Social Media, Organizations, and Academic Research
Below is an embedded version of an iPython notebook I have made publicly available on nbviewer. To download a copy of the code, click on the icon with three horizontal lines at the top right of the notebook (just below this paragraph) and select “Download Notebook.” I hope you find it helpful. If so, please […]
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 […]
Below is an embedded version of an iPython notebook I have made publicly available on nbviewer. To download a copy of the code, click on the icon with three horizontal lines at the top right of the notebook (just below this paragraph) and select “Download Notebook.” I hope you find it helpful. If so, please […]
More and more of my research involves some degree of ‘Big Data’ — typically datasets with a million or so tweets. Getting these data prepped for analysis can involve massive amounts of data manipulation — anything from aggregating data to the daily or organizational level, to merging in additional variables, to generating data required for […]
