Hello friends! I needed to delete a few pages from a PDF, so I created a simple solution using RShiny. This interactive web app allows users to upload a PDF, select pages for removal, and download the modified version effortlessly. In this blog post, we’ll explore how to build a PDF page deletion tool using RShiny and the pdftools and qpdf packages.
Read moreAs 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!! Artificial Intelligence is transforming the way we interact with technology, and OpenAI’s API provides an easy way to integrate AI-driven capabilities into applications. Whether you want to build a chatbot, generate content, analyze sentiment, or process audio, the OpenAI API offers powerful tools to get started.
In this blog post, I’ll walk you through what you can learn while exploring the OpenAI API and how to start using it effectively.
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.
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