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
_
— 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
Plot 17
Who were the top 10 exporters of major arms in 2017–21?
— SIPRI (@SIPRIorg) July 21, 2022
1) USA🇺🇸
2) Russia🇷🇺
3) France🇫🇷
4) China🇨🇳
5) Germany🇩🇪
6) Italy🇮🇹
7) UK🇬🇧
8) South Korea🇰🇷
9) Spain🇪🇸
10) Israel🇮🇱
Together they accounted for 91% of global arms exports. New SIPRI data out now ➡️ https://t.co/qJHF1csayc pic.twitter.com/WKErubEjO0
Plot 18
10% of the world‘s population own 75% of all wealth, get 50% of all income and are responsible for nearly half of all CO2 emissions. pic.twitter.com/4BTM8nl2nt
— Philipp Heimberger (@heimbergecon) May 3, 2022
Plot 19
With this chart, you can find your (approximate) percentile position in the global income distribution, as well as in the income distributions of 16 countries around the world. #dataviz pic.twitter.com/OYHq9H6jBc
— Ruben Mathisen (@rubenbmathisen) April 3, 2022
Plot 20
I wrote a NEW post for @OurWorldinData! Please share ☺️
— Saloni (@salonium) April 7, 2022
➡️ When do people experience depression for the first time? When are they first diagnosed?
Highlight: People are being diagnosed with depression at an earlier age than in the past. (thread)https://t.co/8eWfK42Ct9 pic.twitter.com/xqEtQ1ZB4x
Plot 21
Observed temperature changes for 196 countries around the world paints a stark picture.
— Ed Hawkins (@ed_hawkins) February 3, 2022
Everywhere is warming. Risks from heatwaves are increasing. Impacts on people & ecosystems are intensifying.
Halting the warming requires rapid cuts in carbon emissions. pic.twitter.com/ZRcvnhm4BL
Plot 22
Sale prices of used #iPhone. #dataviz
— Randy Olson (@randal_olson) October 21, 2021
Source: https://t.co/LbR412aPem pic.twitter.com/iW7SOFlGMC