Update script.js

script.js

@@ -1,13 +1,14 @@
-let entropyData = [];
+let analysisData = [];
 
-function calculateShannonEntropy() {
-  const coinBias = parseFloat(document.getElementById("coin-bias").value);
+function calculateBitVectorAnalysis() {
+  const coinBiasInput = document.getElementById("coin-bias");
+  const coinBias = parseFloat(coinBiasInput.value.trim());
 
   if (isNaN(coinBias) || coinBias < 0 || coinBias > 100) {
     document.getElementById("result").textContent = "Please enter a valid probability of 1 (between 0 and 100%).";
   } else {
     // Check for duplicate entries
-    const exists = entropyData.some(data => data.bias === coinBias);
+    const exists = analysisData.some(data => data.bias === coinBias);
     if (exists) {
       document.getElementById("result").textContent = "This value already exists in the table.";
       return;
@@ -16,32 +17,41 @@ function calculateShannonEntropy() {
     const probabilityOfOne = coinBias / 100;
     const probabilityOfZero = 1 - probabilityOfOne;
     const shannonEntropy = -(probabilityOfOne * Math.log2(probabilityOfOne) + probabilityOfZero * Math.log2(probabilityOfZero));
+    const compressibility = shannonEntropy / (Math.log2(1 << 20)); // 1 << 20 represents the number of possibilities in the bit vector
     const formattedEntropy = shannonEntropy.toLocaleString(undefined, { maximumFractionDigits: 4 });
+    const formattedCompressibility = compressibility.toLocaleString(undefined, { maximumFractionDigits: 4 });
 
-    entropyData.push({ bias: coinBias, entropy: shannonEntropy });
+    analysisData.push({ bias: coinBias, entropy: shannonEntropy, compressibility: compressibility });
 
     // Sort the table and update
-    entropyData.sort((a, b) => b.entropy - a.entropy);
+    analysisData.sort((a, b) => b.entropy - a.entropy);
     updateTable();
 
     document.getElementById("result").textContent = ""; // Clear any previous messages
+    coinBiasInput.value = ""; // Clear the input field after adding to the table
   }
 }
 
 function updateTable() {
-  const tableBody = document.getElementById("entropy-table");
+  const tableBody = document.getElementById("analysis-table");
   tableBody.innerHTML = "";
 
-  entropyData.forEach((data) => {
+  analysisData.forEach((data) => {
     const row = document.createElement("tr");
     const biasCell = document.createElement("td");
     const entropyCell = document.createElement("td");
+    const compressibilityCell = document.createElement("td");
 
     biasCell.textContent = data.bias.toFixed(2) + "%";
     entropyCell.textContent = data.entropy.toFixed(4);
+    compressibilityCell.textContent = data.compressibility.toFixed(4);
 
     row.appendChild(biasCell);
     row.appendChild(entropyCell);
+    row.appendChild(compressibilityCell);
     tableBody.appendChild(row);
   });
 }
+
+// Show an empty table when the page loads
+updateTable();