This application summarizes information about the video game market based on data from the Steam store. It provides users with tools to explore the data through:
- Plotting graphs: Visualize trends and relationships in the data.
- Viewing specific video game details: Get in-depth information about individual games.
- check for python version :
python --version
Ensure you have Python version 3.11 or newer installed. If not, install or update Python to meet this requirement. - check for pip installation:
python -m pip --version
pip (the Python package manager) is necessary for installing required packages.
- Install required package :
pip install -r requirements.txt
This command installs all the necessary packages listed in the requirements.txt file. - Run the main module :
python main.py
- Linux
sudo apt-get install python3-tk - MacOS
brew install python-tkThese commands install thetkinterpackage required for the application's graphical user interface (GUI) on specific operating systems.
- matplotlib>=3.8.4
- numpy>=1.26.4
- pandas>=2.2.2
- Pillow>=10.3.0
- Requests>=2.31.0
The data used in this application originates from the Steam Games Dataset on Kaggle:
Kaggle.com
The dataset is licensed under the MIT License (see THIRD-PARTY-LICENSE for details).
This page consist the datastory telling part.
Page allow user to change the attribute of the graph and filter by themselves.
- Select the dataframe you want to visualize
- Filter the data by using the set of filter condition in the combobox
- Select the Graph type and its attribute
- Press Visualize button
Let User read the data of the specified videos game and add the specific game to the dataframe.
- Select specific games
- Add the dataframe name to the buttom combobox
- Press add button to add the video game into the new dataframe