Overview

Dataset statistics

Number of variables21
Number of observations75
Missing cells241
Missing cells (%)15.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory13.2 KiB
Average record size in memory179.8 B

Variable types

Text4
Categorical10
Unsupported3
Numeric3
DateTime1

Dataset

Description대구광역시_남구_무인교통단속카메라
Author대구광역시 남구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15028200&dataSetDetailId=150282001864fb2b5bd5a_202003241347&provdMethod=FILE

Alerts

시도명 has constant value ""Constant
시군구명 has constant value ""Constant
도로종류 has constant value ""Constant
도로노선방향 has constant value ""Constant
단속구분 has constant value ""Constant
제한속도 has constant value ""Constant
관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
도로노선번호 has 75 (100.0%) missing valuesMissing
소재지도로명주소 has 12 (16.0%) missing valuesMissing
소재지지번주소 has 4 (5.3%) missing valuesMissing
단속구간위치구분 has 75 (100.0%) missing valuesMissing
과속단속구간길이 has 75 (100.0%) missing valuesMissing
무인교통단속카메라관리번호 has unique valuesUnique
도로노선번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
단속구간위치구분 is an unsupported type, check if it needs cleaning or further analysisUnsupported
과속단속구간길이 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-02 04:29:08.652627
Analysis finished2023-12-02 04:29:09.122060
Duration0.47 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

무인교통단속카메라관리번호
Text

UNIQUE 

Distinct75
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size732.0 B
2023-12-02T13:29:09.599827image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length4
Median length4
Mean length4
Min length4

Characters and Unicode

Total characters300
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique75 ?
Unique (%)100.0%

Sample

1st row주차01
2nd row주차02
3rd row주차03
4th row주차04
5th row주차05
ValueCountFrequency (%)
주차01 1
 
1.3%
주차39 1
 
1.3%
주차55 1
 
1.3%
주차54 1
 
1.3%
주차53 1
 
1.3%
주차52 1
 
1.3%
주차51 1
 
1.3%
주차50 1
 
1.3%
주차49 1
 
1.3%
주차48 1
 
1.3%
Other values (65) 65
86.7%
2023-12-02T13:29:10.086658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
주 75
25.0%
차 75
25.0%
1 18
 
6.0%
2 18
 
6.0%
3 18
 
6.0%
4 18
 
6.0%
5 18
 
6.0%
6 17
 
5.7%
0 16
 
5.3%
7 13
 
4.3%
Other values (2) 14
 
4.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 150
50.0%
Decimal Number 150
50.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
1 18
12.0%
2 18
12.0%
3 18
12.0%
4 18
12.0%
5 18
12.0%
6 17
11.3%
0 16
10.7%
7 13
8.7%
8 7
 
4.7%
9 7
 
4.7%
Other Letter
ValueCountFrequency (%)
주 75
50.0%
차 75
50.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 150
50.0%
Common 150
50.0%

Most frequent character per script

Common
ValueCountFrequency (%)
1 18
12.0%
2 18
12.0%
3 18
12.0%
4 18
12.0%
5 18
12.0%
6 17
11.3%
0 16
10.7%
7 13
8.7%
8 7
 
4.7%
9 7
 
4.7%
Hangul
ValueCountFrequency (%)
주 75
50.0%
차 75
50.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 150
50.0%
ASCII 150
50.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
주 75
50.0%
차 75
50.0%
ASCII
ValueCountFrequency (%)
1 18
12.0%
2 18
12.0%
3 18
12.0%
4 18
12.0%
5 18
12.0%
6 17
11.3%
0 16
10.7%
7 13
8.7%
8 7
 
4.7%
9 7
 
4.7%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
대구광역시
75 

Length

Max length5
Median length5
Mean length5
Min length5

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구광역시 75
100.0%

Length

2023-12-02T13:29:10.265777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-02T13:29:10.370621image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 75
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
남구
75 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
남구 75
100.0%

Length

2023-12-02T13:29:10.498359image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-02T13:29:10.632976image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
남구 75
100.0%

도로종류
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
시도
75 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
시도 75
100.0%

Length

2023-12-02T13:29:10.804179image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-02T13:29:10.929966image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
시도 75
100.0%

도로노선번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

도로노선명
Categorical

Distinct23
Distinct (%)30.7%
Missing0
Missing (%)0.0%
Memory size732.0 B
대명로
12 
중앙대로
7 
대봉로
6 
봉덕로
5 
현충로
5 
Other values (18)
40 

Length

Max length5
Median length3
Mean length3.28
Min length3

Unique

Unique6 ?
Unique (%)8.0%

Sample

1st row명덕로
2nd row월배로
3rd row월배로
4th row대명서로
5th row봉덕로

Common Values

ValueCountFrequency (%)
대명로 12
16.0%
중앙대로 7
 
9.3%
대봉로 6
 
8.0%
봉덕로 5
 
6.7%
현충로 5
 
6.7%
앞산순환로 4
 
5.3%
성당로 4
 
5.3%
이천로 4
 
5.3%
큰골길 3
 
4.0%
용두길 3
 
4.0%
Other values (13) 22
29.3%

Length

2023-12-02T13:29:11.058603image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
대명로 12
16.0%
중앙대로 7
 
9.3%
대봉로 6
 
8.0%
봉덕로 5
 
6.7%
현충로 5
 
6.7%
앞산순환로 4
 
5.3%
성당로 4
 
5.3%
이천로 4
 
5.3%
대명서로 3
 
4.0%
효성로 3
 
4.0%
Other values (13) 22
29.3%

도로노선방향
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
3
75 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
3 75
100.0%

Length

2023-12-02T13:29:11.210919image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-02T13:29:11.322690image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 75
100.0%

소재지도로명주소
Text

MISSING 

Distinct60
Distinct (%)95.2%
Missing12
Missing (%)16.0%
Memory size732.0 B
2023-12-02T13:29:11.654176image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length26
Median length23
Mean length17.063492
Min length15

Characters and Unicode

Total characters1075
Distinct characters60
Distinct categories7 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique57 ?
Unique (%)90.5%

Sample

1st row대구광역시 남구 명덕로 56-2
2nd row대구광역시 남구 월배로 496
3rd row대구광역시 남구 월배로 480
4th row대구광역시 남구 대명서로 165
5th row대구광역시 남구 봉덕로 117
ValueCountFrequency (%)
대구광역시 63
24.4%
남구 63
24.4%
대명로 9
 
3.5%
중앙대로 5
 
1.9%
봉덕로 5
 
1.9%
현충로 4
 
1.6%
앞산순환로 3
 
1.2%
100 3
 
1.2%
성당로 3
 
1.2%
대명서로 3
 
1.2%
Other values (84) 97
37.6%
2023-12-02T13:29:12.277629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
195
18.1%
구 126
11.7%
대 87
 
8.1%
역 64
 
6.0%
남 64
 
6.0%
광 63
 
5.9%
시 63
 
5.9%
로 50
 
4.7%
1 36
 
3.3%
2 32
 
3.0%
Other values (50) 295
27.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 675
62.8%
Space Separator 195
 
18.1%
Decimal Number 192
 
17.9%
Dash Punctuation 7
 
0.7%
Close Punctuation 2
 
0.2%
Open Punctuation 2
 
0.2%
Other Punctuation 2
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 126
18.7%
대 87
12.9%
역 64
9.5%
남 64
9.5%
광 63
9.3%
시 63
9.3%
로 50
 
7.4%
길 25
 
3.7%
명 19
 
2.8%
덕 8
 
1.2%
Other values (35) 106
15.7%
Decimal Number
ValueCountFrequency (%)
1 36
18.8%
2 32
16.7%
4 26
13.5%
5 19
9.9%
0 16
8.3%
7 15
7.8%
8 13
 
6.8%
6 13
 
6.8%
9 12
 
6.2%
3 10
 
5.2%
Space Separator
ValueCountFrequency (%)
195
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%
Close Punctuation
ValueCountFrequency (%)
) 2
100.0%
Open Punctuation
ValueCountFrequency (%)
( 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 675
62.8%
Common 400
37.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 126
18.7%
대 87
12.9%
역 64
9.5%
남 64
9.5%
광 63
9.3%
시 63
9.3%
로 50
 
7.4%
길 25
 
3.7%
명 19
 
2.8%
덕 8
 
1.2%
Other values (35) 106
15.7%
Common
ValueCountFrequency (%)
195
48.8%
1 36
 
9.0%
2 32
 
8.0%
4 26
 
6.5%
5 19
 
4.8%
0 16
 
4.0%
7 15
 
3.8%
8 13
 
3.2%
6 13
 
3.2%
9 12
 
3.0%
Other values (5) 23
 
5.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 675
62.8%
ASCII 400
37.2%

Most frequent character per block

ASCII
ValueCountFrequency (%)
195
48.8%
1 36
 
9.0%
2 32
 
8.0%
4 26
 
6.5%
5 19
 
4.8%
0 16
 
4.0%
7 15
 
3.8%
8 13
 
3.2%
6 13
 
3.2%
9 12
 
3.0%
Other values (5) 23
 
5.8%
Hangul
ValueCountFrequency (%)
구 126
18.7%
대 87
12.9%
역 64
9.5%
남 64
9.5%
광 63
9.3%
시 63
9.3%
로 50
 
7.4%
길 25
 
3.7%
명 19
 
2.8%
덕 8
 
1.2%
Other values (35) 106
15.7%

소재지지번주소
Text

MISSING 

Distinct67
Distinct (%)94.4%
Missing4
Missing (%)5.3%
Memory size732.0 B
2023-12-02T13:29:12.672290image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length18.492958
Min length16

Characters and Unicode

Total characters1313
Distinct characters25
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

Unique63 ?
Unique (%)88.7%

Sample

1st row대구광역시 남구 대명동 2276-8
2nd row대구광역시 남구 대명동 1135-3
3rd row대구광역시 남구 대명동 1140-1
4th row대구광역시 남구 대명동 1583-8
5th row대구광역시 남구 봉덕동 954-12
ValueCountFrequency (%)
대구광역시 71
25.0%
남구 71
25.0%
대명동 44
15.5%
봉덕동 19
 
6.7%
이천동 8
 
2.8%
산227-5 2
 
0.7%
960 2
 
0.7%
671 2
 
0.7%
1959-27 2
 
0.7%
1709 1
 
0.4%
Other values (62) 62
21.8%
2023-12-02T13:29:13.223877image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
213
16.2%
구 142
 
10.8%
대 115
 
8.8%
광 71
 
5.4%
역 71
 
5.4%
시 71
 
5.4%
남 71
 
5.4%
동 71
 
5.4%
1 71
 
5.4%
2 57
 
4.3%
Other values (15) 360
27.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 712
54.2%
Decimal Number 332
25.3%
Space Separator 213
 
16.2%
Dash Punctuation 56
 
4.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 142
19.9%
대 115
16.2%
광 71
10.0%
역 71
10.0%
시 71
10.0%
남 71
10.0%
동 71
10.0%
명 44
 
6.2%
봉 19
 
2.7%
덕 19
 
2.7%
Other values (3) 18
 
2.5%
Decimal Number
ValueCountFrequency (%)
1 71
21.4%
2 57
17.2%
3 31
9.3%
6 30
9.0%
5 29
8.7%
0 26
 
7.8%
7 24
 
7.2%
4 24
 
7.2%
9 23
 
6.9%
8 17
 
5.1%
Space Separator
ValueCountFrequency (%)
213
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 56
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 712
54.2%
Common 601
45.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 142
19.9%
대 115
16.2%
광 71
10.0%
역 71
10.0%
시 71
10.0%
남 71
10.0%
동 71
10.0%
명 44
 
6.2%
봉 19
 
2.7%
덕 19
 
2.7%
Other values (3) 18
 
2.5%
Common
ValueCountFrequency (%)
213
35.4%
1 71
 
11.8%
2 57
 
9.5%
- 56
 
9.3%
3 31
 
5.2%
6 30
 
5.0%
5 29
 
4.8%
0 26
 
4.3%
7 24
 
4.0%
4 24
 
4.0%
Other values (2) 40
 
6.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 712
54.2%
ASCII 601
45.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
213
35.4%
1 71
 
11.8%
2 57
 
9.5%
- 56
 
9.3%
3 31
 
5.2%
6 30
 
5.0%
5 29
 
4.8%
0 26
 
4.3%
7 24
 
4.0%
4 24
 
4.0%
Other values (2) 40
 
6.7%
Hangul
ValueCountFrequency (%)
구 142
19.9%
대 115
16.2%
광 71
10.0%
역 71
10.0%
시 71
10.0%
남 71
10.0%
동 71
10.0%
명 44
 
6.2%
봉 19
 
2.7%
덕 19
 
2.7%
Other values (3) 18
 
2.5%

위도
Real number (ℝ)

Distinct72
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.842697
Minimum35.828958
Maximum35.858742
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2023-12-02T13:29:13.721654image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.828958
5-th percentile35.831643
Q135.83653
median35.84273
Q335.850139
95-th percentile35.854197
Maximum35.858742
Range0.02978446
Interquartile range (IQR)0.013609685

Descriptive statistics

Standard deviation0.0075603071
Coefficient of variation (CV)0.0002109302
Kurtosis-1.092586
Mean35.842697
Median Absolute Deviation (MAD)0.00718273
Skewness0.099059374
Sum2688.2023
Variance5.7158244 × 10-5
MonotonicityNot monotonic
2023-12-02T13:29:14.325040image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.85074301 2
 
2.7%
35.8502645 2
 
2.7%
35.82895754 2
 
2.7%
35.85007863 1
 
1.3%
35.8535697 1
 
1.3%
35.8352097 1
 
1.3%
35.8304366 1
 
1.3%
35.83436385 1
 
1.3%
35.83787764 1
 
1.3%
35.84427387 1
 
1.3%
Other values (62) 62
82.7%
ValueCountFrequency (%)
35.82895754 2
2.7%
35.8304366 1
1.3%
35.8308308 1
1.3%
35.83199073 1
1.3%
35.8322439 1
1.3%
35.83272838 1
1.3%
35.83364777 1
1.3%
35.8343118 1
1.3%
35.83436385 1
1.3%
35.83440489 1
1.3%
ValueCountFrequency (%)
35.858742 1
1.3%
35.85597395 1
1.3%
35.85509508 1
1.3%
35.85420413 1
1.3%
35.85419424 1
1.3%
35.8535697 1
1.3%
35.85278775 1
1.3%
35.85224943 1
1.3%
35.85202058 1
1.3%
35.85186919 1
1.3%

경도
Real number (ℝ)

Distinct72
Distinct (%)96.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.58525
Minimum128.55643
Maximum128.60742
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2023-12-02T13:29:15.370498image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.55643
5-th percentile128.55827
Q1128.57313
median128.58868
Q3128.5994
95-th percentile128.60491
Maximum128.60742
Range0.0509948
Interquartile range (IQR)0.02626975

Descriptive statistics

Standard deviation0.015584442
Coefficient of variation (CV)0.00012119929
Kurtosis-1.1597016
Mean128.58525
Median Absolute Deviation (MAD)0.0136087
Skewness-0.31869433
Sum9643.8939
Variance0.00024287482
MonotonicityNot monotonic
2023-12-02T13:29:15.602738image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.6034142 2
 
2.7%
128.589721 2
 
2.7%
128.5890355 2
 
2.7%
128.60368 1
 
1.3%
128.5864801 1
 
1.3%
128.6006506 1
 
1.3%
128.5616736 1
 
1.3%
128.5819866 1
 
1.3%
128.5990233 1
 
1.3%
128.5813642 1
 
1.3%
Other values (62) 62
82.7%
ValueCountFrequency (%)
128.5564268 1
1.3%
128.5565908 1
1.3%
128.557072 1
1.3%
128.5576287 1
1.3%
128.5585501 1
1.3%
128.5606878 1
1.3%
128.5616736 1
1.3%
128.5619537 1
1.3%
128.5622803 1
1.3%
128.562936 1
1.3%
ValueCountFrequency (%)
128.6074216 1
1.3%
128.6056603 1
1.3%
128.6051217 1
1.3%
128.6049645 1
1.3%
128.6048913 1
1.3%
128.6048146 1
1.3%
128.6046237 1
1.3%
128.6046189 1
1.3%
128.6043455 1
1.3%
128.6037943 1
1.3%

설치장소
Text

Distinct73
Distinct (%)97.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
2023-12-02T13:29:15.976619image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length17
Median length14
Mean length8.84
Min length4

Characters and Unicode

Total characters663
Distinct characters169
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

Unique71 ?
Unique (%)94.7%

Sample

1st row대명시장
2nd row서부정류장
3rd row우리은행
4th row관문시장
5th row봉덕시장
ValueCountFrequency (%)
앞 18
 
13.4%
대명역 5
 
3.7%
삼거리 4
 
3.0%
센트럴엘리프 4
 
3.0%
입구 3
 
2.2%
교대역하늘채뉴센트원 2
 
1.5%
고산골 2
 
1.5%
교차로 2
 
1.5%
정문 2
 
1.5%
대봉교역금호어울림에듀리버 2
 
1.5%
Other values (84) 90
67.2%
2023-12-02T13:29:16.515342image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
59
 
8.9%
대 28
 
4.2%
앞 27
 
4.1%
교 23
 
3.5%
명 15
 
2.3%
리 14
 
2.1%
봉 12
 
1.8%
학 12
 
1.8%
장 12
 
1.8%
역 12
 
1.8%
Other values (159) 449
67.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 592
89.3%
Space Separator 59
 
8.9%
Decimal Number 10
 
1.5%
Dash Punctuation 2
 
0.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
대 28
 
4.7%
앞 27
 
4.6%
교 23
 
3.9%
명 15
 
2.5%
리 14
 
2.4%
봉 12
 
2.0%
학 12
 
2.0%
장 12
 
2.0%
역 12
 
2.0%
성 11
 
1.9%
Other values (154) 426
72.0%
Decimal Number
ValueCountFrequency (%)
1 5
50.0%
2 4
40.0%
9 1
 
10.0%
Space Separator
ValueCountFrequency (%)
59
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 592
89.3%
Common 71
 
10.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
대 28
 
4.7%
앞 27
 
4.6%
교 23
 
3.9%
명 15
 
2.5%
리 14
 
2.4%
봉 12
 
2.0%
학 12
 
2.0%
장 12
 
2.0%
역 12
 
2.0%
성 11
 
1.9%
Other values (154) 426
72.0%
Common
ValueCountFrequency (%)
59
83.1%
1 5
 
7.0%
2 4
 
5.6%
- 2
 
2.8%
9 1
 
1.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 592
89.3%
ASCII 71
 
10.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
59
83.1%
1 5
 
7.0%
2 4
 
5.6%
- 2
 
2.8%
9 1
 
1.4%
Hangul
ValueCountFrequency (%)
대 28
 
4.7%
앞 27
 
4.6%
교 23
 
3.9%
명 15
 
2.5%
리 14
 
2.4%
봉 12
 
2.0%
학 12
 
2.0%
장 12
 
2.0%
역 12
 
2.0%
성 11
 
1.9%
Other values (154) 426
72.0%

단속구분
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
4
75 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
4 75
100.0%

Length

2023-12-02T13:29:16.670190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-02T13:29:16.796562image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 75
100.0%

제한속도
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
0
75 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row0
2nd row0
3rd row0
4th row0
5th row0

Common Values

ValueCountFrequency (%)
0 75
100.0%

Length

2023-12-02T13:29:16.925345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-02T13:29:17.077231image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 75
100.0%

단속구간위치구분
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

과속단속구간길이
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing75
Missing (%)100.0%
Memory size807.0 B

보호구역구분
Categorical

Distinct4
Distinct (%)5.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
99
49 
2
18 
<NA>
6 
1
 
2

Length

Max length4
Median length2
Mean length1.8933333
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row99
2nd row99
3rd row99
4th row99
5th row99

Common Values

ValueCountFrequency (%)
99 49
65.3%
2 18
 
24.0%
<NA> 6
 
8.0%
1 2
 
2.7%

Length

2023-12-02T13:29:17.214304image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-02T13:29:17.344330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
99 49
65.3%
2 18
 
24.0%
na 6
 
8.0%
1 2
 
2.7%

설치연도
Real number (ℝ)

Distinct14
Distinct (%)18.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2018.0667
Minimum2005
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size807.0 B
2023-12-02T13:29:17.481052image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2005
5-th percentile2006.7
Q12017
median2019
Q32022
95-th percentile2023
Maximum2023
Range18
Interquartile range (IQR)5

Descriptive statistics

Standard deviation4.9765215
Coefficient of variation (CV)0.0024659847
Kurtosis0.96172562
Mean2018.0667
Median Absolute Deviation (MAD)2
Skewness-1.3506167
Sum151355
Variance24.765766
MonotonicityNot monotonic
2023-12-02T13:29:17.775763image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=14)
ValueCountFrequency (%)
2018 13
17.3%
2021 12
16.0%
2022 11
14.7%
2023 10
13.3%
2017 8
10.7%
2019 5
 
6.7%
2005 2
 
2.7%
2006 2
 
2.7%
2007 2
 
2.7%
2008 2
 
2.7%
Other values (4) 8
10.7%
ValueCountFrequency (%)
2005 2
 
2.7%
2006 2
 
2.7%
2007 2
 
2.7%
2008 2
 
2.7%
2010 2
 
2.7%
2013 2
 
2.7%
2014 2
 
2.7%
2017 8
10.7%
2018 13
17.3%
2019 5
 
6.7%
ValueCountFrequency (%)
2023 10
13.3%
2022 11
14.7%
2021 12
16.0%
2020 2
 
2.7%
2019 5
 
6.7%
2018 13
17.3%
2017 8
10.7%
2014 2
 
2.7%
2013 2
 
2.7%
2010 2
 
2.7%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
대구광역시 남구청
75 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row대구광역시 남구청
2nd row대구광역시 남구청
3rd row대구광역시 남구청
4th row대구광역시 남구청
5th row대구광역시 남구청

Common Values

ValueCountFrequency (%)
대구광역시 남구청 75
100.0%

Length

2023-12-02T13:29:18.204178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-02T13:29:18.497695image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 75
50.0%
남구청 75
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
053-664-3023
75 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row053-664-3023
2nd row053-664-3023
3rd row053-664-3023
4th row053-664-3023
5th row053-664-3023

Common Values

ValueCountFrequency (%)
053-664-3023 75
100.0%

Length

2023-12-02T13:29:18.921876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-02T13:29:19.129125image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
053-664-3023 75
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size732.0 B
Minimum2023-11-06 00:00:00
Maximum2023-11-06 00:00:00
2023-12-02T13:29:19.271285image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-02T13:29:19.412471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

무인교통단속카메라관리번호시도명시군구명도로종류도로노선번호도로노선명도로노선방향소재지도로명주소소재지지번주소위도경도설치장소단속구분제한속도단속구간위치구분과속단속구간길이보호구역구분설치연도관리기관명관리기관전화번호데이터기준일자
0주차01대구광역시남구시도<NA>명덕로3대구광역시 남구 명덕로 56-2대구광역시 남구 대명동 2276-835.858742128.576924대명시장40<NA><NA>992005대구광역시 남구청053-664-30232023-11-06
1주차02대구광역시남구시도<NA>월배로3대구광역시 남구 월배로 496대구광역시 남구 대명동 1135-335.836663128.557072서부정류장40<NA><NA>992017대구광역시 남구청053-664-30232023-11-06
2주차03대구광역시남구시도<NA>월배로3대구광역시 남구 월배로 480대구광역시 남구 대명동 1140-135.835917128.556591우리은행40<NA><NA>992017대구광역시 남구청053-664-30232023-11-06
3주차04대구광역시남구시도<NA>대명서로3대구광역시 남구 대명서로 165대구광역시 남구 대명동 1583-835.83462128.556427관문시장40<NA><NA>992005대구광역시 남구청053-664-30232023-11-06
4주차05대구광역시남구시도<NA>봉덕로3대구광역시 남구 봉덕로 117대구광역시 남구 봉덕동 954-1235.844714128.60318봉덕시장40<NA><NA>992006대구광역시 남구청053-664-30232023-11-06
5주차06대구광역시남구시도<NA>대명로3대구광역시 남구 대명로 164대구광역시 남구 대명동 902-235.838828128.575783안지랑네거리40<NA><NA>992006대구광역시 남구청053-664-30232023-11-06
6주차07대구광역시남구시도<NA>성당로3대구광역시 남구 성당로 194대구광역시 남구 대명동 3023-2435.8502128.572555성당시장-140<NA><NA>992007대구광역시 남구청053-664-30232023-11-06
7주차08대구광역시남구시도<NA>성당로3대구광역시 남구 성당로 168대구광역시 남구 대명동 3037-3635.848777128.570409성당시장-240<NA><NA>992007대구광역시 남구청053-664-30232023-11-06
8주차09대구광역시남구시도<NA>중앙대로3대구광역시 남구 중앙대로 147대구광역시 남구 대명동 37-535.846519128.590186대구은행40<NA><NA>992008대구광역시 남구청053-664-30232023-11-06
9주차10대구광역시남구시도<NA>대명로3대구광역시 남구 대명로 299-1대구광역시 남구 대명동 64-535.844759128.588679명덕시장 앞40<NA><NA>992008대구광역시 남구청053-664-30232023-11-06
무인교통단속카메라관리번호시도명시군구명도로종류도로노선번호도로노선명도로노선방향소재지도로명주소소재지지번주소위도경도설치장소단속구분제한속도단속구간위치구분과속단속구간길이보호구역구분설치연도관리기관명관리기관전화번호데이터기준일자
65주차66대구광역시남구시도<NA>대봉로3<NA>대구광역시 남구 이천동 67135.850743128.603414대봉교역태왕아너스40<NA><NA>992023대구광역시 남구청053-664-30232023-11-06
66주차67대구광역시남구시도<NA>대봉로3<NA>대구광역시 남구 이천동 271-1135.852249128.604964대봉교역태왕아너스40<NA><NA>22023대구광역시 남구청053-664-30232023-11-06
67주차68대구광역시남구시도<NA>대덕로3<NA>대구광역시 남구 봉덕동 72235.84273128.597984봉덕2차화성파크드림40<NA><NA>992023대구광역시 남구청053-664-30232023-11-06
68주차69대구광역시남구시도<NA>대덕로3대구광역시 남구 이천로5길 18대구광역시 남구 봉덕동 722-135.843213128.596992봉덕2차화성파크드림40<NA><NA>992023대구광역시 남구청053-664-30232023-11-06
69주차70대구광역시남구시도<NA>대봉로3<NA>대구광역시 남구 이천동 67135.850743128.603414대봉교역금호어울림에듀리버 남서편40<NA><NA><NA>2023대구광역시 남구청053-664-30232023-11-06
70주차71대구광역시남구시도<NA>명덕로3<NA>대구광역시 남구 이천동 121-40035.852021128.60566대봉교역금호어울림에듀리버 북동편40<NA><NA><NA>2023대구광역시 남구청053-664-30232023-11-06
71주차72대구광역시남구시도<NA>대명남로3대구광역시 남구 대명남로 140<NA>35.834971128.573697룸비니유치원40<NA><NA><NA>2023대구광역시 남구청053-664-30232023-11-06
72주차73대구광역시남구시도<NA>현충로3대구광역시 남구 현충로 115<NA>35.843136128.5797매일스크린골프 앞40<NA><NA><NA>2023대구광역시 남구청053-664-30232023-11-06
73주차74대구광역시남구시도<NA>대명로3대구광역시 남구 대명로 89<NA>35.839751128.567543대명동 버거킹 앞40<NA><NA><NA>2023대구광역시 남구청053-664-30232023-11-06
74주차75대구광역시남구시도<NA>희망로3대구광역시 남구 희망로 5길 12<NA>35.848773128.600908대성유니드정문40<NA><NA><NA>2023대구광역시 남구청053-664-30232023-11-06