Microsoft Chart Control vs. Dundas Chart Control – Alex Gorev's Weblog
Documentation articles introducing data visualization controls in Dundas BI. Using chart properties. A chart lets you visualize Using a relationship diagram. I get a lot of questions about 'relationship' of our Microsoft Chart Control Microsoft acquired Dundas Data Visualization Intellectual Property in. To better visualize this type of relationship, change the Link Type property to Curve. You can do this by choosing Add To New Dashboard in the toolbar.
Using both dashboard and reporting tools allows for greater efficiency, and without compromising the availability of information. Increase efficiency and save time and money by eliminating manual reporting processes Better versioning control for routine reports Encourage user collaboration through built-in annotations, alert notifications, and scheduled reports Keep your dashboards and reports in a single familiar portal rather than navigating to a different tool for reporting Designing Reports in Dundas BI On a dashboard, you can add data visualizations, or components and arrange them anywhere on the canvas.
You can also do the same on a report, except that the report canvas contains several specialized regions where you drag-and-drop data and visualizations in order to define the content of your report.
These regions allow you to specify a set of visualizations, and how you want them repeated. Building a report in Dundas BI is simple and consists of dragging and dropping items into the header, body and footer regions of the report.
Then switch to View mode to see the actual report consisting of repeated elements. Ad Hoc Reporting Tools Dundas BI is web-based and provides easy-to-use reporting tools to help create ad hoc reports when you need to quickly drill deeper into your information. With the ad hoc reporting tools in Dundas BI, you can create reports on-the-fly to display information that may be outside your regular BI reporting.
A good reporting tool can easily accommodate the creation of ad hoc reports for both business and technical users. Flexible, ad hoc reporting allows the business user to access critical information for analysis and distribution quickly and with no assistance from IT required. The self-service, real-time analysis with scheduled distribution of reports in Dundas BI streamlines access to the information users need for quick decision making.
Mobile Dundas BI offers a full immersive experience on both desktop and mobile. The entire platform is built with mobile-first in mind using HTML5, and does not require any special apps or downloads. You can create, view and share your Dashboards, Reports and Scorecards on desktop and mobile seamlessly, or even do data analysis on mobile devices.
This means Dundas BI works and looks the same on a desktop as it does on a mobile device such as a tablet or smartphone. Users get immediate access to analyze and view their business data without having to use custom applications. The user interface of Dundas BI was designed to be touch friendly so you can even design dashboards, reports and perform data analysis directly on a tablet without having to reconnect to your desktop.
Mobile Experience Dundas BI offers pinch to zoom as well double tap to zoom capabilities allowing users to focus on the different visualizations. Within a specific visualizations such as a bar chart, Dundas BI offers the ability to select data points and zoom in to that selection or out of the selection to see all points again. Tap and hold can also be used to expose additional information such as custom tooltips.
Aside from the touch gestures, there are also built in capabilities that support automatic resize based on the available screen size. Scale — zoom in to maximize the available screen size without compromising the aspect ratio Resize — dynamically show more or less data points based on the device available screen size.
The difference between scale and resize is that scale could produce a very "small view" of the charts and other visualization data points if the screen size is very small while resize will show less data points but they will be readable even on a smaller screen Responsive - dynamically reposition visual elements based on the available screen size for an optimal viewing experience for all devices Analytics Get a tailored experience by user type for self-served real-time visual access and analytics for all your data, information and results.
Experience predictive and advanced data analytics, stunning data visualizations and on-the-fly data analysis in any format, on any device, with Dundas BI.
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Our business intelligence and data analytics software enables you to quickly realize the business value of your data. Business users can view, create, interact with, monitor and share key business metrics, without having to involve their organization's technical team. With our data exploration process, users can easily turn their data insights into their own powerful dashboards and reports and share those with others. Users can create data connectors, metric sets, hierarchies, dashboards and reports, and use established data cubes and cube perspectives for simplified data discovery.
From the interactive designer screen in Dundas BI, you can easily explore available data sources and use intuitive operations to arrange dashboard, report or scorecard views of your data.
For further analysis, you can easily apply period over period comparison or formula calculations to data using a familiar expression interface. Smart defaults and automatic data preparation are used throughout Dundas BI to provide a streamlined workflow, which means there are fewer steps needed to progress from your data to desired visuals. Predictive and Advanced Data Analytics Dundas BI features advanced interactivity and intuitive data discovery operations via simple point and click or drag and drop actions including predictive analytics.
Microsoft Chart Control vs. Dundas Chart Control
Dundas BI formula and visualization engine allows for trend and forecasting, clustering, priority ranking, correlations and statistics for other data analysis. Use R or Python to uncover patterns in your data and predict trends. The R and Python Language Analysis transform lets you write scripts using the R or Python programming language to perform statistical and predictive analysis on data.
Using R or Python for advanced statistical computing and Dundas BI to visualize and interact with the results gives you the best of both worlds. Explore Your Data Right from the home screen, users can access a blank canvas where they can start creating a dashboard.
They can easily see which data and metric sets are available to them in their project. Add a measure to Color When data is assigned, color rules or size rules are created in the corresponding properties in the Properties window e. To change or customize these, click the the brush icon next to the option in the Data Analysis Panel to go to the corresponding properties, or find them in the Look tab.
Color and size rules work the same as in other visualizations, such as charts. For more details, see Apply colors to data points or series using color rules.
Using a relationship diagram | Data Visualizations | Documentation | Learning
Displaying node values and details 4. Adding a second metric set If you have assigned data under Target Name to display custom relationshipsthe rows of your data each identify a pair of nodes.
To display or visualize data for individual nodes, a second metric set must be added to the visualization. Note These steps do not apply to a diagram where no data was assigned under Target Name, and you will not be able to add a second metric set.
Data can be displayed by nodes using a single metric set in this case. When editing a metric set directly in the full-screen editor, it must be added to a dashboard or another view first before another metric set can be added. You can do this by choosing Add To New Dashboard in the toolbar. Add a new metric set Drag data identifying each node onto Rows.
These values should correspond with the values already used as source and target names. Switch to the Visualization tab to confirm the data assigned under Name for the nodes. You can now assign this metric set's data as node color, size, label, or tooltip, as shown below, or use node state styles. Change node color and size In the Visualization tab of the Data Analysis Panel, you will find the Nodes section available when your second metric set is selected, or if you have a single metric set where no data was assigned under Target Name.
Add a measure to Color for nodes As with the links, color or size rules are created automatically when data is assigned as Color or Size. These can be changed or customized in the Properties window in the Look tab, and you can click the paintbrush icon next to the option in the Data Analysis Panel to go to the corresponding properties.
Add a measure to Size for nodes 5. Change labels and tooltips In the Text tab of the Properties window, you can customize the Label Text and Tooltip Text properties for both the links and the nodes.