Extending Excel with Python and R: Unlock the potential of analytics languages for advanced data manipulation and visualization - Paperback

by Steven Sanderson (Author), David Kun (Author)

Seamlessly integrate the Python and R programming languages with spreadsheet-based data analysis to maximize productivity

Key Features:

- Perform advanced data analysis and visualization techniques with R and Python on Excel data

- Use exploratory data analysis and pivot table analysis for deeper insights into your data

- Integrate R and Python code directly into Excel using VBA or API endpoints

- Purchase of the print or Kindle book includes a free PDF eBook

Book Description:

- 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.

What You Will Learn:

- Read and write Excel files with R and Python libraries

- Automate Excel tasks with R and Python scripts

- Use R and Python to execute Excel VBA macros

- Format Excel sheets using R and Python packages

- Create graphs with ggplot2 and Matplotlib in Excel

- Analyze Excel data with statistical methods and time series analysis

- Explore various methods to call R and Python functions from Excel

Who this book is for:

- 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.

- The comprehensive approach to the topics covered makes it suitable for both beginners and intermediate learners.

- A basic understanding of Excel, Python, and R is all you need to get started.

Table of Contents

- Reading Excel Spreadsheets

- Writing Excel Spreadsheets

- Executing VBA Code from R and Python

- Automating Further (Email Notifications and More)

- Formatting Your Excel sheet

- Inserting ggplot2/matplotlib Graphs

- Pivot Tables (tidyquant in R and with win32com and pypiwin32 in Python)/Summary Table {gt}

- Exploratory Data Analysis with R and Python

- Statistical Analysis: Linear and Logistic Regression

- Time Series Analysis: Statistics, Plots, and Forecasting

- Calling R/Python Locally from Excel Directly or via an API

- Data Analysis and Visualization with R and Python for Excel Data - A Case Study