Advanced Data Analytics Dashboard | cmaknowledge.in
Advanced Data Analytics Dashboard
Supports Excel (.xls, .xlsx) and CSV files up to 50MB
Processing your data...
Data Preview (First 10 Rows)
Select Columns to Analyze
Select the columns you want to include in the analysis. For large files, selecting fewer columns will improve performance.
Performance Tip: For large datasets, select only the most important columns to analyze.
Detected file size: calculating...
Selected:0 of 0 columns
Data Summary
Visualizations
Summary
Distribution
Correlations
Trends
Outliers
Sum of Numeric Fields
Interpretation: This chart shows the total sum of each numeric field. Higher values indicate areas with greater cumulative impact.
Average Values
Interpretation: Average values help identify typical measurements. Compare these to your expected benchmarks for performance evaluation.
Value Distribution
Interpretation: Distribution shows how values are spread. A normal distribution suggests natural variation, while skewed distributions may indicate outliers.
Minimum vs Maximum Values
Interpretation: The range between min and max values indicates variability. Wider ranges suggest greater volatility in that metric.
Data Distribution by Field
Interpretation: This visualization shows how values are distributed across different fields, helping identify patterns and concentrations.
Correlation Heatmap
Interpretation: Correlation analysis shows relationships between variables. Strong positive correlations (blue) indicate variables that move together, while negative correlations (red) show inverse relationships.
Trend Analysis
Interpretation: Trend analysis helps identify patterns over time or sequence. Upward trends indicate growth, while downward trends may signal declining performance.
Outlier Detection
Interpretation: Outliers are data points that significantly differ from other observations. These may indicate errors, special cases, or rare events that require investigation.
