SAS Exercises

This project's main goal is to improve R programming skills. It's based on the knowledge obtained from "Programming for data science" book written by Michael Freeman and Joel Ross.

Table of contents

• General info
• Screenshots
• Technologies
• To do list
• Status
• Inspiration
• Contact

General info

This project will show how to:

• make a variable
• make a function
• make a vector
• make a list
• make a data frame
• use a dplyr package
• use a tidydr package
• access a database
• use API
• use a ggplot2 package
• use a plotly package
• use a rbokeh package
• use a leaflet package

Screenshots

TBA

Technologies

• R 3.6.2
• RStudio

Code Examples

Function example:

imperial_to_metric <- function(feet,inches){
  metric <- (feet + inches / 12)*0.3048
}

List example:

#Creating two vectors of meals
my_breakfast <- c("banana", "kefir")
my_lunch <- c("tortilla", "tomato", "cucumber")

#Creating list of meals which contains two vectors
meals <- list(breakfast = my_breakfast, lunch = my_lunch)

#Adding third vector (third meal) to the list
meals$dinner <- c("sandwich","sausage")

To do list

• use a dplyr package
• use a tidydr package
• access a database
• use API
• use a ggplot2 package
• use a plotly package
• use a rbokeh package
• use a leaflet package

Status

Project is: in progress

Inspiration

The biggest inspiration for starting this project were people I met during my studies: Yarek and Kinga.

Contact

Template was created by @https://github.com/programming-for-data-science/book-exercises and filled by @sbrylka.