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Amazon-top-50-bestselling-books-2009-2019

This dataset contains information about top 50 bestselling books which are available on "amzon" for the period of year 2009 to 2019. This dataset includes information about title of book, author of book, genre of book, user ratings and number of reviews on book, price of books in dollars and year in which that book was in bestseller list. I will be using Python libraries like NumPy, Pandas, Matplotlib, Seaborn to draw some insights from the dataset. This is the final submission for the course Data Analysis with Python: Zero to Pandas. This course helped me a lot in enhancing my programming skills in Python. This course covers all the topics required for exploratory data analytics in Python and covers topics gradually over a period of time.

Downloading the Dataset

I have downloaded the dataset "amazon-top-50-bestselling-books-2009-2019" from kaggle using opendatasets library. While downloading dataset your kaggle user name and API key is required.

!pip install jovian opendatasets --upgrade --quiet

Let's begin by downloading the data, and listing the files within the dataset.

dataset_url = 'https://www.kaggle.com/sootersaalu/amazon-top-50-bestselling-books-2009-2019'