It looks like you're using Internet Explorer 11 or older. This website works best with modern browsers such as the latest versions of Chrome, Firefox, Safari, and Edge. If you continue with this browser, you may see unexpected results.
This research guide will assist you with resources dedicated to data visualization.
Plotly: Plot.ly is is an web-based data analytics and visualization tool that lets users create interactive charts, informative graphics, dashboards, and slide decks with your data to share online with their community. It provides online graphing, analytics, and statistics tools as well as scientific graphing libraries for Python, R, MATLAB, Perl, Julia, Arduino, and REST. Please note that it is free to use, but to host your visualization online you will need to sign up for an account. Also, it will only allow you to save one visualization so if you need to save more than one, you will need to create a professional account.
RStudio: RStudio is a statistical and graphics language and environment with extensive capability to analyze and plot large datasets. The New School community has access to this resource through My.Newschool.edu - Apps Locker.
LinkedIn Learning provides a variety of tutorials to assist with creating charts and graphs for data visualization. You will need to create an account using your New School email address in order to use this database.