Sometimes a good chart can do what a thousand thinkpieces can’t: make something click. The subreddit r/DataIsBeautiful is packed with visualizations that break down the world in clever ...

Cassie Shum, VP of Field Engineering at RelationalAI, joins host Keith Shaw on DEMO to showcase how enterprises can unlock ...

Graph data science is when you want to answer questions, not just with your data, but with the connections between your data points — that’s the 30-second explanation, according to Alicia Frame.

Or, if you can copy and paste the data from another source, you can produce a chart or graph in about 10 minutes (or less). Here’s how you do it.

Scatter graphs Scatter graphs are used to represent and compare two sets of data. By looking at a scatter graph, we can see whether there is any connection (correlation) between the two sets of data.

Graph databases’ best applications, he said, appear where query processing across complex networks of relationships is vital. He cites MDM, transport logistics and data lineage as such examples.

Drawing and interpreting graphs and charts is a skill used in many subjects. Learn how to do this in science with BBC Bitesize. For students between the ages of 11 and 14.

This is the numerical data that people have presented as graphs and tables and charts. For example, the data could be a graph in a PDF report, or a table in an Excel spreadsheet, or a barchart ...