datavizpyr, Author at Data Viz with Python and R

10 ChatGPT Prompts for ggplot2 Boxplots: Complete Guide with Working R Code

ggplot2 horizontal boxplot made from ChatGPT prompt's code

Boxplots are one of the most effective ways to summarize data distributions in R, and ggplot2 makes them both powerful and flexible. ggplot2 is the go-to package for making boxplots in R. What’s new is how you can now create them by working with AI tools like ChatGPT. Instead of working alone, now we can… Continue reading 10 ChatGPT Prompts for ggplot2 Boxplots: Complete Guide with Working R Code

AI vs Manual Scatterplots in R: ggplot2 Workflows for the AI Era

Presentation ready scatterplot made using manual expertise with ggplot2

If you’re creating scatterplots in R during 2025, you have likely wrestled with the question: should you let AI write your ggplot2 code, or stick to the tried-and-true manual approach? The answer isn’t as simple as “AI is faster” or “manual is better.” The reality is more nuanced, and the best approach depends on your… Continue reading AI vs Manual Scatterplots in R: ggplot2 Workflows for the AI Era

ggplot2 Boxplot AI Workflows: A Modern Guide

A presentation ready boxplot, made manually with ggplot2

Boxplots in R: Manual, ChatGPT/AI, and Hybrid Approaches in the AI Era If you’re a data analyst or scientist, your workflow in 2025 probably looks a lot different than it did just a few years ago. The buzz around AI coding assistants like GitHub Copilot and large language models like Gemini or ChatGPT isn’t just… Continue reading ggplot2 Boxplot AI Workflows: A Modern Guide

Histograms with Seaborn in Python

Overlapping histogram example with hue argument

If you’ve ever stared at a column of numbers in a dataset and struggled to understand its underlying story, you’re not alone. Raw data tells us little about the bigger picture. This is where the histogram shines. It’s more than just a bar chart; it’s your fastest tool for instantly understanding the shape and story… Continue reading Histograms with Seaborn in Python

How to make UMAP plot in R

UMAP Plot to Identify Potential sample mix-ups

Struggling to visualize and find patterns in high-dimensional data? While PCA and tSNE are common, UMAP has emerged as a powerful, modern technique for dimensionality reduction. This guide will show you not only how to create beautiful UMAP plots in R with ggplot2, but also how to interpret them to uncover meaningful insights in your… Continue reading How to make UMAP plot in R