Advanced Data Visualization Solutions [Video]

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Advanced Data Visualization Solutions [Video]

Mohammed Topiwalla
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Holistic solutions to visualization problems you can implement in any other visualization tool!
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Video Details

ISBN 139781788838269
Course Length1 hours and 38 minutes

Video Description

With businesses understanding and valuing their data more and more these days, their requirements turn complex one step at a time, which may lead to several roadblocks when plotting those visualizations. These minor blocks can be frustrating as there are little or no solutions available online.

After finishing this course, you’ll be able to easily maneuver through common issues. We’ll also go through some complex problems you may face, so you are always prepared with a solution for visualization at work. We’ll cover problems and solutions in Tableau (the best visualization tool as ranked by the Gartner report 2017). In this course, our aim is to provide a solution to the visualization problem so that you can implement if needed in any other visualization tool too.

Style and Approach

This is a comprehensive course that covers complex visualization problems and functionalities that existing visualization tools like Tableau and R can offer. This course is divided into clear chunks, so you can learn at your own pace and focus on your own area of interest.

Table of Contents

Steps to Make an Exceptional Visualization
The Course Overview
Being Specific with the Data You Need
Let’s Find Mistakes to Not Make Them
Presentation Ready Dashboards
Empowering Our Audience
Perform Various Calculations and Forecasts in Tableau
Creating Sets
Creating Parameters
Creating Calculated Fields
Example of Top 10 with Ranks
Creating Time Series and Adding Forecasting Models
Develop Your R Shiny App GUI
Understand What We Need to Build
Finalizing GUI and What We Will Display
Creating an R Shiny GUI Dashboard that You Can Reuse Easily Elsewhere
Develop Your R Shiny App Server Coding
Handling Data
Passing Data to Functions
Creating a Model and Passing Output to R Shiny GUI
Overview and Summary
Mini Project

What You Will Learn

  • Build apps in popular R packages such as Shiny
  • Get industry best practices for data visualization
  • Get comfortable with performing calculations in your visualization
  • Overcome common problems with loading data and maintaining live connections
  • Deploy your machine learning visualization outputs directly to a web page
  • Understand the importance of placement and sorting of graphs 
  • Perform complex calculations in the visualization itself
  • Implement forecasting capabilities from the visualization platform itself
  • Optimize visualizations to get a faster load

Authors

Table of Contents

Steps to Make an Exceptional Visualization
The Course Overview
Being Specific with the Data You Need
Let’s Find Mistakes to Not Make Them
Presentation Ready Dashboards
Empowering Our Audience
Perform Various Calculations and Forecasts in Tableau
Creating Sets
Creating Parameters
Creating Calculated Fields
Example of Top 10 with Ranks
Creating Time Series and Adding Forecasting Models
Develop Your R Shiny App GUI
Understand What We Need to Build
Finalizing GUI and What We Will Display
Creating an R Shiny GUI Dashboard that You Can Reuse Easily Elsewhere
Develop Your R Shiny App Server Coding
Handling Data
Passing Data to Functions
Creating a Model and Passing Output to R Shiny GUI
Overview and Summary
Mini Project

Video Details

ISBN 139781788838269
Course Length1 hours and 38 minutes
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