To create the visual, type in the names of the columns and the type of graph or chart you want, and you will get it done in seconds. Then, a small dialog box will appear with the search bar where you can write your query To do so, double-click on the interface of the BI page. Moving on to the next step of data visualization, Power BI provides AI features to interact with the data by executing your queries in natural language. For example, the date column will be represented by the calendar icon, and the columns such as Sales, Profit, Gross Sales, and Discounts having a numerical value will be represented by sigma On the right-hand side of the BI Desktop interface, all the columns from different datasets will be displayed with an icon representing their data type. Here, you can clean or transform your data as per the requirements or move forward by pressing the Load button Once the data gets imported from the desired data source(s), a Navigator window will show all the data you have imported. If you want to load the data from an on-cloud server or data warehouse, then you have to use Power BI Service. If you are using an Excel sheet, then select Excel from the toolbar. Open Microsoft Power BI Desktop, and you will see various sources from which you can import data. Now, let’s start with the tutorial, and build our first report in Power BI. 
You can download the spreadsheet from Microsoft documents or use any other data source of your choice. For this tutorial, an Excel Spreadsheet is taken as the sample data source.
To get started, you need to first connect the data with the interface.
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