Stickies feedback

Tim Moore edited this page May 14, 2018 · 3 revisions

Day 1 morning (R part 1)

Green

  • Very nice pace to the introduction of R. Easy to follow and awesome use of Etherpad
  • The pace was generally good. Not too slow, not too fast. But when the pace picked up towards the end I nearly got lost.
  • Well-paced, great intro to get us going
  • Very concise, but thorough and well organized. Also well paced
  • Really liked learning indenting properly! Pace was good!
  • Step by step instructions are easy to follow
  • Good learning experience, plenty of instructions and a lot of help provided when needed!
  • Clear instructions with time to complete tasks
  • Clear explanations and logical order makes things easy to follow
  • I liked the exercises and socrative questions to practice what we learned.
  • The helpers were very good!
  • Explained things well
  • Great explanations of the basic tools
  • Despite some people having basic knowledge of R, I appreciate you staring at the very basic level because I was never previously exposed to it.
  • This was one of the best lessons I've had in R. You did a wonderful job explaining how to subset data
  • Good having the code updated in dropbox AND my brain feels good! Pace is quick, but not impossible
  • Like the effective usage of technology
  • Saving the code to the dropbox file throughout the session was very helpful
  • The updates on dropbox were extremely helpful
  • The pad and dropbox notes are very helpful
  • Learnt how to read and write code for beginners with no experience
  • Starting to learn R
  • More tricks
  • All of it - I learned so much!

Red

  • Hard to follow lesson and chat. Some good stuff in chat that would be usefull
  • Clearly more time is needed to learn all
  • Skipped some info that would be useful for new-to-R people (what are the data classed in R? Phython says string, but R says factor? Huh?)
  • A lot of different programs to download, was confusing
  • A lot of time taken between exercises to help other people - felt like I wasn't learning much
  • Does SWC host advanced classes?
  • Sad about not being in a computer lab
  • Some of the terminology is confusing, like factor vs string in other languages, maybe elaborate more please?
  • Got a little lost in the second part, but picked up from script posted
  • Less specifics, focus more on big picture
  • The sticky note system seems inefficient
  • Too fast
  • Too fast sometimes
  • Adding a column was complicated
  • Didn't like when people talked over the lecturer
  • Get us to not to ask derailing questions to the lecturer
  • Nothing/Can't think of anything x 6

Day 1 afternoon (Git)

Green

  • Git Bash on terminal started making sense
  • Git Bash + committing
  • Tying back git interface with RStudio was helpful
  • I would like another overview of using Git in RStudio. Thanks
  • Really good intro to Git and understanding GitHub. Definitely made me interested how I can use this
  • I liked how we learned how Git works before we actually went over its applications
  • Worksheet was a helpful touch for better understanding Git
  • Enjoyed visualization of the repository pathways via worksheet
  • I like the worksheet - even though I didn't experience the [black]board issue, I think that would have been much worse
  • I liked the Socrative quizzes
  • Really appreciated the examples and trying to give us as many visualizations as possible
  • Like the pace. Adding examples of use-cases may help understand the tool a little easier
  • The organization of the presentation followed well (logical steps were easy to follow)
  • Nice tutorial style. Easy to follow
  • Easy step by step directions
  • Clean walkthrough for Git
  • Git seems awesome!
  • Learnt something completely new to follow better the codes [sic]
  • Fun guy teaching. I really like guacamole
  • Humour

Red

  • Worksheet did not add much
  • Checkout is still confusing. There are also not a lot of comments on the Git notes for future reference
  • Try to tell people why before what - e.g. explain why HEAD is before git diff HEAD
  • Slightly confusing watching all the typing in terminal when not sure what is going on
  • Provide introductory information on working with terminal before the session starts
  • Initially struggled a bit because concept was new but became easier to follow as we kept doing it
  • Conflict exercise hard to follow
  • Confusing conflict - very long
  • Time management
  • Too fast!
  • Needed more time to get through Git content. Too rushed through collaboration example. Too difficult to follow along from there
  • Went through the materials very quickly, but otherwise good!
  • Afternoon was good but last hour or so a bit fast
  • Things went very quickly at times and I got lost many times - especially when problems arose
  • Would be nice if you could type a line and leave it up for longer. I felt like sometimes 'enter' was hit too quickly and I missed the end of the code
  • More background on commands would be helpful
  • RStudio Git was too fast, couldn't follow
  • Git in RStudio - I was lost
  • Last bit [RStudio] was a bit hurried
  • I wish a little more time had been dedicated to the intersection of R and Git, because I'm not going to retain any of it
  • Difficult to follow. I would liked to understand the purpose of using Git as it related to R before doing through the tutorial
  • The ending was too rushed to really absorb it

Day 2 morning (R part 2)

Green

  • Very useful information, very good
  • Really good and useful info - clearly presented and organized
  • The material covered was useful and I liked that the focus was on code that would be written for research
  • Working in R was very clear and super useful, especially the graphing
  • Pipes were useful, you went fast, but not too fast, so good speed
  • Lots of info on filtering
  • I really enjoyed the explanation of packages to make working with data more efficient in R.
  • Providing and easy to follow process to enter data
  • The tidyr pace was great
  • Going through ggplot and dplyr - two widely used packages in biological data manipulation
  • Ggplot demonstrations were very useful
  • The functions, piping and data cleaning were really helpful
  • Basic explanations were more present which was helpful for those of use who haven't used R before (Still, data types...)
  • The etherpad is really helpful
  • Really nice that I actually don't have to worry about the code, but can sit back and listen, then copy the code over.
  • It was great to use yesterday's Git knowledge again today. I felt like it makes more sense doing it twice! And will remember better. Again, great pace from all presenters
  • Liked that we were able to build on skills learnt yesterday to generate plots and calculate means. This is very helpful.

Red

  • Great work this morning. Can't think of any feedback
  • Is there any way to fit in loops? It would be a helpful follow up to functions.
  • Sometimes re-explaining things is key - there are a lot of things that I think could have had a sentence of re-explaining (commands, etc)
  • It'd be great to have some explanations on why we do some things (like long vs wide - benefits? downfalls?)
  • Would be nice to have more time to play with plots
  • Explain or use shortcuts
  • Would have appreciated better organization within the R script using more labelling and subscripts
  • Would the notes on the etherpad be accessible later as I could have missed making comments/notes as I worked
  • The pace towards the end was extremely hard to keep up with
  • The pace in the day 2 am session was pretty fast, I could keep up, but it definitely was a challenge (I feel like my quick typing was the only thing saving me!)
  • Pace was wicked fast during explanations and follow along and glacial during socrative questions
  • Went too fast at the end
  • I was unable to keep up with your typing and processing presentation
  • Please go slower through dplyr
  • Would have been difficult to follow if I wasn't already familiar with R
  • The relevance to Git could be more well explained, just seemed like a random part in the middle
  • Using Git in RStudio is still unclear
  • The integrating with Git part was difficult to follow along with

Day 2 afternoon (SQL)

Green

Red

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