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Movies Sample PresentationSCM 315 – Business Decision Models.docx
- 1. Movies Sample Presentation SCM315 – 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 byDate 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 byDate 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 Actorsand 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 Actorsand 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 budgetexceeds 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 ratingof 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 byGenre/ 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 theirPG13 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
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- 21. s s 30.0% 12.5% 50.0%37.5% 18.2% 23.1% 12.5% 50.0% 15.4% 8.3% 9.1% Average Yearly Gross 18.2% 33.3% 10.0% 25.0% 30.8% 50.0% 7.7% 7.1% AverageYearly Gross 7.1%50.0% Avg. 3D Percentage Measure Names Avg. Gross Zac Efron $274M Will Smith $179M Vin Diesel $210M Tom Cruise $209M Shia LaBeouf $352M
- 22. Robert pattinson $340M Robert DowneyJr. $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 ChrisEvans $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
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- 43. Thriller/Suspense MPAA Rate Null G PG PG-13 R Module 05Written 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 manufacturercompany’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 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 are classified as "Non- Hispanic."OFFICERARMYO01O02O03O04O05O06O07O08O09 O10TOTALTOTALAMI/ALNHISP2080100100120NON- HISP49561148935910003530.5TOTAL51561228936911003650. 5ASIANHISP1564310000200NON- HISP4735551,3646832548511003,4164.5TOTAL4745601,37068 72578611003,4364.5BLACKHISP2214372312100001090.1NON - HISP1,1441,3053,5062,1611,197450138319,78812.8TOTAL1,1 661,3193,5432,1841,209451138319,89712.9MULTIHISP000000
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- 78. Accountable)Produced in April2010 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 are classified as "Non-Hispanic."OFFICERARMY NATIONAL GUARDO00O01O02O03O04O05O06O07O08O09O10TOTALT OTALAMI/ALNHISP0120100000040NON- HISP02936422516600001540.5TOTAL03038422616600001580. 5ASIANHISP03512000000110NON- HISP0152279254112501511008642.6TOTAL015528425511450 1511008752.6BLACKHISP045103110000240.1NON- HISP044463075945425272141002,6267.9TOTAL044863576945 725373141002,6508MULTIHISP0000000000000NON- HISP0000000000000TOTAL0000000000000P/IHISP000000000 0000NON- HISP0000000000000TOTAL0000000000000WHITEHISP11832 402422161464862001,0843.3NON- HISP63,6985,8147,3795,2543,4641,330131540027,13081.7TOT AL73,8816,0547,6215,4703,6101,378137560028,21484.9UNKH ISP18515919880351630005771.7NON- HISP113923022388421610007402.2TOTAL2224389421168773 240001,3174TOTALHISP22764114513021826592001,7005.1N ON- HISP74,4626,9898,6575,9333,8241,439147560031,51494.9TOT AL94,7387,4009,1086,2354,0061,504156580033,214100MALE AMI/ALNHISP0020000000020NON- HISP02030352313600001270.4TOTAL02032352313600001290. 4ASIANHISP0321100000070NON- HISP012324421091401411007242.2TOTAL0126246211924014 11007312.2BLACKHISP04493110000220.1NON- HISP032245453333919858131001,9185.8TOTAL032645854234
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- 119. 1,16787652924275174,6220.5BLACKHISP02949200000101000 35531562141209526827370.1NON- HISP03707301,1509176191046000641226222321,6511,9475,77 59,2546,8225,0783,2021,16624239,3084.6TOTAL03727391,154 9266211046000651226322321,6862,0005,9319,4686,9425,1733, 2281,17424440,0454.7MULTIHISP00030100000000000462630 30201211240NON- HISP0118613717500000100006145193253294165651361,2350. 1TOTAL0118643718500000100006551219283324185661571,35 90.2P/IHISP010000000000000000461030200260NON- HISP01320352420200000020004565263336217115681571,2470 .1TOTAL01420352420200000020004569269346220115701571, 2730.1WHITEHISP095139189152114330000122510200562532 1,7903,1022,0321,0534991553710,5331.2NON- HISP11,0942,1303,9543,4412,9209684011001663131851253403 ,5903,77311,79718,94814,3309,9626,3772,23768487,08010.1T OTAL11,1892,2694,1433,5933,0341,0014011001783381951273 404,1524,30513,58722,05016,36211,0156,8762,39272197,61311 .4UNKHISP0431071701254219000072065001947249801944748 363110213,8460.4NON- HISP071140236174104380000713410060582105716035122497 8203,1490.4TOTAL011424740629914657000014331060079105 4591,3721,5471,260612188416,9950.8TOTALHISP0142258370 2901595200002146177006226502,2604,2123,1751,9309042776 215,4541.8NON- HISP11,6473,1965,6894,7793,7761,14347120024346126314838 25,6336,15419,16330,93823,44416,53310,2823,617982138,1911 6.1TOTAL11,7893,4546,0595,0693,9351,195471200264507280 1553826,2556,80421,42335,15026,61918,46311,1863,8941,0441 53,64517.9LEGEND:AMI/ALN - AMERICANINDIAN / ALASKAN NATIVEASIANBLACKMULTI - MULTI RACEPI - NATIVE HAWAIIAN / PACIFIC ISLANDERUNK- UNKNOWNWHITESource File - Reserve Master FileProduced by Defense Manpower Data Center - April 2010 &C&P
- 120. SCM 315: VisualizationProject Rubric 1 Background: The purpose of this project is to introduce you to Tableau and its various capabilities. As a group, you are to find your own set of data and you will create five different graphs/dashboards that each relate to the same topic. You will present your work to your lab session as well as submit an annotated PowerPoint presentation that fully details your work. Data Requirements: You are not permitted to use data from: Otherwise, data can come from any source you wish. All graphs and dashboards must relate to a common topic. This topic can be as broad or as narrow as your group wants. For example, you can have a project which focus on only one sports team/season or you can have a project that covers an entire league over multiple years. Common topics include sports, movies, universities, Olympics, demographics, crime statistics, and global economic indicators. You can combine data from
- 121. different sources ifneeded. Visualization Requirements: As a group, you must create five graphs or dashboards. Each graph must ensure the following: has a professional look Each dashboard must ensure the following: Excel graphs legends, etc. and they each have a professional look Across all the graphs, you must ensure the following: interactive component controlled from the dashboard. to make a dashboard) can be of the same type. For example, at most two of the
- 122. standard graphs (notgraphs in the dashboard) can be bar graphs even if you use a basic bar graph in a dashboard somewhere else. ting one graph and changing only one element example, you don’t graph the count of children in each US state, you graph the percentage of children in each US state) blank space on map graphs (for example, if you graph a map of the US, do not zoom out to take a full screenshot of the 48 states, Alaska, and Hawaii. This creates a lot of blank, unused space. Instead, take three separate screenshots). SCM 315: Visualization Project Rubric 2 Presentation Requirements: Your team will provide a 5 minute presentation. You are recommended to use a PowerPoint
- 123. presentation with thefollowing slides: ect/Data description slide(s): Introduce the topic/data graph/dashboard For any interactive graphs/dashboards (e.g. ones which use the “Page” feature or dashboard with a filter which would like to demonstrate), you are allowed to switch from PowerPoint (or similar software) to Tableau when you present to show the interactivity. Therefore, a group member must bring a computer to use during the presentation and they must ensure they can open all files/graphs. One of the most important aspects of the presentation is the 5 minute time limit. We must fit in every presentation (8 to 9) in only one lab session so if you have to cut out some key details (such as an additional conclusion from your graph), that is fine. The grader either will ask during the Q&A session after your presentation if something is unclear or will be able to read it in the ‘Annotated PowerPoint’ (see the next section). IMPORTANT: For either the Presentation or Annotated PowerPoint, do not alter the height/width ratio of figures/graphs/dashboards. Annotated PowerPoint
- 124. Requirements: Starting from thePowerPoint created for the presentation, create the following Annotated PowerPoint. This file will just serve as a hard-copy version of your presentation. It should contain the following (some of which is the same as your presentation PowerPoint). o Explanation of data sources (use citations) o Explanation of information obtained from each data source o Explanation of any data your team excluded from your analysis needed) o Explanation of visual and why you selected that visualization type o Visualization o Observations/conclusions you obtain from that visualization An important aspect of this project is identifying any obvious or easily evident patterns, trends, and conclusions in each graph. If there is anything that stands out which you do not state as a conclusion, points will be deducted. It is highly recommended to be as thorough as possible on the annotated powerpoint.
- 125. SCM 315: VisualizationProject Rubric 3 General Expectations: The project is due by 11:59 PM the day before your Week 6 lab session. The annotated PowerPoint is the only document that will be submitted. Grading will be determined as follows: graded based on its complexity (beyond Excel), its use of proper axis/legends/number formats, its professionalism, and your ability to indicate any obvious conclusions/trends/patterns. Each dashboard will be graded based its use of proper axis/legends/number formats, its professionalism, and your ability to indicate any obvious conclusions/trends/patterns on your ability to stay within the five minute time limit and 25 points. It will be graded based on following the rules/guidelines provided in the “Annotated PowerPoint Requirements” section of the
- 126. rubric. “Visualization Requirements” is worth25 points. Frequently Asked Questions: What are common topics for the project? There are a lot of common topics students use on this project. They include sports, census data, college data, movies, crime statistics, and demographic data. There is no restrictions on the data you can use and there is no limit/requirement on the scope. For instance, you can have an entire presentation on football worldwide or a presentation on one player or match. If you are having trouble thinking of a topic, focus instead on looking up data sources and using your favorite from what you find. Can I ask the TA if this is a good topic? You can ask, but the only criteria for a good topic is whether or not the data exists for that topic. If you think you have enough data, try to make the visualizations. If you can't make 5 which fit all the requirements, try to find more to add to
- 127. your existing dataset. When I make a graph and add labels, why are not all of the labels showing up? Tableau adds labels and tries to fit as many as it can such that the labels do not overlap. You do have some control over this, but I recommend just letting the default options control the displayed labels. Only change it if you really need certain labels to be shown on the visualization. How do I zoom on maps? There are control in the upper left of the screen to zoom in and out of maps. However, these jumps in zoom tend to be quite dramatic. On a PC, you can hold the CTRL key and scroll to have finer control over the zooming. SCM 315: Visualization Project Rubric 4 What are examples of "beyond Excel"?
- 128. Simple bar, line,scatter, and pie charts are not permitted. You have plenty of options to modify your graphs to make it go beyond Excel (adding colors or size differences, making multiple simple graphs into an appropriate dashboard, etc.). Do we have to have one conclusion per visualization or one overall conclusion for the project? You should have at least one conclusion per visualization (see the sample annotated PowerPoint). However, the annotated PowerPoint can contain any conclusions/discussions you would like so long as they are supported by the graph/dashboard. You are encouraged to be thorough to ensure you don’t miss any obvious patterns, trends, and conclusions. How do we share files between group members? To share Tableau files, you have to send the Tableau file (.twb) as well as the data it is based off of. This is either the Excel file (if you chose to "Connect Live") or the Tableau Data Extract(.tde - if you told Tableau to save its own version of the data). How do I get visuals into PowerPoint?
- 129. In the topmenu, there are two drop down menus (one for Worksheets and one for Dashboards). Whichever you are trying to insert into Powerpoint, select the appropriate menu and there is a copy feature. You can then paste this image into PowerPoint for professional images. How can we get feedback on our visualizations? If you want feedback, either come see me in office hours or send screenshots of your visualizations via email. If you send them via email, note I will not go in depth on my feedback. DO NOT send me .twb files via email. I can't open these files unless you send the data as well and I am not going to be opening and analyzing such workbooks via email. Are the annotated PowerPoint and presentation two seperate documents? Yes, your annotated PowerPoint and presentation are two separate files. The annotated PowerPoint should be much longer and text based than the presentation file. The presentation file should simply be one or two introduction slides and then one or more slides per visualization with minimal text.
- 130. SCM 315: VisualizationProject Rubric 5 If we use the page feature, how should we present that in the presentation and annotated PowerPoint? If you use the page feature, you can open Tableau while presenting to show the animation. In your annotated PowerPoint, copy and paste each 'page' into the annotated PowerPoint document. There is not limit to the annotated PowerPoint length so this shouldn't be a problem. If this will make your annotated PowerPoint extremely long, talk with the instructor about how to show the page visualization in the annotated PowerPoint.