Data Visualization: More Specialized Visualizations in Bokeh

IN THIS COURSE

• 1.  Course Overview
  2m 2s
  In this video, you’ll learn more about the course and the instructor. In this course, you’ll see how to use Bokeh to build complex interactive charts. You’ll see how to visualize the relationships that exist in your data using scatter plots. You’ll also see examples of scatter plots where one axis contains categorical data. You’ll learn to make use of Jitter, which will allow you to clearly view individual data points. FREE ACCESS
• 2.  Creating Scatter Plots Using Bokeh
  11m 53s
  In this video, you’ll watch a demo. In this demo, we’ll turn from pie charts to scatter plots. You’ll learn that scatter plots are a great way to explore data, in particular bi-variate data for relationships between two data series. First, you’ll at how scatter plots can be built in Bokeh. Onscreen you’ll see the kinds of visualizations you’ll be building. First, you’ll start with the import statements. FREE ACCESS
• 3.  Visualizing Relationships with Bokeh Scatter Plots
  7m 8s
  In this video, you’ll learn about indexing into a palette object within Bokeh in order to extract a tuple of colors. You’ll learn this palette object is called Pastell, and it's defined inside the bokeh.palettes namespace. You’ll examine the color and see that it has five hex codes. These hex codes are currently in a tuple called colors. You’ll assign them to the different types of car bodies as shown onscreen. FREE ACCESS
• 4.  Customizing Scatter Plots in Bokeh
  6m 48s
  In this video, you’ll watch a demo that picks up where we left off in the last demo. You’ll learn to build one more scatterplot. This one will have the color of each of the points taken from the fueltype of the corresponding car. You’ll see the color column has been repopulated and the code for this is on screen now. FREE ACCESS
• 5.  Visualizing Data Using Bokeh Heatmaps
  10m 8s
  In this video, you’ll watch a demo. In this demo, you’ll learn how to build a Heatmap. You’ll see it onscreen. You’ll see on the y axis, there are different product lines. On the x axis, there are two genders represented in the data set. You’ll see that each of the shaded areas has a color shade, proportional to the total sales for that combination of Gender and Product line. FREE ACCESS
• 6.  Creating Line Charts in Bokeh
  6m 44s
  In this video, you’ll watch a demo. In this demo, you’ll build line charts and area charts. You’ll see an example of a line chart onscreen. You’ll see a date on the x-axis. On the y axis you’ll see a continuous data series. You’ll learn a line chart is great for representing time series data, because it helps to quickly identify a trend. FREE ACCESS
• 7.  Customizing Line Charts with Area Charts in Bokeh
  7m 51s
  In this video, you’ll watch a demo. In this demo, you’ll add on to what you did in the last demo. You’ll start by adding in additional data series for some of the important oil producing regions in the United States. You’ll see the code for this is on the screen now. This time, you’ll have not one but many different invocations of p.line. FREE ACCESS
• 8.  Visualizing Data Using Bokeh Network Charts
  12m 8s
  In this video, you’ll watch a demo. In this demo, you’ll learn how Bokeh can be used to visualize networks. You’ll see a network onscreen, but this network is actually a graph. It's a collection of vertexes and edges which connect those vertexes. You’ll learn how this can be built in Bokeh. Like virtually all Bokeh visualizations, this graph visualization is interactive. FREE ACCESS
• 9.  Course Summary
  2m 42s
  In this video, you’ll summarize what you’ve learned in this course. You’ve learned to use scatter charts for detecting relationships between data series. You also learned the use of network graphs to visualize data structures consisting of edges and nodes. In Bokeh, you learned to easily and effectively visualize data with the information about edges and nodes being read into pandas DataFrames from input files. FREE ACCESS