Alteryx Day 17 – Basic Aggregations Explained

Welcome to Day 17 of the 100 Days of Alteryx Learning Series!
Today’s session focuses on Basic Aggregations, a core concept used in almost every analytics and reporting workflow.

Understanding aggregations helps you convert raw data into meaningful insights by summarizing information at the right level.

What You Will Learn Today
📊 What Are Aggregations?

• Why aggregations are needed
• Row-level data vs aggregated data
• Common aggregation scenarios

🧮 Basic Aggregation Types

• Sum
• Count and Count Distinct
• Average
• Minimum and Maximum
• Grouping by one or multiple fields

🛠 Tools Used for Aggregations

• Summarize Tool
• Formula Tool for simple totals
• Understanding grouping logic

Real-World Use Cases

• Sales totals by region or product
• Customer counts by category
• Monthly and yearly summaries
• KPI calculations
• Preparing aggregated data for dashboards

By the End of This Video, You Will Be Able To:

• Understand how aggregations work
• Apply basic aggregation logic correctly
• Choose the right aggregation type
• Build clean, summarized datasets

Perfect For

Beginners, data analysts, BI developers, and data engineers building analytical workflows.

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