public static long CalculatePositiveTrend(Franchise franchise)
{
var trend = 0;
if (franchise.transactions.Count() > 0)
{
var transactions = franchise.transactions.OrderBy(t => t.date);
var firstDate = transactions.ElementAt(0).date;
// For normalization
var ticksSum = franchise.transactions.Sum(t => t.date.Ticks);
// For mean shift calculation
var averageTicks = franchise.transactions.Average(t => t.date.Ticks) / ticksSum;
var averageCommission = franchise.transactions.Average(t => t.commission);
// For line of best fit calculation
var y = 0.0;
var x = 0.0;
foreach (var trans in transactions)
{
var dx = (trans.date.Ticks - averageTicks) / ticksSum;
var dy = (double)trans.commission - (double)averageCommission;
y += dx * dy;
x += dx * dx;
}
trend = (int)(Math.Round(100 * y / x));
}
return(trend);
}
public static void PopulateFranchiseMetrics(Franchise franchise, FranchisesJson franchiseJson)
{
UInt32 homesSold = 0;
decimal totalSale = 0;
decimal totalCommission = 0;
foreach (Transaction t in franchise.transactions)
{
homesSold++;
totalSale += t.salesPrice;
totalCommission += t.commission;
}
franchiseJson.homesSold = homesSold;
franchiseJson.totalCommission = totalCommission;
franchiseJson.positiveTrend = CalculatePositiveTrend(franchise);
if (homesSold > 0)
{
franchiseJson.averageCommission = totalCommission / homesSold;
}
}
