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 ๐ฎ {populargamedata}
"๐ฐ home",
"๐ the dataset",
"๐ search all by game",
"๐ popular games by genre",
"๐ popular games by year",
"๐ popular games by dev",
"๐ more rated games",
"๐ best rated games",
"๐ best rated games by year",
"๐ games released in year",
"๐ worst by genre",
"๐ worst by year",
"๐ worst by developer",
"๐ worst overral",
"๐ฒ most played by year",
"๐ฒ least played by year",
"๐ wishlist but no played",
"๐ wishlist games",
"๐ฎ played games",
"๐ฎ playing games"
python 3.10, pandas, streamlit, seaborn, matplotlib.
running the project requires the installation of ๐ python and requirements.txt
. you can get those in the following link:
you can clone this repository with:
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
:
pip install -r requirements.txt
then, run the following commands on cmd or powershell:
cd src
you can start server with:
streamlit run app.py
made with โค๏ธ.