Long project title, e.g., research question
Motivate your research question or business problem. Clearly explain which problem is solved.
First, introduce and motivate your chosen method, and explain how it contributes to solving the research question/business problem.
Second, summarize your results concisely. Make use of subheaders where appropriate.
Provide an overview of the directory structure and files.
To run the files Make is needed . The directory works with make which should be run. Also [R-studio] (https://tilburgsciencehub.com/get/r) is needed to run the R-files.
Explain to potential users how to run/replicate your workflow. Touch upon, if necessary, the required input data, which (secret) credentials are required (and how to obtain them), which software tools are needed to run the workflow (including links to the installation instructions), and how to run the workflow. Make use of subheaders where appropriate.
Point interested users to any related literature and/or documentation.
This project is performed by project group 2 of the Data Preparation and Workflow Management course of the TISEM department of Tilburg University. The project is done in the fall 2021 version of the course. The project was part of a team project performed by Marketing Analytics master students. Professor Hannes Datta contributed by providing helpful feedback during project feedback meetings.
##contributors Team members: Doria Wengting Wang, Inge Oostveen, Ralph, Paulus, Wouter Floors