AI-powered Advanced Analytics in Excel
This killer feature is available worldwide and offers advanced analytics of large data sets in Excel using Azure compute power.
This killer feature is available worldwide and offers advanced analytics of large data sets in Excel using Azure compute power.
Now you can use natural language that will use AI magic to execute Python on your data in Excel to perform correlation analysis, visualize your data, find deviations, or prepare forecasts for future results.
This huge! You need to try it.
AI Advanced Analytics in Excel
Excel Advanced Analytics with Copilot and Python
Advanced Analytics with Python in Excel
Excel’s new functionality allows users to perform advanced analytics using Python directly within the application. This integration enables deep dives into large volumes of data, moving beyond simple conditional formatting to more complex analytical tasks.
The general way of working of Copilot in Excel with Python
- Natural Language Processing: Users can leverage natural language to generate Python code in the background, simplifying the process of executing advanced analytics without needing to write code manually.
- Cloud Execution: The Python code is executed in the Microsoft Azure cloud, ensuring that it does not access your device or data outside of the spreadsheet. This provides a secure environment for data analysis.
- Data Frame Creation: Upon initiating the advanced analytics, a new spreadsheet is created with the Python configuration deployed. This includes a data frame with the Python icon, containing all the relevant data for analysis.
- Premium Compute: Initially, the analytics use premium compute for faster processing, which later switches to standard compute. Users can extend their capabilities with premium computing if high performance is required.
Key Advanced Analytics features in Copilot in Excel that will allow you to work with large volume of data:
- Deep Dive Analysis: Users can perform deep dive analysis on large datasets, such as crime statistics from Chicago, to generate detailed statistics and visualizations. This includes monthly breakdowns and year-over-year comparisons.
- Visualization: The integration allows for the visualization of data over time and by location, providing insights into trends and patterns. Although map loading is not yet supported, users can compare results with external maps for accuracy.
- Trend Analysis: Compilot can analyze trends and highlight deviations from average statistics, making it easier to identify anomalies in the data. This is particularly useful for quality control in production processes.
- Correlation Analysis: Users can perform correlation analysis to understand the relationships between different parameters in their data. This helps in identifying how specific elements impact the overall results.
- Prediction and Forecasting: The AI model can predict future trends based on historical data, providing forecasts for upcoming months. This feature is valuable for planning and decision-making.
🎯M365 & COPILOT WEEKLY DIGEST
Are you tired of missing out on the latest news, important announcements, insightful articles, and engaging videos?
I’ve got the perfect solution for you!
Join my weekly newsletter where we gather the most crucial updates and deliver them straight to your inbox or LinkedIn feed, based on your preference.
GET HELP FROM COPILOT MVP
Unlock your potential and learn how and why to use Copilot daily, train your Copilot skills, and get help from Copilot MVP
Conclusion
Advanced Analytics in Excel, now supported by Python, offers a significant upgrade for users dealing with large datasets. This functionality allows you to perform deep-dive analyses and generate insightful visualizations directly within Excel. By leveraging natural language commands, you can execute complex Python code in the background, which runs securely in the Microsoft Azure cloud. This ensures that your data remains safe and isolated from your local device.
The integration of Python in Excel enables users to go beyond basic AI features, providing advanced analytics capabilities that can handle extensive datasets.
