Overview

Dataset statistics

Number of variables7
Number of observations138
Missing cells9
Missing cells (%)0.9%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory8.1 KiB
Average record size in memory60.0 B

Variable types

Numeric3
DateTime2
Text2

Dataset

Description부천시 관내 불법주정차 과태료 차량 영치 내역현황 정보로 2021년 8월 부터 2022년 8월까지에 대한 영치날짜, 차량번호, 체납건수, 체납금액, 영치장소, 반환일자 등의 자료를 제공합니다.
Author경기도 부천시
URLhttps://www.data.go.kr/data/15064251/fileData.do

Alerts

체납건수 is highly overall correlated with 체납금액(원)High correlation
체납금액(원) is highly overall correlated with 체납건수High correlation
반환일자 has 9 (6.5%) missing valuesMissing
연번 has unique valuesUnique

Reproduction

Analysis started2023-12-12 03:11:55.850196
Analysis finished2023-12-12 03:11:57.928590
Duration2.08 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연번
Real number (ℝ)

UNIQUE 

Distinct138
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean69.5
Minimum1
Maximum138
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T12:11:58.036876image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile7.85
Q135.25
median69.5
Q3103.75
95-th percentile131.15
Maximum138
Range137
Interquartile range (IQR)68.5

Descriptive statistics

Standard deviation39.981246
Coefficient of variation (CV)0.57526972
Kurtosis-1.2
Mean69.5
Median Absolute Deviation (MAD)34.5
Skewness0
Sum9591
Variance1598.5
MonotonicityStrictly increasing
2023-12-12T12:11:58.246381image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.7%
96 1
 
0.7%
90 1
 
0.7%
91 1
 
0.7%
92 1
 
0.7%
93 1
 
0.7%
94 1
 
0.7%
95 1
 
0.7%
97 1
 
0.7%
105 1
 
0.7%
Other values (128) 128
92.8%
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 (%)
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%
130 1
0.7%
129 1
0.7%

영치일자
Date

Distinct89
Distinct (%)64.5%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
Minimum2021-08-09 00:00:00
Maximum2022-08-23 00:00:00
2023-12-12T12:11:58.465930image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:11:58.652977image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

차량번호
Text

Distinct131
Distinct (%)94.9%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T12:11:59.106807image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length9
Median length7
Mean length7.0724638
Min length7

Characters and Unicode

Total characters976
Distinct characters46
Distinct categories3 ?
Distinct scripts2 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique125 ?
Unique (%)90.6%

Sample

1st row83루****
2nd row83무****
3rd row62고****
4th row61조****
5th row36조****
ValueCountFrequency (%)
07누 3
 
2.2%
18어 2
 
1.4%
33소 2
 
1.4%
78라 2
 
1.4%
91라 2
 
1.4%
84고 2
 
1.4%
30루 1
 
0.7%
27러 1
 
0.7%
03어 1
 
0.7%
73보 1
 
0.7%
Other values (121) 121
87.7%
2023-12-12T12:11:59.744828image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
* 552
56.6%
3 42
 
4.3%
8 37
 
3.8%
5 33
 
3.4%
6 28
 
2.9%
1 28
 
2.9%
0 26
 
2.7%
2 23
 
2.4%
7 23
 
2.4%
4 22
 
2.3%
Other values (36) 162
 
16.6%

Most occurring categories

ValueCountFrequency (%)
Other Punctuation 552
56.6%
Decimal Number 278
28.5%
Other Letter 146
 
15.0%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
라 10
 
6.8%
누 8
 
5.5%
보 8
 
5.5%
소 7
 
4.8%
조 7
 
4.8%
고 7
 
4.8%
서 7
 
4.8%
루 7
 
4.8%
무 7
 
4.8%
어 6
 
4.1%
Other values (25) 72
49.3%
Decimal Number
ValueCountFrequency (%)
3 42
15.1%
8 37
13.3%
5 33
11.9%
6 28
10.1%
1 28
10.1%
0 26
9.4%
2 23
8.3%
7 23
8.3%
4 22
7.9%
9 16
 
5.8%
Other Punctuation
ValueCountFrequency (%)
* 552
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 830
85.0%
Hangul 146
 
15.0%

Most frequent character per script

Hangul
ValueCountFrequency (%)
라 10
 
6.8%
누 8
 
5.5%
보 8
 
5.5%
소 7
 
4.8%
조 7
 
4.8%
고 7
 
4.8%
서 7
 
4.8%
루 7
 
4.8%
무 7
 
4.8%
어 6
 
4.1%
Other values (25) 72
49.3%
Common
ValueCountFrequency (%)
* 552
66.5%
3 42
 
5.1%
8 37
 
4.5%
5 33
 
4.0%
6 28
 
3.4%
1 28
 
3.4%
0 26
 
3.1%
2 23
 
2.8%
7 23
 
2.8%
4 22
 
2.7%

Most occurring blocks

ValueCountFrequency (%)
ASCII 830
85.0%
Hangul 146
 
15.0%

Most frequent character per block

ASCII
ValueCountFrequency (%)
* 552
66.5%
3 42
 
5.1%
8 37
 
4.5%
5 33
 
4.0%
6 28
 
3.4%
1 28
 
3.4%
0 26
 
3.1%
2 23
 
2.8%
7 23
 
2.8%
4 22
 
2.7%
Hangul
ValueCountFrequency (%)
라 10
 
6.8%
누 8
 
5.5%
보 8
 
5.5%
소 7
 
4.8%
조 7
 
4.8%
고 7
 
4.8%
서 7
 
4.8%
루 7
 
4.8%
무 7
 
4.8%
어 6
 
4.1%
Other values (25) 72
49.3%

체납건수
Real number (ℝ)

HIGH CORRELATION 

Distinct36
Distinct (%)26.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean13.623188
Minimum3
Maximum72
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T12:11:59.913396image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum3
5-th percentile5
Q17
median9
Q315.75
95-th percentile35.45
Maximum72
Range69
Interquartile range (IQR)8.75

Descriptive statistics

Standard deviation11.549451
Coefficient of variation (CV)0.84777887
Kurtosis7.6033233
Mean13.623188
Median Absolute Deviation (MAD)3
Skewness2.5153081
Sum1880
Variance133.38982
MonotonicityNot monotonic
2023-12-12T12:12:00.101366image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=36)
ValueCountFrequency (%)
7 17
12.3%
6 17
12.3%
9 13
 
9.4%
5 11
 
8.0%
11 10
 
7.2%
8 8
 
5.8%
12 8
 
5.8%
14 5
 
3.6%
16 4
 
2.9%
15 4
 
2.9%
Other values (26) 41
29.7%
ValueCountFrequency (%)
3 2
 
1.4%
4 3
 
2.2%
5 11
8.0%
6 17
12.3%
7 17
12.3%
8 8
5.8%
9 13
9.4%
10 2
 
1.4%
11 10
7.2%
12 8
5.8%
ValueCountFrequency (%)
72 1
0.7%
61 1
0.7%
59 1
0.7%
46 1
0.7%
44 1
0.7%
40 1
0.7%
38 1
0.7%
35 1
0.7%
34 1
0.7%
33 1
0.7%

체납금액(원)
Real number (ℝ)

HIGH CORRELATION 

Distinct137
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean768725.72
Minimum301840
Maximum4288000
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size1.3 KiB
2023-12-12T12:12:00.278066image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum301840
5-th percentile318140
Q1382000
median569525
Q3868715
95-th percentile2038743
Maximum4288000
Range3986160
Interquartile range (IQR)486715

Descriptive statistics

Standard deviation646663.34
Coefficient of variation (CV)0.84121465
Kurtosis11.64789
Mean768725.72
Median Absolute Deviation (MAD)208480
Skewness3.0294369
Sum1.0608415 × 108
Variance4.1817347 × 1011
MonotonicityNot monotonic
2023-12-12T12:12:00.480611image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
354000 2
 
1.4%
371920 1
 
0.7%
667360 1
 
0.7%
571610 1
 
0.7%
1071360 1
 
0.7%
401120 1
 
0.7%
1337360 1
 
0.7%
592240 1
 
0.7%
1265120 1
 
0.7%
673360 1
 
0.7%
Other values (127) 127
92.0%
ValueCountFrequency (%)
301840 1
0.7%
302140 1
0.7%
304320 1
0.7%
306800 1
0.7%
312400 1
0.7%
315280 1
0.7%
315760 1
0.7%
318560 1
0.7%
321900 1
0.7%
323200 1
0.7%
ValueCountFrequency (%)
4288000 1
0.7%
4167920 1
0.7%
2674740 1
0.7%
2565100 1
0.7%
2405360 1
0.7%
2392960 1
0.7%
2199580 1
0.7%
2010360 1
0.7%
1794960 1
0.7%
1774520 1
0.7%

영치장소
Text

Distinct137
Distinct (%)99.3%
Missing0
Missing (%)0.0%
Memory size1.2 KiB
2023-12-12T12:12:00.886725image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length22
Median length16
Mean length11.608696
Min length2

Characters and Unicode

Total characters1602
Distinct characters118
Distinct categories5 ?
Distinct scripts2 ?
Distinct blocks3 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique136 ?
Unique (%)98.6%

Sample

1st row부천시청 주차지도과
2nd row부천시 심곡로46번길
3rd row부천시 원미구 중동로
4th row부천시 중동 1143-8
5th row부천시 중동 1160-3
ValueCountFrequency (%)
부천시 68
 
20.2%
중동 6
 
1.8%
원종동 6
 
1.8%
도당동 6
 
1.8%
심곡동 5
 
1.5%
고강동 5
 
1.5%
원미동 5
 
1.5%
원미1동 4
 
1.2%
19 3
 
0.9%
인근 3
 
0.9%
Other values (195) 225
67.0%
2023-12-12T12:12:01.566860image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
262
 
16.4%
1 114
 
7.1%
동 88
 
5.5%
부 77
 
4.8%
- 76
 
4.7%
천 75
 
4.7%
시 70
 
4.4%
2 68
 
4.2%
3 57
 
3.6%
4 55
 
3.4%
Other values (108) 660
41.2%

Most occurring categories

ValueCountFrequency (%)
Other Letter 765
47.8%
Decimal Number 498
31.1%
Space Separator 262
 
16.4%
Dash Punctuation 76
 
4.7%
Other Punctuation 1
 
0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
동 88
 
11.5%
부 77
 
10.1%
천 75
 
9.8%
시 70
 
9.2%
로 39
 
5.1%
길 26
 
3.4%
원 26
 
3.4%
번 25
 
3.3%
곡 21
 
2.7%
심 17
 
2.2%
Other values (95) 301
39.3%
Decimal Number
ValueCountFrequency (%)
1 114
22.9%
2 68
13.7%
3 57
11.4%
4 55
11.0%
0 36
 
7.2%
6 36
 
7.2%
8 34
 
6.8%
5 33
 
6.6%
9 33
 
6.6%
7 32
 
6.4%
Space Separator
ValueCountFrequency (%)
262
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 76
100.0%
Other Punctuation
ValueCountFrequency (%)
. 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Common 837
52.2%
Hangul 765
47.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
동 88
 
11.5%
부 77
 
10.1%
천 75
 
9.8%
시 70
 
9.2%
로 39
 
5.1%
길 26
 
3.4%
원 26
 
3.4%
번 25
 
3.3%
곡 21
 
2.7%
심 17
 
2.2%
Other values (95) 301
39.3%
Common
ValueCountFrequency (%)
262
31.3%
1 114
13.6%
- 76
 
9.1%
2 68
 
8.1%
3 57
 
6.8%
4 55
 
6.6%
0 36
 
4.3%
6 36
 
4.3%
8 34
 
4.1%
5 33
 
3.9%
Other values (3) 66
 
7.9%

Most occurring blocks

ValueCountFrequency (%)
ASCII 837
52.2%
Hangul 763
47.6%
Compat Jamo 2
 
0.1%

Most frequent character per block

ASCII
ValueCountFrequency (%)
262
31.3%
1 114
13.6%
- 76
 
9.1%
2 68
 
8.1%
3 57
 
6.8%
4 55
 
6.6%
0 36
 
4.3%
6 36
 
4.3%
8 34
 
4.1%
5 33
 
3.9%
Other values (3) 66
 
7.9%
Hangul
ValueCountFrequency (%)
동 88
 
11.5%
부 77
 
10.1%
천 75
 
9.8%
시 70
 
9.2%
로 39
 
5.1%
길 26
 
3.4%
원 26
 
3.4%
번 25
 
3.3%
곡 21
 
2.8%
심 17
 
2.2%
Other values (93) 299
39.2%
Compat Jamo
ValueCountFrequency (%)
ㅡ 1
50.0%
ㅣ 1
50.0%

반환일자
Date

MISSING 

Distinct94
Distinct (%)72.9%
Missing9
Missing (%)6.5%
Memory size1.2 KiB
Minimum2021-08-11 00:00:00
Maximum2022-08-24 00:00:00
2023-12-12T12:12:01.769667image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:12:01.978954image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

Interactions

2023-12-12T12:11:57.344185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:11:56.694291image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:11:57.024089image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:11:57.457506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:11:56.795393image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:11:57.128433image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:11:57.567227image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:11:56.910062image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T12:11:57.237319image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T12:12:02.092247image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번영치일자체납건수체납금액(원)반환일자
연번1.0000.9870.1540.0000.993
영치일자0.9871.0000.0000.4130.996
체납건수0.1540.0001.0000.8570.000
체납금액(원)0.0000.4130.8571.0000.455
반환일자0.9930.9960.0000.4551.000
2023-12-12T12:12:02.555629image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연번체납건수체납금액(원)
연번1.000-0.0150.091
체납건수-0.0151.0000.909
체납금액(원)0.0910.9091.000

Missing values

2023-12-12T12:11:57.696769image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T12:11:57.857316image/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

연번영치일자차량번호체납건수체납금액(원)영치장소반환일자
012021-08-0983루****7371920부천시청 주차지도과2021-08-24
122021-08-1083무****7495600부천시 심곡로46번길2021-08-11
232021-08-1262고****462392960부천시 원미구 중동로2021-08-18
342021-08-1261조****17837620부천시 중동 1143-82021-08-13
452021-08-1736조****9448080부천시 중동 1160-32021-08-18
562021-08-1764구****7405360부천시 송내1동 송내사거리.송일초등학교2021-08-18
672021-08-1815조****6344080부천시 카톨릭대학교2021-08-19
782021-08-2428무****22903960부천시 심곡3동 322-152021-08-24
892021-08-2433더****9408180부천시 심곡3동 329-152021-08-24
9102021-08-3054어****251164460조마루로427번길 482021-08-31
연번영치일자차량번호체납건수체납금액(원)영치장소반환일자
1281292022-07-1108노****9745040부천시 원종동 217-122022-07-14
1291302022-07-1142마****14856580부천시 고강동 246-32022-07-12
1301312022-07-1154수****5306800부천시 고강로 146번길4호2022-07-12
1311322022-07-1191라****7391120부천시 원종동 199-492022-07-11
1321332022-07-1222조****291774520부천시 중동 1138-42022-07-12
1331342022-07-1437조****7423040부천시 심곡본1동 813-82022-07-15
1341352022-07-2571보****272199580부천시 중동 7372022-07-26
1351362022-08-1684고****13630040부천시 신흥로22번길 192022-08-16
1361372022-08-1684보****7358480부천시 부천로57번길 122022-08-16
1371382022-08-2307누****16678320부천시 부천대부근2022-08-24