Saraswathi Analytics provides Visual Analytics Week 10 solution (Visual Analytics - 202051 - CRN140).

The broom Package

  1. load the broom library
  2. use tidy() on the out dataframe to produce a new dataframe of component level information. Store the result in out_comp.
  3. round all the columns to two decimal places using round_df().
  4. Produce a flipped scatter plot of Term v. Estimate
  5. 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.
  6. 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.
  7. use the head function to see the first six rows after applying the augment function to out. Store the result in out_aug.
  8. Add the data back into out_aug with the data = argument.
  9. plot the .fitted data v. the .resid data
  10. What does this graph show?
  11. using the pipe round the output of glance(out)

Submit a Word document by Sunday at midnight with screen shots of your work and text. Explain what each image is.

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.

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