Pie Chart

This chart type displays the data as sectors from a circle and is useful for displaying data as parts of a whole. The Pie chart displays a single series of data in a two-dimensional circle.


Bar Chart

A Bar chart displays data as horizontal or vertical bars whose lengths vary according to their value. You can use a Bar chart to show a comparison between several sets of data (for example, summaries of the unique and total site visitors for certain period).


Line Chart

A Line chart shows data as continuous lines that pass through points defined by their items’ values. It can be useful for showing a trend over time and comparing several sets of similar data.


Area Chart

Area chart type is suitable for displaying quantitative data as continuous lines that pass through points defined by their items’ values. The portion of the graph beneath the lines is filled with a particular color for each series. The different colors in an Area chart are useful for emphasizing changes in values from several sets of similar data.


Bubble Chart

A Bubble chart shows the data as points with coordinates and size defined by their items’ values. It is similar to the Scatter chart, in which the data points are replaced with bubbles. This allows a Bubble chart to display three dimensional data — two values for the items’ coordinates and one for their size. A Bubble chart is useful for visualizing different scientific relationships (economic, social, etc.). This chart type’s x-axis is also numerical and does not require items.


Bullet Chart

Bullet chart is a variation of a bar chart. You can use it as a replacement for dashboard gauges and meters. The bullet graph compares a given quantitative measure (such as temperature) against qualitative ranges (e.g. warm, hot, mild, cool, chilly, cold, freezing, icy, frosty) and a symbol marker that encodes the comparative measure (for example the max temperature a year ago). Also good for actuals vs forecast reporting

Box Plot Chart

The Box Plot chart is useful for comparing distributions between different sets of numerical data. It depicts graphically numerical data by displaying a data distribution summary with six indicators (lower value, first quartile, median, mean, third quartile, upper value) and outliers for each set of data.


Funnel Chart

A Funnel chart displays a single series of data in progressively decreasing or increasing proportions, organized in segments, where each segment represents the value for the particular item from the series. The items’ values can also influence the height and the shape of the corresponding segments.


Donut Chart

Donut chart displays data as sectors from a circle. The Donut chart is a Pie chart variation with ability to display single series of data in a two-dimensional circle. It is useful for displaying data as parts of a whole.


Radar Chart

Radar chart type series are represented on the chart as data points connected with straight line and which wrap the X axis in a circle or polygon.


Scatter Chart

Scatter chart shows data as points defined by their items’ values. Scatter charts are useful for showing the relation between different sets of data, for example scientific (experimental) results.


Stacked Bar Chart

A Stacked Bar chart as well as a Bar Char displays data as horizontal or vertical bars whose lengths vary according to their value and this type of chart is suitable for indicating the proportion of individual values to the total.


Multi-Series Chart

Multi-Series chart is useful, when you want to display two or more charts bound to different data series on the same chart area. Usually these data series are semantically related and putting them together allows the user to compare the values easily.


Categorized Chart

With this feature, the X axis of the chart can be used to plot not only values (e.g. number of sales, etc.), but also categories (e.g. months of the year, units, people, etc.).



The TreeMap report visual suits perfectly for visualization of hierarchical data in a traditional tree structure. The extension provides three options (squarified, horizontal and vertical) for displaying data.

The main advantages of the control are that you could:

  • Visualize huge data in a meaningful and colorized way (i.e. files system structure divided by size; the popularity of different tech devices on the market, and other)
  • Optimize space on your web page by its compact structure


Linear Gauge

The Linear Gauge represents the ranges and the value in a linear format, like its name suggests. It can be explained quite simply like a thermometer – the pointer is the quicksilver that fills the tube and the ranges can represent the temperatures in which we feel cold, hot or simply fine.


Radial Gauge

Radial Gauge represents the ranges and the value in a circular format, much like a car dashboard. In a similar manner it offers a customizable dial and a pointer, that rotates around its cap to show the value on the scale.



Sometimes a single number is the most important thing you want to track on your dashboard or report, such as total sales, market share year over year, or total opportunities. This type of visualization is called a Tile.


Sparkline Tile

A Sparkline Tile is a combination of common Tile and very small chart, drawn without axes, coordinates, legend, title and other chart-specific elements.



The Map displays geospatial information which is organized in layers. You can color code locations and plot points based on address, zip code, city, and lat/long values. You can also import your own map layers to divide maps into custom sections (see below)




The Table displays data in a tabular format. Additional table features include.

  • Drag/Drop reordering of columns (by end users)
  • Hide/Show columns (by end users)
  • Sorting
  • Filtering
  • Conditional formatting
  • Saving customized view of table (that includes the sort, filter and column order)



The Table displays data in a tabular format but the number of columns and rows are dynamic and controlled by the data. For example Years column header dynamically changes based on the dataset returned.


KPI Card

KPI Card can show multiple kpi metrics.

Left part of the KPI card displays an optional image. Right side includes kpi metrics that you want to track. Features include conditional formatting option for the outer rim of the card as well as each induvial KPI metric. Mouseover tooltip is available to show values.



Scorecard is a specific visual type, that works best when you want to compare several metrics side by side. Optional image headers can be used.



Calendar displays one or more events. It supports two modes Month View and Day View. You can drilldown on any event to get a pop-up windows with more details or drilldown to entirely new dashboard based on the day/event clicked. Supports color coding event types/categories.


Card displays basic information with an optional image. This may be used as a summary visualization on a dashboard.



Board visual type is like a table. The main difference is that you use the board to categorize items within groups. The items within the group are expandable to see more data. For example, in below image clicking on player will show more information on the player (there is an option to expand/collapse all items in a single click). Conditional formatting is supported


Media List

Media list is a visualization type that can display video, images or PDF’s with the ability to navigate through the list and create customized cut-ups, playlists or favorites.


HTML Output

Visualization for displaying any type of HTML output. For example, embedding a web page or external report within RockDaisy



Zone Chart

Zone Chart can show metrics and conditional formatting within pre-defined zones.


Body Part

Is a specific visualization type, that can represent body injuries or treatment.