So i am going to try this. I am going to gather all the tweets related to #tidytuesday every week and build a sort of depository. One can learn a lot from looking at how other R users are using the data, packages to generate beautiful visuals. These are tweets with direct links so one can click on the tweet and get more information about how these visuals or GIF’s were generated. If you are new to tidytuesday, its an effort by R community to encourage people to analyze data and generate visuals simultaneously allowing them to learn various packages and R. More importantly have fun in the process !!!
The author of github page posts a new dataset every week on Monday night. The datasets are funny, interesting and a great way to learn R skills.
Note: I try my best to paste links, in case i missed any its because the link did not work or the tweets after the date i wrote this blog or i simply got bored of copying and pasting links.
- the link did not work or
- the tweets were after the date i wrote this blog or
- i simply got bored of copying and pasting links
Feel free to add links to the comments section of this post and i will try to incorporate them in my weekly posts.
Week 25 : June 25, 2019
Data : UFO Sightings around the world
Better late than never #TidyTuesday. How have descriptions of UFOs changed from 1998 to 2014 #r4ds #datascience @thomas_mock pic.twitter.com/iRJvzZvEmq
— Alyssa Goldberg (@WireMonkey) June 28, 2019
overlaying UFO sighting with bigfoot provides some interesting results. #TidyTuesday #ggplot2 .The code https://t.co/U2Cp5UsN3X . Plot was edited in Inkscape to make it look fancy pic.twitter.com/zJ3BjED9xK
— Atmajit (@opendataandr) June 28, 2019
A very simple and late #TidyTuesday. Many more UFO sightings on the Fourth of July. Hmmm. 🧐#dataviz #rstats pic.twitter.com/XibgtAOHsU
— Jenna DeVries (@jennaldevries) July 3, 2019
UFO sightings in my birth state of North Carolina. The oblong shape of NC was an ideal opportunity to learn precise control of legend, annotation and arrow positioning.
— Joel Soroos (@soroosj) June 30, 2019
#TidyTuesday #rstats
Code: https://t.co/1FUmO76T31 pic.twitter.com/f1iazF6u4q
I haven't had long to look at this, but here is a bubble plot on a map of the UFO Sightings – interesting to see that the USA have had the most sightings! #tidytuesday #r4ds #r #dataviz pic.twitter.com/Lb5AyjwWZ7
— Larissa Kostiw (@LarissaKostiw) July 1, 2019
2019-06-25 #TidyTuesday #rstats UFO Sightings! THREAD! 2/2
— Julio Spairani (@jspairani) July 1, 2019
timeline with column country , then map using the geolocations, and finally timeline using countries obtained with geolocation, amazing find the some country values 🥳🤩 pic.twitter.com/UuzBICdnEx
My first #TidyTuesday ! Thought I'd annualise the revenue to get a view of the relative performance. Thanks to all for your TT entries – it's a great idea!https://t.co/G2PCnlHTfu pic.twitter.com/VZ4uxOn8UP
— Julian Collins (@JCollinsData) July 2, 2019
#TidyTuesday Sci-Fi Edition, topic – UFO sightings. Honed in on USA. Major spike in numbers after 2010 and California is a hotbed for UFO sightings. Would love to see sci-fi movie data to cross compare – Prometheus debuted 06/2012, circa 2012's spike, coincidence? 🛸 #rstats pic.twitter.com/ZZv9XAbr5J
— Tanya Shapiro (@tanya_shapiro) June 25, 2019
A bivariate choropleth map for #TidyTuesday illustrating the relationship between population density and ufo sightings. Lot of sf and api magic in the code. Huge TY to @grssnbchr and @angelozehr on their posts on bivariate maps. Code @ https://t.co/1BhlhPnYyC #rstats #r4ds pic.twitter.com/PKdBmEFhCI
— Jake Kaupp (@jakekaupp) June 27, 2019
UFO Sightings around the world. What explains the dominance of the shape of ufo's?#TidyTuesday #rstats pic.twitter.com/2KqJDnbDd7
— Dee Malko (@malko_dee) June 28, 2019
This week's #TidyTuesday was a close encounter of the geom_tile() kind… I plotted the frequency of #UFO sightings since 1980 only to find that the number of *recorded* sightings has increased dramatically in recent years… #rstats #iwanttobelievehttps://t.co/K9aFiP5D9f pic.twitter.com/z5Y5vMcsr7
— Brian P Dranka (@BPDranka) June 27, 2019
This week's #TidyTuesday. UFO sightings have increased in the past fifteen years. Here is a depiction I made in 'R' of the 64,473 reported UFO sightings in the US from the past 115 years. #R4DS #Rstats Code: https://t.co/MPwFWa2DYv pic.twitter.com/olAm4KATXo
— Dylan Mangel (@DylanMangel) June 25, 2019
#TidyTuesday on UFO sightings. I wonder if with so many sightings is "not an alien force already among us", lol#rstats #dataviz #r4ds #datascience
— Harro Cyranka 🔎 (@harrocyranka) June 25, 2019
Color palette is the my new favorite: Lacroix pic.twitter.com/cI5qGvAMpC
UFO sightings for #TidyTuesday and I look at the top 10 cities in the world with the most reported encounters (all in the US). I didn't do any data cleaning at all, so the numbers shown may not correspond to reality 😄
— Georgios Karamanis (@geokaramanis) June 25, 2019
code: https://t.co/K7Cn6uogr0 pic.twitter.com/eU5mZxyUgR
Common bigrams in UFO descriptions, a'la the {tidytext} 📦. Data provided by NUFORC 👽 #TidyTuesday
— Amanda Plunkett (@AmandaRPlunkett) June 26, 2019
Code 👉 https://t.co/qTQsMieObU pic.twitter.com/rKsAdga84K
Had a hunch that UFO sightings would be common near airports. Looks that way, but could be due to populated areas having airports and higher chance of sightings. The truth is out there.
— Will Hipson (@whipson3) June 27, 2019
#TidyTuesday
Code: https://t.co/tHuvBoNM74 pic.twitter.com/cbpPgPm4p7
This theme felt right for my first stab at #TidyTuesday. Average duration of UFO sightings across the United States. Take-home message: aliens really like to hang out over New Mexico and Arizona 👀👀👀
— Charles Davis (@CPDavis90) June 26, 2019
data: https://t.co/jmFOPTKK0R
code: https://t.co/R96kGyw1ym#rstats pic.twitter.com/odUK5XPBnH
Haha, best UFO sightings are on weekend nights; UFOs seem active then 😜 🛸 #TidyTuesday #rstats
— Nancy Huynh 👋 (@nh_writes) June 25, 2019
Not sure how much I like the map, but still learning more about mapping with #ggplot2. Had some trouble with log10 scaling and the point size (oddly large). pic.twitter.com/SjX2CrAint
I never had enough courage to share #TidyTuesday stuff before (I'm an anthropologist & self-taught in R stats). i'm sure this could be done better/clearer but it was kinda fun to play around with Tidytext etc. pic.twitter.com/p2FhawHdhu
— Marc Kissel (@MarcKissel) June 24, 2019
USA and Canada has lot of sightings and most of them in mid year. More sightings happen after 6 pm but only until 1 am, which is considered as an overall and for countries USA and Canada as well. #TidyTuesday GitHub code: https://t.co/J4F2wMNQ4B pic.twitter.com/WI4bxBLMVk
— Amalan Mahendran (@Amalan_Con_Stat) June 25, 2019
UFO sightings with gganimate – need to tidy up some of the year rendering inthe animation but pleased with first foray into gganimate. Code: https://t.co/NdfGOKsj7N #TidyTuesday pic.twitter.com/JX2FqEIVaq
— Paul Nice (@nicey1980) June 27, 2019
#Tidytuesday #Rstats
— @Vaibhav Singh (@MYMSingh) June 25, 2019
Do people in the US see more UFO's than others ?
This week data is on UFO sighting across the world, pretty interesting, used gganimate to uncover some pattern
Until 2000 majority of UFO were sighted only in US, later this trend spread across except Russia ! pic.twitter.com/HLouQJO2a2
This #TidyTuesday gave the chance to play around with #rayshader by @tylermorganwall. UFO sightings happen at night—but where ambient light is strongest. pic.twitter.com/6gUPprxJpX
— Andrew Renninger (@AndrewRenninger) June 26, 2019
My laptop does not have enough memory to publish 80000+ UFO observations, but this is my interactive map of UFOs #TidyTuesday, #rstats, @thomas_mock pic.twitter.com/RqmThJKwLA
— Oleksiy Anokhin (@OleksiyAnokhin) June 25, 2019
For my first #TidyTuesday submission, I plotted UFO sightings in Germany.
— ソレン (@s01ren) June 25, 2019
Some not-so-tidy city to district mappings included 😉
code: https://t.co/AVijcU18Qa#rstats pic.twitter.com/h7MnnU7jpf
So much better in black though #tidytuesday #rstats pic.twitter.com/DSp5zr6IOj
— sbtr. (@sbtr11) June 27, 2019
This week I made another #tidytuesday visualization using the countrycode package. I wanted to see if there were differences in sightings based on what part of the world you're in. Code can be found at: https://t.co/OaUomy2oQt pic.twitter.com/naf3Ec86xf
— Catherine Williams (@catrwilliams) June 27, 2019
Fun with ggraph to examine word correlations in UFO sightings for #TidyTuesday #rstats pic.twitter.com/kPdhWy9vBZ
— sbtr. (@sbtr11) June 27, 2019
For #TidyTuesday, I investigated the length of the UFO encounters. Unfortunately, I couldn't find anything.
— John Blischak (@jdblischak) June 27, 2019
Source: https://t.co/J9JqLtumMF
Code: https://t.co/cSRDNLqzXh
e.g. the shape of the UFO didn't affect encounter length pic.twitter.com/ZAzgHjsYGB
First #tidytuesday submission. Seems like UFOs were particularly interested in the US at least until the 1990s (OR, you know, you guys were a bit susceptible maybe?).
— Daniela de los Santos (@danidlsa) June 25, 2019
Got to use the cool Rick and Morty palette from #ggsci package here.#rstats #gganimate pic.twitter.com/Gy3H2jvoGT
The number of UFO sightings has substantially increased in the last 20 years 👽🛸#TidyTuesday #RStats #dataviz #r4ds #tidyverse pic.twitter.com/46vP4OPM4c
— Antoine (@_abichat) June 25, 2019
Yesterday evening/night, temp decreased, and I did code!
— Sil Aarts (@sil_aarts) June 25, 2019
Almost fell asleep behind my laptop, so no time to post it.
This week's #TidyTuesday hardly needs an explanation:
ALIENS ARE COMING FOR THE USA!
Inspired by @CedScherer!#R #fun #codinglife pic.twitter.com/FZ4XOrhyDS
My first #TidyTuesday submission
— HaripV (@hari141v) June 29, 2019
Most UFO sightings are in the evening time#rstats #ggplot #rstudio pic.twitter.com/vLJFTi86qT
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