HMBA/MABS902 – Assignment 1: Hollywood Movie Description and goal In this assignment you will provide data analysis within the context of a business application. The specifications below indicate what...

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HMBA/MABS902 – Assignment 1: Hollywood Movie Description and goal In this assignment you will provide data analysis within the context of a business application. The specifications below indicate what you need to produce, but not how to produce it. MoCo is an organisation investing in movies. Using a multitude of factors, the managers want to 1. Have a better understanding and visualisation of the data through an interactive dashboard 2. Evaluate the potential success or revenues of future movie projects. Use your business analytics skills and SAS Visual Analytics to solve those questions. Data - The HOLLYWOODMOVIEDATASET_IM data set. The data set, available in SAS Viya, was obtained from several movie databases using both automated as well as manual means. It is more than likely that some of the values are captured/entered incorrectly. Hence, the accuracy of the data set cannot be guaranteed. This data set can be used for descriptive and predictive modelling. The data dictionary is provided below. Variable Definition Possible values MovieID A Unique Identifier for the movie. An integer number StarValue_Director; StarValue_Producer StartValue_Cast Signifies the star value of the director, producer and the cast (as per recent past box-office success). An ordinal category from 1 (lowest) to 5 (highest) OriginalScreePlay The movie is based on an original screen play. Yes/No Genre_CAT Specifies the content category CAT the movie belongs to. A movie can be classified in more than one content category (e.g. action and comedy). Therefore, each content category is represented with a separate binary variable. Action, Adventure, Animation, Biography, Comedy, Crime, Drama, Family, Fantasy, History, Mystery, etc. Binary variable (1 = Yes, 0 = No) Competition Indicates the level at which each movie competes for the same pool of entertainment dollars agains movies released at the same time. High, Medium, Low MPAA Rating The rating assigned by the Motion Picture Association of America. G, PG, PG13, R, NR MaxScreenCount Indicate the number of screens the movie is expected to be shown at its debut. An integer number BoxOfficeClass Box-office success category. An integer from 1 (flop) to 9 (blockbuster) – see table below GrossBoxOffice Box-office gross revenue on theatres. An integer number ShortStoryLine A short textual description of the script/story. A few sentences EstimatedBudget Estimated movie budget (this field has values for only a subset of the movies). An integer number MovieLength The number of minutes the movies runs (this field has values for only a subset of the movies). An integer number YEAR Year the movie was released, coded as a measure (numerical) value An integer number YearEnd Year the movie was released, coded as a categorical value. A timestamp SpecialEffect Specifies the amount of special effect in the movie. An ordinal category ranging from 1 (lowest) to 5 (highest) The following table shows the breakpoints/bins used to convert the gross box-office revenues to one of nine success categories Class no 1 2 3 4 5 6 7 8 9 Range (millions $) <1><10><20><40><65><100><150><200>200 Additional information • Regressions can be useful in this context (but you can use other models) • Report (PDF format) to be submitted into the Moodle site before the due date. • An export of your interactive (SAS) dashboard should be attached to your report as well • Due date: 4th of October, before 11:30pm • Maximum 2,500 words (excluding illustrations and appendices). Keep it simple (no need for references and executive summary). • Do not forget to mention your name on the first page • Individual assessment Description and goal Data - The HOLLYWOODMOVIEDATASET_IM data set. Additional information
Answered Same DayOct 03, 2021University of Wollongong

Answer To: HMBA/MABS902 – Assignment 1: Hollywood Movie Description and goal In this assignment you will...

Payal answered on Oct 05 2021
155 Votes
HMBA/MABS902
Hollywood Movie
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1.PURPOSE
In the current report we have been given the Movie dataset which contains information based on the various parameters. Each movie has a distinct MovieId with various other information like Genre of that particular movie, Gross Revenue, Estimated Budget, Box Office Class like whether it is flop or Blockbuster and various other informa
tion that can be used in the analysis to gain better and meaningful insights about the movie dataset.
2. GOAL
The current dataset will be analysed by taking into account various parameters that are related to the particular MovieId, in order to discover and find some useful patterns across various categories of movies that are currently available in the given dataset.
In order to do some analysis on the given Hollywood Movies Dataset, we have to do some transformation in the given structure of the give data, so that the various variables that are present in the data can be used for the analysis in a quite effective and efficient manner. The software or the tool that will be used to run Visual Analytics on the given Hollywood data is Tableau.
Tableau is advanced Business Intelligence tool that is used for visualization of voluminous data in an efficient manner. Moreover, Tableau has the capability of importing data from various types of flat files and the wide variety of databases and the Other Database Connectors (ODCs). Tableau is also capable enough to do data cleaning and transformation of a unstructured dataset. And at the end, by using Tableau, one can build the real time Dashboards that can be integrated with the real time reports.
3. ANALYSIS
We will be exploring the given data, that is Hollywood Movies data from various aspects taking into account various variables that are present in the given dataset. Moreover, as per the requirement, we will also run the regression model on the Hollywood Movies dataset.
3.1 In this section of our analysis we will be exploring the relationship between the Gross Box Office Revenue that is done by the particular movie and the corresponding Box Office Class of that particular movie. In other words, the aim in the current analysis is to help in knowing the fact that whether Higher Box Office Class – that is Blockbuster – 9, for a particular movie also incurs higher Gross Box office revenue collection for that particular movie. In order to the current analysis we have used the Lollipop Chart in our analysis. It is somewhat similar to the Horizontal Bar chart, but the values are clearer, which helps in better interpretations of the particular analysis. Further, as it can be seen from the analysis that the legends or the different colours indicate the Box Office class category of a particular movie, that where it is a Flop movie – 1, or whether it is a Blockbuster that is assigned a value of 9 in the dataset.
Conclusion
As it can be seen from the above analysis that almost all the Blockbuster categories of Movies, that is shown in the Orange colour (Legends)- are the top most in incurring the Gross Box Office Revenue collection in the given data. Therefore, it can be concluded that better the performance of the particular movies is, better will be the Gross box office revenue collection for that particular movie, according to the given dataset- as being concluded from our analysis.
3.2 In this section of our analysis we will be exploring the relationship between the average movie length in minutes of a particular movie and the corresponding Box Office Class of that particular movie. The Box Office Class of any movie represents the public or viewer satisfaction of likes for that particular movie. In other words, the aim in the current analysis is to help in knowing the Viewer’s preferences for the movie in terms of its length. In other words, the current analysis will be dealing about whether the viewers prefer shorter, Medium or longer...
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