User Interface

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User Interface
Saturday, March 7, 2015PrintSubscribe
Geo Chart Type

The “geo” chart type will render a map of the Earth. Each value will be a country, region, or city with a number associated with it. Countries with larger numbers will be a darker shade. The scale for the values is shown in the bottom right corner. The example below shows the location of customers by country in the Northwind sample app.

To use “geo” chart type, add the keyword “geo” to any “pivot-” tag, and make sure that it is separated with hyphens (-).

Data Field Tag
Country pivot1-row1-geo

Geo chart showing customers in each country.

The data for the chart can be seen below.

Data for the geo chart of customers in each country.

Hovering over a data point will reveal the data. An arrow will be rendered on the scale in the bottom right corner.

Hovering over a country or region will reveal the value.

The label for each row is attempted to be resolved by Google Maps. Please see the Google Maps Terms of Service for more information on their data policy.

Display Mode

The “displaymode” property determines the rendering of data points on the chart. By default, the mode is determined automatically. When using countries, such as in the example above, it will render using “regions”. One alternative mode is to place markers that are relative to the size of the value by specifying “markers”.

To define the display mode, add the keyword “displaymode”, followed by a colon and the value in quotation marks. This keyword must be the last in the tag.

Data Field Tag
Country pivot1-row1-geo pivot1-displaymode:"markers"

The geo chart also supports displaying values as marker.

Hovering over densely packed data points will magnify the region.

Hovering over dense data points will magnify the area.

Using a display mode of “text” will render the value as a string over the correct location. The size and boldness of the text reflects the size of the value.

The 'text' display mode will render data points as text.

Region

The “region” property allows setting the zoom level of the map. By default, the property is set to “world”, to display the full map. The value can be set to a continent using its 3-digit code, a country with the ISO 3166-1 alpha-2 code, or a state in the United States with the ISO 3166-2:US code. If using a state, the resolution property must be set to “provinces” or “metros”.

The example below is set to zoom into the continent of Europe with code “150”.

Data Field Tag
Country pivot1-row1-geo pivot1-region:"150"

The geo chart is set to only render the region of Europe.

Resolution

The “resolution” property determines the display of data points on the geo chart. By default, it is set to “countries”. The “provinces” value is supported for some country regions and US state regions. The “metros” value is supported for US country region and US state regions only.

Data Field Tag
Region pivot1-row1-geo pivot1-region:"US" pivot1-resolution:"provinces"

The geo chart shows a map of the US and has resolution of 'provinces'.

An example of the “metros” resolution mode can be seen below. The chart uses “markers” display mode.

Data Field Tag
City pivot1-row1-geo pivot1-region:"US" pivot1-displaymode:"markers' pivot1-resolution:"metros"

The geo chart shows a resolution of 'metros' in the United States.

Saturday, March 7, 2015PrintSubscribe
Bar Chart Type

The “bar” chart type renders horizontal bars for each row of data. One use case would be to quickly compare records grouped by lookup values. For example, it can be used to show the number of orders made with each employee on the Orders page of the Northwind sample app. The chart reveals that “Peacock” is the most active employee.

To use “bar” chart type, add the keyword “bar” to any “pivot-” tag, and make sure that it is separated with hyphens (-).

Data Field Tag
EmployeeID pivot1-row1-bar

A bar chart showing count of orders by employee.

Here is the data for the above graph:

The data for the chart of count of orders by employee.

Hovering over or clicking on a single bar will reveal the data behind that bar.

The tooltip reveals the value behind the bar.

When multiple values are specified for each row, a bar will be rendered for each value in a different color.

Data Field Tag
EmployeeID pivot1-row1-bar
ShipVia pivot1-col1

Multiple values for each row render multiple separate bars.

Multiple columns of data can be seen in the table below.

The values for the chart showing count of orders by customer grouped by shipper.

Each row can also be displayed as a single bar, with values stacked on that bar, by using the “barstacked” chart type.

Data Field Tag
EmployeeID pivot1-row1-barstacked
ShipVia pivot1-col1

The stacked bar chart type renders all values for each row in a single bar.

Thursday, March 5, 2015PrintSubscribe
Area Chart Type

The “area” chart type is useful for showing change in a value over time. For example, it can show how the number of orders in the Northwind database changes by the order date. To use “area” chart type, add the keyword “area” to any “pivot-” tag, and make sure that it is separated with hyphens (-).

Data Field Tag
OrderDate pivot1-row1-date-area

A chart of the count of orders over the order date.

The data for the chart can be seen below.

The values for the chart.

Note that the chart above uses “-date” keyword. This keyword will direct the server to try several pivots with varying date group sizes and select the best fitting chart. An alternative definition to define a chart that looks exactly like the one above would look like the following:

Data Field Tag
OrderDate pivot1-row1-year-area pivot1-row2-month

Discrete points can be clicked on to reveal the row, column, and value for that data point.

Clicking on an area chart data point will reveal the value.

This chart type is also effective for showing multiple values on the same chart.  The example chart below shows the frequency of orders made with each shipper over time. It uses order date for the rows, and the shipper company name (ShipVia) as the columns.

Data Field Tag
OrderDate pivot1-row1-year-area   pivot1-row2-quarter
ShipVia pivot1-col1

An area chart with multiple values.

The data for the graph above can be seen here:

The data for an area chart with multiple values.

By default, the values are shown independently. You can choose to stack the values cumulatively by using the “areastacked” tag instead.

Data Field Tag
OrderDate pivot1-row1-year-areastacked pivot1-row2-quarter
ShipVia pivot1-col1

A stacked area chart with multiple values.