Overview

Dataset statistics

Number of variables5
Number of observations103
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.3 KiB
Average record size in memory42.3 B

Variable types

Numeric1
Categorical3
Text1

Dataset

Description인천광역시 연수구의 탄력적 주정차 허용구간 데이터로서 연번, 지역명, 주정차허용구간, 허용시간 등의 항목으로 이루어져 있습니다.
Author인천광역시 연수구
URLhttps://data.incheon.go.kr/findData/publicDataDetail?dataId=15122888&srcSe=7661IVAWM27C61E190

Alerts

연번 is highly overall correlated with 지역명High correlation
지역명 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
허용시간 is highly overall correlated with 지역명High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2024-01-28 06:24:57.420200
Analysis finished2024-01-28 06:24:57.821488
Duration0.4 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct103
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean52
Minimum1
Maximum103
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.0 KiB
2024-01-28T15:24:57.876742image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile6.1
Q126.5
median52
Q377.5
95-th percentile97.9
Maximum103
Range102
Interquartile range (IQR)51

Descriptive statistics

Standard deviation29.877528
Coefficient of variation (CV)0.57456784
Kurtosis-1.2
Mean52
Median Absolute Deviation (MAD)26
Skewness0
Sum5356
Variance892.66667
MonotonicityStrictly increasing
2024-01-28T15:24:57.980292image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
1.0%
2 1
 
1.0%
77 1
 
1.0%
76 1
 
1.0%
75 1
 
1.0%
74 1
 
1.0%
73 1
 
1.0%
72 1
 
1.0%
71 1
 
1.0%
70 1
 
1.0%
Other values (93) 93
90.3%
ValueCountFrequency (%)
1 1
1.0%
2 1
1.0%
3 1
1.0%
4 1
1.0%
5 1
1.0%
6 1
1.0%
7 1
1.0%
8 1
1.0%
9 1
1.0%
10 1
1.0%
ValueCountFrequency (%)
103 1
1.0%
102 1
1.0%
101 1
1.0%
100 1
1.0%
99 1
1.0%
98 1
1.0%
97 1
1.0%
96 1
1.0%
95 1
1.0%
94 1
1.0%

지역명
Categorical

HIGH CORRELATION 

Distinct7
Distinct (%)6.8%
Missing0
Missing (%)0.0%
Memory size956.0 B
송도동
69 
청학동
10 
연수2동
 
6
연수3동
 
6
옥련1동
 
4
Other values (2)
8 

Length

Max length4
Median length3
Mean length3.1941748
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row옥련1동
2nd row옥련1동
3rd row옥련1동
4th row옥련1동
5th row동춘2동

Common Values

ValueCountFrequency (%)
송도동 69
67.0%
청학동 10
 
9.7%
연수2동 6
 
5.8%
연수3동 6
 
5.8%
옥련1동 4
 
3.9%
동춘2동 4
 
3.9%
선학동 4
 
3.9%

Length

2024-01-28T15:24:58.080847image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2024-01-28T15:24:58.163493image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
송도동 69
67.0%
청학동 10
 
9.7%
연수2동 6
 
5.8%
연수3동 6
 
5.8%
옥련1동 4
 
3.9%
동춘2동 4
 
3.9%
선학동 4
 
3.9%

주정차허용구간
Text

Distinct51
Distinct (%)49.5%
Missing0
Missing (%)0.0%
Memory size956.0 B
2024-01-28T15:24:58.399962image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length32
Median length21
Mean length13.242718
Min length3

Characters and Unicode

Total characters1364
Distinct characters92
Distinct categories8 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row한나루로(옥련동308-2)
2nd row한나루로(옥련동308-2)
3rd row한나루로86번길(옥련동583)
4th row한나루로86번길(옥련동583)
5th row앵고개로264번길(동춘동959-1)
ValueCountFrequency (%)
첨단대로30번길,송도문화로28번길,송도과학로27 3
 
2.8%
28번길 3
 
2.8%
송도동129,132번지,송도동137번지 2
 
1.9%
아카데미로192번길 2
 
1.9%
아트센터대로97번길 2
 
1.9%
신송로 2
 
1.9%
컨벤시아대로42번길 2
 
1.9%
테크노파크로~송도문화로 2
 
1.9%
송도국제대로343번길 2
 
1.9%
송도교육로 2
 
1.9%
Other values (42) 84
79.2%
2024-01-28T15:24:58.720190image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
로 121
 
8.9%
1 78
 
5.7%
번 77
 
5.6%
길 71
 
5.2%
2 69
 
5.1%
대 47
 
3.4%
3 47
 
3.4%
동 46
 
3.4%
송 40
 
2.9%
5 36
 
2.6%
Other values (82) 732
53.7%

Most occurring categories

ValueCountFrequency (%)
Other Letter 846
62.0%
Decimal Number 386
28.3%
Open Punctuation 34
 
2.5%
Close Punctuation 34
 
2.5%
Other Punctuation 25
 
1.8%
Dash Punctuation 22
 
1.6%
Math Symbol 14
 
1.0%
Space Separator 3
 
0.2%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 121
 
14.3%
번 77
 
9.1%
길 71
 
8.4%
대 47
 
5.6%
동 46
 
5.4%
송 40
 
4.7%
도 34
 
4.0%
아 26
 
3.1%
학 25
 
3.0%
연 16
 
1.9%
Other values (66) 343
40.5%
Decimal Number
ValueCountFrequency (%)
1 78
20.2%
2 69
17.9%
3 47
12.2%
5 36
9.3%
0 35
9.1%
9 28
 
7.3%
8 28
 
7.3%
6 26
 
6.7%
4 22
 
5.7%
7 17
 
4.4%
Open Punctuation
ValueCountFrequency (%)
( 34
100.0%
Close Punctuation
ValueCountFrequency (%)
) 34
100.0%
Other Punctuation
ValueCountFrequency (%)
, 25
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 22
100.0%
Math Symbol
ValueCountFrequency (%)
~ 14
100.0%
Space Separator
ValueCountFrequency (%)
3
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 846
62.0%
Common 518
38.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 121
 
14.3%
번 77
 
9.1%
길 71
 
8.4%
대 47
 
5.6%
동 46
 
5.4%
송 40
 
4.7%
도 34
 
4.0%
아 26
 
3.1%
학 25
 
3.0%
연 16
 
1.9%
Other values (66) 343
40.5%
Common
ValueCountFrequency (%)
1 78
15.1%
2 69
13.3%
3 47
9.1%
5 36
 
6.9%
0 35
 
6.8%
( 34
 
6.6%
) 34
 
6.6%
9 28
 
5.4%
8 28
 
5.4%
6 26
 
5.0%
Other values (6) 103
19.9%

Most occurring blocks

ValueCountFrequency (%)
Hangul 846
62.0%
ASCII 518
38.0%

Most frequent character per block

Hangul
ValueCountFrequency (%)
로 121
 
14.3%
번 77
 
9.1%
길 71
 
8.4%
대 47
 
5.6%
동 46
 
5.4%
송 40
 
4.7%
도 34
 
4.0%
아 26
 
3.1%
학 25
 
3.0%
연 16
 
1.9%
Other values (66) 343
40.5%
ASCII
ValueCountFrequency (%)
1 78
15.1%
2 69
13.3%
3 47
9.1%
5 36
 
6.9%
0 35
 
6.8%
( 34
 
6.6%
) 34
 
6.6%
9 28
 
5.4%
8 28
 
5.4%
6 26
 
5.0%
Other values (6) 103
19.9%

허용면_거리
Categorical

Distinct43
Distinct (%)41.7%
Missing0
Missing (%)0.0%
Memory size956.0 B
양면
34 
(양면)
14 
1km
 
3
(일면)
 
3
1.1km
 
3
Other values (38)
46 

Length

Max length6
Median length5
Mean length3.6116505
Min length2

Unique

Unique30 ?
Unique (%)29.1%

Sample

1st row240m
2nd row(일면)
3rd row230m
4th row(양면)
5th row200m

Common Values

ValueCountFrequency (%)
양면 34
33.0%
(양면) 14
 
13.6%
1km 3
 
2.9%
(일면) 3
 
2.9%
1.1km 3
 
2.9%
1.2km 2
 
1.9%
200m 2
 
1.9%
150m 2
 
1.9%
0.7km 2
 
1.9%
0.9km 2
 
1.9%
Other values (33) 36
35.0%

Length

2024-01-28T15:24:58.839331image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
양면 48
46.6%
일면 3
 
2.9%
1.1km 3
 
2.9%
1km 3
 
2.9%
0.9km 2
 
1.9%
1.0km 2
 
1.9%
250m 2
 
1.9%
2.6km 2
 
1.9%
0.7km 2
 
1.9%
150m 2
 
1.9%
Other values (32) 34
33.0%

허용시간
Categorical

HIGH CORRELATION 

Distinct11
Distinct (%)10.7%
Missing0
Missing (%)0.0%
Memory size956.0 B
주말 및 공휴일24시간 허용
69 
18:00~20:00금지시간
12 
07:00~09:00금지시간
11 
종일허용
 
2
06:00~22:00허용시간
 
2
Other values (6)
7 

Length

Max length17
Median length15
Mean length14.640777
Min length4

Unique

Unique5 ?
Unique (%)4.9%

Sample

1st row종일허용
2nd row종일허용
3rd row07:00~09:00금지시간
4th row18:00~20:00금지시간
5th row06:00~09:00금지시간

Common Values

ValueCountFrequency (%)
주말 및 공휴일24시간 허용 69
67.0%
18:00~20:00금지시간 12
 
11.7%
07:00~09:00금지시간 11
 
10.7%
종일허용 2
 
1.9%
06:00~22:00허용시간 2
 
1.9%
07:00~16:00금지시간 2
 
1.9%
06:00~09:00금지시간 1
 
1.0%
09:00~22:00(13시간) 1
 
1.0%
승용차에한하여 허용 1
 
1.0%
06:00~22:00 1
 
1.0%

Length

2024-01-28T15:24:58.936536image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
주말 70
22.4%
허용 70
22.4%
및 69
22.1%
공휴일24시간 69
22.1%
18:00~20:00금지시간 12
 
3.8%
07:00~09:00금지시간 11
 
3.5%
종일허용 2
 
0.6%
06:00~22:00허용시간 2
 
0.6%
07:00~16:00금지시간 2
 
0.6%
06:00~09:00금지시간 1
 
0.3%
Other values (4) 4
 
1.3%

Interactions

2024-01-28T15:24:57.643546image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-01-28T15:24:58.995307image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지역명주정차허용구간허용면_거리허용시간
연번1.0000.8090.9970.7410.618
지역명0.8091.0001.0000.8000.858
주정차허용구간0.9971.0001.0000.0000.900
허용면_거리0.7410.8000.0001.0000.909
허용시간0.6180.8580.9000.9091.000
2024-01-28T15:24:59.067783image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
허용면_거리지역명허용시간
허용면_거리1.0000.3500.479
지역명0.3501.0000.643
허용시간0.4790.6431.000
2024-01-28T15:24:59.142236image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번지역명허용면_거리허용시간
연번1.0000.5780.2850.316
지역명0.5781.0000.3500.643
허용면_거리0.2850.3501.0000.479
허용시간0.3160.6430.4791.000

Missing values

2024-01-28T15:24:57.724547image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-01-28T15:24:57.794153image/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

연번지역명주정차허용구간허용면_거리허용시간
01옥련1동한나루로(옥련동308-2)240m종일허용
12옥련1동한나루로(옥련동308-2)(일면)종일허용
23옥련1동한나루로86번길(옥련동583)230m07:00~09:00금지시간
34옥련1동한나루로86번길(옥련동583)(양면)18:00~20:00금지시간
45동춘2동앵고개로264번길(동춘동959-1)200m06:00~09:00금지시간
56동춘2동앵고개로264번길(동춘동959-1)(양면)18:00~20:00금지시간
67동춘2동능허대로(동춘동952)700m06:00~22:00허용시간
78동춘2동능허대로(동춘동952)(양면)06:00~22:00허용시간
89청학동비류대로232번길(청학동100-14)120m07:00~16:00금지시간
910청학동비류대로232번길(청학동100-14)(일면)07:00~16:00금지시간
연번지역명주정차허용구간허용면_거리허용시간
9394송도동첨단대로30번길,송도문화로28번길,송도과학로27, 28번길3.1km주말 및 공휴일24시간 허용
9495송도동첨단대로30번길,송도문화로28번길,송도과학로27, 28번길<NA>주말 및 공휴일24시간 허용
9596송도동송도과학로59번길양면주말 및 공휴일24시간 허용
9697송도동송도과학로59번길0.8km주말 및 공휴일24시간 허용
9798송도동첨단대로88번길~송도과학로84번길양면주말 및 공휴일24시간 허용
9899송도동첨단대로88번길~송도과학로84번길2.7km주말 및 공휴일24시간 허용
99100송도동송도동198-3~송도문화로120번길양면주말 및 공휴일24시간 허용
100101송도동송도동198-3~송도문화로120번길1.1km주말 및 공휴일24시간 허용
101102송도동송도바이오대로양면주말 및 공휴일24시간 허용
102103송도동송도바이오대로3.9km주말 및 공휴일24시간 허용