Here is the post-race analysis for 🇰🇪 Omanyala. Slow start detected up to 20m mark but quickly accelerated and finished strongly in 3rd place with a time of 10.05 sec in the men's 100m race at the Wanda #DiamondLeague in #RabatDL 🇲🇦.
#dataviz #rstats #r4ds #tidyverse
My first #TidyTuesday visualisation on the 100 oldest men and women (week 22's data). I decided to show the years each person lived and highlighted the people who set record ages.
Code: github.com/gmschroe/tidyt…
Data: en.wikipedia.org/wiki/List_of_t…
#rstats #tidyverse #r4ds
Submission for #TidyTuesday {wk: 23} | Energy! 🪫
📍 Per Capita Electricity Generation!
🛠️
{AfricaCountryBins} - Africa tiles cartogram heatmaps
{CGPfunctions} ~ Slope Graph
🔗code: github.com/manassehoduor/…
#rstats #dataviz #tidyverse #r4ds
Added annotations with Canva for the #TidyTuesday {wk:22} submission | Verified Oldest People ~ Centenarians!
🔗code: github.com/manassehoduor/…
#rstats #tidyverse #dataviz #r4ds
Little Mouse Encyclopedia 🐭 on Nintendo Switch 🎮 available with a hot 83% discount! ❤️🔥
#sale
#gamesforkids
#nintendoswitch
#TidyTuesday - #⃣2⃣3⃣#⃣- Ranking of countries by renewable and non-renewable energy generation
#Datavisualization with Posit PBC
#tidyverse #dplyr #ggplot #rstats #r4ds #dataviz #visualization #storytelling
Code 🗞️: github.com/JuanmaMN/TidyT…
Here is my #viz for the #TidyTuesday challenge – W23. This one is about Energy data.
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This week's data comes from Our World in Data's Energy Data Explorer.
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📝: github.com/poncest/tidytu…
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#rstats | #r4ds | #tidyverse | #dataviz
Here we go for this week #TidyTuesday about Energy Data.
A radial chart of the electrical energy mix around the World.
Data from Our World In Data.
Hd plot & #RStats code : bit.ly/3qp0aqB
#r4ds #tidyverse #dataviz
#TidyTuesday - #⃣2⃣3⃣#⃣ (2) - Per capita electricity generation in solar and wind in South America in 2021
#Datavisualization with Posit PBC
#tidyverse #dplyr #ggplot #rstats #r4ds #dataviz #visualization #storytelling
Keeping it simple and minimal with a slope chart for #TidyTuesday this week! Using data from Our World in Data, I focused in on how coal production per capita has changed in different countries since 1960 🔥
Code: github.com/nrennie/tidytu…
#RStats #R4DS #DataViz
#TidyTuesday | Week 21 | Squirrels
code: github.com/haenelfr/tidyt…
#rstats #ggplot #dataviz #CentralPark #squirrel #r4ds #tidyverse
This week's #TidyTuesday dataset is the Our World in Data Energy dataset, which presents the available energy data from all countries between 1900 and 2022. I decided to do a quick plot with something I'd never used (that's why we're here), geom_area().
#Rstats #dataviz #R4DS
Top-3 sprinters performance analysis in the concluded men's 100m race at the Wanda #DiamondLeague 2023 in #RabatDL .
1. 🇺🇸 Kerley Fred ~ 9.94s
2. 🇿🇦 Simbine Akani ~ 9.99s
3. 🇰🇪 Omanyala Ferdinand ~ 10.05s
#dataviz #rstats #r4ds #tidyverse
Here is my submission for #TidyTuesday {wk:22} | Verified Oldest People ~ Centenarians!
🔗code: github.com/manassehoduor/…
#rstats #tidyverse #dataviz #r4ds