In this video, learn how to design and implement custom visuals for Power BI.

Campers will learn how to define the capabilities and data mappings for a custom visual and how to program D3-style data binding using categorical data from a Power BI dataset. The session also demonstrates how to extend a visual with custom properties and how to package a custom visual as a PBIVIZ file.

Visualizations are a powerful tool for communicating results to end-users and stakeholders. Their development and life-cycle management are no less challenging than the underlying processes producing the results they communicate.

Databricks explains how this is helping with the COVID pandemic.

Our team overcomes these challenges by leveraging Vega-Lite to encode visualizations as JSON objects and using the MLflow model registry as a visualization registry. During this presentation, we will walk through the process of creating a multi-layered Vega-Lite visualization using COVID-19 and Geodata, then managing it with the MLFlow model registry.Visualizations are a powerful tool for communicating results to end-users and stakeholders. Their development and life-cycle management are no less challenging than the underlying processes producing the results they communicate. Our team overcomes these challenges by leveraging Vega-Lite to encode visualizations as JSON objects and using the MLflow model registry as a visualization registry. During this presentation, we will walk through the process of creating a multi-layered Vega-Lite visualization using COVID-19 and Geodata, then managing it with the MLFlow model registry.

A colleague of mine, Ayman El-Ghazali, worked through data from the state of Maryland.

Code is available on GitHub.

I chose not source my data directly from Maryland’s State Government site because the format was not easy to use. The official Maryland Government provided data basically has each day as a column and had the rows as Zip Codes — not as easy as the data provided from the site above. So there may be few discrepancies between the data on a day to day basis, but the totals are identical. You can read about their methodologies of retrieving data from various official State Government websites and the quality of each.

In BlueGranite’s recent webinar, you will see several examples of Python in action for data modeling and visualization in Power BI. You will also learn where and how Python fits into a Power BI development workflow.

You’ll also see how to balance Python with native Power BI functionality and determine what limitations must be considered when using Python in Power BI.

freeCodeCamp.org has provided this full 12 hours course on data visualization with D3.js

In this data visualization course, you’ll learn how to transform data into meaningful graphical forms using D3.js and web technologies. D3 is a JavaScript library for visualizing data with HTML, SVG, and CSS. Besides teaching all about D3, this beginner’s course also covers the basics of JavaScript, HTML, CSS, and SVG so you will have all the prerequisite knowledge to create stunning data visualizations.

Course index below video.

⭐️ Course Contents & Code ⭐️
⌨️ (0:00:00) Data Visualization Course Overview
⌨️ (0:02:50) Why Visualize Data?
⌨️ (0:14:28) Inputs for Data Visualization: Data & Tasks
⌨️ (0:29:31) Intro to Javascript
Code: https://vizhub.com/curran/1e6587bb27c54c368deae8b79a7ca59a
⌨️ (1:57:35) Intro to HTML, CSS & SVG
Code: https://vizhub.com/curran/366c38ba5ebc4631b4bd936f3b709744
⌨️ (2:31:56) Intro to D3.js – Let’s Make a Face!
Code: https://vizhub.com/68416/be771477cb974c938cd8603dd8b59d32
⌨️ (3:15:06) Making a Bar Chart with D3.js and SVG
Code: https://vizhub.com/curran/dd44f8fcdc8346ff90bddd63572bf638
⌨️ (3:44:02) Customizing Axes of a Bar Chart with D3.js
Code: https://vizhub.com/curran/a44b38541b6e47a4afdd2dfe67a302c5 
⌨️ (4:10:03) Making a Scatter Plot with D3.js
Code: https://vizhub.com/curran/9247d4d42df74185980f7b1f7504dcc5
⌨️ (4:34:22) Making Line and Area Charts with D3.js
Code: https://vizhub.com/curran/012b5b20ce894b0fa7dc98ef3a0b43a5
⌨️ (5:04:36) The General Update Pattern of D3.js
Code: https://vizhub.com/curran/7f4137a77b564607ae2791ab1e49cf7e
⌨️ (6:04:30) Marks & Channels in Data Visualization
⌨️ (6:28:43) Interaction with Unidirectional Data Flow using D3.js
Code: https://vizhub.com/curran/c2274b1dfe914115bac48f437b3c104e
⌨️ (6:45:13) Making a World Map with D3
Code: https://vizhub.com/curran/c5475d7c95d348d5b8268012fbccb728
⌨️ (7:02:43) Cheap Tricks for Interaction on a D3.js World Map
Code: https://vizhub.com/curran/4fb5e4e665474a169325bd18cdc3d0c0
⌨️ (7:25:37) Blank Canvas
Code: https://vizhub.com/curran/0c35fdf97a6042188b5550e6712de315
⌨️ (7:30:43) Building a Tree Visualization of World Countries with D3.js
Code: https://vizhub.com/curran/4f92c793909f48d28012e43ddab716df
⌨️ (8:04:48) Color and Size Legends with D3.js
Code: https://vizhub.com/curran/92c34f62c0f948e89e87d28907c08715
⌨️ (8:33:27) Choropleth Map with D3.js
Code: https://vizhub.com/curran/d5ad96d1fe8148bd827a25230cc0f083
⌨️ (9:05:16) Interactive Filtering on a Choropleth Map
Code: https://vizhub.com/curran/5c907e49d0294538aad03ad1f41e1e28
⌨️ (9:51:00) Using Color in Visualization
⌨️ (10:07:54) Scatter Plot with Menus
Code: https://vizhub.com/curran/98ba4daacc92442f8d9fd7d91bfd712a
⌨️ (10:54:03) Circles on a Map
Code: https://vizhub.com/curran/8704c9b7c6df43cabf839aa3f1cb7b70
⌨️ (11:35:51) Line Chart with Multiple Lines
Code: https://vizhub.com/curran/2546209d161e4294802c4ac0098bebc2
⌨️ (11:59:34) Melting and Munging Data with JavaScript
Code: https://vizhub.com/curran/ecb0793c7d674100b3e3133d92cb6957
⌨️ (12:28:29) Selecting a Year on a Line Chart
Code: https://vizhub.com/curran/501f3fe24cfb4e6785ac75008b530a83