What types of data types are available in Power BI ?
Power BI offers a variety of data types to handle different kinds of information you might encounter in your data analysis. Here's a breakdown of the most common types:
Numeric Data Types:
Whole Number: Used for integers without decimal places, like customer IDs or product counts.
Decimal Number: Supports numbers with decimal places, like sales figures or average temperatures.
Currency: Specifically formatted for monetary values with appropriate symbols and decimals.
Percentage: Represents data as a percentage, often useful for ratios or completion rates.
Text Data Types:
Text: Accommodates any alphanumeric characters and symbols for names, descriptions, or text fields.
URL: Specifically recognized as web addresses for easy hyperlink creation.
Date and Time Data Types:
Date: Stores date information without specific time.
Time: Holds time information without the date.
DateTime: Combines both date and time for timestamps or specific moments.
Other Data Types:
Boolean: Represents true/false values for binary choices or logical conditions.
Geographic: Specifically designed for geographic coordinates and location data.
Binary: Stores encoded data formats like images or files.
Additional Considerations:
Null: Represents the absence of a value for specific data points.
Calculated Columns: You can create custom data types based on formulas and existing data within your model.
Choosing the right data type for your data is crucial for accurate calculations, visualizations, and efficient data manipulation in Power BI. Make sure to select the type that best reflects the nature of your information to ensure data integrity and optimal analysis.
Feel free to ask if you have any further questions about specific data types or need help choosing the right one for your Power BI project!
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