Overview

Dataset statistics

Number of variables21
Number of observations51
Missing cells164
Missing cells (%)15.3%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory9.0 KiB
Average record size in memory181.6 B

Variable types

Numeric4
Categorical10
Unsupported3
Text4

Dataset

Description대구광역시_중구_무인교통단속카메라
Author대구광역시 중구
URLhttp://data.daegu.go.kr/open/data/dataView.do?dataSetId=15028200&dataSetDetailId=150282001e10a35c6e315&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 51 (100.0%) missing valuesMissing
소재지도로명주소 has 10 (19.6%) missing valuesMissing
소재지지번주소 has 1 (2.0%) missing valuesMissing
단속구간위치구분 has 51 (100.0%) missing valuesMissing
과속단속구간길이 has 51 (100.0%) missing valuesMissing
무인교통단속카메라관리번호 has unique valuesUnique
위도 has unique valuesUnique
경도 has unique valuesUnique
설치장소 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 started2023-12-10 20:47:55.581757
Analysis finished2023-12-10 20:47:56.209253
Duration0.63 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

무인교통단속카메라관리번호
Real number (ℝ)

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean26
Minimum1
Maximum51
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T05:47:56.373035image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3.5
Q113.5
median26
Q338.5
95-th percentile48.5
Maximum51
Range50
Interquartile range (IQR)25

Descriptive statistics

Standard deviation14.866069
Coefficient of variation (CV)0.57177187
Kurtosis-1.2
Mean26
Median Absolute Deviation (MAD)13
Skewness0
Sum1326
Variance221
MonotonicityStrictly increasing
2023-12-11T05:47:56.695149image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
2.0%
2 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%
36 1
 
2.0%
Other values (41) 41
80.4%
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 (%)
51 1
2.0%
50 1
2.0%
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%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
대구광역시
51 

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 51
100.0%

Length

2023-12-11T05:47:56.929180image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:57.089906image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 51
100.0%

시군구명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
중구
51 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
중구 51
100.0%

Length

2023-12-11T05:47:57.229195image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:57.368215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
중구 51
100.0%

도로종류
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
구도
51 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
구도 51
100.0%

Length

2023-12-11T05:47:57.502646image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:57.683658image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
구도 51
100.0%

도로노선번호
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

도로노선명
Text

Distinct28
Distinct (%)54.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-11T05:47:57.952479image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length4.1568627
Min length2

Characters and Unicode

Total characters212
Distinct characters43
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

Unique16 ?
Unique (%)31.4%

Sample

1st row달성로
2nd row동성로3가
3rd row태평로
4th row동성로1길
5th row큰장로
ValueCountFrequency (%)
달성로 5
 
9.8%
종로 5
 
9.8%
달구벌대로 4
 
7.8%
국채보상로 4
 
7.8%
동성로6길 3
 
5.9%
북성로1가 2
 
3.9%
태평로 2
 
3.9%
큰장로 2
 
3.9%
중앙대로 2
 
3.9%
북성로 2
 
3.9%
Other values (18) 20
39.2%
2023-12-11T05:47:58.521343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 48
22.6%
성 17
 
8.0%
길 14
 
6.6%
달 12
 
5.7%
대 11
 
5.2%
동 10
 
4.7%
구 6
 
2.8%
벌 6
 
2.8%
6 5
 
2.4%
종 5
 
2.4%
Other values (33) 78
36.8%

Most occurring categories

ValueCountFrequency (%)
Other Letter 189
89.2%
Decimal Number 23
 
10.8%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 48
25.4%
성 17
 
9.0%
길 14
 
7.4%
달 12
 
6.3%
대 11
 
5.8%
동 10
 
5.3%
구 6
 
3.2%
벌 6
 
3.2%
종 5
 
2.6%
국 4
 
2.1%
Other values (25) 56
29.6%
Decimal Number
ValueCountFrequency (%)
6 5
21.7%
2 5
21.7%
4 3
13.0%
1 3
13.0%
7 2
 
8.7%
3 2
 
8.7%
5 2
 
8.7%
0 1
 
4.3%

Most occurring scripts

ValueCountFrequency (%)
Hangul 189
89.2%
Common 23
 
10.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 48
25.4%
성 17
 
9.0%
길 14
 
7.4%
달 12
 
6.3%
대 11
 
5.8%
동 10
 
5.3%
구 6
 
3.2%
벌 6
 
3.2%
종 5
 
2.6%
국 4
 
2.1%
Other values (25) 56
29.6%
Common
ValueCountFrequency (%)
6 5
21.7%
2 5
21.7%
4 3
13.0%
1 3
13.0%
7 2
 
8.7%
3 2
 
8.7%
5 2
 
8.7%
0 1
 
4.3%

Most occurring blocks

ValueCountFrequency (%)
Hangul 189
89.2%
ASCII 23
 
10.8%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 48
25.4%
성 17
 
9.0%
길 14
 
7.4%
달 12
 
6.3%
대 11
 
5.8%
동 10
 
5.3%
구 6
 
3.2%
벌 6
 
3.2%
종 5
 
2.6%
국 4
 
2.1%
Other values (25) 56
29.6%
ASCII
ValueCountFrequency (%)
6 5
21.7%
2 5
21.7%
4 3
13.0%
1 3
13.0%
7 2
 
8.7%
3 2
 
8.7%
5 2
 
8.7%
0 1
 
4.3%

도로노선방향
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
3
51 

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 51
100.0%

Length

2023-12-11T05:47:58.767689image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:47:58.935770image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
3 51
100.0%

소재지도로명주소
Text

MISSING 

Distinct41
Distinct (%)100.0%
Missing10
Missing (%)19.6%
Memory size540.0 B
2023-12-11T05:47:59.248397image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length19
Mean length16.95122
Min length14

Characters and Unicode

Total characters695
Distinct characters45
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

Unique41 ?
Unique (%)100.0%

Sample

1st row대구광역시 중구 달성로 47
2nd row대구광역시 중구 태평로 196
3rd row대구광역시 중구 동성로1길 77
4th row대구광역시 중구 큰장로 134
5th row대구광역시 중구 동성로5길 33
ValueCountFrequency (%)
대구광역시 41
25.2%
중구 41
25.2%
달성로 4
 
2.5%
국채보상로 4
 
2.5%
달구벌대로 4
 
2.5%
종로 4
 
2.5%
동성로6길 3
 
1.8%
10 2
 
1.2%
중앙대로 2
 
1.2%
북성로 2
 
1.2%
Other values (53) 56
34.4%
2023-12-11T05:48:00.032318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
122
17.6%
구 87
12.5%
대 49
 
7.1%
중 43
 
6.2%
광 41
 
5.9%
역 41
 
5.9%
시 41
 
5.9%
로 40
 
5.8%
1 27
 
3.9%
2 21
 
3.0%
Other values (35) 183
26.3%

Most occurring categories

ValueCountFrequency (%)
Other Letter 438
63.0%
Decimal Number 128
 
18.4%
Space Separator 122
 
17.6%
Dash Punctuation 7
 
1.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 87
19.9%
대 49
11.2%
중 43
9.8%
광 41
9.4%
역 41
9.4%
시 41
9.4%
로 40
9.1%
성 13
 
3.0%
길 11
 
2.5%
달 10
 
2.3%
Other values (23) 62
14.2%
Decimal Number
ValueCountFrequency (%)
1 27
21.1%
2 21
16.4%
3 15
11.7%
7 14
10.9%
6 13
10.2%
4 10
 
7.8%
5 8
 
6.2%
0 8
 
6.2%
9 7
 
5.5%
8 5
 
3.9%
Space Separator
ValueCountFrequency (%)
122
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 7
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 438
63.0%
Common 257
37.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 87
19.9%
대 49
11.2%
중 43
9.8%
광 41
9.4%
역 41
9.4%
시 41
9.4%
로 40
9.1%
성 13
 
3.0%
길 11
 
2.5%
달 10
 
2.3%
Other values (23) 62
14.2%
Common
ValueCountFrequency (%)
122
47.5%
1 27
 
10.5%
2 21
 
8.2%
3 15
 
5.8%
7 14
 
5.4%
6 13
 
5.1%
4 10
 
3.9%
5 8
 
3.1%
0 8
 
3.1%
9 7
 
2.7%
Other values (2) 12
 
4.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 438
63.0%
ASCII 257
37.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
122
47.5%
1 27
 
10.5%
2 21
 
8.2%
3 15
 
5.8%
7 14
 
5.4%
6 13
 
5.1%
4 10
 
3.9%
5 8
 
3.1%
0 8
 
3.1%
9 7
 
2.7%
Other values (2) 12
 
4.7%
Hangul
ValueCountFrequency (%)
구 87
19.9%
대 49
11.2%
중 43
9.8%
광 41
9.4%
역 41
9.4%
시 41
9.4%
로 40
9.1%
성 13
 
3.0%
길 11
 
2.5%
달 10
 
2.3%
Other values (23) 62
14.2%

소재지지번주소
Text

MISSING 

Distinct50
Distinct (%)100.0%
Missing1
Missing (%)2.0%
Memory size540.0 B
2023-12-11T05:48:00.448230image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length21
Median length20
Mean length18.02
Min length15

Characters and Unicode

Total characters901
Distinct characters44
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

Unique50 ?
Unique (%)100.0%

Sample

1st row대구광역시 중구 대신동 115-306
2nd row대구광역시 중구 동성로3가 73-1
3rd row대구광역시 중구 태평로1가 18-2
4th row대구광역시 중구 삼덕동1가 35-11
5th row대구광역시 중구 대신동 115-9
ValueCountFrequency (%)
대구광역시 50
25.1%
중구 50
25.1%
남산동 6
 
3.0%
대신동 4
 
2.0%
봉산동 4
 
2.0%
삼덕동1가 4
 
2.0%
대봉동 3
 
1.5%
동산동 3
 
1.5%
공평동 2
 
1.0%
5-1 2
 
1.0%
Other values (67) 71
35.7%
2023-12-11T05:48:01.255700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
149
16.5%
구 100
11.1%
대 58
 
6.4%
1 57
 
6.3%
시 50
 
5.5%
역 50
 
5.5%
중 50
 
5.5%
광 50
 
5.5%
동 49
 
5.4%
- 39
 
4.3%
Other values (34) 249
27.6%

Most occurring categories

ValueCountFrequency (%)
Other Letter 516
57.3%
Decimal Number 197
 
21.9%
Space Separator 149
 
16.5%
Dash Punctuation 39
 
4.3%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 100
19.4%
대 58
11.2%
시 50
9.7%
역 50
9.7%
중 50
9.7%
광 50
9.7%
동 49
9.5%
가 19
 
3.7%
산 15
 
2.9%
로 9
 
1.7%
Other values (22) 66
12.8%
Decimal Number
ValueCountFrequency (%)
1 57
28.9%
2 30
15.2%
3 22
 
11.2%
5 19
 
9.6%
4 15
 
7.6%
6 14
 
7.1%
0 12
 
6.1%
8 11
 
5.6%
7 9
 
4.6%
9 8
 
4.1%
Space Separator
ValueCountFrequency (%)
149
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 39
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 516
57.3%
Common 385
42.7%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 100
19.4%
대 58
11.2%
시 50
9.7%
역 50
9.7%
중 50
9.7%
광 50
9.7%
동 49
9.5%
가 19
 
3.7%
산 15
 
2.9%
로 9
 
1.7%
Other values (22) 66
12.8%
Common
ValueCountFrequency (%)
149
38.7%
1 57
 
14.8%
- 39
 
10.1%
2 30
 
7.8%
3 22
 
5.7%
5 19
 
4.9%
4 15
 
3.9%
6 14
 
3.6%
0 12
 
3.1%
8 11
 
2.9%
Other values (2) 17
 
4.4%

Most occurring blocks

ValueCountFrequency (%)
Hangul 516
57.3%
ASCII 385
42.7%

Most frequent character per block

ASCII
ValueCountFrequency (%)
149
38.7%
1 57
 
14.8%
- 39
 
10.1%
2 30
 
7.8%
3 22
 
5.7%
5 19
 
4.9%
4 15
 
3.9%
6 14
 
3.6%
0 12
 
3.1%
8 11
 
2.9%
Other values (2) 17
 
4.4%
Hangul
ValueCountFrequency (%)
구 100
19.4%
대 58
11.2%
시 50
9.7%
역 50
9.7%
중 50
9.7%
광 50
9.7%
동 49
9.5%
가 19
 
3.7%
산 15
 
2.9%
로 9
 
1.7%
Other values (22) 66
12.8%

위도
Real number (ℝ)

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.867782
Minimum35.857452
Maximum35.875559
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T05:48:01.513214image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.857452
5-th percentile35.85923
Q135.864738
median35.868292
Q335.87045
95-th percentile35.874506
Maximum35.875559
Range0.018107
Interquartile range (IQR)0.0057125

Descriptive statistics

Standard deviation0.0045293569
Coefficient of variation (CV)0.00012627926
Kurtosis-0.25392756
Mean35.867782
Median Absolute Deviation (MAD)0.002739
Skewness-0.29228694
Sum1829.2569
Variance2.0515074 × 10-5
MonotonicityNot monotonic
2023-12-11T05:48:01.780828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.869557 1
 
2.0%
35.866914 1
 
2.0%
35.86834 1
 
2.0%
35.86976 1
 
2.0%
35.871189 1
 
2.0%
35.870842 1
 
2.0%
35.873567 1
 
2.0%
35.868476 1
 
2.0%
35.862338 1
 
2.0%
35.865695 1
 
2.0%
Other values (41) 41
80.4%
ValueCountFrequency (%)
35.857452 1
2.0%
35.857995 1
2.0%
35.858207 1
2.0%
35.860254 1
2.0%
35.862038 1
2.0%
35.862338 1
2.0%
35.8632 1
2.0%
35.863514 1
2.0%
35.863622 1
2.0%
35.863779 1
2.0%
ValueCountFrequency (%)
35.875559 1
2.0%
35.875136 1
2.0%
35.874523 1
2.0%
35.874489 1
2.0%
35.874264 1
2.0%
35.874213 1
2.0%
35.873808 1
2.0%
35.873773 1
2.0%
35.873567 1
2.0%
35.872392 1
2.0%

경도
Real number (ℝ)

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.59294
Minimum128.57451
Maximum128.61003
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T05:48:02.046700image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.57451
5-th percentile128.58099
Q1128.58767
median128.59322
Q3128.59774
95-th percentile128.60733
Maximum128.61003
Range0.035521
Interquartile range (IQR)0.0100685

Descriptive statistics

Standard deviation0.0081619596
Coefficient of variation (CV)6.3471287 × 10-5
Kurtosis-0.27285797
Mean128.59294
Median Absolute Deviation (MAD)0.004789
Skewness-0.0156294
Sum6558.2401
Variance6.6617585 × 10-5
MonotonicityNot monotonic
2023-12-11T05:48:02.288745image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.582139 1
 
2.0%
128.59482 1
 
2.0%
128.593216 1
 
2.0%
128.593627 1
 
2.0%
128.596322 1
 
2.0%
128.589497 1
 
2.0%
128.609465 1
 
2.0%
128.578042 1
 
2.0%
128.606524 1
 
2.0%
128.604061 1
 
2.0%
Other values (41) 41
80.4%
ValueCountFrequency (%)
128.574509 1
2.0%
128.578042 1
2.0%
128.579835 1
2.0%
128.582139 1
2.0%
128.582226 1
2.0%
128.582471 1
2.0%
128.582502 1
2.0%
128.58251 1
2.0%
128.583188 1
2.0%
128.584137 1
2.0%
ValueCountFrequency (%)
128.61003 1
2.0%
128.609465 1
2.0%
128.608142 1
2.0%
128.606524 1
2.0%
128.604061 1
2.0%
128.603171 1
2.0%
128.601962 1
2.0%
128.599708 1
2.0%
128.599463 1
2.0%
128.599249 1
2.0%

설치장소
Text

UNIQUE 

Distinct51
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-12-11T05:48:02.686881image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length20
Median length15
Mean length9.2745098
Min length5

Characters and Unicode

Total characters473
Distinct characters150
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

Unique51 ?
Unique (%)100.0%

Sample

1st row서문시장 동산육교
2nd row통신골목 시계탑
3rd row교동네거리(태평로)
4th row통신골목입구
5th row큰장네거리
ValueCountFrequency (%)
앞 8
 
8.9%
북성로 3
 
3.3%
맞은편 3
 
3.3%
인교동 2
 
2.2%
1 2
 
2.2%
2 2
 
2.2%
대구초등학교 2
 
2.2%
동도교회(제2신천교 1
 
1.1%
부근 1
 
1.1%
만경관극장 1
 
1.1%
Other values (65) 65
72.2%
2023-12-11T05:48:03.475914image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
39
 
8.2%
교 19
 
4.0%
앞 16
 
3.4%
) 14
 
3.0%
동 14
 
3.0%
( 14
 
3.0%
초 12
 
2.5%
학 11
 
2.3%
대 10
 
2.1%
장 10
 
2.1%
Other values (140) 314
66.4%

Most occurring categories

ValueCountFrequency (%)
Other Letter 389
82.2%
Space Separator 39
 
8.2%
Decimal Number 15
 
3.2%
Close Punctuation 14
 
3.0%
Open Punctuation 14
 
3.0%
Other Punctuation 2
 
0.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
교 19
 
4.9%
앞 16
 
4.1%
동 14
 
3.6%
초 12
 
3.1%
학 11
 
2.8%
대 10
 
2.6%
장 10
 
2.6%
등 10
 
2.6%
성 9
 
2.3%
산 9
 
2.3%
Other values (130) 269
69.2%
Decimal Number
ValueCountFrequency (%)
1 5
33.3%
2 5
33.3%
5 2
 
13.3%
6 1
 
6.7%
8 1
 
6.7%
3 1
 
6.7%
Space Separator
ValueCountFrequency (%)
39
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Other Punctuation
ValueCountFrequency (%)
. 2
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 389
82.2%
Common 84
 
17.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
교 19
 
4.9%
앞 16
 
4.1%
동 14
 
3.6%
초 12
 
3.1%
학 11
 
2.8%
대 10
 
2.6%
장 10
 
2.6%
등 10
 
2.6%
성 9
 
2.3%
산 9
 
2.3%
Other values (130) 269
69.2%
Common
ValueCountFrequency (%)
39
46.4%
) 14
 
16.7%
( 14
 
16.7%
1 5
 
6.0%
2 5
 
6.0%
5 2
 
2.4%
. 2
 
2.4%
6 1
 
1.2%
8 1
 
1.2%
3 1
 
1.2%

Most occurring blocks

ValueCountFrequency (%)
Hangul 389
82.2%
ASCII 84
 
17.8%

Most frequent character per block

ASCII
ValueCountFrequency (%)
39
46.4%
) 14
 
16.7%
( 14
 
16.7%
1 5
 
6.0%
2 5
 
6.0%
5 2
 
2.4%
. 2
 
2.4%
6 1
 
1.2%
8 1
 
1.2%
3 1
 
1.2%
Hangul
ValueCountFrequency (%)
교 19
 
4.9%
앞 16
 
4.1%
동 14
 
3.6%
초 12
 
3.1%
학 11
 
2.8%
대 10
 
2.6%
장 10
 
2.6%
등 10
 
2.6%
성 9
 
2.3%
산 9
 
2.3%
Other values (130) 269
69.2%

단속구분
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
4
51 

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 51
100.0%

Length

2023-12-11T05:48:03.737994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:48:03.892312image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
4 51
100.0%

제한속도
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
0
51 

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 51
100.0%

Length

2023-12-11T05:48:04.055213image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:48:04.202286image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
0 51
100.0%

단속구간위치구분
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

과속단속구간길이
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing51
Missing (%)100.0%
Memory size591.0 B

보호구역구분
Categorical

Distinct2
Distinct (%)3.9%
Missing0
Missing (%)0.0%
Memory size540.0 B
<NA>
40 
2
11 

Length

Max length4
Median length4
Mean length3.3529412
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row<NA>
4th row<NA>
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 40
78.4%
2 11
 
21.6%

Length

2023-12-11T05:48:04.362390image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:48:04.902869image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 40
78.4%
2 11
 
21.6%

설치연도
Real number (ℝ)

Distinct12
Distinct (%)23.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2014.8235
Minimum2006
Maximum2022
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size591.0 B
2023-12-11T05:48:05.038532image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2006
5-th percentile2006.5
Q12009
median2016
Q32021
95-th percentile2022
Maximum2022
Range16
Interquartile range (IQR)12

Descriptive statistics

Standard deviation5.7574504
Coefficient of variation (CV)0.0028575458
Kurtosis-1.6385506
Mean2014.8235
Median Absolute Deviation (MAD)5
Skewness-0.18141588
Sum102756
Variance33.148235
MonotonicityNot monotonic
2023-12-11T05:48:05.247208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2021 12
23.5%
2016 7
13.7%
2009 6
11.8%
2010 6
11.8%
2022 4
 
7.8%
2006 3
 
5.9%
2007 3
 
5.9%
2008 3
 
5.9%
2018 3
 
5.9%
2017 2
 
3.9%
Other values (2) 2
 
3.9%
ValueCountFrequency (%)
2006 3
5.9%
2007 3
5.9%
2008 3
5.9%
2009 6
11.8%
2010 6
11.8%
2016 7
13.7%
2017 2
 
3.9%
2018 3
5.9%
2019 1
 
2.0%
2020 1
 
2.0%
ValueCountFrequency (%)
2022 4
 
7.8%
2021 12
23.5%
2020 1
 
2.0%
2019 1
 
2.0%
2018 3
 
5.9%
2017 2
 
3.9%
2016 7
13.7%
2010 6
11.8%
2009 6
11.8%
2008 3
 
5.9%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
대구광역시 중구청
51 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
대구광역시 중구청 51
100.0%

Length

2023-12-11T05:48:05.475244image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:48:05.639704image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
대구광역시 51
50.0%
중구청 51
50.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
053-661-3024
51 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row053-661-3024
2nd row053-661-3024
3rd row053-661-3024
4th row053-661-3024
5th row053-661-3024

Common Values

ValueCountFrequency (%)
053-661-3024 51
100.0%

Length

2023-12-11T05:48:05.782960image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:48:05.912018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
053-661-3024 51
100.0%

데이터기준일자
Categorical

CONSTANT 

Distinct1
Distinct (%)2.0%
Missing0
Missing (%)0.0%
Memory size540.0 B
2023-07-10
51 

Length

Max length10
Median length10
Mean length10
Min length10

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row2023-07-10
2nd row2023-07-10
3rd row2023-07-10
4th row2023-07-10
5th row2023-07-10

Common Values

ValueCountFrequency (%)
2023-07-10 51
100.0%

Length

2023-12-11T05:48:06.058343image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-11T05:48:06.193853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2023-07-10 51
100.0%

Sample

무인교통단속카메라관리번호시도명시군구명도로종류도로노선번호도로노선명도로노선방향소재지도로명주소소재지지번주소위도경도설치장소단속구분제한속도단속구간위치구분과속단속구간길이보호구역구분설치연도관리기관명관리기관전화번호데이터기준일자
01대구광역시중구구도<NA>달성로3대구광역시 중구 달성로 47대구광역시 중구 대신동 115-30635.869557128.582139서문시장 동산육교40<NA><NA><NA>2006대구광역시 중구청053-661-30242023-07-10
12대구광역시중구구도<NA>동성로3가3<NA>대구광역시 중구 동성로3가 73-135.866914128.59482통신골목 시계탑40<NA><NA><NA>2006대구광역시 중구청053-661-30242023-07-10
23대구광역시중구구도<NA>태평로3대구광역시 중구 태평로 196대구광역시 중구 태평로1가 18-235.874213128.599164교동네거리(태평로)40<NA><NA><NA>2006대구광역시 중구청053-661-30242023-07-10
34대구광역시중구구도<NA>동성로1길3대구광역시 중구 동성로1길 77대구광역시 중구 삼덕동1가 35-1135.865553128.597474통신골목입구40<NA><NA><NA>2007대구광역시 중구청053-661-30242023-07-10
45대구광역시중구구도<NA>큰장로3대구광역시 중구 큰장로 134대구광역시 중구 대신동 115-935.870355128.579835큰장네거리40<NA><NA><NA>2007대구광역시 중구청053-661-30242023-07-10
56대구광역시중구구도<NA>동성로5길3대구광역시 중구 동성로5길 33대구광역시 중구 삼덕동1가 5-135.868292128.59648동성5길 (구.금융결제원)40<NA><NA><NA>2007대구광역시 중구청053-661-30242023-07-10
67대구광역시중구구도<NA>동성로2길3대구광역시 중구 동성로2길 83대구광역시 중구 동성로2가 68-2535.869889128.5970522.28공원주변40<NA><NA><NA>2008대구광역시 중구청053-661-30242023-07-10
78대구광역시중구구도<NA>동성로6길3대구광역시 중구 동성로6길 2-23대구광역시 중구 삼덕동1가 4-1135.868284128.595622동성1길 (신헤어라인)40<NA><NA><NA>2008대구광역시 중구청053-661-30242023-07-10
89대구광역시중구구도<NA>공평로3대구광역시 중구 공평로 35대구광역시 중구 삼덕동1가 63-11435.867404128.599708삼덕소방서40<NA><NA><NA>2008대구광역시 중구청053-661-30242023-07-10
910대구광역시중구구도<NA>종로3대구광역시 중구 종로 17<NA>35.867602128.592078남성로 정관장앞40<NA><NA><NA>2009대구광역시 중구청053-661-30242023-07-10
무인교통단속카메라관리번호시도명시군구명도로종류도로노선번호도로노선명도로노선방향소재지도로명주소소재지지번주소위도경도설치장소단속구분제한속도단속구간위치구분과속단속구간길이보호구역구분설치연도관리기관명관리기관전화번호데이터기준일자
4142대구광역시중구구도<NA>이천로3대구광역시 중구 이천로 251대구광역시 중구 봉산동 172-1435.863622128.599249경대사대부초40<NA><NA>22021대구광역시 중구청053-661-30242023-07-10
4243대구광역시중구구도<NA>종로3대구광역시 중구 종로 71대구광역시 중구 대안동 7335.872392128.590784종로초등학교40<NA><NA>22021대구광역시 중구청053-661-30242023-07-10
4344대구광역시중구구도<NA>달구벌대로447길3대구광역시 중구 달구벌대로447길 10대구광역시 중구 삼덕동3가 31635.863779128.608142삼덕초등학교40<NA><NA>22021대구광역시 중구청053-661-30242023-07-10
4445대구광역시중구구도<NA>국채보상로3대구광역시 중구 국채보상로 726-1대구광역시 중구 동인동4가 386-235.86862128.61003동인초등학교40<NA><NA>22021대구광역시 중구청053-661-30242023-07-10
4546대구광역시중구구도<NA>종로3대구광역시 중구 종로 36대구광역시 중구 종로2가 1635.869374128.591821화교소학교40<NA><NA>22021대구광역시 중구청053-661-30242023-07-10
4647대구광역시중구구도<NA>종로3대구광역시 중구 명륜로 111대구광역시 중구 봉산동 234-1435.860254128.596575향교네거리40<NA><NA><NA>2021대구광역시 중구청053-661-30242023-07-10
4748대구광역시중구구도<NA>대봉로3<NA>대구광역시 중구 대봉동 150-235.857995128.599463대봉더샵리비테르40<NA><NA><NA>2022대구광역시 중구청053-661-30242023-07-10
4849대구광역시중구구도<NA>명덕로3<NA>대구광역시 중구 남산동 2957-735.862038128.574509남산자이하늘채40<NA><NA><NA>2022대구광역시 중구청053-661-30242023-07-10
4950대구광역시중구구도<NA>중앙대로67길3<NA>대구광역시 중구 남산동 64535.8632128.5918반월당역서한포레스트40<NA><NA><NA>2022대구광역시 중구청053-661-30242023-07-10
5051대구광역시중구구도<NA>달구벌대로405길3<NA>대구광역시 중구 동산동 194-235.8667128.5844청라언덕역서한포레스트40<NA><NA><NA>2022대구광역시 중구청053-661-30242023-07-10