Update index.html

index.html

@@ -315,6 +315,28 @@
       ]
     };
 
+    // Function to remove outliers using IQR
+    function removeOutliers(xData, yData) {
+      const combinedData = xData.map((x, i) => ({ x, y: yData[i] }));
+
+      // Calculate quartiles and IQR for yData
+      const sortedY = yData.slice().sort((a, b) => a - b);
+      const Q1 = sortedY[Math.floor(sortedY.length * 0.25)];
+      const Q3 = sortedY[Math.floor(sortedY.length * 0.75)];
+      const IQR = Q3 - Q1;
+      const lowerBound = Q1 - 1.5 * IQR;
+      const upperBound = Q3 + 1.5 * IQR;
+
+      // Filter out outliers
+      const filteredData = combinedData.filter(point => point.y >= lowerBound && point.y <= upperBound);
+
+      // Separate x and y data
+      const filteredX = filteredData.map(point => point.x);
+      const filteredY = filteredData.map(point => point.y);
+
+      return { filteredX, filteredY };
+    }
+
     // Function to format the equation
     function formatEquation(type, coefficients) {
       if (type === 'Linear') {
@@ -329,7 +351,10 @@
 
     // Function to create a chart with best-fit regression
     function createChart(canvasId, xData, yData, xLabel, yLabel, bestFitId, bestFitAccuracyId, equationId, linearAccuracyId, expAccuracyId, quadAccuracyId) {
-      const chartData = xData.map((x, index) => ({ x: x, y: yData[index] }));
+      // Remove outliers
+      const { filteredX, filteredY } = removeOutliers(xData, yData);
+
+      const chartData = filteredX.map((x, index) => ({ x, y: filteredY[index] }));
 
       // Perform regressions
       const linear = regression.linear(chartData.map(point => [point.x, point.y]));