Data visualization is the graphical representation of information and data via visual elements like charts, graphs, and maps. It allows decision-makers to understand and communicate complex ideas ...

Since graph data is stored irregularly, this leads to irregular memory access patterns, degrading computational efficiency and increasing energy consumption.

CEO and co-founder Emil Eifrem said that Neo4j, which was founded back in 2007, has hit its growth stride in recent years given the rising popularity of graph-based analysis.

The evolving landscape of data architecture has shifted in the past two years with the arrival of AI capabilities -- ...

Learn how to identify and trade key chart patterns like head & shoulders, triangles, and flags. Gain confidence with pattern-based setups, confirmations, and risk management strategies.

Data analysis: Once data is cleaned, it is analyzed to look for data patterns, trends and relationships. Analysts should try to spot opportunities and risks in the data at this time.

Proponents of technical analysis believe that there is a large set of identifiable patterns that can reliably – though not definitively – predict both short- and long-term stock price moves.

A version of this article appears in print on July 14, 2023, Section B, Page 6 of the New York edition with the headline: ChatGPT’s New Code Interpreter Feature Is Big Step Forward in Data Analysis.