Module Three, you're guide to creating visualizations. So, now we have moved through many elements of the framework we're using to define good data visualization. In this module, we're going to really focus in on the visual form. To do so, we'll talk about a few key concepts, we'll talk about finding patterns in data, we'll talk about being planful and the way that you approach the creation of your data visualization, we'll talk about having the understanding of the components of visual form, what is good visual form, we'll introduce a framework that will do that. Then, we'll talk about creating inviting data visualization database. We'll give you a definition there. In this module again, we're using this framework, which has guided us along the way and shown us the elements of a successful data visualization. In the next lesson, first lesson of this module, we will be focused in on the visual form. Actually, from here on out, we're going to focus on the visual form. Remembering our Bellabeat case study, we have constructed an outline for a story. We identified an objective, we found some key questions that we know are missy and pretty robust and complete. For each of those key questions, we've identified a data source that will help us answer that. Now, we're going to focus in on this last piece of data tech adoption over time, which will help us in our case study, answer the question, "Why is awareness critical to Bellabeat's product adoption?' Through this data and through the analysis, we helped show that adoption over time of technologies have led to success for those technologies and maybe even give us a sense for how quickly we should expect the adoption of Bellabeat's new technologies to take place across our market. Now, we have also found data. That's where we are, and as we move through this module, we'll start to analyze this data, seek some patterns from it, and then turn those visualizations into client-ready database.