Overview

Dataset statistics

Number of variables4
Number of observations164
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.6 KiB
Average record size in memory34.8 B

Variable types

DateTime1
Categorical1
Numeric2

Dataset

Description경기도 연천군 주정차 위반 단속실적 집계 현황 자료입니다. 2010년 01월 부터 2022년 9월까지의 부과 건수, 징수 건수의 자료가 입력되어 있습니다.
Author경기도 연천군
URLhttps://www.data.go.kr/data/15090142/fileData.do

Alerts

시군명 has constant value ""Constant
부과건수 is highly overall correlated with 징수건수High correlation
징수건수 is highly overall correlated with 부과건수High correlation
집계년월 has unique valuesUnique
부과건수 has 4 (2.4%) zerosZeros
징수건수 has 4 (2.4%) zerosZeros

Reproduction

Analysis started2023-12-12 12:17:18.716435
Analysis finished2023-12-12 12:17:19.394585
Duration0.68 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

집계년월
Date

UNIQUE 

Distinct164
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
Minimum2010-01-01 00:00:00
Maximum2023-08-01 00:00:00
2023-12-12T21:17:19.489349image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:17:19.657229image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)

시군명
Categorical

CONSTANT 

Distinct1
Distinct (%)0.6%
Missing0
Missing (%)0.0%
Memory size1.4 KiB
연천군
164 

Length

Max length3
Median length3
Mean length3
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

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

Common Values

ValueCountFrequency (%)
연천군 164
100.0%

Length

2023-12-12T21:17:19.852750image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T21:17:20.008581image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
연천군 164
100.0%

부과건수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct129
Distinct (%)78.7%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean135.41463
Minimum0
Maximum482
Zeros4
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T21:17:20.215909image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.3
Q154.75
median127.5
Q3202.25
95-th percentile295.2
Maximum482
Range482
Interquartile range (IQR)147.5

Descriptive statistics

Standard deviation95.086651
Coefficient of variation (CV)0.70218889
Kurtosis1.172165
Mean135.41463
Median Absolute Deviation (MAD)74
Skewness0.89425306
Sum22208
Variance9041.4712
MonotonicityNot monotonic
2023-12-12T21:17:20.405558image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
2.4%
150 3
 
1.8%
90 3
 
1.8%
16 3
 
1.8%
53 3
 
1.8%
215 3
 
1.8%
55 2
 
1.2%
130 2
 
1.2%
166 2
 
1.2%
93 2
 
1.2%
Other values (119) 137
83.5%
ValueCountFrequency (%)
0 4
2.4%
1 2
1.2%
2 1
 
0.6%
3 1
 
0.6%
10 1
 
0.6%
12 1
 
0.6%
15 1
 
0.6%
16 3
1.8%
19 1
 
0.6%
24 2
1.2%
ValueCountFrequency (%)
482 1
0.6%
472 1
0.6%
439 1
0.6%
356 1
0.6%
338 1
0.6%
321 1
0.6%
317 1
0.6%
301 1
0.6%
297 1
0.6%
285 1
0.6%

징수건수
Real number (ℝ)

HIGH CORRELATION  ZEROS 

Distinct125
Distinct (%)76.2%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean109.7439
Minimum0
Maximum411
Zeros4
Zeros (%)2.4%
Negative0
Negative (%)0.0%
Memory size1.6 KiB
2023-12-12T21:17:20.557990image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum0
5-th percentile10.15
Q150.75
median105
Q3151.25
95-th percentile229.85
Maximum411
Range411
Interquartile range (IQR)100.5

Descriptive statistics

Standard deviation74.467486
Coefficient of variation (CV)0.67855693
Kurtosis1.7751301
Mean109.7439
Median Absolute Deviation (MAD)52
Skewness0.99623743
Sum17998
Variance5545.4064
MonotonicityNot monotonic
2023-12-12T21:17:20.719904image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
0 4
 
2.4%
106 4
 
2.4%
24 3
 
1.8%
119 3
 
1.8%
84 3
 
1.8%
150 3
 
1.8%
47 3
 
1.8%
169 2
 
1.2%
158 2
 
1.2%
144 2
 
1.2%
Other values (115) 135
82.3%
ValueCountFrequency (%)
0 4
2.4%
1 2
1.2%
2 1
 
0.6%
3 1
 
0.6%
10 1
 
0.6%
11 1
 
0.6%
12 1
 
0.6%
15 1
 
0.6%
16 2
1.2%
19 1
 
0.6%
ValueCountFrequency (%)
411 1
0.6%
379 1
0.6%
345 1
0.6%
274 1
0.6%
262 1
0.6%
254 1
0.6%
237 1
0.6%
233 1
0.6%
230 1
0.6%
229 2
1.2%

Interactions

2023-12-12T21:17:19.027482image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:17:18.821556image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:17:19.112586image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T21:17:18.938518image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T21:17:20.845099image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부과건수징수건수
부과건수1.0000.960
징수건수0.9601.000
2023-12-12T21:17:20.936889image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
부과건수징수건수
부과건수1.0000.982
징수건수0.9821.000

Missing values

2023-12-12T21:17:19.246561image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T21:17:19.348152image/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

집계년월시군명부과건수징수건수
02010-01연천군439345
12010-02연천군246233
22010-03연천군482379
32010-04연천군321274
42010-05연천군119109
52010-06연천군12298
62010-07연천군219174
72010-08연천군156138
82010-09연천군162131
92010-10연천군9171
집계년월시군명부과건수징수건수
1542022-11연천군266157
1552022-12연천군242158
1562023-01연천군229159
1572023-02연천군217131
1582023-03연천군166117
1592023-04연천군227155
1602023-05연천군12572
1612023-06연천군147115
1622023-07연천군203125
1632023-08연천군301183