Canvas Dash for Efficient Workflows

Canvas Dash is a powerful tool designed to help you streamline your workflows and boost productivity. It's perfect for teams and individuals who want to simplify their tasks and projects.

With Canvas Dash, you can create custom dashboards that display the information you need to see at a glance. This can include real-time updates, metrics, and key performance indicators (KPIs) that help you make informed decisions.

One of the key benefits of Canvas Dash is its ability to integrate with a wide range of third-party apps and services. This means you can bring all your data and tools into one place, eliminating the need to switch between multiple platforms.

By centralizing your information and workflows, Canvas Dash helps you stay organized and focused on what matters most.

The Canvas Dashboard is a powerful tool for presenting and interacting with your data. It contains a collection of Analytics Blocks on a plain canvas.

There are three types of analytics block: Text, Visualization, and Interactive Controls. These blocks work together to enhance the context of your data.

Interactive Control blocks, such as Filters, Period Comparisons, and Date Drills, can be used to manipulate data and add interactivity to your Canvas Dashboard.

The Legacy vs. New debate is a crucial one when it comes to Canvas Dashboards. The main difference between the two lies in their development and layout features. The Legacy Dashboard has a fixed-size grid layout, whereas the new Canvas Dashboard allows for freely arranging visualizations and texts anywhere on the canvas.

Developing a Legacy Dashboard is done in the Reporting layer, where changes are automatically applied. In contrast, the new Canvas Dashboard is developed in the Modeling layer, where changes are applied after publishing to production. This difference in development experience can be a significant factor in choosing between the two.

Here's a summary of the key differences between Legacy and Canvas Dashboards:

These differences can greatly impact the way you work with your dashboard, and it's essential to consider them when deciding which type of dashboard to use.

You can define Analytics Blocks as code, a feature known as Reused Blocks. This allows for more control and customization.

Reused Blocks are explicitly defined as code, which is different from the usual approach of using a visual editor. This code is generated by Holistics under the hood.

You can continue to create new Dashboards Legacy in the Reporting layer as usual, without any changes or disruptions.

The Legacy Dashboard has a fixed-size grid layout, whereas the new Canvas Dashboard allows you to freely arrange visualizations, texts, filters, and other elements anywhere on the canvas.

This means that with the Legacy Dashboard, visualizations and texts are stuck in a grid, while filters and dashboard controls are always on top. In contrast, the Canvas Dashboard gives you complete flexibility in designing your dashboard.

The Legacy Dashboard doesn't support version control, reusability, or as-code definition, which can make it harder to collaborate with others or track changes. On the other hand, the Canvas Dashboard supports all these features, making it easier to work in teams and maintain a consistent dashboard.

If you're used to working with the Legacy Dashboard, you might find the new Canvas Dashboard's development experience a bit different. With the Legacy Dashboard, changes are automatically applied, whereas with the Canvas Dashboard, you need to publish your changes to production before they take effect.

Consider reading: New Dash

Here's a quick comparison of the two dashboards:

The Legacy Dashboard also has some limitations when it comes to responsiveness and scaling. It auto-resizes to fit the user's screen, but the dashboard might look different on different screens. In contrast, the Canvas Dashboard keeps the dashboard ratio and allows users to zoom in or out to fit their screen, while also controlling the size of the canvas in pixels.

Overall, the Canvas Dashboard offers more flexibility and features than the Legacy Dashboard, making it a better choice for most users.

You can draw inside the DashCanvas object with the freehand tool, and use the tool buttons to draw lines, zoom in and out, pan, select objects and move them inside the canvas.

DashCanvas automatically adjusts the height of the canvas to keep the aspect ratio of the background image.

The geometry of annotations can be retrieved by pressing the bottom-right button of the DashCanvas, which updates the json_data property with information about the background image and the geometry of annotations.

You can customize the button's name through the goButtonTitle property.

DashCanvas provides utility functions to process images given the binary mask derived from annotations, relying on scikit-image to process arrays as images.

The watershed algorithm from scikit-image is used in these utility functions.

You can use the array_to_data_url utility function to transform a NumPy array into an image data string.