Interactive Data Visualization with rbokeh
Learn rbokeh: a visualization library for interactive web-based plots.
Start Course for Free4 Hours12 Videos47 Exercises2,291 Learners
4000 XPCreate Your Free Account
or
By continuing you accept the Terms of Use and Privacy Policy. You also accept that you are aware that your data will be stored outside of the EU and that you are above the age of 16.Loved by learners at thousands of companies
Course Description
Data visualization is an integral part of the data analysis process. This course will get you introduced to rbokeh: a visualization library for interactive web-based plots. You will learn how to use rbokeh layers and options to create effective visualizations that carry your message and emphasize your ideas. We will focus on the two main pieces of data visualization: wrangling data in the appropriate format as well as employing the appropriate visualization tools, charts and options from rbokeh.
- 1
rbokeh Introduction
FreeIn this chapter we get introduced to rbokeh layers. You will learn how to specify data and arguments to create the desired plot and how to combine multiple layers in one figure. - 2
rbokeh Aesthetic Attributes and Figure Options
In this chapter you will learn how to customize your rbokeh figures using aesthetic attributes and figure options. You will see how aesthetic attributes such as color, transparancy and shape can serve a purpose and add more info to your visualizations. In addition, you will learn how to activate the tooltip and specify the hover info in your figures. - 3
Data Manipulation for Visualization and More rbokeh Layers
In this chapter, you will learn how to put your data in the right format to fit the desired figure. And how to transform between the wide and long formats. You will also see how to combine normal layers with regression lines. In addition you will learn how to customize the interaction tools that appear with each figure. - 4
Grid Plots and Maps
In this chapter you will learn how to combine multiple plots in one layout using grid plots. In addition, you will learn how to create interactive maps.
In the following tracks
Interactive Data VisualizationDatasets
Human Development Index datasetCorruption Perception Index datasetTuberculosis Cases datasetNew York Citi Bike Trips dataset
David Campos
Shon InouyePrerequisites
Introduction to the Tidyverse
Omayma Said
Data Scientist
Omayma Said is currently a Data Scientist at Basharsoft. She enjoys working in data-informed environments where good data analysis can drive decisions, support building products, create a value, help in improving the quality of research and more. She has a background in electronics engineering, and holds a master's degree in Systems Engineering and Engineering Management. Her professional experience includes IT management, telecommunications and R&D in research centers, startups and multi-national organizations such as Vodafone, Orange Business Services, Procter & Gamble.
What do other learners have to say?
“I've used other sites—Coursera, Udacity, things like that—but DataCamp's been the one that I've stuck with.”
Devon Edwards Joseph
Lloyds Banking Group
“DataCamp is the top resource I recommend for learning data science.”
Louis Maiden
Harvard Business School
“DataCamp is by far my favorite website to learn from.”
Ronald Bowers
Decision Science Analytics, USAA
Join over 7 million learners and start Interactive Data Visualization with rbokeh today!
Create Your Free Account
or
By continuing you accept the Terms of Use and Privacy Policy. You also accept that you are aware that your data will be stored outside of the EU and that you are above the age of 16.