Add Qatar Cars dataset from the {qatarcars} R package

[andrewheiss]

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Usability:

• This dataset has not already been used in TidyTuesday.
• The dataset is less than 20MB when saved as a tidy CSV.
• I can imagine at least one data visualization related to this dataset.

Preparation:

• cleaning.R has code to download and clean the dataset, resulting in descriptively-named data.frames.
• I ran saving.R or tidytuesdayR::tt_save_dataset() to create csvs and md data dictionaries for each of my data.frames.
• I filled in descriptions for each variable in each of the {dataset}.md files.
• I edited the intro.md file to introduce my dataset.
• I included at least one image for my dataset as a png file.
• I completed the information in meta.yaml, including descriptive alt text for each image and how to credit me.

[github-actions]

TidyTuesday Submission Check: Failed ❌

• Could not reach URL for 'article'. Please check manually: https://doi.org/10.1080/15512169.2025.2572320
• Image 'example-plot.png' has too many megapixels. It is 9.18 MP, max is 8.3 MP.

qatarcars.csv:

variable	class	p_missing	n_unique
origin	character	0.0	8
make	character	0.0	31
model	character	0.0	105
length	numeric	0.0	97
width	numeric	0.0	83
height	numeric	0.0	93
seating	numeric	0.0	5
trunk	numeric	0.0	88
economy	numeric	9.5	64
horsepower	numeric	0.0	88
price	numeric	0.0	102
mass	numeric	0.0	99
performance	numeric	0.0	60
type	character	0.0	4
enginetype	character	0.0	3

[github-actions]

TidyTuesday Submission Check: Failed ❌

• Could not reach URL for 'article'. Please check manually: https://doi.org/10.1080/15512169.2025.2572320

qatarcars.csv:

variable	class	p_missing	n_unique
origin	character	0.0	8
make	character	0.0	31
model	character	0.0	105
length	numeric	0.0	97
width	numeric	0.0	83
height	numeric	0.0	93
seating	numeric	0.0	5
trunk	numeric	0.0	88
economy	numeric	9.5	64
horsepower	numeric	0.0	88
price	numeric	0.0	102
mass	numeric	0.0	99
performance	numeric	0.0	60
type	character	0.0	4
enginetype	character	0.0	3

[github-actions]

TidyTuesday Submission Check: Failed ❌

• Could not reach URL for 'article'. Please check manually: https://www.tandfonline.com/doi/full/10.1080/15512169.2025.2572320

qatarcars.csv:

variable	class	p_missing	n_unique
origin	character	0.0	8
make	character	0.0	31
model	character	0.0	105
length	numeric	0.0	97
width	numeric	0.0	83
height	numeric	0.0	93
seating	numeric	0.0	5
trunk	numeric	0.0	88
economy	numeric	9.5	64
horsepower	numeric	0.0	88
price	numeric	0.0	102
mass	numeric	0.0	99
performance	numeric	0.0	60
type	character	0.0	4
enginetype	character	0.0	3

[andrewheiss]

The canonical DOI URL (https://doi.org/10.1080/15512169.2025.2572320) redirects to https://www.tandfonline.com/doi/full/10.1080/15512169.2025.2572320, but apparently GHA gets mad at both and times out. Ideally, the plain DOI URL should be used in the final version of this: https://doi.org/10.1080/15512169.2025.2572320

The only column with missing data is economy, but that's expected since those are electric cars that don't use fuel and thus don't have fuel efficiency values like mpg

[jonthegeek]

Check is fine. I need to review this still, but the basics are done. Thanks!