Research

Colors in Data Visualization

This workshop will discuss how to select colors that complement the message of your data visualization without sacrificing readability. We will also review best practices for using color to encode numerical values and explore how color can be used to accent information and establish a clear visual hierarchy.

Please contact dataworkshop@rice.edu if you need to cancel your registration or have any questions.

Introduction to Effective Data Visualization

This workshop will review research in visual perception and explore how different visual forms impact a viewer’s understanding of the data. We will also discuss general guidelines for visualization design. Participants will have the opportunity to apply what they learned during a hands-on visualization exercise.

Please contact dataworkshop@rice.edu if you need to cancel your registration or have any questions.

Introduction to Rice's Research Computing Infrastructure

Learn about Rice’s networked storage, its virtual machine farm, and its supercomputing cluster. This workshop will introduce you to what these resources are, how to gain access to them, and integrated use cases that will be of interest to humanists and scientists alike, in 3 areas: 1) data-driven web applications, 2) massively parallelized processes, 3) managing large datasets.

Python-Pandas

Pandas is one of the most useful Python libraries, used for the creation, manipulation, and analysis of data tables. Attendees will learn the fundamentals of table creation and manipulation in Pandas.

Please contact dataworkshop@rice.edu if you need to cancel your registration or have any questions.

 

Introduction to R

Come learn the basics of R Statistical Programming Language, a powerful tool for statistical analysis, visualization, modeling and more! In this beginner-friendly class, you will learn some basic data types and commands to get you up and running inside RStudio. 

The Absolute Basics of Jupyter Notebooks

Every day, thousands (if not more) of programmers, statisticians, data scientists, information professionals, and journalists use Jupyter, an open-source web app that interactively presents live code augmented with visualizations and narrative text. Known as Notebooks, these interactive scripts are perfect for working with (or teaching) coding, as well as telling an unusual story aided by visuals. In this short course, we introduce the basics of installing Jupyter and creating your first notebook.