Data and Process Visualisation for Graphic by Francesco Bianconi(.PDF)

Posted on by

File Size: 20.1 MB

Data and Process Visualisation for Graphic Communication: A Hands-on Approach with Python by Francesco Bianconi
Requirements: .PDF reader, 20.1 MB
Overview: This book guides the reader through the process of graphic communication with a particular focus on representing data and processes. It considers a variety of common graphic communication scenarios among those that arise most frequently in practical applications. Graphic communication is a form of visual communication that employs images and graphics to convey information, ideas, and messages. It plays a fundamental role in several aspects of our personal and professional lives including education and learning, science and research, brainstorming, and decision-making as well as marketing and branding. This volume aims at guiding the reader through the process of graphic communication with particular focus on representing data and processes. It considers a variety of common graphic communication scenarios among those that arise most frequently in practical applications, e.g., representing magnitudes, proportions, relations, groups, geographical data, timelines, etc. At the time of writing Python is consistently ranked as the most popular programming language in the world. As for data visualization, there are already a number of packages available: Bokeh, HoloViz, Matplotlib, Plotly and Seaborn are just some examples. In writing this book we therefore had to made a choice about which package(s) to consider for the examples presented herein. Then, for each type of chart presented in the book, we proposed the implementation that we thought was the most clear and concise. When there were substantially equivalent solutions, we favored Matplotlib, both due to personal experience and the historical importance of this library.
Genre: Non-Fiction > Tech & Devices

Free Download links:

https://tbit.to/kkht034e8u3b.html

https://katfile.com/psa1fnjj22v7/Data_and_Process_Visualisation_Python.pdf.html