This page contains the relevant data and code for the final project in MA575: Linear Modeling, done in the Fall Semester of 2020 in Boston University. The learning goals were to apply what we learned in lectures in lab to gain insight into one of three datasets of our choice. Here, we analyzed the Facebook dataset, described below. All code for the project is located in the analysis directory.
This dataset is public available for research. The details are described in (Moro et a l., 2016). Please include this citation if you plan to use this database:
(Moro et al., 2016) S. Moro, P. Rita and B. Vala. Predicting social media performance metrics and evaluation of the impact on brand building: A data mining approach. Journal of Business Research, Elsevier, In press.
Available at: http://dx.doi.org/10.1016/j.jbusres.2016.02.010
The data is related to posts' published during the year of 2014 on the Facebook's page of a renowned cosmetics brand. This dataset contains 500 of the 790 rows and part of the features analyzed by Moro et al. (2016). The remaining were omitted due to confidentiality issues.
More information located in data/facebook/