video1.0<iframe src="https://www.loom.com/embed/d04fb889b1274fda95a693206d40a2a0" frameborder="0" width="1152" height="864" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>8641152Loomhttps://www.loom.com8641152https://cdn.loom.com/sessions/thumbnails/d04fb889b1274fda95a693206d40a2a0-994563bc3e3ea2c8.gif278.77In this video, I walk you through my week two Model One assignment, where I analyze book data to answer two key questions: whether book length correlates with average ratings and which popular books have the most polarizing ratings. I clean the dataset from Kaggle, filter out less significant books, and generate two graphs to visualize the findings. Interestingly, the data shows a trend where longer books tend to have higher ratings. I also highlight that 'Twilight' is the most read book in the dataset. I encourage you to take a look at the graphs and data summary to see the insights for yourself!