This is a visualization of all Game Categories in the dataset with respect to their Total Ratings, Installs(in millions), Growth in 30 and 60 days and ranking the top 3 Most Rated and top 20 Most Installed games by category.
- Python version: 3.9.2
- Numpy version: 1.20.1
- Pandas version: 1.2.3
- Matlplotlib version: 3.4.0
- Plotly version: 5.3.1
- Streamlit version: 0.88.0
The project requires Python and following Python Libraries:
Numpy:
$ pip install numpy
Pandas:
$ pip install pandas
Matplotlib:
$ pip install matplotlib
Plotly:
$ pip install plotly
Streamlit:
$ pip install streamlit
Raw code for Exploratory Data Analysis is avaliable in EDA.ipynb file. You will be required to save all other files and folders into your project folder to run the app.
Navigate to your project folder and run the following command:
$ streamlit run app.py
/datasets/android-games.csv is a dataset of top 100 games in each of the 17 Game Categories that are available on Play Store. This dataset is available on Kaggle.com
- Visualizes the data in bar graph so as to easily analyze it
- One can view values of each plot point through plotly's tool