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Compute Shannon entropy for a given event probability table or a given message using this online tool. Shannon entropy is a measure of the uncertainty or information in a random variable.
23 Απρ 2024 · Shannon entropy, also known as information entropy or the Shannon entropy index, is a measure of the degree of randomness in a set of data. It is used to calculate the uncertainty that comes with a certain character appearing next in a string of text.
Shannon Entropy Calculator. Named after Claude Shannon, the father of information theory, this calculator applies the principles of Shannon’s entropy formula to quantify the average amount of information contained in each event or symbol within a dataset.
Learn the concept of Shannon entropy, a metric that measures the uncertainty of a random variable. Use the simple calculator to paste your string and get the entropy value and the average number of bits needed to encode it.
Tool to calculate the Shannon index. The Shannon index is a measure of entropy for characters strings (or any computer data)
Calculate Shannon Entropy with our easy-to-use Shannon Entropy Calculator. Perfect for data analysis, information theory, and statistical applications. Get accurate entropy values quickly and efficiently.
Enter a string of symbols and get the Shannon entropy, metric entropy and other formulas for information theory. Learn how to encode the string optimally and assess its randomness.