Complete the third and fourth chapters in the DataCamp course Introduction to Data Science in Python:
Be sure to use your UWEC email using the link I emailed last week.
Upload a screenshot showing your completion of the “Plotting data with matplotlib” lesson (5 pts.).
Upload a screenshot showing your completion of the “Different types of plots” lesson (5 pts.).
Read in the following dataset using pandas using its commonly accepted alias.
Store it in a variable called torn:
Create a new data frame from the original where values for F_SCALE are
greater than 2. Select only the columns YEAR, F_SCALE, x, and
y (2 pts.).
Create a scatter plot of this new dataset using the coordinates as the x and y values. Add transparency and change the color (2 pts.).
Create a histogram of the new dataset by the column YEAR. Change the number
of bins and the color. Label the x and y axes appropriately (2 pts.).
Create a
jointplot with
seaborn using hexbins of the x and y data of the new dataset. Follow the
example in the link provided (2 pts.).
Read the meuse
dataset as
a pandas dataframe. Select only the variables cadmium, copper, lead
zinc, elev, and dist. Create a
pairplot
of these variables using seaborn (2 pts.).