Teaching analytics with modern Excel
Data analysts should be proactive about missing values in their data, as these can significantly impact analysis outcomes. First of all, many algorithms such as linear and logistic regression as well …
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Recently, I encountered a task in Excel where I needed to identify the top N values within each group. Generally, I've found that working with groups in Excel can be less than user-friendly for many …
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Download this post as a PDF: One of the greatest wins for Excel users learning Python is access to a comprehensive suite of data visualization tools. However, compared to Excel, the default plots …
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Monte Carlo simulations leverage probability and randomness to simulate processes multiple times, exploring a wide range of possible outcomes. This approach can illuminate the inherent uncertainty and …
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Just like in biology, where cells are the building blocks of life, in your Excel workbook, cells serve as the foundational elements. In this post, you'll discover how to interact with individual cells …
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Working with Python code becomes significantly more manageable when objects are assigned clear, sensible names, and Excel is no different. This blog post covers how to create named ranges and tables …
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