iamjunioru / populargamedata-streamlit

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

<

{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. ]

· view code or commits ·
website 🎮 {populargamedata}

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🌃 the visual:

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🔧 features | menu select

"🏰 home",
"📊 the dataset",
"🔎 search all by game",
"👑 popular games by genre",
"👑 popular games by year",
"👑 popular games by dev",
"📈 more rated games",
"📈 best rated games",
"📈 best rated games by year",
"🚀 games released in year",
"📉 worst by genre",
"📉 worst by year",
"📉 worst by developer",
"📉 worst overral",
"🎲 most played by year",
"🎲 least played by year",
"📖 wishlist but no played",
"📖 wishlist games",
"🎮 played games",
"🎮 playing games"

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👩‍💻 project created using:

• python 3.10, pandas, streamlit, seaborn, matplotlib.

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🛠 how to install:

running the project requires the installation of 🐍 python and requirements.txt. you can get those in the following link:

• python Installation

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

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⚡ how to run:

then, run the following commands on cmd or powershell:

  cd src

you can start server with:

  streamlit run app.py

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made with ❤️.

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