Presentations tomorrow in lab:
Bring a laptop to fill out feedback forms
One more team evaluation to be filled out promptly after class
Presentation order to be announced in class tomorrow
Guest lecture on Thursday – make sure to complete the reading before class
Take note of Project 2 presentation date: must be in class in person to present or present live via Zoom in case of isolation
New teams to be announced next week
Sequential plots: Motivation, then resolution
A single plot: Resolution, and hidden in it motivation
When you’re trying to show too much data at once you may end up not showing anything.
Never assume your audience can rapidly process complex visual displays
Don’t add variables to your plot that are tangential to your story
Don’t jump straight to a highly complex figure; first show an easily digestible subset (e.g., show one facet first)
Aim for memorable, but clear
Be consistent but don’t be repetitive.
Use consistent features throughout plots (e.g., same color represents same level on all plots)
Aim to use a different type of visualization for each distinct analysis
Visualize the data at [url] using ggplot2.
p_hist <- ggplot(mtcars, aes(x = mpg)) + geom_histogram(binwidth = 2) p_box <- ggplot(mtcars, aes(x = factor(vs), y = mpg)) + geom_boxplot() p_scatter <- ggplot(mtcars, aes(x = disp, y = mpg)) + geom_point() p_text <- mtcars |> rownames_to_column() |> ggplot(aes(x = disp, y = mpg)) + geom_text_repel(aes(label = rowname)) + coord_cartesian(clip = "off")
The plot will fill the empty space in the slide.
If there is more text on the slide
The plot will shrink
To make room for the text
For a zoomed-in look
For a zoomed-out look
fig-widthaffects text size
If no, then don’t! Move the second plot to to the next slide!
Insert columns using the Insert anything tool
layout-ncol chunk option
Use the patchwork package
Possibly, use pivoting to reshape your data and then use facets
Insert > Slide Columns
Quarto will automatically resize your plots to fit side-by-side.
Learn more at https://patchwork.data-imaginist.com.
Look into the source code at https://github.com/vizdata-s23/website/slides.