Overview

Dataset statistics

Number of variables21
Number of observations402
Missing cells403
Missing cells (%)4.8%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory69.2 KiB
Average record size in memory176.3 B

Variable types

Text4
Categorical10
Unsupported3
Numeric3
DateTime1

Dataset

Description강원도내 무인단속장비 현황
Author경찰청 강원도경찰청
URLhttps://www.data.go.kr/data/15061509/fileData.do

Alerts

시도명 has constant value ""Constant
관리기관명 has constant value ""Constant
관리기관전화번호 has constant value ""Constant
데이터기준일자 has constant value ""Constant
도로노선방향 is highly imbalanced (64.2%)Imbalance
단속구간위치구분 is highly imbalanced (60.4%)Imbalance
과속단속구간길이 is highly imbalanced (75.1%)Imbalance
보호구역구분 is highly imbalanced (80.6%)Imbalance
소재지지번주소 has 402 (100.0%) missing valuesMissing
무인교통단속카메라관리번호 has unique valuesUnique
소재지도로명주소 has unique valuesUnique
설치장소 has unique valuesUnique
도로노선번호 is an unsupported type, check if it needs cleaning or further analysisUnsupported
소재지지번주소 is an unsupported type, check if it needs cleaning or further analysisUnsupported
제한속도 is an unsupported type, check if it needs cleaning or further analysisUnsupported

Reproduction

Analysis started2023-12-12 08:58:36.762299
Analysis finished2023-12-12 08:58:37.478485
Duration0.72 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

무인교통단속카메라관리번호
Text

UNIQUE 

Distinct402
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-12T17:58:37.831678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length5
Median length5
Mean length5
Min length5

Characters and Unicode

Total characters2010
Distinct characters12
Distinct categories2 ?
Distinct scripts2 ?
Distinct blocks1 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique402 ?
Unique (%)100.0%

Sample

1st rowF4831
2nd rowF4832
3rd rowF4852
4th rowF4855
5th rowF5056
ValueCountFrequency (%)
f4831 1
 
0.2%
g1104 1
 
0.2%
g1076 1
 
0.2%
g1075 1
 
0.2%
g1074 1
 
0.2%
g1073 1
 
0.2%
g1072 1
 
0.2%
g1071 1
 
0.2%
g1070 1
 
0.2%
g1069 1
 
0.2%
Other values (392) 392
97.5%
2023-12-12T17:58:38.422587image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
F 227
11.3%
8 211
10.5%
1 202
10.0%
7 190
9.5%
5 181
9.0%
0 181
9.0%
G 175
8.7%
6 172
8.6%
9 154
7.7%
2 148
7.4%
Other values (2) 169
8.4%

Most occurring categories

ValueCountFrequency (%)
Decimal Number 1608
80.0%
Uppercase Letter 402
 
20.0%

Most frequent character per category

Decimal Number
ValueCountFrequency (%)
8 211
13.1%
1 202
12.6%
7 190
11.8%
5 181
11.3%
0 181
11.3%
6 172
10.7%
9 154
9.6%
2 148
9.2%
4 92
5.7%
3 77
 
4.8%
Uppercase Letter
ValueCountFrequency (%)
F 227
56.5%
G 175
43.5%

Most occurring scripts

ValueCountFrequency (%)
Common 1608
80.0%
Latin 402
 
20.0%

Most frequent character per script

Common
ValueCountFrequency (%)
8 211
13.1%
1 202
12.6%
7 190
11.8%
5 181
11.3%
0 181
11.3%
6 172
10.7%
9 154
9.6%
2 148
9.2%
4 92
5.7%
3 77
 
4.8%
Latin
ValueCountFrequency (%)
F 227
56.5%
G 175
43.5%

Most occurring blocks

ValueCountFrequency (%)
ASCII 2010
100.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
F 227
11.3%
8 211
10.5%
1 202
10.0%
7 190
9.5%
5 181
9.0%
0 181
9.0%
G 175
8.7%
6 172
8.6%
9 154
7.7%
2 148
7.4%
Other values (2) 169
8.4%

시도명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
10
402 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row10
2nd row10
3rd row10
4th row10
5th row10

Common Values

ValueCountFrequency (%)
10 402
100.0%

Length

2023-12-12T17:58:38.903570image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:58:39.008533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
10 402
100.0%

시군구명
Categorical

Distinct18
Distinct (%)4.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
춘천시
58 
원주시
44 
강릉시
33 
인제군
27 
정선군
26 
Other values (13)
214 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row동해시
2nd row동해시
3rd row춘천시
4th row춘천시
5th row홍천군

Common Values

ValueCountFrequency (%)
춘천시 58
14.4%
원주시 44
10.9%
강릉시 33
 
8.2%
인제군 27
 
6.7%
정선군 26
 
6.5%
홍천군 23
 
5.7%
횡성군 23
 
5.7%
삼척시 22
 
5.5%
평창군 22
 
5.5%
고성군 21
 
5.2%
Other values (8) 103
25.6%

Length

2023-12-12T17:58:39.168140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
춘천시 58
14.4%
원주시 44
10.9%
강릉시 33
 
8.2%
인제군 27
 
6.7%
정선군 26
 
6.5%
홍천군 23
 
5.7%
횡성군 23
 
5.7%
삼척시 22
 
5.5%
평창군 22
 
5.5%
고성군 21
 
5.2%
Other values (8) 103
25.6%

도로종류
Categorical

Distinct5
Distinct (%)1.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2
254 
5
69 
1
41 
4
33 
6
 
5

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row5
2nd row5
3rd row1
4th row1
5th row2

Common Values

ValueCountFrequency (%)
2 254
63.2%
5 69
 
17.2%
1 41
 
10.2%
4 33
 
8.2%
6 5
 
1.2%

Length

2023-12-12T17:58:39.343152image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:58:39.476860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
2 254
63.2%
5 69
 
17.2%
1 41
 
10.2%
4 33
 
8.2%
6 5
 
1.2%

도로노선번호
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size3.3 KiB

도로노선명
Text

Distinct101
Distinct (%)25.1%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-12T17:58:39.769682image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length14
Median length8
Mean length3.9353234
Min length3

Characters and Unicode

Total characters1582
Distinct characters121
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

Unique49 ?
Unique (%)12.2%

Sample

1st row대동로
2nd row대동로
3rd row서울양양고속도로
4th row서울양양고속도로
5th row설악로
ValueCountFrequency (%)
동해대로 61
 
15.1%
설악로 27
 
6.7%
강원남로 20
 
5.0%
경강로 19
 
4.7%
영서로 19
 
4.7%
서울양양고속도로 13
 
3.2%
북원로 12
 
3.0%
미시령로 12
 
3.0%
서동로 12
 
3.0%
중앙고속도로 11
 
2.7%
Other values (92) 197
48.9%
2023-12-12T17:58:40.302588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 400
25.3%
동 103
 
6.5%
대 91
 
5.8%
해 73
 
4.6%
원 56
 
3.5%
강 53
 
3.4%
서 48
 
3.0%
도 47
 
3.0%
고 45
 
2.8%
속 41
 
2.6%
Other values (111) 625
39.5%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1578
99.7%
Decimal Number 2
 
0.1%
Dash Punctuation 1
 
0.1%
Space Separator 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 400
25.3%
동 103
 
6.5%
대 91
 
5.8%
해 73
 
4.6%
원 56
 
3.5%
강 53
 
3.4%
서 48
 
3.0%
도 47
 
3.0%
고 45
 
2.9%
속 41
 
2.6%
Other values (107) 621
39.4%
Decimal Number
ValueCountFrequency (%)
2 1
50.0%
7 1
50.0%
Dash Punctuation
ValueCountFrequency (%)
- 1
100.0%
Space Separator
ValueCountFrequency (%)
1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1578
99.7%
Common 4
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 400
25.3%
동 103
 
6.5%
대 91
 
5.8%
해 73
 
4.6%
원 56
 
3.5%
강 53
 
3.4%
서 48
 
3.0%
도 47
 
3.0%
고 45
 
2.9%
속 41
 
2.6%
Other values (107) 621
39.4%
Common
ValueCountFrequency (%)
2 1
25.0%
7 1
25.0%
- 1
25.0%
1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1578
99.7%
ASCII 4
 
0.3%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 400
25.3%
동 103
 
6.5%
대 91
 
5.8%
해 73
 
4.6%
원 56
 
3.5%
강 53
 
3.4%
서 48
 
3.0%
도 47
 
3.0%
고 45
 
2.9%
속 41
 
2.6%
Other values (107) 621
39.4%
ASCII
ValueCountFrequency (%)
2 1
25.0%
7 1
25.0%
- 1
25.0%
1
25.0%

도로노선방향
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
361 
2
 
28
1
 
13

Length

Max length4
Median length4
Mean length3.6940299
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row<NA>
2nd row<NA>
3rd row2
4th row1
5th row<NA>

Common Values

ValueCountFrequency (%)
<NA> 361
89.8%
2 28
 
7.0%
1 13
 
3.2%

Length

2023-12-12T17:58:40.470368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:58:40.621850image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 361
89.8%
2 28
 
7.0%
1 13
 
3.2%

소재지도로명주소
Text

UNIQUE 

Distinct402
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-12T17:58:40.957662image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length30.139303
Min length16

Characters and Unicode

Total characters12116
Distinct characters344
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique402 ?
Unique (%)100.0%

Sample

1st row동해 대동로 늘푸른원룸 앞(북평→해양항만청)
2nd row동해 대동로 해군군항 앞(송정동, 시청→북평)
3rd row서울양양고속도로 47.8km 춘천방향(춘천 남면 발산리)
4th row서울양양고속도로 47.7km 서울방향(춘천 남면 발산리)
5th row홍천 남면 설악로(유목정리 237-9, 서울→홍천)
ValueCountFrequency (%)
동해대로 61
 
2.9%
춘천 54
 
2.5%
앞 52
 
2.4%
원주 36
 
1.7%
강릉 29
 
1.4%
정선 25
 
1.2%
인제 24
 
1.1%
남면 22
 
1.0%
홍천 21
 
1.0%
설악로 21
 
1.0%
Other values (1052) 1785
83.8%
2023-12-12T17:58:41.501111image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1732
 
14.3%
로 621
 
5.1%
) 386
 
3.2%
( 384
 
3.2%
→ 356
 
2.9%
동 301
 
2.5%
천 263
 
2.2%
, 248
 
2.0%
차 226
 
1.9%
교 224
 
1.8%
Other values (334) 7375
60.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7651
63.1%
Space Separator 1732
 
14.3%
Decimal Number 986
 
8.1%
Close Punctuation 386
 
3.2%
Open Punctuation 384
 
3.2%
Math Symbol 372
 
3.1%
Other Punctuation 287
 
2.4%
Dash Punctuation 147
 
1.2%
Lowercase Letter 107
 
0.9%
Uppercase Letter 64
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 621
 
8.1%
동 301
 
3.9%
천 263
 
3.4%
차 226
 
3.0%
교 224
 
2.9%
리 222
 
2.9%
면 208
 
2.7%
원 185
 
2.4%
양 183
 
2.4%
강 142
 
1.9%
Other values (303) 5076
66.3%
Uppercase Letter
ValueCountFrequency (%)
C 24
37.5%
I 24
37.5%
S 4
 
6.2%
G 2
 
3.1%
L 2
 
3.1%
P 2
 
3.1%
K 2
 
3.1%
A 1
 
1.6%
E 1
 
1.6%
T 1
 
1.6%
Decimal Number
ValueCountFrequency (%)
1 197
20.0%
2 151
15.3%
3 115
11.7%
4 97
9.8%
5 96
9.7%
0 93
9.4%
6 69
 
7.0%
7 68
 
6.9%
9 59
 
6.0%
8 41
 
4.2%
Math Symbol
ValueCountFrequency (%)
→ 356
95.7%
↔ 16
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 248
86.4%
. 39
 
13.6%
Lowercase Letter
ValueCountFrequency (%)
m 63
58.9%
k 44
41.1%
Space Separator
ValueCountFrequency (%)
1732
100.0%
Close Punctuation
ValueCountFrequency (%)
) 386
100.0%
Open Punctuation
ValueCountFrequency (%)
( 384
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 147
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7651
63.1%
Common 4294
35.4%
Latin 171
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 621
 
8.1%
동 301
 
3.9%
천 263
 
3.4%
차 226
 
3.0%
교 224
 
2.9%
리 222
 
2.9%
면 208
 
2.7%
원 185
 
2.4%
양 183
 
2.4%
강 142
 
1.9%
Other values (303) 5076
66.3%
Common
ValueCountFrequency (%)
1732
40.3%
) 386
 
9.0%
( 384
 
8.9%
→ 356
 
8.3%
, 248
 
5.8%
1 197
 
4.6%
2 151
 
3.5%
- 147
 
3.4%
3 115
 
2.7%
4 97
 
2.3%
Other values (8) 481
 
11.2%
Latin
ValueCountFrequency (%)
m 63
36.8%
k 44
25.7%
C 24
 
14.0%
I 24
 
14.0%
S 4
 
2.3%
G 2
 
1.2%
L 2
 
1.2%
P 2
 
1.2%
K 2
 
1.2%
A 1
 
0.6%
Other values (3) 3
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7651
63.1%
ASCII 4093
33.8%
Arrows 372
 
3.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1732
42.3%
) 386
 
9.4%
( 384
 
9.4%
, 248
 
6.1%
1 197
 
4.8%
2 151
 
3.7%
- 147
 
3.6%
3 115
 
2.8%
4 97
 
2.4%
5 96
 
2.3%
Other values (19) 540
 
13.2%
Hangul
ValueCountFrequency (%)
로 621
 
8.1%
동 301
 
3.9%
천 263
 
3.4%
차 226
 
3.0%
교 224
 
2.9%
리 222
 
2.9%
면 208
 
2.7%
원 185
 
2.4%
양 183
 
2.4%
강 142
 
1.9%
Other values (303) 5076
66.3%
Arrows
ValueCountFrequency (%)
→ 356
95.7%
↔ 16
 
4.3%

소재지지번주소
Unsupported

MISSING  REJECTED  UNSUPPORTED 

Missing402
Missing (%)100.0%
Memory size3.7 KiB

위도
Real number (ℝ)

Distinct397
Distinct (%)98.8%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean37.690296
Minimum37.095034
Maximum38.441053
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2023-12-12T17:58:41.724623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum37.095034
5-th percentile37.185469
Q137.38699
median37.698257
Q337.938537
95-th percentile38.218401
Maximum38.441053
Range1.3460193
Interquartile range (IQR)0.55154707

Descriptive statistics

Standard deviation0.33875512
Coefficient of variation (CV)0.0089878604
Kurtosis-1.079917
Mean37.690296
Median Absolute Deviation (MAD)0.27229235
Skewness0.13600695
Sum15151.499
Variance0.11475503
MonotonicityNot monotonic
2023-12-12T17:58:41.913778image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
38.043461 2
 
0.5%
37.27 2
 
0.5%
38.218401 2
 
0.5%
37.22027778 2
 
0.5%
37.72416667 2
 
0.5%
37.52612006 1
 
0.2%
38.13614067 1
 
0.2%
37.92477484 1
 
0.2%
37.68744889 1
 
0.2%
37.89727306 1
 
0.2%
Other values (387) 387
96.3%
ValueCountFrequency (%)
37.09503391 1
0.2%
37.10448678 1
0.2%
37.10465403 1
0.2%
37.11735467 1
0.2%
37.12564292 1
0.2%
37.13596987 1
0.2%
37.14168764 1
0.2%
37.14205031 1
0.2%
37.15899097 1
0.2%
37.16114756 1
0.2%
ValueCountFrequency (%)
38.44105322 1
0.2%
38.44093619 1
0.2%
38.37219158 1
0.2%
38.36572853 1
0.2%
38.35668526 1
0.2%
38.32997534 1
0.2%
38.32973968 1
0.2%
38.31389025 1
0.2%
38.29583881 1
0.2%
38.27315341 1
0.2%

경도
Real number (ℝ)

Distinct396
Distinct (%)98.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean128.32887
Minimum127.19314
Maximum129.33827
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2023-12-12T17:58:42.081078image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum127.19314
5-th percentile127.63003
Q1127.90423
median128.34533
Q3128.75802
95-th percentile129.12138
Maximum129.33827
Range2.1451312
Interquartile range (IQR)0.8537932

Descriptive statistics

Standard deviation0.5132353
Coefficient of variation (CV)0.0039993753
Kurtosis-1.0664857
Mean128.32887
Median Absolute Deviation (MAD)0.4319866
Skewness0.030836139
Sum51588.204
Variance0.26341048
MonotonicityNot monotonic
2023-12-12T17:58:42.239459image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
128.206571 2
 
0.5%
128.6808333 2
 
0.5%
128.413692 2
 
0.5%
128.6438889 2
 
0.5%
128.7786111 2
 
0.5%
128.6294589 2
 
0.5%
128.9588127 1
 
0.2%
127.471945 1
 
0.2%
128.0596278 1
 
0.2%
128.6902025 1
 
0.2%
Other values (386) 386
96.0%
ValueCountFrequency (%)
127.193141 1
0.2%
127.229165 1
0.2%
127.2432331 1
0.2%
127.2433031 1
0.2%
127.2647025 1
0.2%
127.3010858 1
0.2%
127.3239359 1
0.2%
127.3487618 1
0.2%
127.3489657 1
0.2%
127.4152039 1
0.2%
ValueCountFrequency (%)
129.3382722 1
0.2%
129.3382298 1
0.2%
129.338181 1
0.2%
129.3381281 1
0.2%
129.2314597 1
0.2%
129.231412 1
0.2%
129.231311 1
0.2%
129.2312795 1
0.2%
129.1851342 1
0.2%
129.1781888 1
0.2%

설치장소
Text

UNIQUE 

Distinct402
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
2023-12-12T17:58:42.622870image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length44
Median length36
Mean length30.121891
Min length15

Characters and Unicode

Total characters12109
Distinct characters346
Distinct categories10 ?
Distinct scripts3 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique402 ?
Unique (%)100.0%

Sample

1st row동해 대동로 늘푸른원룸 앞(북평→해양항만청)
2nd row동해 대동로 해군군항 앞(송정동, 시청→북평)
3rd row서울양양고속도로 47.8km 춘천방향(춘천 남면 발산리)
4th row서울양양고속도로 47.7km 서울방향(춘천 남면 발산리)
5th row홍천 남면 설악로(유목정리 237-9, 서울→홍천)
ValueCountFrequency (%)
동해대로 61
 
2.9%
춘천 54
 
2.5%
앞 52
 
2.4%
원주 36
 
1.7%
강릉 29
 
1.4%
정선 25
 
1.2%
인제 24
 
1.1%
남면 22
 
1.0%
설악로 21
 
1.0%
홍천 21
 
1.0%
Other values (1052) 1784
83.8%
2023-12-12T17:58:43.199355image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
1731
 
14.3%
로 621
 
5.1%
) 385
 
3.2%
( 383
 
3.2%
→ 355
 
2.9%
동 301
 
2.5%
천 262
 
2.2%
, 247
 
2.0%
차 226
 
1.9%
교 224
 
1.8%
Other values (336) 7374
60.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 7647
63.2%
Space Separator 1731
 
14.3%
Decimal Number 986
 
8.1%
Close Punctuation 386
 
3.2%
Open Punctuation 384
 
3.2%
Math Symbol 371
 
3.1%
Other Punctuation 286
 
2.4%
Dash Punctuation 147
 
1.2%
Lowercase Letter 107
 
0.9%
Uppercase Letter 64
 
0.5%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 621
 
8.1%
동 301
 
3.9%
천 262
 
3.4%
차 226
 
3.0%
교 224
 
2.9%
리 222
 
2.9%
면 208
 
2.7%
양 185
 
2.4%
원 185
 
2.4%
강 142
 
1.9%
Other values (303) 5071
66.3%
Uppercase Letter
ValueCountFrequency (%)
I 24
37.5%
C 24
37.5%
S 4
 
6.2%
P 2
 
3.1%
G 2
 
3.1%
L 2
 
3.1%
K 2
 
3.1%
A 1
 
1.6%
T 1
 
1.6%
E 1
 
1.6%
Decimal Number
ValueCountFrequency (%)
1 197
20.0%
2 151
15.3%
3 115
11.7%
4 97
9.8%
5 96
9.7%
0 93
9.4%
6 69
 
7.0%
7 68
 
6.9%
9 59
 
6.0%
8 41
 
4.2%
Close Punctuation
ValueCountFrequency (%)
) 385
99.7%
] 1
 
0.3%
Open Punctuation
ValueCountFrequency (%)
( 383
99.7%
[ 1
 
0.3%
Math Symbol
ValueCountFrequency (%)
→ 355
95.7%
↔ 16
 
4.3%
Other Punctuation
ValueCountFrequency (%)
, 247
86.4%
. 39
 
13.6%
Lowercase Letter
ValueCountFrequency (%)
m 63
58.9%
k 44
41.1%
Space Separator
ValueCountFrequency (%)
1731
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 147
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 7647
63.2%
Common 4291
35.4%
Latin 171
 
1.4%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 621
 
8.1%
동 301
 
3.9%
천 262
 
3.4%
차 226
 
3.0%
교 224
 
2.9%
리 222
 
2.9%
면 208
 
2.7%
양 185
 
2.4%
원 185
 
2.4%
강 142
 
1.9%
Other values (303) 5071
66.3%
Common
ValueCountFrequency (%)
1731
40.3%
) 385
 
9.0%
( 383
 
8.9%
→ 355
 
8.3%
, 247
 
5.8%
1 197
 
4.6%
2 151
 
3.5%
- 147
 
3.4%
3 115
 
2.7%
4 97
 
2.3%
Other values (10) 483
 
11.3%
Latin
ValueCountFrequency (%)
m 63
36.8%
k 44
25.7%
I 24
 
14.0%
C 24
 
14.0%
S 4
 
2.3%
P 2
 
1.2%
G 2
 
1.2%
L 2
 
1.2%
K 2
 
1.2%
A 1
 
0.6%
Other values (3) 3
 
1.8%

Most occurring blocks

ValueCountFrequency (%)
Hangul 7647
63.2%
ASCII 4091
33.8%
Arrows 371
 
3.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
1731
42.3%
) 385
 
9.4%
( 383
 
9.4%
, 247
 
6.0%
1 197
 
4.8%
2 151
 
3.7%
- 147
 
3.6%
3 115
 
2.8%
4 97
 
2.4%
5 96
 
2.3%
Other values (21) 542
 
13.2%
Hangul
ValueCountFrequency (%)
로 621
 
8.1%
동 301
 
3.9%
천 262
 
3.4%
차 226
 
3.0%
교 224
 
2.9%
리 222
 
2.9%
면 208
 
2.7%
양 185
 
2.4%
원 185
 
2.4%
강 142
 
1.9%
Other values (303) 5071
66.3%
Arrows
ValueCountFrequency (%)
→ 355
95.7%
↔ 16
 
4.3%

단속구분
Categorical

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
1
223 
2
179 

Length

Max length1
Median length1
Mean length1
Min length1

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row1
2nd row1
3rd row1
4th row1
5th row2

Common Values

ValueCountFrequency (%)
1 223
55.5%
2 179
44.5%

Length

2023-12-12T17:58:43.357584image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:58:43.471192image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
1 223
55.5%
2 179
44.5%

제한속도
Unsupported

REJECTED  UNSUPPORTED 

Missing0
Missing (%)0.0%
Memory size3.3 KiB

단속구간위치구분
Categorical

IMBALANCE 

Distinct3
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
356 
시점
 
23
종점
 
23

Length

Max length4
Median length4
Mean length3.7711443
Min length2

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> 356
88.6%
시점 23
 
5.7%
종점 23
 
5.7%

Length

2023-12-12T17:58:43.617018image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:58:43.762444image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 356
88.6%
시점 23
 
5.7%
종점 23
 
5.7%

과속단속구간길이
Categorical

IMBALANCE 

Distinct12
Distinct (%)3.0%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
356 
19.9km
 
8
16km
 
8
10.8km
 
4
5.5km
 
4
Other values (7)
 
22

Length

Max length6
Median length4
Mean length4.0746269
Min length3

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> 356
88.6%
19.9km 8
 
2.0%
16km 8
 
2.0%
10.8km 4
 
1.0%
5.5km 4
 
1.0%
5km 4
 
1.0%
6.9km 4
 
1.0%
5.9km 4
 
1.0%
9km 4
 
1.0%
1km 2
 
0.5%
Other values (2) 4
 
1.0%

Length

2023-12-12T17:58:43.888683image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
na 356
88.6%
19.9km 8
 
2.0%
16km 8
 
2.0%
10.8km 4
 
1.0%
5.5km 4
 
1.0%
5km 4
 
1.0%
6.9km 4
 
1.0%
5.9km 4
 
1.0%
9km 4
 
1.0%
1km 2
 
0.5%
Other values (2) 4
 
1.0%

보호구역구분
Categorical

IMBALANCE 

Distinct2
Distinct (%)0.5%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
<NA>
390 
어린이보호구역
 
12

Length

Max length7
Median length4
Mean length4.0895522
Min length4

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> 390
97.0%
어린이보호구역 12
 
3.0%

Length

2023-12-12T17:58:44.014864image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:58:44.127048image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 390
97.0%
어린이보호구역 12
 
3.0%

설치년도
Real number (ℝ)

Distinct12
Distinct (%)3.0%
Missing1
Missing (%)0.2%
Infinite0
Infinite (%)0.0%
Mean2015.7032
Minimum2009
Maximum2020
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size3.7 KiB
2023-12-12T17:58:44.248907image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2009
5-th percentile2010
Q12013
median2017
Q32018
95-th percentile2020
Maximum2020
Range11
Interquartile range (IQR)5

Descriptive statistics

Standard deviation3.2801242
Coefficient of variation (CV)0.0016272852
Kurtosis-0.92272192
Mean2015.7032
Median Absolute Deviation (MAD)2
Skewness-0.56321638
Sum808297
Variance10.759214
MonotonicityNot monotonic
2023-12-12T17:58:44.358403image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=12)
ValueCountFrequency (%)
2018 74
18.4%
2017 68
16.9%
2019 40
10.0%
2020 40
10.0%
2013 38
9.5%
2011 34
8.5%
2016 27
 
6.7%
2014 24
 
6.0%
2010 19
 
4.7%
2009 17
 
4.2%
Other values (2) 20
 
5.0%
ValueCountFrequency (%)
2009 17
 
4.2%
2010 19
 
4.7%
2011 34
8.5%
2012 10
 
2.5%
2013 38
9.5%
2014 24
 
6.0%
2015 10
 
2.5%
2016 27
 
6.7%
2017 68
16.9%
2018 74
18.4%
ValueCountFrequency (%)
2020 40
10.0%
2019 40
10.0%
2018 74
18.4%
2017 68
16.9%
2016 27
 
6.7%
2015 10
 
2.5%
2014 24
 
6.0%
2013 38
9.5%
2012 10
 
2.5%
2011 34
8.5%

관리기관명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
강원지방경찰청
402 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
강원지방경찰청 402
100.0%

Length

2023-12-12T17:58:44.480930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:58:44.576605image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
강원지방경찰청 402
100.0%

관리기관전화번호
Categorical

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
033-248-0157
402 

Length

Max length12
Median length12
Mean length12
Min length12

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row033-248-0157
2nd row033-248-0157
3rd row033-248-0157
4th row033-248-0157
5th row033-248-0157

Common Values

ValueCountFrequency (%)
033-248-0157 402
100.0%

Length

2023-12-12T17:58:44.677009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:58:44.771208image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
033-248-0157 402
100.0%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.2%
Missing0
Missing (%)0.0%
Memory size3.3 KiB
Minimum2020-06-30 00:00:00
Maximum2020-06-30 00:00:00
2023-12-12T17:58:44.866559image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:58:44.976227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Sample

무인교통단속카메라관리번호시도명시군구명도로종류도로노선번호도로노선명도로노선방향소재지도로명주소소재지지번주소위도경도설치장소단속구분제한속도단속구간위치구분과속단속구간길이보호구역구분설치년도관리기관명관리기관전화번호데이터기준일자
0F483110동해시5해당없음대동로<NA>동해 대동로 늘푸른원룸 앞(북평→해양항만청)<NA>37.495085129.130102동해 대동로 늘푸른원룸 앞(북평→해양항만청)160<NA><NA><NA>2009강원지방경찰청033-248-01572020-06-30
1F483210동해시5해당없음대동로<NA>동해 대동로 해군군항 앞(송정동, 시청→북평)<NA>37.498964129.130506동해 대동로 해군군항 앞(송정동, 시청→북평)160<NA><NA><NA>2009강원지방경찰청033-248-01572020-06-30
2F485210춘천시160서울양양고속도로2서울양양고속도로 47.8km 춘천방향(춘천 남면 발산리)<NA>37.736667127.63서울양양고속도로 47.8km 춘천방향(춘천 남면 발산리)1100/80<NA><NA><NA>2009강원지방경찰청033-248-01572020-06-30
3F485510춘천시160서울양양고속도로1서울양양고속도로 47.7km 서울방향(춘천 남면 발산리)<NA>37.737222127.630556서울양양고속도로 47.7km 서울방향(춘천 남면 발산리)1100/80<NA><NA><NA>2009강원지방경찰청033-248-01572020-06-30
4F505610홍천군244설악로<NA>홍천 남면 설악로(유목정리 237-9, 서울→홍천)<NA>37.605115127.766841홍천 남면 설악로(유목정리 237-9, 서울→홍천)280<NA><NA><NA>2009강원지방경찰청033-248-01572020-06-30
5F505810속초시5해당없음청대로<NA>속초 청대로 대광로제비앙아파트 앞 교차로(속초→강릉)<NA>38.183955128.592925속초 청대로 대광로제비앙아파트 앞 교차로(속초→강릉)270<NA><NA><NA>2009강원지방경찰청033-248-01572020-06-30
6F505910속초시27동해대로<NA>속초 동해대로 한국타이어 앞 교차로(속초→고성)<NA>38.189779128.585213속초 동해대로 한국타이어 앞 교차로(속초→고성)260<NA><NA><NA>2009강원지방경찰청033-248-01572020-06-30
7F506010강릉시5해당없음율곡로<NA>강릉 율곡로 경포대입구교차로(속초→강릉)<NA>37.777373128.885647강릉 율곡로 경포대입구교차로(속초→강릉)270<NA><NA><NA>2009강원지방경찰청033-248-01572020-06-30
8F506110동해시277번도로<NA>동해 동해대로 동해금강병원 앞 교차로(동해→삼척)<NA>37.503784129.107058동해 동해대로 동해금강병원 앞 교차로(동해→삼척)260<NA><NA><NA>2009강원지방경찰청033-248-01572020-06-30
9F506310원주시5해당없음봉화로<NA>원주 봉화로 장수교차로(단계동 봉화산우체국 앞, 치악중학교→시청)<NA>37.350197127.928733원주 봉화로 장수교차로(단계동 봉화산우체국 앞, 치악중학교→시청)260<NA><NA><NA>2009강원지방경찰청033-248-01572020-06-30
무인교통단속카메라관리번호시도명시군구명도로종류도로노선번호도로노선명도로노선방향소재지도로명주소소재지지번주소위도경도설치장소단속구분제한속도단속구간위치구분과속단속구간길이보호구역구분설치년도관리기관명관리기관전화번호데이터기준일자
392G389410고성군27동해대로<NA>고성 죽왕면 동해대로 공현진마을 입구(공현진리 610-11, 간성→속초)<NA>38.356685128.507677고성 죽왕면 동해대로 공현진마을 입구(공현진리 610-11, 간성→속초)180<NA><NA><NA>2020강원지방경찰청033-248-01572020-06-30
393G389510인제군246설악로<NA>인제 북면 설악로 원통교차로(원통리 459-51, 속초→인제)<NA>38.121232128.208594인제 북면 설악로 원통교차로(원통리 459-51, 속초→인제)280<NA><NA><NA>2020강원지방경찰청033-248-01572020-06-30
394G389610철원군243호국로<NA>철원 갈말읍 호극로 드르니교차로(군탄리 1034-43, 철원→포천)<NA>38.145802127.301086철원 갈말읍 호극로 드르니교차로(군탄리 1034-43, 철원→포천)280<NA><NA><NA>2020강원지방경찰청033-248-01572020-06-30
395G389710화천군256사내천로<NA>화천 사내면 사내천로 용담샘터 앞(용담리 913-1, 화천→춘천)<NA>38.054543127.561941화천 사내면 사내천로 용담샘터 앞(용담리 913-1, 화천→춘천)160<NA><NA><NA>2020강원지방경찰청033-248-01572020-06-30
396G389810횡성군150영동고속도로2영동고속도로 168.6km (시점, 횡성 둔내, 원주→강릉)<NA>37.531802128.29023영동고속도로 168.6km (시점, 횡성 둔내, 원주→강릉)1100/80시점7.4km<NA>2020강원지방경찰청033-248-01572020-06-30
397G389910평창군150영동고속도로2영동고속도로 176km(종점, 평창 면온, 원주→강릉)<NA>37.562283128.355828영동고속도로 176km(종점, 평창 면온, 원주→강릉)1100/80종점7.4km<NA>2020강원지방경찰청033-248-01572020-06-30
398G410610영월군231영월로<NA>영월 영월읍 영월로 공설운동장 앞(하송리 212-15, 소방서→군청사거리)<NA>37.18167128.459382영월 영월읍 영월로 공설운동장 앞(하송리 212-15, 소방서→군청사거리)150<NA><NA><NA>2020강원지방경찰청033-248-01572020-06-30
399G410710강릉시27동해대로<NA>강릉 강동면 동해대로(시점, 산성우리 197-2, 옥계 →강릉)<NA>37.68384129.007716강릉 강동면 동해대로(시점, 산성우리 197-2, 옥계 →강릉)160시점1.6km<NA>2020강원지방경찰청033-248-01572020-06-30
400G410810강릉시27동해대로<NA>강릉 강동면 동해대로(종점, 모전리 산 182, 옥계→강릉)<NA>37.714417128.990397강릉 강동면 동해대로(종점, 모전리 산 182, 옥계→강릉)160종점1.6km<NA>2020강원지방경찰청033-248-01572020-06-30
401G410910강릉시27동해대로<NA>강릉시 사천면 동해대로 (석교리, 주문진→강릉)<NA>37.836294128.844316강릉시 사천면 동해대로 (석교리, 주문진→강릉)280<NA><NA><NA>2020강원지방경찰청033-248-01572020-06-30