windijon / zhaw-patterns-trends-semester_project Goto Github PK

Please keep in mind that we need to read a written report in order to evaluate your project (as an example, have a look at this report from last year, which we also had linked to on moodle). This means that you will need to commit and push the output from your .Rmd file, which it seems you haven't done till now.

Do not wait till the submission date for this step! After activating GitHub pages (see #1) and pushing your html outputs, have a look at your report which will be hosted on:

https://windijon.github.io/ZHAW-Patterns-Trends-Semester_Project/Test-Area.html or
https://windijon.github.io/ZHAW-Patterns-Trends-Semester_Project/Johannes_Test_Area.html

Have a look at this URL and check if you are satisfied with your result. By the way, you can make your output cleaner by adding the following lines to the top of your Rmarkdown file:

knitr::opts_chunk$set(echo = FALSE)       # hides code
knitr::opts_chunk$set(warning = FALSE)    # hides warnings
knitr::opts_chunk$set(message = FALSE)    # hides messages

As a reminder, here is the slide with the requirements concerning your report:

Now that you have set up Github Pages correctly, you can make your report more visible by adding the URL to your repo. To do so, simply click on the "settings button" (see screenshot below) and at the URL to your Report (see second screenshot below)!

Your URL is: https://windijon.github.io/ZHAW-Patterns-Trends-Semester_Project/Semesterproject.html

Hi there!

I see that you are working on your semester project 😄

I've noticed that you haven't yet activated GitHub Pages on your repo. Can you do this? All you need to do is go to the settings of your repo, go the tab "Pages" and activate GitHub Pages by choosing your branch (main or master) and then the folder root (see screenshot below). The green box will appear if you click on save.

If you have any questions, please book a session with me via https://calendly.com/rata-zhaw/

I don't think it's reasonable to show the same data twice (once as a boxplot, once as a table). But if you do want to create a table, pipe your tibble into a knitr::kabel(), e.g.:

 ws_newyear_speed %>% 
   group_by(TierName) %>% 
   subset(select=-c(E,N)) %>% 
-   summarise(mean = mean(speed, na.rm =TRUE))
+   summarise(mean = mean(speed, na.rm =TRUE)) %>%
+   knitr::kabel()

You have multiple Rmd Files in your repo, which one will hold the project report?