Overview

Dataset statistics

Number of variables15
Number of observations543
Missing cells46
Missing cells (%)0.6%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory65.9 KiB
Average record size in memory124.2 B

Variable types

Numeric4
Text3
Categorical7
Boolean1

Dataset

Description2021년 기업매칭 지원사업(가로망주정차현황정보) 수행에 따른 결과물로, 주차단속카메라 정보에 대한 데이터입니다. 설치위치, 도로명, 위경도, 구군명, 단속여부, 단속시간 등의 항목을 포함합니다.
Author대구광역시
URLhttps://www.data.go.kr/data/15095880/fileData.do

Alerts

단속카메라단속여부 has constant value ""Constant
공휴일단속시작시간 is highly overall correlated with 구군코드 and 6 other fieldsHigh correlation
토요일단속종료시간 is highly overall correlated with 공간정보아이디 and 7 other fieldsHigh correlation
토요일단속시작시간 is highly overall correlated with 구군코드 and 6 other fieldsHigh correlation
공휴일단속종료시간 is highly overall correlated with 공간정보아이디 and 7 other fieldsHigh correlation
공간정보아이디 is highly overall correlated with 구군코드 and 3 other fieldsHigh correlation
경도 is highly overall correlated with 구군코드 and 1 other fieldsHigh correlation
위도 is highly overall correlated with 구군코드High correlation
구군코드 is highly overall correlated with 공간정보아이디 and 9 other fieldsHigh correlation
구군명 is highly overall correlated with 공간정보아이디 and 8 other fieldsHigh correlation
평일단속시작시간 is highly overall correlated with 구군코드 and 6 other fieldsHigh correlation
평일단속종료시간 is highly overall correlated with 구군코드 and 6 other fieldsHigh correlation
주정차단속비고 has 46 (8.5%) missing valuesMissing
공간정보아이디 has unique valuesUnique
설치위치 has unique valuesUnique
경도 has unique valuesUnique
위도 has unique valuesUnique

Reproduction

Analysis started2023-12-12 18:29:07.668298
Analysis finished2023-12-12 18:29:12.083736
Duration4.42 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

공간정보아이디
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct543
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean710.43278
Minimum11
Maximum7109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2023-12-13T03:29:12.173131image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum11
5-th percentile41.1
Q1247.5
median556
Q3722.5
95-th percentile840.9
Maximum7109
Range7098
Interquartile range (IQR)475

Descriptive statistics

Standard deviation1210.3643
Coefficient of variation (CV)1.7036999
Kurtosis19.628981
Mean710.43278
Median Absolute Deviation (MAD)219
Skewness4.4964113
Sum385765
Variance1464981.7
MonotonicityNot monotonic
2023-12-13T03:29:12.358949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
31 1
 
0.2%
439 1
 
0.2%
433 1
 
0.2%
434 1
 
0.2%
435 1
 
0.2%
436 1
 
0.2%
437 1
 
0.2%
438 1
 
0.2%
440 1
 
0.2%
32 1
 
0.2%
Other values (533) 533
98.2%
ValueCountFrequency (%)
11 1
0.2%
12 1
0.2%
13 1
0.2%
14 1
0.2%
15 1
0.2%
16 1
0.2%
17 1
0.2%
18 1
0.2%
19 1
0.2%
21 1
0.2%
ValueCountFrequency (%)
7109 1
0.2%
7108 1
0.2%
7107 1
0.2%
7106 1
0.2%
7105 1
0.2%
7104 1
0.2%
7103 1
0.2%
7102 1
0.2%
7101 1
0.2%
7100 1
0.2%

설치위치
Text

UNIQUE 

Distinct543
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2023-12-13T03:29:12.728156image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length48
Median length35
Mean length10.287293
Min length3

Characters and Unicode

Total characters5586
Distinct characters405
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique543 ?
Unique (%)100.0%

Sample

1st row서구청건너
2nd row이현공단주유소 옆
3rd row대성초등학교
4th row북부정류장 내
5th row은하수노래방
ValueCountFrequency (%)
앞 103
 
9.4%
부근 39
 
3.6%
정문 15
 
1.4%
삼거리 14
 
1.3%
입구 12
 
1.1%
사거리 10
 
0.9%
북편 10
 
0.9%
건너 8
 
0.7%
태전동 8
 
0.7%
남편 8
 
0.7%
Other values (724) 871
79.3%
2023-12-13T03:29:13.285535image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
571
 
10.2%
동 150
 
2.7%
앞 145
 
2.6%
성 117
 
2.1%
리 105
 
1.9%
) 101
 
1.8%
( 101
 
1.8%
대 98
 
1.8%
부 95
 
1.7%
구 88
 
1.6%
Other values (395) 4015
71.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4640
83.1%
Space Separator 571
 
10.2%
Close Punctuation 101
 
1.8%
Open Punctuation 101
 
1.8%
Decimal Number 91
 
1.6%
Uppercase Letter 55
 
1.0%
Dash Punctuation 14
 
0.3%
Other Punctuation 9
 
0.2%
Lowercase Letter 4
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 150
 
3.2%
앞 145
 
3.1%
성 117
 
2.5%
리 105
 
2.3%
대 98
 
2.1%
부 95
 
2.0%
구 88
 
1.9%
거 79
 
1.7%
교 79
 
1.7%
장 78
 
1.7%
Other values (360) 3606
77.7%
Uppercase Letter
ValueCountFrequency (%)
K 9
16.4%
G 6
10.9%
L 6
10.9%
S 6
10.9%
C 4
7.3%
B 4
7.3%
M 4
7.3%
H 3
 
5.5%
N 2
 
3.6%
V 2
 
3.6%
Other values (7) 9
16.4%
Decimal Number
ValueCountFrequency (%)
1 28
30.8%
2 25
27.5%
3 13
14.3%
5 8
 
8.8%
4 6
 
6.6%
0 4
 
4.4%
6 3
 
3.3%
8 2
 
2.2%
9 1
 
1.1%
7 1
 
1.1%
Other Punctuation
ValueCountFrequency (%)
# 5
55.6%
. 3
33.3%
& 1
 
11.1%
Space Separator
ValueCountFrequency (%)
571
100.0%
Close Punctuation
ValueCountFrequency (%)
) 101
100.0%
Open Punctuation
ValueCountFrequency (%)
( 101
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 14
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 4
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 4640
83.1%
Common 887
 
15.9%
Latin 59
 
1.1%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 150
 
3.2%
앞 145
 
3.1%
성 117
 
2.5%
리 105
 
2.3%
대 98
 
2.1%
부 95
 
2.0%
구 88
 
1.9%
거 79
 
1.7%
교 79
 
1.7%
장 78
 
1.7%
Other values (360) 3606
77.7%
Latin
ValueCountFrequency (%)
K 9
15.3%
G 6
10.2%
L 6
10.2%
S 6
10.2%
e 4
 
6.8%
C 4
 
6.8%
B 4
 
6.8%
M 4
 
6.8%
H 3
 
5.1%
N 2
 
3.4%
Other values (8) 11
18.6%
Common
ValueCountFrequency (%)
571
64.4%
) 101
 
11.4%
( 101
 
11.4%
1 28
 
3.2%
2 25
 
2.8%
- 14
 
1.6%
3 13
 
1.5%
5 8
 
0.9%
4 6
 
0.7%
# 5
 
0.6%
Other values (7) 15
 
1.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 4640
83.1%
ASCII 946
 
16.9%

Most frequent character per block

ASCII
ValueCountFrequency (%)
571
60.4%
) 101
 
10.7%
( 101
 
10.7%
1 28
 
3.0%
2 25
 
2.6%
- 14
 
1.5%
3 13
 
1.4%
K 9
 
1.0%
5 8
 
0.8%
4 6
 
0.6%
Other values (25) 70
 
7.4%
Hangul
ValueCountFrequency (%)
동 150
 
3.2%
앞 145
 
3.1%
성 117
 
2.5%
리 105
 
2.3%
대 98
 
2.1%
부 95
 
2.0%
구 88
 
1.9%
거 79
 
1.7%
교 79
 
1.7%
장 78
 
1.7%
Other values (360) 3606
77.7%

도로명
Text

Distinct282
Distinct (%)51.9%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
2023-12-13T03:29:13.600321image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length10
Median length9
Mean length4.3535912
Min length2

Characters and Unicode

Total characters2364
Distinct characters155
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

Unique179 ?
Unique (%)33.0%

Sample

1st row국채보상로
2nd row국채보상로
3rd row국채보상로
4th row서대구로
5th row당산로
ValueCountFrequency (%)
달구벌대로 39
 
7.2%
동대구로 13
 
2.4%
월배로 11
 
2.0%
들안로 10
 
1.8%
국채보상로 9
 
1.7%
대명로 8
 
1.5%
대학로 7
 
1.3%
동북로 7
 
1.3%
칠곡로 6
 
1.1%
중앙대로 5
 
0.9%
Other values (272) 428
78.8%
2023-12-13T03:29:14.131032image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 529
22.4%
길 153
 
6.5%
대 133
 
5.6%
구 82
 
3.5%
달 71
 
3.0%
동 67
 
2.8%
벌 53
 
2.2%
1 51
 
2.2%
성 49
 
2.1%
2 44
 
1.9%
Other values (145) 1132
47.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 2094
88.6%
Decimal Number 270
 
11.4%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 529
25.3%
길 153
 
7.3%
대 133
 
6.4%
구 82
 
3.9%
달 71
 
3.4%
동 67
 
3.2%
벌 53
 
2.5%
성 49
 
2.3%
암 32
 
1.5%
산 32
 
1.5%
Other values (135) 893
42.6%
Decimal Number
ValueCountFrequency (%)
1 51
18.9%
2 44
16.3%
5 35
13.0%
4 31
11.5%
6 26
9.6%
9 22
8.1%
3 19
 
7.0%
0 16
 
5.9%
8 15
 
5.6%
7 11
 
4.1%

Most occurring scripts

ValueCountFrequency (%)
Hangul 2094
88.6%
Common 270
 
11.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 529
25.3%
길 153
 
7.3%
대 133
 
6.4%
구 82
 
3.9%
달 71
 
3.4%
동 67
 
3.2%
벌 53
 
2.5%
성 49
 
2.3%
암 32
 
1.5%
산 32
 
1.5%
Other values (135) 893
42.6%
Common
ValueCountFrequency (%)
1 51
18.9%
2 44
16.3%
5 35
13.0%
4 31
11.5%
6 26
9.6%
9 22
8.1%
3 19
 
7.0%
0 16
 
5.9%
8 15
 
5.6%
7 11
 
4.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 2094
88.6%
ASCII 270
 
11.4%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 529
25.3%
길 153
 
7.3%
대 133
 
6.4%
구 82
 
3.9%
달 71
 
3.4%
동 67
 
3.2%
벌 53
 
2.5%
성 49
 
2.3%
암 32
 
1.5%
산 32
 
1.5%
Other values (135) 893
42.6%
ASCII
ValueCountFrequency (%)
1 51
18.9%
2 44
16.3%
5 35
13.0%
4 31
11.5%
6 26
9.6%
9 22
8.1%
3 19
 
7.0%
0 16
 
5.9%
8 15
 
5.6%
7 11
 
4.1%

경도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct543
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.58374
Minimum128.41902
Maximum128.73354
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2023-12-13T03:29:14.334037image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum128.41902
5-th percentile128.46439
Q1128.53859
median128.59217
Q3128.62427
95-th percentile128.69826
Maximum128.73354
Range0.3145229
Interquartile range (IQR)0.0856789

Descriptive statistics

Standard deviation0.063888276
Coefficient of variation (CV)0.00049686126
Kurtosis-0.1179851
Mean128.58374
Median Absolute Deviation (MAD)0.0410555
Skewness-0.068458633
Sum69820.968
Variance0.0040817118
MonotonicityNot monotonic
2023-12-13T03:29:14.532717image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.558414 1
 
0.2%
128.5695972 1
 
0.2%
128.5831771 1
 
0.2%
128.5586629 1
 
0.2%
128.579945 1
 
0.2%
128.5830189 1
 
0.2%
128.5741022 1
 
0.2%
128.6080725 1
 
0.2%
128.6049537 1
 
0.2%
128.5513019 1
 
0.2%
Other values (533) 533
98.2%
ValueCountFrequency (%)
128.419018 1
0.2%
128.4191072 1
0.2%
128.4380248 1
0.2%
128.4382923 1
0.2%
128.4415065 1
0.2%
128.4425418 1
0.2%
128.443434 1
0.2%
128.4435808 1
0.2%
128.444689 1
0.2%
128.4453204 1
0.2%
ValueCountFrequency (%)
128.7335409 1
0.2%
128.7330884 1
0.2%
128.7330352 1
0.2%
128.7327508 1
0.2%
128.7313896 1
0.2%
128.7309732 1
0.2%
128.7308623 1
0.2%
128.7301047 1
0.2%
128.7298456 1
0.2%
128.7268008 1
0.2%

위도
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct543
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean35.856727
Minimum35.6557
Maximum35.954802
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2023-12-13T03:29:14.738455image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum35.6557
5-th percentile35.800422
Q135.8394
median35.858892
Q335.87619
95-th percentile35.922994
Maximum35.954802
Range0.29910235
Interquartile range (IQR)0.03679032

Descriptive statistics

Standard deviation0.043289183
Coefficient of variation (CV)0.0012072821
Kurtosis5.6531148
Mean35.856727
Median Absolute Deviation (MAD)0.01870447
Skewness-1.5980533
Sum19470.203
Variance0.0018739534
MonotonicityNot monotonic
2023-12-13T03:29:14.940949image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
35.87104331 1
 
0.2%
35.83939317 1
 
0.2%
35.85418532 1
 
0.2%
35.83773581 1
 
0.2%
35.83691325 1
 
0.2%
35.84142236 1
 
0.2%
35.85513183 1
 
0.2%
35.84922477 1
 
0.2%
35.84257523 1
 
0.2%
35.86985021 1
 
0.2%
Other values (533) 533
98.2%
ValueCountFrequency (%)
35.65570013 1
0.2%
35.66119758 1
0.2%
35.67490761 1
0.2%
35.68902777 1
0.2%
35.69173455 1
0.2%
35.69201949 1
0.2%
35.69349797 1
0.2%
35.69356026 1
0.2%
35.69359839 1
0.2%
35.69362932 1
0.2%
ValueCountFrequency (%)
35.95480248 1
0.2%
35.95356523 1
0.2%
35.94652727 1
0.2%
35.94455502 1
0.2%
35.94421474 1
0.2%
35.94388525 1
0.2%
35.94319741 1
0.2%
35.94308443 1
0.2%
35.94288279 1
0.2%
35.9426757 1
0.2%

구군코드
Real number (ℝ)

HIGH CORRELATION 

Distinct8
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean4.9686924
Minimum1
Maximum8
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size4.9 KiB
2023-12-13T03:29:15.114543image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile1
Q13
median5
Q37
95-th percentile8
Maximum8
Range7
Interquartile range (IQR)4

Descriptive statistics

Standard deviation2.1158634
Coefficient of variation (CV)0.42583907
Kurtosis-1.0101607
Mean4.9686924
Median Absolute Deviation (MAD)2
Skewness-0.44320826
Sum2698
Variance4.4768778
MonotonicityNot monotonic
2023-12-13T03:29:15.263232image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=8)
ValueCountFrequency (%)
6 110
20.3%
7 109
20.1%
5 88
16.2%
2 84
15.5%
8 47
8.7%
4 46
8.5%
1 35
 
6.4%
3 24
 
4.4%
ValueCountFrequency (%)
1 35
 
6.4%
2 84
15.5%
3 24
 
4.4%
4 46
8.5%
5 88
16.2%
6 110
20.3%
7 109
20.1%
8 47
8.7%
ValueCountFrequency (%)
8 47
8.7%
7 109
20.1%
6 110
20.3%
5 88
16.2%
4 46
8.5%
3 24
 
4.4%
2 84
15.5%
1 35
 
6.4%

구군명
Categorical

HIGH CORRELATION 

Distinct8
Distinct (%)1.5%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
수성구
110 
달서구
109 
북구
88 
동구
84 
달성군
47 
Other values (3)
105 

Length

Max length3
Median length2
Mean length2.4898711
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
수성구 110
20.3%
달서구 109
20.1%
북구 88
16.2%
동구 84
15.5%
달성군 47
8.7%
남구 46
8.5%
중구 35
 
6.4%
서구 24
 
4.4%

Length

2023-12-13T03:29:15.473853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T03:29:15.639059image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
수성구 110
20.3%
달서구 109
20.1%
북구 88
16.2%
동구 84
15.5%
달성군 47
8.7%
남구 46
8.5%
중구 35
 
6.4%
서구 24
 
4.4%

단속카메라단속여부
Boolean

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size675.0 B
True
543 
ValueCountFrequency (%)
True 543
100.0%
2023-12-13T03:29:15.799734image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

평일단속시작시간
Categorical

HIGH CORRELATION 

Distinct23
Distinct (%)4.2%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
07:00+14:00
101 
09:00+14:00
96 
07:00
87 
7:00
78 
7:30
47 
Other values (18)
134 

Length

Max length11
Median length11
Mean length7.7900552
Min length4

Unique

Unique6 ?
Unique (%)1.1%

Sample

1st row07:00+14:00
2nd row07:00+17:00
3rd row07:00+14:00
4th row07:00+14:00
5th row07:00+14:00

Common Values

ValueCountFrequency (%)
07:00+14:00 101
18.6%
09:00+14:00 96
17.7%
07:00 87
16.0%
7:00 78
14.4%
7:30 47
8.7%
07:00+13:00 36
 
6.6%
9:00 35
 
6.4%
08:00+14:00 17
 
3.1%
08:00+13:00 9
 
1.7%
07:30+14:00 6
 
1.1%
Other values (13) 31
 
5.7%

Length

2023-12-13T03:29:15.955194image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
07:00+14:00 101
18.6%
09:00+14:00 96
17.7%
07:00 87
16.0%
7:00 78
14.4%
7:30 47
8.7%
07:00+13:00 36
 
6.6%
9:00 35
 
6.4%
08:00+14:00 17
 
3.1%
08:00+13:00 9
 
1.7%
07:30+14:00 6
 
1.1%
Other values (13) 31
 
5.7%

평일단속종료시간
Categorical

HIGH CORRELATION 

Distinct25
Distinct (%)4.6%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
20:00
203 
12:00+18:00
99 
12:00+21:00
71 
22:00
37 
12:00+20:00
30 
Other values (20)
103 

Length

Max length11
Median length11
Mean length8.092081
Min length4

Unique

Unique8 ?
Unique (%)1.5%

Sample

1st row12:00+19:00
2nd row10:00+19:00
3rd row12:00+19:00
4th row12:00+19:00
5th row12:00+19:00

Common Values

ValueCountFrequency (%)
20:00 203
37.4%
12:00+18:00 99
18.2%
12:00+21:00 71
 
13.1%
22:00 37
 
6.8%
12:00+20:00 30
 
5.5%
12:00+19:00 24
 
4.4%
12:00+22:00 19
 
3.5%
12:00+23:00 11
 
2.0%
19:00 9
 
1.7%
21:00 8
 
1.5%
Other values (15) 32
 
5.9%

Length

2023-12-13T03:29:16.141921image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
20:00 203
37.4%
12:00+18:00 99
18.2%
12:00+21:00 71
 
13.1%
22:00 37
 
6.8%
12:00+20:00 30
 
5.5%
12:00+19:00 24
 
4.4%
12:00+22:00 19
 
3.5%
12:00+23:00 11
 
2.0%
19:00 9
 
1.7%
21:00 8
 
1.5%
Other values (15) 32
 
5.9%

토요일단속시작시간
Categorical

HIGH CORRELATION 

Distinct13
Distinct (%)2.4%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
332 
10:00
76 
07:00
54 
09:00
52 
07:00+14:00
 
8
Other values (8)
 
21

Length

Max length11
Median length4
Mean length4.5543278
Min length4

Unique

Unique3 ?
Unique (%)0.6%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 332
61.1%
10:00 76
 
14.0%
07:00 54
 
9.9%
09:00 52
 
9.6%
07:00+14:00 8
 
1.5%
07:30 5
 
0.9%
11:00 5
 
0.9%
09:00+14:00 3
 
0.6%
08:00+14:00 3
 
0.6%
08:00 2
 
0.4%
Other values (3) 3
 
0.6%

Length

2023-12-13T03:29:16.321444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 332
61.1%
10:00 76
 
14.0%
07:00 54
 
9.9%
09:00 52
 
9.6%
07:00+14:00 8
 
1.5%
07:30 5
 
0.9%
11:00 5
 
0.9%
09:00+14:00 3
 
0.6%
08:00+14:00 3
 
0.6%
08:00 2
 
0.4%
Other values (3) 3
 
0.6%

토요일단속종료시간
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
332 
17:00
80 
20:00
45 
22:00
42 
21:00
 
22
Other values (7)
 
22

Length

Max length11
Median length4
Mean length4.5543278
Min length4

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 332
61.1%
17:00 80
 
14.7%
20:00 45
 
8.3%
22:00 42
 
7.7%
21:00 22
 
4.1%
12:00+21:00 6
 
1.1%
18:00 6
 
1.1%
12:00+18:00 3
 
0.6%
12:00+17:00 3
 
0.6%
12:00+20:30 2
 
0.4%
Other values (2) 2
 
0.4%

Length

2023-12-13T03:29:16.534694image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 332
61.1%
17:00 80
 
14.7%
20:00 45
 
8.3%
22:00 42
 
7.7%
21:00 22
 
4.1%
12:00+21:00 6
 
1.1%
18:00 6
 
1.1%
12:00+18:00 3
 
0.6%
12:00+17:00 3
 
0.6%
12:00+20:30 2
 
0.4%
Other values (2) 2
 
0.4%

공휴일단속시작시간
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
334 
10:00
74 
07:00
54 
09:00
54 
07:00+14:00
 
8
Other values (7)
 
19

Length

Max length11
Median length4
Mean length4.5506446
Min length4

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 334
61.5%
10:00 74
 
13.6%
07:00 54
 
9.9%
09:00 54
 
9.9%
07:00+14:00 8
 
1.5%
11:00 5
 
0.9%
07:30 4
 
0.7%
09:00+14:00 3
 
0.6%
08:00+14:00 3
 
0.6%
08:00 2
 
0.4%
Other values (2) 2
 
0.4%

Length

2023-12-13T03:29:16.729008image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 334
61.5%
10:00 74
 
13.6%
07:00 54
 
9.9%
09:00 54
 
9.9%
07:00+14:00 8
 
1.5%
11:00 5
 
0.9%
07:30 4
 
0.7%
09:00+14:00 3
 
0.6%
08:00+14:00 3
 
0.6%
08:00 2
 
0.4%
Other values (2) 2
 
0.4%

공휴일단속종료시간
Categorical

HIGH CORRELATION 

Distinct12
Distinct (%)2.2%
Missing0
Missing (%)0.0%
Memory size4.4 KiB
<NA>
334 
17:00
76 
20:00
45 
22:00
42 
21:00
 
22
Other values (7)
 
24

Length

Max length11
Median length4
Mean length4.5506446
Min length4

Unique

Unique2 ?
Unique (%)0.4%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 334
61.5%
17:00 76
 
14.0%
20:00 45
 
8.3%
22:00 42
 
7.7%
21:00 22
 
4.1%
18:00 8
 
1.5%
12:00+21:00 6
 
1.1%
12:00+18:00 3
 
0.6%
12:00+17:00 3
 
0.6%
12:00+20:30 2
 
0.4%
Other values (2) 2
 
0.4%

Length

2023-12-13T03:29:16.922146image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 334
61.5%
17:00 76
 
14.0%
20:00 45
 
8.3%
22:00 42
 
7.7%
21:00 22
 
4.1%
18:00 8
 
1.5%
12:00+21:00 6
 
1.1%
12:00+18:00 3
 
0.6%
12:00+17:00 3
 
0.6%
12:00+20:30 2
 
0.4%
Other values (2) 2
 
0.4%

주정차단속비고
Text

MISSING 

Distinct198
Distinct (%)39.8%
Missing46
Missing (%)8.5%
Memory size4.4 KiB
2023-12-13T03:29:17.208878image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length68
Median length58
Mean length19.535211
Min length4

Characters and Unicode

Total characters9709
Distinct characters337
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks4 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique173 ?
Unique (%)34.8%

Sample

1st row촬영시간간격(일반-10분 화물-15분) 토 일 공휴일 제외
2nd row촬영시간간격(일반-10분 화물-15분) 토 일 공휴일 제외
3rd row촬영시간간격(일반-10분 화물-15분) 토 일 공휴일 제외
4th row촬영시간간격(일반-10분[토 일 제외] 택시-5분[토 일 포함]) 토 일 공휴일 제외
5th row촬영시간간격(일반-10분 화물-15분) 토 일 공휴일 제외
ValueCountFrequency (%)
389
17.9%
10분 233
 
10.7%
촬영간격 155
 
7.1%
허용시간 111
 
5.1%
구간 88
 
4.0%
설치일자 88
 
4.0%
공휴일 82
 
3.8%
토 76
 
3.5%
↔ 66
 
3.0%
포함 42
 
1.9%
Other values (380) 847
38.9%
2023-12-13T03:29:17.771314image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1944
20.0%
0 722
 
7.4%
- 579
 
6.0%
1 533
 
5.5%
간 421
 
4.3%
분 335
 
3.5%
일 237
 
2.4%
2 207
 
2.1%
영 184
 
1.9%
격 181
 
1.9%
Other values (327) 4366
45.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 4722
48.6%
Space Separator 1944
20.0%
Decimal Number 1855
 
19.1%
Dash Punctuation 579
 
6.0%
Open Punctuation 153
 
1.6%
Close Punctuation 153
 
1.6%
Math Symbol 131
 
1.3%
Other Punctuation 124
 
1.3%
Uppercase Letter 31
 
0.3%
Lowercase Letter 17
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
간 421
 
8.9%
분 335
 
7.1%
일 237
 
5.0%
영 184
 
3.9%
격 181
 
3.8%
촬 179
 
3.8%
시 177
 
3.7%
용 133
 
2.8%
허 129
 
2.7%
구 120
 
2.5%
Other values (284) 2626
55.6%
Uppercase Letter
ValueCountFrequency (%)
O 12
38.7%
C 4
 
12.9%
U 3
 
9.7%
N 2
 
6.5%
K 2
 
6.5%
B 1
 
3.2%
H 1
 
3.2%
S 1
 
3.2%
P 1
 
3.2%
A 1
 
3.2%
Other values (3) 3
 
9.7%
Decimal Number
ValueCountFrequency (%)
0 722
38.9%
1 533
28.7%
2 207
 
11.2%
5 105
 
5.7%
6 86
 
4.6%
8 52
 
2.8%
3 50
 
2.7%
7 36
 
1.9%
4 34
 
1.8%
9 30
 
1.6%
Lowercase Letter
ValueCountFrequency (%)
a 4
23.5%
s 3
17.6%
r 3
17.6%
t 2
11.8%
o 1
 
5.9%
c 1
 
5.9%
i 1
 
5.9%
b 1
 
5.9%
k 1
 
5.9%
Other Punctuation
ValueCountFrequency (%)
: 100
80.6%
. 19
 
15.3%
/ 5
 
4.0%
Open Punctuation
ValueCountFrequency (%)
( 151
98.7%
[ 2
 
1.3%
Close Punctuation
ValueCountFrequency (%)
) 151
98.7%
] 2
 
1.3%
Math Symbol
ValueCountFrequency (%)
↔ 85
64.9%
~ 46
35.1%
Space Separator
ValueCountFrequency (%)
1944
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 579
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 4939
50.9%
Hangul 4722
48.6%
Latin 48
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
간 421
 
8.9%
분 335
 
7.1%
일 237
 
5.0%
영 184
 
3.9%
격 181
 
3.8%
촬 179
 
3.8%
시 177
 
3.7%
용 133
 
2.8%
허 129
 
2.7%
구 120
 
2.5%
Other values (284) 2626
55.6%
Latin
ValueCountFrequency (%)
O 12
25.0%
a 4
 
8.3%
C 4
 
8.3%
s 3
 
6.2%
U 3
 
6.2%
r 3
 
6.2%
t 2
 
4.2%
N 2
 
4.2%
K 2
 
4.2%
o 1
 
2.1%
Other values (12) 12
25.0%
Common
ValueCountFrequency (%)
1944
39.4%
0 722
 
14.6%
- 579
 
11.7%
1 533
 
10.8%
2 207
 
4.2%
( 151
 
3.1%
) 151
 
3.1%
5 105
 
2.1%
: 100
 
2.0%
6 86
 
1.7%
Other values (11) 361
 
7.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 4902
50.5%
Hangul 4721
48.6%
Arrows 85
 
0.9%
Compat Jamo 1
 
< 0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1944
39.7%
0 722
 
14.7%
- 579
 
11.8%
1 533
 
10.9%
2 207
 
4.2%
( 151
 
3.1%
) 151
 
3.1%
5 105
 
2.1%
: 100
 
2.0%
6 86
 
1.8%
Other values (32) 324
 
6.6%
Hangul
ValueCountFrequency (%)
간 421
 
8.9%
분 335
 
7.1%
일 237
 
5.0%
영 184
 
3.9%
격 181
 
3.8%
촬 179
 
3.8%
시 177
 
3.7%
용 133
 
2.8%
허 129
 
2.7%
구 120
 
2.5%
Other values (283) 2625
55.6%
Arrows
ValueCountFrequency (%)
↔ 85
100.0%
Compat Jamo
ValueCountFrequency (%)
ㅇ 1
100.0%

Interactions

2023-12-13T03:29:11.103415image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:29:09.108108image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:29:09.677315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:29:10.227683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:29:11.248218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:29:09.259009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:29:09.815373image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:29:10.365345image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:29:11.379632image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:29:09.403676image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:29:09.943954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:29:10.491839image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:29:11.512656image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:29:09.543158image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:29:10.103822image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T03:29:10.638452image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T03:29:17.925903image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공간정보아이디경도위도구군코드구군명평일단속시작시간평일단속종료시간토요일단속시작시간토요일단속종료시간공휴일단속시작시간공휴일단속종료시간
공간정보아이디1.0000.6510.5000.8510.8510.7270.6590.6570.7230.5520.711
경도0.6511.0000.6570.8300.8300.8020.6690.6750.6520.6470.650
위도0.5000.6571.0000.7430.7430.7670.6490.8280.7190.7250.722
구군코드0.8510.8300.7431.0001.0000.9620.9400.9590.9330.9280.933
구군명0.8510.8300.7431.0001.0000.9620.9400.9590.9330.9280.933
평일단속시작시간0.7270.8020.7670.9620.9621.0000.9570.9350.8650.9400.874
평일단속종료시간0.6590.6690.6490.9400.9400.9571.0000.8580.9370.8670.935
토요일단속시작시간0.6570.6750.8280.9590.9590.9350.8581.0000.9341.0000.980
토요일단속종료시간0.7230.6520.7190.9330.9330.8650.9370.9341.0000.9801.000
공휴일단속시작시간0.5520.6470.7250.9280.9280.9400.8671.0000.9801.0000.980
공휴일단속종료시간0.7110.6500.7220.9330.9330.8740.9350.9801.0000.9801.000
2023-12-13T03:29:18.122372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
평일단속종료시간구군명공휴일단속시작시간토요일단속종료시간평일단속시작시간토요일단속시작시간공휴일단속종료시간
평일단속종료시간1.0000.6520.5740.7420.6560.5430.735
구군명0.6521.0000.7860.7980.8170.7940.799
공휴일단속시작시간0.5740.7861.0000.7420.7511.0000.740
토요일단속종료시간0.7420.7980.7421.0000.5820.7381.000
평일단속시작시간0.6560.8170.7510.5821.0000.7200.588
토요일단속시작시간0.5430.7941.0000.7380.7201.0000.742
공휴일단속종료시간0.7350.7990.7401.0000.5880.7421.000
2023-12-13T03:29:18.306254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
공간정보아이디경도위도구군코드구군명평일단속시작시간평일단속종료시간토요일단속시작시간토요일단속종료시간공휴일단속시작시간공휴일단속종료시간
공간정보아이디1.000-0.393-0.4850.7790.5250.4740.3630.3500.5250.3610.511
경도-0.3931.0000.322-0.5790.5940.4490.3130.3600.3460.3420.344
위도-0.4850.3221.000-0.6140.4860.4230.3060.4690.4680.4750.472
구군코드0.779-0.579-0.6141.0001.0000.8170.6520.7940.7980.7860.799
구군명0.5250.5940.4861.0001.0000.8170.6520.7940.7980.7860.799
평일단속시작시간0.4740.4490.4230.8170.8171.0000.6560.7200.5820.7510.588
평일단속종료시간0.3630.3130.3060.6520.6520.6561.0000.5430.7420.5740.735
토요일단속시작시간0.3500.3600.4690.7940.7940.7200.5431.0000.7381.0000.742
토요일단속종료시간0.5250.3460.4680.7980.7980.5820.7420.7381.0000.7421.000
공휴일단속시작시간0.3610.3420.4750.7860.7860.7510.5741.0000.7421.0000.740
공휴일단속종료시간0.5110.3440.4720.7990.7990.5880.7350.7421.0000.7401.000

Missing values

2023-12-13T03:29:11.716965image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T03:29:11.972756image/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

공간정보아이디설치위치도로명경도위도구군코드구군명단속카메라단속여부평일단속시작시간평일단속종료시간토요일단속시작시간토요일단속종료시간공휴일단속시작시간공휴일단속종료시간주정차단속비고
031서구청건너국채보상로128.55841435.8710433서구Y07:00+14:0012:00+19:00<NA><NA><NA><NA>촬영시간간격(일반-10분 화물-15분) 토 일 공휴일 제외
132이현공단주유소 옆국채보상로128.55130235.869853서구Y07:00+17:0010:00+19:00<NA><NA><NA><NA>촬영시간간격(일반-10분 화물-15분) 토 일 공휴일 제외
233대성초등학교국채보상로128.57782835.8711863서구Y07:00+14:0012:00+19:00<NA><NA><NA><NA>촬영시간간격(일반-10분 화물-15분) 토 일 공휴일 제외
334북부정류장 내서대구로128.5555335.8845273서구Y07:00+14:0012:00+19:00<NA><NA><NA><NA>촬영시간간격(일반-10분[토 일 제외] 택시-5분[토 일 포함]) 토 일 공휴일 제외
435은하수노래방당산로128.54655235.8595283서구Y07:00+14:0012:00+19:00<NA><NA><NA><NA>촬영시간간격(일반-10분 화물-15분) 토 일 공휴일 제외
536킹스턴파크서대구로128.55664435.8615163서구Y07:00+14:0012:00+19:00<NA><NA><NA><NA>촬영시간간격(일반-10분 화물-15분) 토 일 공휴일 제외
637서문시장큰장로128.57904635.8693933서구Y07:00+14:0012:00+19:00<NA><NA><NA><NA>촬영시간간격 20분 토 일 공휴일 제외
738홈플러스내당점달구벌대로128.56302735.8597683서구Y07:00+14:0012:00+19:00<NA><NA><NA><NA>촬영시간간격(일반-10분 화물-15분) 토 일 공휴일 제외
839평리푸르지오입구국채보상로50길128.55896235.8702633서구Y07:00+14:0012:00+19:00<NA><NA><NA><NA>촬영시간간격(APT구간-25분 구청구간-10분) 토 일 공휴일 제외
9310북부정류장 입구서대구로128.55682935.8848913서구Y07:00+14:0012:00+19:00<NA><NA><NA><NA>촬영시간간격(일반-10분 화물-15분) 토 일 공휴일 제외
공간정보아이디설치위치도로명경도위도구군코드구군명단속카메라단속여부평일단속시작시간평일단속종료시간토요일단속시작시간토요일단속종료시간공휴일단속시작시간공휴일단속종료시간주정차단속비고
533126봉산문화회관입구(미래에셋증권 앞)봉산문화길128.59618735.8648311중구Y9:0022:0009:0022:0009:0022:00연중무휴
534127GS 중앙점 앞(아카데미극장 맞은편)중앙대로77길128.59359635.8682521중구Y9:0022:0009:0022:0009:0022:00연중무휴
535128중앙로역(대한보청기 앞)중앙대로128.59374635.8696041중구Y9:0022:0009:0022:0009:0022:00연중무휴
536129롯데영프라자 부근(구.한일극장 맞은편)국채보상로128.5961235.870781중구Y9:0022:0009:0022:0009:0022:00연중무휴
537130곽병원 부근(한양검정고시학원 앞)국채보상로128.58948435.870381중구Y9:0022:0009:0022:0009:0022:00연중무휴
538131동도교회(제2신천교)태평로128.60938835.8731591중구Y9:0022:0009:0022:0009:0022:00연중무휴
539132서문시장5지구 앞큰장로128.57782235.868311중구Y9:0022:0009:0022:0009:0022:00연중무휴
540133방천시장 입구달구벌대로128.60648135.8622791중구Y9:0022:0009:0022:0009:0022:00연중무휴
541134동산네거리(새동산약국)달성로128.58230635.8705151중구Y9:0022:0009:0022:0009:0022:00연중무휴
542135태왕스파크 앞동성로3길128.5982235.8689711중구Y9:0022:0009:0022:0009:0022:00연중무휴