Overview

Dataset statistics

Number of variables2
Number of observations144
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.4 KiB
Average record size in memory16.9 B

Variable types

Text2

Dataset

Description전라남도 여수시 관내에 위치한 옥외광고(간판, 디지털광고물, 입간판, 벽보, 전단, 현수막 등)를 제작 및 취급하는 업체 현황에 관한 데이터로 업소명, 소재지주소 데이터를 제공합니다.
Author전라남도 여수시
URLhttps://www.data.go.kr/data/15126490/fileData.do

Alerts

업소명 has unique valuesUnique

Reproduction

Analysis started2024-03-14 12:15:15.045877
Analysis finished2024-03-14 12:15:15.659814
Duration0.61 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

업소명
Text

UNIQUE 

Distinct144
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-14T21:15:16.547284image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length18
Median length12
Mean length5.7708333
Min length2

Characters and Unicode

Total characters831
Distinct characters193
Distinct categories6 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique144 ?
Unique (%)100.0%

Sample

1st row(주)여수 비엠티
2nd row디자인상상
3rd row세한 SㆍN
4th row(주)소리기획
5th rowC&S산업
ValueCountFrequency (%)
주식회사 5
 
3.0%
디자인 4
 
2.4%
유한회사 2
 
1.2%
수공산업 1
 
0.6%
하늘산업(주 1
 
0.6%
주)빌탑 1
 
0.6%
탑광고사 1
 
0.6%
열린디자인 1
 
0.6%
태화산업 1
 
0.6%
아이큐기획 1
 
0.6%
Other values (146) 146
89.0%
2024-03-14T21:15:18.052816image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
인 45
 
5.4%
광 39
 
4.7%
고 37
 
4.5%
디 36
 
4.3%
자 35
 
4.2%
기 31
 
3.7%
획 27
 
3.2%
주 22
 
2.6%
( 20
 
2.4%
) 20
 
2.4%
Other values (183) 519
62.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 760
91.5%
Open Punctuation 20
 
2.4%
Close Punctuation 20
 
2.4%
Space Separator 20
 
2.4%
Uppercase Letter 7
 
0.8%
Other Punctuation 4
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
인 45
 
5.9%
광 39
 
5.1%
고 37
 
4.9%
디 36
 
4.7%
자 35
 
4.6%
기 31
 
4.1%
획 27
 
3.6%
주 22
 
2.9%
사 20
 
2.6%
아 14
 
1.8%
Other values (173) 454
59.7%
Uppercase Letter
ValueCountFrequency (%)
D 2
28.6%
S 2
28.6%
J 1
14.3%
N 1
14.3%
C 1
14.3%
Other Punctuation
ValueCountFrequency (%)
& 3
75.0%
. 1
 
25.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Space Separator
ValueCountFrequency (%)
20
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 760
91.5%
Common 64
 
7.7%
Latin 7
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
인 45
 
5.9%
광 39
 
5.1%
고 37
 
4.9%
디 36
 
4.7%
자 35
 
4.6%
기 31
 
4.1%
획 27
 
3.6%
주 22
 
2.9%
사 20
 
2.6%
아 14
 
1.8%
Other values (173) 454
59.7%
Common
ValueCountFrequency (%)
( 20
31.2%
) 20
31.2%
20
31.2%
& 3
 
4.7%
. 1
 
1.6%
Latin
ValueCountFrequency (%)
D 2
28.6%
S 2
28.6%
J 1
14.3%
N 1
14.3%
C 1
14.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 759
91.3%
ASCII 71
 
8.5%
Compat Jamo 1
 
0.1%

Most frequent character per block

Hangul
ValueCountFrequency (%)
인 45
 
5.9%
광 39
 
5.1%
고 37
 
4.9%
디 36
 
4.7%
자 35
 
4.6%
기 31
 
4.1%
획 27
 
3.6%
주 22
 
2.9%
사 20
 
2.6%
아 14
 
1.8%
Other values (172) 453
59.7%
ASCII
ValueCountFrequency (%)
( 20
28.2%
) 20
28.2%
20
28.2%
& 3
 
4.2%
D 2
 
2.8%
S 2
 
2.8%
J 1
 
1.4%
. 1
 
1.4%
N 1
 
1.4%
C 1
 
1.4%
Compat Jamo
ValueCountFrequency (%)
ㆍ 1
100.0%

영업장주소
Text

Distinct135
Distinct (%)93.8%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2024-03-14T21:15:19.529869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length38
Median length33
Mean length23.743056
Min length20

Characters and Unicode

Total characters3419
Distinct characters123
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique126 ?
Unique (%)87.5%

Sample

1st row전라남도 여수시 만성로 27 (둔덕동)
2nd row전라남도 여수시 양지3길 2 (미평동)
3rd row전라남도 여수시 선소로 140 (신기동)
4th row전라남도 여수시 여서1로 108 (여서동)
5th row전라남도 여수시 신기남4길 17 (신기동)
ValueCountFrequency (%)
전라남도 144
19.3%
여수시 144
19.3%
신기동 33
 
4.4%
화장동 18
 
2.4%
좌수영로 15
 
2.0%
미평동 9
 
1.2%
선원동 8
 
1.1%
만성로 7
 
0.9%
학동 7
 
0.9%
둔덕동 6
 
0.8%
Other values (229) 356
47.7%
2024-03-14T21:15:21.429919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
617
18.0%
수 172
 
5.0%
남 167
 
4.9%
여 162
 
4.7%
시 151
 
4.4%
라 148
 
4.3%
전 147
 
4.3%
도 145
 
4.2%
동 145
 
4.2%
( 137
 
4.0%
Other values (113) 1428
41.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1978
57.9%
Space Separator 617
 
18.0%
Decimal Number 476
 
13.9%
Open Punctuation 137
 
4.0%
Close Punctuation 137
 
4.0%
Dash Punctuation 55
 
1.6%
Other Punctuation 19
 
0.6%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
수 172
 
8.7%
남 167
 
8.4%
여 162
 
8.2%
시 151
 
7.6%
라 148
 
7.5%
전 147
 
7.4%
도 145
 
7.3%
동 145
 
7.3%
로 76
 
3.8%
길 68
 
3.4%
Other values (98) 597
30.2%
Decimal Number
ValueCountFrequency (%)
1 135
28.4%
2 70
14.7%
4 43
 
9.0%
5 42
 
8.8%
3 40
 
8.4%
6 36
 
7.6%
0 31
 
6.5%
8 29
 
6.1%
9 27
 
5.7%
7 23
 
4.8%
Space Separator
ValueCountFrequency (%)
617
100.0%
Open Punctuation
ValueCountFrequency (%)
( 137
100.0%
Close Punctuation
ValueCountFrequency (%)
) 137
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 55
100.0%
Other Punctuation
ValueCountFrequency (%)
, 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1978
57.9%
Common 1441
42.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
수 172
 
8.7%
남 167
 
8.4%
여 162
 
8.2%
시 151
 
7.6%
라 148
 
7.5%
전 147
 
7.4%
도 145
 
7.3%
동 145
 
7.3%
로 76
 
3.8%
길 68
 
3.4%
Other values (98) 597
30.2%
Common
ValueCountFrequency (%)
617
42.8%
( 137
 
9.5%
) 137
 
9.5%
1 135
 
9.4%
2 70
 
4.9%
- 55
 
3.8%
4 43
 
3.0%
5 42
 
2.9%
3 40
 
2.8%
6 36
 
2.5%
Other values (5) 129
 
9.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1978
57.9%
ASCII 1441
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
617
42.8%
( 137
 
9.5%
) 137
 
9.5%
1 135
 
9.4%
2 70
 
4.9%
- 55
 
3.8%
4 43
 
3.0%
5 42
 
2.9%
3 40
 
2.8%
6 36
 
2.5%
Other values (5) 129
 
9.0%
Hangul
ValueCountFrequency (%)
수 172
 
8.7%
남 167
 
8.4%
여 162
 
8.2%
시 151
 
7.6%
라 148
 
7.5%
전 147
 
7.4%
도 145
 
7.3%
동 145
 
7.3%
로 76
 
3.8%
길 68
 
3.4%
Other values (98) 597
30.2%

Missing values

2024-03-14T21:15:15.366887image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T21:15:15.574429image/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

업소명영업장주소
0(주)여수 비엠티전라남도 여수시 만성로 27 (둔덕동)
1디자인상상전라남도 여수시 양지3길 2 (미평동)
2세한 SㆍN전라남도 여수시 선소로 140 (신기동)
3(주)소리기획전라남도 여수시 여서1로 108 (여서동)
4C&S산업전라남도 여수시 신기남4길 17 (신기동)
5세기산업(주)여수지점전라남도 여수시 율촌면 당머리길 18
6에이플랜전라남도 여수시 여서1로 41, 2층 201호 (여서동)
7디자인 오름전라남도 여수시 웅천중앙로 109, 1층 (웅천동)
8동서디자인전라남도 여수시 안산3길 29-14 (안산동)
9시선전라남도 여수시 웅남1길 20-70 (웅천동)
업소명영업장주소
134공작소전라남도 여수시 선소로 144 (신기동)
135시대광고사전라남도 여수시 진남로 114-1 (동산동)
136디자인샵전라남도 여수시 쌍봉로 124 (학동)
137백제광고사전라남도 여수시 허문정2길 28 (문수동)
138디자인닷컴전라남도 여수시 대통2길 9-4 (화장동)
139하나기획전라남도 여수시 신월로 432 (신월동)
140대림시공산업전라남도 여수시 망마로 105-1 (신기동)
141아시아광고전라남도 여수시 대교로 59 (봉산동)
142이레기획전라남도 여수시 무선로 109 (선원동)
143광고시장전라남도 여수시 쌍봉로 116-1 (학동)