https://github.com/codeslash21/tmdb_data_analysis
We analysed TMDB dataset which contains around 11000 movies details. We analyzed to find some interesting facts about the dataset.
https://github.com/codeslash21/tmdb_data_analysis
data-analysis data-visualization matplotlib nanodegree-project numpy pandas python tmdb-movie
Last synced: 6 days ago
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We analysed TMDB dataset which contains around 11000 movies details. We analyzed to find some interesting facts about the dataset.
- Host: GitHub
- URL: https://github.com/codeslash21/tmdb_data_analysis
- Owner: codeslash21
- License: mit
- Created: 2021-05-29T22:18:56.000Z (over 3 years ago)
- Default Branch: master
- Last Pushed: 2023-05-31T07:23:55.000Z (over 1 year ago)
- Last Synced: 2024-12-23T20:22:13.664Z (about 2 months ago)
- Topics: data-analysis, data-visualization, matplotlib, nanodegree-project, numpy, pandas, python, tmdb-movie
- Language: HTML
- Homepage:
- Size: 6.54 MB
- Stars: 0
- Watchers: 2
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
- License: LICENSE
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README
# TMDB movie database
This project is to analyse the TMDB movie dataset which contains data of around _11,000_ movies. Here we have analyse the depending factors of a successful movie and all other relationships between depending factors.
## Getting Started:
### Files:
```
├── data
| |
│ └── tmdb-movies.csv // dataset
├── pkg
|
└── analysis_fn.py // python module for the necessary functions
├── TMDB_data_analysis.ipynb // jupyter notebook used for analysis
├── TMDB_data_analysis.html // html format of jupyter notebook used for analysis
├── environment.yml // The dependencies we need to create environment
├── README.md
└── LICENSE
````### Setup:
To create environment with necessary python libraries for this analysis run the following command
```
conda env create -f environment.yml
```This project is based on `tmdb-movies.csv` file which contains all the details about 11K movies. One can open this project in `Jupyter Notebook` using terminal or command promt typing the following command in the project directory
```
jupyter notebook TMDB_analysis.ipynb
```### License:
This project is under _MIT License_ see more in [LICENSE]()