An introductory article about triplot is available here.My previous post introduced a package and presented an example of a global model explanation with a triplot technique. In this post, we will focus on the local triplots and method called predict_a...

Seasons greetings from the R Markdown family! We know many folks are headed into holiday breaks, and we hope you all take time away from work to enjoy…the rest of 2020. If you are like most people, you may be having a hard time keeping up with t...

I was asked to answer questions about how to show skipper’s Vendée Globe race progress, especially when comparing far apart skippers. Vendée Globe official data provide distance to finish, distance to leader and last 24 hours distance traveled. As t...

Hey everyone, This is an EDA project analyzing super store data set and visualizing it. The objective of this project is to analyze and identify trends and patterns in the current retail sales and identify which sector of the market is under loss an...

Series of Azure Databricks posts: Dec 01: What is Azure Databricks Dec 02: How to get started with Azure Databricks Dec 03: Getting to know the workspace and Azure Databricks platform Dec 04: Creating your first Azure Databricks cluster Dec 05: Understanding Azure Databricks cluster architecture, workers,…Read more ›

Dynamic GP: Application to Malaria Vaccine Coverage Prediction This is a peer-reviewed book chapter on Malaria vaccines coverage. Ranjan, P and Harshvardhan, M. (2020), “The Evolution of Dynamic Gaussian Process Mode...

Recently I was looking for a visual representation to show the daily changes of temperature, precipitation and wind in an application xeo81.shinyapps.io/MeteoExtremosGalicia (in Spanish), which led me to use a heatmap in the form of a calendar. The ...

A common way to represent and analyze categorical data is through contingency tables. In this tutorial, we will provide some ... Read moreContingency Tables in R

Luke Zappia's summary of the talk