Hello! My name is Susan and I make clear, to-the-point coding videos and guides.

Request a custom video...

Learn more about my background and experience at susanbuck.net.

General inquiries: mail@codewithsusan.com

Get notified when I post new videos by subscribing on YouTube Code with Susan.

Guides

Show all

Web

Laravel PHP VSCode Git Apache Nginx MySQL MariaDB Database YouTube API Herd Vue.js Command Line Composer SSH Server

Data Science

R RStudio jsPsych PsychoPy Python Anaconda

Software

DaVinci Resolve Photoshop Screenflow
R Replace NA values with 0 - Quick tip on replacing NA values with 0 in R using is.na and subsetting.
R Error - Could not find function - Explains what the “could not find function” error in R means and how to fix it.
R for Data Science - Data Transformation (4) - Learn about Data Transformation in R via the book R for Data Science.
R for Data Science - Workflow Basics (3) - Learn the fundamentals of R programming via the book R for Data Science. Covers basic syntax including math calculations, creating objects, writing comments, working with functions, and best practices.
R for Data Science - Data Visualization (2) - Learn the basics of creating data visualizations with ggplot2.
R for Data Science - Introduction (1) - This introduction sets the stage for the goals of R for Data Science: teaching you how to import, tidy, transform, visualize, model, and communicate data.
Exploring and Visualizing Data (R Simplified) - Overview of exploratory data analysis in R including generating visualizations, addressing outliers and looking for correlations.
Reshaping Data Wide / Long Format (R Simplified) - Explanation of wide and long format data and how to convert between the two in R.
Import and Clean Data (R Simplified) - Steps to starting a new RStudio project, importing your data, studying its contents and structure, then cleaning it up and preparing it for analysis.
R / RStudio Sessions - Best Practices for Reproducibility (R Simplified) - Guide to three key components of a R session: the working directory, workspace, and loaded packages. Understanding and managing these elements properly enhances reproducibility, efficiency, and organization.
R Quick Start - This quick start guide will get you up and running with R and RStudio fast.
Simple setup for R in VSCode instead of RStudio (Mac) - How to configure VSCode as a development environment for R, integrating features such as code completion, linting, and syntax highlighting. Offers a more versatile and performance-focussed alternative to R Studio.