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BADM 371 Intro to Data Analytics

25 Diamonds Practice

25.1 Use the diamonds data set found in the ggplot2 package to answer these questions. You may want to review the data before starting using the help options.

  1. How many diamonds in this set have a cut considered ideal?
#> # A tibble: 1 × 1
#>       n
#>   <int>
#> 1 21551
  1. How many diamonds in this set have a cut considered ideal and have a color of E?
#> # A tibble: 1 × 1
#>       n
#>   <int>
#> 1  3903
    1. How many diamonds in this set have a cut considered ideal and have a color of E or D?
#> # A tibble: 1 × 1
#>       n
#>   <int>
#> 1  6737
  1. Organize the average price by cut in descending order.
#> # A tibble: 5 × 2
#>   cut        mean
#>   <ord>     <dbl>
#> 1 Premium   4584.
#> 2 Fair      4359.
#> 3 Very Good 3982.
#> 4 Good      3929.
#> 5 Ideal     3458.
  1. Determine the average price and standard deviation for ideal cut diamonds.
#> # A tibble: 1 × 2
#>    mean std_dev
#>   <dbl>   <dbl>
#> 1 3458.   3808.
  1. Organize the average price by cut and color in descending order.
#> # A tibble: 35 × 3
#> # Groups:   cut [5]
#>    cut       color price
#>    <ord>     <ord> <dbl>
#>  1 Premium   J     6295.
#>  2 Premium   I     5946.
#>  3 Very Good I     5256.
#>  4 Premium   H     5217.
#>  5 Fair      H     5136.
#>  6 Very Good J     5104.
#>  7 Good      I     5079.
#>  8 Fair      J     4976.
#>  9 Ideal     J     4918.
#> 10 Fair      I     4685.
#> # … with 25 more rows
  1. Use ggplot2 to make a plot similar to this:
    1. Use ggplot2 to make a plot similar to this:
  1. Predict price of a 2.3 carat diamond with a table of 70 and a depth of 55.
#> [1] 15447.52
  1. In descending order, how many diamonds are there of each clarity?
#> # A tibble: 8 × 2
#>   clarity     n
#>   <ord>   <int>
#> 1 SI1     13065
#> 2 VS2     12258
#> 3 SI2      9194
#> 4 VS1      8171
#> 5 VVS2     5066
#> 6 VVS1     3655
#> 7 IF       1790
#> 8 I1        741