Francisco Riano

This post presents an App made with R shiny that estimates the optimal price of accommodations in Amsterdam based on Airbnb listings data.

This project was created with the aim of applying web scraping techniques, using Python, in order to analyse and collect data extracted from MBAStudies.com.

In this post I present, in a summarized way, the thesis written for my master’s degree in Marketing Analytics at Tilburg University.

This repository was created with the aim of determining and explaining how infrastructure affects the price of a sample of accomodations, listed on Airbnb, in Amsterdam.

Following text mining purposes, in this post, developed through R language, it is going to be explained how is possible to get relevant insight from a WhatsApp chat.

In this post, it is explained what is text mining, the main purposes behind it and how it could be developed through R language, using data from the Twitter API.

This post explains how different machine learning techniques could be used to create successful data-driven marketing strategies.

In this post we will see some SQL queries that could be very useful in order to get the best insights from a database