– Extending Excel with Python and R is a game changer resource written by experts Steven Sanderson, the author of the healthyverse suite of R packages, and David Kun, co-founder of Functional Analytics.

– This comprehensive guide transforms the way you work with spreadsheet-based data by integrating Python and R with Excel to automate tasks, execute statistical analysis, and create powerful visualizations.

– Working through the chapters, you’ll find out how to perform exploratory data analysis, time series analysis, and even integrate APIs for maximum efficiency.

– Both beginners and experts will get everything you need to unlock Excel's full potential and take your data analysis skills to the next level.

– By the end of this book, you’ll be able to import data from Excel, manipulate it in R or Python, and perform the data analysis tasks in your preferred framework while pushing the results back to Excel for sharing with others as needed.

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Spis treści

Extending Excel with Python and R. Unlock the potential of analytics languages for advanced data manipulation and visualization eBook -- spis treści

• 1. Reading Excel Spreadsheets
• 2. Writing Excel Spreadsheets
• 3. Executing VBA Code from R and Python
• 4. Automating Further (Email Notifications and More)
• 5. Formatting Your Excel sheet
• 6. Inserting ggplot2/matplotlib Graphs
• 7. Pivot Tables (tidyquant in R and with win32com and pypiwin32 in Python)/Summary Table {gt}
• 8. Exploratory Data Analysis with R and Python
• 9. Statistical Analysis: Linear and Logistic Regression
• 10. Time Series Analysis: Statistics, Plots, and Forecasting
• 11. Calling R/Python Locally from Excel Directly or via an API
• 12. Data Analysis and Visualization with R and Python for Excel Data – A Case Study