{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/d04fb889b1274fda95a693206d40a2a0\" frameborder=\"0\" width=\"1152\" height=\"864\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":864,"width":1152,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":864,"thumbnail_width":1152,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/d04fb889b1274fda95a693206d40a2a0-994563bc3e3ea2c8.gif","duration":278.77,"title":"Analyzing Book Length and Ratings: Insights from Data Visualization","description":"In 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!"}