Overview

Dataset statistics

Number of variables11
Number of observations49
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.6 KiB
Average record size in memory95.7 B

Variable types

Numeric1
Categorical8
Text1
DateTime1

Dataset

Description부산광역시부산진구_현수막게시대_20230608
Author부산광역시 부산진구
URLhttp://data.busan.go.kr/dataSet/detail.nm?contentId=10&publicdatapk=15055230

Alerts

관리기관명 has constant value ""Constant
부착제한일 has constant value ""Constant
민원수수료 has constant value ""Constant
데이터 기준일자 has constant value ""Constant
연번 is highly overall correlated with 특징 and 1 other fieldsHigh correlation
특징 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
규격 is highly overall correlated with 특징 and 2 other fieldsHigh correlation
부착면수 is highly overall correlated with 연번 and 3 other fieldsHigh correlation
일일도로점용료 is highly overall correlated with 규격 and 1 other fieldsHigh correlation
연번 has unique valuesUnique
위치 has unique valuesUnique

Reproduction

Analysis started2023-12-10 16:52:27.205639
Analysis finished2023-12-10 16:52:28.223159
Duration1.02 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  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
2023-12-11T01:52:28.373552image/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
2023-12-11T01:52:28.609940image/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%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
부산광역시 부산진구
49 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부산광역시 부산진구
2nd row부산광역시 부산진구
3rd row부산광역시 부산진구
4th row부산광역시 부산진구
5th row부산광역시 부산진구

Common Values

ValueCountFrequency (%)
부산광역시 부산진구 49
100.0%

Length

2023-12-11T01:52:28.777467image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:52:28.925257image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 49
50.0%
부산진구 49
50.0%

행정동
Categorical

Distinct10
Distinct (%)20.4%
Missing0
Missing (%)0.0%
Memory size524.0 B
가야동
8 
당감동
7 
부전동
6 
개금동
6 
양정동
5 
Other values (5)
17 

Length

Max length4
Median length3
Mean length3.1020408
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row부전동
2nd row부전동
3rd row부전동
4th row양정동
5th row양정동

Common Values

ValueCountFrequency (%)
가야동 8
16.3%
당감동 7
14.3%
부전동 6
12.2%
개금동 6
12.2%
양정동 5
10.2%
범천동 5
10.2%
부암동 4
8.2%
초읍동 3
 
6.1%
전포동 3
 
6.1%
연지동 2
 
4.1%

Length

2023-12-11T01:52:29.066658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:52:29.260596image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
가야동 8
16.3%
당감동 7
14.3%
부전동 6
12.2%
개금동 6
12.2%
양정동 5
10.2%
범천동 5
10.2%
부암동 4
8.2%
초읍동 3
 
6.1%
전포동 3
 
6.1%
연지동 2
 
4.1%

위치
Text

UNIQUE 

Distinct49
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
2023-12-11T01:52:29.558330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length34
Median length29
Mean length22.816327
Min length10

Characters and Unicode

Total characters1118
Distinct characters168
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 row시민공원로50, 부산진중학교 담벽(구청앞 시민공원쪽)
2nd row시민공원 동편 굴다리옆
3rd row부전동389-107, 영어마을 옆
4th row범양로 120번길 21 앞 하마정 교차로(송상현광장방향)
5th row동평로315, 정묘사 옆 옹벽(좌)
ValueCountFrequency (%)
앞 10
 
5.2%
맞은편 6
 
3.1%
옆 6
 
3.1%
화단 5
 
2.6%
건너편 3
 
1.6%
아래 3
 
1.6%
가야대로 3
 
1.6%
삼거리 2
 
1.0%
동일스위트 2
 
1.0%
당감동792-4 2
 
1.0%
Other values (129) 149
78.0%
2023-12-11T01:52:30.125310image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
145
 
13.0%
동 43
 
3.8%
, 34
 
3.0%
) 33
 
3.0%
( 32
 
2.9%
1 31
 
2.8%
로 29
 
2.6%
2 28
 
2.5%
5 25
 
2.2%
- 23
 
2.1%
Other values (158) 695
62.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 659
58.9%
Decimal Number 190
 
17.0%
Space Separator 145
 
13.0%
Other Punctuation 34
 
3.0%
Close Punctuation 33
 
3.0%
Open Punctuation 32
 
2.9%
Dash Punctuation 23
 
2.1%
Lowercase Letter 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 43
 
6.5%
로 29
 
4.4%
대 15
 
2.3%
아 15
 
2.3%
가 15
 
2.3%
부 15
 
2.3%
교 14
 
2.1%
앞 13
 
2.0%
옆 12
 
1.8%
편 12
 
1.8%
Other values (142) 476
72.2%
Decimal Number
ValueCountFrequency (%)
1 31
16.3%
2 28
14.7%
5 25
13.2%
9 21
11.1%
4 17
8.9%
3 17
8.9%
0 14
7.4%
7 13
6.8%
8 12
 
6.3%
6 12
 
6.3%
Space Separator
ValueCountFrequency (%)
145
100.0%
Other Punctuation
ValueCountFrequency (%)
, 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 33
100.0%
Open Punctuation
ValueCountFrequency (%)
( 32
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 23
100.0%
Lowercase Letter
ValueCountFrequency (%)
m 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 659
58.9%
Common 457
40.9%
Latin 2
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 43
 
6.5%
로 29
 
4.4%
대 15
 
2.3%
아 15
 
2.3%
가 15
 
2.3%
부 15
 
2.3%
교 14
 
2.1%
앞 13
 
2.0%
옆 12
 
1.8%
편 12
 
1.8%
Other values (142) 476
72.2%
Common
ValueCountFrequency (%)
145
31.7%
, 34
 
7.4%
) 33
 
7.2%
( 32
 
7.0%
1 31
 
6.8%
2 28
 
6.1%
5 25
 
5.5%
- 23
 
5.0%
9 21
 
4.6%
4 17
 
3.7%
Other values (5) 68
14.9%
Latin
ValueCountFrequency (%)
m 2
100.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 659
58.9%
ASCII 459
41.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
145
31.6%
, 34
 
7.4%
) 33
 
7.2%
( 32
 
7.0%
1 31
 
6.8%
2 28
 
6.1%
5 25
 
5.4%
- 23
 
5.0%
9 21
 
4.6%
4 17
 
3.7%
Other values (6) 70
15.3%
Hangul
ValueCountFrequency (%)
동 43
 
6.5%
로 29
 
4.4%
대 15
 
2.3%
아 15
 
2.3%
가 15
 
2.3%
부 15
 
2.3%
교 14
 
2.1%
앞 13
 
2.0%
옆 12
 
1.8%
편 12
 
1.8%
Other values (142) 476
72.2%

특징
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
반자동
18 
탱탱걸이
18 
사다리
13 

Length

Max length4
Median length3
Mean length3.3673469
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row반자동
2nd row사다리
3rd row반자동
4th row반자동
5th row반자동

Common Values

ValueCountFrequency (%)
반자동 18
36.7%
탱탱걸이 18
36.7%
사다리 13
26.5%

Length

2023-12-11T01:52:30.404904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:52:30.632546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
반자동 18
36.7%
탱탱걸이 18
36.7%
사다리 13
26.5%

규격
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
6*0.9m
21 
6*0.7m
17 
6*0.9
7 
6*0.7
3 
6.9*0.9m
 
1

Length

Max length8
Median length6
Mean length5.8367347
Min length5

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row6*0.9m
2nd row6*0.9m
3rd row6*0.7m
4th row6*0.9m
5th row6*0.9m

Common Values

ValueCountFrequency (%)
6*0.9m 21
42.9%
6*0.7m 17
34.7%
6*0.9 7
 
14.3%
6*0.7 3
 
6.1%
6.9*0.9m 1
 
2.0%

Length

2023-12-11T01:52:30.872111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:52:31.202587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
6*0.9m 21
42.9%
6*0.7m 17
34.7%
6*0.9 7
 
14.3%
6*0.7 3
 
6.1%
6.9*0.9m 1
 
2.0%

부착면수
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)10.2%
Missing0
Missing (%)0.0%
Memory size524.0 B
5
18 
2
11 
4
10 
1
7 
3
3 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row4
3rd row4
4th row5
5th row5

Common Values

ValueCountFrequency (%)
5 18
36.7%
2 11
22.4%
4 10
20.4%
1 7
 
14.3%
3 3
 
6.1%

Length

2023-12-11T01:52:31.485805image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:52:31.726068image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
5 18
36.7%
2 11
22.4%
4 10
20.4%
1 7
 
14.3%
3 3
 
6.1%

부착제한일
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
10
49 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10
2nd row10
3rd row10
4th row10
5th row10

Common Values

ValueCountFrequency (%)
10 49
100.0%

Length

2023-12-11T01:52:31.923626image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:52:32.073852image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10 49
100.0%

민원수수료
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
10000
49 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10000
2nd row10000
3rd row10000
4th row10000
5th row10000

Common Values

ValueCountFrequency (%)
10000 49
100.0%

Length

2023-12-11T01:52:32.242249image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:52:32.424461image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10000 49
100.0%

일일도로점용료
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)6.1%
Missing0
Missing (%)0.0%
Memory size524.0 B
1620
28 
1260
20 
1860
 
1

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique1 ?
Unique (%)2.0%

Sample

1st row1620
2nd row1620
3rd row1260
4th row1620
5th row1620

Common Values

ValueCountFrequency (%)
1620 28
57.1%
1260 20
40.8%
1860 1
 
2.0%

Length

2023-12-11T01:52:32.645436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T01:52:32.878245image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1620 28
57.1%
1260 20
40.8%
1860 1
 
2.0%

데이터 기준일자
Date

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size524.0 B
Minimum2023-06-08 00:00:00
Maximum2023-06-08 00:00:00
2023-12-11T01:52:33.013510image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-11T01:52:33.148275image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-11T01:52:27.790932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-11T01:52:33.250621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동위치특징규격부착면수일일도로점용료
연번1.0000.8891.0000.8300.8380.8770.459
행정동0.8891.0001.0000.6510.6780.8290.539
위치1.0001.0001.0001.0001.0001.0001.000
특징0.8300.6511.0001.0000.6540.7720.672
규격0.8380.6781.0000.6541.0000.9510.698
부착면수0.8770.8291.0000.7720.9511.0000.677
일일도로점용료0.4590.5391.0000.6720.6980.6771.000
2023-12-11T01:52:33.401554image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
규격부착면수일일도로점용료행정동특징
규격1.0000.6860.6650.3210.607
부착면수0.6861.0000.6370.4570.764
일일도로점용료0.6650.6371.0000.3480.330
행정동0.3210.4570.3481.0000.457
특징0.6070.7640.3300.4571.000
2023-12-11T01:52:33.560524image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번행정동특징규격부착면수일일도로점용료
연번1.0000.4840.6550.4840.5170.223
행정동0.4841.0000.4570.3210.4570.348
특징0.6550.4571.0000.6070.7640.330
규격0.4840.3210.6071.0000.6860.665
부착면수0.5170.4570.7640.6861.0000.637
일일도로점용료0.2230.3480.3300.6650.6371.000

Missing values

2023-12-11T01:52:27.956975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-11T01:52:28.152185image/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

연번관리기관명행정동위치특징규격부착면수부착제한일민원수수료일일도로점용료데이터 기준일자
01부산광역시 부산진구부전동시민공원로50, 부산진중학교 담벽(구청앞 시민공원쪽)반자동6*0.9m5101000016202023-06-08
12부산광역시 부산진구부전동시민공원 동편 굴다리옆사다리6*0.9m4101000016202023-06-08
23부산광역시 부산진구부전동부전동389-107, 영어마을 옆반자동6*0.7m4101000012602023-06-08
34부산광역시 부산진구양정동범양로 120번길 21 앞 하마정 교차로(송상현광장방향)반자동6*0.9m5101000016202023-06-08
45부산광역시 부산진구양정동동평로315, 정묘사 옆 옹벽(좌)반자동6*0.9m5101000016202023-06-08
56부산광역시 부산진구연지동동평로315, 정묘사 옆 옹벽(우)반자동6*0.7m4101000012602023-06-08
67부산광역시 부산진구연지동초읍동43-5, 어린이대공원 치안센터반자동6*0.7m4101000012602023-06-08
78부산광역시 부산진구초읍동양정동292-17, 하마정 교차로(거제방향)반자동6*0.9m5101000016202023-06-08
89부산광역시 부산진구양정동양정동74-159, 부산진여상 담벽반자동6*0.9m5101000016202023-06-08
910부산광역시 부산진구양정동전포동439-70, 전포시영아파트 밑 삼거리반자동6*0.9m5101000016202023-06-08
연번관리기관명행정동위치특징규격부착면수부착제한일민원수수료일일도로점용료데이터 기준일자
3940부산광역시 부산진구부전동새싹로 62 화단(평화탕 건너편)탱탱걸이6*0.91101000016202023-06-08
4041부산광역시 부산진구부전동부산진중학교 버스정류소(05352) 건너편 화단탱탱걸이6*0.91101000016202023-06-08
4142부산광역시 부산진구부전동시민공원 남문 버스정류소(05169) 건너편 화단탱탱걸이6*0.91101000016202023-06-08
4243부산광역시 부산진구범천동중앙대로 611, 범내골 교차로 교통섬탱탱걸이6*0.91101000016202023-06-08
4344부산광역시 부산진구범천동중앙대로 605, 춘해병원 앞 화단탱탱걸이6*0.72101000012602023-06-08
4445부산광역시 부산진구초읍동초읍천로 110 앞 화단(어린이대공원로타리)탱탱걸이6*0.91101000016202023-06-08
4546부산광역시 부산진구초읍동성지로 109, 초읍대우아파트 진입로 맞은편탱탱걸이6*0.91101000016202023-06-08
4647부산광역시 부산진구전포동동성로 125 앞 교통섬탱탱걸이6*0.72101000012602023-06-08
4748부산광역시 부산진구개금동복지로 43 앞 화단탱탱걸이6*0.91101000016202023-06-08
4849부산광역시 부산진구가야동가야대로 610, 부산은행 앞 화단탱탱걸이6*0.72101000012602023-06-08