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Google PlayStore Apps

This project deals with exploring the Google playStore dataset , downloaded from https://www.kaggle.com/lava18/google-play-store-apps. I aim to use this dataset to understand preprocessing methods and do a basic exploratory data analysis of the dataset. In the course of learning about the project, I will use the PANDAS library for working with dataframes and plotting libraries like matplotlib and seaborn for visualizing the data and answering some questions based on the data.

Kudos to ZeroToPandas for an accessible course, and for incentivizing the learning by doing style. I have learnt more about how to learn and progress my understanding and skills of Data Science, more than learning the techniques of doing so. I have to allocate more time to understanding the libraries as that provides a source of exploration.

Downloading the Dataset

Download the dataset from Kaggle, by searching for Google PlayStore Apps, uploaded by Kaggle user Lavanya Gupta.
Click on https://www.kaggle.com/lava18/google-play-store-apps and glance through the summary of the spreadsheets.

!pip install jovian opendatasets --upgrade --quiet
dataset_url = 'https://www.kaggle.com/lava18/google-play-store-apps' 
import opendatasets as od
od.download(dataset_url)
Kaggle dataset ID: lava18/google-play-store-apps
0it [00:00, ?it/s]
0%| | 0/2037893 [00:00<?, ?it/s]
Extracting archive ./google-play-store-apps.zip to ./google-play-store-apps