Building Interactive Shiny Web Apps with R Programming
What you'll learn
- Understand the two basic components that makes a Shiny App: User Interface and the Server Side.
- Learn how to connect and exchange information between these components.
- Build Interactive Shiny Apps.
- Publish your App on the web for the world to see.
Requirements
- Basic Understanding of R Programming such as variables, functions and R data structures
Description
If this is your first time using Shiny, welcome!
An R program called Shiny makes it simple to build dynamic, rich web applications.
You may use Shiny to take your R work and make it accessible to the public via a web browser.
Shiny makes you appear good by making it simple to
create beautiful web apps with the least amount of effort.
Most R users before found it challenging to create web apps because of the need to understand web technologies such as HTML, CSS, and JavaScript
Complex interactive apps need rigorous interaction flow analysis
to ensure that only the associated outputs update when an input changes.
Shiny makes it much simpler for R programmers to develop web applications by:
supplying a well-selected group of user interface (UI) methods
that provides the HTML, CSS, and JavaScript required for typical jobs
This implies that until you wish to move beyond the fundamentals that Shiny provides for you,
you don't need to be familiar with the specifics of HTML, CSS, or JavaScript.
Shiny enables you to:
Make dashboards that track crucial high-level performance
Switch to interactive apps that let users jump to the precise section of the results they have an interest in.
Use educational visualizations to explain complex models to a non-technical audience.
Who this course is for:
- Data Analyst/Data Scientists who want to use R to showcase their analysis
- Data Analyst/Data Scientists who don't have any knowledge of HTML, CSS and Javascript and want to build a web app
- Students/Researchers
- Beginner R Programmers
Instructor
- 4.2 Instructor Rating
- 38 Reviews
- 2,902 Students
- 6 Courses
In an era where there is a huge and vast amount of data, the need for professionals who can manage and make sense of this data is needed, either by describing, modelling or identifying patterns in data.
As someone who has worked as a freelance Data Scientist for over 5 years in the data industry, I aim to train and educate you on how you can become one of the best data professionals out there either as a Data Analyst, Data Scientist or Machine Learning Engineer.
I graduated with a BSc in Statistics and currently working as a Biostatistician at a public hospital assisting medical researchers in analysing health data. As a technical writer, I have written various articles and have thousands of reads on medium.
I am proficient in Mathematics, Statistics and Programming (R and Python) and have a strong domain knowledge of the health sector.
As a data scientist, my day-to-day activities range from performing exploratory data analysis to building machine learning or deep learning models.
My biggest happiness comes when students benefit from my courses and I hope as you are reading this, you have either enrolled or are about to enroll in one of my courses.
I wish you all the best in your path to becoming a world-class data professional!