Git Product home page Git Product logo

dsc-phase-1-project-v2-3's Introduction

Phase 1 Project: Movie Analysis

By: Rachel Eastman

Microsoft sees all the big companies creating original video content and they want to get in on the fun. They have decided to create a new movie studio, but they do not know anything about creating movies. I am charged with exploring what types of films are currently doing the best at the box office. I must then translate those findings into actionable insights that the head of Microsoft's new movie studio can use to help decide what type of films to create. I decided to review three different variables: genres, directors and writers, and most profitable time of year to release a movie.

The Data:

The data I used for this project was:

Methodology & Results:

To find the most profitable genres, I decided to merge all three data frames together to get all the data into one data frame. I then dropped the null values from the dataset. I used the median because alt textthe histogram showed an abnormal distribution. I found the most profitable domestic and most profitable foreign genres. These two graphs show the top ten domestic and top ten foreign genres by gross. alt text alt text

To find the most profitable writers and directors, I merged the genre dataset with the crew dataset. I dropped the duplicates. Then, using descriptive statistics, used the mean to find the writers and directors with most profitable movies. These graphs show how much, on average, each of these writers' an directors' movies gross. alt text alt text To find the most profitable months to release a movie, I created a new data frame to include the release date and worldwide gross. Once again, I used descriptive statistics to find the mean and median of most profitable months. I concluded that the summer months, specifically May, June and July, were the best times to release a movie. alt text

Discussion and Conclusion

I was surprised by some results, especially time of the year to release a movie, which was June and July. I expected December to be more profitable than what the data showed The most popular genres include sci-fi and adventure. This was not as surprising to me as most of the most popular movies of all time include some adventure in it. Movies such as Star Wars and Star Trek are also high grossing movies in the sci-fi genre. The most profitable directors are Josh Whedon (Buffy the Vampire Slayer), Adam Green (Frozen, 2010), and Jennifer Lee (Frozen, 2013). The most profitable writers are Joe Robert Cole (Black Panther), Warren Ellis (Iron Man 3) And Steven McNiven (Logan).

Final Recommendations:

  1. Recommend releasing movies in May, June or July
  2. Recommend Sci-fi and adventure movies, and avoid war and documentary movies
  3. Recommend using as Joe Robert Cole, Warren Ellis or Steven McNiven as writers and Josh Whedon, Adam Green, or Jennifer Lee as directors.

dsc-phase-1-project-v2-3's People

Contributors

rcasey106 avatar cheffrey2000 avatar davidbraslow avatar hoffm386 avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    ๐Ÿ–– Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.