The modules in Election Data Academy are for activists, citizen organizations, political parties, and journalists to learn how to analyze common datasets released during elections. These modules guide you through how to make the data work for you. Let's start playing!
In this tutorial we are going to define some common terms and concepts including the basic types, or categories, of data. Then we'll learn how to describe a dataset. By the end you will be prepared to take the concepts here and use them to summarize the polling station list in the next module.
In this tutorial, we're going to look over a list of polling stations. After getting a feel for what kind of data is contained in the dataset, we're going to use Excel to make a pivot table so we can explore the data and, in particular, to determine the number of polling stations and total number of registered voters in each district.
In this tutorial we are going to review the five major steps in the process of analyzing data. Then we will look at some tips for handling data and data files. Finally, using the polling station list from Module 1, we will run through a practical exercise where we use features in Excel to summarize the "Registered_Voters" variable.
Using sample ballot qualification data in Module 4, you’ll enhance your ability to:
During this tutorial, you’ll practice basic data analysis with voter registration information. We’d like you to improve your ability to:
Module 6 will solidify skills you began to master in Module 5 to allow you to do a more advanced analysis of voter registration data. We hope that by the end you will be able to:
Module 7 will solidify skills you gained in Modules 5 and 6 to allow you to do more advanced analysis of voter registration data. We’ll also introduce new tricks that will help you cross-reference data from other helpful sources, like census data, to supplement your analysis of the voter registration. We hope that by the end of Module 7 you’ll be able to: