From Data to Viz is a classification of chart types based on input data format. It comes in the form of a decision tree leading to a set of potentially appropriate visualizations to represent the dataset.
The project is built on two underlying philosophies. First, that most data analysis can be summarized in about twenty different dataset formats. Second, that both data and context determine the appropriate chart.
Thus, our suggested method consists in identifying and trying all feasible chart types to find out which suits your data and idea best.
Once this set of graphics is identified, data-to-viz.com aims to guide you toward the best decision. It also provides a list of common caveats to avoid and always provides a reproducible code snippet in the R programming language.
Dataviz is a world with endless possibilities and this project does not claim to be exhaustive. However, it should provide you with a good starting point.
Data to viz is based on a bootstrap template and hosted on github. Logos, trees and poster have been made by Conor Healy and animated using CSS and D3.js.
The vast majority of the pages of this website are built using R Markdown with the R studio IDE. Dataset used in example are all listed in this github repository.