Extending Excel with Python and R
Unlock the potential of analytics languages for advanced data manipulation and visualization
- 344 pages
- English
- ePUB (mobile friendly)
- Available on iOS & Android
Extending Excel with Python and R
Unlock the potential of analytics languages for advanced data manipulation and visualization
About this book
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.
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Information
Table of contents
- Extending Excel with Python and R
- Contributors
- Preface
- Part 1:The Basics – Reading and Writing Excel Files from R and Python
- 1
- 2
- 3
- 4
- Part 2: Making It Pretty – Formatting, Graphs, and More
- 5
- 6
- 7
- Part 3: EDA, Statistical Analysis, and Time Series Analysis
- 8
- 9
- 10
- Part 4: The Other Way Around – Calling R and Python from Excel
- 11
- Part 5: Data Analysis and Visualization with R and Python for Excel Data – A Case Study
- 12
- Index
- Other Books You May Enjoy