Load Packages and Data The R code chunk below will load the tidyverse and tidymodels packages as well as an auto_claims data set.

library(tidyverse)

auto_claims <- read_rds('E:/RDataFiles/auto_claims.rds')

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Write one expression using dplyr functions and the %>% operator to create the summary table below, and arrange it based on the customer state. This table contains the number of claims, maximum claim amount (total_claim_amount variable), and minimum customer lifetime value by customer_state and months_since_last_claim binned into 12 month categories.

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Write one expression using dplyr functions and the %>% operator to create the summary table below. This table contains the average, median, and maximum values of total_claim_amount by vehicle_class

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Use ggplot to create the data visualization below. Please use alpha = 0.25 and color = #006633 within your geom function to match the points below

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Use ggplot to create the data visualization below.Width value is 0.07 and the aplha value is 0.1

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Use ggplot to create the data visualization below. The number of bins in the histogram should be set to 15.

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Use ggplot to create the data visualization below.