Overview

Dataset statistics

Number of variables4
Number of observations48
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory1.7 KiB
Average record size in memory36.8 B

Variable types

Categorical1
DateTime1
Numeric2

Dataset

Description화성시 주정차 단속현황에 대한 데이터로 단속기관, 과태료 부과연월, 과태료 부과건수, 부과금액에 대한 데이터를 포함하고 있습니다.
URLhttps://www.data.go.kr/data/15052916/fileData.do

Alerts

단속기관 has constant value ""Constant
과태료 부과건수 is highly overall correlated with 부과금액(천원)High correlation
부과금액(천원) is highly overall correlated with 과태료 부과건수High correlation
과태료 부과연월 has unique valuesUnique
과태료 부과건수 has unique valuesUnique
부과금액(천원) has unique valuesUnique

Reproduction

Analysis started2023-12-12 08:52:55.112617
Analysis finished2023-12-12 08:52:55.852072
Duration0.74 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

단속기관
Categorical

CONSTANT 

Distinct1
Distinct (%)2.1%
Missing0
Missing (%)0.0%
Memory size516.0 B
화성시
48 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
화성시 48
100.0%

Length

2023-12-12T17:52:55.928466image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T17:52:56.009959image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
화성시 48
100.0%
Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size516.0 B
Minimum2019-01-01 00:00:00
Maximum2022-12-01 00:00:00
2023-12-12T17:52:56.110077image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:52:56.263836image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)

과태료 부과건수
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean19178.167
Minimum12608
Maximum30153
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-12T17:52:56.411652image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum12608
5-th percentile13192.5
Q116845.25
median19092.5
Q321709.25
95-th percentile24874.75
Maximum30153
Range17545
Interquartile range (IQR)4864

Descriptive statistics

Standard deviation3754.2541
Coefficient of variation (CV)0.19575667
Kurtosis0.27290627
Mean19178.167
Median Absolute Deviation (MAD)2497
Skewness0.31605962
Sum920552
Variance14094424
MonotonicityNot monotonic
2023-12-12T17:52:56.571837image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
18236 1
 
2.1%
14953 1
 
2.1%
18176 1
 
2.1%
19386 1
 
2.1%
23070 1
 
2.1%
16885 1
 
2.1%
22176 1
 
2.1%
14370 1
 
2.1%
21755 1
 
2.1%
19908 1
 
2.1%
Other values (38) 38
79.2%
ValueCountFrequency (%)
12608 1
2.1%
13024 1
2.1%
13168 1
2.1%
13238 1
2.1%
13791 1
2.1%
14370 1
2.1%
14473 1
2.1%
14953 1
2.1%
15006 1
2.1%
15419 1
2.1%
ValueCountFrequency (%)
30153 1
2.1%
25575 1
2.1%
25160 1
2.1%
24345 1
2.1%
24096 1
2.1%
23079 1
2.1%
23070 1
2.1%
22830 1
2.1%
22176 1
2.1%
22132 1
2.1%

부과금액(천원)
Real number (ℝ)

HIGH CORRELATION  UNIQUE 

Distinct48
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean726573.19
Minimum444036
Maximum1183432
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size564.0 B
2023-12-12T17:52:56.774446image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum444036
5-th percentile490695
Q1636726.5
median746888
Q3808029.75
95-th percentile918376.75
Maximum1183432
Range739396
Interquartile range (IQR)171303.25

Descriptive statistics

Standard deviation148580.97
Coefficient of variation (CV)0.20449553
Kurtosis0.59286532
Mean726573.19
Median Absolute Deviation (MAD)103069
Skewness0.26530134
Sum34875513
Variance2.2076305 × 1010
MonotonicityNot monotonic
2023-12-12T17:52:57.058826image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=48)
ValueCountFrequency (%)
639044 1
 
2.1%
568746 1
 
2.1%
652610 1
 
2.1%
733448 1
 
2.1%
896521 1
 
2.1%
641882 1
 
2.1%
877923 1
 
2.1%
541360 1
 
2.1%
868252 1
 
2.1%
766506 1
 
2.1%
Other values (38) 38
79.2%
ValueCountFrequency (%)
444036 1
2.1%
484032 1
2.1%
484892 1
2.1%
501472 1
2.1%
513832 1
2.1%
523781 1
2.1%
534794 1
2.1%
541360 1
2.1%
558276 1
2.1%
568746 1
2.1%
ValueCountFrequency (%)
1183432 1
2.1%
947425 1
2.1%
923177 1
2.1%
909462 1
2.1%
907905 1
2.1%
896521 1
2.1%
879573 1
2.1%
877923 1
2.1%
868252 1
2.1%
848020 1
2.1%

Interactions

2023-12-12T17:52:55.438266image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:52:55.219140image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:52:55.550122image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T17:52:55.325351image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T17:52:57.180892image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과태료 부과연월과태료 부과건수부과금액(천원)
과태료 부과연월1.0001.0001.000
과태료 부과건수1.0001.0000.889
부과금액(천원)1.0000.8891.000
2023-12-12T17:52:57.288688image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
과태료 부과건수부과금액(천원)
과태료 부과건수1.0000.982
부과금액(천원)0.9821.000

Missing values

2023-12-12T17:52:55.716017image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T17:52:55.813682image/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

단속기관과태료 부과연월과태료 부과건수부과금액(천원)
0화성시2019-0118236639044
1화성시2019-02301531183432
2화성시2019-0322132819213
3화성시2019-0421485780248
4화성시2019-0524345909462
5화성시2019-0623079848020
6화성시2019-0725160923177
7화성시2019-0822830845561
8화성시2019-0921034784713
9화성시2019-1021694804302
단속기관과태료 부과연월과태료 부과건수부과금액(천원)
38화성시2022-0318732753514
39화성시2022-0415665613440
40화성시2022-0519561762433
41화성시2022-0616726637484
42화성시2022-0718514714299
43화성시2022-0818799748133
44화성시2022-0921993879573
45화성시2022-1017951705277
46화성시2022-1119750764566
47화성시2022-1218354745643