Data analytics is the science of analyzing raw data to make conclusions about that information. It helps businesses perform ...

Time series data is already ubiquitous, as it lies in every part of today’s digital businesses, but it has yet to reach its full potential within most organizations.

But time series graphs in most user-friendly analytics solutions have a fatal flaw. If you needed to know how sustainable a trend is, statistical details are not immediately visible in the tools.

Thus it is a sequence of discrete-time data. Examples of time series are heights of ocean tides, counts of sunspots, and the daily closing value of the Dow Jones Industrial Average.

Visualizing time series data is often the first step in observing trends that can guide time series modeling and analysis.

Learn how to do time series regression using a neural network, with 'rolling window' data, coded from scratch, using Python.

Using a time series layer to histograms and box and whisker plot visualizations can add true diagnostic value. This is part three of a three-part series about Bing's data distribution tools.

Review Article Published: 18 July 2012 Studying and modelling dynamic biological processes using time-series gene expression data Ziv Bar-Joseph, Anthony Gitter & Itamar Simon Nature Reviews ...