📊 Mastering Data Types in Power BI

Описание: In Power BI, the data type you assign is as critical as the values themselves. It affects performance, accuracy, and how easily you can build visuals.
🔍 Types of Data vs. Data Types
🔹 Type of Data = what it represents (e.g., customer name, revenue)
🔹 Data Type = how Power BI stores/processes it (e.g., Text, Decimal, DateTime)
Know both for cleaner models and smarter insights.
Let’s dive into the essential data types that every Power BI user should understand:
🔹 Numeric Data Types
Whole Number: For IDs and countable metrics
Decimal: For general calculations
Fixed Decimal: Best for currency (financial precision)
Percentage: For ratios, growth, and trends
🔹 Date & Time Types
Date: When time isn’t needed
Time: For things like schedules
DateTime: Full timestamps
DateTimeOffset: Adds timezone (great for global data)
TimeSpan: For durations between events
🔹 Text Data Types
Char: Fixed-length (e.g., country codes)
Varchar: Variable-length (e.g., names, descriptions)
🔹 Boolean Data Type
Stores True/False — simple but powerful.
Used in fields like: “Is Active”, “Has Paid”, “Is Premium User”
🔹 Binary & Unique Identifier Types
Binary: Stores files/images (Power BI doesn’t process them directly)
GUID: Unique alphanumeric IDs
🔹 Specialized Types
Geospatial: Country, city, coordinates
Hierarchical: Category → Subcategory → Product
✅ Why It Matters
✔️ Correct types = accurate visuals & measures
✔️ Clean models = better performance
✔️ Power BI runs smoother with proper types

Link for previous video "Understanding Types of Data in Power BI" :    • Understanding Types of Data in Power BI 📊  

Keep Exploring. Keep Analyzing. Keep Empowering with Data.
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