As businesses face increasing complexities, Artificial Intelligence (AI) is proving to be a game-changer in supply chain management. From improving decision-making to optimizing logistics, AI enhances efficiency, reduces operational costs, and minimizes risks. Let’s explore how AI is transforming supply chain operations and shaping the future of global commerce.
Read moreTechnology is transforming the way we work, shifting talent dynamics, and pushing organizations to adopt new strategies to stay competitive. To help you stay ahead of these changes, we’ve conducted extensive research and identified three overarching themes with 11 key People Analytics trends for 2025. These trends will shape careers, businesses, and workplaces in the years to come. Let’s dive in!
Read moreHello, friends! Today, we’ll explore the performance differences between Polars and Pandas in Python. When working with large datasets, both libraries have their advantages and trade-offs. Recently, I started using Polars for my analysis, and I’d love to share some key differences with you!
Read moreHello Friends!! In previous post we learnt to make Upset plot using R. In this tutorial we’ll learn to make the same using Python.
Understanding relationships between multiple categories in a dataset can be challenging. Venn diagrams are commonly used for small datasets, but they become cluttered and difficult to interpret when dealing with more than three sets.
Enter UpSet plots—a more scalable, structured, and intuitive alternative to visualize set intersections.
In this blog, we will explore how to create UpSet plots in Python using the upsetplot library and apply them to a movie genre dataset to analyze how movies belong to different genres.
Read moreHello Friends!! In the world of data visualization, representing the overlap between multiple sets can be tricky. Traditional methods like Venn diagrams quickly become cluttered when dealing with more than three sets, making it difficult to interpret relationships within the data.
This is where UpSet plots come in—a powerful alternative that provides a structured and scalable way to visualize set intersections.
In this blog, we’ll explore how to create UpSet plots in R using the UpSetR package and apply them to a movie genre dataset to analyze how movies belong to different genres.
Read moreHello friends! If you frequently work with Excel, you know that repetitive tasks can consume a significant amount of time. One such task might be copying the current row of data to the next row. VBA can help automate this process, saving you time and reducing the potential for errors.
Read moreHello friends! I was working on some visualization in d3 and Stack bar chart to bar chart transition using d3. Sample code and working code is uploaded in the GitHub.
Read moreHello friends! I was working on some automation and one part was to merge the PDF files into single file using R. From there I got the idea to create an R Shiny app to merge PDF files. Here I have attached my GitHub repo and R shiny app link.
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