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For this exercise, your task is to create a scatter plot using the data on music's effects on mental health and customize the marker attributes, including the marker color, size, and shape. Additionally, you will adjust the opacity of the markers to enhance the visualization of point density.

The Plots package has already been imported, and the streaming DataFrame is readily accessible.

This exercise is part of the course

Introduction to Data Visualization with Julia

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Exercise instructions

  • Select the :vibrant theme for your plots.
  • Generate a scatter plot comparing the beats per minute (BPM) shown on the y-axis to the Age variable shown on the x-axis.
  • Customize the markers to have a size of 4, a :purple color, and a :pentagon shape.
  • Adjust the opacity level to 0.5.

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Choose theme
____(____)

# Create scatter plot
scatter(
	streaming.____, streaming.____,
    label=false,
    # Marker attributes
    markersize=____, markercolor=:____,
    markershape=:____,
    # Opacity
    ____=____,
)
xlabel!("Age")
ylabel!("BPM")
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