Data Visualization of Android Games on Play Store

Project: Data Visualization along with trend analysis using Python/Tableau

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.

Technologies Used

• 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

Install

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

Code

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.

Run

Navigate to your project folder and run the following command:

$ streamlit run app.py

Data

/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

Features

• Visualizes the data in bar graph so as to easily analyze it
• One can view values of each plot point through plotly's tool

Members

Shardul: LinkedIn Github

Ripson: LinkedIn Github

Royce: LinkedIn Github

Sandesh: LinkedIn Github

Vivek: LinkedIn Github