There are different formats that animations can be created in R which include GIF, HTML, LaTeX, SWF and mp4. The code below shows the basic format for each of the calls: saveGIF({ for (i in 1:10) plot(runif(10), ylim = 0:1) }) This code creates an animation by generating and then…

This week the focus of our assignment was to create a social network graph using either NodeXL or RStudio. I chose to stick with RStudio because I am more experience with it and want to learn as much as I can with it. In network maps, as in other visualization…

The minimal line plot shows one of the most important elemental principles of the visual display of quantitative information which is that of keeping things simple by using minimialism. The graph above is one of the visualizations that Dr. Piwek on “Tufte in R.” The goal of this type of…

A time series is a series of data points indexed in time order. Most commonly, a time series is a sequence taken at successive equally spaced points in time. Thus it is a sequence of discrete-time data This week I used ggplot2 and the economics data set which comes within…

This week we covered the 5 basic principles of design which help to avoid disasters and allow you to communicate your key theme. These principles include: Alignment — it allows us to create order and organization among elements. Repetition — strengthens a design by tying together individual elements. …

Correlation is a mutual relationship or connection between two or more things. A good way to show the correlation of data is by using a scatter plot. For this weeks assignment we used ggplot2 which is a data visualization package for the statistical programming language R. I used the mtcars data set to create the scatter plot above using ggplot2. It shows the correlation between the miles per gallon and horse power of the cars in the data set.

For this weeks assignment I used RStudio once again and created a histogram based on distribution analysis using the mtcars data set. A histogram is a visual representation of the distribution of a data set. …

When spotting differences it is essential to classify or group units into categories and then from there one can find the outliers or standouts. What we are trying to do is to look at each variable for differences while also seeing the differences across all variables. This week we used RStudio to create a visual. I decided to play around with the mtcars dataset that comes with the r programming language.

This week we used the program Plotly which is a technical computing company that develops online data analystics and visualization tools. We focused on Part of a Whole when it comes to visual analytics and it doesn’t get any simpler than the titoe. We are focusing our visual analytics on a certain part of a whole of data provided by our professor. As described by Few, “The most frequent and simplest types of analysis involves comparing parts of a whole and ranking them by value.”