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If you need to showcase your web application to a client, team, or audience but don’t want the hassle of deploying it to a live server, this guide is for you. It will show you how to quickly view your localhost code running live on your mobile device using Visual Studio Code. By forwarding the port of your local development server, you can instantly access your web app on your mobile browser without any complicated setup or deployment process. This method makes it easier to present real-time changes on mobile devices, ensuring a smooth and seamless presentation.

The ALLSELECTED function retrieves the context for all rows and columns in a query, preserving explicit filters and other contexts beyond row and column filters. This powerful feature is ideal for calculating visual totals in queries, making it essential for advanced data analysis and Power BI reporting.

Removes all context filters from the table while retaining only the filters applied to the specified columns. This functionality is essential for precise data filtering and maintaining focus on key dataset dimensions.

Returns a single-column table showcasing unique values by eliminating duplicates from the specified column. This function is ideal for data analysis tasks requiring distinct entries or filtering out duplicate records in your dataset.

Returns the distinct value of columnName when the context is filtered to a single unique entry. If the context includes multiple values or no value, the function outputs the alternateResult. This functionality is essential for dynamic filtering, data analysis, and context-aware calculations in Power BI and DAX.

When the input parameter is a column name, the function returns a single-column table containing the unique values from the specified column. Duplicate values are eliminated, leaving only distinct entries. Additionally, a BLANK value can be included in the output if it exists in the input column. When the input parameter is a table name, the function returns a table consisting of all rows from the specified table, preserving any duplicate rows present in the original data. A BLANK row can be added to represent missing or unmatched data, depending on the context of its usage.