static void display_graph(FrequencyArray freq_data, string xlabel, string ylabel)
{
// Determine scale for graph
int i;
double scale = (double)teminal_cols / (double)freq_data.MaxFreq;
Console.WriteLine("\n{0}| {1}", xlabel, ylabel);
Console.WriteLine(new String('-', teminal_cols + 6));
for (i = 0; i < freq_data.Length; i++)
{
string bar = new String('#', (int)Math.Round(freq_data.Frequency(i) * scale));
Console.WriteLine("{0}|{1} {2}", freq_data.Value(i), bar, freq_data.Frequency(i));
}
Console.WriteLine();
}
public void Calc(FrequencyArray freq_data)
{
// Average
_size = 0;
int i, sum = 0, max_freq = 0;
for (i = 0; i < freq_data.Length; i++)
{
_size += freq_data.Frequency(i);
sum += i * freq_data.Frequency(i);
if (freq_data.Frequency(i) > max_freq)
{
max_freq = freq_data.Frequency(i);
_mode = i;
}
}
_average = (double)sum / (double)_size;
// median and variance
double var = 0;
int count = 0;
_median = -1;
for (i = 0; i < freq_data.Length; i++)
{
var += (i - _average) * (i - _average) * freq_data.Frequency(i);
count += freq_data.Frequency(i);
if (_median == -1 && count >= _size / 2)
{
_median = i;
}
}
// standard deviation
_standard_deviation = Math.Sqrt(var / (double)(_size - 1));
}
