Extending Excel with Python and R : Unlock the Potential of Analytics Languages for Advanced Data Manipulation and Visualization by Steven Sanderson and David Kun (2024, Trade Paperback)

Great Book Prices Store (341429)

96.7% positive feedback

Price:

$48.91

Free shipping

Estimated delivery Sat, Aug 30 - Sat, Sep 6

Returns:

14 days returns. Buyer pays for return shipping. If you use an eBay shipping label, it will be deducted from your refund amount.

Condition:

Brand New

Extending Excel with Python and R: Unlock the potential of analytics languages for advanced data manipulation and visualization by Sanderson, Steven, ISBN 1804610690, ISBN-13 9781804610695, Brand New, Free shipping in the US

About this product

Product Identifiers

PublisherPackt Publishing, The Limited

ISBN-101804610690

ISBN-139781804610695

eBay Product ID (ePID)19067067314

Product Key Features

LanguageEnglish

Publication NameExtending Excel with Python and R : Unlock the Potential of Analytics Languages for Advanced Data Manipulation and Visualization

Publication Year2024

SubjectData Modeling & Design, Data Visualization, Data Processing

TypeTextbook

AuthorSteven Sanderson, David Kun

Subject AreaComputers

FormatTrade Paperback

Dimensions

Item Length92.5 in

Item Width75 in

Additional Product Features

Intended AudienceTrade

SynopsisSeamlessly 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. ]]>, 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. 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