Category: R language
10 Best Practices for Effective Data Visualization: Simplicity
updated March 8th, 2023 This is a long read on best practices in data visualisation, which will be periodically updated. I will try to supplement each post with R code examples. List of best practices: Firstly, first and firstmost:) Keep it simple Why Keeping Charts Simple is Critical for Effective Data Visualization…
“Naked” barplots conceal data distribution
Barplots with standard error of means error bars can conceal true data distribution.
How to parallelize for loops in R
Updated Feb 26th, 2023. Introduction to Parallel Computing in R. Parallel computing is a technique that enables us to tackle large computational tasks by dividing them into smaller, manageable subtasks and executing them simultaneously…
Data detrending in R
What is data detrending updated 26th Feb, 2023. Detrending is a technique that serves as a powerful tool in the arsenal of the time series analyst, enabling us to remove the trend component of a signal and reveal the underlying patterns…
Combine Scatter Plots With Bar Plots or Box Charts.
If you do not want work with R directly try my scatter plot with bar maker – the versatile R-language-based data visualisation website, combining scatter- or dot-plots with bar charts, box- and violin plots…