Introduction to Data Visualization with Seaborn
Run the hidden code cell below to import the data used in this course.
Add notes about the concepts you've learned and code cells with code you want to keep.
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# Add your code snippets here when assigning a plot to a variable, typical documentation uses "g". example: g= sns.lineplot() type(g) --> would tell you this is an axes subplot FacetGrids are objects that contain one or more axes subplots relplot() and catplot() support subplots because they are FacetGrids, while scatterplot and countplot are axessuplots
Use the DataFrames imported in the first cell to explore the data and practice your skills!
country_data, create a scatter plot to look at the relationship between GDP and Literacy. Use color to segment the data points by region.
mpgto create a line plot with
model_yearon the x-axis and
weighton the y-axis. Create differentiating lines for each country of origin (
- Create a box plot from
student_datato explore the relationship between the number of failures (
failures) and the average final grade (
- Create a bar plot from
surveyto compare how
Lonelinessdiffers across values for
Internet usage. Format it to have two subplots for gender.
- Make sure to add titles and labels to your plots and adjust their format for readability!