This app predicts the next word in a given sentence. The algorithm uses the last words of the sentence as the context to predict the new word.

This document explains how to load, process and analyse text data files in order to study their word frequency. The data files contains tweets, news and blog entries, respectively.

This app is designed as a convenient tool for tourists willing to visit Barcelona as it allows to easily locate the most important tourist sites on the city map. Usage is straightforward: * you can restrict the search to any number of city districts by selecting them on the left panel * you can search the sites by name. The sites whose name matches the text will be shown on the map as you type * if you click on a pin the corresponding site name, URL and description will be displayed on the page bottom

This is the assignment of week 3 of Coursera Developing Data Products course. Never thought trigonometry could be cool, huh? Look what a sine function can do!

The map below shows Barcelona tourist sites. The information was taken from Barcelona open data portal: https://opendata-ajuntament.barcelona.cat/data/es/dataset/punts-informacio-turistica Markers are represented in clusters and are expanded when the user zooms over the corresponding area. Every marker has a popup which shows the name of the site.

Storms and other severe weather events can cause both public health and economic problems for communities and municipalities. Many severe events can result in fatalities, injuries, and property damage, and preventing such outcomes to the extent possible is a key concern. This document is a very preliminary study on the consequences of storms and other extreme natural events that shows the devastating effects, both on population health and on economy, that these events have. The research conducted is completely reproducible because the data and the code are provided to the scientific community.

Reproducible Research: Peer Assessment 1