Overview

Dataset statistics

Number of variables11
Number of observations24
Missing cells7
Missing cells (%)2.7%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.2 KiB
Average record size in memory94.3 B

Variable types

Numeric1
Text6
DateTime1
Categorical3

Dataset

Description관내 옥외광고물을 전담하는 업체 현황에 대한 데이터로 사업장명, 주소, 인허가일자, 영업상태 등의 정보를 포함한다
Author울산광역시 동구
URLhttps://www.data.go.kr/data/3080265/fileData.do

Alerts

영업상태명 has constant value ""Constant
담당기관 has constant value ""Constant
연락처 has constant value ""Constant
전화번호 has 7 (29.2%) missing valuesMissing
번호 has unique valuesUnique
사업장명 has unique valuesUnique
인허가번호 has unique valuesUnique

Reproduction

Analysis started2024-03-14 23:26:28.053809
Analysis finished2024-03-14 23:26:29.640108
Duration1.59 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

번호
Real number (ℝ)

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean12.5
Minimum1
Maximum24
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size344.0 B
2024-03-15T08:26:29.829226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile2.15
Q16.75
median12.5
Q318.25
95-th percentile22.85
Maximum24
Range23
Interquartile range (IQR)11.5

Descriptive statistics

Standard deviation7.0710678
Coefficient of variation (CV)0.56568542
Kurtosis-1.2
Mean12.5
Median Absolute Deviation (MAD)6
Skewness0
Sum300
Variance50
MonotonicityStrictly increasing
2024-03-15T08:26:30.260375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=24)
ValueCountFrequency (%)
1 1
 
4.2%
14 1
 
4.2%
24 1
 
4.2%
23 1
 
4.2%
22 1
 
4.2%
21 1
 
4.2%
20 1
 
4.2%
19 1
 
4.2%
18 1
 
4.2%
17 1
 
4.2%
Other values (14) 14
58.3%
ValueCountFrequency (%)
1 1
4.2%
2 1
4.2%
3 1
4.2%
4 1
4.2%
5 1
4.2%
6 1
4.2%
7 1
4.2%
8 1
4.2%
9 1
4.2%
10 1
4.2%
ValueCountFrequency (%)
24 1
4.2%
23 1
4.2%
22 1
4.2%
21 1
4.2%
20 1
4.2%
19 1
4.2%
18 1
4.2%
17 1
4.2%
16 1
4.2%
15 1
4.2%

사업장명
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size320.0 B
2024-03-15T08:26:31.130000image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length15
Median length8
Mean length5.25
Min length2

Characters and Unicode

Total characters126
Distinct characters71
Distinct categories4 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique24 ?
Unique (%)100.0%

Sample

1st row신용사
2nd row(주)레디메이드
3rd row신진광고
4th row고려통상
5th row디자인에덴
ValueCountFrequency (%)
신용사 1
 
4.0%
서울애드 1
 
4.0%
제일인쇄기획 1
 
4.0%
현대애드월드 1
 
4.0%
소망스케치 1
 
4.0%
화진광고산업 1
 
4.0%
제일기획 1
 
4.0%
삼원기획 1
 
4.0%
혁신아트 1
 
4.0%
조은디자인 1
 
4.0%
Other values (15) 15
60.0%
2024-03-15T08:26:32.618029image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
8
 
6.3%
8
 
6.3%
6
 
4.8%
6
 
4.8%
5
 
4.0%
5
 
4.0%
4
 
3.2%
3
 
2.4%
3
 
2.4%
3
 
2.4%
Other values (61) 75
59.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 123
97.6%
Close Punctuation 1
 
0.8%
Open Punctuation 1
 
0.8%
Space Separator 1
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
8
 
6.5%
8
 
6.5%
6
 
4.9%
6
 
4.9%
5
 
4.1%
5
 
4.1%
4
 
3.3%
3
 
2.4%
3
 
2.4%
3
 
2.4%
Other values (58) 72
58.5%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 123
97.6%
Common 3
 
2.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
8
 
6.5%
8
 
6.5%
6
 
4.9%
6
 
4.9%
5
 
4.1%
5
 
4.1%
4
 
3.3%
3
 
2.4%
3
 
2.4%
3
 
2.4%
Other values (58) 72
58.5%
Common
ValueCountFrequency (%)
) 1
33.3%
( 1
33.3%
1
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 123
97.6%
ASCII 3
 
2.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
8
 
6.5%
8
 
6.5%
6
 
4.9%
6
 
4.9%
5
 
4.1%
5
 
4.1%
4
 
3.3%
3
 
2.4%
3
 
2.4%
3
 
2.4%
Other values (58) 72
58.5%
ASCII
ValueCountFrequency (%)
) 1
33.3%
( 1
33.3%
1
33.3%
Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size320.0 B
2024-03-15T08:26:33.477639image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length36
Median length24
Mean length24.833333
Min length22

Characters and Unicode

Total characters596
Distinct characters44
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique22 ?
Unique (%)91.7%

Sample

1st row울산광역시 동구 방어동 910번지 17호
2nd row울산광역시 동구 일산동 944번지 6호
3rd row울산광역시 동구 방어동 1007번지 11호
4th row울산광역시 동구 방어동 121번지 14호
5th row울산광역시 동구 화정동 168번지 19호
ValueCountFrequency (%)
울산광역시 24
19.2%
동구 24
19.2%
방어동 11
 
8.8%
일산동 5
 
4.0%
화정동 4
 
3.2%
19호 2
 
1.6%
944번지 2
 
1.6%
4호 2
 
1.6%
서부동 2
 
1.6%
전하동 2
 
1.6%
Other values (41) 47
37.6%
2024-03-15T08:26:34.487214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
146
24.5%
48
 
8.1%
29
 
4.9%
1 26
 
4.4%
24
 
4.0%
24
 
4.0%
24
 
4.0%
24
 
4.0%
24
 
4.0%
24
 
4.0%
Other values (34) 203
34.1%

Most occurring categories

ValueCountFrequency (%)
Other Letter 335
56.2%
Space Separator 146
24.5%
Decimal Number 115
 
19.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
48
14.3%
29
8.7%
24
 
7.2%
24
 
7.2%
24
 
7.2%
24
 
7.2%
24
 
7.2%
24
 
7.2%
24
 
7.2%
24
 
7.2%
Other values (23) 66
19.7%
Decimal Number
ValueCountFrequency (%)
1 26
22.6%
4 14
12.2%
0 11
9.6%
2 10
 
8.7%
5 10
 
8.7%
9 10
 
8.7%
3 10
 
8.7%
8 9
 
7.8%
7 8
 
7.0%
6 7
 
6.1%
Space Separator
ValueCountFrequency (%)
146
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 335
56.2%
Common 261
43.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
48
14.3%
29
8.7%
24
 
7.2%
24
 
7.2%
24
 
7.2%
24
 
7.2%
24
 
7.2%
24
 
7.2%
24
 
7.2%
24
 
7.2%
Other values (23) 66
19.7%
Common
ValueCountFrequency (%)
146
55.9%
1 26
 
10.0%
4 14
 
5.4%
0 11
 
4.2%
2 10
 
3.8%
5 10
 
3.8%
9 10
 
3.8%
3 10
 
3.8%
8 9
 
3.4%
7 8
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 335
56.2%
ASCII 261
43.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
146
55.9%
1 26
 
10.0%
4 14
 
5.4%
0 11
 
4.2%
2 10
 
3.8%
5 10
 
3.8%
9 10
 
3.8%
3 10
 
3.8%
8 9
 
3.4%
7 8
 
3.1%
Hangul
ValueCountFrequency (%)
48
14.3%
29
8.7%
24
 
7.2%
24
 
7.2%
24
 
7.2%
24
 
7.2%
24
 
7.2%
24
 
7.2%
24
 
7.2%
24
 
7.2%
Other values (23) 66
19.7%
Distinct23
Distinct (%)95.8%
Missing0
Missing (%)0.0%
Memory size320.0 B
2024-03-15T08:26:35.202712image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length41
Median length31
Mean length23.916667
Min length21

Characters and Unicode

Total characters574
Distinct characters69
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

Unique22 ?
Unique (%)91.7%

Sample

1st row울산광역시 동구 월봉1가길 27 (방어동)
2nd row울산광역시 동구 보성길 73 (일산동)
3rd row울산광역시 동구 화잠3길 13 (방어동)
4th row울산광역시 동구 동진3길 18, 고려통상 (방어동)
5th row울산광역시 동구 대송11길 17-1 (화정동)
ValueCountFrequency (%)
울산광역시 24
19.0%
동구 24
19.0%
방어동 11
 
8.7%
일산동 5
 
4.0%
화정동 4
 
3.2%
13-1 2
 
1.6%
33 2
 
1.6%
방어진순환도로 2
 
1.6%
문재로 2
 
1.6%
서부동 2
 
1.6%
Other values (41) 48
38.1%
2024-03-15T08:26:36.173915image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
102
17.8%
51
 
8.9%
30
 
5.2%
24
 
4.2%
) 24
 
4.2%
24
 
4.2%
( 24
 
4.2%
24
 
4.2%
24
 
4.2%
24
 
4.2%
Other values (59) 223
38.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 346
60.3%
Space Separator 102
 
17.8%
Decimal Number 69
 
12.0%
Close Punctuation 24
 
4.2%
Open Punctuation 24
 
4.2%
Dash Punctuation 6
 
1.0%
Other Punctuation 3
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
51
14.7%
30
 
8.7%
24
 
6.9%
24
 
6.9%
24
 
6.9%
24
 
6.9%
24
 
6.9%
13
 
3.8%
13
 
3.8%
13
 
3.8%
Other values (45) 106
30.6%
Decimal Number
ValueCountFrequency (%)
1 22
31.9%
3 16
23.2%
2 7
 
10.1%
9 5
 
7.2%
4 5
 
7.2%
7 5
 
7.2%
8 4
 
5.8%
5 4
 
5.8%
6 1
 
1.4%
Space Separator
ValueCountFrequency (%)
102
100.0%
Close Punctuation
ValueCountFrequency (%)
) 24
100.0%
Open Punctuation
ValueCountFrequency (%)
( 24
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 6
100.0%
Other Punctuation
ValueCountFrequency (%)
, 3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 346
60.3%
Common 228
39.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
51
14.7%
30
 
8.7%
24
 
6.9%
24
 
6.9%
24
 
6.9%
24
 
6.9%
24
 
6.9%
13
 
3.8%
13
 
3.8%
13
 
3.8%
Other values (45) 106
30.6%
Common
ValueCountFrequency (%)
102
44.7%
) 24
 
10.5%
( 24
 
10.5%
1 22
 
9.6%
3 16
 
7.0%
2 7
 
3.1%
- 6
 
2.6%
9 5
 
2.2%
4 5
 
2.2%
7 5
 
2.2%
Other values (4) 12
 
5.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 346
60.3%
ASCII 228
39.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
102
44.7%
) 24
 
10.5%
( 24
 
10.5%
1 22
 
9.6%
3 16
 
7.0%
2 7
 
3.1%
- 6
 
2.6%
9 5
 
2.2%
4 5
 
2.2%
7 5
 
2.2%
Other values (4) 12
 
5.3%
Hangul
ValueCountFrequency (%)
51
14.7%
30
 
8.7%
24
 
6.9%
24
 
6.9%
24
 
6.9%
24
 
6.9%
24
 
6.9%
13
 
3.8%
13
 
3.8%
13
 
3.8%
Other values (45) 106
30.6%
Distinct20
Distinct (%)83.3%
Missing0
Missing (%)0.0%
Memory size320.0 B
Minimum1997-07-15 00:00:00
Maximum2023-06-08 00:00:00
2024-03-15T08:26:36.475010image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-15T08:26:36.865872image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=20)

영업상태명
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size320.0 B
운영중
24 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
운영중 24
100.0%

Length

2024-03-15T08:26:37.145381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:26:37.322208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
운영중 24
100.0%
Distinct17
Distinct (%)70.8%
Missing0
Missing (%)0.0%
Memory size320.0 B
2024-03-15T08:26:37.884632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length18
Mean length9.9166667
Min length3

Characters and Unicode

Total characters238
Distinct characters43
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

Unique15 ?
Unique (%)62.5%

Sample

1st row간판제작 및 수리
2nd row행사 및 광고 대행업
3rd row간판, 현수막 제작
4th row간판제작 및 수리
5th row옥외광고업(제작업 불가)
ValueCountFrequency (%)
11
18.3%
간판제작 10
16.7%
수리 8
13.3%
제작 3
 
5.0%
광고 3
 
5.0%
간판 2
 
3.3%
간판,현수막 2
 
3.3%
제조 2
 
3.3%
간판제조업 2
 
3.3%
제조업 1
 
1.7%
Other values (16) 16
26.7%
2024-03-15T08:26:38.847901image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
36
15.1%
21
 
8.8%
17
 
7.1%
17
 
7.1%
14
 
5.9%
13
 
5.5%
12
 
5.0%
11
 
4.6%
11
 
4.6%
, 9
 
3.8%
Other values (33) 77
32.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 190
79.8%
Space Separator 36
 
15.1%
Other Punctuation 10
 
4.2%
Open Punctuation 1
 
0.4%
Close Punctuation 1
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
21
 
11.1%
17
 
8.9%
17
 
8.9%
14
 
7.4%
13
 
6.8%
12
 
6.3%
11
 
5.8%
11
 
5.8%
9
 
4.7%
8
 
4.2%
Other values (28) 57
30.0%
Other Punctuation
ValueCountFrequency (%)
, 9
90.0%
. 1
 
10.0%
Space Separator
ValueCountFrequency (%)
36
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 190
79.8%
Common 48
 
20.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
21
 
11.1%
17
 
8.9%
17
 
8.9%
14
 
7.4%
13
 
6.8%
12
 
6.3%
11
 
5.8%
11
 
5.8%
9
 
4.7%
8
 
4.2%
Other values (28) 57
30.0%
Common
ValueCountFrequency (%)
36
75.0%
, 9
 
18.8%
( 1
 
2.1%
) 1
 
2.1%
. 1
 
2.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 190
79.8%
ASCII 48
 
20.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
36
75.0%
, 9
 
18.8%
( 1
 
2.1%
) 1
 
2.1%
. 1
 
2.1%
Hangul
ValueCountFrequency (%)
21
 
11.1%
17
 
8.9%
17
 
8.9%
14
 
7.4%
13
 
6.8%
12
 
6.3%
11
 
5.8%
11
 
5.8%
9
 
4.7%
8
 
4.2%
Other values (28) 57
30.0%

전화번호
Text

MISSING 

Distinct17
Distinct (%)100.0%
Missing7
Missing (%)29.2%
Memory size320.0 B
2024-03-15T08:26:39.535444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length12
Mean length12.176471
Min length12

Characters and Unicode

Total characters207
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

Unique17 ?
Unique (%)100.0%

Sample

1st row070-8872-4697
2nd row052 -252 -6787
3rd row052-267-1977
4th row052-235-2772
5th row052-252-2123
ValueCountFrequency (%)
070-8872-4697 1
 
5.3%
052-233-9904 1
 
5.3%
052-233-7007 1
 
5.3%
052-234-2957 1
 
5.3%
052-234-4071 1
 
5.3%
052-235-7171 1
 
5.3%
052-234-6767 1
 
5.3%
052-233-9916 1
 
5.3%
052-251-1044 1
 
5.3%
052-252-0916 1
 
5.3%
Other values (9) 9
47.4%
2024-03-15T08:26:40.681910image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
2 45
21.7%
- 34
16.4%
0 27
13.0%
5 25
12.1%
7 20
9.7%
3 13
 
6.3%
1 12
 
5.8%
4 9
 
4.3%
9 9
 
4.3%
6 7
 
3.4%
Other values (2) 6
 
2.9%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 171
82.6%
Dash Punctuation 34
 
16.4%
Space Separator 2
 
1.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
2 45
26.3%
0 27
15.8%
5 25
14.6%
7 20
11.7%
3 13
 
7.6%
1 12
 
7.0%
4 9
 
5.3%
9 9
 
5.3%
6 7
 
4.1%
8 4
 
2.3%
Dash Punctuation
ValueCountFrequency (%)
- 34
100.0%
Space Separator
ValueCountFrequency (%)
2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 207
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
2 45
21.7%
- 34
16.4%
0 27
13.0%
5 25
12.1%
7 20
9.7%
3 13
 
6.3%
1 12
 
5.8%
4 9
 
4.3%
9 9
 
4.3%
6 7
 
3.4%
Other values (2) 6
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 207
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
2 45
21.7%
- 34
16.4%
0 27
13.0%
5 25
12.1%
7 20
9.7%
3 13
 
6.3%
1 12
 
5.8%
4 9
 
4.3%
9 9
 
4.3%
6 7
 
3.4%
Other values (2) 6
 
2.9%

인허가번호
Text

UNIQUE 

Distinct24
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size320.0 B
2024-03-15T08:26:41.448952image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length23
Mean length23
Min length23

Characters and Unicode

Total characters552
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

Unique24 ?
Unique (%)100.0%

Sample

1st row1998-3710000-08-2-00048
2nd row2023-3710127-08-5-00002
3rd row2002-3710045-08-2-00002
4th row2000-3710040-08-2-00001
5th row2023-3710127-08-5-00001
ValueCountFrequency (%)
1998-3710000-08-2-00048 1
 
4.2%
2023-3710127-08-5-00002 1
 
4.2%
2005-3710057-08-2-00006 1
 
4.2%
2005-3710057-08-2-00005 1
 
4.2%
2005-3710057-08-2-00004 1
 
4.2%
1997-3710000-08-2-00020 1
 
4.2%
2006-3710057-08-2-00002 1
 
4.2%
1997-3710000-08-2-00035 1
 
4.2%
1997-3710000-08-2-00019 1
 
4.2%
2018-3710083-08-5-00001 1
 
4.2%
Other values (14) 14
58.3%
2024-03-15T08:26:42.910608image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
0 202
36.6%
- 96
17.4%
1 55
 
10.0%
2 45
 
8.2%
7 41
 
7.4%
8 31
 
5.6%
3 30
 
5.4%
5 23
 
4.2%
9 18
 
3.3%
4 8
 
1.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 456
82.6%
Dash Punctuation 96
 
17.4%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
0 202
44.3%
1 55
 
12.1%
2 45
 
9.9%
7 41
 
9.0%
8 31
 
6.8%
3 30
 
6.6%
5 23
 
5.0%
9 18
 
3.9%
4 8
 
1.8%
6 3
 
0.7%
Dash Punctuation
ValueCountFrequency (%)
- 96
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 552
100.0%

Most frequent character per script

Common
ValueCountFrequency (%)
0 202
36.6%
- 96
17.4%
1 55
 
10.0%
2 45
 
8.2%
7 41
 
7.4%
8 31
 
5.6%
3 30
 
5.4%
5 23
 
4.2%
9 18
 
3.3%
4 8
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
ASCII 552
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
0 202
36.6%
- 96
17.4%
1 55
 
10.0%
2 45
 
8.2%
7 41
 
7.4%
8 31
 
5.6%
3 30
 
5.4%
5 23
 
4.2%
9 18
 
3.3%
4 8
 
1.4%

담당기관
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size320.0 B
울산광역시 동구
24 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row울산광역시 동구
2nd row울산광역시 동구
3rd row울산광역시 동구
4th row울산광역시 동구
5th row울산광역시 동구

Common Values

ValueCountFrequency (%)
울산광역시 동구 24
100.0%

Length

2024-03-15T08:26:43.383102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:26:43.721302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
울산광역시 24
50.0%
동구 24
50.0%

연락처
Categorical

CONSTANT 

Distinct1
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size320.0 B
052-209-3807
24 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row052-209-3807
2nd row052-209-3807
3rd row052-209-3807
4th row052-209-3807
5th row052-209-3807

Common Values

ValueCountFrequency (%)
052-209-3807 24
100.0%

Length

2024-03-15T08:26:44.054740image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-03-15T08:26:44.372988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
052-209-3807 24
100.0%

Interactions

2024-03-15T08:26:28.750324image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-15T08:26:44.701074image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
번호사업장명소재지전체주소도로명전체주소인허가일자영업내용전화번호인허가번호
번호1.0001.0000.9190.9190.5620.0001.0001.000
사업장명1.0001.0001.0001.0001.0001.0001.0001.000
소재지전체주소0.9191.0001.0001.0001.0000.9681.0001.000
도로명전체주소0.9191.0001.0001.0001.0000.9681.0001.000
인허가일자0.5621.0001.0001.0001.0000.9781.0001.000
영업내용0.0001.0000.9680.9680.9781.0001.0001.000
전화번호1.0001.0001.0001.0001.0001.0001.0001.000
인허가번호1.0001.0001.0001.0001.0001.0001.0001.000

Missing values

2024-03-15T08:26:28.995858image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-15T08:26:29.401400image/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

번호사업장명소재지전체주소도로명전체주소인허가일자영업상태명영업내용전화번호인허가번호담당기관연락처
01신용사울산광역시 동구 방어동 910번지 17호울산광역시 동구 월봉1가길 27 (방어동)2015-12-18운영중간판제작 및 수리<NA>1998-3710000-08-2-00048울산광역시 동구052-209-3807
12(주)레디메이드울산광역시 동구 일산동 944번지 6호울산광역시 동구 보성길 73 (일산동)2023-06-08운영중행사 및 광고 대행업070-8872-46972023-3710127-08-5-00002울산광역시 동구052-209-3807
23신진광고울산광역시 동구 방어동 1007번지 11호울산광역시 동구 화잠3길 13 (방어동)2008-06-05운영중간판, 현수막 제작<NA>2002-3710045-08-2-00002울산광역시 동구052-209-3807
34고려통상울산광역시 동구 방어동 121번지 14호울산광역시 동구 동진3길 18, 고려통상 (방어동)2022-07-17운영중간판제작 및 수리052 -252 -67872000-3710040-08-2-00001울산광역시 동구052-209-3807
45디자인에덴울산광역시 동구 화정동 168번지 19호울산광역시 동구 대송11길 17-1 (화정동)2023-01-11운영중옥외광고업(제작업 불가)052-267-19772023-3710127-08-5-00001울산광역시 동구052-209-3807
56태양광고울산광역시 동구 화정동 607번지 1호울산광역시 동구 대송로 93 (화정동)1997-07-15운영중간판제작 및 수리052-235-27721997-3710000-08-2-00015울산광역시 동구052-209-3807
67삼성광고기획울산광역시 동구 방어동 480번지 48호울산광역시 동구 문재로 13-1 (방어동)2021-07-21운영중간판제작 및 수리052-252-21231997-3710000-08-2-00014울산광역시 동구052-209-3807
78준광고기획울산광역시 동구 방어동 480번지 48호울산광역시 동구 문재로 13-1 (방어동)2021-07-21운영중현수막게시대관리 및 간판제작<NA>2004-3710057-08-2-00001울산광역시 동구052-209-3807
89울산광역시옥외광고협회동구지부울산광역시 동구 화정동 851번지 3호 현대아파트 상가울산광역시 동구 봉수로 98, 현대아파트 상가 (화정동)2019-06-18운영중광고업<NA>2012-3710083-08-5-00001울산광역시 동구052-209-3807
910우경울산광역시 동구 서부동 315번지 32호울산광역시 동구 옥류로 13 (서부동)2021-04-30운영중간판 및 광고물 제작<NA>2018-3710083-08-5-00002울산광역시 동구052-209-3807
번호사업장명소재지전체주소도로명전체주소인허가일자영업상태명영업내용전화번호인허가번호담당기관연락처
1415동구기획울산광역시 동구 방어동 121번지 4호울산광역시 동구 동진1길 33 (방어동)2018-11-16운영중간판및광고물 제조052-233-99042005-3710057-08-2-00010울산광역시 동구052-209-3807
1516조은디자인울산광역시 동구 일산동 554번지 36호울산광역시 동구 번덕8길 71 (일산동)2018-02-02운영중광고, 간판제작<NA>2018-3710083-08-5-00001울산광역시 동구052-209-3807
1617혁신아트울산광역시 동구 일산동 539번지 22호울산광역시 동구 번덕3길 22 (일산동)1997-07-15운영중간판제조업052-251-10441997-3710000-08-2-00019울산광역시 동구052-209-3807
1718삼원기획울산광역시 동구 방어동 1101번지 19호울산광역시 동구 문현로 15-1 (방어동)1997-07-15운영중간판제작 및 수리052-233-99161997-3710000-08-2-00035울산광역시 동구052-209-3807
1819제일기획울산광역시 동구 일산동 944번지 9호울산광역시 동구 일산진2길 19 (일산동)2006-03-20운영중간판,현수막 제작052-234-67672006-3710057-08-2-00002울산광역시 동구052-209-3807
1920화진광고산업울산광역시 동구 방어동 379번지 18호울산광역시 동구 꽃바위로 314 (방어동)2007-11-05운영중간판제작 및 수리052-235-71711997-3710000-08-2-00020울산광역시 동구052-209-3807
2021소망스케치울산광역시 동구 전하동 302번지 75호울산광역시 동구 바드래길 31 (전하동)2005-04-30운영중옥외광고업052-234-40712005-3710057-08-2-00004울산광역시 동구052-209-3807
2122현대애드월드울산광역시 동구 전하동 309번지 29호울산광역시 동구 바드래길 12-5 (전하동)2005-05-11운영중간판,현수막 제조052-234-29572005-3710057-08-2-00005울산광역시 동구052-209-3807
2223제일인쇄기획울산광역시 동구 화정동 851번지 3호 현대파라다이스상가 201울산광역시 동구 봉수로 98 (화정동)2005-07-26운영중인쇄.전산소모품외 전산 제조,도소매,서비스052-233-70072005-3710057-08-2-00006울산광역시 동구052-209-3807
2324미래디자인울산광역시 동구 방어동 1157번지 1호울산광역시 동구 문현로 33 (방어동)2001-08-23운영중광고,출력,광고현수막 서비스,제조052-201-49052001-3710045-08-2-00005울산광역시 동구052-209-3807