Python-bloggers

If you’ve ever spent time manually grouping data into custom ranges or bins in Excel, you know it can get tedious fast. Whether it’s categorizing sales by price tiers, analyzing customer segments, or bucketing data for visualization, Excel often requires multiple nested formulas, helper columns, and PivotTables. Fortunately, ...

In an era defined by rapid technological evolution and unprecedented workplace changes, modern teams are facing complex challenges that traditional project management tools alone can no longer solve. Once considered sufficient for organizing timelines, assigning tasks, and tracking milestones, these conventional systems now fall short in addressing the dynamic needs ...

Sampling rows from a table is common for analyzing subsets of large datasets, enabling quicker insights or testing without processing the entire dataset. In Excel, this is difficult because it lacks built-in random sampling functions, requiring complex formulas or manual steps that are time-consuming and error-prone for large tables. In ...

In this post, we show how different use cases require different model diagnostics. In short, we compare (statistical) inference and prediction. As an example, we use a simple linear model for the Munich rent index dataset, which was kindly provided by the authors of Regression – Models, Methods and Applications 2nd ...

SOV plays a crucial role in determining market leaders and underdogs. Share of Voice (SOV) shows how much attention a brand gets compared to its competitors. This metric helps track a brand’s visibility on social media and other digital channels. SOV in marketing goes beyond counting brand mentions. It ...

Accounting is an undeniably crucial area of business, yet it’s a sideline that the people in charge often forget. While company leaders take care of business on the ground, they’re typically happy to either outsource accounting focuses, or leave in-house teams stuck with outdated processes. The result? High ...

At Jumping Rivers we love data dashboards and are delighted to announce the release of a gallery to showcase our application-development skills. Tools like Shiny, Dash, Streamlit and Observable have simplified the process of making interactive, v...

In the third and final installment of the Up and Running with JAX series, we demonstrate the remaining steps required to train and evaluate a simple neural network, specifically the implementation of the loss function, backward pass and training...

ShinyConf 2025 is almost here! From April 9 to 11, thousands of data scientists, developers, and Shiny fans will come together online to share ideas, build skills, and connect. Whether you’re joining for the workshops, the talks, the networking, or all of it, this post will walk you through how to get ...