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Extending Excel with Python and R - by Steven Sanderson & David Kun (Paperback)
About this item
Highlights
- Seamlessly integrate the Python and R programming languages with spreadsheet-based data analysis to maximize productivityKey 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 eBookBook 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.
- Author(s): Steven Sanderson & David Kun
- 344 Pages
- Computers + Internet, Data Visualization
Description
Book Synopsis
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