I have recently taken some online courses in the statistical package called ‘R’ that is freely available in the public domain. After a little effort, I was able to instal this on my Macbook. It creates beautiful plots and is a very versatile and powerful aid to understanding big data.
After installation of R Studio, and the installation of the necessary packages and libraries, I was able to get to work in understanding it. I decided to take the free online courses on edX for a start. Data Science R Basicsย is an introduction to the nuts and bolts of R including data frames, data types and function calls, conditionals and for loops. Data Science: Visualizationย is an introduction to ggplot and its features and explains how to select and summarize data from a data frame according to logical conditions.
I thoroughly recommend the courses by edXย as they track your progress unit by unit and include ideos and explanatory material.
![Screenshot 2019-02-03 at 01.09.53](https://i0.wp.com/www.mathphystutoruk.com/wp-content/uploads/2019/02/Screenshot-2019-02-03-at-01.09.53.png?resize=525%2C379&ssl=1)
![Screenshot 2019-02-03 at 01.10.28](https://i0.wp.com/www.mathphystutoruk.com/wp-content/uploads/2019/02/Screenshot-2019-02-03-at-01.10.28.png?resize=525%2C348&ssl=1)
Above are some sample plots extracted from data sets containing life expectancy, fertility and income statistics. Such data sets are available as add-ons free of charge as is everything with R.
Here is one plot that I made after a few days studying the online material.
![Screenshot 2019-02-03 at 02.06.10](https://i0.wp.com/www.mathphystutoruk.com/wp-content/uploads/2019/02/Screenshot-2019-02-03-at-02.06.10.png?resize=525%2C405&ssl=1)