I wanted to transmit ranges in a #PieChart, so here is my day 1 (#partToWhole) of the #30DayChartChallenge and I would love to hear feedback. Does it work, is it clear? What could be done better?

#DataViz #infertility #fertility

I wanted to transmit ranges in a #PieChart, so here is my day 1 (#part-to-whole) of the #30DayChartChallenge and I would love to hear feedback. Does it work, is it clear? What could be done better?

#DataViz #infertility #fertility

I wanted to transmit ranges in a #PieChart, so here is my day 1 (#point-to-whole) of the #30DayChartChallenge and I would love to hear feedback. Does it work, is it clear? What could be done better?

#DataViz #infertility #fertility

#30DayChartChallenge | April 2023 - Day 29 | monochrome

code: https://github.com/curatedmess/30DayChartChallenge/blob/main/2023/04292023/day_29.R

#ggplot #rstats #dataviz

#30DayChartChallenge | April 2023 - Day 28 | trend

went down a bit of a rabbit hole trying to learn how to illustrate uncertainty with time series by showing all the draws...still a bit uncertain of the model I chose

code: https://github.com/curatedmess/30DayChartChallenge/blob/main/2023/04282023/day_28.R

#ggplot #rstats #dataviz

My #Rstats plot for Day 28 (Trend) of #30DayChartChallenge is a series plot that shows how fatal automobile crashes in Delaware have recently been increasing, after a period of decline.

Code: https://codeberg.org/svanhorne/TidyTuesday/src/branch/main/30DayChartChallenge/28_Trend/Code.r

Now that I'm back to having WiFi, I'm playing catch up with the #30DayChartChallenge!

For #Day28 (trend), I had a look at the Capital Bikeshare data again and visualised how usage trends throughout the day have changed 🚲🚲🚲

#RStats #DataViz

RT @we_do_data

#30DayChartChallenge jour 2️⃣6️⃣ / Local Change
Une cartographie des ventes immobilières en Loire-Atlantique depuis 2014, un phénomène qui bouleverse la région, ses habitants et son économie.
Réalisée avec l’outil CineDataMap 🎥

🐦🔗: https://twitter.com/we_do_data/status/1651110314174300160

#30DayChartChallenge 2023 Day 13 Pop culture
Yes, climate stripes are in pop culture.
An extra shade explicits the limit You Shall Not Pass. We have a limit 👉we show it
@IPCC_CH as discussed
@chezVoila
@AlexRuane
@Peters_Glen

Heatmaps with @f_l_o_u_r_i_s_h
+ Illustrator
#scicom #science #illustration #datavisualization

#30DayChartChallenge Day 10 Hybrid +Day 11 Circular within the Distribution theme. Mainly practice with circular arrangement: polar histogram + polar dot graphs + Sphere Van der Grinten projection
Data by @tommaso_jucker
+plots with #rstats + @qgis
final in Illustrator
#scicom #science #illustration #datavisualization

#TidyTuesday | Week 17 | London Marathon

A World Marathon Major is considered global (I think), and trying to predict the future is full of uncertainty...so going to count this one as #30DayChartChallenge | Day 25 | global change (uncertainties) too.

code: https://github.com/curatedmess/TidyTuesday/blob/main/2023/04252023/sub_two.R

#rstats #dataviz #ggplot2

Blog post describing the process of using {rvest} to get this data from Wikipedia: https://nrennie.rbind.io/blog/web-scraping-rvest-london-marathon/

I also looked at London Marathon data for the #30DayChartChallenge last year!

Code: https://github.com/nrennie/30DayChartChallenge/blob/main/2022/scripts/07_physical.R

For #Day25 of #30DayChartChallenge (Global change) a #dataviz to compare the impacts of various solutions to reach drawdown, the moment when greenhous gases concentrations in atmosphere stop ↗️ and start ↘️

Data from Project Drawdown

#RStats code https://github.com/BjnNowak/TidyTuesday/blob/main/SC_drawdown.R

#30DayChartChallenge | April 2023 - Day 23 | tiles

wikipedia daily page views for 2022...interesting pattern...school's out for summer 🤔

code: https://github.com/curatedmess/30DayChartChallenge/blob/main/2023/04232023/day_23.R

#ggplot #rstats #dataviz

#30DayChartChallenge | April 2023 - Day 22 | green energy

updated version with dates along ring...

code: https://github.com/curatedmess/30DayChartChallenge/blob/main/2023/04222023/day_22.R

#ggplot #rstats #dataviz

For #Day22 of #30DayChartChallenge (Time Series X Green energy) a #DataViz about plant biomass evaluation by🛰️images

🔗#RStats code https://github.com/BjnNowak/TidyTuesday/blob/main/SC_NDVI.R

#30DayChartChallenge | April 2023 - Day 21 | down/upwards

This graph shows the average number of days per decade with maximums > 30ºC in spring for an increase of 1.5ºC (SSP2-4.5) and 3ºC (SSP5-8.5). #climatechange

La próxima semana es esperan temperaturas muy elevadas, propias de mes de julio, pero, ¿Qué pasará en el futuro? 🥵

En este gráfico se ve el promedio de días por década con máximas > 30ºC para un aumento de 1.5ºC (SSP2-4.5) y 3ºC (SSP5-8.5). #CambioClimatico #rstats #dataviz

#30DayChartChallenge | April 2023 - Day 21 | down/upwards

last year my social feeds were all about NFTs...now it's all about chatGPT

code: https://github.com/curatedmess/30DayChartChallenge/blob/main/2023/04212023/day_21.R

#ggplot #rstats #dataviz

#Day21 of #30DayChartChallenge : Time seriesXDown/Up

A very long time series collected by Y. Aono to highlight the influence of human activities on cherry flowering. Fascinating process for data gathering!

#Rstats code https://github.com/BjnNowak/TidyTuesday/blob/main/SC_cherry.R

#30DayChartChallenge | April 2023 - Day 20 | correlation

sorta correlated

code: https://github.com/curatedmess/30DayChartChallenge/blob/main/2023/04202023/day_20.R

#ggplot #rstats #dataviz