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https://github.com/iamjunioru/populargamedata-streamlit

๐ŸŽฎ {populargamedata} is an interactive platform using streamlit and python that provides comprehensive and accessible data analysison popular games.
https://github.com/iamjunioru/populargamedata-streamlit

python streamlit

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๐ŸŽฎ {populargamedata} is an interactive platform using streamlit and python that provides comprehensive and accessible data analysison popular games.

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<

{populargamedata}.



this code consists of a final project carried out in the course of the
decision support systems (DSS or SAD) - information systems course - IFCE, Campus Cedro.


{populargamesdata} is an interactive platform using streamlit that provides comprehensive
and accessible data analysison popular video games released between 1980 and 2023.
It provides detailed information on various aspects of games including
[ release date, user and critic ratings, developers, genres, and more, and more. ]



ยท view code
or
commits ยท


website ๐ŸŽฎ {populargamedata}

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๐ŸŒƒ the visual:

Logo


Logo
Logo
Logo

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๐Ÿ”ง features | menu select

```python
"๐Ÿฐ home",
"๐Ÿ“Š the dataset",
"๐Ÿ”Ž search all by game",
"๐Ÿ‘‘ popular games by genre",
"๐Ÿ‘‘ popular games by year",
"๐Ÿ‘‘ popular games by dev",
"๐Ÿ“ˆ more rated games",
"๐Ÿ“ˆ best rated games",
"๐Ÿ“ˆ best rated games by year",
"๐Ÿš€ games released in year",
"๐Ÿ“‰ worst by genre",
"๐Ÿ“‰ worst by year",
"๐Ÿ“‰ worst by developer",
"๐Ÿ“‰ worst overral",
"๐ŸŽฒ most played by year",
"๐ŸŽฒ least played by year",
"๐Ÿ“– wishlist but no played",
"๐Ÿ“– wishlist games",
"๐ŸŽฎ played games",
"๐ŸŽฎ playing games"
```

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๐Ÿ‘ฉโ€๐Ÿ’ป project created using:

- `python 3.10, pandas, streamlit, seaborn, matplotlib.`

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### ๐Ÿ›  how to install:

running the project requires the installation of ๐Ÿ python and `requirements.txt`. you can get those in the following link:
- [python Installation](https://www.python.org/downloads)

you can clone this repository with:
```bash
git clone https://github.com/iamjunioru/populargamedata-streamlit.git
```
or fork/download the released zip file.

after fork or clone the repository to your to your machine.
install `requirements.txt `:
```bash
pip install -r requirements.txt
```

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### โšก how to run:

then, run the following commands on cmd or powershell:
```bash
cd src
```
you can start server with:
```bash
streamlit run app.py
```


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