Instantly Analyze Data: Smart Charts & Summaries with Just Copy & Paste
๐ Excel Data Analyzer with Smart Summary
Paste your Excel data (tab-separated with headers):
๐ Bar Chart
๐ฅง Pie Chart
๐ Line Chart
How to Use This Excel Data Analyzer
This guide will help you quickly and easily transform your spreadsheet data into insightful charts — perfect for anyone working with Excel, Google Sheets or tabular data.
Step 1: Paste Your Excel Data
Copy your data from Excel or Google Sheets. Ensure it is tab-separated and that the first row contains column headers.
Example:
Date Region Product Sales Profit
2025-01-01 East Apple 100 30
Step 2: View and Sort Your Table Chart
Your data will appear as a table chart. Use the sort dropdown to select a column name and sort the values from largest to smallest (or vice versa), depending on your requirements. Sorting helps you organize the data before creating visual charts.
Step 3: Detect Columns
Click the "Detect Columns" button. The app will analyze your data and populate dropdown menus, allowing you to select which columns to include in your charts.
Step 4: Choose Chart Settings
Select the columns you want to use for the Bar, Pie and Line charts. For each chart, pick:
- A category column (text or date)
- A value column (numeric)
Step 5: Generate Charts and Insights
Click "Generate Charts" to instantly create:
- Bar Chart: Compare sales or profit by product, region, or other categories
- Pie Chart: Visualize percentage contributions of each category
- Line Chart: Track trends over time or across items
You’ll also receive a quick summary highlighting top and bottom performers and key statistics.
Tips for Best Results
- Use clear headers in the first row
- Ensure numeric columns contain only numbers
- Format dates as YYYY-MM-DD
- Avoid blank rows or inconsistent formatting
Want More Features?
If you're looking for a deeper dive, check out the full chat analysis here:
๐ https://360emergingtech.blogspot.com/2025/08/analysis-test.html
This is just the
beginning! For more insights or tailored analyses, feel free to reach out. Have
questions or feedback? Leave a comment or email us at datakey24@gmail.com — we’ll respond promptly.
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