Hi Kari, We are currently working through the Data Carpentry Ecology Lesson http://www.datacarpentry.org/R-ecology-lesson/index.html every Thursday during study group sessions, and I second the spreadsheet lesson. I was able to cover the whole lesson in 2 hours by asking everyone to discuss the mistakes in the messy dataset, and then showing them the cleaned dataset afterward (instead of asking them to go through the exercise of cleaning the data themselves). According to them, the data validation and conditional formatting were the best part. Since most tools for downstream analyses require (cleaned) data in specific formats, this lesson is a must. In order to have more time available to cover "complicated" things during your one-day workshop, you might consider asking the participants to go through the spreadsheet lesson on their own (prior to the workshop), and then allocate 30 minutes to discuss it before moving on.
Also, I was teaching (visualization in R) at the same workshop as Jacqui, and I decided to show (or dangle, as Anelda put it) a plot of flowing data to demonstrate the power of R. Jason Williams showed this to us last year when I taught at my first workshop after checking out with instructor training (thanks Jason!). Here's the link: https://flowingdata.com/2015/12/15/a-day-in-the-life-of-americans/ I use the following analogy: if I want to teach someone how to bake a cake and I just start with all the ingredients, it might be difficult for them to imagine what the end-result would look like. However, if I show them a baked cake before we start, they have an idea "where they are going". It seemed to inspire them a lot! :) I also showed them some examples of interactive web applications (using R): https://shiny.rstudio.com/ - the code is also provided for each of these plots, which might be enough to inspire people to try it on their own data. Best of luck! Kind regards, Bianca On Thu, Jun 1, 2017 at 5:51 PM, jacqui muller <[email protected]> wrote: > Hi Kari, > > I hope this finds you well. I agree with Anelda. For a one day workshop, I > definitely think that a combination of OpenRefine and Spreadsheets is a > great option (depending on the interest of your audience). > > We ran a two day workshop yesterday and today in which we covered > Spreadsheets, OpenRefine and R. (https://nwu-digitalhumanities.github.io/ > 2017-05-31-Vaal/). Yesterday morning we covered the OpenRefine and > Spreadsheets lessons which were relatively short and our audience seemed > quite engaged; whereas yesterday afternoon and today we only covered R and > we seemed to have overwhelmed our audience. Spreadsheets and OpenRefine are > also a little easier to grasp that a little more intensive programming > lessons. > > I think that the two above lessons can be expanded to include a few more > exercises and it would allow for more time to be spent on challenges. This, > of course, is if this would be applicable to your audience. > > Have a great one further! > Jacqui Muller > > On Thu, Jun 1, 2017 at 5:37 PM, Anelda van der Walt < > [email protected]> wrote: > >> Hi Kari, >> >> I would start by asking what do you want them to do after the workshop? >> >> Nobody learns to programme in 1 day (or 2 for that matter). Do you want >> them to be inspired to attend/organise/initiate a SWC/DC workshop at their >> home organisations? >> >> Or maybe just get them interested enough to start exploring the web for >> opportunities to learn about topics like tools for automation, data >> cleaning, analysis and visualisation, etc. >> >> Once you know what you want them to do with the information you provided, >> you can plan how you can get them to do that through your choice of content >> and delivery. >> >> I'm in agreement about the Spreadsheet lesson. It's a simple and short >> lesson to teach but gives you plenty of opportunity to put out bait that >> might attract people to learn how to work more efficiently with data. It >> can also tie in nicely with almost any of our other lessons. Everyone I've >> ever met gave positive feedback about the spreadsheet lesson. Few people >> are taught to structure data properly as early as possible to make it >> easier later on. >> >> I saw a very interesting use of the Library Carpentry OpenRefine lesson >> yesterday. The lesson has a lot of depth and might be appealing to folks >> with an engineering background if you can relate some of the examples to >> what they might encounter in their datasets. It also makes you think about >> the nonsense that are often part of our data which we aren't necessarily >> aware of. We all just want to rush to get a plot and see what the data is >> saying. I think still too little emphasis on data cleaning in the >> not-so-big-data research fields. >> >> You could dangle an R or Python plot in front of them as a teaser to >> encourage them to participate in an upcoming SWC or DC near them. >> >> Let us know how it goes? >> >> Kind regards, >> >> Anelda >> >> >> >> On 01 Jun 2017 4:33 PM, "Kari L. Jordan, PhD" < >> [email protected]> wrote: >> >>> Hi everyone, >>> >>> Does anyone have a one-day workshop syllabi based on Carpentry material? >>> Myself and two other instructors are writing an abstract to do a one-day >>> pre-con workshop at the Professional Development Conference for the >>> National Society of Black Engineers. We'd like to cover the most useful >>> topics, and we only have one day. >>> >>> If you've done a one-day workshop, what did you cover? How did it go? >>> What tips can you give us? >>> >>> Thanks! >>> klj >>> >>> -- >>> >>> Kari L. Jordan, Ph.D. >>> >>> Deputy Director of Assessment >>> >>> Data Carpentry >>> >>> www.datacarpentry.org >>> >>> Request a meeting with me <https://calendly.com/kariljordan/> >>> >>> -- >>> >>> I'm speaking at JupyterCon in New York August 23–25, 2017. >>> http://oreil.ly/2oeY6A3 #JupyterCon >>> >>> _______________________________________________ >>> Discuss mailing list >>> [email protected] >>> http://lists.software-carpentry.org/listinfo/discuss >>> >> >> _______________________________________________ >> Discuss mailing list >> [email protected] >> http://lists.software-carpentry.org/listinfo/discuss >> > > > _______________________________________________ > Discuss mailing list > [email protected] > http://lists.software-carpentry.org/listinfo/discuss >
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