In recent news, Microsoft Excel has entered the world of cloud-based, containerized Python analytics and visualization. This is a major step forward for the Office 365 staple, allowing users to leverage advanced analytics and visualization tools to gain insights from their data.
As a part of the Office 365 suite, Excel has long been seen as a powerful tool for data analysis and visualization. Howeer, it could only be used with data that was locally stored on the user’s device. In addition, Excel’s capabilities were limited in terms of what it could do with that data—for example, it couldn’t easily scale up to datasets that were too big to fit on the device, or couldn’t process large amounts of data quickly enough.
Now, with cloud-based containerized Python analytics and visualization, Excel can leverage the computing power of the cloud to tackle complex datasets and utilize sophisticated machine learning algorithms. This allows users to go beyond Excel’s capabilities and get answers to questions that they wouldn’t be able to without the power of the cloud. Furthermore, the data is all securely stored in containers, meaning that it is better protected from potential breaches or manipulation.
In addition, this new capability allows for greater user control over the data. By running Python code in the Excel environment, users are able to have more control over the data and how it is manipulated. This allows users to design and share data visualizations that are customized to their specific needs and preferences.
Overall, this development marks a significant improvement for Excel, making the product a more comprehensive and powerful tool for data analysis and visualization. With this new capability, Excel users can have the confidence that their data is secure and can scale up to take on large datasets with ease. Furthermore, with the ability to create customized data visualizations, Excel users can get a clearer and fuller picture of the insights their data is providing.
