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UBC-MDS / DSCI_532_group_205

Movies Dashboard (Python)
MIT License
1 stars 4 forks source link

Proposal, sections 2 and 3 #3

Closed techrah closed 4 years ago

techrah commented 4 years ago
fkhan72 commented 4 years ago

I am pasting here my version of section 2 as I worked on it earlier. Ryan, feel free to combine the two versions

The dataset contains the record of around 3200 movies. For each movie, we have different types of information available, starting from basic information (Title, Major_Genre, Release_Date, Running_Time_min, Director) to some miscellaneous data (Distributor, Creative_Type, Source). The data also includes the cost and revenue (US_Gross, Worldwide_Gross, Production_Budget, US_DVD_Sales) along with the ratings (MPAA_Rating, Rotten_Tomatoes_Rating, IMDB_Rating, IMDB_Votes) for each movie. For the app, the movies will be searched based on Major_Genre, MPAA_Rating and Release_Date, and the results will be displayed based on Worldwide_Gros Interactively, the viewer rating for each movie will be displayed based on a new variable calledoverall_ratingusing the information fromRotten_Tomatoes_RatingandIMDB_Rating`.

techrah commented 4 years ago

OK, I will revise mine and add any missing information.

techrah commented 4 years ago

I've updated section 2. However, I am hesitant to add too many more column names based on this excerpt from the milestone.md document:

Please note, if your dataset has a lot of columns and you plan to visualize them all, provide a high level descriptor of the variable types. For example, indicate that the dataset contains a variety of demographic variables and provide a brief list rather than stating and describing every single variable. You may also want to consider visualizing a smaller set of variables given the short duration of this project.

I interpret this to say:

I also did not mention how we are going to use them in the app. I think this section is only about describing the dataset itself.

Let me know if you still think we need further changes.