# Meeting with Andreea Most enrichment students will have basic knowledge in how to produce graphs. They will also know some python (especially if RSE course). Case studies with good and bad examples are really useful. Some knowledge about when and wherre to start for interactive viz. Whenver you have too mcuh info or need user inputs. `plotly`. plotly has a high-level and low-level interface. Impressed to have uncertainty, not taught much too simple means that you'll lose many. e.g. in directory of visualisations people will lose interest if they had came across the graph before or they feel that it is not relevant 172 enrichment students. Expect a third of them to have poor knowledge of data viz The students are interested in what is the best way to look for things? Pointers for where to start. [Python's visualisation landscape](https://www.google.com/search?q=python+visualisation+landscape&rlz=1C1CHBF_en-GBGB784GB784&sxsrf=ALeKk01VSf_ctCRjalVKaUyttwBnBZiTaQ:1627373411732&source=lnms&tbm=isch&sa=X&ved=2ahUKEwjR2P2w5oLyAhWuRkEAHRAkA9UQ_AUoAXoECAEQAw&biw=1920&bih=947#imgrc=mqAjer-FWOtftM). Most people struggle with finding the correct vizualisation. It will be good to show newer plots, rather than just traditional designs. (e.g. lollipop plots; spider plots). Emphaises on _What is possible with data_. Forward thinking. `tableau`. Other tools that don't require programming? if possible try and do it after RSE. Small survey to current enrichment students about what they would like to see in this module? Qu's like what do you miss in terms of your research or wished you were taught beforehand?