Скачать или смотреть 📊 Mastering Data Types in Power BI

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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