Milano R net

9th MilanoR Meeting – Dataviz with R | Photos and presentations!

Dec 18th, 2017 | By | Category: Italia R net, Milano R net, rante.org

Hello R-users, 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 […]

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9th MilanoR Meeting: November 20th

Nov 7th, 2017 | By | Category: Italia R net, Milano R net, rante.org

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
The post 9…



9th MilanoR meeting on November 20th: call for presentations!

Oct 23rd, 2017 | By | Category: Italia R net, Milano R net, rante.org

MilanoR Staff is happy to announce the 9th MilanoR Meeting! The meeting will take place on November 20th, from 7pm to about 9:30 pm, in Mikamai (close to the Pasteur metro station) [save the date, more info soon]. This time we want to focus on a specif…



RStudio meets MilanoR – Presentations, photos and video!

Jul 27th, 2017 | By | Category: Italia R net, Milano R net, rante.org

Hello R-users, On June 29th we had the great pleasure to host the RStudio in Milano at Impact Hub. It went absolutely well with great participation, thank you all! This post is just to give the materials to those of you who could not make it or just want to go through it again and […]

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How to build a color palette from any image with R and k-means algo

Jun 20th, 2017 | By | Category: Italia R net, Milano R net, rante.org

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.
The post How t…



RStudio meets MilanoR! June 29th, Milan

Jun 12th, 2017 | By | Category: Italia R net, Milano R net, rante.org

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…



R-Lab #3: A Shiny for the Milano Municipality Budget Data | Milan, May 27th

May 17th, 2017 | By | Category: Italia R net, Milano R net, rante.org

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.

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Earthquakes & Maps – Report and shinyapp from R-Lab#2

Apr 20th, 2017 | By | Category: Italia R net, Milano R net, rante.org

In R-Lab#2 we realized a Shinyapp that shows the earthquakes evolution over the Bove-Vettore fault. Here report, code, slides and app!

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8th MilanoR Meeting – Presentations, photos and video!

Apr 10th, 2017 | By | Category: Italia R net, Milano R net, rante.org

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 […]

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R-Lab #2: Shiny & maps + earthquakes | Milan, April 11th

Mar 30th, 2017 | By | Category: Italia R net, Milano R net, rante.org

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

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