Quick distribution plotting with R


I was asked by new students in the Statistics and Data Analysis School of Tunis (and by others friends) about ways to plot densities and the best software to do that.

I will try to give some examples with  R software on how to plot density .

If you don't know what R is, you can take a look at my old article that explains that very well with some good R learning resources . ( here in French ).

You know that densities are all about random data and the first thing that comes in mind is histograms.

To start this task, we will first set the data sample that we will work with which should be random, and then we will start plotting some nice graphics with the ggplot2 library.

Basic things :Histogram and density plots:



regular histogram
where is the mean!

density plot
Overlay of density and histogram



Histograms and densities with multiple groups:



Overlaid histograms
Interleaved histograms

Density plots
Density plots with semi-transparent fill

Density plots with means
Overlaid histograms with means



Box-plots:


Basic Box-plot
A basic box with the conditions colored
     
legend removed
With flipped axes
   


So I hope this post would help you with plotting densities and histograms !

 It can be fun!






Popular posts from this blog

Mathematical Symbols in LATEX

Image
I have been going through my hard drive and organizing some of the files I have, PDF's, eBooks and articles and I found a very interesting documents about LATEX math symbols. Please deactivate ad-blockers to be able to see the pdf document ! UPDATE : I have published this article a few years and it has attracted the most attention of all my blogposts, so I'd like to thank all of the visitors that shared this post. Please take some time to check out other articles I have shared about Data Science, Machine learning and Big Data: Data Mining basic and advanced concepts - Part 2 : Describing Data Here are some of the most interesting parts of it:
Read More >>

Analyzing Twitter data with R (part 3: Cleaning & organizing the Data)

Image
After we have explained in the previous parts, how to set up the access to Twitter's API and how to import tweets with a simple R command, in this third part we will try to organize and clean the data we have imported in good reusable format. So let's pick up from where we left off , after finishing the authentication process, now we want to import certain tweets. the command  searchTwitter  from the package twitteR will do the job for us.  we need to create a new object that will contain the data we are about to import and give it the result of our  searchTwitter function. In our example, we will be querying Twitter for the tweets containing the hashtag #Tunisia , we will import 1000 English tweets. and we will have a preview of the imported data with the head()  function:
Read More >>

Linkin Park: Analyzing the causes of death of Rock band members

Image
Being a part of the Y generation, I grew up listening to various types and genres of music, from Rap to RnB, to Rock and electronic music. I was personally choked to hear about the death of the lead singer of the Linkin Park band. Their music was and still is popular until today. The news was as choking to me as to anyone else who knew that band. After knowing about the news, I had a discussion about this tragedy , and a question popped up about the fact that rock band members mostly die of suicide or drug over-dose. I wasn't really sure that this information is true, so I really couldn't have a real argument to say that it is maybe (or not ) the most commun reason of death for Rock stars. And since I love playing with data, I decided to fact-check the hypothesis stating that:  "The most commun cause of death among rock band members is suicide" . To start, we have to get  some data! and since there is no available data-set to analyse , I had to be creativ...
Read More >>