Water Data Explorer
Surface correlations, time series, distributions, and optimization insights across every treatment dataset in one workspace.
Correlation Analysis
ℹ️ How to use: Select X and Y variables to explore relationships. Add color grouping to see how a third variable affects the correlation. Larger bubbles indicate multiple data points at the same location.
Select variables to view correlation
🔍 Choose X and Y axis variables above to explore correlations between water treatment parameters.
Time Series Analysis
ℹ️ How to use: Select up to 4 variables to view trends over time. Check "Own Y-axis" to force a variable onto its own axis, or let the system automatically group by similar scales. Use scroll to zoom into time periods, drag to pan left/right.
Variable 1:
Variable 2:
Variable 3:
Variable 4:
Variables over Time
💡 Scroll to zoom, drag to pan, double-click to reset
Distribution Analysis
ℹ️ How to use: Select a variable to see its frequency distribution. Adjust bin count to
change histogram detail. Statistics panel shows key metrics like mean, median, and standard deviation.
Key Statistics Explained:
• STD Deviation: Measures how spread out your data is from the average. Lower values
mean data points are clustered close to the mean; higher values indicate more variation.
• Q1 (First Quartile): The value below which 25% of your data falls. Useful for
identifying the lower range of typical values.
• Q3 (Third Quartile): The value below which 75% of your data falls. Helps identify the
upper range of typical values. The difference between Q3 and Q1 shows the middle 50% spread of your
data.
Statistics
Select variable to view distribution
Optimization Analysis
ℹ️ How to use: Select a target variable to optimize. The correlation matrix shows which variables most strongly influence your target. Click correlation buttons to view scatter plots with trend lines.