Code


I am author of the lapop R package, the bilingual AmericasBarometer Data Playground, and the AmericasBarometer Question Search Tool.

Here you can find R tutorials and Python helper functions that I have developed in past and frequently update. These tutorials and code snippets come from my own coding, short workshops and invited talks that I gave in both English and Portuguese.

If you want to invite me to give a talk or lead a workshop at your institution, email me at workshop@robertvidigal.com

  • Introduction to R

    Introduction to R Tutorial is a beginner-friendly guide to the R programming language.

  • Introduction to Python

    Python is a general-purpose, high-level programming language that is easy to learn and use.

  • AWS S3 Data Pull

    Learn the basics of Amazon Simple Storage Service (S3), including how to access buckets, download and write objects.

  • Object and Data Classes in R

    Learn about object and data classes in R, and how to use them to organize and analyze your data.

  • Data Structures in Python

    This tutorial will teach you about the different data structures available in Python and how to use them to store and organize data.

  • Twitter Data Pull

    This Python code pulls posts, likes, friends, and user timeline from Twitter raw data.

  • Subsetting & Merging Data in R

    Learn how to work with different data types in R, how to subset data, and how to merge data sets.

  • Classes & Methods in Python

    How to create and use classes and methods in Python, the building blocks of object-oriented programming.

  • Facebook Data Pull

    This Python code pulls user posts and page likes from Facebook raw data.

  • Introduction to IRT

    Learn the basics of Item Response Theory (IRT), a statistical method for analyzing test items and measuring a latent trait or ability.

  • Descriptive Statistics

    Learn the basics of descriptive statistics, including measures of central tendency, measures of dispersion, and hypothesis testing.

  • YouTube Data Pull

    This Python code unzips YouTube takeout data and pull videos metadata from the YouTube API.

  • Labels in R

    Learn how to add labels to variables and values in R with this tutorial.

  • Differential Item Functioning (DIF)

    Learn about differential item functioning (DIF), a statistical method for identifying items on a test that function differently for different groups of people.

  • Weighted Networks

    Learn how to create weighted networks, which are networks where the ties among nodes have weights assigned to them.

Robert Vidigal, Ph.D. | Vanderbilt University
| Copyright 2024