Getting Started with pandas a powerful Python data analysis toolkit
1. Introduction Pandas First, Pandas is an open source Python library for data analysis. It contains data manipulation and data structures tools designed to make spreadsh...
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DSC Webinar Series: Developing and Testing Shiny Apps
Shiny is the most popular framework among R users for developing dashboards and web applications. It is commonly used by statisticians and data scientists to present and ...
Tech Target Acquires Data Science Central
We are very happy to announce that DSC has found a new home: Tech Target (Nasdaq: TTGT), the global leader in purchase intent-driven marketing and sales services, has a 2...
How to leverage Natural Language Processing (NLP) for business processes optimization
Chatbots, voice-activated assistants and other AI-powered devices have been in use for over a decade. Over this time, human-to-machine interactions improved due to sophis...
Multi-Dimensional Frequencies with R data.table.
A few years ago, in a Q&A session following a presentation I gave on data analysis (DA) to a group of college recruits for my then consulting company, I was asked to ...
Different Understanding of Michelson-Morley Experiment
An unpublished experimental report may have an interesting new way to understand the unexpected result of the Michelson-Morley Experiment of 1887. The new understanding...
An introduction to Cloud Native applications and Kubernetes
Introduction Kubernetes is being described as the next ‘Java’ i.e. it is fast becoming an endemic/ underlying platform for the whole industry just like the Java progr...
Data Storage at the Edge: Typologies and Attributes
Edge computing is a hot topic and carries with it some confusion, particularly around storage. Handling data properly at the edge can ensure a scalable, cost-effective an...
ELAINE use case – Improving statistical prediction on financial market with Symbolic Logic
In my previous post, I introduced the ELAINE Community Tool that can be used to discover variables from textual communications. Statistical predictors work well for chart...
Finding organic clusters in complex data-networks
This article was written by Graph Commons. A common task for a data scientist is to identify clusters in a given data set. The idea is to simply find groups of objects th...