Josephine Kaminaga
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jkaminaga.bsky.social
Josephine Kaminaga
@jkaminaga.bsky.social
40 followers 37 following 25 posts
Stats & DS @ UCSB '26, data science intern at the PCCTC.
Currently into: biostatistics, data visualization, summer reading, fencing. Warning for the occasional cat picture.
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Reposted by Josephine Kaminaga
hadley.nz
Do you teach #rstats? Do your students complain about how lame and old-fashioned dplyr is? Don't worry: I have the solution for you: github.com/hadley/genzp....

genzplyr is dplyr, but bussin fr fr no cap.
GitHub - hadley/genzplyr: dplyr but make it bussin fr fr no cap
dplyr but make it bussin fr fr no cap. Contribute to hadley/genzplyr development by creating an account on GitHub.
github.com
November 6, 2025 at 11:25 PM
Reposted by Josephine Kaminaga
cborstell.bsky.social
Flint water samples #TidyTuesday

Bootstrapped water samples for estimating proportion of samples with dangerous levels of lead

Code: github.com/borstell/tid...

#R4DS #DataViz #ggplot2
A plot with the title "Lead concentration in Flint water samples in 2015", consisting of a distribution plot (left) and a map of Michigan with Flint marked, with a water pipe coming out of Flint ending in a faucet emoji. The subtitle contains a longer text explaining "In 2015, the Michigan Department of Environment (MDEQ) collected 71 water samples in Flint to evaluate the concentration of poisonous lead in the drinking water. The Lead and Copper Rule posits that if more than 10% of samples are above 15 parts per billion (ppb), action is required by officials. The MDEQ originally excluded two samples with high readings, thus resulting in below-threshold readings overall. Suspicious of the results, a citizen science project coordinated by Prof. Marc Edwards and colleagues at Virginia Tech collected 271 new samples, which pointed to generally higher levels of lead concentration than the official MDEQ data had suggested. The plot below shows the distribution of samples in relation to the 10% threshold when each dataset is resampled 10,000 times using bootstrapping (the MDEQ data bootstrapped both with and without the samples originally excluded). When including the originally excluded samples, both datasets would indicate that the Flint drinking water is likely to contain dangerous levels of lead at a rate which would require official action for public safety. In 2014, changes made to the water supply source in Flint, Michigan resulted in a public health crisis with many residents being exposed to dangerous levels of lead in their drinking water. Data: MDEQ & Virginia Tech in Loux & Gibson (2018) via TidyTuesday | Packages: {tidyverse, ggarrow, ggdist, marquee, patchwork, raturalearth, rsample, scales}| Visualization: C. Börstell"
November 3, 2025 at 3:23 PM
Reposted by Josephine Kaminaga
johnholbein1.bsky.social
October 31, 2025 at 4:22 PM
Reposted by Josephine Kaminaga
rodrigo404.bsky.social
#tidytuesday, on friday?!

--

So many things to do with this week dataset!

#r4ds #ggplot2 #dataviz
October 24, 2025 at 5:36 PM
Reposted by Josephine Kaminaga
damiepak.bsky.social
Can you predict when Lou Bega's greatest hit, Mambo No. 5, was released based on the names of all the women mentioned in the song?

Weirdly yes.

yawpr.substack.com/p/project-a-...

#databs #rstats
October 21, 2025 at 8:24 PM
Reposted by Josephine Kaminaga
manasseh6.bsky.social
Historic UK Meteorological & Climate Data for #TidyTuesday, Week 42.

#rstats #dataviz #ggplot2
October 20, 2025 at 4:06 PM
Reposted by Josephine Kaminaga
bpiros.bsky.social
This week #TidyTuesday explores meteorological data from the UK Met Office. I calculated yearly averages and the overall average for each variable, identified anomalies and created barcode charts to visualize the anomalies, where each bar represents a year."
#pydytuesday #dataviz
October 21, 2025 at 3:59 PM
Reposted by Josephine Kaminaga
nrennie.bsky.social
Here's the more traditional #DataViz plot!

The data is this week's #TidyTuesday data from the @metoffice.gov.uk, where I focused on hours of sunshine per day in Leuchars! 🌤️

#RStats #ggplot2
Annotated barcode plot showing temperature in Leuchars for the 12 months of the year, with more variability in summer.
October 20, 2025 at 12:53 PM
jkaminaga.bsky.social
Despite midterms, grad school apps, & research, I somehow found time to do #tidytuesday on time this week!! Looking at maximum mean temp. variation in the UK's hottest and coldest weather stations over the last 10 years, & practicing annotation!

🔗: github.com/jkaminags/TidyTuesday

#rstats #dataviz
October 21, 2025 at 10:34 PM
Reposted by Josephine Kaminaga
cborstell.bsky.social
UK weather data #TidyTuesday

Temperature changes over time and some individual temperature extremes highlighted on map
🌡🇬🇧

Code: github.com/borstell/tid...

#DataViz ##ggplot2
A line chart showing temperature changes (daily min and max readings) from 22 weather stations across the UK. The line charts include model fit lines showing average temperatures across stations over time (1970 to 2024), showing the estimated average increase at the right margin (about +1.5 degrees Celsius). On the right of the line chart, there is map of the UK showing the location of each weather station. Four of them are marked with annotations showing the highest (Cambridge, 2008) and lowest (Newton Rigg, 2010) monthly means and the hottest January (Yeovilton, 1990) and coldest July (Lerwick, 1993). Data: UK Met Office via TidyTuesday; Packages: {tidyverse, geomtextpath, ggarrow, ggtext, glue, rnaturalearth, scales}; Visualization: C. Börstell.
October 20, 2025 at 7:30 AM
jkaminaga.bsky.social
Suuuper late #tidytuesday - quick plot looking at trends in undernourishment & cereal-based diets around the world!

Code on my github: github.com/jkaminags/TidyTuesday

#rstats #dataviz
October 18, 2025 at 10:48 PM
Reposted by Josephine Kaminaga
cborstell.bsky.social
Euroleague Basketball #TidyTuesday

A mini dataset, so decided to find a way to plot stadium capacity in an interesting way: went with points along the trajectory of a basketball shot! Swoosh! 🏀

Code: github.com/borstell/tid...

#R4DS #DataViz
A plot that says Euroleague Basketball teams by stadium capacity on a offwhite background and black/gray text. Each data point is plotted as a basketball (emoji) and text label with the name of the team(s) playing at the arena, along a parabola simulating the trajectory of a basketball shot towards a schematic basketball hoop located in the bottom right corner. A caption reads: "There are 20 teams in Euroleague Basketball, playing at 19 unique arenas with a median capacity of 12,700 spectators. The biggest arena by capacity is Belgrade Arena which hosts the teams Crvena zvezda Meridianbet and Partizan and seats up to 18,386 people. The smallest arena is Salle Gaston Médecin which hosts Monaco and has a capacity of 5,000. Data: EuroLeague & Wikipedia via {TidyTuesday}; Packages: {tidyverse, ggrepel, ggtext, glue, scales} ; Visualization: C. Börstell."
October 6, 2025 at 1:06 PM
Reposted by Josephine Kaminaga
healthstatsdude.bsky.social
October 3, 2025 at 1:45 AM
Reposted by Josephine Kaminaga
manasseh6.bsky.social
Crane Observations for #TidyTuesday, Week 39.

Used a feather-inspired visualization 🪶, with each vane representing the average number of cranes observed daily in spring (7 March – 30 April) from 1994 to 2024.

#rstats #dataviz #ggplot2
October 1, 2025 at 10:42 AM
jkaminaga.bsky.social
This week's #tidytuesday - ridgeline plots with an attempt at spring and autumn-themed color gradients, showing the distribution of crane numbers at Lake Hornborgasjon between 2004 and 2024!

Code at my github as always.

#Rstats #dataviz
October 1, 2025 at 7:16 AM
Reposted by Josephine Kaminaga
nrennie.bsky.social
A quick heatmap for #TidyTuesday this week, where we're looking at data on crane sightings in Sweden! Here, I'm using annotations instead of a traditional legend 📊 Thanks to @jenrichmondphd.bsky.social for curating the data!

Code: github.com/nrennie/tidy...

#RStats #ggplot2 #DataViz
Heatmap with year on x-axis, and dates from Mar-May on y-axis. Colour shows number of cranes observed, showing increasing number of cranes and earlier in the year.
September 30, 2025 at 5:50 AM
jkaminaga.bsky.social
last first day at UCSB 🌅
September 24, 2025 at 2:01 AM
Reposted by Josephine Kaminaga
nrennie.bsky.social
Super fun #TidyTuesday data all about frogs this week! 🐸

I decided to try to visualise the scientific names of the different frogs using a sunburst diagram 📊 Thanks to {ggiraph} - it's also interactive!

Code: github.com/nrennie/tidy...

#RStats #DataViz #ggplot2
September 2, 2025 at 9:01 AM
jkaminaga.bsky.social
so deep into my graduate school applications that I started searching up what phd regalia looks like for the schools I'm applying to... maybe I need to take a break?
August 30, 2025 at 3:48 AM
Reposted by Josephine Kaminaga
maxroser.bsky.social
At Our World in Data, we spend much of our time counting deaths.

But it’s just as important to know the number of lives saved — even though it is harder to estimate and involves much larger uncertainty.

My Data Insight today includes this chart of some estimates.
August 22, 2025 at 5:23 PM
jkaminaga.bsky.social
too busy with work stuff for tidytuesday this week… wish I could be my cat sometimes
August 20, 2025 at 12:14 AM
Reposted by Josephine Kaminaga
jabde.bsky.social
jabde.com/2025/05/26/o...
One Rocket to Rule Them All: An Intercontinental Ballistic Missile Ring of Power Delivery Feasibility Study - Journal of Astrological Big Data Ecology
In this paper we analyze the feasibility of using an ICBM to deliver the ring of power from Rivendell to Mt Doom
jabde.com
May 26, 2025 at 5:09 PM
Reposted by Josephine Kaminaga
thiagokrause.bsky.social
As always, Ted Chiang is great in this interview.
cdh.princeton.edu/blog/2025/08...
August 14, 2025 at 1:24 AM
Reposted by Josephine Kaminaga
rodrigo404.bsky.social
time for some #tidytuesday

code at: barreiro-r.github.io/tidytuesday/

#dataviz #r4ds #ggplot2
August 13, 2025 at 12:38 PM
jkaminaga.bsky.social
this week's #TidyTuesday - how has the burden of climate change-related extreme weather events been distributed across continents in the last 10 years?

🔗: [Github code](github.com/jkaminags/Ti...)

#Rstats #dataviz
August 13, 2025 at 8:08 PM