Pivot Tables and Pivot Charts in Data Analytics: A Comprehensive Guide

This article shows and describe the importance of using Pivot Table and Pivot Chart in data analytics.

Gbenga Olukanye-David (GAI Analytix)

8/18/20232 min read

Data analytics is all about unlocking the hidden insights within data sets, and one of the most powerful tools for achieving this is the use of pivot tables and pivot charts. These tools allow analysts to reorganize and summarize large data sets without altering the original data, providing a flexible and dynamic view of the data.

What is a Pivot Table?

A pivot table is a data processing tool used to aggregate and summarize data. It can automatically sort, count, average, or perform other calculations on data, grouped by one or more columns. Pivot tables are widely used in Excel and Power BI, which are essential tools for many data analysts (Schneider, 2018).

Using Pivot Tables in Excel

Excel's pivot tables are incredibly versatile and can handle large sets of data. By selecting specific columns, you can create a new table that summarizes the data based on specific criteria.

  • Steps to create a Pivot Table in Excel:

    • Select the data range.

    • Click on the ‘Insert’ tab.

    • Choose ‘PivotTable,’ and follow the prompts.

What is a Pivot Chart?

Pivot charts work hand in hand with pivot tables, providing a graphical representation of the summarized data. It helps to visualize complex data and find patterns that might be less apparent in tabular form.

Using Pivot Charts in Power BI

In Power BI, a pivot chart can be created based on pivot tables or other data sources. Here's how:

  1. Navigate to the ‘Visualizations’ pane.

  2. Select the ‘PivotChart’ icon.

  3. Drag and drop fields to create the chart.

Benefits of Using Pivot Tables and Pivot Charts

Below are few benefits of using a Pivot Table and Chart in analytics

  • Flexibility: You can quickly change the view of the data by dragging and dropping fields, enabling rapid exploration.

  • Efficiency: They save time by providing immediate insights without the need to create complex formulas.

  • Integration with Other Tools: Pivot tables and charts can be used alongside programming languages like R and Python, allowing more complex data analysis and visualization.

  • Dashboard development: Pivot tables and chart form the basis on which an interactive dashboard is built.

Pivot tables and pivot charts are integral parts of data analytics, providing invaluable insights from data in a flexible and efficient manner. Whether you're using Excel, Power BI, or integrating with R or Python, these tools provide a robust way to explore data, supporting informed decision-making in various fields.


This post, as provided by GAI Analytix, provides a solid understanding of pivot tables and pivot charts in data analytics, and we hope it aligns with your work as a data analyst. Let us know if there's anything else you'd like to know! For contact and more information on what we do, you can check us out at GAI Analytix