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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.

Cet exercice fait partie du cours

Equity Valuation in R

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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".

Exercice interactif pratique

Essayez cet exercice en complétant cet exemple de 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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