Overview

Dataset statistics

Number of variables4
Number of observations94
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory34.4 B

Variable types

Numeric1
Categorical1
Text1
DateTime1

Dataset

Description울산광역시 중구 무단투기 감시카메라 현황입니다. 데이터 목록으로는 카메라 설치동, 도로명주소 등의 데이터 목록을 포함하고 있습니다.
Author울산광역시 중구
URLhttps://www.data.go.kr/data/15090481/fileData.do

Alerts

데이터기준일 has constant value ""Constant
연번 is highly overall correlated with 설치위치High correlation
설치위치 is highly overall correlated with 연번High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 13:13:04.922019
Analysis finished2023-12-12 13:13:05.276943
Duration0.35 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct94
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean47.5
Minimum1
Maximum94
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size978.0 B
2023-12-12T22:13:05.347396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile5.65
Q124.25
median47.5
Q370.75
95-th percentile89.35
Maximum94
Range93
Interquartile range (IQR)46.5

Descriptive statistics

Standard deviation27.279418
Coefficient of variation (CV)0.57430354
Kurtosis-1.2
Mean47.5
Median Absolute Deviation (MAD)23.5
Skewness0
Sum4465
Variance744.16667
MonotonicityStrictly increasing
2023-12-12T22:13:05.472709image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.1%
61 1
 
1.1%
70 1
 
1.1%
69 1
 
1.1%
68 1
 
1.1%
67 1
 
1.1%
66 1
 
1.1%
65 1
 
1.1%
64 1
 
1.1%
63 1
 
1.1%
Other values (84) 84
89.4%
ValueCountFrequency (%)
1 1
1.1%
2 1
1.1%
3 1
1.1%
4 1
1.1%
5 1
1.1%
6 1
1.1%
7 1
1.1%
8 1
1.1%
9 1
1.1%
10 1
1.1%
ValueCountFrequency (%)
94 1
1.1%
93 1
1.1%
92 1
1.1%
91 1
1.1%
90 1
1.1%
89 1
1.1%
88 1
1.1%
87 1
1.1%
86 1
1.1%
85 1
1.1%

설치위치
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)13.8%
Missing0
Missing (%)0.0%
Memory size884.0 B
병영2동
14 
병영1동
13 
반구1동
10 
반구2동
9 
중앙동
9 
Other values (8)
39 

Length

Max length4
Median length4
Mean length3.5212766
Min length3

Unique

Unique2 ?
Unique (%)2.1%

Sample

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

Common Values

ValueCountFrequency (%)
병영2동 14
14.9%
병영1동 13
13.8%
반구1동 10
10.6%
반구2동 9
9.6%
중앙동 9
9.6%
다운동 9
9.6%
태화동 8
8.5%
우정동 7
7.4%
학성동 6
6.4%
성안동 5
 
5.3%
Other values (3) 4
 
4.3%

Length

2023-12-12T22:13:05.587224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
병영2동 14
14.9%
병영1동 13
13.8%
반구1동 10
10.6%
반구2동 9
9.6%
중앙동 9
9.6%
다운동 9
9.6%
태화동 8
8.5%
우정동 7
7.4%
학성동 6
6.4%
성안동 5
 
5.3%
Other values (3) 4
 
4.3%

도로명주소
Text

Distinct93
Distinct (%)98.9%
Missing0
Missing (%)0.0%
Memory size884.0 B
2023-12-12T22:13:05.874657image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length19
Median length18
Mean length15.617021
Min length13

Characters and Unicode

Total characters1468
Distinct characters77
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

Unique92 ?
Unique (%)97.9%

Sample

1st row울산광역시 중구 계변로6
2nd row울산광역시 중구 학성공원10안길26
3rd row울산광역시 중구 옥교2길83
4th row울산광역시 중구 학성공원13길26
5th row울산광역시 중구 학성4길63
ValueCountFrequency (%)
울산광역시 94
33.3%
중구 94
33.3%
곽남14길49 2
 
0.7%
난곡7길28 1
 
0.4%
곽남6길49-10 1
 
0.4%
곽남10길4 1
 
0.4%
오산7길1 1
 
0.4%
명정5길8-12 1
 
0.4%
구루미길116 1
 
0.4%
구루미8길39 1
 
0.4%
Other values (85) 85
30.1%
2023-12-12T22:13:06.338792image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
188
12.8%
구 106
 
7.2%
산 98
 
6.7%
역 95
 
6.5%
시 95
 
6.5%
중 95
 
6.5%
울 94
 
6.4%
광 94
 
6.4%
길 81
 
5.5%
1 74
 
5.0%
Other values (67) 448
30.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 962
65.5%
Decimal Number 299
 
20.4%
Space Separator 188
 
12.8%
Dash Punctuation 19
 
1.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 106
11.0%
산 98
10.2%
역 95
9.9%
시 95
9.9%
중 95
9.9%
울 94
9.8%
광 94
9.8%
길 81
8.4%
남 12
 
1.2%
곽 11
 
1.1%
Other values (55) 181
18.8%
Decimal Number
ValueCountFrequency (%)
1 74
24.7%
4 38
12.7%
3 35
11.7%
2 32
10.7%
6 29
 
9.7%
0 22
 
7.4%
5 22
 
7.4%
7 19
 
6.4%
8 16
 
5.4%
9 12
 
4.0%
Space Separator
ValueCountFrequency (%)
188
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 19
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 962
65.5%
Common 506
34.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 106
11.0%
산 98
10.2%
역 95
9.9%
시 95
9.9%
중 95
9.9%
울 94
9.8%
광 94
9.8%
길 81
8.4%
남 12
 
1.2%
곽 11
 
1.1%
Other values (55) 181
18.8%
Common
ValueCountFrequency (%)
188
37.2%
1 74
 
14.6%
4 38
 
7.5%
3 35
 
6.9%
2 32
 
6.3%
6 29
 
5.7%
0 22
 
4.3%
5 22
 
4.3%
7 19
 
3.8%
- 19
 
3.8%
Other values (2) 28
 
5.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 962
65.5%
ASCII 506
34.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
188
37.2%
1 74
 
14.6%
4 38
 
7.5%
3 35
 
6.9%
2 32
 
6.3%
6 29
 
5.7%
0 22
 
4.3%
5 22
 
4.3%
7 19
 
3.8%
- 19
 
3.8%
Other values (2) 28
 
5.5%
Hangul
ValueCountFrequency (%)
구 106
11.0%
산 98
10.2%
역 95
9.9%
시 95
9.9%
중 95
9.9%
울 94
9.8%
광 94
9.8%
길 81
8.4%
남 12
 
1.2%
곽 11
 
1.1%
Other values (55) 181
18.8%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)1.1%
Missing0
Missing (%)0.0%
Memory size884.0 B
Minimum2023-10-06 00:00:00
Maximum2023-10-06 00:00:00
2023-12-12T22:13:06.464803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T22:13:06.561274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-12T22:13:05.080556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T22:13:06.625430image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번설치위치도로명주소
연번1.0000.9371.000
설치위치0.9371.0001.000
도로명주소1.0001.0001.000
2023-12-12T22:13:06.710025image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번설치위치
연번1.0000.754
설치위치0.7541.000

Missing values

2023-12-12T22:13:05.173169image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T22:13:05.246721image/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

연번설치위치도로명주소데이터기준일
01학성동울산광역시 중구 계변로62023-10-06
12학성동울산광역시 중구 학성공원10안길262023-10-06
23학성동울산광역시 중구 옥교2길832023-10-06
34학성동울산광역시 중구 학성공원13길262023-10-06
45학성동울산광역시 중구 학성4길632023-10-06
56학성동울산광역시 중구 학성공원6길212023-10-06
67반구1동울산광역시 중구 반구정15길442023-10-06
78반구1동울산광역시 중구 내황5길172023-10-06
89반구1동울산광역시 중구 내황2길542023-10-06
910반구1동울산광역시 중구 내황12길432023-10-06
연번설치위치도로명주소데이터기준일
8485병영2동울산광역시 중구 병영성4길602023-10-06
8586병영2동울산광역시 중구 곽남8길312023-10-06
8687병영2동울산광역시 중구 동동7052023-10-06
8788병영2동울산광역시 중구 병영16길302023-10-06
8889병영2동울산광역시 중구 곽남17길732023-10-06
8990병영2동울산광역시 중구 서동69-12023-10-06
9091병영2동울산광역시 중구 병영성10길22023-10-06
9192병영2동울산광역시 중구 동천1길672023-10-06
9293병영2동울산광역시 중구 서동4132023-10-06
9394약사동울산광역시 중구 약사동1262023-10-06