Overview

Dataset statistics

Number of variables6
Number of observations77
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory4.0 KiB
Average record size in memory53.7 B

Variable types

Numeric4
Categorical1
DateTime1

Dataset

Description서울특별시 구로구의 주정차 단속현황을 단속연도, 단속동, 단속건수, 단속원금, 견인건수로 나누어서 제공합니다.
Author서울특별시 구로구
URLhttps://www.data.go.kr/data/15034492/fileData.do

Alerts

데이터기준일 has constant value ""Constant
단속건수 is highly overall correlated with 단속금액 and 1 other fieldsHigh correlation
단속금액 is highly overall correlated with 단속건수 and 1 other fieldsHigh correlation
단속동 is highly overall correlated with 단속건수 and 1 other fieldsHigh correlation
단속건수 has unique valuesUnique
단속금액 has unique valuesUnique
견인건수 has 25 (32.5%) zerosZeros

Reproduction

Analysis started2024-03-23 06:48:38.623320
Analysis finished2024-03-23 06:48:45.659212
Duration7.04 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

단속연도
Real number (ℝ)

Distinct7
Distinct (%)9.1%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean2019.4545
Minimum2017
Maximum2023
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size825.0 B
2024-03-23T06:48:45.800523image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum2017
5-th percentile2017
Q12018
median2019
Q32021
95-th percentile2023
Maximum2023
Range6
Interquartile range (IQR)3

Descriptive statistics

Standard deviation1.983786
Coefficient of variation (CV)0.00098233751
Kurtosis-1.0456807
Mean2019.4545
Median Absolute Deviation (MAD)2
Skewness0.43244199
Sum155498
Variance3.9354067
MonotonicityIncreasing
2024-03-23T06:48:46.366265image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=7)
ValueCountFrequency (%)
2017 15
19.5%
2018 15
19.5%
2019 15
19.5%
2020 8
10.4%
2021 8
10.4%
2022 8
10.4%
2023 8
10.4%
ValueCountFrequency (%)
2017 15
19.5%
2018 15
19.5%
2019 15
19.5%
2020 8
10.4%
2021 8
10.4%
2022 8
10.4%
2023 8
10.4%
ValueCountFrequency (%)
2023 8
10.4%
2022 8
10.4%
2021 8
10.4%
2020 8
10.4%
2019 15
19.5%
2018 15
19.5%
2017 15
19.5%

단속동
Categorical

HIGH CORRELATION 

Distinct20
Distinct (%)26.0%
Missing0
Missing (%)0.0%
Memory size748.0 B
신도림동
7 
가리봉동
7 
수궁동
7 
오류동
 
4
구로동
 
4
Other values (15)
48 

Length

Max length4
Median length4
Mean length3.5974026
Min length2

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row신도림동
2nd row구로1동
3rd row구로2동
4th row구로3동
5th row구로4동

Common Values

ValueCountFrequency (%)
신도림동 7
 
9.1%
가리봉동 7
 
9.1%
수궁동 7
 
9.1%
오류동 4
 
5.2%
구로동 4
 
5.2%
고척동 4
 
5.2%
개봉동 4
 
5.2%
항동 4
 
5.2%
고척1동 3
 
3.9%
구로2동 3
 
3.9%
Other values (10) 30
39.0%

Length

2024-03-23T06:48:46.844137image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category
ValueCountFrequency (%)
신도림동 7
 
9.1%
수궁동 7
 
9.1%
가리봉동 7
 
9.1%
오류동 4
 
5.2%
구로동 4
 
5.2%
고척동 4
 
5.2%
개봉동 4
 
5.2%
항동 4
 
5.2%
오류2동 3
 
3.9%
고척2동 3
 
3.9%
Other values (10) 30
39.0%

단속건수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct77
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean7447.2857
Minimum1175
Maximum39520
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size825.0 B
2024-03-23T06:48:47.240260image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1175
5-th percentile1499.4
Q13180
median5247
Q38743
95-th percentile18756
Maximum39520
Range38345
Interquartile range (IQR)5563

Descriptive statistics

Standard deviation7840.3634
Coefficient of variation (CV)1.0527813
Kurtosis9.6331644
Mean7447.2857
Median Absolute Deviation (MAD)2459
Skewness3.031714
Sum573441
Variance61471299
MonotonicityNot monotonic
2024-03-23T06:48:47.884623image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
8241 1
 
1.3%
4636 1
 
1.3%
6798 1
 
1.3%
2788 1
 
1.3%
36352 1
 
1.3%
3262 1
 
1.3%
1637 1
 
1.3%
1221 1
 
1.3%
2883 1
 
1.3%
39520 1
 
1.3%
Other values (67) 67
87.0%
ValueCountFrequency (%)
1175 1
1.3%
1217 1
1.3%
1221 1
1.3%
1249 1
1.3%
1562 1
1.3%
1637 1
1.3%
1733 1
1.3%
1931 1
1.3%
2095 1
1.3%
2458 1
1.3%
ValueCountFrequency (%)
39520 1
1.3%
37373 1
1.3%
37367 1
1.3%
36352 1
1.3%
14357 1
1.3%
13471 1
1.3%
13057 1
1.3%
12625 1
1.3%
12084 1
1.3%
11742 1
1.3%

단속금액
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct77
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3.3535461 × 108
Minimum51950000
Maximum1.859 × 109
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size825.0 B
2024-03-23T06:48:48.447254image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum51950000
5-th percentile86592000
Q11.3641 × 108
median2.3953 × 108
Q33.91075 × 108
95-th percentile8.15695 × 108
Maximum1.859 × 109
Range1.80705 × 109
Interquartile range (IQR)2.54665 × 108

Descriptive statistics

Standard deviation3.6655441 × 108
Coefficient of variation (CV)1.0930353
Kurtosis10.792675
Mean3.3535461 × 108
Median Absolute Deviation (MAD)1.1193 × 108
Skewness3.2485987
Sum2.5822305 × 1010
Variance1.3436214 × 1017
MonotonicityNot monotonic
2024-03-23T06:48:48.989100image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
335390000 1
 
1.3%
205120000 1
 
1.3%
327685000 1
 
1.3%
127730000 1
 
1.3%
1702715000 1
 
1.3%
160370000 1
 
1.3%
71770000 1
 
1.3%
92920000 1
 
1.3%
312690000 1
 
1.3%
1733165000 1
 
1.3%
Other values (67) 67
87.0%
ValueCountFrequency (%)
51950000 1
1.3%
71770000 1
1.3%
82340000 1
1.3%
82600000 1
1.3%
87590000 1
1.3%
92920000 1
1.3%
103235000 1
1.3%
106620000 1
1.3%
114340000 1
1.3%
115470000 1
1.3%
ValueCountFrequency (%)
1859000000 1
1.3%
1819910000 1
1.3%
1733165000 1
1.3%
1702715000 1
1.3%
593940000 1
1.3%
568854000 1
1.3%
559040000 1
1.3%
532620000 1
1.3%
513810000 1
1.3%
471110000 1
1.3%

견인건수
Real number (ℝ)

ZEROS 

Distinct52
Distinct (%)67.5%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean570.67532
Minimum0
Maximum5770
Zeros25
Zeros (%)32.5%
Negative0
Negative (%)0.0%
Memory size825.0 B
2024-03-23T06:48:49.440527image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile0
Q10
median209
Q3622
95-th percentile3200
Maximum5770
Range5770
Interquartile range (IQR)622

Descriptive statistics

Standard deviation1039.8933
Coefficient of variation (CV)1.8222153
Kurtosis10.165328
Mean570.67532
Median Absolute Deviation (MAD)209
Skewness3.045695
Sum43942
Variance1081378.1
MonotonicityNot monotonic
2024-03-23T06:48:50.116477image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 25
32.5%
192 2
 
2.6%
222 1
 
1.3%
917 1
 
1.3%
315 1
 
1.3%
79 1
 
1.3%
2015 1
 
1.3%
250 1
 
1.3%
203 1
 
1.3%
423 1
 
1.3%
Other values (42) 42
54.5%
ValueCountFrequency (%)
0 25
32.5%
1 1
 
1.3%
29 1
 
1.3%
41 1
 
1.3%
46 1
 
1.3%
65 1
 
1.3%
79 1
 
1.3%
93 1
 
1.3%
120 1
 
1.3%
122 1
 
1.3%
ValueCountFrequency (%)
5770 1
1.3%
3834 1
1.3%
3818 1
1.3%
3592 1
1.3%
3102 1
1.3%
2015 1
1.3%
1851 1
1.3%
1416 1
1.3%
1191 1
1.3%
1126 1
1.3%

데이터기준일
Date

CONSTANT 

Distinct1
Distinct (%)1.3%
Missing0
Missing (%)0.0%
Memory size748.0 B
Minimum2024-01-27 00:00:00
Maximum2024-01-27 00:00:00
2024-03-23T06:48:50.550994image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T06:48:51.026001image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-23T06:48:43.478749image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T06:48:39.041645image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T06:48:40.488422image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T06:48:42.190590image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T06:48:43.853119image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T06:48:39.503853image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T06:48:40.920417image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T06:48:42.520268image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T06:48:44.209473image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T06:48:39.779226image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T06:48:41.551322image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T06:48:42.843991image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T06:48:44.616767image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T06:48:40.123834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T06:48:41.913471image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-23T06:48:43.159975image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-23T06:48:51.424506image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단속연도단속동단속건수단속금액견인건수
단속연도1.0000.0000.0000.0000.000
단속동0.0001.0000.9910.9930.681
단속건수0.0000.9911.0000.8570.482
단속금액0.0000.9930.8571.0000.475
견인건수0.0000.6810.4820.4751.000
2024-03-23T06:48:51.878301image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
단속연도단속건수단속금액견인건수단속동
단속연도1.000-0.164-0.0560.1910.000
단속건수-0.1641.0000.9690.0900.773
단속금액-0.0560.9691.0000.0900.788
견인건수0.1910.0900.0901.0000.335
단속동0.0000.7730.7880.3351.000

Missing values

2024-03-23T06:48:45.149502image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-23T06:48:45.503998image/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

단속연도단속동단속건수단속금액견인건수데이터기준일
02017신도림동82413353900002222024-01-27
12017구로1동901136860000031022024-01-27
22017구로2동1053342259000002024-01-27
32017구로3동1347155904000002024-01-27
42017구로4동1174247111000002024-01-27
52017구로5동1262551381000002024-01-27
62017가리봉동42421701900004332024-01-27
72017고척1동59492461300004832024-01-27
82017고척2동618124799000002024-01-27
92017개봉1동52202185000006512024-01-27
단속연도단속동단속건수단속금액견인건수데이터기준일
672022수궁동1562826000002462024-01-27
682022항동1249116410000412024-01-27
692023신도림동2469127430000292024-01-27
702023구로동3737318199100008222024-01-27
712023가리봉동43922127200001202024-01-27
722023고척동10696532620000932024-01-27
732023개봉동93714097750002092024-01-27
742023오류동6401401200000652024-01-27
752023수궁동2095106620000462024-01-27
762023항동121710323500002024-01-27