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Analyze Revenue Trends - Bar Chart

One of the simplest but often neglected approaches to check the data is through visual inspection. In this exercise, you will create a bar chart of the revenue projections. Currently, the data is stored into two vectors, hist_rev (historical data) and rev_proj (projected data). We do this so that we can format the bar chart to make clear the distinction between actual revenues versus forecasted revenues.

This exercise is part of the course

Equity Valuation in R

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Exercise instructions

  • Use rbind() to combine the vectors hist_rev and rev_proj and assign it to rev_split.
  • Rename column headers of rev_split from 2009 to 2021.
  • Create a bar chart of the data in rev_split, color the bars red and blue, and add the title "Historical vs. Projected Revenues".

Hands-on interactive exercise

Have a go at this exercise by completing this sample code.

# Combine hist_rev and rev_proj
rev_split <- ___(hist_rev, rev_proj)

# Rename the column headers
___(rev_split) <- seq(2009, 2021, 1)

# Create a bar plot of the data
barplot(rev_split,
        col = c("___", "___"),
        main = "___")
legend("topleft",
       legend = c("Historical", "Projected"),
       fill = c("red", "blue"))
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