By design, Yurbi does not include all the visualization types that many BI tools do. We include out of the box the ones that 99% of business users naturally understand. We also limit the choice, so that business users don’t have decision paralysis trying to figure out the best one to use. We keep things simple, by design.
It doesn’t mean your spider/polar chart is not important, we just don’t feel like most people understand it.
If you do need a visualization that we don’t provide out of the box, it could be something you can use our API and bring your own 3rd party visualization control. Or it could be something we can add for you via Professional Services.
Yurbi Visualizations
Datagrid – This is the bread and butter output type. Easy to create and extremely useful. A datagrid is a table structure comprised of columns and rows. If you like Microsoft Excel spreadsheets, the data table is your best friend.
Pivot Grid – creating a summarized version of a datagrid using 1 character-based column heading, 1 character-based row heading, and a numeric value. Similar to an MS Excel pivot table.
Pivot Grid w/ Hierarchy – a datagrid report where columns can be grouped under labels to provide a hierachy view. *The hierarchy is shown in all report and dashboard views, however, when exported, the normal datagrid without the hierarchy will be downloaded or scheduled.
KPI Text – Display a single key performance indicator. Used to highlight a central business or process metric to monitor. Optional items that can be added to a KPI include goal values, pre and post text, and a sparkline showing historical trends.
KPI Gauge – A linear gauge showing the value of a key performance indicator on a fixed scale.
Advanced Pivot Table – Similar to a pivot grid but allowing more than just 1 column, 1 row, and 1 value. The advanced pivot table allows multiple hierarchies of summarized values by many rows and column headings. *The advanced pivot table is shown in all report and dashboard views, however, when exported, the normal datagrid without the advanced features will be downloaded or scheduled.
Column Chart – A column chart is a data visualization where data is displayed as vertical bars going across the chart horizontally. The values axis being displayed on the left side of the chart.
Bar Chart – Similar to a column chart, with bars going horizontal with the values axis being displayed on the bottom side of the chart.
Line Chart – A line chart or line plot or line graph or curve chart is a type of chart that displays information as a series of data points called ‘markers’ connected by straight line segments.
Area Chart – An area chart represents the change in one or more quantities over time. It is similar to a line graph. In both area charts and line graphs, data points are plotted and then connected by line segments to show the value of a quantity at several different times.
Treemap – Treemaps are ideal for displaying large amounts of hierarchically structured (tree-structured) data. The space in the visualization is split up into rectangles that are sized and ordered by a numeric variable. The levels in the hierarchy of the treemap are visualized as rectangles containing other rectangles.
Pie Chart – Treemaps are better (yeah we said it), but a Pie Chart is a special visualization that uses “pie slices” to show relative sizes of data. The chart is divided into sectors, where each sector shows the relative size of each value.
Stacked Bar – A stacked bar graph (or stacked bar chart) is a chart that uses bars to show comparisons between categories of data, but with ability to break down and compare parts of a whole. Each bar in the chart represents a whole, and segments in the bar represent different parts or categories of that whole.
Combo Chart – In Yurbi, a combo chart is where you can overlay line, area, and column charts in the same view and also include multiple left and right y-axises if the data uses different scales. You can also configure a top chart and bottom view in addition to the overlay. The combo chart offers a nice view in specific use cases, but not there is one critical limitation, you cannot drill down from a Combo chart visualization type.
Maps – A geographic map where data based on state name or postal code can be associated at the state level and density ranges can be assigned to set color. County level maps are also possible.
