Sanderson / Kun | Extending Excel with Python and R | E-Book | sack.de
E-Book

E-Book, Englisch, 344 Seiten

Sanderson / Kun Extending Excel with Python and R

Unlock the potential of analytics languages for advanced data manipulation and visualization
1. Auflage 2024
ISBN: 978-1-80461-554-6
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection

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

E-Book, Englisch, 344 Seiten

ISBN: 978-1-80461-554-6
Verlag: De Gruyter
Format: EPUB
Kopierschutz: 0 - No protection



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Weitere Infos & Material


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


Sanderson Steven:

Steven Sanderson, MPH, is an applications manager for the patient accounts department at Stony Brook Medicine. He received his bachelor's degree in economics and his master's in public health from Stony Brook University. He has worked in healthcare in some capacity for just shy of 20 years. He is the author and maintainer of the healthyverse set of R packages. He likes to read material related to social and labor economics and has recently turned his efforts back to his guitar with the hope that his kids will follow suit as a hobby they can enjoy together.Kun David:

David Kun is a mathematician and actuary who has always worked in the gray zone between quantitative teams and ICT, aiming to build a bridge. He is a co-founder and director of Functional Analytics and the creator of the ownR Infinity platform. As a data scientist, he also uses ownR for his daily work. His projects include time series analysis for demand forecasting, computer vision for design automation, and visualization.



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