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Recently, I was working on a data visualization project that required representing customer data from different U.S. states in a 3D scatter plot. I wanted to make the visualization more meaningful by adjusting the marker sizes based on sales volume. That’s when I realized, many people don’t know how to effectively control marker size in a … Read more >>
I was working on a Python project where I needed to visualize a dataset that had three continuous variables, something like sales, profit, and region density across different states in the USA. While 2D scatter plots are great, I wanted to explore the data in a more interactive and visually appealing way. That’s when I … Read more >>
I was working on a data visualization project where I needed to compare multiple categories across different states. I wanted to show how various products contributed to total sales for each state, but vertically stacked bars didn’t fit well on my dashboard. That’s when I decided to create a horizontal stacked bar chart in Matplotlib. … Read more >>
Recently, while working on a Python data visualization project for a U.S.-based retail company, I encountered a frustrating issue. I was trying to create a stacked bar chart using Matplotlib, but the bars didn’t align properly, and sometimes, the totals didn’t add up as expected. If you’ve ever faced similar errors while working with Matplotlib … Read more >>
Working on a data visualization project where I needed to show both positive and negative values in a single stacked bar chart using Python. At first, I thought it would be easy, but I quickly realized that handling negative values in a stacked chart requires a little extra care. In this tutorial, I’ll show you … Read more >>
Recently, I was working on a data visualization project where I needed to create multiple stacked bar charts dynamically using Python. The challenge was that I had dozens of categories, and writing each plt.bar() line manually wasn’t practical. That’s when I realized how powerful a simple for loop in Python could be for automating stacked … Read more >>
Recently, I was working on a Python data visualization project where I needed to display the same dataset on two Y axes in a single Matplotlib chart. At first, I thought this would be a simple task, but I quickly realized that setting up dual Y axes in Matplotlib can be a bit tricky if … Read more >>
I was working on a data visualization project where I needed to show the performance of different product categories across several U.S. regions. I wanted to use a stacked bar chart because it’s an excellent way to display the contribution of each category to the total value. While Matplotlib makes it easy to create bar … Read more >>
When I first started using Matplotlib in Python more than a decade ago, one of the challenges I faced was how to visualize two datasets with different scales on the same chart. For example, I often had to compare U.S. sales revenue and customer satisfaction scores, both important metrics but measured in completely different units. … Read more >>
While working on a data visualization project in Python, I needed to invert the secondary Y-axis in a Matplotlib chart. At first, I thought it would be as simple as flipping the main Y-axis, but I quickly realized the secondary axis behaves differently. In this tutorial, I’ll walk you through how to invert the secondary … Read more >>
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