Extending Excel with Python and R

<p><strong>Seamlessly integrate the Python and R programming languages with spreadsheet-based data analysis to maximize productivity</strong></p><p><strong>Key Features:</strong></p><p>- Perform advanced data analysis and visualization techniques with R and Python on Excel data</p><p>- Use exploratory data analysis and pivot table analysis for deeper insights into your data</p><p>- Integrate R and Python code directly into Excel using VBA or API endpoints</p><p>- Purchase of the print or Kindle book includes a free PDF eBook</p><p><strong>Book Description:</strong></p><p>- 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.</p><p>- 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.</p><p>- Working through the chapters you'll find out how to perform exploratory data analysis time series analysis and even integrate APIs for maximum efficiency.</p><p>- 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.</p><p>- 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. </p><p><strong>What You Will Learn:</strong></p><p>- Read and write Excel files with R and Python libraries</p><p>- Automate Excel tasks with R and Python scripts</p><p>- Use R and Python to execute Excel VBA macros</p><p>- Format Excel sheets using R and Python packages</p><p>- Create graphs with ggplot2 and Matplotlib in Excel</p><p>- Analyze Excel data with statistical methods and time series analysis</p><p>- Explore various methods to call R and Python functions from Excel</p><p><strong>Who this book is for:</strong></p><p>- If you're a data analyst or data scientist or a quants actuaries or data practitioner looking to enhance your Excel skills and expand your data analysis capabilities with R and Python this book is for you.</p><p>- The comprehensive approach to the topics covered makes it suitable for both beginners and intermediate learners.</p><p>- A basic understanding of Excel Python and R is all you need to get started. </p><p><strong>Table of Contents</strong></p><p>- Reading Excel Spreadsheets</p><p>- Writing Excel Spreadsheets</p><p>- Executing VBA Code from R and Python</p><p>- Automating Further (Email Notifications and More)</p><p>- Formatting Your Excel sheet</p><p>- Inserting ggplot2/matplotlib Graphs</p><p>- Pivot Tables (tidyquant in R and with win32com and pypiwin32 in Python)/Summary Table {gt}</p><p>- Exploratory Data Analysis with R and Python</p><p>- Statistical Analysis: Linear and Logistic Regression</p><p>- Time Series Analysis: Statistics Plots and Forecasting</p><p>- Calling R/Python Locally from Excel Directly or via an API</p><p>- Data Analysis and Visualization with R and Python for Excel Data - A Case Study</p>