In Power BI, you can use several languages for various purposes, including data preparation, data modeling, and creating calculations. Here are the main languages you can use in Power BI:
Power Query M Language:
- Power Query M Language is used for data transformation tasks within Power Query Editor. It allows you to perform operations such as cleaning, shaping, and combining data from various sources.
- M Language is primarily used to create custom queries, modify data structures, and define transformation steps.
- It is a functional programming language with a focus on data manipulation and transformation.
DAX (Data Analysis Expressions):
- DAX is a formula language used for creating calculated columns, calculated tables, and measures within Power BI.
- DAX expressions are used to perform calculations, aggregations, and filtering operations on data in tabular models.
- It is designed to work with tabular data models and is optimized for analyzing large datasets efficiently.
SQL (Structured Query Language):
- Power BI supports writing SQL queries directly against relational databases and other SQL-compatible data sources.
- SQL can be used to import data into Power BI or perform direct query operations against external databases.
- It is often used when connecting to relational databases, data warehouses, or other SQL-based data sources.
R Scripting:
- Power BI supports integrating R scripts into data analysis workflows for advanced analytics and statistical modeling.
- R scripts can be used to perform complex statistical analysis, predictive modeling, data visualization, and machine learning tasks within Power BI.
- R scripts can be embedded directly into Power BI reports and visualizations using the R Script Visual or through the Execute R Script transformation in Power Query Editor.
Python Scripting:
- Similar to R scripting, Power BI also supports integrating Python scripts for advanced analytics and data science tasks.
- Python scripts can be used for tasks such as data preprocessing, machine learning, statistical analysis, and data visualization.
- Python scripts can be embedded directly into Power BI reports and visualizations using the Python Visual or through the Python Script transformation in Power Query Editor.
These languages provide a powerful set of tools for data preparation, analysis, and visualization within Power BI, enabling users to perform a wide range of data-related tasks and derive insights from their data effectively.
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