Movie Profits

Setting up R Packages

library(tidyverse)
library(mosaic)
library(skimr)
library(ggformula)

Plot Theme

Show the Code

# https://stackoverflow.com/questions/74491138/ggplot-custom-fonts-not-working-in-quarto

# Chunk options
knitr::opts_chunk$set(
  fig.width = 7,
  fig.asp = 0.618, # Golden Ratio
  # out.width = "80%",
  fig.align = "center"
)
### Ggplot Theme
### https://rpubs.com/mclaire19/ggplot2-custom-themes

theme_custom <- function() {
  font <- "Roboto Condensed" # assign font family up front

  theme_classic(base_size = 14) %+replace% # replace elements we want to change

    theme(
      panel.grid.minor = element_blank(), # strip minor gridlines
      text = element_text(family = font),
      # text elements
      plot.title = element_text( # title
        family = font, # set font family
        # size = 20,               #set font size
        face = "bold", # bold typeface
        hjust = 0, # left align
        # vjust = 2                #raise slightly
        margin = margin(0, 0, 10, 0)
      ),
      plot.subtitle = element_text( # subtitle
        family = font, # font family
        # size = 14,                #font size
        hjust = 0,
        margin = margin(2, 0, 5, 0)
      ),
      plot.caption = element_text( # caption
        family = font, # font family
        size = 8, # font size
        hjust = 1
      ), # right align

      axis.title = element_text( # axis titles
        family = font, # font family
        size = 10 # font size
      ),
      axis.text = element_text( # axis text
        family = font, # axis family
        size = 8
      ) # font size
    )
}

# Set graph theme
theme_set(new = theme_custom())
#

Introduction

This is a dataset pertaining to movies and genres, modified for ease of analysis and plotting.

Data

Download the Modified data

Data Dictionary

Quantitative Variables

Write in.

Qualitative Variables

Write in.

Observations

Write in.

Plot the Data

`summarise()` has grouped output by 'genre'. You can override using the
`.groups` argument.

Task and Discussion

Complete the Data Dictionary. Create the graph shown and discuss the following questions:

Identify the type of plot
What are the variables used to plot this graph?
If you were to invest in movie production ventures, which are the two best genres that you might decide to invest in?
Which R command might have been used to obtain the separate plots for each distributor?
If the original dataset had BUDGETS and PROFITS in separate columns, what preprocessing might have been done to achieve this plot?