Analysis of UCI Facebook Metrics Dataset using statistical methods.
The UCI Facebook Metrics is an open-source dataset containing data about all the posts from a particular Facebook page over a period of time. It contains 500 observations and 19 features, with 7 features being information that are available at the time of posting, and the rest, based on a post's performance.
- Exploratory Data Analysis (EDA)
- Principal Component Analysis (PCA)
- Regression Modelling
- Observation
https://archive.ics.uci.edu/ml/datasets/Facebook+metrics
(Moro et al., 2016) Moro, S., Rita, P., & Vala, B. (2016). Predicting social media performance metrics and evaluation of the impact on brand building: A data mining approach. Journal of Business Research, 69(9), 3341-3351.