◆ Using record time-series charts
The record time-series charts are the best way to see the time-series trends of all data at once. These charts visualize each record in a dataset as a line, which the line path based on the values of the record over time.
You can highlight, filter, compare across multiple selections (such as countries by region), change across many different types of rich charts with a single click, and get rich tooltips on mouse-over.
Learn how to quickly add a time-series chart into the dashboard.
Adjusting Time-Series Visualizations
In time-series visualizations, the time-range, axis options, coloring (by groups), and mouse-selection modes can be adjusted eaasily.
- Time-series chart offers three main plot types. Each plot type offers a different unique perspective on understanding the data status and changes over time.
- Controlling the time-range is one of the key configurations for analyzing data with a time-series chart.
- Slope chart show changes in data from one selected time to another, removing all other data in-between for a simplified view of data.
- Axis scale extent control lets you fit the time-series value axis to full dataset, or filtered part of the dataset.
- By comparing record groups, you can assign colors to each record line to visualize how each record belongs within the groups.
- Mouse-over interaction is key to provide additional rich context and information on demand for accurate analysis.
Animating time-series charts over time is an engaging storytelling tool which uses smoothly animated lines and text label positions that gradually reveal the data trends.
Time-series data can also be analyzed over record lists, maps, and scatter plots.