SQL Window Functions: GROUP BY on Steroids – Without Collapsing Rows

Dive into the power of SQL window functions, a transformative tool for data analysis that enables calculations across related table rows without collapsing them like traditional GROUP BY clauses. These functions, categorized into aggregate (like AVG, MAX, MIN, SUM, COUNT), value (ROW_NUMBER, RANK, DENSE_RANK, PERCENT_RANK, NTILE), and ranking (LAG, LEAD, FIRST_VALUE, LAST_VALUE) types, add calculated…

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Google Colab: Auto Generate Python Code using Google AI inside Colab

This Google Collab tutorial introduces the use of generative AI to streamline Python coding, error identification, and integration with Google services. Learn how to leverage AI to write Python code, automatically identify and fix errors with suggested replacements, connect to Google Drive, import data from Google Sheets into Collab data frames, perform data analysis, generate…

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Power BI: Dealing with Missing Data in Time Series – Using Filters and DAX Query

This tutorial addresses the common problem of missing data in time series visualizations, particularly when dealing with progressive or accumulative data in Power BI. It explains that while missing data points might appear as zeros in standard charts, this can lead to inaccuracies when values represent cumulative totals. The video demonstrates two solutions: first, filtering…

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Save Hours with Power Automate: Automating Multi-File Excel Consolidation

This Power Automate tutorial demonstrates how to automate the consolidation of multiple Excel files containing regional sales data into a single, time-stamped summary file, all triggered by a single button press. The process involves creating variables for file paths, establishing subflows to prepare the consolidated file (including copying, renaming with a date/time stamp, and opening…

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