Final Exam: Data Visualization with Python

Data Visualization    |    Intermediate
  • 1 Video | 10m 32s
  • Includes Assessment
  • Earns a Badge
Final Exam: Data Visualization with Python will test your knowledge and application of the topics presented throughout the Data Visualization with Python track of the Skillsoft Aspire Data Visualization Journey.

WHAT YOU WILL LEARN

  • create a Bokeh chart and save it as an html page and an image
    create a figure object with multiple axes objects and create line charts in the axes
    create exploded pie charts and treemaps
    create maps to visualize geographical data
    create various basic line charts visualizing random data using Matplotlib and pyplot
    display your visualization inline in a Jupyter notebook
    explore Matplotlib interactive back ends
    implement a scatter plot
    install and import Plotly using Jupyter notebooks
    install Matplotlib and explore Matplotlib interactive back ends
  • interpret relationships using scatter plots
    use Jupyter notebooks to install and import Bokeh
    use Jupyter notebooks to install and import Plotly
    use Matplotlib to create exploded pie charts and treemaps
    use Matplotlib to create filled box-and-whisker plots
    use Matplotlib to visualize the relationship between two continuous variables using scatter plots
    use sunburst charts
    visualize a trend of a variable over time using a line chart
    visualize hierarchical categories using sunburst charts
    visualize statistical data using box-and-whisker plots

IN THIS COURSE

  • Playable
    1. 
    Data Visualization with Python
    33s
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