Discover how data visualizations transform raw numbers into clear insights. This reference lists all available types to help you choose the best option.
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Data visualizations are powerful tools that turn raw numbers into meaningful insights, helping users interpret complex data quickly and efficiently. With a wide range of visualization types available, choosing the right one depends on the kind of information you want to convey. Whether you’re looking to show trends, compare values, display distributions, or highlight relationships, understanding the various categories of visualizations can help you present your data more effectively. This article serves as a central reference, listing all available visualizations as presented in the application, to help you quickly find the best options for effectively presenting your data insights.
Visualization Library
Below is a comprehensive list of available visualizations. Clicking on each icon will open the relevant article, providing detailed descriptions, feature information, considerations, and use cases for the selected visualization.
Frequently Asked Questions
How does the sort function handle text with numbers?
When comparing or sorting text that includes both letters and numbers, sorting systems often compare each character by its internal byte value, or code, rather than treating numbers as actual numerical values. This means that, in mixed text, numbers might not be ordered as you’d expect.
For example, when sorting "hello2" and "hello10", the system goes character-by-character. It starts by comparing the letters "hello" in both strings (which are the same), and then moves on to compare "2" and "1" from "10". Since the byte value for "2" is actually higher than "1", "hello10" might be sorted before "hello2", even though numerically 10 is greater than 2.
How is the average line calculated in time series charts?
How is the trend line calculated in time series charts?
The line is calculated with the following linear function: Y = aX + b, where:
- Y: The trend line value.
- X: The trend data point to be calculated.
- n: Total number of numeric (non-null) data points.
- Σ(xy): Sum of the product of each x and y.
- Σ(x): Sum of all x values.
- Σ(x2): Sum of all x2 values.
- Σ(y): Sum of all y values.
How many dimensions can be manually selected in a visualization?
A maximum of 15 dimensions can be selected manually, a limit that applies to all visualization types.
Is it possible to adjust the font size in the visualization?
Yes, font size adjustments are supported for all visualizations and can be made in the Additional Settings panel.
Is it possible to hide the selected date range in the visualization?
No, all visualizations, except for Notes and Image, require and will display the date range information.
Is it possible to modify or localize the format of the date range information?
No, customization of the date range format and localization is not available at this time.
Is it possible to reposition the date range information within the visualization?
No, the date range is fixed and is always displayed at the top left corner of the visualization.
Why the total is not always displayed above a chart?
You can toggle the visibility of the total in the block's settings via the Show total number control. Totals are calculated based on the metric type and date range selection. If no total is displayed, tit could be because
Why is the total not showing up on the chart?
The visibility of the total can be toggled in the block’s settings under the Show total number above option. Totals are calculated based on the metric type and selected date range. If no total appears, it may be due to one of the following:
- The data provider does not support aggregate totals for the selected date range.
- For calculated metrics, there isn’t enough data to determine the net difference for the selected range.
- Databox does not combine multiple dimension values into a single total. Values can be stacked on the visualization, but they cannot be aggregated.
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