RandomWalk Data Science Assessment

Instructions:

1. Fork the github repo into your personal Github account and take a clone into your local system.

   Guide to Forking Github Repo: https://docs.github.com/en/github-ae@latest/get-started/quickstart/fork-a-repo

   Guide for cloning Github Repo: https://docs.github.com/en/repositories/creating-and-managing-repositories/cloning-a-repository

2. Intantiate a Jupyter Notebook instance in the local working directory and create a notebook which answers the following questions.

   Guide for installing Jupyter Notebook in Local system: https://test-jupyter.readthedocs.io/en/latest/install.html

3. Save the notebook and push it into forked Github github repo. Take a screencast video demonstrating the working solution in your system and upload the video into the forked github repo.

   Guide to pushing code into Github Repo: https://docs.github.com/en/migrations/importing-source-code/using-the-command-line-to-import-source-code/adding-locally-hosted-code-to-github

4. Share the repository link into the Google Form: https://forms.gle/QCfjjyQQ5jnoegNe9

Questions:

Q1: How many rows and columns are there in books.csv dataset?

Q2: How many books do not have an original title?

Q3: How many unique books are present in the dataset ? Evaluate based on the 'book_id' after removing null values in the original_title column.

Q4: What is the average rating of all the books in the dataset based on ‘average_rating’?

Q5: Find the number of books published in the year ‘2000’ based on the ‘original_publication_year’.

Q6: Which book (title) has the maximum number of ratings based on ‘work_ratings_count’.

Q7: Bucket the average_rating of books into 11 buckets [0, 0.5, 1.0, 1.5, 2.0, 2.5, 3.0, 3.5, 4.0, 4.5, 5.0] with 0.5 decimal rounding (eg: average_rating 3.0 to 3.49 will fall in bucket 3.0). Plot bar graph to show total number of books in each rating bucket.