TMDB 5000 Movie Dataset Analysis

Introduction

This data set contains information about 10,000 movies collected from The Movie Database (TMDb), including user ratings and revenue.

• Certain columns, like ‘cast’ and ‘genres’, contain multiple values separated by pipe (|) characters.
• There are some odd characters in the ‘cast’ column. Don’t worry about cleaning them. You can leave them as is.
• The final two columns ending with “_adj” show the budget and revenue of the associated movie in terms of 2010 dollars, accounting for inflation over time.

Objectives:

• Know all the steps involved in a typical data analysis process
• Be comfortable posing questions that can be answered with a given dataset and then answering those questions
• Investigate problems in a dataset and wrangle the data into a format that can be used
• Communicating the results of your analysis

Softwares needed:

*You will need an installation of Python, plus the following libraries:

1. pandas
2. NumPy
3. Matplotlib
4. csv

• A text editor, like VS Code or Atom.
• A terminal application (Terminal on Mac and Linux or Cygwin on Windows).

Installation links for softwares:

• Git for windows - for terminal application using Git Bash
• Python using Anaconda (latest version for windows)
• Visual Studio Code Editor (for windows)

References:

1. TMDB Movies Datasets
2. Pandas Documentation
3. Matplotlib Documentation