Most of the dashboards / R shiny app are viewed by the people who want to view the underyling data without doing much analysis. While they view the KPI’s , the charts and the tables it would be also an important for them to take the results out of the app for meetings and presenations. One of way doing it is the traditionally downloading the reports. But to make it one step easier they could also be given an option to email these reports....
In this post we see how the no. of breweries stack up against no. of colleges across USA. Here I am using d3js and a grid bar chartwhere each grid represents 5 breweries/colleges.I collected the data for Brewery from Beer Advocate and for colleges from wikipedia <!DOCTYPE html> More Breweries than Colleges Breweries vs Colleges in US = 5 Top 10 States Bottom 10 States College Brewery <script src="https://cdnjs.cloudflare.com/ajax/libs/d3/4.4.4/d3.min.js"></script> <script src="https://cdnjs....
Recently while I was searching for trend data I came across Google Trends. So in the post I am using gtrends, a r package to understand the trends and display it using a R shiny app using the shinymaterial package. The shinymaterial package tends to move away from the traditional shiny dashboard layouts and design. You can use this shiny app from here.
Recently I was searching for some gifts when I stumbled across Sound Viz and Cumberland Coast . These were your favorite songs which were visualized and printed. So that’s when I started looking into on how could you visualize them. So I wanted to try the same and that’s when I came across the r packages tuneR and seewave. Now I knew that I wanted to visualize the song but then I also wanted to see how different are the visualizations for the same song in an original version and the acoustic version....