Question 3 a data analyst notices that their header is much smaller than they wanted it to be. what happened?

IMPORTANT: Ideas in Excel is now Analyze Data

To better represent how Ideas makes data analysis simpler, faster and more intuitive, the feature has been renamed to Analyze Data. The experience and functionality is the same and still aligns to the same privacy and licensing regulations. If you're on Semi-Annual Enterprise Channel, you may still see "Ideas" until Excel has been updated.

Analyze Data in Excel empowers you to understand your data through natural language queries that allow you to ask questions about your data without having to write complicated formulas. In addition, Analyze Data provides high-level visual summaries, trends, and patterns.

Have a question? We can answer it!

Simply select a cell in a data range > select the Analyze Data button on the Home tab. Analyze Data in Excel will analyze your data, and return interesting visuals about it in a task pane.

If you're interested in more specific information, you can enter a question in the query box at the top of the pane, and press Enter. Analyze Data will provide answers with visuals such as tables, charts or PivotTables that can then be inserted into the workbook. 

If you are interested in exploring your data, or just want to know what is possible, Analyze Data also provides personalized suggested questions which you can access by selecting on the query box. 

Try Suggested Questions

Just ask your question

Select the text box at the top of the Analyze Data pane, and you'll see a list of suggestions based on your data.

You can also enter a specific question about your data.

Notes: 

• Analyze Data is available to Microsoft 365 subscribers in English, French, Spanish, German, Simplified Chinese, and Japanese. If you are a Microsoft 365 subscriber, make sure you have the latest version of Office. To learn more about the different update channels for Office, see: Overview of update channels for Microsoft 365 apps.

• The Natural Language Queries functionality in Analyze Data is being made available to customers on a gradual basis. It may not be available in all countries or regions at this time.

Get specific with Analyze Data

If you do not have a question in mind, in addition to Natural Language, Analyze Data analyzes and provides high-level visual summaries, trends, and patterns.

You can save time and get a more focused analysis by selecting only the fields you want to see. When you choose fields and how to summarize them, Analyze Data excludes other available data - speeding up the process and presenting fewer, more targeted suggestions. For example, you might only want to see the sum of sales by year. Or you could ask Analyze Data to display average sales by year. 

Select Which fields interest you the most?

Select the fields and how to summarize their data.

Analyze Data offers fewer, more targeted suggestions.

Note: The Not a value option in the field list refers to fields that are not normally summed or averaged. For example, you wouldn't sum the years displayed, but you might sum the values of the years displayed. If used with another field that is summed or averaged, Not a value works like a row label, but if used by itself, Not a value counts unique values of the selected field.

Analyze Data works best with clean, tabular data.

Here are some tips for getting the most out of Analyze Data:

1. Analyze Data works best with data that's formatted as an Excel table. To create an Excel table, click anywhere in your data and then press Ctrl+T.

2. Make sure you have good headers for the columns. Headers should be a single row of unique, non-blank labels for each column. Avoid double rows of headers, merged cells, etc.

3. If you have complicated, or nested data, you can use Power Query to convert tables with cross-tabs, or multiple rows of headers.

Analyze Data works best with clean, tabular data.

Here are some tips for getting the most out of Analyze Data:

1. Analyze Data works best with data that's formatted as an Excel table. To create an Excel table, click anywhere in your data and then press

   
   +T.

2. Make sure you have good headers for the columns. Headers should be a single row of unique, non-blank labels for each column. Avoid double rows of headers, merged cells, etc.

Analyze Data works best with clean, tabular data.

Here are some tips for getting the most out of Analyze Data:

1. Analyze Data works best with data that's formatted as an Excel table. To create an Excel table, click anywhere in your data and then click Home > Tables > Format as Table.

2. Make sure you have good headers for the columns. Headers should be a single row of unique, non-blank labels for each column. Avoid double rows of headers, merged cells, etc.

We're always improving Analyze Data

Even if you don't have any of the above conditions, we may not find a recommendation. That's because we are looking for a specific set of insight classes, and the service doesn't always find something. We are continually working to expand the analysis types that the service supports.

Here is the current list that is available:

• Rank: Ranks and highlights the item that is significantly larger than the rest of the items.

• Trend: Highlights when there is a steady trend pattern over a time series of data.

• Outlier: Highlights outliers in time series.

• Majority: Finds cases where a majority of a total value can be attributed to a single factor.

If you don't get any results, please send us feedback by going to File > Feedback.

Because Analyze Data analyzes your data with artificial intelligence services, you might be concerned about your data security. You can read the Microsoft privacy statement for more details.

Need more help?

You can always ask an expert in the Excel Tech Community or get support in the Answers community.