# template class utils::Statistics

## Overview

Calculates statistical evaluation on a data set. More…

    #include <Statistics.h>

    template <typename Type>
    class Statistics {
    public:
        // construction

        Statistics();
        Statistics(size_t initial_capacity);
        Statistics(const std::vector<Type>& data_vector);

        // methods

        bool IsEmpty() const;
        void Clear();
        void Add(const Type value);
        size_t Count() const;
        Type Sum() const;
        Type Average() const;
        Type Min() const;
        Type Max() const;
        std::string ToString() const;
    };

## Detailed Documentation

Calculates statistical evaluation on a data set.

Example usage:

    utils::StatAnalyser<float> stat;

    for (size_t i=0; i<MAX_ITERATIONS; ++i)
    {
      float val = CalculateSomeValue();
      stat.Add(val);
    }

    std::cout << "Average value: " << stat.Average() << std::endl;

### Construction

    Statistics()

Creates new instance with default capacity of the data set.

    Statistics(size_t initial_capacity)

Creates new instance with specific capacity of the data set.

    Statistics(const std::vector<Type>& data_vector)

Creates new instance with initialized data set.

### Methods

    bool IsEmpty() const

Checks if there are no data records.

    void Clear()

Removes all stored data.

    void Add(const Type value)

Stores a data record in the data set.

    size_t Count() const

Returns number of stored data records.

    Type Sum() const

Returns a sum of all elements in the data set.

    Type Average() const

Returns average value of the data set.

    Type Min() const

Returns minimal value of the data set.

    Type Max() const

Returns maximal value of the data set.

    std::string ToString() const

Prints all statistical values to the string and returns it.