Analyzing Google Play Store

In this notebook we will explore a dataset that we found in Kaggle that contains many interesting informations about Google Play Store an try to find out some meaningful insights.

The tools that we will use are:

numpy
pandas
matplotlib
seaborn
wordcloud

As a first step, let's upload our Jupyter notebook to Jovian.ml.

project_name = "analyzing-play-store"

!pip install jovian --upgrade -q

import jovian

jovian.commit(project=project_name,files=['googleplaystore.csv','googleplaystore_user_reviews.csv'])

[jovian] Attempting to save notebook..
[jovian] Updating notebook "kgtheo50/analyzing-play-store" on https://jovian.ml/
[jovian] Uploading notebook..
[jovian] Capturing environment..
[jovian] Uploading additional files...
[jovian] Committed successfully! https://jovian.ml/kgtheo50/analyzing-play-store

'https://jovian.ml/kgtheo50/analyzing-play-store'