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Day 1 morning (R part 1)
- 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!
- 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)
- 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
- 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)
- 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.
- 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)
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