Below are some images generated by an algorithm that I originally created to study stocks. The stock in this case is Yahoo! in the early 2000s. I realize that none of these images resemble conventional stock market patterns. Keep in mind that algorithms by nature interact with the data. They don't simply restate the numbers in graphical form. An algorithm designed to deal with historical stock trading data can be modified to deal with the data in real-time. However, there is no inherent…Continue
Data visualisation is the process of displaying data in visual formats such as charts, graphs or maps. This method is commonly used to grasp more meaning out of a snapshot of data which in other approaches might require sorting through piles of spreadsheets and great quantity of reports. With the amount of data growing rapidly it is more important than ever to interpret all of this information correctly and quickly to make well-informed business decisions.
Graph visualisation has a…Continue
Big Data is, as the adjective suggests, is quite large. Businesses are asked to leverage all sorts of data and data types to make decisions and insights on where to move forward. In years past, making sense of Big Data was the purview of engineers and statisticians who spent the better part of a decade studying these patterns and numbers. But, in recent years, software developers have attempted to cut the middle man out. Data analytics is now becoming more accessible to those even if they…Continue
Added by Brian Horvath on November 9, 2015 at 11:30pm — No Comments
Smart organizations are using the power of data science and data produced by embedded sensors and machine devices to better measure performance, discover patterns, prevent problems, and improve…Continue