Building Data Tools in Shiny
February 24, 2024
Online
Sarfaraz Jamal
Sarfaraz is a data analyst with a keen interest in leveraging R's robust data visualization capabilities. He specializes in extracting and analyzing data from various web sources to derive actionable insights. With a background in economics and mathematics, he possesses a solid foundation in quantitative analysis and statistical modeling, which he applies to uncover patterns and trends within datasets.
He is equipped me with a strong analytical mindset and proficiency in handling complex datasets. His passion about exploring innovative ways to visualize data effectively, utilizing R's extensive toolkit to create compelling and interactive visualizations that facilitate data-driven decision-making makes him ideal for any data team.
Schedule:
8.00 pm Speaker Introduction
8.05 pm Presentation
8.35 pm Q/A
About the Talk:
In our upcoming talk, Sarfaraz will be showcasing a Shiny app that highlights the powerful capabilities of data inputting and visualization in Shiny Application.
The app is designed to provide users with an intuitive interface for both inputting data and exploring it through various visualization tools. He will walk the audience through the process of how to interact with the app, demonstrating how easy it is to input different types of data, ranging from simple numeric values to more complex datasets.
The talk aims to showcase the versatility and effectiveness of Shiny apps in facilitating data exploration and analysis, empowering users to leverage their data effectively for decision-making purposes.
Together, we can bring your next major project to life.
Book a slot today & let Stat Devs specialists guide you.
