This repository contains course materials for "Digital Footprints of Consumer Preferences".

Brief info about what you find in this repo:

Examples in this repo:

API_Kiva

How to collect data using the Kiva API, and how to process the results.

• aux_functions.R contains example helper functions (f_get...) that you can use to extract specific fields from the response object
• how_to_filter_by_riskRating.R - exactly what the filename says
• how_to_get_MoreThan100LoanIDs.R - exactly what the filename says
• loan_id: how to get information about a specific loan id
• loans_filter: how to get ids of loans that meet specific criteria and then loop through all the loan IDs and get additional details for each of them.
• steps_to_collect_data.R shows how to structure the data collection file

how_to_Rmd

How to use advanced R Markdown functionalities that enable reproducible reports.