finelybook
Hands-On Data Visualization with Bokeh: Interactive web plotting for Python using Bokeh
by 作者: Kevin Jolly
ISBN-10 书号: 1789135400
ISBN-13 书号: 9781789135404
Publisher Finelybook 出版日期: 2018-06-15
Pages: 174
Book Description
Adding a layer of interactivity to your plots and converting these plots into applications hold immense value in the field of data science. The standard approach to adding interactivity would be to use paid software such as Tableau,but the Bokeh package in Python offers users a way to create both interactive and visually aesthetic plots for free. This book gets you up to speed with Bokeh - a popular Python library for interactive data visualization.
The book starts out by helping you understand how Bokeh works internally and how you can set up and install the package in your local machine. You then use a real world data set which uses stock data from Kaggle to create interactive and visually stunning plots. You will also learn how to leverage Bokeh using some advanced concepts such as plotting with spatial and geo data. Finally you will use all the concepts that you have learned in the previous chapters to create your very own Bokeh application from scratch.
By the end of the book you will be able to create your very own Bokeh application. You will have gone through a step by step process that starts with understanding what Bokeh actually is and ends with building your very own Bokeh application filled with interactive and visually aesthetic plots.
Contents
1: BOKEH INSTALLATION AND KEY CONCEPTS
2: PLOTTING USING GLYPHS
3: PLOTTING WITH DIFFERENT DATA STRUCTURES
4: USING LAYOUTS FOR EFFECTIVE PRESENTATION
5: USING ANNOTATIONS,WIDGETS,AND VISUAL ATTRIBUTES FOR VISUAL ENHANCEMENT
6: BUILDING AND HOSTING APPLICATIONS USING THE BOKEH SERVER
7: ADVANCED PLOTTING WITH NETWORKS,GEO DATA,WEBGL,AND EXPORTING PLOTS
8: THE BOKEH WORKFLOW – A CASE STUDY
What you will learn
Installing Bokeh and understanding its key concepts
Creating plots using glyphs,the fundamental building blocks of Bokeh
Creating plots using different data structures like NumPy and Pandas
Using layouts and widgets to visually enhance your plots and add a layer of interactivity
Building and hosting applications on the Bokeh server
Creating advanced plots using spatial data
Authors
Kevin Jolly
As a formally educated data scientist with a master’s degree in data science from the prestigious King’s College London,Kevin works as a data scientist with a digital healthcare startup - Connido Limited in London where he is primarily involved with building the descriptive,diagnostic and predictive analytic pipelines.
He is also the founder of LinearData- a leading online resource in the field of data science which has over 30,000 unique website hits.
