Overview

Dataset statistics

Number of variables5
Number of observations140
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.7 KiB
Average record size in memory41.9 B

Variable types

Numeric1
Text1
Categorical3

Dataset

Description인천광역시 부평구 불법주차 단속 고정형CCTV의 설치위치, 단속시간, 유예시간, 비고 등에 대한 데이터를 제공합니다.
URLhttps://www.data.go.kr/data/15102467/fileData.do

Alerts

비고 has constant value ""Constant
단속시간 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
유예시간 is highly overall correlated with 연번 and 1 other fieldsHigh correlation
연번 is highly overall correlated with 단속시간 and 1 other fieldsHigh correlation
연번 has unique valuesUnique
설치위치 has unique valuesUnique

Reproduction

Analysis started2023-12-12 20:14:33.201811
Analysis finished2023-12-12 20:14:33.843050
Duration0.64 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct140
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean70.5
Minimum1
Maximum140
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.4 KiB
2023-12-13T05:14:33.920372image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.95
Q135.75
median70.5
Q3105.25
95-th percentile133.05
Maximum140
Range139
Interquartile range (IQR)69.5

Descriptive statistics

Standard deviation40.5586
Coefficient of variation (CV)0.57529928
Kurtosis-1.2
Mean70.5
Median Absolute Deviation (MAD)35
Skewness0
Sum9870
Variance1645
MonotonicityStrictly increasing
2023-12-13T05:14:34.091483image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
98 1
 
0.7%
92 1
 
0.7%
93 1
 
0.7%
94 1
 
0.7%
95 1
 
0.7%
96 1
 
0.7%
97 1
 
0.7%
99 1
 
0.7%
90 1
 
0.7%
Other values (130) 130
92.9%
ValueCountFrequency (%)
1 1
0.7%
2 1
0.7%
3 1
0.7%
4 1
0.7%
5 1
0.7%
6 1
0.7%
7 1
0.7%
8 1
0.7%
9 1
0.7%
10 1
0.7%
ValueCountFrequency (%)
140 1
0.7%
139 1
0.7%
138 1
0.7%
137 1
0.7%
136 1
0.7%
135 1
0.7%
134 1
0.7%
133 1
0.7%
132 1
0.7%
131 1
0.7%

설치위치
Text

UNIQUE 

Distinct140
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-13T05:14:34.378263image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length28
Median length23
Mean length14.664286
Min length9

Characters and Unicode

Total characters2053
Distinct characters225
Distinct categories8 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique140 ?
Unique (%)100.0%

Sample

1st row부평대로 17 부평문고 앞
2nd row부평문화로 61 문화의거리 입구
3rd row대정로 38-1 대정로 가구의 거리
4th row시장로 7 시장로 지하상가 21B입구
5th row시장로 24 까페베네 가요톱텐 쪽
ValueCountFrequency (%)
정문 40
 
9.1%
앞 33
 
7.5%
후문 15
 
3.4%
부흥로 7
 
1.6%
장제로 7
 
1.6%
맞은편 7
 
1.6%
마장로 7
 
1.6%
열우물로 5
 
1.1%
시장로 5
 
1.1%
사거리 5
 
1.1%
Other values (256) 307
70.1%
2023-12-13T05:14:34.840067image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
305
 
14.9%
로 98
 
4.8%
부 73
 
3.6%
교 62
 
3.0%
문 61
 
3.0%
학 56
 
2.7%
등 55
 
2.7%
정 54
 
2.6%
초 53
 
2.6%
1 46
 
2.2%
Other values (215) 1190
58.0%

Most occurring categories

ValueCountFrequency (%)
Other Letter 1509
73.5%
Space Separator 305
 
14.9%
Decimal Number 213
 
10.4%
Open Punctuation 8
 
0.4%
Close Punctuation 8
 
0.4%
Uppercase Letter 6
 
0.3%
Dash Punctuation 3
 
0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
로 98
 
6.5%
부 73
 
4.8%
교 62
 
4.1%
문 61
 
4.0%
학 56
 
3.7%
등 55
 
3.6%
정 54
 
3.6%
초 53
 
3.5%
평 42
 
2.8%
동 37
 
2.5%
Other values (195) 918
60.8%
Decimal Number
ValueCountFrequency (%)
1 46
21.6%
2 36
16.9%
3 27
12.7%
4 20
9.4%
7 20
9.4%
5 17
 
8.0%
6 17
 
8.0%
8 12
 
5.6%
9 11
 
5.2%
0 7
 
3.3%
Uppercase Letter
ValueCountFrequency (%)
U 2
33.3%
C 1
16.7%
B 1
16.7%
K 1
16.7%
S 1
16.7%
Space Separator
ValueCountFrequency (%)
305
100.0%
Open Punctuation
ValueCountFrequency (%)
( 8
100.0%
Close Punctuation
ValueCountFrequency (%)
) 8
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 3
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 1509
73.5%
Common 538
 
26.2%
Latin 6
 
0.3%

Most frequent character per script

Hangul
ValueCountFrequency (%)
로 98
 
6.5%
부 73
 
4.8%
교 62
 
4.1%
문 61
 
4.0%
학 56
 
3.7%
등 55
 
3.6%
정 54
 
3.6%
초 53
 
3.5%
평 42
 
2.8%
동 37
 
2.5%
Other values (195) 918
60.8%
Common
ValueCountFrequency (%)
305
56.7%
1 46
 
8.6%
2 36
 
6.7%
3 27
 
5.0%
4 20
 
3.7%
7 20
 
3.7%
5 17
 
3.2%
6 17
 
3.2%
8 12
 
2.2%
9 11
 
2.0%
Other values (5) 27
 
5.0%
Latin
ValueCountFrequency (%)
U 2
33.3%
C 1
16.7%
B 1
16.7%
K 1
16.7%
S 1
16.7%

Most occurring blocks

ValueCountFrequency (%)
Hangul 1509
73.5%
ASCII 544
 
26.5%

Most frequent character per block

ASCII
ValueCountFrequency (%)
305
56.1%
1 46
 
8.5%
2 36
 
6.6%
3 27
 
5.0%
4 20
 
3.7%
7 20
 
3.7%
5 17
 
3.1%
6 17
 
3.1%
8 12
 
2.2%
9 11
 
2.0%
Other values (10) 33
 
6.1%
Hangul
ValueCountFrequency (%)
로 98
 
6.5%
부 73
 
4.8%
교 62
 
4.1%
문 61
 
4.0%
학 56
 
3.7%
등 55
 
3.6%
정 54
 
3.6%
초 53
 
3.5%
평 42
 
2.8%
동 37
 
2.5%
Other values (195) 918
60.8%

단속시간
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
평일 09~18시
85 
평일 08~18시
55 

Length

Max length9
Median length9
Mean length9
Min length9

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row평일 09~18시
2nd row평일 09~18시
3rd row평일 09~18시
4th row평일 09~18시
5th row평일 09~18시

Common Values

ValueCountFrequency (%)
평일 09~18시 85
60.7%
평일 08~18시 55
39.3%

Length

2023-12-13T05:14:34.967595image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:14:35.091750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
평일 140
50.0%
09~18시 85
30.4%
08~18시 55
 
19.6%

유예시간
Categorical

HIGH CORRELATION 

Distinct2
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
12~14시
85 
없음
55 

Length

Max length6
Median length6
Mean length4.4285714
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row12~14시
2nd row12~14시
3rd row12~14시
4th row12~14시
5th row12~14시

Common Values

ValueCountFrequency (%)
12~14시 85
60.7%
없음 55
39.3%

Length

2023-12-13T05:14:35.227758image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:14:35.340274image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
12~14시 85
60.7%
없음 55
39.3%

비고
Categorical

CONSTANT 

Distinct1
Distinct (%)0.7%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
360도전방면
140 

Length

Max length7
Median length7
Mean length7
Min length7

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row360도전방면
2nd row360도전방면
3rd row360도전방면
4th row360도전방면
5th row360도전방면

Common Values

ValueCountFrequency (%)
360도전방면 140
100.0%

Length

2023-12-13T05:14:35.433573image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-13T05:14:35.522033image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
360도전방면 140
100.0%

Interactions

2023-12-13T05:14:33.462588image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-13T05:14:35.579823image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번단속시간유예시간
연번1.0000.8670.867
단속시간0.8671.0001.000
유예시간0.8671.0001.000
2023-12-13T05:14:35.683276image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단속시간유예시간
단속시간1.0000.985
유예시간0.9851.000
2023-12-13T05:14:35.766182image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번단속시간유예시간
연번1.0000.6790.679
단속시간0.6791.0000.985
유예시간0.6790.9851.000

Missing values

2023-12-13T05:14:33.643752image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-13T05:14:33.789392image/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

연번설치위치단속시간유예시간비고
01부평대로 17 부평문고 앞평일 09~18시12~14시360도전방면
12부평문화로 61 문화의거리 입구평일 09~18시12~14시360도전방면
23대정로 38-1 대정로 가구의 거리평일 09~18시12~14시360도전방면
34시장로 7 시장로 지하상가 21B입구평일 09~18시12~14시360도전방면
45시장로 24 까페베네 가요톱텐 쪽평일 09~18시12~14시360도전방면
56시장로 시장로터리 중앙 시장로 시장로터리 중앙평일 09~18시12~14시360도전방면
67부평북로 399 삼산한의원 앞 사거리평일 09~18시12~14시360도전방면
78마장로 316 새봄여성병원 맞은편평일 09~18시12~14시360도전방면
89장제로 159번길 4 인천나누리병원 맞은편평일 09~18시12~14시360도전방면
910장제로 114-1 인천노인전문병원 맞은편평일 09~18시12~14시360도전방면
연번설치위치단속시간유예시간비고
130131마장로 부마초등학교 후문평일 08~18시없음360도전방면
131132동수북로 부평남초등학교 후문평일 08~18시없음360도전방면
132133영성중로 한길초등학교 후문평일 08~18시없음360도전방면
133134부흥로 부흥아파트 앞평일 09~18시12~14시360도전방면
134135수변로 부개역코오롱하늘채 앞평일 09~18시12~14시360도전방면
135136마장로 부평아이파크 건너편평일 09~18시12~14시360도전방면
136137평천로 부평새마을금고 본점 앞평일 09~18시12~14시360도전방면
137138부흥로 방촌공원 앞평일 09~18시12~14시360도전방면
138139마곡로 두산위브더파크 1단지 정문 앞평일 09~18시12~14시360도전방면
139140세월천로 두산위브더파크 2단지 정문 앞평일 09~18시12~14시360도전방면