Bijay Kumar 
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 >>
Radio buttons are essential form elements that allow users to select one option from a group. As a web developer, you’ll often need to retrieve the selected radio button value using jQuery. This comprehensive tutorial will show you multiple methods to get selected radio button values, handle events, and implement best practices. What Are Radio … 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 >>
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