Text box in Home Ribbon in Power BI and select specific option from your Chart: Title of your Report. Lesson-6 P-3
In Power BI, the "Home" text box refers to the main area where you can access various functionalities and options to manage your reports and datasets.
Page Formatting Filter Pane and Filter cards: Format Your Report Page in Bower BI Lesson-6 P-2
In Power BI, the Filter Pane and Filter Card are both components used for filtering data within reports, Filter Pane: The Filter Pane is a panel located on the right side of the Power BI report canvas. It displays all the fields from the data model that have been marked as filterable. Users can interact with the Filter Pane to select values from these fields to filter the data displayed in the report. Filters applied through the Filter Pane affect all visualizations on the report page unless explicitly scoped otherwise. Filter Card: A Filter Card is a visual element that can be added to a report canvas. It displays the current selection or filter applied to a specific field. Filter Cards are often used to provide a clear indication to users of what filters are currently active on the report. Users can interact with the Filter Card to modify or clear the filter applied to the associated field.
Paginated reports (or "Pag") formatting in Power BI refers to the process of designing and styling reports for printing or exporting in traditional, paginated format. More formatting like change color, background color, background image, text color, font etc.
Create a Dashboard with More Options like table view of visualization data like Export Data, Remove Data, Maximize view.
Power BI, developed by Microsoft, is a comprehensive suite of business intelligence (BI) tools to empower users to effectively analyze, visualize, and gain insights from their data. is designed. Here is a summary covering various aspects related to Power BI:
Cleaning data in Power BI: Transform (Edit) Data: Remove and Keep Columns Lesson-5-P2
In Power BI, "Remove Column" and "Keep Column" are two essential operations for data manipulation: Remove Columns: This process involves removing specific columns from the dataset. It helps streamline data analysis by removing unnecessary or redundant information, reducing clutter, and focusing on relevant data. Keep Columns: In contrast, "Keep Columns" allows you to keep only selected columns while discarding the rest. This helps simplify the dataset, keeping only the fields necessary for analysis or visualization.
