Wouldyou like to automatically create a detailed, polished Visio flowchart from an Excel workbook? You can do this by using the Data Visualizer templates. Each template has an associated Excel workbook used to convert process data into a flowchart in Visio. You can also use your own custom Excel template, map Excel data to shapes in the Create Diagram from Data wizard, and automatically create the diagram. You can even add additional columns of data in Excel that are converted to Visio shape data.
Visio also supports two-way synchronization between the Visio diagram and the Excel workbook. Not only can you create the flow chart, by editing data in Excel and refreshing the diagram from Visio, but you can also make changes to the Visio Diagram and then update the Excel data from the diagram.
The ability to use the Data Visualizer templates is only available with Visio Plan 2. If you're not sure what version of Visio you're using, select File > Account > About Visio. See Visio Plan 2 to learn more about the subscription version of Visio.
To create a Data Visualizer diagram, you can work simultaneously in Excel and Visio. You might find it easier to work in two windows on your Windows device or in a multi-monitor environment. Visually comparing your work between Excel and Visio helps confirm you are doing what you intend to do.
Add columns and rows to the table which are used to create the Visio diagram. There are specific requirements for the Excel table column headers and values. Use the section, How Excel columns interact with Visio flowchart components as a visual guide.
The green columns indicate additional shape data you can add to each shape. You can add any number of additional columns. By default, this data is not visible in the diagram, unless you add data graphics. To see the shape data in the Visio diagram, select Data > Shape Data Window. For more information about shape data and data graphics, see Add data to shapes and Data graphics, an overview.
Tip Keep both files synchronized and up-to-date after you finish working with them. When you change the Excel data, refresh the diagram; when you change the diagram content, update the Excel data.
Keep all diagram shapes and connector lines inside the container. Any other objects on the page but outside the container are not affected. For more information about containers, see Clarify the structure of diagrams by using containers and lists.
As a result, the changes you made in the Visio diagram are updated in the Excel workbook. If data may get lost in Excel, Visio displays the Update Source Data Conflict dialog box. To avoid problems, use the following best practices:
In the Excel workbook, use an Excel Table as your data source, not a custom range. After you select Overwrite in the Update Source Data dialog box, Visio converts the custom range to an Excel table.
You created the diagram using the following option in the Create Diagram from Data wizard where data columns are mapped to functions and phases: Mapping > More Options > Retain the order of column values from your data to create > Select Function or Swim lane or Select Phase or Timeline. In this case, Visio requires an additional column in your data to represent the connection between shapes. After you select Overwrite in the Update Source Data dialog box, the additional column is added.
You created a cross-functional flow chart diagram with both swimlanes and phases based on the order of data values in Excel. You created the diagram using the following option in the Create Diagram from Data wizard where data columns are connected to process steps and activities: Mapping > Specify how to connect the process steps/activities > Connect sequentially. In this case, Visio requires an additional column in your data to represent the connection between shapes. If you change the order of the swimlanes or phases in the diagram, the order is changed in the data source. After you select Overwrite in the Update Source Data dialog box, the swimlanes and phases in the diagram no longer follow the order of the data in the Excel workbook.
There are times when you may want to customize the creation of your Data Visualizer diagrams. For example, you may want to use different shapes to conform to your organization standards, or map to different column names in the Excel table.
Process Step ID A number that identifies each shape in the flowchart. This column is required, and each value in the Excel table must be unique and not be blank. This value does not appear on the flowchart.
Next Step ID The Process Step ID of the next shape in the sequence. A branching shape has two next steps and is represented by comma-separated numbers such as 4,5. You can have more than two next steps.
Function and Phase The function (or swimlane) and phase (or timeline) that each shape belongs to. This column only applies to a Cross-Functional Flowchart diagram and is ignored by a Basic Flowchart diagram.
Besides using the Data Visualizer templates, you can also use stencils from other templates when you create a Data Visualizer diagram. For example, create process diagrams for financial transactions or inventory management. There are other process-oriented stencils including BPMN Basic and Work Flow Objects templates. You can even add custom shapes by using the My Shapes stencil. For more information, see Create, save, and share custom stencils.
Currently, the Data Visualizer feature doesn't support the creation of sub-processes from a single Excel table. However, you can create multiple diagrams using different tables in one Visio file, and then link shapes as an alternative solution.
Below the canvas, select the + icon to create a Page 2. In the Data tab, select Create to launch the import wizard again. Choose to import data from the next sheet in the Excel workbook and complete the steps in the wizard.
You can enhance your diagram by adding data graphics, which helps you visualize shape data on the diagram. In effect, you can turn your diagram into a process dashboard in which the data graphics display Key Performance Indicator (KPI) information using data graphics icons based on your shape data.
If the Excel workbook linked to a Data Visualizer diagram is renamed or moved to a different location, then the link between the Visio diagram and Excel workbook is broken. This issue can also occur if you rename the Excel Table.
Themes A theme in Visio is a set of colors and effects that you can apply to a drawing with a single click. Themes are a quick way to give your drawings a professionally designed look. For more information, see Apply a professional look to your drawings with themes.
Layout Visio has manual guides and automatic tools to help ensure the shapes in your diagram are aligned and spaced well. That helps make your drawing as clear as possible and give it a well-ordered look. For more information, see Align and position shapes in a diagram.
Export Export a Data Visualizer diagram and associated Excel workbook to a Visio template package (.vtpx). A Visio template package saves diagram settings, stencils, and data for others to use as a quick starting point to create their own Data Visualizer diagram. Other users can install the template package on their computers. For more information, see Export and install a Data Visualizer template package.
Note that the elevation-adding feature will erase any existing altitude data (for example, from a GPS) that might already be in your file. Often, this is desirable; profiles made with DEM data are usually "smoother" looking than GPS, and typically contain fewer gaps or suspicious readings. (Speaking of gaps, there are a few in NASA's SRTM data, and that's unavoidable. If GPS Visualizer runs into one of these, it will not overwrite those elevations in your input data.)
The Google Maps API is able to return elevations for points anywhere in the world; these are often (but not always) the same elevations you'd see in Google Earth. Google's data comes from a variety of sources and is sometimes more accurate than the SRTM databases.
The drawback is that there is a limit on the number of queries that can be performed in a day by each user, so GPS Visualizer cannot ask Google for all of your points. To get around this, GPS Visualizer hosts a JavaScript-based Elevation Lookup Utility that has your browser perform the queries. To use this tool, your data must be in simple tabular format (easily accomplished using GPSV's plain-text converter); you must remove any existing elevation data; and you must have your own Google Maps API Key. Further instructions are on the Elevation Lookup Utility page.
To create a scene, i convert some .ply files into particles system so i can get cool results with light and traveling. I did convert 4 files, but one of those particles object doesnt reflect colors with lights in the render, but i does in viewport shading.
The following figure 1 is the code used in parseTLV.py in Visualizer to convert the sphere coordinate system to a Cartesian coordinate system. This function code is called by the parseCompressedSphericalPointCloudTLV function in this file.
As shown in Figure 2, at the function call, use pointCloud[:, 0:3] for Range, PointCloud[:, 0:3] is stored in the order of Range, Azimuth, Elevation, and the parameters in the function Figure 1 are stored accordingly.
There are different conventions people will use for theta/phi, so please be careful when interpreting diagrams you get online. Since there is no problem reported with the TI documentation or visualizer, I am closing this thread.
I was trying to go through the steps in this thread for closed-reference OTU picking using my DADA2-generated table. I am trying to convert the 3 resulting .qza files (unmatched_sequences.qza, clustered_table.qza, clustered_sequences.qza) to .qzv files for visualization (like in this post so I can determine the % of unmatched sequences), but it seems like the --o-visualization option is not an option with the qiime vsearch cluster-features-closed-reference command.
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