David Kun - Böcker

Seamlessly integrate the Python and R programming languages with spreadsheet-based data analysis to maximize productivityKey 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 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. – 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 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 ExcelWho 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.