Step 1: Article in Markdown Syntax
Let's delve into how Excel AI functions when it comes to data analysis. In this exploration, we start by using the 'Analyze Data' feature. The goal is to perform some straightforward tasks:
Firstly, we ask the AI to filter data to show only records from Utah and then sort by sales. Unfortunately, the result isn’t what we anticipated.
In the next attempt, we include product and profit in our query. This returns a result that appears acceptable but still not quite what we're aiming for. Moreover, some of the formulas generated by the AI seem odd and not very useful.
Seeking a different approach, we decide to use a pivot table. However, initially, the pivot table does not function as intended. Despite specifying that we want to pivot by product, the outcome continues to look largely the same.
After adjusting our approach, we finally manage to pivot by product while including total sales and profit for Utah. This yields results that are more aligned with our expectations.
Despite achieving our goal eventually, the process feels cumbersome and outdated, especially considering we are in 2023. Hence, there’s much anticipation for the new GPT-powered Co-pilot, which promises to be significantly more intuitive and user-friendly.
Step 2: Keywords
Step 3: FAQs
1. What was the initial task in the Excel AI data analysis?
2. Did Excel AI provide the correct results on the first attempt?
3. What additional data did the user include to refine their query?
4. Did the AI formulas meet the user’s requirements?
5. How did pivot tables function initially?
6. What was the final successful query outcome?
7. What was the user’s opinion on Excel AI after the experience?
8. What feature is the user looking forward to in the future?
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