Can be used with categorical, sequential or time-series data. Bubble size and location combine to effectively display 3-D data on a 2-D chart. Bubble charts can also be displayed in quadrants, allowing for negative X and Y values.
Scatter
A scatter plot (points not joined) chart that allows the charting of 2 related attribute series. Can only be used if the data series are related. Useful for seeing trends in data that is not linear.
Histogram
Shows the number of times a given value occurs in the dataset.
Box & Whisker
A chart which gives a quick overview of series of values and their statistical properties.
Trellis
A segmented chart for which the behaviour is determined by the data selected.
Heat Grid
Plots the intensity of a metric across multiple categories.
You want to highlight values for easy comparison and plot your numbers horizontally. Use a bar chart to place less emphasis on time and focus on comparing values.
3D Horizontal Bar
Similar to the horizontal bar chart, but in three a dimensional form.
Stacked Horizontal Bar
Categorical data, grouped or stacked to assist comparison. Use when part-to-whole comparison is important.
Horizontal Cylinder
Similar to the horizontal bar, but having chart components shown in cylindrical form.
Proportional Bar
Displays how close values in different categories came to the highest category value.
You want to highlight values for easy comparison and plot your numbers vertically. Use a column chart to place less emphasis on time and focus on comparing values.
3D Vertical Bar
Similar to the vertical bar chart, but in three dimensional form.
Stacked Vertical Bar
Also referred to as stacked column charts and used when part-to-whole comparison is important.
Cylinder
Similar to the vertical bar, but having chart components shown in cylindrical form.
3D Stacked Vertical Bar
Similar to the 3d stacked vertical bar chart, but in three dimensional form.
Layered
Compares the contribution of each value to a total across categories.
Combination charts, in effect, superimpose one chart type above or below another. Use to improve clarity and highlight relationships between data sets.
Overlay Chart
Use the line chart to emphasize a trend and bars to emphasize specific values. Line/Bar combinations may work better by de-emphasizing bars through the use of subtle colours.
If you do not have GIS defined columns you can use the Image Maps to create heat maps - these are a good way to display metrics with a spatial element such as Revenue by State or Country You will only be able to render maps for which an image map has been defined.
Google Maps
Google Maps allow you to render location data points onto a Google map which will be displayed as a Yellowfin Chart - along with associated Google map widgets. You will have to have a Google Map Key to use this type of chart
GIS Google Maps
A Google map which uses GIS data for its marker coordinates.
GIS Maps
GIS Maps allow the rendering of complex GIS polygons. These can be used to render spatial reports on the fly based on the GIS data available in a report.
GIS Bubble Map
A bubble map in which bubble positions are specified by GIS points.
GIS Heat Map
A heat map where colours representing GIS points are blended based on intensity.
You want to show the relationship of parts to the whole. Use a pie chart to highlight proportions rather than actual values. If it is important to show actual values in the chart, avoid using the pie chart type.
3D Pie
Similar to the pie chart, but in three a dimensional form.
Multi Pie
Used to highlight individual component sizes in a system of multiple components.
Ring
Similar to the pie chart, but in a circular ring form.
Displays segments on an image, with the segment size representing metric value.
Comparative Infographic
Displays images sized in such a way to correspond to a metric.
Radar
You want to compare data by integrating multiple axes into a single radial figure.
Waterfall
Waterfall charts are a special type of Floating Column Chart. A typical waterfall chart shows how an initial value is increased and decreased by a series of intermediate values, leading to a final value.
Event
Maps the occurrence of events against the values of a numeric data set over time.
Week Density
Shows the density of occurrences based on hour relative to other densities on the same day of the week.