Google Play Store Apps data Analysis

Author: Prasanna Rahavendra A Github, Linkedin, Kaggle.

The Google Play Store Apps dataset obtained from this kaggle page is analyzed. It was exciting to deep dive into the dataset!
This exploratory data analysis and visualization enable us to have a lot of insights about the data. This will be an asset to app developers and companies.

I have used python packages numpy, pandas, matplotlib and seaborn for this dataset.

Importing necessary packages

#importing necessary packages
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import seaborn as sns

#setting the plot style to seaborn "darkgrid" style.
sns.set_style("darkgrid")

Data Preparation and Cleaning

In this section, we load the dataset using pandas and follow a few pre-processing steps to correct the errors and mis-matches in the dataset. This preparation will make the data suitable for analysis.

apps_df = apps_df = pd.read_csv("googleplaystore.csv")
apps_df.head()