DATA606Projectproposal
jim lung
03-19-2017
https://github.com/hadley/fueleconomy/blob/master/data-raw/vehicles.csv
library(fueleconomy)
library(DT)
fuel<-read.csv("https://github.com/hadley/fueleconomy/blob/master/data-raw/vehicles.csv")
head(fueleconomy::vehicles)## # A tibble: 6 ⊙ 12
## id make model year class
## <int> <chr> <chr> <int> <chr>
## 1 27550 AM General DJ Po Vehicle 2WD 1984 Special Purpose Vehicle 2WD
## 2 28426 AM General DJ Po Vehicle 2WD 1984 Special Purpose Vehicle 2WD
## 3 27549 AM General FJ8c Post Office 1984 Special Purpose Vehicle 2WD
## 4 28425 AM General FJ8c Post Office 1984 Special Purpose Vehicle 2WD
## 5 1032 AM General Post Office DJ5 2WD 1985 Special Purpose Vehicle 2WD
## 6 1033 AM General Post Office DJ8 2WD 1985 Special Purpose Vehicle 2WD
## # ... with 7 more variables: trans <chr>, drive <chr>, cyl <int>,
## # displ <dbl>, fuel <chr>, hwy <int>, cty <int>Research question
What is the relation and comparsion between fuel economy and manufacturer of vehicles over 30 years from 1984 to 2015?
What are the cases, and how many are there?
33,442 cases from 1984 to 2015 with different manufacturer, model name, year, epa vehicle size class, transmission, drive train, fuel type, highway fuel economy and city fuel economy.
Describe the method of data collection.
The fuel economy data were collected from the EPA by observational data.
What type of study is this (observational/experiment)?
The type of study is observational by EPA
Data Source: If you collected the data, state self-collected. If not, provide a citation/link.
The data source is from “http://www.fueleconomy.gov/feg/download.shtml”
Response: What is the response variable, and what type is it (numerical/categorical)?
The data structure are 12 column with 33,442 entries, the master key is “id”. the response variable are highway fuel economy and city fuel economy. It is the type of numerical.
Explanatory: What is the explanatory variable(s), and what type is it (numerical/categorival)?
The explanatory variable is manufacturer, year and number of cylinders. The manufacturer and year are the type of catergorival. And the cylinders is the type of numerical.
Relevant summary statistics
Summary of vehicles
summary(fueleconomy::vehicles)## id make model year
## Min. : 1 Length:33442 Length:33442 Min. :1984
## 1st Qu.: 8361 Class :character Class :character 1st Qu.:1991
## Median :16724 Mode :character Mode :character Median :1999
## Mean :17038 Mean :1999
## 3rd Qu.:25265 3rd Qu.:2008
## Max. :34932 Max. :2015
##
## class trans drive cyl
## Length:33442 Length:33442 Length:33442 Min. : 2.000
## Class :character Class :character Class :character 1st Qu.: 4.000
## Mode :character Mode :character Mode :character Median : 6.000
## Mean : 5.772
## 3rd Qu.: 6.000
## Max. :16.000
## NA's :58
## displ fuel hwy cty
## Min. :0.000 Length:33442 Min. : 9.00 Min. : 6.00
## 1st Qu.:2.300 Class :character 1st Qu.: 19.00 1st Qu.: 15.00
## Median :3.000 Mode :character Median : 23.00 Median : 17.00
## Mean :3.353 Mean : 23.55 Mean : 17.49
## 3rd Qu.:4.300 3rd Qu.: 27.00 3rd Qu.: 20.00
## Max. :8.400 Max. :109.00 Max. :138.00
## NA's :57hist((fueleconomy::vehicles)$cty)
hist((fueleconomy::vehicles)$hwy)