/R_GoogleTrends_Italy

R Shiny + flexdashboard

R Shiny + flexdashboard with code

Motivation

This demo app demonstrates how it is possible to combine the best of modern R 📦 packages to create interactive web applications at zero cost and without HTML, CSS, or JavaScript knowledge.

The App: Google Trends Italy/US

Based on search term, the app takes data from google trends and shows results about Italy or US depending on the user selection.

These are the two main pages:

Dashboard

  • Trends over the time and forecasting
  • Interest by city (top ten)
  • Regional Interest

Download Forecast Data

Link

History Version

  1. Google trends Italy
  2. Added google trends US
  3. Added Download Forecast Data

R Packages

  • ✨ {Shiny} provides an elegant and powerful web framework for building web applications using R.

  • 📊 {highcharter} is a rich R interface to the popular Highcharts JavaScript graphics library.

  • 💻 {flexdashboard} helps construct flexible, attractive, interactive dashboards.

  • 🔧 {dplyr} contains a set of functions (or “verbs”) that perform common data manipulation operations such as filtering for rows, selecting specific columns, re-ordering rows, adding new columns and summarizing data.

  • 🔮 {forecast} contains function for automatic forecasting determining an appropriate time series model, estimate the parameters and compute the forecasts.

  • 📑 {stringr} contains functions for manipulating strings in R.

  • 📅 {lubridate} facilitates working with dates and times.

  • 📈 {gtrendsR} provides an interface for retrieving and displaying Google Trends information.

  • 📝 {DT} provides a R interface to the JavaScript library DataTables. R data objects (matrices or data frames) can be displayed as tables on HTML pages, and DataTables provides filtering, pagination, sorting, and many other features in the tables.

Numbers

  • 📄 1 file
  • 🕚 1 day of work (starting from tutorials of one of my courses)
  • ✍ 200 lines of code
  • 🚿 30 %>% pipe
  • 🤹 100% fun

Reference