Overview

Dataset statistics

Number of variables15
Number of observations146
Missing cells19
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory18.0 KiB
Average record size in memory125.9 B

Variable types

Numeric4
Categorical8
Text3

Dataset

Description시흥시 관내 불법주정차단속CCTV 현황입니다. (불법주정차단속cctv에는 관리기관명, 소재지주소, 설치목적구분, 카메라대수, 카메라화소수, 촬영방면정보 등이 있습니다.)
URLhttps://www.data.go.kr/data/15040618/fileData.do

Alerts

관리기관명 has constant value ""Constant
카메라화소수 has constant value ""Constant
촬영방면정보 has constant value ""Constant
보관일수 has constant value ""Constant
데이터기준일자 has constant value ""Constant
관리기관전화번호 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
설치목적구분 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
카메라대수 is highly overall correlated with 설치목적구분 and 1 other fieldsHigh correlation
연번 is highly overall correlated with 설치년월 and 2 other fieldsHigh correlation
설치년월 is highly overall correlated with 연번High correlation
위도 is highly overall correlated with 경도High correlation
경도 is highly overall correlated with 위도High correlation
관리기관전화번호 is highly imbalanced (50.1%)Imbalance
소재지도로명주소 has 19 (13.0%) missing valuesMissing
연번 has unique valuesUnique
현장명 has unique valuesUnique

Reproduction

Analysis started2023-12-12 09:16:05.800228
Analysis finished2023-12-12 09:16:09.166690
Duration3.37 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct146
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean73.5
Minimum1
Maximum146
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T18:16:09.259770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile8.25
Q137.25
median73.5
Q3109.75
95-th percentile138.75
Maximum146
Range145
Interquartile range (IQR)72.5

Descriptive statistics

Standard deviation42.290661
Coefficient of variation (CV)0.57538314
Kurtosis-1.2
Mean73.5
Median Absolute Deviation (MAD)36.5
Skewness0
Sum10731
Variance1788.5
MonotonicityStrictly increasing
2023-12-12T18:16:09.420026image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
111 1
 
0.7%
95 1
 
0.7%
96 1
 
0.7%
97 1
 
0.7%
98 1
 
0.7%
99 1
 
0.7%
100 1
 
0.7%
101 1
 
0.7%
102 1
 
0.7%
Other values (136) 136
93.2%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
146 1
0.7%
145 1
0.7%
144 1
0.7%
143 1
0.7%
142 1
0.7%
141 1
0.7%
140 1
0.7%
139 1
0.7%
138 1
0.7%
137 1
0.7%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
경기도 시흥시
146 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row경기도 시흥시
2nd row경기도 시흥시
3rd row경기도 시흥시
4th row경기도 시흥시
5th row경기도 시흥시

Common Values

ValueCountFrequency (%)
경기도 시흥시 146
100.0%

Length

2023-12-12T18:16:09.613244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:16:09.721841image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
경기도 146
50.0%
시흥시 146
50.0%

소재지도로명주소
Text

MISSING 

Distinct117
Distinct (%)92.1%
Missing19
Missing (%)13.0%
Memory size1.3 KiB
2023-12-12T18:16:09.988577image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length16
Median length12
Mean length9.1732283
Min length4

Characters and Unicode

Total characters1165
Distinct characters101
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

Unique107 ?
Unique (%)84.3%

Sample

1st row은행로 164
2nd row복지로 57
3rd row신천3길 60
4th row복지로99번길 2
5th row수인로 3370
ValueCountFrequency (%)
목감남서로 8
 
3.5%
서울대학로278번길 8
 
3.5%
서울대학로264번길 7
 
3.0%
1 5
 
2.2%
은행로 4
 
1.7%
18 4
 
1.7%
정왕천로 4
 
1.7%
38 4
 
1.7%
비둘기공원7길 3
 
1.3%
장곡로 3
 
1.3%
Other values (145) 181
78.4%
2023-12-12T18:16:10.502420image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 107
 
9.2%
104
 
8.9%
1 73
 
6.3%
2 66
 
5.7%
길 64
 
5.5%
4 51
 
4.4%
3 49
 
4.2%
번 47
 
4.0%
7 43
 
3.7%
8 33
 
2.8%
Other values (91) 528
45.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 609
52.3%
Decimal Number 426
36.6%
Space Separator 104
 
8.9%
Dash Punctuation 26
 
2.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 107
17.6%
길 64
 
10.5%
번 47
 
7.7%
서 30
 
4.9%
대 22
 
3.6%
학 17
 
2.8%
울 17
 
2.8%
장 14
 
2.3%
천 14
 
2.3%
왕 12
 
2.0%
Other values (79) 265
43.5%
Decimal Number
ValueCountFrequency (%)
1 73
17.1%
2 66
15.5%
4 51
12.0%
3 49
11.5%
7 43
10.1%
8 33
7.7%
6 32
7.5%
5 31
7.3%
9 30
7.0%
0 18
 
4.2%
Space Separator
ValueCountFrequency (%)
104
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 26
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 609
52.3%
Common 556
47.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 107
17.6%
길 64
 
10.5%
번 47
 
7.7%
서 30
 
4.9%
대 22
 
3.6%
학 17
 
2.8%
울 17
 
2.8%
장 14
 
2.3%
천 14
 
2.3%
왕 12
 
2.0%
Other values (79) 265
43.5%
Common
ValueCountFrequency (%)
104
18.7%
1 73
13.1%
2 66
11.9%
4 51
9.2%
3 49
8.8%
7 43
7.7%
8 33
 
5.9%
6 32
 
5.8%
5 31
 
5.6%
9 30
 
5.4%
Other values (2) 44
7.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 609
52.3%
ASCII 556
47.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 107
17.6%
길 64
 
10.5%
번 47
 
7.7%
서 30
 
4.9%
대 22
 
3.6%
학 17
 
2.8%
울 17
 
2.8%
장 14
 
2.3%
천 14
 
2.3%
왕 12
 
2.0%
Other values (79) 265
43.5%
ASCII
ValueCountFrequency (%)
104
18.7%
1 73
13.1%
2 66
11.9%
4 51
9.2%
3 49
8.8%
7 43
7.7%
8 33
 
5.9%
6 32
 
5.8%
5 31
 
5.6%
9 30
 
5.4%
Other values (2) 44
7.9%

소재지지번주소
Text

Distinct133
Distinct (%)91.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T18:16:10.853548image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length12
Median length10
Mean length8.5273973
Min length6

Characters and Unicode

Total characters1245
Distinct characters43
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

Unique124 ?
Unique (%)84.9%

Sample

1st row대야동 580-3
2nd row대야동 469-3
3rd row신천동 751-26
4th row대야동 345-11
5th row신천동 731
ValueCountFrequency (%)
정왕동 47
 
17.9%
대야동 15
 
5.7%
신천동 11
 
4.2%
은행동 11
 
4.2%
장곡동 10
 
3.8%
산현동 8
 
3.1%
배곧동241 4
 
1.5%
조남동 4
 
1.5%
529 3
 
1.1%
833 3
 
1.1%
Other values (137) 146
55.7%
2023-12-12T18:16:11.322885image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
동 146
 
11.7%
121
 
9.7%
1 116
 
9.3%
2 91
 
7.3%
- 81
 
6.5%
5 70
 
5.6%
6 69
 
5.5%
정 59
 
4.7%
왕 59
 
4.7%
3 55
 
4.4%
Other values (33) 378
30.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 605
48.6%
Other Letter 438
35.2%
Space Separator 121
 
9.7%
Dash Punctuation 81
 
6.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 146
33.3%
정 59
13.5%
왕 59
13.5%
대 17
 
3.9%
야 17
 
3.9%
신 14
 
3.2%
천 14
 
3.2%
곡 13
 
3.0%
행 13
 
3.0%
은 13
 
3.0%
Other values (21) 73
16.7%
Decimal Number
ValueCountFrequency (%)
1 116
19.2%
2 91
15.0%
5 70
11.6%
6 69
11.4%
3 55
9.1%
7 52
8.6%
4 45
 
7.4%
8 41
 
6.8%
0 37
 
6.1%
9 29
 
4.8%
Space Separator
ValueCountFrequency (%)
121
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 81
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 807
64.8%
Hangul 438
35.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 146
33.3%
정 59
13.5%
왕 59
13.5%
대 17
 
3.9%
야 17
 
3.9%
신 14
 
3.2%
천 14
 
3.2%
곡 13
 
3.0%
행 13
 
3.0%
은 13
 
3.0%
Other values (21) 73
16.7%
Common
ValueCountFrequency (%)
121
15.0%
1 116
14.4%
2 91
11.3%
- 81
10.0%
5 70
8.7%
6 69
8.6%
3 55
6.8%
7 52
6.4%
4 45
 
5.6%
8 41
 
5.1%
Other values (2) 66
8.2%

Most occurring blocks

ValueCountFrequency (%)
ASCII 807
64.8%
Hangul 438
35.2%

Most frequent character per block

Hangul
ValueCountFrequency (%)
동 146
33.3%
정 59
13.5%
왕 59
13.5%
대 17
 
3.9%
야 17
 
3.9%
신 14
 
3.2%
천 14
 
3.2%
곡 13
 
3.0%
행 13
 
3.0%
은 13
 
3.0%
Other values (21) 73
16.7%
ASCII
ValueCountFrequency (%)
121
15.0%
1 116
14.4%
2 91
11.3%
- 81
10.0%
5 70
8.7%
6 69
8.6%
3 55
6.8%
7 52
6.4%
4 45
 
5.6%
8 41
 
5.1%
Other values (2) 66
8.2%

설치목적구분
Categorical

HIGH CORRELATION 

Distinct3
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
불법 주정차 단속
119 
어린이보호구역 내 실종자 확인 및 범죄예방, 불법 주정차 단속
16 
어린이보호구역 불법 주정차 단속
 
11

Length

Max length34
Median length9
Mean length12.342466
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row불법 주정차 단속
2nd row불법 주정차 단속
3rd row불법 주정차 단속
4th row불법 주정차 단속
5th row불법 주정차 단속

Common Values

ValueCountFrequency (%)
불법 주정차 단속 119
81.5%
어린이보호구역 내 실종자 확인 및 범죄예방, 불법 주정차 단속 16
 
11.0%
어린이보호구역 불법 주정차 단속 11
 
7.5%

Length

2023-12-12T18:16:11.547039image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:16:11.726079image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
불법 146
26.8%
주정차 146
26.8%
단속 146
26.8%
어린이보호구역 27
 
5.0%
내 16
 
2.9%
실종자 16
 
2.9%
확인 16
 
2.9%
및 16
 
2.9%
범죄예방 16
 
2.9%

카메라대수
Categorical

HIGH CORRELATION 

Distinct5
Distinct (%)3.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
4
56 
3
47 
5
26 
1
16 
2
 
1

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique1 ?
Unique (%)0.7%

Sample

1st row5
2nd row4
3rd row4
4th row3
5th row3

Common Values

ValueCountFrequency (%)
4 56
38.4%
3 47
32.2%
5 26
17.8%
1 16
 
11.0%
2 1
 
0.7%

Length

2023-12-12T18:16:11.891797image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:16:12.043265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 56
38.4%
3 47
32.2%
5 26
17.8%
1 16
 
11.0%
2 1
 
0.7%

카메라화소수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
200만화소
146 

Length

Max length6
Median length6
Mean length6
Min length6

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row200만화소
2nd row200만화소
3rd row200만화소
4th row200만화소
5th row200만화소

Common Values

ValueCountFrequency (%)
200만화소 146
100.0%

Length

2023-12-12T18:16:12.208198image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:16:12.325256image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
200만화소 146
100.0%

촬영방면정보
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
360도
146 

Length

Max length4
Median length4
Mean length4
Min length4

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row360도
2nd row360도
3rd row360도
4th row360도
5th row360도

Common Values

ValueCountFrequency (%)
360도 146
100.0%

Length

2023-12-12T18:16:12.439936image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:16:12.538102image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
360도 146
100.0%

보관일수
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
30일
146 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row30일
2nd row30일
3rd row30일
4th row30일
5th row30일

Common Values

ValueCountFrequency (%)
30일 146
100.0%

Length

2023-12-12T18:16:12.661584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:16:12.800059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
30일 146
100.0%

설치년월
Real number (ℝ)

HIGH CORRELATION 

Distinct14
Distinct (%)9.6%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2015.4726
Minimum2004
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T18:16:12.935492image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2004
5-th percentile2004
Q12008
median2019
Q32020
95-th percentile2021
Maximum2022
Range18
Interquartile range (IQR)12

Descriptive statistics

Standard deviation6.5581696
Coefficient of variation (CV)0.0032539116
Kurtosis-0.91766612
Mean2015.4726
Median Absolute Deviation (MAD)2
Skewness-0.92169807
Sum294259
Variance43.009589
MonotonicityNot monotonic
2023-12-12T18:16:13.093125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2020 34
23.3%
2019 22
15.1%
2021 20
13.7%
2005 17
11.6%
2004 16
11.0%
2017 9
 
6.2%
2018 7
 
4.8%
2022 6
 
4.1%
2014 4
 
2.7%
2016 4
 
2.7%
Other values (4) 7
 
4.8%
ValueCountFrequency (%)
2004 16
11.0%
2005 17
11.6%
2006 1
 
0.7%
2007 1
 
0.7%
2008 3
 
2.1%
2012 2
 
1.4%
2014 4
 
2.7%
2016 4
 
2.7%
2017 9
6.2%
2018 7
4.8%
ValueCountFrequency (%)
2022 6
 
4.1%
2021 20
13.7%
2020 34
23.3%
2019 22
15.1%
2018 7
 
4.8%
2017 9
 
6.2%
2016 4
 
2.7%
2014 4
 
2.7%
2012 2
 
1.4%
2008 3
 
2.1%

관리기관전화번호
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
031-310-5134
130 
031-310-6751/031-310-5134
16 

Length

Max length25
Median length12
Mean length13.424658
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row031-310-5134
2nd row031-310-5134
3rd row031-310-5134
4th row031-310-5134
5th row031-310-5134

Common Values

ValueCountFrequency (%)
031-310-5134 130
89.0%
031-310-6751/031-310-5134 16
 
11.0%

Length

2023-12-12T18:16:13.262803image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:16:13.398103image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
031-310-5134 130
89.0%
031-310-6751/031-310-5134 16
 
11.0%

위도
Real number (ℝ)

HIGH CORRELATION 

Distinct145
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.387749
Minimum37.330616
Maximum37.452134
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T18:16:13.528355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.330616
5-th percentile37.342819
Q137.357233
median37.375025
Q337.436455
95-th percentile37.446012
Maximum37.452134
Range0.12151796
Interquartile range (IQR)0.07922235

Descriptive statistics

Standard deviation0.038260817
Coefficient of variation (CV)0.0010233517
Kurtosis-1.3088252
Mean37.387749
Median Absolute Deviation (MAD)0.02633136
Skewness0.48186302
Sum5458.6114
Variance0.0014638901
MonotonicityNot monotonic
2023-12-12T18:16:13.699028image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
37.43645512 2
 
1.4%
37.44554926 1
 
0.7%
37.45125654 1
 
0.7%
37.43711728 1
 
0.7%
37.44382894 1
 
0.7%
37.439769 1
 
0.7%
37.43967453 1
 
0.7%
37.43489863 1
 
0.7%
37.3745534 1
 
0.7%
37.44647495 1
 
0.7%
Other values (135) 135
92.5%
ValueCountFrequency (%)
37.33061589 1
0.7%
37.33216818 1
0.7%
37.33643807 1
0.7%
37.33709004 1
0.7%
37.33773364 1
0.7%
37.3392692 1
0.7%
37.34136886 1
0.7%
37.34267913 1
0.7%
37.34323796 1
0.7%
37.34347646 1
0.7%
ValueCountFrequency (%)
37.45213385 1
0.7%
37.45125654 1
0.7%
37.44813869 1
0.7%
37.44776958 1
0.7%
37.44677237 1
0.7%
37.44647495 1
0.7%
37.44646554 1
0.7%
37.44616649 1
0.7%
37.44554926 1
0.7%
37.4453847 1
0.7%

경도
Real number (ℝ)

HIGH CORRELATION 

Distinct145
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean126.77194
Minimum126.68781
Maximum126.86153
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-12T18:16:13.888097image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum126.68781
5-th percentile126.72048
Q1126.73398
median126.78111
Q3126.79676
95-th percentile126.85023
Maximum126.86153
Range0.1737116
Interquartile range (IQR)0.0627714

Descriptive statistics

Standard deviation0.041769971
Coefficient of variation (CV)0.00032948908
Kurtosis-0.62971581
Mean126.77194
Median Absolute Deviation (MAD)0.03275265
Skewness0.33996397
Sum18508.704
Variance0.0017447305
MonotonicityNot monotonic
2023-12-12T18:16:14.085387image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
126.7929983 2
 
1.4%
126.79894 1
 
0.7%
126.7959444 1
 
0.7%
126.8020529 1
 
0.7%
126.8055726 1
 
0.7%
126.803026 1
 
0.7%
126.8067208 1
 
0.7%
126.8059298 1
 
0.7%
126.7340958 1
 
0.7%
126.7888371 1
 
0.7%
Other values (135) 135
92.5%
ValueCountFrequency (%)
126.6878145 1
0.7%
126.6917011 1
0.7%
126.6928665 1
0.7%
126.7065413 1
0.7%
126.7119878 1
0.7%
126.7154461 1
0.7%
126.7184746 1
0.7%
126.7203641 1
0.7%
126.7208466 1
0.7%
126.7227925 1
0.7%
ValueCountFrequency (%)
126.8615261 1
0.7%
126.8604544 1
0.7%
126.8602627 1
0.7%
126.8597812 1
0.7%
126.8546285 1
0.7%
126.8520353 1
0.7%
126.8513624 1
0.7%
126.8506521 1
0.7%
126.8489557 1
0.7%
126.8476238 1
0.7%

현장명
Text

UNIQUE 

Distinct146
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-12-12T18:16:14.307267image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length21
Mean length12.267123
Min length6

Characters and Unicode

Total characters1791
Distinct characters242
Distinct categories7 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique146 ?
Unique (%)100.0%

Sample

1st row대야 농협시지부사거리
2nd row신천 연합병원삼거리
3rd row신천 태광아파트앞
4th row대야 포도탑오거리
5th row신천 삼미시장앞
ValueCountFrequency (%)
앞 34
 
9.7%
사거리 19
 
5.4%
배곧 18
 
5.1%
인근 10
 
2.9%
삼거리 10
 
2.9%
신천 8
 
2.3%
입구 8
 
2.3%
대야 7
 
2.0%
목감 7
 
2.0%
정왕본 7
 
2.0%
Other values (171) 222
63.4%
2023-12-12T18:16:14.683157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
204
 
11.4%
앞 62
 
3.5%
리 61
 
3.4%
거 56
 
3.1%
트 42
 
2.3%
스 39
 
2.2%
사 33
 
1.8%
정 31
 
1.7%
1 30
 
1.7%
마 29
 
1.6%
Other values (232) 1204
67.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1418
79.2%
Space Separator 204
 
11.4%
Decimal Number 100
 
5.6%
Uppercase Letter 22
 
1.2%
Open Punctuation 21
 
1.2%
Close Punctuation 21
 
1.2%
Other Punctuation 5
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
앞 62
 
4.4%
리 61
 
4.3%
거 56
 
3.9%
트 42
 
3.0%
스 39
 
2.8%
사 33
 
2.3%
정 31
 
2.2%
마 29
 
2.0%
배 24
 
1.7%
교 24
 
1.7%
Other values (215) 1017
71.7%
Decimal Number
ValueCountFrequency (%)
1 30
30.0%
2 24
24.0%
0 20
20.0%
3 10
 
10.0%
5 8
 
8.0%
4 5
 
5.0%
6 3
 
3.0%
Uppercase Letter
ValueCountFrequency (%)
A 13
59.1%
S 4
 
18.2%
T 2
 
9.1%
P 2
 
9.1%
G 1
 
4.5%
Other Punctuation
ValueCountFrequency (%)
. 4
80.0%
, 1
 
20.0%
Space Separator
ValueCountFrequency (%)
204
100.0%
Open Punctuation
ValueCountFrequency (%)
( 21
100.0%
Close Punctuation
ValueCountFrequency (%)
) 21
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1418
79.2%
Common 351
 
19.6%
Latin 22
 
1.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
앞 62
 
4.4%
리 61
 
4.3%
거 56
 
3.9%
트 42
 
3.0%
스 39
 
2.8%
사 33
 
2.3%
정 31
 
2.2%
마 29
 
2.0%
배 24
 
1.7%
교 24
 
1.7%
Other values (215) 1017
71.7%
Common
ValueCountFrequency (%)
204
58.1%
1 30
 
8.5%
2 24
 
6.8%
( 21
 
6.0%
) 21
 
6.0%
0 20
 
5.7%
3 10
 
2.8%
5 8
 
2.3%
4 5
 
1.4%
. 4
 
1.1%
Other values (2) 4
 
1.1%
Latin
ValueCountFrequency (%)
A 13
59.1%
S 4
 
18.2%
T 2
 
9.1%
P 2
 
9.1%
G 1
 
4.5%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1418
79.2%
ASCII 373
 
20.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
204
54.7%
1 30
 
8.0%
2 24
 
6.4%
( 21
 
5.6%
) 21
 
5.6%
0 20
 
5.4%
A 13
 
3.5%
3 10
 
2.7%
5 8
 
2.1%
4 5
 
1.3%
Other values (7) 17
 
4.6%
Hangul
ValueCountFrequency (%)
앞 62
 
4.4%
리 61
 
4.3%
거 56
 
3.9%
트 42
 
3.0%
스 39
 
2.8%
사 33
 
2.3%
정 31
 
2.2%
마 29
 
2.0%
배 24
 
1.7%
교 24
 
1.7%
Other values (215) 1017
71.7%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.3 KiB
2023-08-25
146 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-08-25
2nd row2023-08-25
3rd row2023-08-25
4th row2023-08-25
5th row2023-08-25

Common Values

ValueCountFrequency (%)
2023-08-25 146
100.0%

Length

2023-12-12T18:16:14.861166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T18:16:14.981444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-08-25 146
100.0%

Interactions

2023-12-12T18:16:08.237569image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:16:06.473932image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:16:06.958157image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:16:07.462299image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:16:08.341969image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:16:06.576130image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:16:07.085624image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:16:07.909538image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:16:08.461231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:16:06.706254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:16:07.200580image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:16:08.036431image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:16:08.586928image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:16:06.831878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:16:07.326268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T18:16:08.132616image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T18:16:15.066230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번설치목적구분카메라대수설치년월관리기관전화번호위도경도
연번1.0000.8140.7570.8570.9490.5010.703
설치목적구분0.8141.0000.7150.7641.0000.6830.489
카메라대수0.7570.7151.0000.3031.0000.4200.539
설치년월0.8570.7640.3031.0000.3630.6670.659
관리기관전화번호0.9491.0001.0000.3631.0000.4930.658
위도0.5010.6830.4200.6670.4931.0000.725
경도0.7030.4890.5390.6590.6580.7251.000
2023-12-12T18:16:15.192273image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
관리기관전화번호설치목적구분카메라대수
관리기관전화번호1.0000.9970.990
설치목적구분0.9971.0000.698
카메라대수0.9900.6981.000
2023-12-12T18:16:15.291774image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번설치년월위도경도설치목적구분카메라대수관리기관전화번호
연번1.0000.9850.0810.0500.7090.4200.810
설치년월0.9851.0000.0990.0600.4770.1820.379
위도0.0810.0991.0000.5980.3840.2540.482
경도0.0500.0600.5981.0000.3280.2480.497
설치목적구분0.7090.4770.3840.3281.0000.6980.997
카메라대수0.4200.1820.2540.2480.6981.0000.990
관리기관전화번호0.8100.3790.4820.4970.9970.9901.000

Missing values

2023-12-12T18:16:08.786968image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T18:16:09.079273image/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

연번관리기관명소재지도로명주소소재지지번주소설치목적구분카메라대수카메라화소수촬영방면정보보관일수설치년월관리기관전화번호위도경도현장명데이터기준일자
01경기도 시흥시은행로 164대야동 580-3불법 주정차 단속5200만화소360도30일2004031-310-513437.445549126.79894대야 농협시지부사거리2023-08-25
12경기도 시흥시복지로 57대야동 469-3불법 주정차 단속4200만화소360도30일2004031-310-513437.444669126.789675신천 연합병원삼거리2023-08-25
23경기도 시흥시신천3길 60신천동 751-26불법 주정차 단속4200만화소360도30일2004031-310-513437.438773126.779707신천 태광아파트앞2023-08-25
34경기도 시흥시복지로99번길 2대야동 345-11불법 주정차 단속3200만화소360도30일2004031-310-513437.44777126.791885대야 포도탑오거리2023-08-25
45경기도 시흥시수인로 3370신천동 731불법 주정차 단속3200만화소360도30일2004031-310-513437.440493126.784774신천 삼미시장앞2023-08-25
56경기도 시흥시비둘기공원로 28대야동 542불법 주정차 단속5200만화소360도30일2004031-310-513437.443373126.792527대야 어린이도서관사거리2023-08-25
67경기도 시흥시동서로 1068조남동170-2불법 주정차 단속3200만화소360도30일2004031-310-513437.384262126.859781목감 장미아파트앞2023-08-25
78경기도 시흥시매화로45매화동193-6불법 주정차 단속4200만화소360도30일2012031-310-513437.415303126.814612매화 새마을금고앞2023-08-25
89경기도 시흥시정왕천로414번길2정왕동1516불법 주정차 단속5200만화소360도30일2005031-310-513437.344246126.752143경기스마트고교 삼거리 (2021.05 변경)2023-08-25
910경기도 시흥시호현로 10신천동 707불법 주정차 단속3200만화소360도30일2004031-310-513437.441766126.783681신천 삼거리버스정류장2023-08-25
연번관리기관명소재지도로명주소소재지지번주소설치목적구분카메라대수카메라화소수촬영방면정보보관일수설치년월관리기관전화번호위도경도현장명데이터기준일자
136137경기도 시흥시<NA>배곧동241불법 주정차 단속3200만화소360도30일2021031-310-513437.369556126.720364배곧생명공원 주차장 입구2023-08-25
137138경기도 시흥시<NA>배곧동241불법 주정차 단속5200만화소360도30일2021031-310-513437.367938126.722792서울대시흥캠퍼스 스마트관 사거리2023-08-25
138139경기도 시흥시<NA>배곧동241불법 주정차 단속3200만화소360도30일2021031-310-513437.36563126.720847서울대시흥캠퍼스 버스정류장2023-08-25
139140경기도 시흥시<NA>배곧동241불법 주정차 단속4200만화소360도30일2021031-310-513437.363095126.718475서울대시흥캠퍼스 교육협력동 사거리2023-08-25
140141경기도 시흥시호현로27번길 25-1신천동703-33불법 주정차 단속4200만화소360도30일2022031-310-513437.444131126.782676소래초교 알콩달콩주택앞2023-08-25
141142경기도 시흥시정왕대로53번길 14정왕동1867-2어린이보호구역 불법 주정차 단속5200만화소360도30일2022031-310-513437.356698126.724522서해초교 앞 사거리2023-08-25
142143경기도 시흥시정왕대로53번길 14정왕동1867-2어린이보호구역 불법 주정차 단속3200만화소360도30일2022031-310-513437.355899126.725893서해초교 후문 인근2023-08-25
143144경기도 시흥시<NA>월곶동1061-6불법 주정차 단속4200만화소360도30일2022031-310-513437.381258126.766479시흥센트럴헤센 정문2023-08-25
144145경기도 시흥시<NA>월곶동1065-3불법 주정차 단속4200만화소360도30일2022031-310-513437.380211126.767023시흥센트럴헤센 후문2023-08-25
145146경기도 시흥시목감둘레로99조남동674어린이보호구역 불법 주정차 단속4200만화소360도30일2022031-310-513437.371972126.852035운흥초등학교2023-08-25