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.

Time series data is ordered, ... In a basic example, the company correlates weather data (which is also time series data) with energy usage data to predict the energy needs of individual buildings.

For example, you decompose time series data to separate the data into visuals displaying three derived graphs — one for trend, one for seasonal and one for cyclical trends.

The newer data analysis engines often include tools specifically built for time-series data. For example, Microsoft’s Data Mining tool for its SQL Server has a collection of functions that can ...

A time series is a sequence of numerical data points in successive order. In investing, it tracks the movement of the chosen data points at regular intervals and over a specified period of time.

Time series databases are purpose built for handling time series data such as time stamped metrics or measurements. These databases can measure changes in data over a progression of time through ...

InfluxDB 3 isn’t just a faster database, it’s the start of a new model for building with time series data. We’ve made it open, programmable, and flexible enough to support everything from ...

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.

Time-series data from 16S rDNA amplicon sequencing are becoming more common within microbial ecology, but methods to infer ecological interactions from these longitudinal data are limited.