Overview

Dataset statistics

Number of variables3
Number of observations210
Missing cells0
Missing cells (%)0.0%
Duplicate rows0
Duplicate rows (%)0.0%
Total size in memory5.5 KiB
Average record size in memory26.6 B

Variable types

Numeric2
Categorical1

Dataset

Description- 제주도 내 주유소 면세유 월평균 판매 가격 정보를 제공합니다. - 평균 판매 가격은 개별 주유소 판매가격의 합을 전체 주유소 개수로 나눈 값입니다. - 데이터 제공처: 한국석유공사 오피넷
Author제주특별자치도 미래성장과
URLhttps://www.jejudatahub.net/data/view/data/894

Alerts

판매 가격(원/리터) has unique valuesUnique

Reproduction

Analysis started2023-12-11 19:53:22.543299
Analysis finished2023-12-11 19:53:23.811362
Duration1.27 second
Software versionydata-profiling vv4.5.1
Download configurationconfig.json

Variables

연월
Real number (ℝ)

Distinct70
Distinct (%)33.3%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean201849.21
Minimum201601
Maximum202110
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T04:53:23.926046image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum201601
5-th percentile201604
Q1201706
median201811.5
Q3202005
95-th percentile202107
Maximum202110
Range509
Interquartile range (IQR)299

Descriptive statistics

Standard deviation168.03502
Coefficient of variation (CV)0.00083247794
Kurtosis-1.2387813
Mean201849.21
Median Absolute Deviation (MAD)110
Skewness0.030113553
Sum42388335
Variance28235.767
MonotonicityIncreasing
2023-12-12T04:53:24.163215image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
201601 3
 
1.4%
201910 3
 
1.4%
202004 3
 
1.4%
202003 3
 
1.4%
202002 3
 
1.4%
202001 3
 
1.4%
201912 3
 
1.4%
201911 3
 
1.4%
201909 3
 
1.4%
202006 3
 
1.4%
Other values (60) 180
85.7%
ValueCountFrequency (%)
201601 3
1.4%
201602 3
1.4%
201603 3
1.4%
201604 3
1.4%
201605 3
1.4%
201606 3
1.4%
201607 3
1.4%
201608 3
1.4%
201609 3
1.4%
201610 3
1.4%
ValueCountFrequency (%)
202110 3
1.4%
202109 3
1.4%
202108 3
1.4%
202107 3
1.4%
202106 3
1.4%
202105 3
1.4%
202104 3
1.4%
202103 3
1.4%
202102 3
1.4%
202101 3
1.4%

제품 구분
Categorical

Distinct3
Distinct (%)1.4%
Missing0
Missing (%)0.0%
Memory size1.8 KiB
휘발유
70 
자동차용경유
70 
실내등유
70 

Length

Max length6
Median length4
Mean length4.3333333
Min length3

Unique

Unique0 ?
Unique (%)0.0%

Sample

1st row휘발유
2nd row자동차용경유
3rd row실내등유
4th row휘발유
5th row자동차용경유

Common Values

ValueCountFrequency (%)
휘발유 70
33.3%
자동차용경유 70
33.3%
실내등유 70
33.3%

Length

2023-12-12T04:53:24.437606image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram of lengths of the category

Common Values (Plot)

2023-12-12T04:53:24.665509image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
ValueCountFrequency (%)
휘발유 70
33.3%
자동차용경유 70
33.3%
실내등유 70
33.3%

판매 가격(원/리터)
Real number (ℝ)

UNIQUE 

Distinct210
Distinct (%)100.0%
Missing0
Missing (%)0.0%
Infinite0
Infinite (%)0.0%
Mean713.86924
Minimum474.82
Maximum905.69
Zeros0
Zeros (%)0.0%
Negative0
Negative (%)0.0%
Memory size2.0 KiB
2023-12-12T04:53:24.926250image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Quantile statistics

Minimum474.82
5-th percentile546.124
Q1638.825
median732.79
Q3795.42
95-th percentile844.649
Maximum905.69
Range430.87
Interquartile range (IQR)156.595

Descriptive statistics

Standard deviation99.341571
Coefficient of variation (CV)0.13915934
Kurtosis-0.86813278
Mean713.86924
Median Absolute Deviation (MAD)75.565
Skewness-0.3672308
Sum149912.54
Variance9868.7477
MonotonicityNot monotonic
2023-12-12T04:53:25.171685image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
Histogram with fixed size bins (bins=50)
ValueCountFrequency (%)
536.03 1
 
0.5%
500.57 1
 
0.5%
828.05 1
 
0.5%
778.51 1
 
0.5%
844.0 1
 
0.5%
835.79 1
 
0.5%
755.97 1
 
0.5%
820.86 1
 
0.5%
803.02 1
 
0.5%
758.18 1
 
0.5%
Other values (200) 200
95.2%
ValueCountFrequency (%)
474.82 1
0.5%
500.24 1
0.5%
500.57 1
0.5%
509.31 1
0.5%
521.09 1
0.5%
531.77 1
0.5%
532.4 1
0.5%
536.03 1
0.5%
540.07 1
0.5%
541.09 1
0.5%
ValueCountFrequency (%)
905.69 1
0.5%
896.68 1
0.5%
883.01 1
0.5%
880.11 1
0.5%
874.93 1
0.5%
867.91 1
0.5%
867.35 1
0.5%
852.86 1
0.5%
852.06 1
0.5%
850.13 1
0.5%

Interactions

2023-12-12T04:53:23.336582image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:53:23.085666image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:53:23.458777image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
2023-12-12T04:53:23.215888image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/

Correlations

2023-12-12T04:53:25.324533image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연월제품 구분판매 가격(원/리터)
연월1.0000.0000.823
제품 구분0.0001.0000.047
판매 가격(원/리터)0.8230.0471.000
2023-12-12T04:53:25.462831image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
연월판매 가격(원/리터)제품 구분
연월1.0000.3160.000
판매 가격(원/리터)0.3161.0000.040
제품 구분0.0000.0401.000

Missing values

2023-12-12T04:53:23.629647image/svg+xmlMatplotlib v3.7.2, https://matplotlib.org/
A simple visualization of nullity by column.
2023-12-12T04:53:23.760087image/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

연월제품 구분판매 가격(원/리터)
0201601휘발유536.03
1201601자동차용경유550.34
2201601실내등유565.94
3201602휘발유500.24
4201602자동차용경유509.31
5201602실내등유531.77
6201603휘발유521.09
7201603자동차용경유549.74
8201603실내등유551.36
9201604휘발유541.09
연월제품 구분판매 가격(원/리터)
200202107실내등유799.47
201202108휘발유828.17
202202108자동차용경유850.13
203202108실내등유821.25
204202109휘발유825.13
205202109자동차용경유841.81
206202109실내등유827.25
207202110휘발유874.93
208202110자동차용경유905.69
209202110실내등유867.91