Chapter 3 – Analyzing Twitter Data by Time Period
Chapter 2 – Aggregating and Analyzing Data by Twitter Account
Chapter 1 – Import Data, Select Cases and Variables, Save DataFrame
Downloading Tweets, Take III – MongoDB
In this tutorial I walk you through how to use Python and MongoDB to download tweets from a list of Twitter users. This tutorial builds on several recents posts on how to use Python to download Twitter data. Specifically, in a previous post I showed you how to download tweets using Python and an SQLite […]
SQLite vs. MongoDB for Big Data
In my latest tutorial I walked readers through a Python script designed to download tweets by a set of Twitter users and insert them into an SQLite database. In this post I will provide my own thoughts on the pros and cons of using a relational database such as SQLite vs. a “noSQL” database such […]
Downloading Tweets – Take II
The goal of this post is to walk you through a Python script designed to download tweets by a set of Twitter users and insert them into an SQLite database. In a previous post I supplied a brief, temporary attempt at providing an overview of how to download tweets sent by a list of Twitter […]
Analyzing Big Data with Python PANDAS
This is a series of iPython notebooks for analyzing Big Data — specifically Twitter data — using Python’s powerful PANDAS (Python Data Analysis) library. Through these tutorials I’ll walk you through how to analyze your raw social media data using a typical social science approach. The target audience is those who are interested in covering […]
Establishing a Presence: Advice for PhD Students
Being Director of Graduate Studies gives me plenty of time to reflect on what I’d like students to get out of graduate education. For budding academics, you have all likely heard (countless times!) that the ultimate “deliverable” is high-quality journal articles. Of this there is little doubt — at least in the fields I’m familiar […]
