Welcome,
User
!
Ready to analyze and visualize your data
Data Processing & Analysis System
Data Processing
Function Analysis
Multi-Function Analysis
Machine Learning
2D / 3D Plot Design
Source Type:
Select Source Type
URL
Excel/CSV File
Manual Input
Enter Data URL:
Supports JSON, CSV, or any text-based data format
Upload Data File:
Supports Excel (.xlsx, .xls), CSV (.csv), JSON (.json), and Text (.txt) files
Insert Manual Data (Multiple Formats Supported):
Process Data
Processing...
Reset
✅ Data processed successfully! Visualizing your data...
❌ Error processing data. Please check your input and try again.
Data Preview:
Data Source Type:
Select Source Type
Upload File (CSV, Excel, JSON, TXT, SQL)
URL Endpoint
Manual Input
Database Query
Upload Data File:
Supports: CSV, Excel (.xlsx, .xls), JSON, Text files, SQL queries
Enter Data URL:
Supports JSON endpoints, CSV files, or any text-based data format
Insert Function Data (Multiple Formats Supported):
Database Query (Simulated for Demo):
Note: This is a simulation. In a real application, configure database connection settings.
Analyze Functions
Analyzing Functions...
Reset
✅ Function analysis completed successfully!
❌ Error analyzing functions. Please check your input and try again.
Upload Excel File with Multiple Function Tabs:
Upload an Excel file where each sheet/tab represents a different function with x,y data
Analysis Options:
Normalize by height (100%)
Align maximum positions
Calculate function differences
Generate approximations
Polynomial Degrees:
Enter polynomial degrees (comma-separated):
Enter the polynomial degrees you want to analyze (minimum 2, maximum 20)
Fourier Series Terms:
Number of Fourier terms:
Number of terms for Fourier series approximation (1-20)
Analyze Multiple Functions
Processing Multiple Functions...
Reset
Export All Data
✅ Multi-function analysis completed successfully!
❌ Error analyzing multiple functions. Please check your file and try again.
1. Data Collection
Data Source:
Select Data Source
Website
File Upload
API Endpoint
Manual Input
Website URL:
CSS Selector (optional):
Upload Data File:
Supports CSV, Excel, JSON, and Text files
API Endpoint:
API Key (optional):
Manual Data Input:
Data Format:
Auto Detect
HTML Table
JSON
List and Items
HTML Code
Collect Data
Collecting...
Data Preview:
2. Model Training
Algorithm:
Linear Regression
Random Forest
Neural Networks
Support Vector Machine
Classification
Clustering
Decision Tree
Training Mode:
Standard
Cross Validation
Hyperparameter Tuning
Test Size:
20%
Random State:
Hyperparameter Tuning Options
Number of Iterations:
CV Folds:
Scoring Metric:
Accuracy
F1 Score
Precision
Recall
R²
MSE
Train Model
Training...
Training Results:
3. Make Predictions
Input Data for Prediction:
Make Predictions
Predicting...
Prediction Results:
4. Export Results
Export Scraping Data
Export Model
Export Visualization
Export Results:
✅ Operation completed successfully!
❌ Error processing request. Please check your input and try again.
Data Visualization Controls
1. Data Source
Select Data Source:
-- Choose Data Source --
Manual Input
File Upload
Random Data
Fixed Data
Enter Data (comma separated):
Labels (comma separated, optional):
Upload Data File:
Supported formats: CSV, JSON, TXT, Excel (XLSX, XLS), PDF, Word, XML
File Type (Auto-detected):
File type will be auto-detected from extension
Number of Data Points:
Minimum Value:
Maximum Value:
Select Dataset:
Linear Data (1,2,3,4,5)
Quadratic Data (1,4,9,16,25)
Sine Wave Data
Exponential Data
Sample Random Data
Data Size:
2. Visualization Type
Select Visualization Type:
-- Choose Plot Type --
2D Plot
3D Plot
2D Chart Type:
Line Chart
Bar Chart
Scatter Plot
Pie Chart
Radar Chart
Area Chart
Chart Title:
3D Plot Type:
3D Scatter Plot
3D Surface
3D Mesh
Plot Title:
Generate Visualization
Processing...
Reset Form
Export Results
Data Preview
2D Visualization
3D Visualization
Data Analysis
Download PNG
Download Data
Reset View
Download Image
Statistical Analysis
Data Distribution
Raw Data