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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.
In 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.Getting started with rbokeh50 xpHello rbokeh!100 xpTidyverse Refresher (Filter)100 xpTidyverse Refresher (Mutate)100 xpConstructing rbokeh layers (Part 1)50 xpSpecifying Data in rbokeh Layers (Part 1)100 xpSpecifying Data in rbokeh Layers (Part 2)100 xpSpecifying Data in rbokeh Layers 3100 xpConstructing rbokeh layers (Part 2)50 xpOne-Layer Plot (Scatter Plot)100 xpMulti-Layer Plot 1 (Scatter + Line Plot)100 xpMulti-Layer Plot 2 (Scatter + Line Plot)100 xp
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.Plot and mapped attributes (Part 1)50 xpLine and Fill Color 150 xpLine and Fill Color 2100 xpColor Palette100 xpPlot and mapped attributes (Part 2)50 xpSize & Alpha (Scatter Plot) 1100 xpSize & Alpha (Scatter Plot) 2100 xpLine Width100 xpHover info and figure options50 xpHover Info (Part 1)50 xpHover Info (Part 2)100 xpFigure Options100 xp
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.Data formats50 xpWide and Long Data 1100 xpWide and long Data 2100 xpWide and Long Data 3100 xpMore rbokeh layers50 xpScatter Plot + Regression Line (Reshaping Data)100 xpScatter Plot + Regression Line (Scatter Plot)100 xpScatter Plot + Regression Line (Regression Line)100 xpInteraction tools50 xpToolbar Location100 xpInteraction Tools (Hide/View)100 xp
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 tracksInteractive Data Visualization
DatasetsHuman Development Index datasetCorruption Perception Index datasetTuberculosis Cases datasetNew York Citi Bike Trips dataset
PrerequisitesIntroduction to the Tidyverse
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.
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Lloyds Banking Group
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