The type of visualization you choose depends on what kind of data you have, what questions you want to answer, and how you want to present your insights.

Here are some suggested charts you might use to answer different questions.

Symon.AI has many options to show changes to values over time. If you're looking to show data broken down by sub-groups, try out a stacked area step line chart. If you want to show irregularities in changes over time, use a step line chart.

Both stacked area step line charts and stacked area smooth line charts show a starting set of values, and then use shading to show values above that starting set.

To understand the frequency of values, use a histogram. To show the frequency of events within a group, use a boxplot.

A forecasting chart displays the actual historical values, fitted historical values, predicted future values, and the shaded confidence interval. You can use this visualization with any tool in Symon.AI.

A waterfall chart can help you understand what variables affect your predictions, as well as the cumulative effects of values. Waterfall charts are often used to show changes in revenue across two periods of time.

Radar charts can be helpful for showing budgets.

Use these charts to show ranked values or the relative value of different grouped categories.

Use these charts when you want to show how the proportion of different groupings relates to one another.

Use maps to show spatial data and scatter maps to show precise locations on a map.

Scatter plots are good for exploring relationships between two variables.

A candlestick chart shows price movements for a security, derivative, or currency.

A Sankey diagram shows how sets of values flow from one another.

A heat map uses color to show how a variable is clustered or occurs most frequently.