In this live training, you will learn the basics of how to create an interactive plot using Plotly. You will visualize Seoul bike sharing data using bar plots, scatter plots and line plots using Plotly as well as DataCamp Workspace's no-code chat cell. In the process, we’ll tease out how Seoul weather is impacting bike sharing trends. No prior Python experience is required for this code-along. We'll start at the beginning!
We will be using DataCamp Workspace. Other than a DataCamp account, you don’t need anything. If you are part of specific enterprise groups, you may not yet be able to use DataCamp Workspace. You can create a free DataCamp account with your personal email address to follow along.
Head of DataCamp Workspace
Filip is the passionate developer behind several of DataCamp's most popular Python, SQL, and R courses. Currently, Filip leads the development of DataCamp Workspace. Under the motto 'Eat your own dog food', he uses the techniques DataCamp teaches its students to understand how learners learn on and interact with DataCamp. Filip holds degrees in Electrical Engineering and Artificial Intelligence.