Var data = db.Query("SELECT Name, Price FROM Product") Replace the existing content with the following: db = Database.Open("SmallBakery") In the App_Data folder, add the database file named SmallBakery.sdf that's described in Introduction to Working with a Database in ASP.NET Web Pages Sites.Ĭreate a new file named ChartDataQuery.cshtml. This procedure shows you how to read and display the data from the database created in the article Introduction to Working with a Database in ASP.NET Web Pages Sites.Īdd an App_Data folder to the root of the website if the folder does not already exist. If the information you want to chart is in a database, you can run a database query and then use data from the results to create the chart. In this case, because you didn't specify a chart type, the Chart helper renders its default chart, which is a column chart. The Write method actually renders the chart. ![]() The yValues parameter contains an array of data that's used to plot the vertical points of the chart. The xValue parameter contains an array of data that's displayed along the horizontal axis of the chart. The name parameter is displayed in the chart legend. In this example, you use the name, xValue, and yValues parameters of the AddSeries method. To add data, you use the AddSeries method. You specify the chart title by using the AddTitle method. The code first creates a new chart and sets its width and height. Replace the existing content with the following: m圜hart = new Chart(width: 600, height: 400) It also shows how to display the chart within the page.Ĭreate a new file named ChartArrayBasic.cshtml. This procedure shows how you can create a chart from data in arrays, using the default chart type. You can use arrays to contain the data that you want to include in your chart. Using an ArrayĪs explained in Introduction to ASP.NET Web Pages Programming Using the Razor Syntax, an array lets you store a collection of similar items in a single variable. The data you display in a chart can be from an array, from the results returned from a database, or from data that's in an XML file. This article shows you how to set some (not all) of these elements. The following picture shows many of the chart elements that you can customize when you use the Chart helper. Area chartĬharts show data and additional elements like legends, axes, series, and so on. The Chart helper can render more than 30 types of charts, including all the types of charts that you might be familiar with from Microsoft Excel or other tools - area charts, bar charts, column charts, line charts, and pie charts, along with more specialized charts like stock charts. It supports many options for formatting and labeling. The Chart helper can render an image that displays data in a variety of chart types. When you want to display your data in graphical form, you can use Chart helper. Migration also supports migrating from earlier versions of MySQL to the latest releases.The information in this article applies to ASP.NET Web Pages 1.0 and Web Pages 2. Developers and DBAs can quickly and easily convert existing applications to run on MySQL both on Windows and other platforms. MySQL Workbench now provides a complete, easy to use solution for migrating Microsoft SQL Server, Microsoft Access, Sybase ASE, PostreSQL, and other RDBMS tables, objects and data to MySQL. Plus, with 1 click, developers can see where to optimize their query with the improved and easy to use Visual Explain Plan. Performance Reports provide easy identification and access to IO hotspots, high cost SQL statements, and more. ![]() DBAs can quickly view key performance indicators using the Performance Dashboard. MySQL Workbench provides a suite of tools to improve the performance of MySQL applications. Learn more » Visual Performance Dashboard Developers and DBAs can use the visual tools for configuring servers, administering users, performing backup and recovery, inspecting audit data, and viewing database health. MySQL Workbench provides a visual console to easily administer MySQL environments and gain better visibility into databases. The Object Browser provides instant access to database schema and objects. The Database Connections Panel enables developers to easily manage standard database connections, including MySQL Fabric. The SQL Editor provides color syntax highlighting, auto-complete, reuse of SQL snippets, and execution history of SQL. ![]() ![]() MySQL Workbench delivers visual tools for creating, executing, and optimizing SQL queries. It includes everything a data modeler needs for creating complex ER models, forward and reverse engineering, and also delivers key features for performing difficult change management and documentation tasks that normally require much time and effort. MySQL Workbench enables a DBA, developer, or data architect to visually design, model, generate, and manage databases.
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