Side-by-side revenue box plots with color
The New York Stock Exchange firm you previously worked for has contracted you to extend your work building the box plot of company revenues.
They want to understand how different industries compare using this same visualization technique from before. They are also particular about what colors are used for what industries. They have prepared a list of industries and the colors as below.
Your task is to create a box plot of company revenues, as before, but include the specified colors based on the list of industries given below.
There is a revenues DataFrame already loaded for your use.
Industry-color RGB definitions:
- Tech = 124, 250, 120
- Oil = 112,128,144
- Pharmaceuticals = 137, 109, 247
- Professional Services = 255, 0, 0
This exercise is part of the course
Introduction to Data Visualization with Plotly in Python
Exercise instructions
- Create a dictionary mapping each
Industryto its RGB color. - Create a box plot of
revenues, usingRevenueas the y-axis. - Apply your industry color map to the plot.
Hands-on interactive exercise
Have a go at this exercise by completing this sample code.
# Create the industry-color map
ind_color_map = {"Tech": ____, "Oil": ____,
"Pharmaceuticals": ____, "Professional Services": ____}
# Create a box plot
fig = px.____(
# Set the data and y variable
data_frame=____, y="____",
# Set the color map
____=____,
color="Industry")
# Show the plot
fig.show()