---
title: Pivot Table Basics - Microsoft Excel for Data Analysis
description: Learn the basics of Excel Pivot Tables with Allison Gonzalez to analyze, summarize, and visualize large datasets effectively.
---

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# [Pivot Table Basics - Microsoft Excel for Data Analysis](https://pragmaticworks.com/blog/pivot-table-basics-microsoft-excel-for-data-analysis)

 Written by [Allison Gonzalez](https://pragmaticworks.com/blog/author/allison-gonzalez) | Jun 17, 2026

In this training session from Pragmatic Works, Microsoft Certified Trainer [**Allison Gonzalez**](https://pragmaticworks.com/instructors/allison-gonzalez) walks viewers through the fundamentals of using Pivot Tables in Microsoft Excel for data analysis. Whether you're new to Pivot Tables or a seasoned user, this tutorial offers foundational guidance and helpful tips to get the most out of Excel’s data summarization tool.

 

#### What is a Pivot Table?

A Pivot Table is a powerful Excel feature used to:

- Summarize and explore large datasets
- Analyze trends and patterns quickly
- Present key insights in a clean, visual format

#### Pivot Table Design Lifecycle

Allison outlines a consistent process for creating effective Pivot Tables:

1. **Source the data:** Identify the dataset to analyze.
2. **Pivot cache:** The data is stored here for fast interactions.
3. **Design the layout:** Decide on rows, columns, and calculations to show insights clearly.

#### What Makes a Good Dataset?

Before creating a Pivot Table, the dataset must meet certain quality standards:

- Consistent, descriptive column headers (e.g., Date, Hour, Minute)
- No blank cells or rows
- No subtotals or pre-pivoted data
- No combined multiple values in a single column cell

#### Creating the Pivot Table

With the data in good shape (in this example, nearly 70,000 rows), Allison demonstrates how to insert a Pivot Table:

1. Select any cell within the dataset.
2. Go to the **Insert** tab and click on **Pivot Table**.
3. Choose whether to place it in a new or existing worksheet.

#### Customizing the Pivot Table

After inserting the Pivot Table, several layout and field options are available:

- Change field panel layout for better visibility
- Drag fields into **Rows**, **Columns**, and **Values** sections

Allison demonstrates several configurations:

- **Rows:** Category
- **Columns:** Group (e.g., Alcohol, Food)
- **Values:** Units sold

This allows quick summarization by category and group, with instant aggregation across thousands of records.

#### Exploring Further Insights

The training emphasizes experimenting with layouts to uncover more insights:

- Dragging **Group** above **Category** in Rows for clearer grouping
- Adding **Date** to Columns to see trends by month
- Adding **Item** under Category to create hierarchy
- Expanding/collapsing rows for a better view of data granularity

#### Refreshing Pivot Table Data

A key point covered is how Pivot Tables rely on cached data. If the source data changes, the Pivot Table won’t reflect updates until refreshed. To refresh:

- Right-click anywhere inside the Pivot Table and select **Refresh**
- Or go to the **Data** tab and click **Refresh All**

#### Final Tips

Allison encourages users to keep experimenting and exploring different configurations to discover insights. She also recommends using the “on-demand” learning platform at Pragmatic Works for deeper Excel training and Power Platform topics.

By the end of the video, users will feel confident in building a Pivot Table, customizing its layout, and refreshing the data source — essential skills for any data-driven professional working in Excel.

Don't forget to check out the [Pragmatic Works' on-demand learning platform](https://learning.pragmaticworkstraining.com/freeTrial/MarketingSiteODLTrial) for more insightful content and training sessions on Excel and other Microsoft applications. Be sure to subscribe to the [Pragmatic Works YouTube channel](https://www.youtube.com/pragmaticworks?sub_confirmation=1) to stay up-to-date on the latest tips and tricks. 

[View full post](https://pragmaticworks.com/blog/pivot-table-basics-microsoft-excel-for-data-analysis)

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