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data-analysis-project-amazon-top-50-bestselling-books-2009-2019

In this project we will do Exploratory Data Analysis on Dataset Amazon's Top 50 bestselling books from 2009 to 2019. Contains 550 books, data has been categorized into fiction and non-fiction using Goodreads

Columns:

Name - Name of the Book

Author - The author of the Book

User Rating - Amazon User Rating

Reviews - Number of written reviews on amazon

Price - The price of the book (As at 13/10/2020)

Year - The Year(s) it ranked on the bestseller

Genre - Whether fiction or non-fiction

!pip install jovian --upgrade --quiet
import jovian
pip install seaborn
Requirement already satisfied: seaborn in /opt/conda/lib/python3.9/site-packages (0.11.1) Requirement already satisfied: numpy>=1.15 in /opt/conda/lib/python3.9/site-packages (from seaborn) (1.21.1) Requirement already satisfied: pandas>=0.23 in /opt/conda/lib/python3.9/site-packages (from seaborn) (1.3.1) Requirement already satisfied: scipy>=1.0 in /opt/conda/lib/python3.9/site-packages (from seaborn) (1.7.0) Requirement already satisfied: matplotlib>=2.2 in /opt/conda/lib/python3.9/site-packages (from seaborn) (3.4.2) Requirement already satisfied: python-dateutil>=2.7 in /opt/conda/lib/python3.9/site-packages (from matplotlib>=2.2->seaborn) (2.8.2) Requirement already satisfied: kiwisolver>=1.0.1 in /opt/conda/lib/python3.9/site-packages (from matplotlib>=2.2->seaborn) (1.3.1) Requirement already satisfied: pyparsing>=2.2.1 in /opt/conda/lib/python3.9/site-packages (from matplotlib>=2.2->seaborn) (2.4.7) Requirement already satisfied: pillow>=6.2.0 in /opt/conda/lib/python3.9/site-packages (from matplotlib>=2.2->seaborn) (8.3.1) Requirement already satisfied: cycler>=0.10 in /opt/conda/lib/python3.9/site-packages (from matplotlib>=2.2->seaborn) (0.10.0) Requirement already satisfied: six in /opt/conda/lib/python3.9/site-packages (from cycler>=0.10->matplotlib>=2.2->seaborn) (1.16.0) Requirement already satisfied: pytz>=2017.3 in /opt/conda/lib/python3.9/site-packages (from pandas>=0.23->seaborn) (2021.1) Note: you may need to restart the kernel to use updated packages. 
# Execute this to save new versions of the notebook
jovian.commit(project="data-analysis-project-amazon-top-50-bestselling-books-2009-2019")
[jovian] Updating notebook "ak902557/data-analysis-project-amazon-top-50-bestselling-books-2009-2019" on https://jovian.ai [jovian] Committed successfully! https://jovian.ai/ak902557/data-analysis-project-amazon-top-50-bestselling-books-2009-2019 
'https://jovian.ai/ak902557/data-analysis-project-amazon-top-50-bestselling-books-2009-2019'