> ## Documentation Index
> Fetch the complete documentation index at: https://docs.goarif.co/llms.txt
> Use this file to discover all available pages before exploring further.
# Correlation Analysis
> Correlation Analysis to analyze the strength of relationship between the variables.
To get started quickly and efficiently, you can watch the video tutorial above. It provides a step-by-step guide to help you understand the process more easily before diving into the written instructions below.
## **How to Use:**
1. Click **“Choose analysis type”** dropdown in the main menu then select **“Correlation Analysis”.**
2. You need a prompt which basically is a question or an instruction to drive the analysis result. Choose one of the **Recommended Prompts** from the list for a quick, expert-driven setup.
3. Or write your own prompt depending on the insights you want to gain from your data by clicking the **“Custom Prompt”** button
4. If you choose to create your own prompt, click **“+ Add Custom Prompt”**. A pop-up window will appear where you can write your prompt.
5. Click the **“Upload Document”** button to upload your file in one of the supported formats: .csv or .xls with a maximum file size of 2 MB each.
6. Pick which variables from your data you'd like included in the correlation analysis, then select the method that best fits your analysis needs between Pearson and Spearman. **Pearson correlation** is useful when we are measuring the linear relationships between variables, while **Spearman correlation** captures monotonic relationships, even if they're not linear.
7. Make sure you’ve selected the correct prompt and file, then click **“Run Analysis”** and wait for the system to process your data. The processing time depends on the file size.
8. The analysis results will appear on the left panel, while the right panel allows you to ask follow-up questions about the analysis.
9. If you wish to view a full screen of your result analysis, click on **"Result Fullscreen"** at the bottom of the panel to expand the view.
10. Then Press **“Download Analysis Result”** to choose the file type you want to download. You can select Insight Summary for a curated, high-level overview, or Statistical Analysis for insights with statistical calculation.
11. Your analysis results are now available in PDF formatd.
2. You need a prompt which basically is a question or an instruction to drive the analysis result. Choose one of the **Recommended Prompts** from the list for a quick, expert-driven setup.
3. Or write your own prompt depending on the insights you want to gain from your data by clicking the **“Custom Prompt”** button
4. If you choose to create your own prompt, click **“+ Add Custom Prompt”**. A pop-up window will appear where you can write your prompt.
5. Click the **“Upload Document”** button to upload your file in one of the supported formats: .csv or .xls with a maximum file size of 2 MB each.
6. Pick which variables from your data you'd like included in the correlation analysis, then select the method that best fits your analysis needs between Pearson and Spearman. **Pearson correlation** is useful when we are measuring the linear relationships between variables, while **Spearman correlation** captures monotonic relationships, even if they're not linear.
7. Make sure you’ve selected the correct prompt and file, then click **“Run Analysis”** and wait for the system to process your data. The processing time depends on the file size.
8. The analysis results will appear on the left panel, while the right panel allows you to ask follow-up questions about the analysis.
9. If you wish to view a full screen of your result analysis, click on **"Result Fullscreen"** at the bottom of the panel to expand the view.
10. Then Press **“Download Analysis Result”** to choose the file type you want to download. You can select Insight Summary for a curated, high-level overview, or Statistical Analysis for insights with statistical calculation.
11. Your analysis results are now available in PDF formatd.
