Extending Excel with Python and R: Unlock the potential of analytics languages for advanced data manipulation and visualization
by: Steven Sanderson (Author),David Kun(Author)
Publisher:Packt Publishing
Edition:1st
Publication Date: 30 April 2024
Language:English
Print Length:344 pages
ISBN-10:1804610690
ISBN-13:9781804610695
Book Description
Seamlessly integrate the Python and R programming languages with spreadsheet-based data analysis to maximize productivity
Key FeaturesPerform advanced data analysis and visualization techniques with R and Python on Excel dataUse exploratory data analysis and pivot table analysis for deeper insights into your dataIntegrate R and Python code directly into Excel using VBA or API endpointsPurchase of the print or Kindle book includes a free PDF eBook
Book DescriptionFor businesses, data analysis and visualization are crucial for informed decision-making; however, Excel's limitations can make these tasks time-consuming and challenging. 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, the company behind the ownR platform engineering solution for R, Python, and other data science languages.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. Whether you're a beginner or an expert, this book has 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 learnRead and write Excel files with R and Python librariesAutomate Excel tasks with R and Python scriptsUse R and Python to execute Excel VBA macrosFormat Excel sheets using R and Python packagesCreate graphs with ggplot2 and Matplotlib in ExcelAnalyze Excel data with statistical methods and time series analysisExplore various methods to call R and Python functions from Excel
Who this book is forIf 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. It provides a comprehensive introduction to the topics covered, making 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 contentsReading Excel SpreadsheetsWriting Excel SpreadsheetsExecuting VBA Code from R and PythonAutomating Further (Email Notifications and More)Formatting Your Excel sheetInserting ggplot2/matplotlib GraphsPivot Tables (tidyquant in R and with win32com and pypiwin32 in Python)/Summary Table {gt}Exploratory Data Analysis with R and PythonStatistical Analysis: Linear and Logistic RegressionTime Series Analysis: Statistics, Plots, and ForecastingCalling R/Python Locally from Excel Directly or via an APIData Analysis and Visualization with R and Python for Excel Data - A Case Study
About the Author
About the Author Steven Sanderson has been working in healthcare for almost 20 years with a focus in the last 12 years on analytics. Steve has spent those years working on dashboards, automations, and visualizations for clinical, finance and IT operations. Steven is also the author of the healthyverse suite of R packages which are in active development. Steven received his MPH from Stony Brook University School of Medicine Graduate Program in Public Health.David Kun is the co-founder of Functional Analytics, the company behind the ownR platform engineering solution for R, Python and other data science languages. He is a qualified Actuary with two MSc's concentrated on Mathematics. He has been using R since his MSc thesis in 2006 and Python since 2018
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