shinyHeatmaply – a shiny app for creating interactive cluster heatmaps
My friend Jonathan Sidi and I (Tal Galili) are pleased to announce the release of shinyHeatmaply (0.1.0): a new Shiny application (and Shiny gadget) for creating interactive cluster heatmaps. shinyHeatmaply is based on the heatmaply R package which strives to make it easy as possible to... Read more
Useful Functions in R
I have listed some useful functions below: with() The with( ) function applys an expression to a dataset. It is similar to DATA= in SAS. # with(data, expression) # example applying a t-test to a data frame mydata with(mydata, t.test(y ~ group)) Please look at other... Read more
ftfy (fixes text for you) 4.4 and 5.0
ftfy is Luminoso’s open-source Unicode-fixing library for Python. Luminoso’s biggest open-source project is ConceptNet, but we also use this blog to provide updates on our other open-source projects. And among these projects, ftfy is certainly the most widely used. It solves a problem a lot of... Read more
xda: R package for exploratory data analysis
This package contains several tools to perform initial exploratory analysis on any input dataset. It includes custom functions for plotting the data as well as performing different kinds of analyses such as univariate, bivariate and multivariate investigation which is the first step of any predictive modeling... Read more
Within soccer’s nascent analytics movement, one metric dominates most discussions. It’s called Expected Goals or xG. Models for calculating xG differ, but the underlying concept is the same. In a nutshell, xG takes a shot’s characteristics – distance from goal, angle from goal, root cause, etc.... Read more
Over time, Python and R have established themselves as the leading languages for Data Science. The rise of both has not been frictionless, though, as the two communities have ‘clashed’ over philosophical differences as each side recruits Data Science newcomers. R users will recommend that R... Read more
Data science is an interdisciplinary endeavor, and it serves the purpose of extracting insight from varying sources of information. Various communities come together at Data Science Conferences to share their knowledge and promote innovation. It is not surprising, then, that the tools showcased by data scientists... Read more
Intro to Text mining using R
Abstract: Attendees will learn the foundations of text mining approaches in addition to learn basic text mining scripting functions used in R. The audience will learn what text mining is, then perform primary text mining such as keyword scanning, dendogram and word cloud creation. Later participants... Read more
Using Open Source Solutions in Sports Business Operations – Matthew Wills ODSC Boston 2015
Using Open Source Solutions in Sports Business Operations from odsc This presentation will overview how the Grizzlies apply the use of R to their sales and marketing business operations. From basic data manipulation, to statistical modeling and enhanced visualization, the Grizzlies utilize R as a tool... Read more
Intro to Text Mining Using tm, openNLP and topicmodels – Ted Kwartler ODSC Boston 2015
Intro to Text Mining Using tm, openNLP and topicmodels from odsc You will learn how modern customer service organizations use data to understand important customer attributes and how R is used for workforce optimization. Topics include real world examples of how R is used in large... Read more