In the R community, there’s a weekly event known as Tidy Tuesday where everyone comes together around a single big dataset and attempts to create the most interesting visualizations possible, posting code and data viz on Twitter using #TidyTuesday. I’d like us to try a… Tidy Friday, with data from a previous week’s Tidy Tuesday - change in colors used by Bob Ross in paintings in his seminal TV show, The Joy of Painting over time!
Check out the repository here and the color palette package BobRossColors.
Rows: 403 Columns: 27
── Column specification ────────────────────────────────────────────────────────
Delimiter: ","
chr (5): img_src, painting_title, youtube_src, colors, color_hex
dbl (4): painting_index, season, episode, num_colors
lgl (18): Black_Gesso, Bright_Red, Burnt_Umber, Cadmium_Yellow, Dark_Sienna,...
ℹ Use `spec()` to retrieve the full column specification for this data.
ℹ Specify the column types or set `show_col_types = FALSE` to quiet this message.
and install the colors if you want to use them later! Look at https://github.com/frankiethull/BobRossColors to learn how to use them (there are examples).
Season of ‘The Joy of Painting’ in which the painting was featured.
episode
double
Episode of ‘The Joy of Painting’ in which the painting was featured.
num_colors
double
Number of unique colors used in the painting.
youtube_src
character
Youtube video of episode featuring the painting.
colors
character
List of colors used in the painting.
color_hex
character
List of colors (hexadecimal code) used in the painting.
Black_Gesso
logical
Black_Gesso used
Bright_Red
logical
Bright_Red used
Burnt_Umber
logical
Burnt_Umber used
Cadmium_Yellow
logical
Cadmium_Yellow used
Dark_Sienna
logical
Dark_Sienna used
Indian_Red
logical
Indian_Red used
Indian_Yellow
logical
Indian_Yellow used
Liquid_Black
logical
Liquid_Black used
Liquid_Clear
logical
Liquid_Clear used
Midnight_Black
logical
Midnight_Black used
Phthalo_Blue
logical
Phthalo_Blue used
Phthalo_Green
logical
Phthalo_Green used
Prussian_Blue
logical
Prussian_Blue used
Sap_Green
logical
Sap_Green used
Titanium_White
logical
Titanium_White used
Van_Dyke_Brown
logical
Van_Dyke_Brown used
Yellow_Ochre
logical
Yellow_Ochre used
Alizarin_Crimson
logical
Alizarin_Crimson used
So, time to play!
I want you to load the data, look through it, and then, make it tell a story! To do this, I want you to:
Really dig into what is there with all of the tools we have at our disposal.
Sit down and write out what kind of story you want to tell. What do you want to learn from this data? Write out a paragraph. Or two!
Sketch out any data visualizations you might want to make. With pencil and paper - just a theoretical example of what it might look like.
Start a fresh .R file and, in comments, sketch out the steps you will take and what you will do. Try the approach of writing what you start with, what you want to end with, and then fill in the middle via comments before you start to code.
4a. Note, for all data viz, don’t just use defaults. Get creative. Make this look like something that we wouldn’t be surprised to find in a magazine or newspaper. Feel free to use alternate themes - even from ggthemes or other places. Google around.
4b. Use some BobRossColors!
Once finished, move the code into a Quarto document file to create a nice, clean, HTMl file that tells a story. Show how you processed the data. and make the visuzliations. Submit the result in the same place you submit your homework! At the end, we’ll call around and see if anyone wants to show off their work!
