class: center, middle, inverse, title-slide # Problem-Solving, Collaboration, and Sad Charts ### K Arnold, based on DSBox --- ## Problem-Solving * **Understand your data**: at the *input* and at *each step* in a pipeline. * Read the first row out loud. What does it say? * How many rows are there? What does each row represent? * **Think about your goal** * What should the first row of my output be? * If I had to work out each value in that row by hand, what parts of the input would I need? * **Take small steps** * Look at the results after each step * Work out your computation for one datum first, then go to all of them. Data science is **not magic**. Deliberate application of concepts and strategies will (eventually) bear fruit, no matter what language / library. --- ## Cooperation vs Collaboration "It is also important for the teams to understand the difference between cooperation and collaboration. * *Cooperation* is where the multiple tasks of a project are divided among the team members, but each person works independently. * *Collaboration* is the process where the finished product is produced via interactions among all of the members of the group working together True training in teamwork will come from collaboration, not cooperation." <br> .right[ .small[ Ekblaw. [Effective Use Of Group Projects In Online Learning](https://files.eric.ed.gov/fulltext/EJ1106897.pdf). Contemporary Issues in Education Research. 2016 ] ] --- ## Where we are * We visualized. We wrangled. Now we'll get more practice bringing those together. * Some VoiceThread notes published, more coming. * Next week: start predictive modeling This week: replicate and critique visuals * Lab 5 (starting today): critique a vis we give. * Discussion 3: critique a vis you find * Quiz 5 on Thursday: no more infinite tries.