Cairstair
September 24, 2016
This presentation is part two of the Data Products Assignment for Coursera. You can find all R code for this presentation at my github account.
Link: https://github.com/Cairstair/Data_Products_Assignment
For those that are reviewing this for the assignment. I kindly appreciate any words of advice or suggestions.
The “Most Cost Effective Car for Particular Trip” app is designed to establish based on parameters that you have the ability to enter. The goal is to establish which car in the mtcars dataset is best suited to your needs. The mtcars dataset is taken directly from R.
Information that you will need to provide:
The table provided will give you only vehicles that match the desired parameters. Thefore, allowing you to choose the most appopiate car.
Data within the mtcars dataset was extracted from the 1974 Motor Trend US Magazine. It comprises of fuel consumption and 10 aspects of autombile design. The preformance for 32 autombiles are included.
The dataset is 32 entrise wiht 11 columns.
head(mtcars)
mpg cyl disp hp drat wt qsec vs am gear carb
Mazda RX4 21.0 6 160 110 3.90 2.620 16.46 0 1 4 4
Mazda RX4 Wag 21.0 6 160 110 3.90 2.875 17.02 0 1 4 4
Datsun 710 22.8 4 108 93 3.85 2.320 18.61 1 1 4 1
Hornet 4 Drive 21.4 6 258 110 3.08 3.215 19.44 1 0 3 1
Hornet Sportabout 18.7 8 360 175 3.15 3.440 17.02 0 0 3 2
Valiant 18.1 6 225 105 2.76 3.460 20.22 1 0 3 1
The benefit of this application is that it will allow users to be capable of choosing from a variety of vehicles. If the dataset was updated to the most present cars in the company Zipcar; it would be far easier for individuals to choose the most appropiate car.
This could be provided to individuals for their ease of access to the company. Without fear of sales pitches.