Overview

Dataset statistics

Number of variables13
Number of observations29
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory3.2 KiB
Average record size in memory111.6 B

Variable types

Text4
Categorical5
Numeric3
DateTime1

Dataset

Description부산광역시 서구의 무인주차단속카메라에 대한 데이터
Author부산광역시 서구
URLhttps://www.data.go.kr/data/15040437/fileData.do

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
위도 is highly overall correlated with 도로노선명High correlation
도로노선명 is highly overall correlated with 위도High correlation
무인교통단속카메라관리번호 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 16:15:31.872694
Analysis finished2023-12-12 16:15:33.319366
Duration1.45 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

무인교통단속카메라관리번호
Text

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-13T01:15:33.462927image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length6
Median length6
Mean length5.6896552
Min length5

Characters and Unicode

Total characters165
Distinct characters14
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

Unique29 ?
Unique (%)100.0%

Sample

1st row주정차-1
2nd row주정차-2
3rd row주정차-3
4th row주정차-4
5th row주정차-5
ValueCountFrequency (%)
주정차-1 1
 
3.4%
주정차-16 1
 
3.4%
주정차-28 1
 
3.4%
주정차-27 1
 
3.4%
주정차-26 1
 
3.4%
주정차-25 1
 
3.4%
주정차-24 1
 
3.4%
주정차-23 1
 
3.4%
주정차-22 1
 
3.4%
주정차-21 1
 
3.4%
Other values (19) 19
65.5%
2023-12-13T01:15:33.794919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 29
17.6%
정 29
17.6%
차 29
17.6%
- 29
17.6%
1 13
7.9%
2 13
7.9%
3 3
 
1.8%
4 3
 
1.8%
5 3
 
1.8%
6 3
 
1.8%
Other values (4) 11
 
6.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 87
52.7%
Decimal Number 49
29.7%
Dash Punctuation 29
 
17.6%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 13
26.5%
2 13
26.5%
3 3
 
6.1%
4 3
 
6.1%
5 3
 
6.1%
6 3
 
6.1%
7 3
 
6.1%
8 3
 
6.1%
9 3
 
6.1%
0 2
 
4.1%
Other Letter
ValueCountFrequency (%)
주 29
33.3%
정 29
33.3%
차 29
33.3%
Dash Punctuation
ValueCountFrequency (%)
- 29
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 87
52.7%
Common 78
47.3%

Most frequent character per script

Common
ValueCountFrequency (%)
- 29
37.2%
1 13
16.7%
2 13
16.7%
3 3
 
3.8%
4 3
 
3.8%
5 3
 
3.8%
6 3
 
3.8%
7 3
 
3.8%
8 3
 
3.8%
9 3
 
3.8%
Hangul
ValueCountFrequency (%)
주 29
33.3%
정 29
33.3%
차 29
33.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 87
52.7%
ASCII 78
47.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 29
33.3%
정 29
33.3%
차 29
33.3%
ASCII
ValueCountFrequency (%)
- 29
37.2%
1 13
16.7%
2 13
16.7%
3 3
 
3.8%
4 3
 
3.8%
5 3
 
3.8%
6 3
 
3.8%
7 3
 
3.8%
8 3
 
3.8%
9 3
 
3.8%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
부산광역시
29 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산광역시 29
100.0%

Length

2023-12-13T01:15:33.954798image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:15:34.057499image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 29
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
서구
29 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
서구 29
100.0%

Length

2023-12-13T01:15:34.155385image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:15:34.250940image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
서구 29
100.0%

도로노선명
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)44.8%
Missing0
Missing (%)0.0%
Memory size364.0 B
구덕로
6 
충무대로
4 
보수대로
4 
동대로
3 
송도해변로
2 
Other values (8)
10 

Length

Max length5
Median length3
Mean length3.5862069
Min length3

Unique

Unique6 ?
Unique (%)20.7%

Sample

1st row충무대로
2nd row구덕로
3rd row구덕로
4th row충무대로
5th row꽃마을로

Common Values

ValueCountFrequency (%)
구덕로 6
20.7%
충무대로 4
13.8%
보수대로 4
13.8%
동대로 3
10.3%
송도해변로 2
 
6.9%
대영로 2
 
6.9%
고운들로 2
 
6.9%
꽃마을로 1
 
3.4%
암남공원로 1
 
3.4%
대신로 1
 
3.4%
Other values (3) 3
10.3%

Length

2023-12-13T01:15:34.382595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
구덕로 6
20.7%
충무대로 4
13.8%
보수대로 4
13.8%
동대로 3
10.3%
송도해변로 2
 
6.9%
대영로 2
 
6.9%
고운들로 2
 
6.9%
꽃마을로 1
 
3.4%
암남공원로 1
 
3.4%
대신로 1
 
3.4%
Other values (3) 3
10.3%

소재지도로명주소
Text

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-13T01:15:34.603120image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length16.37931
Min length13

Characters and Unicode

Total characters475
Distinct characters49
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

Unique27 ?
Unique (%)93.1%

Sample

1st row부산광역시 서구 충무대 221
2nd row부산광역시 서구 구덕로185번길22-11
3rd row부산광역시 서구 구덕로325
4th row부산광역시 서구 충무대로274
5th row부산광역시 서구 꽃마을로24
ValueCountFrequency (%)
부산광역시 29
30.5%
서구 28
29.5%
보수대로154번길 2
 
2.1%
남부민동 1
 
1.1%
동대로22 1
 
1.1%
고운들로181 1
 
1.1%
부용로 1
 
1.1%
28 1
 
1.1%
구덕로134번길 1
 
1.1%
45 1
 
1.1%
Other values (29) 29
30.5%
2023-12-13T01:15:35.023444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
67
14.1%
구 34
 
7.2%
부 31
 
6.5%
광 29
 
6.1%
역 29
 
6.1%
시 29
 
6.1%
산 29
 
6.1%
서 28
 
5.9%
로 26
 
5.5%
1 23
 
4.8%
Other values (39) 150
31.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 319
67.2%
Decimal Number 85
 
17.9%
Space Separator 67
 
14.1%
Dash Punctuation 4
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 34
10.7%
부 31
9.7%
광 29
9.1%
역 29
9.1%
시 29
9.1%
산 29
9.1%
서 28
8.8%
로 26
8.2%
대 14
 
4.4%
길 7
 
2.2%
Other values (27) 63
19.7%
Decimal Number
ValueCountFrequency (%)
1 23
27.1%
2 19
22.4%
4 10
11.8%
3 8
 
9.4%
8 7
 
8.2%
5 7
 
8.2%
0 3
 
3.5%
7 3
 
3.5%
6 3
 
3.5%
9 2
 
2.4%
Space Separator
ValueCountFrequency (%)
67
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 319
67.2%
Common 156
32.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 34
10.7%
부 31
9.7%
광 29
9.1%
역 29
9.1%
시 29
9.1%
산 29
9.1%
서 28
8.8%
로 26
8.2%
대 14
 
4.4%
길 7
 
2.2%
Other values (27) 63
19.7%
Common
ValueCountFrequency (%)
67
42.9%
1 23
 
14.7%
2 19
 
12.2%
4 10
 
6.4%
3 8
 
5.1%
8 7
 
4.5%
5 7
 
4.5%
- 4
 
2.6%
0 3
 
1.9%
7 3
 
1.9%
Other values (2) 5
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 319
67.2%
ASCII 156
32.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
67
42.9%
1 23
 
14.7%
2 19
 
12.2%
4 10
 
6.4%
3 8
 
5.1%
8 7
 
4.5%
5 7
 
4.5%
- 4
 
2.6%
0 3
 
1.9%
7 3
 
1.9%
Other values (2) 5
 
3.2%
Hangul
ValueCountFrequency (%)
구 34
10.7%
부 31
9.7%
광 29
9.1%
역 29
9.1%
시 29
9.1%
산 29
9.1%
서 28
8.8%
로 26
8.2%
대 14
 
4.4%
길 7
 
2.2%
Other values (27) 63
19.7%

소재지지번주소
Text

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-13T01:15:35.287529image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length18
Mean length16.37931
Min length12

Characters and Unicode

Total characters475
Distinct characters33
Distinct categories6 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique27 ?
Unique (%)93.1%

Sample

1st row부산 서구 남부민동 652-3
2nd row부산 서구 아미동1가 10-1
3rd row부산 서구 서대신동3가 389-1
4th row부산 서구 충무동1가 32-54
5th row부산 서구 서대신동3가 147-2
ValueCountFrequency (%)
부산 28
24.8%
서구 27
23.9%
암남동 5
 
4.4%
동대신동3가 3
 
2.7%
남부민동 3
 
2.7%
서대신동3가 3
 
2.7%
동대신동1가 3
 
2.7%
토성동1가 3
 
2.7%
부용동2가 2
 
1.8%
13-6 2
 
1.8%
Other values (34) 34
30.1%
2023-12-13T01:15:35.705482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
85
17.9%
1 38
 
8.0%
동 36
 
7.6%
부 34
 
7.2%
서 33
 
6.9%
구 28
 
5.9%
산 28
 
5.9%
- 26
 
5.5%
3 22
 
4.6%
가 20
 
4.2%
Other values (23) 125
26.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 235
49.5%
Decimal Number 127
26.7%
Space Separator 85
 
17.9%
Dash Punctuation 26
 
5.5%
Open Punctuation 1
 
0.2%
Close Punctuation 1
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 36
15.3%
부 34
14.5%
서 33
14.0%
구 28
11.9%
산 28
11.9%
가 20
8.5%
신 12
 
5.1%
대 12
 
5.1%
남 8
 
3.4%
암 5
 
2.1%
Other values (9) 19
8.1%
Decimal Number
ValueCountFrequency (%)
1 38
29.9%
3 22
17.3%
2 17
13.4%
5 12
 
9.4%
4 11
 
8.7%
6 9
 
7.1%
0 7
 
5.5%
7 6
 
4.7%
9 3
 
2.4%
8 2
 
1.6%
Space Separator
ValueCountFrequency (%)
85
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%
Open Punctuation
ValueCountFrequency (%)
( 1
100.0%
Close Punctuation
ValueCountFrequency (%)
) 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 240
50.5%
Hangul 235
49.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 36
15.3%
부 34
14.5%
서 33
14.0%
구 28
11.9%
산 28
11.9%
가 20
8.5%
신 12
 
5.1%
대 12
 
5.1%
남 8
 
3.4%
암 5
 
2.1%
Other values (9) 19
8.1%
Common
ValueCountFrequency (%)
85
35.4%
1 38
15.8%
- 26
 
10.8%
3 22
 
9.2%
2 17
 
7.1%
5 12
 
5.0%
4 11
 
4.6%
6 9
 
3.8%
0 7
 
2.9%
7 6
 
2.5%
Other values (4) 7
 
2.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 240
50.5%
Hangul 235
49.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
85
35.4%
1 38
15.8%
- 26
 
10.8%
3 22
 
9.2%
2 17
 
7.1%
5 12
 
5.0%
4 11
 
4.6%
6 9
 
3.8%
0 7
 
2.9%
7 6
 
2.5%
Other values (4) 7
 
2.9%
Hangul
ValueCountFrequency (%)
동 36
15.3%
부 34
14.5%
서 33
14.0%
구 28
11.9%
산 28
11.9%
가 20
8.5%
신 12
 
5.1%
대 12
 
5.1%
남 8
 
3.4%
암 5
 
2.1%
Other values (9) 19
8.1%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.100265
Minimum35.062931
Maximum35.119804
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-13T01:15:35.868757image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.062931
5-th percentile35.076071
Q135.089771
median35.105874
Q335.112015
95-th percentile35.119368
Maximum35.119804
Range0.056873
Interquartile range (IQR)0.022244

Descriptive statistics

Standard deviation0.015401926
Coefficient of variation (CV)0.000438798
Kurtosis-0.31600939
Mean35.100265
Median Absolute Deviation (MAD)0.009141
Skewness-0.74926812
Sum1017.9077
Variance0.00023721932
MonotonicityNot monotonic
2023-12-13T01:15:36.003960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
35.088507 1
 
3.4%
35.100814 1
 
3.4%
35.083041 1
 
3.4%
35.089771 1
 
3.4%
35.108291 1
 
3.4%
35.113921 1
 
3.4%
35.105874 1
 
3.4%
35.099098 1
 
3.4%
35.10758 1
 
3.4%
35.109378 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
35.062931 1
3.4%
35.076001 1
3.4%
35.076175 1
3.4%
35.077522 1
3.4%
35.078891 1
3.4%
35.083041 1
3.4%
35.088507 1
3.4%
35.089771 1
3.4%
35.094967 1
3.4%
35.096733 1
3.4%
ValueCountFrequency (%)
35.119804 1
3.4%
35.11948 1
3.4%
35.119201 1
3.4%
35.116338 1
3.4%
35.115209 1
3.4%
35.113921 1
3.4%
35.112807 1
3.4%
35.112015 1
3.4%
35.109378 1
3.4%
35.1092902 1
3.4%

경도
Real number (ℝ)

UNIQUE 

Distinct29
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean129.01956
Minimum129.01234
Maximum129.02509
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-13T01:15:36.143187image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum129.01234
5-th percentile129.01292
Q1129.01669
median129.01942
Q3129.02303
95-th percentile129.02432
Maximum129.02509
Range0.012758
Interquartile range (IQR)0.006342

Descriptive statistics

Standard deviation0.0038516986
Coefficient of variation (CV)2.9853603 × 10-5
Kurtosis-1.1035945
Mean129.01956
Median Absolute Deviation (MAD)0.003278
Skewness-0.27412746
Sum3741.5672
Variance1.4835582 × 10-5
MonotonicityNot monotonic
2023-12-13T01:15:36.310105image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
129.024179 1
 
3.4%
129.018729 1
 
3.4%
129.017814 1
 
3.4%
129.023417 1
 
3.4%
129.022004 1
 
3.4%
129.017338 1
 
3.4%
129.020081 1
 
3.4%
129.022051 1
 
3.4%
129.01787 1
 
3.4%
129.023022 1
 
3.4%
Other values (19) 19
65.5%
ValueCountFrequency (%)
129.012336 1
3.4%
129.0127664 1
3.4%
129.013142 1
3.4%
129.015129 1
3.4%
129.015906 1
3.4%
129.016142 1
3.4%
129.016306 1
3.4%
129.016688 1
3.4%
129.017004 1
3.4%
129.017338 1
3.4%
ValueCountFrequency (%)
129.025094 1
3.4%
129.024399 1
3.4%
129.024207 1
3.4%
129.024179 1
3.4%
129.023967 1
3.4%
129.023497 1
3.4%
129.023417 1
3.4%
129.02303 1
3.4%
129.023022 1
3.4%
129.022051 1
3.4%

설치장소
Text

Distinct28
Distinct (%)96.6%
Missing0
Missing (%)0.0%
Memory size364.0 B
2023-12-13T01:15:36.586734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length20
Mean length16.482759
Min length13

Characters and Unicode

Total characters478
Distinct characters49
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

Unique27 ?
Unique (%)93.1%

Sample

1st row부산광역시 서구 충무대 221
2nd row부산광역시 서구 구덕로185번길22-11
3rd row부산광역시 서구 구덕로325
4th row부산광역시 서구 충무대로274
5th row부산광역시 서구 꽃마을로24
ValueCountFrequency (%)
부산광역시 29
30.2%
서구 29
30.2%
보수대로154번길 2
 
2.1%
남부민동 1
 
1.0%
동대로22 1
 
1.0%
고운들로181 1
 
1.0%
부용로 1
 
1.0%
28 1
 
1.0%
구덕로134번길 1
 
1.0%
45 1
 
1.0%
Other values (29) 29
30.2%
2023-12-13T01:15:37.202942image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
68
14.2%
구 35
 
7.3%
부 31
 
6.5%
광 29
 
6.1%
역 29
 
6.1%
시 29
 
6.1%
서 29
 
6.1%
산 29
 
6.1%
로 26
 
5.4%
1 23
 
4.8%
Other values (39) 150
31.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 321
67.2%
Decimal Number 85
 
17.8%
Space Separator 68
 
14.2%
Dash Punctuation 4
 
0.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 35
10.9%
부 31
9.7%
광 29
9.0%
역 29
9.0%
시 29
9.0%
서 29
9.0%
산 29
9.0%
로 26
8.1%
대 14
 
4.4%
길 7
 
2.2%
Other values (27) 63
19.6%
Decimal Number
ValueCountFrequency (%)
1 23
27.1%
2 19
22.4%
4 10
11.8%
3 8
 
9.4%
8 7
 
8.2%
5 7
 
8.2%
0 3
 
3.5%
7 3
 
3.5%
6 3
 
3.5%
9 2
 
2.4%
Space Separator
ValueCountFrequency (%)
68
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 321
67.2%
Common 157
32.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 35
10.9%
부 31
9.7%
광 29
9.0%
역 29
9.0%
시 29
9.0%
서 29
9.0%
산 29
9.0%
로 26
8.1%
대 14
 
4.4%
길 7
 
2.2%
Other values (27) 63
19.6%
Common
ValueCountFrequency (%)
68
43.3%
1 23
 
14.6%
2 19
 
12.1%
4 10
 
6.4%
3 8
 
5.1%
8 7
 
4.5%
5 7
 
4.5%
- 4
 
2.5%
0 3
 
1.9%
7 3
 
1.9%
Other values (2) 5
 
3.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 321
67.2%
ASCII 157
32.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
68
43.3%
1 23
 
14.6%
2 19
 
12.1%
4 10
 
6.4%
3 8
 
5.1%
8 7
 
4.5%
5 7
 
4.5%
- 4
 
2.5%
0 3
 
1.9%
7 3
 
1.9%
Other values (2) 5
 
3.2%
Hangul
ValueCountFrequency (%)
구 35
10.9%
부 31
9.7%
광 29
9.0%
역 29
9.0%
시 29
9.0%
서 29
9.0%
산 29
9.0%
로 26
8.1%
대 14
 
4.4%
길 7
 
2.2%
Other values (27) 63
19.6%

설치년도
Real number (ℝ)

Distinct14
Distinct (%)48.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2016.6552
Minimum2005
Maximum2021
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size393.0 B
2023-12-13T01:15:37.323351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2005
5-th percentile2007
Q12014
median2018
Q32021
95-th percentile2021
Maximum2021
Range16
Interquartile range (IQR)7

Descriptive statistics

Standard deviation4.9082719
Coefficient of variation (CV)0.0024338677
Kurtosis0.061182933
Mean2016.6552
Median Absolute Deviation (MAD)3
Skewness-1.0708675
Sum58483
Variance24.091133
MonotonicityIncreasing
2023-12-13T01:15:37.429054image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2021 10
34.5%
2018 6
20.7%
2007 2
 
6.9%
2005 1
 
3.4%
2009 1
 
3.4%
2011 1
 
3.4%
2012 1
 
3.4%
2013 1
 
3.4%
2014 1
 
3.4%
2015 1
 
3.4%
Other values (4) 4
 
13.8%
ValueCountFrequency (%)
2005 1
3.4%
2007 2
6.9%
2009 1
3.4%
2011 1
3.4%
2012 1
3.4%
2013 1
3.4%
2014 1
3.4%
2015 1
3.4%
2016 1
3.4%
2017 1
3.4%
ValueCountFrequency (%)
2021 10
34.5%
2020 1
 
3.4%
2019 1
 
3.4%
2018 6
20.7%
2017 1
 
3.4%
2016 1
 
3.4%
2015 1
 
3.4%
2014 1
 
3.4%
2013 1
 
3.4%
2012 1
 
3.4%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
부산광역시 서구
29 

Length

Max length8
Median length8
Mean length8
Min length8

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
부산광역시 서구 29
100.0%

Length

2023-12-13T01:15:37.549007image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:15:37.625912image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
부산광역시 29
50.0%
서구 29
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
051-240-4562
29 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row051-240-4562
2nd row051-240-4562
3rd row051-240-4562
4th row051-240-4562
5th row051-240-4562

Common Values

ValueCountFrequency (%)
051-240-4562 29
100.0%

Length

2023-12-13T01:15:37.713988image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T01:15:37.815675image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
051-240-4562 29
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size364.0 B
Minimum2022-03-24 00:00:00
Maximum2022-03-24 00:00:00
2023-12-13T01:15:37.895237image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:15:37.999812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2023-12-13T01:15:32.758926image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:15:32.257508image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:15:32.507812image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:15:32.850018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:15:32.338107image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:15:32.586369image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:15:32.935999image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:15:32.422533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T01:15:32.667713image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T01:15:38.075600image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
무인교통단속카메라관리번호도로노선명소재지도로명주소소재지지번주소위도경도설치장소설치년도
무인교통단속카메라관리번호1.0001.0001.0001.0001.0001.0001.0001.000
도로노선명1.0001.0001.0001.0000.8570.7061.0000.000
소재지도로명주소1.0001.0001.0000.9901.0000.9781.0001.000
소재지지번주소1.0001.0000.9901.0001.0001.0000.9900.748
위도1.0000.8571.0001.0001.0000.0001.0000.000
경도1.0000.7060.9781.0000.0001.0000.9780.000
설치장소1.0001.0001.0000.9901.0000.9781.0001.000
설치년도1.0000.0001.0000.7480.0000.0001.0001.000
2023-12-13T01:15:38.182876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
위도경도설치년도도로노선명
위도1.000-0.4960.0740.522
경도-0.4961.0000.0480.310
설치년도0.0740.0481.0000.000
도로노선명0.5220.3100.0001.000

Missing values

2023-12-13T01:15:33.066825image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T01:15:33.219351image/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

무인교통단속카메라관리번호시도명시군구명도로노선명소재지도로명주소소재지지번주소위도경도설치장소설치년도관리기관명관리기관전화번호데이터기준일자
0주정차-1부산광역시서구충무대로부산광역시 서구 충무대 221부산 서구 남부민동 652-335.088507129.024179부산광역시 서구 충무대 2212005부산광역시 서구051-240-45622022-03-24
1주정차-2부산광역시서구구덕로부산광역시 서구 구덕로185번길22-11부산 서구 아미동1가 10-135.100814129.018729부산광역시 서구 구덕로185번길22-112007부산광역시 서구051-240-45622022-03-24
2주정차-3부산광역시서구구덕로부산광역시 서구 구덕로325부산 서구 서대신동3가 389-135.112807129.016142부산광역시 서구 구덕로3252007부산광역시 서구051-240-45622022-03-24
3주정차-4부산광역시서구충무대로부산광역시 서구 충무대로274부산 서구 충무동1가 32-5435.094967129.024399부산광역시 서구 충무대로2742009부산광역시 서구051-240-45622022-03-24
4주정차-5부산광역시서구꽃마을로부산광역시 서구 꽃마을로24부산 서구 서대신동3가 147-235.116338129.013142부산광역시 서구 꽃마을로242011부산광역시 서구051-240-45622022-03-24
5주정차-6부산광역시서구동대로부산광역시 서구 동대로28부산 서구 동대신동3가 13-635.119804129.016306부산광역시 서구 동대로282012부산광역시 서구051-240-45622022-03-24
6주정차-7부산광역시서구보수대로부산광역시 서구 보수대로15부산 서구 토성동1가 51-135.098124129.025094부산광역시 서구 보수대로152013부산광역시 서구051-240-45622022-03-24
7주정차-8부산광역시서구충무대로부산광역시 충무대로21-1부산 서구 암남동 331-635.077522129.015906부산광역시 서구 충무대로21-12014부산광역시 서구051-240-45622022-03-24
8주정차-9부산광역시서구구덕로부산광역시 서구 구덕로 120부산 서구 토성동1가 55-935.096733129.021975부산광역시 서구 구덕로 1202015부산광역시 서구051-240-45622022-03-24
9주정차-10부산광역시서구동대로부산광역시 서구 동대로8부산 서구 동대신동3가 13-635.11948129.017004부산광역시 서구 동대로82016부산광역시 서구051-240-45622022-03-24
무인교통단속카메라관리번호시도명시군구명도로노선명소재지도로명주소소재지지번주소위도경도설치장소설치년도관리기관명관리기관전화번호데이터기준일자
19주정차-20부산광역시서구고운들로부산광역시 서구 고운들로181부산 서구 서대신2동 414-135.10929129.012766부산광역시 서구 고운들로1812021부산광역시 서구051-240-45622022-03-24
20주정차-21부산광역시서구보수대로부산광역시 서구 보수대로154번길부산 서구 동대신동1가 4-235.112015129.024207부산광역시 서구 보수대로154번길2021부산광역시 서구051-240-45622022-03-24
21주정차-22부산광역시서구보수대로부산광역시 서구 보수대로154번길동대신동1가 306-635.109378129.023022부산광역시 서구 보수대로154번길2021부산광역시 서구051-240-45622022-03-24
22주정차-23부산광역시서구부용로부산광역시 서구 부용로 28부산 서구 부용동2가 87-135.10758129.01787부산광역시 서구 부용로 282021부산광역시 서구051-240-45622022-03-24
23주정차-24부산광역시서구구덕로부산광역시 서구 구덕로134번길 45부산 서구 토성동2가 2535.099098129.022051부산광역시 서구 구덕로134번길 452021부산광역시 서구051-240-45622022-03-24
24주정차-25부산광역시서구고운들로부산광역시 서구 고운들로 12부산 서구 부용동2가 1135.105874129.020081부산광역시 서구 고운들로 122021부산광역시 서구051-240-45622022-03-24
25주정차-26부산광역시서구구덕로부산광역시 서구 구덕로334번길 26부산 서구 동대신동3가 355-135.113921129.017338부산광역시 서구 구덕로334번길 262021부산광역시 서구051-240-45622022-03-24
26주정차-27부산광역시서구대영로부산광역시 서구 동대신동1가 329-1부산 서구 동대신동1가 329-135.108291129.022004부산광역시 서구 동대신동1가 329-12021부산광역시 서구051-240-45622022-03-24
27주정차-28부산광역시서구천마로부산광역시 서구 천마로 160부산 서구 남부민동 67-4035.089771129.023417부산광역시 서구 천마로 1602021부산광역시 서구051-240-45622022-03-24
28주정차-29부산광역시서구천해로부산광역시 서구 남부민동 440-111부산 서구 남부민동 440-11135.083041129.017814부산광역시 서구 남부민동 440-1112021부산광역시 서구051-240-45622022-03-24