Rosie AI can turn complex datasets into actionable insights with just a few questions. Whether you’re analyzing trends, cleaning messy data, or diving into advanced analysis, Rosie is your personal data assistant. Here's how you can use Rosie for data analysis:
Steps to Analyze Data with Rosie AI:
Load Your Data into Excel:
Start by importing your dataset into Excel. Rosie works best when the data is organized in a table format.
Ask Rosie to Clean Your Data:
If your data has errors or formatting issues, ask Rosie to identify and resolve them.
Example: “Help me find and fix errors in this dataset.”
Rosie can identify common issues like missing data, inconsistent formats, or structural problems.
Explore Your Data with Questions:
Rosie understands the context of your dataset, so you don’t need to explain every detail. Just ask questions like:
“What’s the most common value in this column?”
“Which rows have missing data?”
“What’s the average sales value for each category?”
Run Advanced Analyses:
Rosie can help you dive deeper into your data:
Trend analysis: “What are the trends in sales over time?”
Comparative insights: “Which category performs best overall?”
Correlations: “Is there a correlation between review length and rating?”
Visualize Your Results:
Rosie can guide you to create charts and graphs to visualize your findings.
Example: “Create a bar chart to compare sales by region.”
Real-Life Use Cases:
Case 1: Identifying Stable Values Across Groups
A scientist analyzing brain data asked Rosie:
“Find genes that are consistently expressed across all cell types.”
Rosie quickly identified stable patterns, saving hours of manual effort.
Case 2: Extracting Insights from Amazon Reviews
For a dataset of 1.8 million Amazon reviews, Rosie helped:
Fix JSON formatting errors using Python scripts.
Split the large file into smaller, Excel-friendly chunks.
Run analyses like sentiment trends, top-reviewed products, and frequent phrases.
Example question:
“Which products received the most positive reviews?”
Tips for Using Rosie Effectively:
Be Clear and Concise: Ask simple questions to get the best results.
Leverage Context: Rosie understands your workbook structure, so you don’t need to specify ranges or columns explicitly.
Validate Results: While Rosie is highly accurate, cross-check critical outputs for added confidence.
Need Help?
If you’re unsure how to ask Rosie a question or need help structuring your data, contact us at [email protected]. We’re here to help you make the most of Rosie AI.