Quick Start Guide

Create Your Free Account

Getting started is simple:

1. Click "Get Started Free" or visit the registration page
2. Enter your email address and create a password
3. Accept the Terms of Service and Privacy Policy
4. Click "Create Account"

You'll be logged in immediately and redirected to the analytics platform. Free accounts include 100 analyses per month - plenty to explore the platform's capabilities.

Navigate the Platform

The Elneuro interface is organized into intuitive sections accessible from the top navigation bar:

Click any section to access its features. The platform remembers your session state, so you can switch between sections without losing your work.

Upload Your Data

Navigate to Data Upload to import your dataset:

1. Supported formats: CSV, Excel (.xlsx, .xls)
2. Click the upload area or drag and drop your file
3. Preview your data in the table view
4. The platform automatically detects column types (numeric, categorical, datetime)

Don't have data? Use the built-in sample datasets to explore features. Click "Load Sample Data" in the Data Upload section.

Run Your First Analysis

With data loaded, you can immediately start analyzing. Here's a quick analysis workflow:

Statistical Analysis

1. Go to Statistical Analysis
2. Select the variable(s) you want to analyze
3. Choose an analysis type (descriptive stats, hypothesis test, correlation, etc.)
4. Configure any parameters (confidence level, test type)
5. Click "Run Analysis"

Results appear instantly with statistical outputs, p-values, and interpretations.

Machine Learning

1. Go to ML Predictions
2. Select your target variable (what you want to predict)
3. Choose predictor variables (features)
4. Select a model type (Linear Regression, Random Forest, etc.)
5. Click "Train Model"

The platform trains the model, displays performance metrics (R², RMSE, accuracy), and allows you to make predictions on new data.

Create Visualizations

Elneuro offers powerful visualization capabilities:

Standard Charts

• Scatter plots: Explore relationships between variables
• Histograms: Understand data distributions
• Box plots: Compare groups and identify outliers
• Line charts: Track trends over time

Multidimensional Visualization

Go to Multi-D Viz for advanced visualizations:

• 3D scatter plots with color and size encoding
• Parallel coordinates for high-dimensional data
• Heatmaps and correlation matrices
• Interactive PCA and clustering visualizations

Build Control Charts (SPC)

For quality control applications:

1. Navigate to Control Charts
2. Select your measurement variable
3. Choose chart type (X-bar & R, I-MR, p-chart, etc.)
4. Configure subgroup size if applicable
5. Optionally add specification limits for capability analysis
6. Click "Generate Chart"

The platform calculates control limits, flags out-of-control points, and computes process capability indices (Cp, Cpk).

Export Your Results

Share your analysis with colleagues or integrate into reports:

Export Options

• CSV/Excel: Export processed data and results
• PNG/PDF: Save visualizations as images
• Screenshots: Capture current view with one click
• Full Report: Generate comprehensive analysis report

Go to Export Data to access all export options. You can also use the screenshot tool in the sidebar for quick captures.