Overview

Dataset statistics

Number of variables4
Number of observations680
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory22.7 KiB
Average record size in memory34.2 B

Variable types

Numeric2
Text1
DateTime1

Dataset

Description경기도 평택시 주정차 문자알림서비스의 차량 정보 등에 대한 데이터 값으로 인덱스, 단속장소, 단속건수 등의 정보를 제공합니다.※문의: 평택시청 종합관제사업소(031-8024-5390)
Author경기도 평택시
URLhttps://www.data.go.kr/data/15087112/fileData.do

Alerts

데이터기준일자 has constant value ""Constant
인덱스(INDEX) has unique valuesUnique
단속장소(GPS1) has unique valuesUnique

Reproduction

Analysis started2024-03-14 11:48:31.130018
Analysis finished2024-03-14 11:48:33.235369
Duration2.11 seconds
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

인덱스(INDEX)
Real number (ℝ)

UNIQUE 

Distinct680
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean340.5
Minimum1
Maximum680
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2024-03-14T20:48:33.446235image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile34.95
Q1170.75
median340.5
Q3510.25
95-th percentile646.05
Maximum680
Range679
Interquartile range (IQR)339.5

Descriptive statistics

Standard deviation196.44338
Coefficient of variation (CV)0.57692621
Kurtosis-1.2
Mean340.5
Median Absolute Deviation (MAD)170
Skewness0
Sum231540
Variance38590
MonotonicityStrictly increasing
2024-03-14T20:48:33.895185image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
1 1
 
0.1%
458 1
 
0.1%
450 1
 
0.1%
451 1
 
0.1%
452 1
 
0.1%
453 1
 
0.1%
454 1
 
0.1%
455 1
 
0.1%
456 1
 
0.1%
457 1
 
0.1%
Other values (670) 670
98.5%
ValueCountFrequency (%)
1 1
0.1%
2 1
0.1%
3 1
0.1%
4 1
0.1%
5 1
0.1%
6 1
0.1%
7 1
0.1%
8 1
0.1%
9 1
0.1%
10 1
0.1%
ValueCountFrequency (%)
680 1
0.1%
679 1
0.1%
678 1
0.1%
677 1
0.1%
676 1
0.1%
675 1
0.1%
674 1
0.1%
673 1
0.1%
672 1
0.1%
671 1
0.1%

단속장소(GPS1)
Text

UNIQUE 

Distinct680
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
2024-03-14T20:48:34.676218image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Length

Max length23
Median length20
Mean length13.410294
Min length7

Characters and Unicode

Total characters9119
Distinct characters377
Distinct categories9 ?
Distinct scripts3 ?
Distinct blocks2 ?
The Unicode Standard assigns character properties to each code point, which can be used to analyse textual variables.

Unique

Unique680 ?
Unique (%)100.0%

Sample

1st row객사리 버스승강장
2nd row고덕동 고덕동양파라곤정문부근
3rd row고덕동 삼성전자평택물류센터부근
4th row고덕동 삼성평택캠퍼스1(한전사거리)
5th row고덕동 신안인스빌사거리부근
ValueCountFrequency (%)
부근 97
 
8.1%
비전동 43
 
3.6%
동삭동 31
 
2.6%
버스승강장 30
 
2.5%
고덕동 29
 
2.4%
용이동 25
 
2.1%
서정동 22
 
1.8%
이충동 16
 
1.3%
팽성읍 15
 
1.2%
포승읍 14
 
1.2%
Other values (717) 879
73.2%
2024-03-14T20:48:35.952606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Most occurring characters

ValueCountFrequency (%)
587
 
6.4%
578
 
6.3%
567
 
6.2%
521
 
5.7%
174
 
1.9%
172
 
1.9%
159
 
1.7%
155
 
1.7%
145
 
1.6%
141
 
1.5%
Other values (367) 5920
64.9%

Most occurring categories

ValueCountFrequency (%)
Other Letter 8052
88.3%
Space Separator 521
 
5.7%
Decimal Number 378
 
4.1%
Uppercase Letter 66
 
0.7%
Open Punctuation 48
 
0.5%
Close Punctuation 48
 
0.5%
Lowercase Letter 3
 
< 0.1%
Dash Punctuation 2
 
< 0.1%
Other Punctuation 1
 
< 0.1%

Most frequent character per category

Other Letter
ValueCountFrequency (%)
587
 
7.3%
578
 
7.2%
567
 
7.0%
174
 
2.2%
172
 
2.1%
159
 
2.0%
155
 
1.9%
145
 
1.8%
141
 
1.8%
140
 
1.7%
Other values (330) 5234
65.0%
Uppercase Letter
ValueCountFrequency (%)
E 11
16.7%
K 8
12.1%
S 7
10.6%
L 4
 
6.1%
P 4
 
6.1%
J 4
 
6.1%
B 3
 
4.5%
V 3
 
4.5%
H 3
 
4.5%
G 3
 
4.5%
Other values (9) 16
24.2%
Decimal Number
ValueCountFrequency (%)
1 114
30.2%
2 85
22.5%
0 57
15.1%
3 38
 
10.1%
5 20
 
5.3%
4 20
 
5.3%
7 16
 
4.2%
9 12
 
3.2%
8 8
 
2.1%
6 8
 
2.1%
Lowercase Letter
ValueCountFrequency (%)
n 1
33.3%
e 1
33.3%
s 1
33.3%
Space Separator
ValueCountFrequency (%)
521
100.0%
Open Punctuation
ValueCountFrequency (%)
( 48
100.0%
Close Punctuation
ValueCountFrequency (%)
) 48
100.0%
Dash Punctuation
ValueCountFrequency (%)
- 2
100.0%
Other Punctuation
ValueCountFrequency (%)
, 1
100.0%

Most occurring scripts

ValueCountFrequency (%)
Hangul 8052
88.3%
Common 998
 
10.9%
Latin 69
 
0.8%

Most frequent character per script

Hangul
ValueCountFrequency (%)
587
 
7.3%
578
 
7.2%
567
 
7.0%
174
 
2.2%
172
 
2.1%
159
 
2.0%
155
 
1.9%
145
 
1.8%
141
 
1.8%
140
 
1.7%
Other values (330) 5234
65.0%
Latin
ValueCountFrequency (%)
E 11
15.9%
K 8
11.6%
S 7
 
10.1%
L 4
 
5.8%
P 4
 
5.8%
J 4
 
5.8%
B 3
 
4.3%
V 3
 
4.3%
H 3
 
4.3%
G 3
 
4.3%
Other values (12) 19
27.5%
Common
ValueCountFrequency (%)
521
52.2%
1 114
 
11.4%
2 85
 
8.5%
0 57
 
5.7%
( 48
 
4.8%
) 48
 
4.8%
3 38
 
3.8%
5 20
 
2.0%
4 20
 
2.0%
7 16
 
1.6%
Other values (5) 31
 
3.1%

Most occurring blocks

ValueCountFrequency (%)
Hangul 8052
88.3%
ASCII 1067
 
11.7%

Most frequent character per block

Hangul
ValueCountFrequency (%)
587
 
7.3%
578
 
7.2%
567
 
7.0%
174
 
2.2%
172
 
2.1%
159
 
2.0%
155
 
1.9%
145
 
1.8%
141
 
1.8%
140
 
1.7%
Other values (330) 5234
65.0%
ASCII
ValueCountFrequency (%)
521
48.8%
1 114
 
10.7%
2 85
 
8.0%
0 57
 
5.3%
( 48
 
4.5%
) 48
 
4.5%
3 38
 
3.6%
5 20
 
1.9%
4 20
 
1.9%
7 16
 
1.5%
Other values (27) 100
 
9.4%

단속건수(count)
Real number (ℝ)

Distinct614
Distinct (%)90.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean3099.0809
Minimum1
Maximum29383
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size6.1 KiB
2024-03-14T20:48:36.354009image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum1
5-th percentile26.9
Q1432
median1298
Q33874.75
95-th percentile12074.9
Maximum29383
Range29382
Interquartile range (IQR)3442.75

Descriptive statistics

Standard deviation4512.1831
Coefficient of variation (CV)1.4559746
Kurtosis8.6697395
Mean3099.0809
Median Absolute Deviation (MAD)1124.5
Skewness2.7002653
Sum2107375
Variance20359796
MonotonicityNot monotonic
2024-03-14T20:48:36.774453image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
5 4
 
0.6%
1 4
 
0.6%
7 3
 
0.4%
2 3
 
0.4%
104 3
 
0.4%
137 3
 
0.4%
21 3
 
0.4%
28 3
 
0.4%
15 3
 
0.4%
457 2
 
0.3%
Other values (604) 649
95.4%
ValueCountFrequency (%)
1 4
0.6%
2 3
0.4%
3 1
 
0.1%
4 2
0.3%
5 4
0.6%
7 3
0.4%
8 2
0.3%
9 2
0.3%
10 1
 
0.1%
11 1
 
0.1%
ValueCountFrequency (%)
29383 1
0.1%
27955 1
0.1%
25841 1
0.1%
25583 1
0.1%
24870 1
0.1%
24848 1
0.1%
23857 1
0.1%
23670 1
0.1%
21439 1
0.1%
20206 1
0.1%

데이터기준일자
Date

CONSTANT 

Distinct1
Distinct (%)0.1%
Missing0
Missing (%)0.0%
Memory size5.4 KiB
Minimum2024-02-28 00:00:00
Maximum2024-02-28 00:00:00
2024-03-14T20:48:36.976166image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:48:37.136974image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=1)

Interactions

2024-03-14T20:48:31.996368image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:48:31.450470image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:48:32.273678image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2024-03-14T20:48:31.727834image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2024-03-14T20:48:37.254480image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인덱스(INDEX)단속건수(count)
인덱스(INDEX)1.0000.239
단속건수(count)0.2391.000
2024-03-14T20:48:37.394330image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
인덱스(INDEX)단속건수(count)
인덱스(INDEX)1.000-0.251
단속건수(count)-0.2511.000

Missing values

2024-03-14T20:48:32.842650image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2024-03-14T20:48:33.117645image/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

인덱스(INDEX)단속장소(GPS1)단속건수(count)데이터기준일자
01객사리 버스승강장72024-02-28
12고덕동 고덕동양파라곤정문부근68182024-02-28
23고덕동 삼성전자평택물류센터부근27682024-02-28
34고덕동 삼성평택캠퍼스1(한전사거리)106352024-02-28
45고덕동 신안인스빌사거리부근104832024-02-28
56고덕동 신안인스빌정문부근15992024-02-28
67고덕동 에이스더퍼스트고덕 부근141032024-02-28
78고덕동 우성고덕타워 삼거리 부근214392024-02-28
89고덕동 우성메디컬센터 부근4432024-02-28
910고덕동 자연앤자이정문(709동)부근37072024-02-28
인덱스(INDEX)단속장소(GPS1)단속건수(count)데이터기준일자
670671포승읍 평택직할세관 정문 부근1342024-02-28
671672포승읍 평택항동부두742024-02-28
672673포승읍 평택항여객터미널 부근1392024-02-28
673674포승읍평택항여객터미널부근572024-02-28
674675한성아파트버스승강장862024-02-28
675676합정동 공영주차장후문부근8322024-02-28
676677합정동 롯데마트3 부근1682024-02-28
677678합정동 롯데마트4 부근8222024-02-28
678679합정동공영주차장정문부근9262024-02-28
679680현촌 금호어울림2단지 부근3782024-02-28