logo

EbookBell.com

Most ebook files are in PDF format, so you can easily read them using various software such as Foxit Reader or directly on the Google Chrome browser.
Some ebook files are released by publishers in other formats such as .awz, .mobi, .epub, .fb2, etc. You may need to install specific software to read these formats on mobile/PC, such as Calibre.

Please read the tutorial at this link:  https://ebookbell.com/faq 


We offer FREE conversion to the popular formats you request; however, this may take some time. Therefore, right after payment, please email us, and we will try to provide the service as quickly as possible.


For some exceptional file formats or broken links (if any), please refrain from opening any disputes. Instead, email us first, and we will try to assist within a maximum of 6 hours.

EbookBell Team

Data Visualization For Social And Policy Research A Stepbystep Approach Using R And Python New Jose Manuel Magallanes Reyes

  • SKU: BELL-50509802
Data Visualization For Social And Policy Research A Stepbystep Approach Using R And Python New Jose Manuel Magallanes Reyes
$ 31.00 $ 45.00 (-31%)

0.0

0 reviews

Data Visualization For Social And Policy Research A Stepbystep Approach Using R And Python New Jose Manuel Magallanes Reyes instant download after payment.

Publisher: Cambridge University Press
File Extension: RAR
File size: 20.7 MB
Pages: 292
Author: Jose Manuel Magallanes Reyes
ISBN: 9781108494335, 1108494331
Language: English
Year: 2022
Edition: New

Product desciption

Data Visualization For Social And Policy Research A Stepbystep Approach Using R And Python New Jose Manuel Magallanes Reyes by Jose Manuel Magallanes Reyes 9781108494335, 1108494331 instant download after payment.

All social and policy researchers need to synthesize data into a visual representation. Producing good visualizations combines creativity and technique. This book teaches the techniques and basics to produce a variety of visualizations, allowing readers to communicate data and analyses in a creative and effective way. Visuals for tables, time series, maps, text, and networks are carefully explained and organized, showing how to choose the right plot for the type of data being analysed and displayed. Examples are drawn from public policy, public safety, education, political tweets, and public health. The presentation proceeds step by step, starting from the basics, in the programming languages R and Python so that readers learn the coding skills while simultaneously becoming familiar with the advantages and disadvantages of each visualization. No prior knowledge of either Python or R is required. Code for all the visualizations are available from the book's website.

Related Products