University Solutions Hub provides Visual Analytics Week 10 solution
(Visual Analytics).
Week 10: working with models2
load the broom library
- use tidy() on the out dataframe to produce a new dataframe of
component level information. Store the result in out_comp. round all the
columns to two decimal places using round_df().
- Produce a flipped scatter plot of Term v. Estimate
- Produce a new tidy output of out including confidence intervals.
Store it in a variable called out_conf after rounding the dataframe to
two decimals.
- Remove the intercept column and the term continent from the label
and make a plot of points with whiskers to show the coefficients with a
confidence range and order the output from smallest to largest.
- use the head function to see the first six rows after applying the
augment function to out. Store the result in out_aug.
- Add the data back into out_aug with the data = argument.
- plot the .fitted data v. the .resid data
- What does this graph show?
- using the pipe round the output of glance(out)
Note:
Only for knowledge gain and helping to the students(who are facing
difficulties when solving to the Assessments/ Home works) with their
course support.