October 2017

Bio7 2.6 for Windows and Linux Released

October 17, 2017 | R – Bio7 Website

17.10.2017 A new version of Bio7 for Windows and Linux is available. The MacOSX version will be released soon, too. The application Bio7 is an integrated development environment for ecological modelling, scientific image analysis and statistical analysis. Beside many different tools it contains a complete Graphical User Interface for R. The ... [Read more...]

Astrostatistics school

October 17, 2017 | xi'an

What a wonderful week at the Astrostat [Indian] summer school in Autrans! The setting was superb, on the high Vercors plateau overlooking both Grenoble [north] and Valence [west], with the colours of the Fall at their brightest on the foliage of the forests rising on both sides of the valley ...
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Data from Public Bicycle Hire Systems

October 17, 2017 | Mark Padgham

A new rOpenSci package provides access to data to which users may already have directly contributed, and for which contribution is fun, keeps you fit, and helps made the world a better place. The data come from using public bicycle hire schemes, and the package is called bikedata. Public bicycle ... [Read more...]

An Analysis of NYC311 Noise Complaints

October 16, 2017 | M. Aaron Owen

Introduction Launched in 2003, NYC311 is an information hub created by the New York City government that provides information on and access to over 3600 non-emergency […] The post An Analysis of NYC311 Noise Complaints appeared first on NYC Data Science Academy Blog.
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7 Interactive Bioinformatics Plots made in Python and R

October 16, 2017 | modern.data

Plotly serves a large bioinformatics and biostats research community. These users leverage the uniquely interactive features of plotly charts for dendrograms, heatmaps, volcano plots, and other visualizations common in this field. Here are 7 resources in Python and R created by plotly bioinformatics and biostats researchers. 1. Jupyter notebook: Visualizing bioinformatics data ... [Read more...]

Data acquisition in R (1/4)

October 16, 2017 | Ilya Kashnitsky

R is an incredible tool for reproducible research. In the present series of blog posts I want to show how one can easily acquire data within an R session, documenting every step in a fully reproducible way. There are numerous data acquisition options for R users. Of course, I do ...
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My interview with ROpenSci

October 16, 2017 | David Smith

The ROpenSci team has started publishing a new series of interviews with the goal of “demystifying the creative and development processes of R community members”. I had the great pleasure of being interviewed by Kelly O'Briant earlier this year, and the interview was published on Friday. Thanks for being a ... [Read more...]

Markets Performance after Election

October 15, 2017 | quintuitive

Coming back to markets and trading (after a while), the feeling has been that the markets, and the economy as a whole, are doing good. How good? Since I haven’t been following things closely, I had to do some forensics. Friday was the 234th trading day after the election. ... [Read more...]

Citibike Business Opportunity: Advertising

October 15, 2017 | Josh Yoon

Introduction It is hard to wander around New York City without seeing rows of dozens of bright blue Citibikes planted in the middle of busiest nooks […] The post Citibike Business Opportunity: Advertising appeared first on NYC Data Science Academy Blog.
[Read more...]

Citibike Business Opportunity: Advertising

October 15, 2017 | Josh Yoon

Introduction It is hard to wander around New York City without seeing rows of dozens of bright blue Citibikes planted in the middle of busiest nooks […] The post Citibike Business Opportunity: Advertising appeared first on NYC Data Science Academy Blog. [Read more...]

Barplot with ggplot2/plotly

October 15, 2017 | rdata.lu Blog | Data science with R

Hello everyones, I just finished my MOOC on Foundations of strategic business analitycs. It was interresting and at the end of this course, I had to present a graph that was suppose to be relevent for a business organization. Different datasets were availables: speed dating, Co2 emissons, bike sharing, loans, ... [Read more...]
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