Data & Analytics Tools

Build SQL queries visually with drag and drop

Visualize database schemas and relationships

Generate Entity Relationship Diagrams in text format

Convert between different data types safely

Calculate statistics (mean, median, mode, std dev)

Calculate correlation coefficients between datasets

Perform linear regression analysis

Detect outliers in numerical datasets

Calculate statistical sample sizes

Calculate ML metrics from confusion matrix

Scale and normalize features for ML models

Handle missing data with imputation strategies

Calculate optimal train/test split ratios

Plan k-fold cross-validation

Profile and analyze dataset characteristics

Create professional charts and graphs. Visualize data effectively. Export in multiple formats.

Analyze CSV files for data insights. Find patterns and anomalies. Generate statistics.

Format and indent JSON with proper structure

Format and validate XML data. Fix indentation and structure. Improve readability.

Compare two datasets side by side. Find differences and similarities. Highlight changes.

Find and identify duplicate entries in datasets. Remove redundant data. Clean your data.

Combine multiple CSV files into one. Merge datasets efficiently. Consolidate data.

Split large CSV files into smaller chunks. Manage data more easily. Organize datasets.

Create pivot tables from raw data. Analyze data from multiple angles. Generate insights.

Create histograms from numerical data. Visualize data distribution. Analyze frequency.