The DataMind platform consists of two parts: a front-end application, which our users see on their pc, laptop or tablet and that runs in their browser; and a collection of backend applications that handle all the interaction between users and the platform
The Google Ngram Viewer is a tool for tracking the frequency of words or phrases across the vast collection of scanned texts in Google Books. As an example, the chart below shows the frequency of the words “Marx” and “Freud”. It appears that Marx peaked in population in the late 1970s and had been in decline ever since. Freud persisted for a decade longer but has likewise been in decline.
Now, granted this is a pretty dumb example, and it's easy to rewrite this to perform better than the bash example (i.e. don’t use a loop and just use awk which is 3x faster than the pure bash solution). So, think about what your doing, use a pipe over a loop, and if you can’t do that, try to find a built-in that can take care of your needs.
R provides us with excellent resources to mine data, and there are some good overviews out there: Yanchang’s website with Examples and a nice reference card The rattle-package that introduces a nice GUI for R, and Graham William’s compendium of...
‘Julia‘, which aims to be a high-level language with performance approaching that of C. With that goal in mind, Julia could be a replacement for the ‘multi-language’ problem of needing to move between R, Python, MATLAB, C, Fortran, Scala, etc. within a single scientific programming project. Here are some observations that might be helpful for others looking to get started with Julia.
This example will walk through the steps of using the R package igraph to create a tree network for a sankey diagram. This is a great exercise to learn some basics of igraph, explore the construction of a sankey, and determine the conditions for a network to be drawn properly as a sankey. After all of this, we will plot our network with the rCharts implementation of the d3.js sankey plugin.
Becoming a data scientist a journey; for sure a challenging one. But how do you go about becoming one? Where to start? When do you start seeing light at the end of the tunnel? What is the learning roadmap?
Sharing your scoops to your social media accounts is a must to distribute your curated content. Not only will it drive traffic and leads through your content, but it will help show your expertise with your followers.
How to integrate my topics' content to my website?
Integrating your curated content to your website or blog will allow you to increase your website visitors’ engagement, boost SEO and acquire new visitors. By redirecting your social media traffic to your website, Scoop.it will also help you generate more qualified traffic and leads from your curation work.
Distributing your curated content through a newsletter is a great way to nurture and engage your email subscribers will developing your traffic and visibility.
Creating engaging newsletters with your curated content is really easy.