What section do you go to transform and reshape data in Power BI?
Data Transformation
Data Editing
Query Editor
Data Modelling
Answers
Answer:
Frankly to transform and reshape data in Power BI, you would go to the Query Editor section. The Query Editor provides a range of tools for cleaning, transforming, and shaping data before it is loaded into Power BI. It allows you to perform various operations on your data, such as filtering, sorting, merging, splitting, pivoting, and grouping, among others. Once you have transformed your data in Query Editor, you can then load it into Power BI and create visualizations based on the transformed data.
Explanation:
Power BI is a powerful data analysis and visualization tool that allows you to connect to various data sources and transform them into interactive reports and dashboards. The Query Editor is a key component of Power BI that allows you to transform and reshape your data before it is loaded into the Data Model.
The Query Editor can be accessed by selecting "Transform data" from the Home tab of the Power BI Desktop application. Once you're in the Query Editor, you'll see a range of tools and options that allow you to manipulate your data in a variety of ways.
Some common tasks that you can perform in the Query Editor include:
Filtering data: You can filter your data to include only the rows that meet certain criteria, such as a specific date range or a particular product category.
Sorting data: You can sort your data by one or more columns to make it easier to analyze.
Merging data: You can merge multiple tables together based on common columns to create a single, unified dataset.
Splitting data: You can split a column into multiple columns, such as splitting a full name column into first and last name columns.
data: You can pivot your data to convert column values into row headers or vice versa.
Grouping data: You can group your data based on one or more columns to create summary statistics, such as counts, averages, and sums.
In addition to these basic transformations, the Query Editor also provides more advanced options, such as creating custom columns using formulas, removing duplicates, and reshaping data using unpivoting.
Once you've transformed your data in the Query Editor, you can then load it into the Data Model and create visualizations based on the transformed data. By using the Query Editor to clean and reshape your data, you can ensure that your visualizations are accurate and meaningful, and that they tell the story that you want to convey.
Learn more about consolidating data, visit: https://brainly.in/question/54597040
Learn more about Power BI, visit: https://brainly.in/question/40794372
#SPJ3