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  1. Shannon Diversity Index Calculator

    Knowing what the Shannon diversity index is can provide ecologists with useful information about a given habitat. Read on to learn what the Shannon–Wiener diversity index is, what it can tell …

  2. Simpson’s Diversity Index Calculator

    Efficiently calculate diversity index and understand the Gini index formula with our Simpson's diversity index calculator. Try it today!

  3. Shannon Entropy Calculator

    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 …

  4. Shannon-Wiener Index Rechner - Omni Calculator

    Mit dem Shannon-Wiener Index-Rechner kannst du die Artenvielfalt in einer Population abschätzen. Die Kenntnis des Shannon-Wiener Indexes kann Ökologen nützliche …

  5. Ecology Calculators

    Our bag footprint calculator helps you determine how often you need to reuse alternatives to plastic bags to overcome their negative environmental impact.

  6. Calcolatore dell'Indice di Shannon-Wiener - Omni Calculator

    Per ottenere l'indice di diversità di Shannon-Wiener per il tuo set di dati, immetti nel calcolatore il numero di individui di ogni specie. Puoi inserire fino a 40 campioni.

  7. Margin Calculator

    Use the online margin calculator to find out the sale price, the cost or the margin percentage itself.

  8. Calculadora do Índice de Diversidade de Shannon - Omni Calculator

    Para obter o índice de diversidade de Shannon-Wiener para seu conjunto de dados, insira o número de indivíduos em cada espécie na calculadora. Você pode inserir até 40 amostras.

  9. Proportion Calculator

    The proportion calculator helps compute identical proportions. Before we can use the calculator, it's important to understand what a proportion is and how to solve proportions by hand.

  10. Statistics Calculators

    Our confusion matrix calculator helps you to calculate all the metrics you need to assess the performance of your machine learning model.