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Building data pipelines in Go

Go

This post will cover essential first steps for building an ETL pipeline in Go, focusing on reading, transforming, and validating data with custom error handling for a robust, maintainable pipeline.

Rewriting R Functions in C

R

C

A guide to using the C API with R to improve performance by rewriting vector operations.

Introduction to partial residual plots

R

Modelling

Visualisation

Partial residual plots can give you valuble information about your model and relationships in the data like interactions and nonlinear trends. In this post we look at use cases and different ways PRP can be created in ggplot.

Correlation Networks in R

R

Visualisation

Plotting correlations as networks can give you a good first impression of the interconnectivity of your variables. This is a quick tutorial on how to create correlation networks in R.

Exploring frequency weights in logistic regression

R

Modelling

Frequency weights can be used in logistic regression to address class imbalance caused by sampling bias. In this post, we will use simulations to explore how to effectively choose weights and visually understand the benefits of this approach.