This post will be about if we can show some data in other ways to try to
tell more clearly the Oh! Foo! is this rly happening? story.
Time time ago an gif appears showing the change of the global temperatures
Well, some sites like http://gizmodo.com/ made a reference to this animation
Mmmm… ok! A kind of...
In part 1, we went over how to use data visualization and data analysis prior to machine learning. For example, we discussed how to visualize the data to identify potential issues in the dataset, examine the variable distributions, etc. In this blog post, we’ll continue by building a very simple model and using data visualization
Introduction The new R package, manhattanly, creates interactive manhattan plots using the plotly.js engine. The plots are usable from the R console, the RStudio viewer pane, R Markdown documents, in Shiny apps, embeddable in websites and can be exported as .png files. By hovering the mouse over a point, you can see annotation information such
In every statistical analysis, the first thing one should do is try and visualise the data before any modeling. In microarray studies, a common visualisation is a heatmap of gene expression data. In this post I simulate some gene expression data and visualise it using the heatmaply package in R by Tal Galili. This package
Today we’re excited to announce flexdashboard, a new package that enables you to easily create flexible, attractive, interactive dashboards with R. Authoring and customization of dashboards is done using R Markdown and you can optionally include Shiny components for additional interactivity. Highlights of the flexdashboard package include: Support for a wide variety of components including interactive htmlwidgets; base, lattice, and
Today is my birthday and it happened to be the release day of Bioconductor 3.3. It’s again the time to reflect what I’ve done in the past year.
Although ChIPseeker was designed for ChIP-seq annotation, I am very glad to find that someone else use it to annotate other data including
I’ve been staring at this homeless data set for a few weeks now since I’m using it both here and in the data science class I’m teaching. It’s been one of the most mindful data sets I’ve worked with in a while. Even when reduced to pure numbers in named columns, the names really stick... Continue reading →
IntroductionSo, I'm not really a geographer. But any good analyst worth their salt will eventually have to do some kind of mapping or spatial visualization. Mapping is not really a forte of mine, though I have played around with it some in the past.I was working with some shapefile data a while ago and thought about how...
Recently, professional sports associations and teams have made big strides towards leveraging data to inform both personel and on-the-field decision making. While the four major leagues (NBA, NFL, MLB, NHL) vary in terms of where they are in that process, most people would argue that the NBA is at the forefront of this movement. If you have never heard...
R 3.2.4 (codename “Very Secure Dishes”) was released today. You can get the latest binaries version from here. (or the .tar.gz source code from here). The full list of new features and bug fixes is provided below. Upgrading to R 3.2.4 on Windows If you are using Windows you can easily upgrade to the latest version of R using the installr … Continue reading...