Getting started with Power Pivot & DAX - 15 Useful Measures - FREE & Live Masterclass

TL;DR

In this session, the presenter introduces the concept of Power Pivot and DAX, demonstrates how to build measures in Excel using Power Pivot, and shows how to analyze data using pivot tables.

Transcript

hello everyone it is super awesome to see you all before we even jump into the stream and boy i do have a wonderful stream prepared for you today just tell me in the chat if you can hear me loud and clear awesome i could see from some of your messages that it is very good good morning everyone good morning good morning and good evening good afterno... Read More

Key Insights

• 🔨 Power Pivot and DAX are powerful tools in Excel for data analysis.
• 🏛️ Measures can be built using DAX to perform calculations and analyze data.
• 👻 Power Pivot allows for the creation of relationships between tables for more complex analysis.
• 🪜 Adding additional columns and measures in Power Pivot can enhance data analysis capabilities.
• ⚾ Pivot tables enable the creation of dynamic reports based on the measures and data model in Power Pivot.
• 😒 Power Pivot supports the use of slicers to filter data and improve data analysis.
• 🎭 DAX functions, such as SUM, AVERAGE, and DIVIDE, can be used to perform calculations on data.

Questions & Answers

Q: How do I enable Power Pivot in Excel 2016?

To enable Power Pivot in Excel 2016, go to the "Options" menu, click on "Add-Ins", select "COM Add-ins", and enable Power Pivot.

Q: Can I add measures to tables other than the sales table?

Yes, you can add measures to any table in Power Pivot, but it is recommended to add them to the table they belong to for organizational purposes.

Q: Is it possible to calculate profit as a percentage of total sales?

Yes, you can calculate profit as a percentage by dividing profit by total sales and formatting the result as a percentage.

Q: How can I filter data in Power Pivot to focus on specific criteria?

You can use slicers in pivot tables to filter data based on specific criteria, such as geographic region or product category.

Key Insights:

• Power Pivot and DAX are powerful tools in Excel for data analysis.
• Measures can be built using DAX to perform calculations and analyze data.
• Power Pivot allows for the creation of relationships between tables for more complex analysis.
• Adding additional columns and measures in Power Pivot can enhance data analysis capabilities.
• Pivot tables enable the creation of dynamic reports based on the measures and data model in Power Pivot.
• Power Pivot supports the use of slicers to filter data and improve data analysis.
• DAX functions, such as SUM, AVERAGE, and DIVIDE, can be used to perform calculations on data.
• Measures can be used in multiple contexts and can be combined to create new measures for further analysis.

Summary & Key Takeaways

• The presenter introduces Power Pivot and DAX as tools for data analysis in Excel.

• The data used in the demonstration is from a fictional company called Awesome Chocolates, and consists of information on sales transactions, products, and geographical locations.

• Various measures are built using DAX, including total amount, total customers, average amount, amount per customer, total cost, profit, profit percentage, and whether profit target is met.