1. Course Recap
Congratulations, you've made it to the end of the course! Now you have the skills to take basic components like graphs and tables and turn them into a professional quality dashboard.
2. Resources
There are plenty of great resources to help you refresh and extend what you learned in this course. Conveniently, most of them can be accessed from these two websites.
3. Resources
The first is the main site for the flexdashboard package. It covers everything we talked about with layouts, components, and integrating Shiny. It also includes some less common topics we didn't have time to cover. You can find a gallery of example dashboards for inspiration.
4. Resources
The second site collects information about all the htmlwidgets available in R. This a great place to find widgets that are well suited to your needs. You can learn more about three htmlwidgets we covered in this course on this site -- leaflet, DT, and plotly. If you find plotly does not meet your needs for graphics, I recommend checking out highcharter. It provides an R-based wrapper for the popular javascript Highcharts library, and can be used to create high quality charts with some interactivity included.
5. shinydashboard
If you feel comfortable with Shiny and want to build a dashboard that reacts to user inputs, there at least two options. One we covered in this course -- a flexdashboard with Shiny included. Another option is using the shinydashboard package. This makes it easier to create a dashboard style layout with just Shiny, and does not use flexdashboard or R Markdown. You can learn more about shinydashboard in the DataCamp course "Building Dashboards with shinydashboard".
6. Thank you!
Thank you for taking the time to complete this course. I hope you are able to put what you learned into practice soon! I encourage you to start with a simple dashboard and build on it. Don't underestimate the impact of giving people access to data by putting it in a dashboard. Good luck!