Extending Excel with Python and R

Unlock the potential of analytics languages for advanced data manipulation and visualization

von David Kun, Steven Sanderson

344 Seiten, Taschenbuch

Kurzbeschreibung des Verlags

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.- 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 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. 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

• Themen: Informatik und Informationstechnologie Datenbanken / Datenmanagement Datenerfassung und -analyse
• ISBN: 9781804610695
• Sprache: Englisch
• Erscheinungsdatum: 30.04.2024
• Größe: 235 x 191 mm
• Verlag: Packt Publishing