Great painters can teach us a lot about how to compose a good palet for our plot. That is why we look here at a way to algorithmically derive a colour palette from any jpeg image. Application of derived palettes on ggplot is also showed.
Hello R-Users, we have a great news! We are going to host Nathan Stephens and Joseph Rickert from RStudio and R Consortium: they are coming to Milano just for us (from USA) to meet the MilanoR community and talk about the latest news from RStudio and R Consortium
We are ready for the third R-Lab, the monthly appointment where we co-work together on a real data science problem using R. This time the R-Lab is promoted by nothing but the Assessorato alla Partecipazione, Cittadinanza Attiva e Open Data of the Comune di Milano! We will access their municipality budget data, and use one day of joint work for designing and realizing an R Shiny app that allows citizens to visualize and explore the city revenues and spending info.
In R-Lab#2 we realized a Shinyapp that shows the earthquakes evolution over the Bove-Vettore fault. Here report, code, slides and app!
Hello R-users <3
The 8th MilanoR Meeting was great! Thank you very much for your interest and participation!
A short recap for those who weren't there: the meeting was last Wednesday evening at the Microsoft House (a very nice location, thanks @dr_mattia for your support!).
We had two exceptional speakers: Stefano Iacus, member of the R Foundation and funder of Voices from the blogs, and Romain François, historical author of the package Rcpp and data active at Thinkr, who came all the way from Paris for us.
The R-Labs are monthly evening meetings where we co-work together on a real data science problem, hands on code. We are ready for the R-Lab#2, on April 11th!
With the help of EarthCloud, we will try to map the earthquakes that happened over a specific fault, to study the fault evolution over time and provide qualitative and quantitative insights about it. To achieve this goal, we will review and use Shiny, the R framework for interactive visualization, and R packeges for maps as ggmap and Leaflet
MilanoR is a free event, open to all R users and enthusiasts or those who wish to learn more about R. The meeting consists of two talks (this time one about big data and and one about statistical learning) + a free buffet and networking time
Great news for the MilanoR community: we are launching R-Lab, a monthly R project of co-working with R on real data science projects.
Either if you are an R expert, a beginner, or you just curious, you are welcome to join us! The first event will be on March 14th, in Mikamai, Milano. We will introduce the R-Lab project and then go to the theme of the day: "RStudio addins: a shortcut to your favourite functionalities"
R has become an essential tool in oceanography and marine ecology. For instance, R is specifically used to read, process and represent in situ oceanographic data and to manage satellite data in order to produce high temporal and spatial resolution maps useful to synoptically explore and monitoring vast areas of the world oceans. In this post we briefly describe a practical use of R in conjunction with satellite data to identify marine bioregions of the Labrador Sea with different patters in the phytoplankton seasonal cycle.
Microsoft, in collaboration with Quantide, is offering a one-day live course in Milano: a wide overview of R as a data science tool, in a free class, open to everybody.