Overview

Dataset statistics

Number of variables6
Number of observations41
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory2.1 KiB
Average record size in memory53.2 B

Variable types

Numeric2
Categorical3
Text1

Dataset

Description울산광역시 지역 내 점심 시간대 및 야간시간, 심야시간대 별 주정차 허용 장소를 공개함으로써 국민들의 알 권리를 충족시키고자 합니다.
Author경찰청 울산광역시경찰청
URLhttps://www.data.go.kr/data/15007071/fileData.do

Alerts

연번 is highly overall correlated with 거 리(km) and 1 other fieldsHigh correlation
거 리(km) is highly overall correlated with 연번High correlation
서별 is highly overall correlated with 연번 and 2 other fieldsHigh correlation
허용시간 is highly overall correlated with 서별High correlation
비고 is highly overall correlated with 서별High correlation
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 17:03:57.892528
Analysis finished2023-12-12 17:03:58.975622
Duration1.08 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct41
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean21
Minimum1
Maximum41
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T02:03:59.044752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile3
Q111
median21
Q331
95-th percentile39
Maximum41
Range40
Interquartile range (IQR)20

Descriptive statistics

Standard deviation11.979149
Coefficient of variation (CV)0.57043565
Kurtosis-1.2
Mean21
Median Absolute Deviation (MAD)10
Skewness0
Sum861
Variance143.5
MonotonicityStrictly increasing
2023-12-13T02:03:59.534224image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=41)
ValueCountFrequency (%)
1 1
 
2.4%
32 1
 
2.4%
24 1
 
2.4%
25 1
 
2.4%
26 1
 
2.4%
27 1
 
2.4%
28 1
 
2.4%
29 1
 
2.4%
30 1
 
2.4%
31 1
 
2.4%
Other values (31) 31
75.6%
ValueCountFrequency (%)
1 1
2.4%
2 1
2.4%
3 1
2.4%
4 1
2.4%
5 1
2.4%
6 1
2.4%
7 1
2.4%
8 1
2.4%
9 1
2.4%
10 1
2.4%
ValueCountFrequency (%)
41 1
2.4%
40 1
2.4%
39 1
2.4%
38 1
2.4%
37 1
2.4%
36 1
2.4%
35 1
2.4%
34 1
2.4%
33 1
2.4%
32 1
2.4%

서별
Categorical

HIGH CORRELATION 

Distinct4
Distinct (%)9.8%
Missing0
Missing (%)0.0%
Memory size460.0 B
동부
17 
중부
14 
울주
7 
남부
3 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
동부 17
41.5%
중부 14
34.1%
울주 7
17.1%
남부 3
 
7.3%

Length

2023-12-13T02:03:59.687388image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:03:59.790024image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
동부 17
41.5%
중부 14
34.1%
울주 7
17.1%
남부 3
 
7.3%

주차허용 구간
Text

Distinct39
Distinct (%)95.1%
Missing0
Missing (%)0.0%
Memory size460.0 B
2023-12-13T02:04:00.017320image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length70
Median length26
Mean length19.097561
Min length6

Characters and Unicode

Total characters783
Distinct characters160
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

Unique37 ?
Unique (%)90.2%

Sample

1st row중구 우정파크～태화초등학교 구간
2nd row중구 학성삼거리～임꺽정식당 구간
3rd row북구 쌍용아진아파트 2차, 3차 사이도로 구간
4th row북구 쌍용아진아파트 2차, 3차 사이도로 구간
5th row북구 쌍용아진아파트 농협 맞은편 도로 구간
ValueCountFrequency (%)
북구 12
 
9.3%
구간 10
 
7.8%
중구 10
 
7.8%
동구 9
 
7.0%
주변 5
 
3.9%
쌍용아진아파트 4
 
3.1%
번영로 3
 
2.3%
사이도로 2
 
1.6%
3차 2
 
1.6%
농협 2
 
1.6%
Other values (65) 70
54.3%
2023-12-13T02:04:00.487438image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
93
 
11.9%
구 47
 
6.0%
로 28
 
3.6%
동 25
 
3.2%
리 24
 
3.1%
산 22
 
2.8%
거 21
 
2.7%
) 20
 
2.6%
( 20
 
2.6%
중 14
 
1.8%
Other values (150) 469
59.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 581
74.2%
Space Separator 93
 
11.9%
Decimal Number 35
 
4.5%
Math Symbol 23
 
2.9%
Close Punctuation 20
 
2.6%
Open Punctuation 20
 
2.6%
Dash Punctuation 4
 
0.5%
Other Punctuation 3
 
0.4%
Uppercase Letter 3
 
0.4%
Lowercase Letter 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
구 47
 
8.1%
로 28
 
4.8%
동 25
 
4.3%
리 24
 
4.1%
산 22
 
3.8%
거 21
 
3.6%
중 14
 
2.4%
사 13
 
2.2%
북 12
 
2.1%
대 11
 
1.9%
Other values (127) 364
62.7%
Decimal Number
ValueCountFrequency (%)
2 8
22.9%
4 6
17.1%
1 5
14.3%
3 4
11.4%
5 4
11.4%
7 3
 
8.6%
9 2
 
5.7%
8 1
 
2.9%
6 1
 
2.9%
0 1
 
2.9%
Math Symbol
ValueCountFrequency (%)
~ 12
52.2%
～ 8
34.8%
∼ 3
 
13.0%
Uppercase Letter
ValueCountFrequency (%)
C 1
33.3%
B 1
33.3%
M 1
33.3%
Other Punctuation
ValueCountFrequency (%)
, 2
66.7%
@ 1
33.3%
Space Separator
ValueCountFrequency (%)
93
100.0%
Close Punctuation
ValueCountFrequency (%)
) 20
100.0%
Open Punctuation
ValueCountFrequency (%)
( 20
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 4
100.0%
Lowercase Letter
ValueCountFrequency (%)
e 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 581
74.2%
Common 198
 
25.3%
Latin 4
 
0.5%

Most frequent character per script

Hangul
ValueCountFrequency (%)
구 47
 
8.1%
로 28
 
4.8%
동 25
 
4.3%
리 24
 
4.1%
산 22
 
3.8%
거 21
 
3.6%
중 14
 
2.4%
사 13
 
2.2%
북 12
 
2.1%
대 11
 
1.9%
Other values (127) 364
62.7%
Common
ValueCountFrequency (%)
93
47.0%
) 20
 
10.1%
( 20
 
10.1%
~ 12
 
6.1%
～ 8
 
4.0%
2 8
 
4.0%
4 6
 
3.0%
1 5
 
2.5%
3 4
 
2.0%
5 4
 
2.0%
Other values (9) 18
 
9.1%
Latin
ValueCountFrequency (%)
e 1
25.0%
C 1
25.0%
B 1
25.0%
M 1
25.0%

Most occurring blocks

ValueCountFrequency (%)
Hangul 581
74.2%
ASCII 191
 
24.4%
None 8
 
1.0%
Math Operators 3
 
0.4%

Most frequent character per block

ASCII
ValueCountFrequency (%)
93
48.7%
) 20
 
10.5%
( 20
 
10.5%
~ 12
 
6.3%
2 8
 
4.2%
4 6
 
3.1%
1 5
 
2.6%
3 4
 
2.1%
5 4
 
2.1%
- 4
 
2.1%
Other values (11) 15
 
7.9%
Hangul
ValueCountFrequency (%)
구 47
 
8.1%
로 28
 
4.8%
동 25
 
4.3%
리 24
 
4.1%
산 22
 
3.8%
거 21
 
3.6%
중 14
 
2.4%
사 13
 
2.2%
북 12
 
2.1%
대 11
 
1.9%
Other values (127) 364
62.7%
None
ValueCountFrequency (%)
～ 8
100.0%
Math Operators
ValueCountFrequency (%)
∼ 3
100.0%

허용시간
Categorical

HIGH CORRELATION 

Distinct14
Distinct (%)34.1%
Missing0
Missing (%)0.0%
Memory size460.0 B
20:00~07:00 (점심시간12:00~14:00)
9 
20:00~07:00(점심시간12:00~14:00) 주말, 공휴일상시허용
9 
20:00~07:00
8 
4:00~07:00
3 
토14:00~일20:00 휴일
2 
Other values (9)
10 

Length

Max length40
Median length23
Mean length22.804878
Min length10

Unique

Unique8 ?
Unique (%)19.5%

Sample

1st row20:00~07:00
2nd row20:00~07:00
3rd row20:00~07:00
4th row토14:00~일20:00 휴일
5th row20:00~07:00

Common Values

ValueCountFrequency (%)
20:00~07:00 (점심시간12:00~14:00) 9
22.0%
20:00~07:00(점심시간12:00~14:00) 주말, 공휴일상시허용 9
22.0%
20:00~07:00 8
19.5%
4:00~07:00 3
 
7.3%
토14:00~일20:00 휴일 2
 
4.9%
공휴일 06:00~22:00 토요일 제외 2
 
4.9%
4:00~10:00 1
 
2.4%
21:00~07:00 1
 
2.4%
주말공휴일 2시간내 가능 1
 
2.4%
공휴일 06:00부터 22:00 1
 
2.4%
Other values (4) 4
9.8%

Length

2023-12-13T02:04:00.685436image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
20:00~07:00 17
20.2%
20:00~07:00(점심시간12:00~14:00 9
10.7%
주말 9
10.7%
공휴일상시허용 9
10.7%
점심시간12:00~14:00 9
10.7%
공휴일 4
 
4.8%
4:00~07:00 3
 
3.6%
제외 3
 
3.6%
토요일 2
 
2.4%
06:00~22:00 2
 
2.4%
Other values (15) 17
20.2%

거 리(km)
Real number (ℝ)

HIGH CORRELATION 

Distinct29
Distinct (%)70.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean1.1706098
Minimum0.055
Maximum14.2
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size501.0 B
2023-12-13T02:04:00.820404image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0.055
5-th percentile0.1
Q10.23
median0.27
Q30.5
95-th percentile3.15
Maximum14.2
Range14.145
Interquartile range (IQR)0.27

Descriptive statistics

Standard deviation2.8249301
Coefficient of variation (CV)2.4132125
Kurtosis15.971584
Mean1.1706098
Median Absolute Deviation (MAD)0.07
Skewness4.0026871
Sum47.995
Variance7.9802302
MonotonicityNot monotonic
2023-12-13T02:04:00.985315image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=29)
ValueCountFrequency (%)
0.25 3
 
7.3%
0.28 3
 
7.3%
0.24 3
 
7.3%
0.22 2
 
4.9%
0.26 2
 
4.9%
0.5 2
 
4.9%
0.23 2
 
4.9%
0.2 2
 
4.9%
0.3 2
 
4.9%
2.4 1
 
2.4%
Other values (19) 19
46.3%
ValueCountFrequency (%)
0.055 1
 
2.4%
0.09 1
 
2.4%
0.1 1
 
2.4%
0.14 1
 
2.4%
0.17 1
 
2.4%
0.19 1
 
2.4%
0.2 2
4.9%
0.22 2
4.9%
0.23 2
4.9%
0.24 3
7.3%
ValueCountFrequency (%)
14.2 1
2.4%
11.9 1
2.4%
3.15 1
2.4%
2.4 1
2.4%
2.2 1
2.4%
2.0 1
2.4%
1.55 1
2.4%
1.38 1
2.4%
0.9 1
2.4%
0.5 2
4.9%

비고
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)4.9%
Missing0
Missing (%)0.0%
Memory size460.0 B
편면
24 
양면
17 

Length

Max length2
Median length2
Mean length2
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
편면 24
58.5%
양면 17
41.5%

Length

2023-12-13T02:04:01.139159image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T02:04:01.252278image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
편면 24
58.5%
양면 17
41.5%

Interactions

2023-12-13T02:03:58.470782image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:03:58.232687image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:03:58.575592image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-13T02:03:58.357085image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T02:04:01.363859image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번서별주차허용 구간허용시간거 리(km)비고
연번1.0000.9091.0000.8330.5180.563
서별0.9091.0001.0000.9510.4630.852
주차허용 구간1.0001.0001.0000.9221.0001.000
허용시간0.8330.9510.9221.0000.0000.710
거 리(km)0.5180.4631.0000.0001.0000.380
비고0.5630.8521.0000.7100.3801.000
2023-12-13T02:04:01.494828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
비고서별허용시간
비고1.0000.6320.466
서별0.6321.0000.739
허용시간0.4660.7391.000
2023-12-13T02:04:01.601178image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번거 리(km)서별허용시간비고
연번1.0000.5460.8210.4280.450
거 리(km)0.5461.0000.3850.0000.442
서별0.8210.3851.0000.7390.632
허용시간0.4280.0000.7391.0000.466
비고0.4500.4420.6320.4661.000

Missing values

2023-12-13T02:03:58.780766image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T02:03:58.926422image/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

연번서별주차허용 구간허용시간거 리(km)비고
01중부중구 우정파크～태화초등학교 구간20:00~07:000.25편면
12중부중구 학성삼거리～임꺽정식당 구간20:00~07:000.42편면
23중부북구 쌍용아진아파트 2차, 3차 사이도로 구간20:00~07:000.3편면
34중부북구 쌍용아진아파트 2차, 3차 사이도로 구간토14:00~일20:00 휴일0.3편면
45중부북구 쌍용아진아파트 농협 맞은편 도로 구간20:00~07:000.2편면
56중부북구 쌍용아진아파트 농협 맞은편 도로 구간토14:00~일20:00 휴일0.2편면
67중부중구 태화동 일중로 구간20:00~07:000.24양면
78중부중구 남외동 가내골길 구간20:00~07:000.24양면
89중부중구 번영로 역전시장(학산동 부산은행～전자마트)4:00~07:000.09편면
910중부중구 번영로 역전시장(학산가구마트～복산육거리)4:00~07:000.1편면
연번서별주차허용 구간허용시간거 리(km)비고
3132동부동구 등대4길 방어동57-7(봉황)~방어동91-2(이마트24)20:00~07:00(점심시간12:00~14:00) 주말, 공휴일상시허용0.34편면
3233동부동구 명덕시장~명덕패밀리 아파트 구간20:00~07:000.25편면
3334동부동구 현대공고사거리~장승삼거리 구간20:00~07:000.22편면
3435울주백천교삼거리~선바위20:00~07:00(점심시간12:00~14:00) 주말, 공휴일상시허용2.2양면
3536울주언양 역세권 주변20:00~07:00(점심시간12:00~14:00) 주말, 공휴일상시허용3.15양면
3637울주온산공단 주변 (이수삼거리∼온산항사거리) (케이오씨삼거리~온산역사거리) (산성저수지~세진중공업앞) (원봉로입구∼온산하수처리장)20:00~07:00(점심시간12:00~14:00) 주말, 공휴일상시허용14.2양면
3738울주대한유화앞 삼거리∼방도로입구삼거리20:00~07:00(점심시간12:00~14:00) 주말, 공휴일상시허용2.0양면
3839울주신일반산단 주변20:00~07:00(점심시간12:00~14:00) 주말, 공휴일상시허용11.9양면
3940울주봉계일반산단 주변20:00~07:00(점심시간12:00~14:00) 주말, 공휴일상시허용2.4양면
4041울주전읍일반산단 주변20:00~07:00(점심시간12:00~14:00) 주말, 공휴일상시허용0.9양면