## Using R.

A correlation matrix is a table of correlation coefficients for a set of variables used to determine if a relationship exists between the variables. The…

Continue reading

Area charts are the classic choice for visualizing variables over time. We'll show you how to use ggplot2 package to create a basic area chart in R.

Continue reading

Pie charts are the classic choice for showing proportions for mutually-exclusive categories. We'll show you how to use ggplot2 package to create a basic pie cha...

Continue reading

Learn how to create interactive simulators, where users can manipulate predictor variables and see how the predictions change.

Continue reading

Plotly can be used to create interactive, 3D visualizations of correspondence analysis. You can publish these as online dashboards using Displayr.

Continue reading

It is now possible to create public dashboards, based on R code, for free. Displayr allows you to create and share interactive charts, maps, and more!

Continue reading

Sorting data is important for you to do any kind of meaningful analysis. Find out how to sort data including vectors, data frames and matrices in R.

Continue reading

Interesting new R packages are often only available on GitHub. This post shows you how to install R packages from GitHub in R, RStudio, and Diplayr.

Continue reading

In this post, I'll show you how to create a Sankey Diagram using R, when your data has been set up as a table. It's easier than you think.

Continue reading

In this article, we demonstrate a number of ways to estimate trend lines in R, and to visualize it using the Plotly package.

Continue reading

Import an Excel file into R using the flipAPI package: it builds on Hadley Wickham's readxl package with features to simplify data importing and formatting.

Continue reading

You have a data set and you need to quickly organize it to perform your data analysis. In this post, I’ll show you how you can easily aggregate data in R.

Continue reading

Large survey data sets are often provided in proprietary binary formats such DTA file (supported by Stata). Here, we show you how to read DTA files into R.

Continue reading

The Word Cloud above summarizes some data from tweets by President Trump. The green words are words that are significantly more likely to be used…

Continue reading

Need to convert strings or characters to time and dates in R? I'll discuss some useful packages, the common pitfalls and give some tips on how working with date...

Continue reading

You can use Displayr’s density plot maker to create your own density plot for free. Lots of different visualizations have been proposed for understanding distributions.…

Continue reading

A cheat sheet on how to Format Numbers, Dates, and Time Using in D3 HTMLWidgets in R.

Continue reading

How does Linear Discriminant Analysis (LDA) work and how do you use it in R? This post answers these questions and provides an introduction to LDA.

Continue reading

A step by step guide on how to create chart templates using R functions. Chart templates allow you to standardize the look and feel of reports.

Continue reading

How to create a system to automatically write and email reports based on automatically computed analyses (yep, everything automated).

Continue reading

An introduction to three tools that make creating and updating PowerPoint reports using R much more efficient and less painful.

Continue reading

How to download Google Trends data in R. Google Trends search data can be manipulated and explored in more detail if you analyze it using R.

Continue reading

Singular value decomposition (SVD) is explained using examples in R. SVD is a workhorse for techniques that decompose data, such as correspondence analysis.

Continue reading

I show how to automatically fit the Support Vector Machine cost parameter by automating the manual search for the optimal cost.

Continue reading

Partial Least Squares in R is a great way to conduct relative importance analysis because it effectively compresses the data before regression.

Continue reading

Sometimes you may create an object that you want to use in another Displayr document. Instead of replicating the analysis, we can just copy the object.

Continue reading

You can take your correspondence analysis plots to the next level by including images. This post describes how to create this plot using R.

Continue reading

Labeled scatter plots and bubble charts can be easily formatted using the rhtmlLabeledScatter R package.

Continue reading

This posts describes how to create custom Sankey diagrams in R. It explains the basics of Sankey diagrams and provides examples of different layouts.

Continue reading

To feed information about text into a statistical algorithm, it must first be converted into a form amenable to doing calculations - a term document matrix.

Continue reading

Here are the seven steps to add an interactive R visualization to your blog post in under 30 seconds.

Continue reading