기준일자# duplicates
02001-12-18거무기획이지형울산광역시 중구 다운로 61 (다운동)옥외광고업2023-09-162