Python and Dash vs. R and Shiny Developing dashboards is no small task. You have to think about a vast amount of technical details and at the same time build something easy and enjoyable to use. Let’s say you have those areas covered. The question remains – which technology should ...

With most computers now having many cores, parallelising your R code is a great way to reduce processing time, and there are lots of packages to help. But if you … Continue reading →

If you are using Yihui Xie's bookdown package, it is quite easy to add authors and affiliations for HTML output. You only need to put the following pandoc options in the header of index.Rmd. author: - name: John Doe email: … Continue reading →

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 ›

While help is still on the way, it is still important to track a country’s progress to recover from the COVID-19 pandemic. But the lack of single platform providing the necessary data in Indonesia poses a challenge to do just that. The relevant data, such as consumer confidence and ...

I had the great pleasure to talk about NLP at R-Ladies Bergen yesterday. Thanks to everyone for making this event so much fun! The talk covers both unsupervised and supervised approaches and introduces you to quanteda, an R package that allows you to p...

Version 1.0.1 of our validate package has arrived on CRAN on 2020-12-08. At the same time, a complete Data Validation Cookbook has been published online, and is also included with the package as a vignette. The new features of validate … Continue reading →

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 ›

Introduction In light of starting my YouTube channel (shameless plug, I know) on working on a series of Exploring data with R I thought I would write some blogs about it and share my experiences. Often when I’m asked what my go-to language is for data science, my response ...

This article is part of a R-Tips Weekly, a weekly video tutorial that shows you step-by-step how to do common R coding tasks. If you are explaining data related to geography or just want to visualize by latitude / longitude location, you need to kno...

Model Performance Metrics Lending Data Example Starter Code Weighting by Classification Outcomes Metrics Across Decision Thresholds Weighting by Observations Closing note Appendix Weights of Observations During and Prior to Modeling Notes on Cost Sensitive Classification Weighted Classification Metrics Questions on Cost Sensitive Classification Arriving at Weights Weighting in predictive modeling ...

The tutorial is based on R and StatsNotebook, a graphical interface for R. Outliers and violations of distributional assumptions are common in many area of research. These issues might introduce substantial bias in the analysis and potentially lead to ...