Data Science Educational Resources
StrataScratch is a data science educational platform with over 1,000+ real interview questions from your favorite companies.
Visualizations Articles, Tutorials & Interview Questions

How to Make a Boxplot with Matplotlib
Drawing a boxplot in Matplotlib is a valuable skill for visualizing data distribution. You’ll get all the fundamentals and a real-world example in this article.
Nathan Rosidi -

Creating R Programming Histogram for Data Visualization
Step-by-step guide to creating, customizing, and interpreting R programming histograms using real student performance data
Nathan Rosidi -

How to Create a Bubble Plot with Python and Matplotlib?
Learn how to build bubble plots in Python with Matplotlib by visualizing multi-dimensional data using real-world interview datasets.
Nathan Rosidi -

How to Create a Matplotlib Histogram?
A Matplotlib histogram is a common data visualization in data science. Here, you will learn all the fundamentals of creating and customizing histograms.
Nathan Rosidi -

How to Customize Matplotlib Colors for Better Plots?
Customizing Matplotlib colors is more than just choosing your favorite color for a plot. Colors play a crucial role in communicating your data’s message.
Nathan Rosidi -

Getting Started with PlotlyJS: A Beginner's Guide
Learn how to create interactive charts with PlotlyJS in JavaScript—no setup needed, just code directly in your browser.
Nathan Rosidi -

3D Plot using Plotly (with Examples)
Discover how to create dynamic 3D plots with Plotly, using real-world datasets like Rotten Tomatoes movies, and unlock insights across industries.
Nathan Rosidi -

5 Alternatives to Matplotlib That Make Data Visualization a Breeze
If you find Matplotlib leaving a lot to be desired, you’re not the only one. While it’s not a bad library, you might find these five alternatives better for specific uses.
Nathan Rosidi -

Using Visualizations for Your Exploratory Data Analysis
No data science project should skip the exploratory data analysis stage. Enhance it with the five data visualization types we’ll show you in the article.
Nathan Rosidi -