The final step in the Data Science process is the visualization. Without visualization, the result is just a database with numbers. By giving data a face, you understand the content and you can actively do something about the results. The Cortana’s Intelligence suite includes Power BI. It communicates seamlessly with the data from Azure ML to give an example. By starting from the question, we design a dashboard that creates value for you as a user.
The Data Scientist knows what visualizations he can apply to give the fullest possible answer to the question. Because the default pie chart is not always sufficient, Power BI has Custom Visuals. For example, a heat map can be a graphical image of a machine, showing the status of components. Or a map of a parking garage that shows you what places a car is, including the occupancy rate and average parking time. How the data is visualized thus depends strongly on the question that was initially asked.