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Apps created with Code On Time generator will automatically compose up to nine charts based on the columns present in your tables. If the default charts are insufficient, then the developer may choose to define their own charts for each data view.

Charts are configured using a simple tagging language applied on the data fields of a view. Let’s start configuring charts for the Orders page of the Northwind sample app.

Creating a Chart

Start the Project Designer. In the Project Explorer on the right side of the screen, switch to the Controllers tab and double-click on the Orders / Views / grid1 / CustomerID data field.

Change the following property:

The tag does the following: “pivot1” will declare that the data field CustomerID will be used for pivot with ID of “1”. The keyword “row1” declares that the data field will be used to define the first row. Finally, the keyboard “column” declares the chart type.

Press OK to save the data field. On the toolbar, press Browse to regenerate the app and open it in the default browser. When the page comes up, navigate to the Orders page. There will be a single chart of type “column” available.

The data behind the chart is shown in the table below:

The first column shows the values of each row (the customer company name). The second column is the actual value used to render the chart. No value field was specified by the developer, so a count of records has been used.

Sorting

Notice that the order of rows is alphabetical. Let’s sort the rows in descending order by the value in the second column. Replace the tag using the method described above with the following:

The image below shows the new chart, with the rows sorted.

The data will look like the following:

This has given us the correct order, but this chart can still be improved. Notice that there are too many columns displayed, making it hard to read. Let’s reduce that number.

Reducing the Result

Replace the tag with the following:

The “topX” keyword will only take the top X number of rows, and will throw away the rest. The new chart can be seen below.

The table can be seen below.

There are now ten rows of data available, as expected.

It may be possible that the user does not want the rest of the rows to be hidden, but grouped into one last column.

The “Other” Column

Using the “other” keyword in combination with “topX” will only display the top X number of rows. For rows that do not make the cut, their values will be summed up into an “Other” row. Use the following tag:

The new chart will display this “Other” column.

The values in this “Other” column will also be present in the chart data.

Defining Titles

Notice that a title has been automatically generated from the chart definition. The title, as well as the horizontal and vertical axis labels, can also be defined.

Replace the tag with the following. Notice that multiple space-separated tags are defined.

The new chart will use the specified titles:

The new title will be shown above the table as well:

This chart looks complete. Let’s add another chart that shows how many orders were received over time.

Working With Dates

Orders table in the Northwind database contains the OrderDate field. Let’s show how many orders were received per quarter. Apply the following tags to the relevant data fields:

The “quarter” keyword will group the values by quarters. The “line” keyword is the chart type.

In this chart, the orders have now been grouped by the quarter. Notice that there are no years – we need to define another group in order to split the orders by year, and then by quarter.

Make the following changes:

This configuration will define a chart that uses the OrderDate field twice – first time to group by year, and then to group by quarter. The results can be seen below.

The new chart now shows quarters from each year that Northwind has been in business.

Revealing Gaps

Suppose that the data has some gaps in the time period. The example below was filtered to customer “Frankenversand”, and it is clear that “1997, Q1” is missing. A missing row is easy to spot in the table, but it would be harder to spot in the chart.

Use the “all” keyword to ensure that gaps are displayed in the result.

The chart now presents gaps in the data.

This chart looks good with the current data set. What happens when the data takes on a different shape?

Automatic Date Sizing

The view has been filtered to only include data for 3 months. The end result is not so useful or attractive when using year/quarter.

The table is equally unhelpful.

This is where the “date” keyword comes to the rescue. Instead of manually specifying the date groupings, we will command the API to compose several result and use the best fit. Replace the tag with the following:

It appears that the chart using year/month/week has the most useful presentation according to the algorithm.

The table now reveals more useful information as well.

Specifying a Column Field

It may be helpful to split apart each data point by introducing a column field. Let’s show the number of orders from the top three customers. Change the tags for pivot2 as follows:

The chart will now show a breakdown of orders from the top three customers at each date.

The table will now have multiple columns.

Specifying a Value Field

Instead of simply showing a count of orders, let’s use the sum of Freight as the value. To do this, we will need to define the data field Freight as a value field. Specify the tags below. The “sum” keyword determines the type of value. By default, the chart will use “count”.

The chart will now display values according to the sum of Freight field.

The table will reveal the correct values.

Every Code On Time web app comes with multiple ways of displaying your data. One way to visualize your data is with charts. See an example of charts on the Orders page of Northwind sample below.

When a user activates the Charts presentation style, any developer-defined charts will be displayed. If none have been defined, then the application will automatically construct charts based on the data fields present in that view.

Activating Charts Presentation

Charts can be activated by clicking on the “Charts” presentation style option in the sidebar on the left hand side of the screen.

If the device you are using is narrow or the sidebar has been disabled, you can click on the context menu button “…” in the top right corner of the screen to bring up the context menu.

Then, click on the name of the view to bring up view options.

Select the “Charts” data presentation style, and the view will refresh and display charts to the user.

Responsive Design

Charts offer a responsive design that will scale to fit any device, regardless of the device’s screen size. You can get a comprehensive snapshot of your data from your phone, tablet, or desktop computer. The largest screen sizes will display three columns of charts.

If the window is shrunk to a moderate size or the device is a tablet, two columns of charts will be shown instead.

Smaller devices will display one chart at a time.

If the device or window has a short height (or if your phone is rotated horizontally), then the charts will be shrunk vertically in order to fit at least one chart at a time on the screen.

Sizing Charts

Charts can also be individually resized. Each chart is set to “Small” by default. This will render three columns on large screens, two columns on medium screens, and one column on small screens. If only one chart is present for the view, then that chart will always be maximum size available for the device.

The user can change the size of each chart by clicking on the three dot context menu “…” in the top right corner of the chart. Large devices will have access to “Small”, “Medium” and “Large” sizes.

Select “Large” to display a chart at full width and height of the screen. “Large” charts will scale down to “Medium” size on moderately sized devices, and to “Small” if the device cannot fit medium charts.

“Medium” chart size uses two thirds of the width and height a large screen, leaving space for one small chart in each dimension.

Medium charts on a medium size device will take the full width and two thirds of the height, leaving room for one chart above or below.

Default chart sizes can also be specified by the developer at design time.

Filtering with Charts

Any filters applied to the data view will be used by the charts. Quick filter options are available for the relevant fields in the context menu of each chart.

Clicking on the name of a field will open the filter panel for that field.

Select several options from the panel and press “Apply” to filter. The charts will refresh with the new, filtered data.

Child data views also derive the filter from the selected master record. The screen below shows charts giving insight to the orders from the customer “Save-a-lot Market” – Davolio seems to be the preferred employee.

Viewing the Data Behind the Chart

Users also have the option to view the pivoted data that the chart is based on in a table. Click on the three dot context menu “…” in the top right corner of a chart. Select “Show Data” option.

The chart will be replaced by a table that shows the data. A miniature chart preview will be shown in the top left corner.

Clicking on the mini chart in the top left hand corner will restore the chart. The user can also use the “Show Chart” option in the context menu.