Excel Data Analysis for Beginner and Data Analyst : Tutorial 15 – Pivot Table

Free eBooks for Beginners

Excel is a powerful tool for data analysis and is commonly used by both beginners and experienced data analysts. One of the most useful features of Excel for data analysis is the Pivot Table.

A Pivot Table is a tool that allows you to summarize and analyze large amounts of data in a flexible and interactive way. With a Pivot Table, you can quickly group, summarize, and calculate data from a larger data set, giving you a clear and organized view of your information.

For example, if you have a large table of sales data, you could use a Pivot Table to quickly see the total sales for each salesperson, or to see the total sales for each product. With a Pivot Table, you can easily switch between different views of your data, making it simple to see the information you need in a format that makes sense for you.

Creating a Pivot Table is simple. All you need to do is select your data and then click the “Create Pivot Table” button. You can then drag and drop the fields you want to analyze into the Rows, Columns, and Values sections of the Pivot Table. You can also add filters to further customize your data analysis.

One of the most powerful features of a Pivot Table is its ability to aggregate data. This means that you can group your data by specific criteria, such as salesperson or product, and then see the total sales for each group. This can be incredibly useful for identifying trends and patterns in your data that you might have otherwise missed.

Another useful feature of a Pivot Table is its ability to create calculated fields. This allows you to create custom calculations and formulas based on the data in your Pivot Table. For example, you could create a calculated field that shows the average sales for each salesperson, or the percentage of total sales for each product.

In conclusion, Pivot Tables are an essential tool for data analysis in Excel. Whether you are a beginner or an experienced data analyst, understanding how to use Pivot Tables can greatly improve your Excel skills and make data analysis much more efficient and accurate. So if you have large amounts of data that you need to analyze, give Pivot Tables a try!

Excel Data Analysis for Beginner and Data Analyst : Tutorial 15 – Pivot Table

 

Loader Loading...
EAD Logo Taking too long?

Reload Reload document
| Open Open in new tab

Download PDF [3.78 MB]

Applied Machine Learning & Data Science Projects and Coding Recipes for Beginners

A list of FREE programming examples together with eTutorials & eBooks @ SETScholars

95% Discount on “Projects & Recipes, tutorials, ebooks”

Projects and Coding Recipes, eTutorials and eBooks: The best All-in-One resources for Data Analyst, Data Scientist, Machine Learning Engineer and Software Developer

Topics included: Classification, Clustering, Regression, Forecasting, Algorithms, Data Structures, Data Analytics & Data Science, Deep Learning, Machine Learning, Programming Languages and Software Tools & Packages.
(Discount is valid for limited time only)

Disclaimer: The information and code presented within this recipe/tutorial is only for educational and coaching purposes for beginners and developers. Anyone can practice and apply the recipe/tutorial presented here, but the reader is taking full responsibility for his/her actions. The author (content curator) of this recipe (code / program) has made every effort to ensure the accuracy of the information was correct at time of publication. The author (content curator) does not assume and hereby disclaims any liability to any party for any loss, damage, or disruption caused by errors or omissions, whether such errors or omissions result from accident, negligence, or any other cause. The information presented here could also be found in public knowledge domains.

Learn by Coding: v-Tutorials on Applied Machine Learning and Data Science for Beginners