Data visualization with ggplot2
Nice plots with ggplot2
Plot 1
The number of confirmed cases in America has surpassed 4m, with new infections increasing at an alarming rate of 70,000 a day https://t.co/B8n28qG0PR
— The Economist (@TheEconomist) July 25, 2020
Plot 2
Most Americans support gender equality, even if they don’t identify as feminists https://t.co/Kzr9d4260t pic.twitter.com/q4XmJzN0QA
— Pew Research Fact Tank (@FactTank) July 19, 2020
Plot 3
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— Richard Baldwin (@BaldwinRE) July 20, 2020
C19 in Africa @FT #COVID19 pic.twitter.com/nhsNrEcyYn
Plot 4
En #escovid19data recopilamos en muchas CCAA datos "del día", esto es, publicados en notas de prensa que luego no vuelven a revisarse. Para ver la diferencia con las series que publica RENAVE (@SaludISCIII) he hecho esta comparativa. Casos PCR+ diarios (media ventana 7 días) 🔽 pic.twitter.com/c9w0NkS4It
— numeroteca (@numeroteca) September 6, 2020
Plot 5
Bacelonès MOLT per sobre dels 50 positius / 100.000hab i setmana
— Gerard Giménez i Adsuar (@gmnzgerard) July 19, 2020
Són molt males notícies.
Les bones: El Segrià mostra signes que la R pot estar propera a 1.
Dit això, s'ha arribat a més de 400 positius /100.000hab i setm pic.twitter.com/CHkOJTLBPW
Plot 6
Love this chart, via @jpiacenza, showing consumer professed comfort with various activities. People are more and more open to venturing out as the days go on, but OTOH, it's still a long way from anything resembling normal. https://t.co/fPCMA2sImr pic.twitter.com/crvsa6N3Z2
— Joe Weisenthal (@TheStalwart) June 9, 2020
Plot 7
Sub-state regions. Confirmed Covid-19 cases per million. 7 day rolling average. pic.twitter.com/J3ckgUOTP8
— Joe Brew (@joethebrew) August 22, 2020
Plot 8
Una altra manera de visualitzar els "focs" que hi ha a Catalunya:
— Gerard Giménez i Adsuar (@gmnzgerard) July 31, 2020
Cada rectangle és un dia
Com més fosc, més casos diaris per 100.000hab.
Veiem com el Segrià passa de molt fosc a clar i també com moltes comarques no tenen casos. pic.twitter.com/2oVQnRTI4s
Plot 9
Incidència (per població, 7 dies) per CCAA. pic.twitter.com/QUYfId3DOt
— Joe Brew (@joethebrew) October 18, 2020
Plot 10
Incidència setmanal (casos confirmats) per 100.000.
— Joe Brew (@joethebrew) July 31, 2020
-Mapes fet en R
-Animació amb ImageMagick
-Dades de https://t.co/cKHzL1r5SP pic.twitter.com/LxLLuojcV9
Plot 11
I'm still amazed by this #dataviz piece by @gabrieldance et. al https://t.co/4waUgLX5CK pic.twitter.com/KWakB3kWmk
— Alberto Cairo (@AlbertoCairo) September 28, 2020
Plot 12
A y-axis on the left is almost always the default, while the most recent and usually most relevant data are on the right. Then shouldn't a y-axis on the right be the default (when there are no data labels), to improve legibility? pic.twitter.com/Gt5DmvguyH
— Maarten Lambrechts (@maartenzam) September 17, 2020
Plot 13
The rise and fall of the Washington consensus narrative in IMF reports.
— Branko Milanovic (@BrankoMilan) January 31, 2021
Most interesting paper, sifting through 00s of IMF reports (by R Cherif, M Engher, F Hasanov)https://t.co/sMJqaB2JaB pic.twitter.com/UfGi3osOvk
Plot 14
16 of 21 presidents in our analysis, dating to Theodore Roosevelt, have enjoyed single-party control of the executive and legislative branches at the start of their first term. The five exceptions were all Republicans. https://t.co/XVhwngwNDg pic.twitter.com/9ZOQHKOWK1
— Pew Research Fact Tank (@FactTank) February 3, 2021
Plot 15
tocant les últimes dades de #covid19 a #Catalunya, he creat un grid per posar cada gràfic de cada comarca en una espècie de mapa.
— Laura Navarro (@LauraNavarroSol) December 22, 2020
Si treballeu amb R i voleu fer-ho, he penjat el codi :)
👉https://t.co/cA1GaELeI4
#ddj #dataviz #ggplot #geofacet pic.twitter.com/vtoQC16LWm
Plot 16
Our new intl study: Very strong public support for the Paris Climate Agreement, from 96% in Costa Rica to 74% in the USA, in a survey of Facebook users in 31 countries and territories worldwide. #ClimateAction https://t.co/spJ3QZ9FLH pic.twitter.com/jMOfRkqNuW
— Anthony Leiserowitz (@ecotone2) April 21, 2021