List <SalesData> generateSalesData(DateTime start, DateTime end)
{
// bogus product names
var names = "Commodo LX,Ipsum TX,Tempor SJ,Aliqua FT,Veniam AJ,Nostrud XJ,Laboris S4,Aliquip T5," +
"Consequat SS,Pariatur GT,Volupta AR,Velitesse AA,Cillum C1,Fugiat WJ,Nullax RS";
var products = names.Split(',');
// random sales data
var rnd = new Random(0);
var list = new List <SalesData>();
for (int i = 0; i < products.Length; i++)
{
var avg = (double)rnd.Next(1, 10);
var stdev = avg / rnd.Next(1, 4);
var trend = i > 3 ? 1 + rnd.NextDouble() / 5000 : 0;
for (var dt = start; dt <= end; dt = dt.AddDays(1))
{
var sd = new SalesData();
sd.DateShipped = dt;
sd.ProductName = products[i];
sd.TotalQuantity = GetNormal(rnd, avg, stdev);
list.Add(sd);
avg *= trend;
}
}
return(list);
}
List<SalesData> generateSalesData(DateTime start, DateTime end)
{
// bogus product names
var names = "Commodo LX,Ipsum TX,Tempor SJ,Aliqua FT,Veniam AJ,Nostrud XJ,Laboris S4,Aliquip T5," +
"Consequat SS,Pariatur GT,Volupta AR,Velitesse AA,Cillum C1,Fugiat WJ,Nullax RS";
var products = names.Split(',');
// random sales data
var rnd = new Random(0);
var list = new List<SalesData>();
for (int i = 0; i < products.Length; i++)
{
var avg = (double)rnd.Next(1, 10);
var stdev = avg / rnd.Next(1, 4);
var trend = i > 3 ? 1 + rnd.NextDouble() / 5000 : 0;
for (var dt = start; dt <= end; dt = dt.AddDays(1))
{
var sd = new SalesData();
sd.DateShipped = dt;
sd.ProductName = products[i];
sd.TotalQuantity = GetNormal(rnd, avg, stdev);
list.Add(sd);
avg *= trend;
}
}
return list;
}