Overview

Dataset statistics

Number of variables6
Number of observations91
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.5 KiB
Average record size in memory50.5 B

Variable types

Categorical3
Text1
Numeric1
DateTime1

Dataset

Description경기도 과천시 관내 주정차금지 지정구역 현황에 대한 데이터로 도로명, 주정차금지 고시도로, 길이, 도로폭, 고시일자 등의 정보를 제공하는 자료입니다.
Author경기도 과천시
URLhttps://www.data.go.kr/data/3071706/fileData.do

Alerts

길이(M) is highly overall correlated with 비고High correlation
도로명 is highly overall correlated with 도로폭(M)High correlation
도로폭(M) is highly overall correlated with 도로명 and 1 other fieldsHigh correlation
비고 is highly overall correlated with 길이(M) and 1 other fieldsHigh correlation
비고 is highly imbalanced (56.5%)Imbalance
주정차금지 고시도로 has unique valuesUnique

Reproduction

Analysis started2023-12-12 06:32:25.685038
Analysis finished2023-12-12 06:32:26.367124
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

도로명
Categorical

HIGH CORRELATION 

Distinct38
Distinct (%)41.8%
Missing0
Missing (%)0.0%
Memory size860.0 B
상업지역및 기타지역(소로)
22 
주암동 거주자우선지역
13 
광창마을 안동내
8 
시도(대로)
6 
주암동 죽바위
 
3
Other values (33)
39 

Length

Max length14
Median length9
Mean length8.5054945
Min length3

Unique

Unique28 ?
Unique (%)30.8%

Sample

1st row국도(광로)
2nd row시도(광로)
3rd row시도(광로)
4th row지방도(대로)
5th row시도(대로)

Common Values

ValueCountFrequency (%)
상업지역및 기타지역(소로) 22
24.2%
주암동 거주자우선지역 13
14.3%
광창마을 안동내 8
 
8.8%
시도(대로) 6
 
6.6%
주암동 죽바위 3
 
3.3%
서울대공원주변도로 3
 
3.3%
뒷골2로 2
 
2.2%
시도(중로) 2
 
2.2%
마사회주변(궁말) 2
 
2.2%
시도(광로) 2
 
2.2%
Other values (28) 28
30.8%

Length

2023-12-12T15:32:26.451318image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
상업지역및 22
16.1%
기타지역(소로 22
16.1%
주암동 16
11.7%
거주자우선지역 13
 
9.5%
광창마을 8
 
5.8%
안동내 8
 
5.8%
시도(대로 6
 
4.4%
죽바위 3
 
2.2%
서울대공원주변도로 3
 
2.2%
시도(중로 2
 
1.5%
Other values (31) 34
24.8%

주정차금지 고시도로
Text

UNIQUE 

Distinct91
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size860.0 B
2023-12-12T15:32:26.729325image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length98
Median length21
Mean length15.230769
Min length4

Characters and Unicode

Total characters1386
Distinct characters142
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

Unique91 ?
Unique (%)100.0%

Sample

1st row남태령~인덕원
2nd row선암로(관문사거리~주암동서울시계)
3rd row부진입로(선암사거리~서울대공원)
4th row과천~의왕고속도로
5th row중앙로(관문사거리~갈현삼거리)
ValueCountFrequency (%)
54
 
23.5%
과천동 5
 
2.2%
갈현동 4
 
1.7%
우리은행 3
 
1.3%
37-1 2
 
0.9%
뒷골2로 2
 
0.9%
국민은행 2
 
0.9%
주암동31-2 2
 
0.9%
15-165 2
 
0.9%
15-92 2
 
0.9%
Other values (149) 152
66.1%
2023-12-12T15:32:27.168521image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
150
 
10.8%
- 95
 
6.9%
1 86
 
6.2%
~ 79
 
5.7%
6 56
 
4.0%
동 56
 
4.0%
2 55
 
4.0%
3 51
 
3.7%
7 40
 
2.9%
4 40
 
2.9%
Other values (132) 678
48.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 584
42.1%
Decimal Number 433
31.2%
Space Separator 150
 
10.8%
Dash Punctuation 95
 
6.9%
Math Symbol 79
 
5.7%
Open Punctuation 14
 
1.0%
Close Punctuation 14
 
1.0%
Other Punctuation 14
 
1.0%
Uppercase Letter 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 56
 
9.6%
주 33
 
5.7%
암 24
 
4.1%
과 21
 
3.6%
천 21
 
3.6%
로 21
 
3.6%
원 18
 
3.1%
문 13
 
2.2%
사 12
 
2.1%
공 12
 
2.1%
Other values (111) 353
60.4%
Decimal Number
ValueCountFrequency (%)
1 86
19.9%
6 56
12.9%
2 55
12.7%
3 51
11.8%
7 40
9.2%
4 40
9.2%
5 39
9.0%
9 28
 
6.5%
0 22
 
5.1%
8 16
 
3.7%
Other Punctuation
ValueCountFrequency (%)
, 7
50.0%
: 5
35.7%
/ 2
 
14.3%
Uppercase Letter
ValueCountFrequency (%)
R 1
33.3%
C 1
33.3%
I 1
33.3%
Space Separator
ValueCountFrequency (%)
150
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 95
100.0%
Math Symbol
ValueCountFrequency (%)
~ 79
100.0%
Open Punctuation
ValueCountFrequency (%)
( 14
100.0%
Close Punctuation
ValueCountFrequency (%)
) 14
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 799
57.6%
Hangul 584
42.1%
Latin 3
 
0.2%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 56
 
9.6%
주 33
 
5.7%
암 24
 
4.1%
과 21
 
3.6%
천 21
 
3.6%
로 21
 
3.6%
원 18
 
3.1%
문 13
 
2.2%
사 12
 
2.1%
공 12
 
2.1%
Other values (111) 353
60.4%
Common
ValueCountFrequency (%)
150
18.8%
- 95
11.9%
1 86
10.8%
~ 79
9.9%
6 56
 
7.0%
2 55
 
6.9%
3 51
 
6.4%
7 40
 
5.0%
4 40
 
5.0%
5 39
 
4.9%
Other values (8) 108
13.5%
Latin
ValueCountFrequency (%)
R 1
33.3%
C 1
33.3%
I 1
33.3%

Most occurring blocks

ValueCountFrequency (%)
ASCII 802
57.9%
Hangul 584
42.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
150
18.7%
- 95
11.8%
1 86
10.7%
~ 79
9.9%
6 56
 
7.0%
2 55
 
6.9%
3 51
 
6.4%
7 40
 
5.0%
4 40
 
5.0%
5 39
 
4.9%
Other values (11) 111
13.8%
Hangul
ValueCountFrequency (%)
동 56
 
9.6%
주 33
 
5.7%
암 24
 
4.1%
과 21
 
3.6%
천 21
 
3.6%
로 21
 
3.6%
원 18
 
3.1%
문 13
 
2.2%
사 12
 
2.1%
공 12
 
2.1%
Other values (111) 353
60.4%

길이(M)
Real number (ℝ)

HIGH CORRELATION 

Distinct66
Distinct (%)72.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean627.05824
Minimum2.3
Maximum6680
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size951.0 B
2023-12-12T15:32:27.334367image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2.3
5-th percentile30
Q1120
median220
Q3441.5
95-th percentile2885
Maximum6680
Range6677.7
Interquartile range (IQR)321.5

Descriptive statistics

Standard deviation1098.9143
Coefficient of variation (CV)1.7524915
Kurtosis11.963857
Mean627.05824
Median Absolute Deviation (MAD)140
Skewness3.2175502
Sum57062.3
Variance1207612.5
MonotonicityNot monotonic
2023-12-12T15:32:27.512653image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
30.0 7
 
7.7%
150.0 4
 
4.4%
130.0 4
 
4.4%
140.0 3
 
3.3%
300.0 3
 
3.3%
120.0 2
 
2.2%
205.0 2
 
2.2%
360.0 2
 
2.2%
500.0 2
 
2.2%
280.0 2
 
2.2%
Other values (56) 60
65.9%
ValueCountFrequency (%)
2.3 1
 
1.1%
20.0 1
 
1.1%
30.0 7
7.7%
40.0 1
 
1.1%
57.0 1
 
1.1%
60.0 2
 
2.2%
64.0 1
 
1.1%
70.0 1
 
1.1%
80.0 1
 
1.1%
88.0 1
 
1.1%
ValueCountFrequency (%)
6680.0 1
1.1%
4600.0 1
1.1%
3810.0 1
1.1%
3500.0 1
1.1%
2920.0 1
1.1%
2850.0 1
1.1%
2480.0 1
1.1%
2400.0 1
1.1%
2240.0 1
1.1%
1820.0 1
1.1%

도로폭(M)
Categorical

HIGH CORRELATION 

Distinct24
Distinct (%)26.4%
Missing0
Missing (%)0.0%
Memory size860.0 B
6
27 
06~10
25 
8
6 
30
6 
7
4 
Other values (19)
23 

Length

Max length7
Median length6
Mean length2.8461538
Min length1

Unique

Unique16 ?
Unique (%)17.6%

Sample

1st row50
2nd row50
3rd row50
4th row30
5th row의회영상

Common Values

ValueCountFrequency (%)
6 27
29.7%
06~10 25
27.5%
8 6
 
6.6%
30 6
 
6.6%
7 4
 
4.4%
50 3
 
3.3%
10~20 2
 
2.2%
8~10 2
 
2.2%
5~6 1
 
1.1%
의회영상 1
 
1.1%
Other values (14) 14
15.4%

Length

2023-12-12T15:32:27.685375image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
6 27
29.0%
06~10 25
26.9%
8 7
 
7.5%
30 6
 
6.5%
7 4
 
4.3%
50 3
 
3.2%
15 2
 
2.2%
10~20 2
 
2.2%
8~10 2
 
2.2%
7~8 1
 
1.1%
Other values (14) 14
15.1%

고시일자
Date

Distinct26
Distinct (%)28.6%
Missing0
Missing (%)0.0%
Memory size860.0 B
Minimum1991-10-05 00:00:00
Maximum2022-08-25 00:00:00
2023-12-12T15:32:27.829937image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T15:32:27.986197image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=26)

비고
Categorical

HIGH CORRELATION  IMBALANCE 

Distinct7
Distinct (%)7.7%
Missing0
Missing (%)0.0%
Memory size860.0 B
<NA>
71 
24시간
9 
08:00~18:00
 
4
시간제허용
 
4
평일주차금지
 
1
Other values (2)
 
2

Length

Max length22
Median length4
Mean length4.6153846
Min length4

Unique

Unique3 ?
Unique (%)3.3%

Sample

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

Common Values

ValueCountFrequency (%)
<NA> 71
78.0%
24시간 9
 
9.9%
08:00~18:00 4
 
4.4%
시간제허용 4
 
4.4%
평일주차금지 1
 
1.1%
일부(3,4단지사이)09:00~18:00 1
 
1.1%
일부 시간제허용 1
 
1.1%

Length

2023-12-12T15:32:28.154769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T15:32:28.299742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
na 71
77.2%
24시간 9
 
9.8%
시간제허용 5
 
5.4%
08:00~18:00 4
 
4.3%
평일주차금지 1
 
1.1%
일부(3,4단지사이)09:00~18:00 1
 
1.1%
일부 1
 
1.1%

Interactions

2023-12-12T15:32:26.054303image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T15:32:28.400959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도로명주정차금지 고시도로길이(M)도로폭(M)고시일자비고
도로명1.0001.0000.6900.9960.9900.833
주정차금지 고시도로1.0001.0001.0001.0001.0001.000
길이(M)0.6901.0001.0000.6580.0001.000
도로폭(M)0.9961.0000.6581.0000.9520.901
고시일자0.9901.0000.0000.9521.0000.241
비고0.8331.0001.0000.9010.2411.000
2023-12-12T15:32:28.514082image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
도로폭(M)도로명비고
도로폭(M)1.0000.8150.764
도로명0.8151.0000.293
비고0.7640.2931.000
2023-12-12T15:32:28.602933image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
길이(M)도로명도로폭(M)비고
길이(M)1.0000.2700.2600.907
도로명0.2701.0000.8150.293
도로폭(M)0.2600.8151.0000.764
비고0.9070.2930.7641.000

Missing values

2023-12-12T15:32:26.168828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T15:32:26.310663image/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

도로명주정차금지 고시도로길이(M)도로폭(M)고시일자비고
0국도(광로)남태령~인덕원6680.0501991-10-05<NA>
1시도(광로)선암로(관문사거리~주암동서울시계)4600.0501991-10-05<NA>
2시도(광로)부진입로(선암사거리~서울대공원)1500.0501991-10-05<NA>
3지방도(대로)과천~의왕고속도로2850.0301991-10-05<NA>
4시도(대로)중앙로(관문사거리~갈현삼거리)3500.0의회영상1991-10-05<NA>
5시도(대로)관문로(주공10단지입구~종합청사)1300.0301991-10-05<NA>
6시도(대로)청사로(과천IC~종합청사)900.0301991-10-05<NA>
7시도(대로)연수원로(수자원~중앙공무원연수원)800.0301991-10-05<NA>
8시도(대로)별양로(부림삼거리~2,3단지앞, 청계초등학교)2400.0301991-10-05<NA>
9시도(대로)별양동(그레이스호텔~시청)200.0301991-10-05<NA>
도로명주정차금지 고시도로길이(M)도로폭(M)고시일자비고
81뒷골로1로1구간:358-9 ~ 376-2, 2구간:376-25 ~ 375-123구간:32-4 ~ 32-12, 4구간:366 ~ 370-7 5구간:366-6 ~ 367-91000.08 ~ 152013-09-16일부 시간제허용
82중천로주암동97-8~170-3300.082013-09-1624시간
83참마을로문원동199-3 ~ 187-7121.062013-09-1624시간
84아랫뱅이로문원동34~94300.082013-09-1624시간
85문원로문원로142-17660.062013-09-1624시간
86부림1길부림1길 초입(29-11~26-5)30.062014-02-1424시간
87부림3길부림3길 초입(36-7~29-3)30.062014-02-1424시간
88뒷골2로뒷골2로 360-5 ~ 375-15360.062018-05-0124시간
89뒷골2로뒷골2로 361-1 ~ 363-10101.062018-05-0124시간
90과천대로과천대로 2길, 8가길, 8길, 12길2.382022-08-2524시간