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Extending Excel with Python and R

Extending Excel with Python and R

By : Steven Sanderson, Kun
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Extending Excel with Python and R

Extending Excel with Python and R

5 (5)
By: Steven Sanderson, Kun

Overview of this book

– 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.
Table of Contents (20 chapters)
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1
Part 1:The Basics – Reading and Writing Excel Files from R and Python
6
Part 2: Making It Pretty – Formatting, Graphs, and More
10
Part 3: EDA, Statistical Analysis, and Time Series Analysis
14
Part 4: The Other Way Around – Calling R and Python from Excel
16
Part 5: Data Analysis and Visualization with R and Python for Excel Data – A Case Study

Creating and manipulating Excel sheets using Python

In this section, we will explore how to create and manipulate Excel sheets using Python.

Exporting data to Excel is a common requirement in various data analysis and reporting scenarios. Excel provides a familiar and widely used interface for data visualization, sharing, and further analysis.

We’ll cover various tasks in the sections ahead, including creating new workbooks, adding sheets to existing workbooks, deleting sheets, and manipulating data within an Excel workbook. Python provides several libraries that make these tasks straightforward and efficient. But first, let’s understand why we need to export data to Excel.

Why export data to Excel?

Exporting data to Excel offers several benefits. Firstly, Excel provides a user-friendly environment for data exploration and visualization, allowing users to easily sort, filter, and analyze data. Additionally, Excel’s rich formatting capabilities make...

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