https://github.com/themarzoog/dsndproject1
Project 1 of Udacity Data Science Nano Degree
https://github.com/themarzoog/dsndproject1
data-science python
Last synced: 3 months ago
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Project 1 of Udacity Data Science Nano Degree
- Host: GitHub
- URL: https://github.com/themarzoog/dsndproject1
- Owner: TheMarzoog
- Created: 2021-11-11T01:12:17.000Z (over 4 years ago)
- Default Branch: main
- Last Pushed: 2021-11-16T19:18:49.000Z (over 4 years ago)
- Last Synced: 2025-12-31T00:36:06.478Z (7 months ago)
- Topics: data-science, python
- Language: Jupyter Notebook
- Homepage:
- Size: 4.01 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
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README
# TMDB Dataset Analyzation
Analyzing TMDB dataset to answer three quations:
1. Which genres are more common?
2. Which genre (on average) cost more to produce?
3. Which genre (on average) generate more revenue?
## Installation:
1. Download the ZIP file of the project or type:
`git clone https://github.com/marzoogtech/dsndProject1.git`
on the terminal to clone the project.
2. install the necessary libraries numpy, pandas, seaborn, and matplotlib using:
`pip install `
on the terminal or other methods.
## Project Motivation:
In this project, I condacted an explatory data analysis of the TMDB dataset.
the dataset contains information about movies genres, popularty, budget, etc.
there are three questions that I want to answer:
1. Which genres are more common?
2. Which genre (on average) cost more to produce?
3. Which genre (on average) generate more revenue?
## File Descriptions:
1. `tmdb_movies.csv`: contains the raw dataset.
2. `move_df.csv`: contains the cleaned dataset.
3. `Data Science ND Project 1.ipynb`: contains the analysis of the dataset.
## Blog post about the project:
[Blog post](https://medium.com/@MarzoogTech/movies-genres-cost-revenue-899d49deed3d)