ScatterBrainPlots

#TidyTuesday - The Scent of Data

User rating heatmap of 23 main accord pairings in this week's Parfumo data set.

Surprising absolutely no one, Synthetic as a primary scent note is not particularly popular.

#rstats | #ggplot2 | #DataViz

#TidyTuesday week 50: The Scent of Data

Word clouds of the main accords, base, notes, middle notes, and top notes for the top 50 rated perfumes. Spicy, woody, oriental, floral, and sweet are the most common characteristics.

🔗 github.com/doehm/tidytues
#Rstats 📊 #dataviz

Knowing Spotify Wrapped was imminent I spent a bit of the thanksgiving down time tinkering with my historical listening data.

Maybe i should have bought better headphones on black friday given the amount of time i use this app.

#Spotify #Wrapped #RStats #DataViz #ggplot2 #spotifywrapped

There was a tweet a few years ago that said Spotify Unwrapped must be one of the most profitable uses of group_by() and summarise() and it just lives rent free in my mind at this time of year #rstats

Dupin's choropleth map of France showing literacy (well, proportion of conscripts who could write their name) by department. Darker shades = lower literacy.

Portrait of Baron Charles Dupin sitting at a desk, with his map on the table top underneath a book.

#TodayinHistory #dataviz #Onthisday #OTD 📊
📅Nov 30, 1826 Charles Dupin presented the first #choropleth #map, showing rates of literacy in France 🇫🇷

A key development in thematic cartography!
It showed that social ('moral') variables could be mapped & made subject to intelligent discussion/analysis.

Finally, comparing FY23 to FY24 encounters by citizenship. Mexico remains the top country of origin, with several others showing significant year-over-year changes.

Breaking down these encounters by CBP component shows distinct patterns between Office of Field Operations and Border Patrol processing. Border Patrol handles the majority of encounters, primarily along the Southwest border.

#TidyTuesday (ish) -- Thanksgiving break gave me some time for an extended sesh with this CBP dataset (via @dslc.io / Tony Galvan)

First up: Monthly encounters by processing authority (Title 8 vs Title 42).

#rstats, #ggplot2

a man in a suit is talking to a group of people and says " there are dozens of us dozens " ALT: a man in a suit is talking to a group of people and says " there are dozens of us dozens "

Finding all these data viz accounts on Bluesky has been such a breath if fresh air

Logo for the #TidyTuesday Project. The words TidyTuesday, A weekly data project from the Data Science Learning Community (dslc.io) overlaying a black paint splash.

A stacked bar plot (created by Tony Galvan, but inspired by @fentasyl on X) showing monthly inadmissible CHNV (Cuban, Haitian, Nicaraguan, and Venezuelan) alien encounters by U.S. Border Patrol agents from 2020 to 2024, based on data from U.S. Customs and Border Protection. Bars represent total monthly encounters, with the blue portion indicating Southern Border encounters and the red portion indicating Interior encounters. From 2020 to 2022, encounters are consistently below 10,000 per month, predominantly at the Southern Border. Starting in 2023, encounters surge dramatically, ranging from 10,000 to 60,000 per month, with Southern and Interior encounters roughly equal. The data appears inaccurately low for late 2023.

DSLC.io welcomes you to week 48 of #TidyTuesday! We're exploring U.S. Customs and Border Protection (CBP) Encounter Data!

📂 tidytues.day/2024/2024-11...
📰 gdatascience.github.io/us_border_pa...

Submit a dataset! github.com/rfordatascie...

#RStats #PyData #JuliaLang #DataViz #tidyverse #r4ds

I'm writing up a brief history of the tidyverse? What do you want to know about it? #rstats

people say no obsession or hobby will fill the emptiness inside or do the work of repairing the hurt we carry. you know what kind of people say this. quitters

Channeling my data hoarding and college R class into something semi-productive. Starting a data viz journey with DC Airbnb reviews because I guess I enjoy pain & watching housing markets implode.

Spent a concerning amount of time adjusting axis labels
#dataviz #rstats #DChousing #thisisfine

The {scico} #RStats 📦 is new to me! scico features “39 different palettes, all of which are perceptually uniform and colourblind safe. An overview can be had with the scico_palette_show() function”. By @thomasp85.com

github.com/thomasp85/sc...

Since I've been here for a while… here are some useful features on Bluesky that you might not have discovered yet! 🧵

Fossil fuels are the biggest source of CO2 emissions in most countries, but there are a few exceptions

sup, world