Movies Sample Presentation
SCM 315 – Business Decision Models
Data
Data for these visualizations are from two sources:
Data comprises all major motion picture releases from 2011 and most of 2012
Box Office Mojo
http://www.boxofficemojo.com/
Contains all movie release data including:
Theaters
Opening gross
Total gross
Any much more …
IMDB
http://www.imdb.com/
Obtained top three billed starts for each film
Google
Obtained ‘Bacon Number’ for each actor (number of movie connections between the actor and Kevin Bacon)
Opening Gross vs. Total Gross
Opening Gross vs. Total Gross
Visualization:
Each data point is a different movie
Each movie is colored based on the MPAA rating of the film
The x-axis denotes the total box office gross of the film
The y-axis denotes the opening weekend box office gross of the film
The trend lines are separate for each MPAA rating
Reasoning:
This graph was created to determine variability between a films opening weekend gross vs. its total gross
They are expected to be correlated, but it will be interesting to see if there are outliers
The movies are color coded by MPAA rating to determine if that has any impact on the correlation
Opening Gross vs. Total Gross
Opening Gross vs. Total Gross
Conclusions:
It is clearly evident that a movie’s total gross is highly correlated with its opening gross (i.e. if it makes more initially it will make more over its life)
Only a small subset of movies make over $100 million in total gross
Due to the higher slope, PG-13 movies tend to make more of its total earning in its opening week/weekend
This is not overly surprising as this is driven by many high profile movies (Avengers, Pirates of the Caribbean, etc.) which are more likely to be seen in the opening week than less high profile movies
It appears that children's movies have the longest lifespans as they tend to make the lowest percentage on their opening weekend
Examples are Puss in Boots, Brave, Kung Fu Panda 2
Average Gross by Date Including 3D Percentages
Average Gross by Date Including 3D Percentages
Visualization:
Each bar represents the count of the number of films released that month (height shown on the left y-axis)
Each bar is colored based on the percentage of releases that month which were in 3D
The line shows the average box office gross per film release during that month (height shown on the right y-axis)
The reference lines show the yearly average box office gross for each film
Reasoning:
This graph was made to primarily observe if summer movies tend to make more
These months tend to have the blockbuster movies
The bars were added to provide clarity on the scale of films released each month
The bars were color coded to see if higher percentage of 3D movies are also released in the summer
Average Gross by Date Including 3D Percentages
Average Gross by Date Including 3D Percentages
Conclusions:
From 2011 to 2012, the average gross per film i ...
Movies Sample PresentationSCM 315 – Business Decision Models.docx
1. Movies Sample Presentation
SCM 315 – Business Decision Models
Data
Data for these visualizations are from two sources:
Data comprises all major motion picture releases from 2011 and
most of 2012
Box Office Mojo
http://www.boxofficemojo.com/
Contains all movie release data including:
Theaters
Opening gross
Total gross
Any much more …
IMDB
http://www.imdb.com/
Obtained top three billed starts for each film
Google
Obtained ‘Bacon Number’ for each actor (number of movie
connections between the actor and Kevin Bacon)
2. Opening Gross vs. Total Gross
Opening Gross vs. Total Gross
Visualization:
Each data point is a different movie
Each movie is colored based on the MPAA rating of the film
The x-axis denotes the total box office gross of the film
The y-axis denotes the opening weekend box office gross of the
film
The trend lines are separate for each MPAA rating
Reasoning:
This graph was created to determine variability between a films
opening weekend gross vs. its total gross
They are expected to be correlated, but it will be interesting to
see if there are outliers
The movies are color coded by MPAA rating to determine if
that has any impact on the correlation
3. Opening Gross vs. Total Gross
Opening Gross vs. Total Gross
Conclusions:
It is clearly evident that a movie’s total gross is highly
correlated with its opening gross (i.e. if it makes more initially
it will make more over its life)
Only a small subset of movies make over $100 million in total
gross
Due to the higher slope, PG-13 movies tend to make more of its
total earning in its opening week/weekend
This is not overly surprising as this is driven by many high
profile movies (Avengers, Pirates of the Caribbean, etc.) which
are more likely to be seen in the opening week than less high
profile movies
It appears that children's movies have the longest lifespans as
they tend to make the lowest percentage on their opening
weekend
Examples are Puss in Boots, Brave, Kung Fu Panda 2
4. Average Gross by Date Including 3D Percentages
Average Gross by Date Including 3D Percentages
Visualization:
Each bar represents the count of the number of films released
that month (height shown on the left y-axis)
Each bar is colored based on the percentage of releases that
month which were in 3D
The line shows the average box office gross per film release
during that month (height shown on the right y-axis)
The reference lines show the yearly average box office gross for
each film
Reasoning:
This graph was made to primarily observe if summer movies
tend to make more
These months tend to have the blockbuster movies
The bars were added to provide clarity on the scale of films
released each month
The bars were color coded to see if higher percentage of 3D
movies are also released in the summer
5. Average Gross by Date Including 3D Percentages
Average Gross by Date Including 3D Percentages
Conclusions:
From 2011 to 2012, the average gross per film increased by $10
million
Typically, the highest average movie grosses take place in the
summer (May, June, and July).
These months also have the highest percentage of 3D releases in
general (coinciding with the big blockbuster action movies)
The summer months also tend to have the lowest number of
releases
This trend is not very consistent, more data would be needed to
see if it holds up
Top 30 Actors and Actresses Based on % Sequels
6. Top 30 Actors and Actresses based on % Sequels
Visualization:
Each bubble is one of the top 30 top-billed actors or actresses
based on the total gross of their movies
The larger the bubble, the more that actors/actresses movies
grossed (as given by the label)
The bubbles are shaded based on the percentage of their movies
which were sequels
Reasoning:
The chart was made to simply observe which actors/actresses
are in the highest grossing movies
The shading was added to observe how frequently the top
grossing actors are tied with franchise movies
Top 30 Actors and Actresses based on % Sequels
7. Top 30 Actors and Actresses based on % Sequels
Conclusions:
You can see the top actors/actresses are all associated with
sequels of various types:
Robert Downey Jr.: Avengers/Iron Man
Christian Bale: Batman
Johnny Depp: Pirates of the Caribbean
Daniel Radcliffe: Harry Potter
Nearly none of the actors/actresses associated with sequels are
women
Women do not appear to earn top billing in franchise films
(minus one outlier of Jennifer Lawrence)
Other than top performers, most of the top 30 are all around the
$200 million
Movie Gross vs. Budget by Movie Type
8. Movie Gross vs. Budget by Movie Type
Visualization:
Each dot on the graph represents a different movie
The x-axis represents the genre of movie
The left y-axis represents the total gross of the movie
A box and whisker plot is overlaid to determine the quartiles for
each genre of movie
The bars represent the median movie budget of that genre of
movie (right y-axis)
Reasoning:
The main reason for this graph is to compare the median budget
to the median gross as well as to compare if this relationship
varies based on the genre
Movie Gross vs. Budget by Movie Type
Movie Gross vs. Budget by Movie Type
Conclusions:
Adventure movies have the highest statistical measures
Highest median, 75% quartile and max
However adventure movies also have the highest median budget
9. The median budget exceeds the median gross implying
adventure movies can be risky
The two riskiest categories (Adventure and Action) also have
the highest earning potential.
Least risky movies are Romantic Comedies and Musicals as
their median budget is less than the 25% quartile of their
overall gross
However the upside of these movies is minimal
Distributors Gross by Genre/Rating and Season Releases
Distributors Gross by Genre/ Rating and Season Releases
Visualization:
This dashboard features two graphs
Graph 1:
Shows total distributor gross as the height of each bar
The bar is split by the genre of the film
Graph 2:
Shows the percentage of movies released during each season
based on genre
Both graphs are controlled by the filter which allows control for
10. the MPAA rating of the movies included in both graphs
Reasoning:
This dashboard will interactively allow for the inspection of
different distributors based on MPAA rating to see if there is a
correlation between different distributors and different types of
movies.
The second graph will permit observations regarding when
different types of movies are released and if they follow
traditional assumptions
Distributors Gross by Genre/ Rating (All) and Season Releases
Distributors Gross by Genre/ Rating (G) and Season Releases
11. Distributors Gross by Genre/ Rating (PG) and Season Releases
Distributors Gross by Genre/ Rating (PG-13) and Season
Releases
Distributors Gross by Genre/ Rating (R) and Season Releases
Distributors Gross by Genre/ Rating and Season Releases
Conclusions:
Overall, the WB was the highest grossing distributor fueled
12. primarily by their PG13 movies
They also have the highest total grossing R movies as well by
are closely matched with Universal
Paramount has the highest grossing PG movies while the WB is
only 6th on the list
PG movies are heavily dominated by Adventure type movies
while R movies are dominated by Comedy movies
There are only a small handful of G movies released every year
In general, Adventure movies (the blockbusters) are released
during the Spring and Summer periods
Drama movies are most prevalent during the Fall and Holiday
seasons which coincide the typical Oscar release dates for films
$0M$50M$100M$150M$200M$250M$300M$350M$400M$450
M$500M$550M$600M$650M
Gross
$0M
$20M
$40M
$60M
$80M
$100M
$120M
$140M
$160M
$180M
$200M
$220M
O
13. p
e
n
i
n
g
G
r
o
s
s
Cars 2
Brave
Dr. Seuss' The Lorax
Kung Fu Panda 2
Puss in Boots
Captain America: The First Avenger
Cowboys & Aliens
Green Lantern
Harry Potter and the Deathly Hallows: Part II
MIB 3
Mission: Impossible - Ghost Protocol
Pirates of the Caribbean: On Stranger Tides
Sherlock Holmes: A Game of Shadows
The Amazing Spider-Man
The Avengers
The Dark Knight Rises
The Help
The Hunger Games
The Twilight Saga: Breaking Dawn, Part 1
Thor
Transformers: Dark of the Moon
Paranormal Activity 3
MPAA Rate
G
22. Robert pattinson
$340M
Robert Downey Jr.
$809M
Ray Romano
$158M
Owen Wilson
$244M
Matt Damon
$214M
Mark Wahlberg
$284M
Kristen Wiig
$169M
Kelly Macdonald
$234M
Jonah Hill
$169M
Johnny Depp
$457M
Jesse Eisenberg
$181M
Jennifer Lawrence
$408M
James McAvoy
$193M
James Franco
$195M
Jack Black
$165M
Emma Stone
$170M
Daniel Radcliffe
$435M
Daniel Craig
$224M
23. Christian Bale
$442M
Chris Hemsworth
$181M
Chris Evans
$177M
Bradley Cooper
$344M
Ben Stiller
$250M
Andrew Garfield
$261M
Adam Sandler
$214M
0.0%100.0%
Avg. Sequel Status
Genre
AdventureActionThriller/SuspenseComedyRomantic
ComedyDramaHorrorMusical
$0M
$100M
$200M
$300M
$400M
$500M
$600M
$700M
G
r
o
s
s
$0M
$100M
$200M
$300M
43. Thriller/Suspense
MPAA Rate
Null
G
PG
PG-13
R
Module 05 Written Assignment - Borrowing to Finance Growth
Here is some additional information to help with your case
study review:
· MorrisAnderson is a turnaround firm that provides company
assessments and creates complete action plans to help move
companies forward. For more information visit their site at:
http://www.morrisanderson.com/.
· EBITDA = is an accounting measure calculated using a
company's net earnings, before interest expenses, taxes,
depreciation and amortization are subtracted, as a proxy for a
company's current operating profitability, i.e., how much profit
it makes with its present assets and its operations on the
products it produces and sells, as well as providing a proxy for
cash flow. (Investopedia)
· SG&A = Selling, General & Administrative Expense -
Reported on the income statement, it is the sum of all direct and
indirect selling expenses and all general and administrative
expenses of a company. (Investopedia)
Write your answers in the space provided for each of the
questions below:
1. Why is it more difficult for healthcare companies to get
expansion financing in the current economic situation?
2. Do you think that the checklist for expansion in the article
would provide an in-depth overview of the company? Which
ones do you think would be the most helpful?
3. Why did the bank require a turnaround firm to review the
44. medical device manufacturer company’s loan request? How did
their EBITDA change from 2011 to 2012? Was this an indicator
that something was wrong?
4. What were some of the positive aspects about the medical
device contract manufacturer company’s desired growth? Why
should they be considered for additional financing?
5. What were the 2 major issues with the Caribbean expansion
the turnaround company found and why do you think they were
brought up?
6. How were they able to finally get the needed financing for
expansion?
7. Why may healthcare companies need to look beyond their
banks to secure financing?
Active DutyDISTRIBUTION OF ACTIVE DUTY SERVICESBY
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the Service member's ethnic affinity code. Mexican, Puerto
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78. Accountable)Produced in April 2010 by Defense Manpower
Data Center
&C&P
ReserveDISTRIBUTION OF SELECTED RESERVISTBY
SERVICE, RANK, SEX, AND RACE-WITH HISPANIC
INDICATOR03/31/2010*Hispanic Indicator is determined from
the Service member's ethnic affinity code. Mexican, Puerto
Rican, Cuban, Latin American with Hispanic descent and Other
Hispanic descent are classified as "Hispanic." All other values
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