Bijay Kumar 
Recently, I was working on a Python project where I needed to visualize customer data in three dimensions: sales, profit, and number of orders. The 3D scatter plot looked great, but I wanted to view it from different angles to better understand the data patterns. If you’ve ever used Matplotlib for 3D visualization, you’ve probably … Read more >>
I was working on a data visualization project where I needed to display relationships between three variables, sales, profit, and customer satisfaction, across different U.S. states. While 2D plots are great for many use cases, I wanted to add a third dimension to the visualization to better understand how these variables interact. That’s when I … Read more >>
While working on a 3D data visualization project for a U.S.-based analytics firm, I had to fine-tune the view of a Matplotlib 3D scatter plot to focus on specific data regions. The problem was that the default axis limits didn’t clearly highlight the patterns I wanted to show. That’s when I realized how powerful it … Read more >>
Working on a data visualization project where I needed to show how data points move in 3D space over time. I wanted a smooth 3D scatter animation that could rotate and update dynamically. The challenge was that while Matplotlib makes it easy to plot static 3D graphs, animating them isn’t as straightforward. So, I decided … Read more >>
Recently, I was working on a Python data visualisation project where I needed to create and save a 3D scatter plot for a presentation. The challenge was not just plotting the data in 3D but also saving the figure in a high-quality format that could be reused later. If you’ve ever tried to save a … Read more >>
I was working on a data visualisation project where I had to analyse customer purchase data across different U.S. states. I wanted to represent the data in a 3D scatter plot using Python Matplotlib so that I could easily see the relationship between income, spending, and satisfaction levels. While creating the plot was easy, I … Read more >>
Recently, I was working on a data visualization project where I had to compare multiple 3D scatter plots side by side. Since I often use Python Matplotlib for creating visualizations, I wanted to create 3D scatter subplots to analyze patterns across different datasets. However, when I first tried it, I realized that while creating a … Read more >>
I was working on a Python data visualization project where I needed to plot a 3D scatter chart using Matplotlib. Everything looked great, except for one thing. The axis ticks were cluttered and not very readable. If you’ve ever faced the same issue, you’re not alone. While Matplotlib provides powerful 3D plotting tools, customizing the … Read more >>
While working on a data visualization project for a U.S.-based analytics firm, I needed to display a large 3D dataset in a way that didn’t look cluttered. The challenge was that overlapping points made it hard to see depth and density. That’s when I decided to make the 3D scatter plot transparent using Python Matplotlib. … Read more >>
When I first started working with Python Matplotlib, I was fascinated by how easily it could visualize complex datasets in 2D. But when I discovered the power of 3D plots, it opened a whole new world of possibilities. In this tutorial, I’ll show you how to create a 3D scatter plot with a line and … Read more >>
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