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DataBind Charts to LinkedIn Data


Use the standard ADO.NET procedures for databinding to provide bidirectional access to LinkedIn data from controls in the Visual Studio toolbox. This article demonstrates a graphical approach using wizards in Visual Studio, as well as how to databind with only a few lines of code.

DataBinding facilitates two-way interaction with data through UI controls. Using the CData ADO.NET Provider for LinkedIn streamlines the process of binding LinkedIn data to Windows Forms and Web controls within Visual Studio. In this article, we will demonstrate using wizards to establish a binding between LinkedIn data and a chart that dynamically updates. Additionally, the code walk-through section will guide you through the creation of a chart using just 10 lines of code.

Binding Data to a Chart

DataBinding to a Chart consists of three steps: Instantiate the control, configure the data source, and databind.

Configure the Connection and Select Database Objects

To create a chart control and establish a connection to LinkedIn, follow the steps outlined below using the Data Source Configuration Wizard. Within the wizard, you'll have the option to choose the specific LinkedIn entities you wish to bind to.

  1. In a Windows Forms project, drag and drop a Chart control from the toolbox to the form. In the Data section of the Chart properties, select DataSource and then select Add Project Data Source from the menu.
  2. In the Data Source Configuration Wizard that appears, select Database -> Dataset.
  3. In the Choose Your Data Connection step, click New Connection.

  4. In the Add Connection dialog, click Change to select the CData LinkedIn Data Source.

    Below is a typical connection string:

    OAuthClientId=MyOAuthClientId;OAuthClientSecret=MyOAuthClientSecret;CallbackURL=http://localhost:portNumber;CompanyId=XXXXXXXInitiateOAuth=GETANDREFRESH LinkedIn uses the OAuth 2 authentication standard. You will need to obtain the OAuthClientId and OAuthClientSecret by registering an app with LinkedIn. For more information refer to our authentication guide.

    When you configure the connection, you may also want to set the Max Rows connection property. This will limit the number of rows returned, which is especially helpful for improving performance when designing reports and visualizations.

  5. Choose the database objects you want to work with. This example uses the CompanyStatusUpdates table.

DataBind

After adding the data source and selecting database objects, you can bind the objects to the chart. This example assigns the x-axis to VisibilityCode and the y-axis to Comment.

  1. In the Chart properties, click the button in the Series property to open the Series Collection Editor.
  2. In the Series properties, select the columns you want for the x- and y-axes: Select columns from the menu in the XValueMember and YValueMember properties.

The chart is now databound to the LinkedIn data. Run the chart to display the current data.

Code Walk-through

DataBinding to LinkedIn data requires only a few lines of code and can be completed in three easy steps.

  1. Connect to LinkedIn.
  2. Create the LinkedInDataAdapter to execute the query and create a DataSet to be filled with its results.
  3. DataBind the result set to the chart.

Below is the complete code:

LinkedInConnection conn = new LinkedInConnection("OAuthClientId=MyOAuthClientId;OAuthClientSecret=MyOAuthClientSecret;CallbackURL=http://localhost:portNumber;CompanyId=XXXXXXXInitiateOAuth=GETANDREFRESH"); LinkedInCommand comm = new LinkedInCommand("SELECT VisibilityCode, Comment FROM CompanyStatusUpdates", conn); LinkedInDataAdapter da = new LinkedInDataAdapter(comm); DataSet dataset = new DataSet(); da.Fill(dataset); chart1.DataSource = dataset; chart1.Series[0].XValueMember = "VisibilityCode"; chart1.Series[0].YValueMembers = "Comment"; // Insert code for additional chart formatting here. chart1.DataBind();

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LinkedIn Icon LinkedIn ADO.NET Provider

A straightforward interface to connect any .NET application with LinkedIn integration capabilities including People, Profiles, Companies, Groups, Jobs, and more!

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