Ruiz Rivera | Data Scientist
This project was submitted as part of the requirements for Brainstation's Data Science Diploma program.
The focus of this project was to analyze the factors that determine whether a given tweet gets retweeted and to package these findings into actionable insights for Klima DAO to improve its brand visibility. All the documents pertaining to this project can also be found through the following Google Drive Folder.
For a generalized overview of the project, please read the document titled Klima-DAO-Twitter-Analytics-Report-RR.pdf. There's also presentation slides associated to this project which can be found here, as well as a video presentation which can be found on my YouTube page.
The data for this project was scraped from the Twitter API and concatenated into a master dataset. Its accessible through the data folder in this repository or through this link.
The code for this analysis was written in the following Google Colab Notebooks:
Please proceed though the notebooks in order they've been listed.
Thank you for spending your invaluable time reviewing my project!