#tidytuesday #rstats
Data : UFO Sightings Redux
Code : github.com/am-consulting/…
HTML : saecanet.com/tidytuesday-20…
TidyTuesday : github.com/rfordatascienc…

This week's #TidyTuesday submission. This is my first map I have created with ggplot. Had a little difficulty with geom_label() but hope to get better!

Code: github.com/jedjohnson4/ti…

#rstats #ggplot2 #tidyverse

#TidyTuesday #UFOs #UFOSightings #dataviz #rstats

Code: github.com/PursuitOfDataS…

Number 17 is SO scary!! 😱

This week's #TidyTuesday challenge : UFOs !

I focused on France because the number is quite low (38 sightings since 1978 !), so it was easier to manage.

I'm not very happy with the labels placement... It'll be better next time (hopefully).

#Rstats #dataviz #R4DS

UFO Sightings for #TidyTuesday

I used the {lunar} package, which includes daily lunar illumination data, to test if sightings have any relationship with the phases of the moon.

Code➡️ github.com/natrivera/tidy…

#rstats #DataViz #UFO

My - late - contribution for this week's #TidyTuesday challenge on UFO sightings.

Source: National UFO Reporting Cente

R code: github.com/npechl/TidyTue…

#rstats #dataviz

Reported UFO sightings for this week's #TidyTuesday

code: github.com/gkaramanis/tid…

#RStats #dataviz

Bonus UK version - there were fewer UFO reports from the UK, but there are still some interesting trends. #TidyTuesday

Here is my first submission for #TidyTuesday - a letter cloud showcasing the most common words people around the globe use when describing a UFO sighting.🛸🌌 #r4ds #tidyverse #dataviz #UFOsightings #rstats
Code: github.com/Devashree21/Ti…

This week in #TidyTuesday we look UFO Sightings.

I used {tidytext} to extract the colours. I hope I got 'em all.

Code: github.com/mvbloois/tidyt…

#dataviz #rstats

Another #TidyTuesday piece is finished!🙏🏾

The highlight of this #dataviz is technical. I used {pixelart} to make pixel art from photos in #rstats . Moreover, I used {ggsvg} to make a waffle chart out of space invaders' aliens.

🔗github.com/IcaroBernardes…
🖼️github.com/IcaroBernardes…

My week 25 #TidyTuesday vis of when UFO sightings occur in the US. This was a fun dataset! I learned a lot about dealing with different time zones and also tried out {patchwork} for the first time.

code: github.com/gmschroe/tidyt…

#rstats #tidyverse #r4ds

#TidyTuesday week 25: UFO Sightings 👽

Report 93833: 'Me and my friends were partyings ands likes we's gots likes reallzyd drunk. mmk. soooo like we went outside and passed out and woke up...'

🔗 github.com/doehm/tidytues

#Rstats #dataviz #r4ds #ggplot2 #tidyverse

Trying my hand at this week's #TidyTuesday looking at reported UFO sightings since 2000.
Out of the big cities, Manchester has the most sightings at 14.7 per hundred thousand people.

🔗github.com/lucymahony/tid…

#TidyTuesday week - 24 UFO Sightings. I visualized UFO sightings in India. Map created in #Tableau and edited in #figma
#dataviz

#TidyTuesday !! Code: github.com/efranke22/tidy…

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Today's #TidyTuesday is about UFO sightings. I looked at what time of day UFO sightings were most likely to occur. Perhaps unsurprisingly, the answer is at night.

Here is my #map for the #TidyTuesday challenge – W25. This one is about UFO sightings across the US northeast, 1940 – 2020.
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This week's data comes from the National UFO Reporting Center,
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📝: github.com/poncest/tidytu…
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#rstats | #r4ds | #tidyverse | #dataviz | #ggplot2

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UFO sightings! #Aliens #ufotwitter #UFOSightings

This week, I got geom_text() outside of the plot using coord_cartesian(clip = 'off') and plotted images using geom_image() from the ggimage package. #tidytuesday week 25 #ggplot #rstats #tidyverse

Code: github.com/celevitz/tidyt…

I created a quick facetted map for this week's #TidyTuesday data on UFO sightings. Recording from {camcorder} is in the first reply.
R4DS Online Learning Community

#rstats #DataScience #r4ds #tidyverse #ggplot2

Code - github.com/gdatascience/t…