Overview

Dataset statistics

Number of variables3
Number of observations49
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.3 KiB
Average record size in memory27.7 B

Variable types

Numeric1
Text2

Dataset

Description부산광역시기장군_옥외광고_20230720
Author부산광역시 기장군
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=3072017

Alerts

순번 has unique valuesUnique
업소명 has unique valuesUnique
영업장도로명주소 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:10:51.547728
Analysis finished2023-12-10 16:10:51.871632
Duration0.32 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

순번
Real number (ℝ)

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean25
Minimum1
Maximum49
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size573.0 B
2023-12-11T01:10:51.927128image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.4
Q113
median25
Q337
95-th percentile46.6
Maximum49
Range48
Interquartile range (IQR)24

Descriptive statistics

Standard deviation14.28869
Coefficient of variation (CV)0.57154761
Kurtosis-1.2
Mean25
Median Absolute Deviation (MAD)12
Skewness0
Sum1225
Variance204.16667
MonotonicityStrictly increasing
2023-12-11T01:10:52.038011image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=49)
ValueCountFrequency (%)
1 1
 
2.0%
38 1
 
2.0%
28 1
 
2.0%
29 1
 
2.0%
30 1
 
2.0%
31 1
 
2.0%
32 1
 
2.0%
33 1
 
2.0%
34 1
 
2.0%
35 1
 
2.0%
Other values (39) 39
79.6%
ValueCountFrequency (%)
1 1
2.0%
2 1
2.0%
3 1
2.0%
4 1
2.0%
5 1
2.0%
6 1
2.0%
7 1
2.0%
8 1
2.0%
9 1
2.0%
10 1
2.0%
ValueCountFrequency (%)
49 1
2.0%
48 1
2.0%
47 1
2.0%
46 1
2.0%
45 1
2.0%
44 1
2.0%
43 1
2.0%
42 1
2.0%
41 1
2.0%
40 1
2.0%

업소명
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-11T01:10:52.216844image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length11
Mean length5.5510204
Min length3

Characters and Unicode

Total characters272
Distinct characters112
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique49 ?
Unique (%)100.0%

Sample

1st row(주)유림강건
2nd row주식회사 대한애드
3rd row부산광고
4th row일우광고기획
5th row화랑기획
ValueCountFrequency (%)
주식회사 4
 
7.4%
명성광고 1
 
1.9%
앤비기획 1
 
1.9%
예도디자인 1
 
1.9%
용디자인 1
 
1.9%
제일애드 1
 
1.9%
제일프레임 1
 
1.9%
종합광고일광상사 1
 
1.9%
종합광고태양 1
 
1.9%
락미디어 1
 
1.9%
Other values (41) 41
75.9%
2023-12-11T01:10:52.483963image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
고 13
 
4.8%
광 12
 
4.4%
드 11
 
4.0%
주 10
 
3.7%
애 10
 
3.7%
디 8
 
2.9%
인 7
 
2.6%
사 7
 
2.6%
) 7
 
2.6%
일 7
 
2.6%
Other values (102) 180
66.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 240
88.2%
Close Punctuation 7
 
2.6%
Open Punctuation 7
 
2.6%
Uppercase Letter 7
 
2.6%
Space Separator 5
 
1.8%
Lowercase Letter 4
 
1.5%
Other Symbol 2
 
0.7%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
고 13
 
5.4%
광 12
 
5.0%
드 11
 
4.6%
주 10
 
4.2%
애 10
 
4.2%
디 8
 
3.3%
인 7
 
2.9%
사 7
 
2.9%
일 7
 
2.9%
획 6
 
2.5%
Other values (90) 149
62.1%
Uppercase Letter
ValueCountFrequency (%)
D 3
42.9%
E 2
28.6%
A 1
 
14.3%
L 1
 
14.3%
Lowercase Letter
ValueCountFrequency (%)
o 1
25.0%
f 1
25.0%
n 1
25.0%
i 1
25.0%
Close Punctuation
ValueCountFrequency (%)
) 7
100.0%
Open Punctuation
ValueCountFrequency (%)
( 7
100.0%
Space Separator
ValueCountFrequency (%)
5
100.0%
Other Symbol
ValueCountFrequency (%)
㈜ 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 242
89.0%
Common 19
 
7.0%
Latin 11
 
4.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
고 13
 
5.4%
광 12
 
5.0%
드 11
 
4.5%
주 10
 
4.1%
애 10
 
4.1%
디 8
 
3.3%
인 7
 
2.9%
사 7
 
2.9%
일 7
 
2.9%
획 6
 
2.5%
Other values (91) 151
62.4%
Latin
ValueCountFrequency (%)
D 3
27.3%
E 2
18.2%
A 1
 
9.1%
L 1
 
9.1%
o 1
 
9.1%
f 1
 
9.1%
n 1
 
9.1%
i 1
 
9.1%
Common
ValueCountFrequency (%)
) 7
36.8%
( 7
36.8%
5
26.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 240
88.2%
ASCII 30
 
11.0%
None 2
 
0.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
고 13
 
5.4%
광 12
 
5.0%
드 11
 
4.6%
주 10
 
4.2%
애 10
 
4.2%
디 8
 
3.3%
인 7
 
2.9%
사 7
 
2.9%
일 7
 
2.9%
획 6
 
2.5%
Other values (90) 149
62.1%
ASCII
ValueCountFrequency (%)
) 7
23.3%
( 7
23.3%
5
16.7%
D 3
10.0%
E 2
 
6.7%
A 1
 
3.3%
L 1
 
3.3%
o 1
 
3.3%
f 1
 
3.3%
n 1
 
3.3%
None
ValueCountFrequency (%)
㈜ 2
100.0%

영업장도로명주소
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-11T01:10:52.721307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length43
Median length32
Mean length26.265306
Min length20

Characters and Unicode

Total characters1287
Distinct characters108
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

Unique49 ?
Unique (%)100.0%

Sample

1st row부산광역시 기장군 장안읍 길천길 133, 4층 디호
2nd row부산광역시 기장군 정관읍 산단4로 153-26
3rd row부산광역시 기장군 정관읍 방곡5로 2-26, 1층
4th row부산광역시 기장군 기장읍 배산로8번길 48, 에이동
5th row부산광역시 기장군 기장읍 차성동로 98-19, 2층
ValueCountFrequency (%)
부산광역시 49
17.8%
기장군 49
17.8%
기장읍 27
 
9.8%
정관읍 15
 
5.5%
장안읍 7
 
2.5%
기장대로 5
 
1.8%
1층 4
 
1.5%
정관로 4
 
1.5%
101호 3
 
1.1%
1128-6 3
 
1.1%
Other values (101) 109
39.6%
2023-12-11T01:10:53.101517image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
226
17.6%
장 92
 
7.1%
기 82
 
6.4%
산 57
 
4.4%
시 52
 
4.0%
읍 50
 
3.9%
부 49
 
3.8%
군 49
 
3.8%
역 49
 
3.8%
광 49
 
3.8%
Other values (98) 532
41.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 815
63.3%
Space Separator 226
 
17.6%
Decimal Number 202
 
15.7%
Other Punctuation 19
 
1.5%
Dash Punctuation 13
 
1.0%
Close Punctuation 5
 
0.4%
Open Punctuation 5
 
0.4%
Uppercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
장 92
 
11.3%
기 82
 
10.1%
산 57
 
7.0%
시 52
 
6.4%
읍 50
 
6.1%
부 49
 
6.0%
군 49
 
6.0%
역 49
 
6.0%
광 49
 
6.0%
로 37
 
4.5%
Other values (82) 249
30.6%
Decimal Number
ValueCountFrequency (%)
1 45
22.3%
2 27
13.4%
6 21
10.4%
4 19
9.4%
5 18
 
8.9%
0 18
 
8.9%
8 17
 
8.4%
3 15
 
7.4%
9 11
 
5.4%
7 11
 
5.4%
Space Separator
ValueCountFrequency (%)
226
100.0%
Other Punctuation
ValueCountFrequency (%)
, 19
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 13
100.0%
Close Punctuation
ValueCountFrequency (%)
) 5
100.0%
Open Punctuation
ValueCountFrequency (%)
( 5
100.0%
Uppercase Letter
ValueCountFrequency (%)
B 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 815
63.3%
Common 470
36.5%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
장 92
 
11.3%
기 82
 
10.1%
산 57
 
7.0%
시 52
 
6.4%
읍 50
 
6.1%
부 49
 
6.0%
군 49
 
6.0%
역 49
 
6.0%
광 49
 
6.0%
로 37
 
4.5%
Other values (82) 249
30.6%
Common
ValueCountFrequency (%)
226
48.1%
1 45
 
9.6%
2 27
 
5.7%
6 21
 
4.5%
, 19
 
4.0%
4 19
 
4.0%
5 18
 
3.8%
0 18
 
3.8%
8 17
 
3.6%
3 15
 
3.2%
Other values (5) 45
 
9.6%
Latin
ValueCountFrequency (%)
B 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 815
63.3%
ASCII 472
36.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
226
47.9%
1 45
 
9.5%
2 27
 
5.7%
6 21
 
4.4%
, 19
 
4.0%
4 19
 
4.0%
5 18
 
3.8%
0 18
 
3.8%
8 17
 
3.6%
3 15
 
3.2%
Other values (6) 47
 
10.0%
Hangul
ValueCountFrequency (%)
장 92
 
11.3%
기 82
 
10.1%
산 57
 
7.0%
시 52
 
6.4%
읍 50
 
6.1%
부 49
 
6.0%
군 49
 
6.0%
역 49
 
6.0%
광 49
 
6.0%
로 37
 
4.5%
Other values (82) 249
30.6%

Interactions

2023-12-11T01:10:51.702302image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:10:53.199181image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
순번업소명영업장도로명주소
순번1.0001.0001.000
업소명1.0001.0001.000
영업장도로명주소1.0001.0001.000

Missing values

2023-12-11T01:10:51.789015image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:10:51.848383image/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

순번업소명영업장도로명주소
01(주)유림강건부산광역시 기장군 장안읍 길천길 133, 4층 디호
12주식회사 대한애드부산광역시 기장군 정관읍 산단4로 153-26
23부산광고부산광역시 기장군 정관읍 방곡5로 2-26, 1층
34일우광고기획부산광역시 기장군 기장읍 배산로8번길 48, 에이동
45화랑기획부산광역시 기장군 기장읍 차성동로 98-19, 2층
56푸름애드부산광역시 기장군 장안읍 정관로 1128-6, 제비107호
67국제광고부산광역시 기장군 기장읍 대청로71번길 2
78판디자인부산광역시 기장군 정관읍 정관로 22
89천사기획부산광역시 기장군 정관읍 정관덕산길 36, 201호
910(주)비쥬얼텍부산광역시 기장군 기장읍 배산로56번길 39
순번업소명영업장도로명주소
3940애드위드부산광역시 기장군 정관읍 예림길 48-15, 2동
4041(주)플레이유부산광역시 기장군 기장읍 기장대로 82-6, 아우라시티 105호
4142성원테크부산광역시 기장군 기장읍 청강로85번길 69, 101호
4243다온애드부산광역시 기장군 기장읍 차성로404번길 61, 1층
4344한마음부산광역시 기장군 정관읍 정관덕산길 32-1
4445(주)해성씨앤에이부산광역시 기장군 기장읍 차성남로 76, 2층
4546다라광고부산광역시 기장군 기장읍 기장해안로 98, B208호(오시리아스퀘어)
4647㈜삼성애드산업부산광역시 기장군 정관읍 양수길 7-8
4748부일AD부산광역시 기장군 정관읍 방곡로39, 106동 702호 (가화만사성 정관타운)
4849㈜다호씨앤티부산광역시 기장군 정관읍 곰내길 639