MyShinyApp

It includes my project in R for the exam of the R module from the Coding for Data Science Master course

The idea behind the Shiny App I developed is to give the possibility to visualize some interactive data about a US Superstore Sales dataset. The dataset is composed by 18 columns representing the variables and 9800 rows representing the data.

The main columns analyzed are State, Region, Order Date, Segment and Sales. The goal is to give the user the possibility to interact with three input widgets: the first one allows him/her to choose a specific Segment among three choices, the second to select the Region corresponding to a determined set of US States, and the last one to select the range of dates which corresponds to the period of sales.

A bar chart representing the Aggregate Sales by US State for the selected segment is plotted on the top right part of the page. A line graph representing the Aggregate Regional Sales by Date is plotted on the bottom right part of the page.

A few analytics results are added to the bottom left part of the page in order to support the results displayed by the two plots.

Packages used: shiny, ggplot2, tidyverse, dplyr, extrafont. In case you need to install one of them, please, just run on RStudio the code install.packages(packagename), where packagename corresponds to the name of one of the packages mentioned above.

i.e. One of the package you may need to install is extrafont. After having installed it, to make it effective in Rstudio, run the command font_import(). This will make available a set of fonts already available in other popular programs. To make sure the procedure has been completed, restart RStudio.

To guide you through the application I prepared a few examples.

• By default, the Shiny App will show results about Segment = "Corporate", Region = "Central" and Date Range that goes from "2015-01-03" to "2018-12-30" (the very first and very last dates in the dataset).
• Otherwise, you can select Segment = "Consumer", type in the Region box = "East", and select the Date Range from "2015-01-01" to "2016-01-01".
• Or even Segment = "Home Office", Region = "West", and Date Range from "2017-06-15" to "2018-08-15".

Finally, I invite you to select the input as you better prefer, and to enjoy the app by looking at the results displayed!

Note: to have a neat experience, I suggest you to open the app full page.