The rasterList package has been created to make complex operation on spatially gridded region. Here's how to use it when analysing raster data.
Want to get hands-on experience with R and explore new Data Science project? On 13 May we're hosting a R for Data Science workshop, come and join us!
Already nostalgic of our last MilanoR Meetup? Check out some photos, resources and the highlights of the night.
What’s the real value of a data product? Let's find out together at our MilanoR Meetup, the ideal occasion to know new R Users and share some knowledge!
Can you track your health status and your BMI simply by entering some personal data? Let's see how we did it with a brand new Shiny app.
On November 20th we had the pleasure to host the 9th MilanoR meeting in Mikamai! Lots of you participated with passion and enthusiasm and we’re so glad of the outcome. Thank you all, from the bottom of our hearts! This time the meeting focused on a thrilling and very useful subject: Data Visualization. This post is thought for you who participated and want to look through the materials again, and for everyone who could not make it.
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.
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.
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.
Dear R users,
the May 2014 public training course schedule for Milano (Italy) based courses is as follows:
|Web Applications with R and Shiny||May 15, 2014|
|Reports in R with RStudio||May 16, 2014|
|Basic R Programming||May 22, 2014|
|Data Visualization with R||May 23, 2014|