Time series graphs visually highlight the behavior and patterns of the data. They allow you to easily identify patterns like trend, seasonality, and correlation.

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.

Graph works to discover and visualize connections in time series data, but when you're done with it, do you want to store that again as a graph? Probably not, you will want to use Cassandra.

The chart also populated with the data as soon as I selected the time-series keys. Behind the scenes, the SimpleJSON connector had called our application with appropriate queries ("/search" and ...

Time series graph showing daily hospital admissions from sample hospitals in England for patients with heart attack and acute heart failure. The graph also shows key dates in the COVID-19 story ...

Trend forecasting is quantitative forecasting, meaning its forecasting is based on tangible, concrete numbers from the past. It uses time series data, which is data where the numerical value is ...

The time series graphs show hospital admissions recorded by a sample of hospitals in England of the daily admissions of patients with a heart attack and acute heart failure. It also provides a ...