Friday 5 January 2024

Name some commonly used tasks in the Query Editor.? Power BI interview questions and answers 266

Name some commonly used tasks in the Query Editor.?

Here are some commonly used tasks in the Query Editor, found across various tools like Power BI, Excel, and others:

1. Connecting to Data:

  • This is the essential first step in working with data. It involves establishing a connection with various data sources like:

  • Excel files

  • CSV files

  • Databases (SQL Server, MySQL, etc.)

  • Web sources (websites, APIs)

  • Folders containing multiple files

2. Shaping and Combining Data:

  • Filtering and sorting: Selecting specific rows or columns based on criteria, and ordering data based on certain columns.

  • Removing or renaming columns: Eliminating unnecessary columns or changing their names for clarity.

  • Changing data types: Ensuring columns have the correct data types (e.g., text, numbers, dates) for accurate analysis.

  • Merging or appending queries: Combining data from multiple sources into a single query.

3. Transforming Data:

  • Grouping rows: Aggregating data based on common values in a column using operations like sum, count, average, etc.

  • Pivoting columns: Reshaping the data by rotating columns into rows to create a different view of the information.

  • Creating custom columns: Adding new columns based on calculations or transformations of existing columns.

  • Splitting columns: Dividing a single column into multiple columns based on delimiters or patterns.

  • Replacing or filling values: Modifying or filling missing values with specific data.

4. Refining Data:

  • Filtering rows: Selecting specific rows based on criteria.

  • Sorting rows: Ordering rows based on values in one or more columns.

  • Removing duplicates: Eliminating rows with identical values in all columns.

  • Transposing rows and columns: Swapping the orientation of rows and columns.

  • Applying conditional formatting: Highlighting data based on certain conditions.

5. Creating Custom Columns:

  • Generating new columns using formulas, expressions, or functions to perform calculations, transformations, or extract specific information.

6. Query Formulas:

  • Using a language like M or DAX to write custom formulas for advanced transformations and calculations that aren't available in the visual interface.

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