Matteo Mekhail

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MEDICALE, INDUSTRIALE, DATA CENTER

Il prossimo <b>4 aprile</b>, a <b>Isola Vicentina</b>, avrà luogo il quarto appuntamento dell’anno con il Seminario <b>“Medicale, Industriale, Data Center. La</b> …

Helix Technologies Next Generation GNSS Antennas for driverless cars

Martusciello (Agcom): "Fake news, più responsabilità per Facebook & Co. Ecco come" - CorCom

All'indomani dell'iniziativa lanciata dalla Ue il Commissario Agcom fotografa a 360 gradi il fenomeno in rete. Il ruolo di news provider delle tech …

Examples

Example 2<p>This example addresses some more advanced issues. This time, it will be hard to directly see the causes of slowness, but we will be able to …

18 cattive abitudini da abbandonare per essere più produttivi

Samantha Lee/Business Insider<p>Essere più produttivi significa lavorare in maniera più intelligente, non lavorare di più, e ottenere il più possibile da ogni giornata. Sebbene non sia un’impresa facile, fare di più in meno tempo è un obiettivo molto più realizzabile se non vi autosabotate con cattive …

Static and dynamic network visualization with R

<b>[June 2017 update]</b> This tutorial is continuously updated and expanded. The latest version includes additional information (more on multiplex graphs, …

Data Visualization

Essentials

(Previously OnePageR)<p>A Survival Guide to Data Science with R – using <b>templates</b> to come up to speed and maintain your data science competencies.<p><i>See</i> …

Bubble Charts

New to Plotly?<p>Plotly's R library is free and open source! <br>Get started by downloading the client and reading the primer.<br>You can set up Plotly to work …

Data Visualization

Five Interactive R Visualizations With D3, ggplot2, & RStudio

Plotly has a new R API and ggplot2 library for making beautiful graphs. The API lets you produce interactive D3.js graphs with R. This post has five …

Statistical tools for data analysis and visualization

<b>Clustering methods</b> are used to identify groups of similar objects in a multivariate data sets collected from fields such as marketing, bio-medical …

Data Science

Visualizing DBSCAN Clustering

January 24, 2015<p>A previous post covered clustering with the k-means algorithm. In this post, we consider a fundamentally different, density-based …

Algorithms

Tracking down the Villains: Outlier Detection at Netflix

Shadows in the GlassFinding a Rabbit in a SnowstormHow DBSCAN WorksHow We Use DBSCAN <br>• Parameter SelectionInto the RingThe Ones We Leave BehindWorld on …

Snowstorms

Anomaly Detection in R

(This article was first published on <b>R - Data Science Heroes Blog</b>, and kindly contributed to R-bloggers)<p>Introduction<p>Inspired by this Netflix post, I …

Make R a Legitimate Part of Your Organization

by Nathan Stephens<p>How R Enters Through the Back Door<p>In many organizations, R enters through the back door when analysts download the free software …

Shiny - Articles

Start Your first Shiny app<p>We recommend that you start your Shiny journey with our beginner to intermediate tutorials. Then, you can refresh what you …

Shiny - Modularizing Shiny app code

As Shiny applications grow larger and more complicated, app authors frequently ask us for techniques, patterns, and recommendations for managing the …

Perché mi sveglio ogni mattina alle 5:30 (e quali benefici vi attendono, se deciderete di fare altrettanto)

Da qualche mese, ho preso una decisione che non avrei mai pensato di contemplare prima. Una decisione che avrà dei sicuri effetti sulle mie giornate, …

shinyBS

Install<p>Installing shinyBS is easy! You can install the stable version from CRAN or get the version with the latest features from github.<p>What's New<p>I …

Shiny - Gallery

Shiny User Showcase<p>The Shiny User Showcase contains an inspiring set of sophisticated apps developed and contributed by Shiny users.<p>Interactive …

Customizing dashboard appearance

Skins<p>There are a number of color themes, or skins. The default is blue, but there are also black, purple, green, red, and yellow. You can choose …

Friday function triple bill: with vs. within vs. transform

(This article was first published on <b>4D Pie Charts » R</b>, and kindly contributed to R-bloggers)<p>When you first learnt about data frames in R, I’m sure …

R Language

apply lapply rapply sapply functions in R

As part of Data Science with R, this is third tutorial after basic data types,control structures in r.<p>One of the issues with for loop is its memory …

R powered web applications with Shiny (a tutorial and cheat sheet with 40 example apps)

Shiny at its simplest<p>In its simplest form, a Shiny application requires a server function to do the calculations and a user interface. Below we have …

JavaScript

Profiling and benchmarking · Advanced R.

Optimising code<p>“Programmers waste enormous amounts of time thinking about, or worrying about, the speed of noncritical parts of their programs, and …

R for Deep Learning (I): Build Fully Connected Neural Network from Scratch

(This article was first published on <b> Blog – ParallelR</b>, and kindly contributed to R-bloggers)<i>I would like to thank Feiwen, Neil and all other</i> …

Deep Learning

visNetwork

Igraph

Since <b>visNetwork_0.2.1</b>, it’s possible to make the link between the features of package igraph and those of <b>visNetwork</b> :<p>Use igraph layout to compute …

More…

Export<p>Since <b>visNetwork_0.2.1</b>, you can use visSave() for save network in .html file, and visExport() to save as .png with <b>shiny</b> :

#112 Basic interactive histogram | plotly