# Choose the best visualization for your data 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. Number Line Bar Combo Pie Table Leaderboard Pipeline Funnel Heatmap Progress Radial Gauge Horizontal Bar Spider Bubble Data Story Text Image AI Summary Colors are assigned based on the metric value in relation to a target or maximum value: - **Green**: ≥ 100% - **Amber**: 75–99% - **Red**: < 75% For visualizations using a **goal**, progress is calculated relative to the selected date range. This means a metric can appear green early in the period if it's pacing well enough to hit the goal by the end of that range. 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. The average is calculated as the sum of all numeric (non-null) data points displayed on the chart, divided by the count of these points. This constant value is represented by a fixed horizontal line across the chart. If there are no data points, an average is not displayed. The line is calculated with the following linear function: **Y = aX + b**, where: `a = (n · Σ(xy) − (Σx · Σy)) / (n · Σ(x²) − (Σx)²)` `b = (Σy − (a · Σx)) / n` - **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. - **Σx**: Sum of all x values. - **Σ(x²)**: Sum of all x² values. - **Σy**: Sum of all y values. A maximum of 15 dimension values can be selected manually within a single dimension — for example, choosing 15 specific countries to display — a limit that applies to all visualization types. This is separate from breaking a metric down by multiple dimensions at once (such as country and browser together), which is limited to 10 dimensions and available only for dataset and merged dataset metrics. Yes, font size adjustments are supported for all visualizations and can be made in the Additional Settings panel. No, all visualizations, except for Notes and Image, require and will display the date range information. No, customization of the date range format and localization is not available at this time. No, the date range is fixed and is always displayed at the top left corner of the visualization. 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](/create-a-custom-metric) and selected [date range](/select-date-ranges). 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. Ask Genie Get instant answers or help with your data using the in-app AI assistant. Talk to an expert For customers: Get help with your setup, strategy, or making the most of Databox. Book a demo New to Databox? See how it works and get guidance on getting started. Send an email Reach out to support for help with your account, data, or technical issues.