{"type":"video","version":"1.0","html":"<iframe src=\"https://www.loom.com/embed/5940495051a647df8927827396c4ad04\" frameborder=\"0\" width=\"1620\" height=\"1215\" webkitallowfullscreen mozallowfullscreen allowfullscreen></iframe>","height":1215,"width":1620,"provider_name":"Loom","provider_url":"https://www.loom.com","thumbnail_height":1215,"thumbnail_width":1620,"thumbnail_url":"https://cdn.loom.com/sessions/thumbnails/5940495051a647df8927827396c4ad04-1701829290301.gif","duration":979.62,"title":"Code Walkthrough: Project Group 6","description":"In this video, we provide a code walkthrough of our project. We start by creating a CSV file and converting it into a data frame using pandas. Then, we use plotly express to visualize the data as a line graph, showing consumer expenditure on movies over the years. We also create double bar graphs to compare movie preferences before and after COVID, as well as reasons for hesitancy and subscriptions to video streams. Additionally, we explore home entertainment trends and revenue in the movie theater industry. Finally, we discuss the potential of screen sports and screen games in the U.S. market. No specific action is requested from viewers."}