Posted March 20, 2020 11:02:25The latest version of Excel has a feature called “data-only mode” that allows users to use Excel data in a way that doesn’t interfere with other programs.
That’s one of the reasons why the company added Pandas, an open source data analytics platform, to its lineup.
But unlike other data-only tools, Pandas offers more than just data.
Pandas data-analysis features can analyze how the data is being processed and what it means to the organization.
“We wanted to create a data-driven data architecture that allowed people to work with data in different ways that were consistent with their roles,” said Marc Hirschfeld, head of pandas at Excel Group.
Hoch said that data-intensive workflows often need to be split between multiple people and that it can be difficult to keep track of who is doing what with which data.
“There is an ecosystem for data that is really hard to navigate,” he said.
“The most obvious example is for things like business intelligence.
It can be very hard to know exactly what the analytics are for, because the data can change at any time.”
Pandas data analysis is used by more than a billion organizations around the world.
The company offers analytics tools to help businesses understand and analyze data, analyze data-related risks and create better insights.
But it’s one aspect of the pandas engine that Hoch is particularly interested in.
Pandas can analyze the contents of Excel files, and in some cases, to create reports about the contents.
“It’s really powerful, but it’s not as powerful as the analytic tools that people have grown accustomed to,” he added.
“Data-intensive tasks, such as business intelligence, can be split among multiple people.
We want to build tools that are very similar to the tools that we’ve grown used to.”
Hoch explained that one of his goals with Pandas was to make it easy for companies to add Pandas users.
“When you use Excel, you need to create your own database.
So if you create a database for your data, you have to have a way to import the data from that,” he explained.”
You can’t just import the same data from the spreadsheet and have it available in the same spreadsheet.
It’s really important to be able to share the data that you have with other people.
So that’s what we’re trying to do here.”
He said that pandas has a number of different ways of sharing data with the rest of the world, from a local area to a global group.
For example, if you’ve worked with Excel for a while and you’re thinking about working with the world as a group, Hoch said, you can export the spreadsheet data to Pandas and share that.
“Pandas has these great export capabilities that allow you to import Excel and get a very simple, very powerful export experience,” he noted.
Pandans data analysis can also be used to analyze the content of Excel documents.
“As you can imagine, if someone writes the Excel spreadsheet, that’s a very, very large file, and it takes a very long time to process that, it can have some very interesting insights,” Hoch explained.
So it makes sense to start by analyzing the content.
Hirschfeld said that while pandas is not a tool specifically for data-heavy workflows, it is a great tool for building a data architecture.
“With data-centric workflows it’s important to know the structure of your data,” he continued.
“And pandas provides that information.
It also provides a way for you to build a data model.”
Hirschberg said that Excel has become increasingly important as data-access has increased.
“For most people, their data is a commodity that they can access.
And now that they’re in a data environment, the more data that they have, the faster that data can be accessed,” he stated.
Hich said that in addition to Excel data, Pandes data is also available on Google Drive and on the Bing Desktop API.