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DataAnalyzer.cs
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DataAnalyzer.cs
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using Accord.Controls;
using Deedle;
using System;
using System.Collections.Generic;
using System.IO;
using System.Linq;
using System.Text;
using System.Threading.Tasks;
namespace DataAnalyzer
{
class Program
{
static void Main(string[] args)
{
Console.SetWindowSize(100, 60);
// Read in the Online Retail dataset
// TODO: change the path to point to your data directory
string dataDirPath = @"\\Mac\Home\Documents\c-sharp-machine-learning\ch.6\input-data";
// Load the data into a data frame
string dataPath = Path.Combine(dataDirPath, "data.csv");
Console.WriteLine("Loading {0}\n\n", dataPath);
var ecommerceDF = Frame.ReadCsv(
dataPath,
hasHeaders: true,
inferTypes: true
);
Console.WriteLine("* Shape: {0}, {1}\n\n", ecommerceDF.RowCount, ecommerceDF.ColumnCount);
// 1. Missing CustomerID Values
ecommerceDF
.Columns[new string[] { "CustomerID", "InvoiceNo", "StockCode", "Quantity", "UnitPrice", "Country" }]
.GetRowsAt(new int[] { 1440, 1441, 1442, 1443, 1444, 1445, 1446 })
.Print();
Console.WriteLine("\n\n* # of values in CustomerID column: {0}", ecommerceDF["CustomerID"].ValueCount);
// Drop missing values
ecommerceDF = ecommerceDF
.Columns[new string[] { "CustomerID", "Description", "Quantity", "UnitPrice", "Country" }]
.DropSparseRows();
// Per-Transaction Purchase Amount = Quantity * UnitPrice
ecommerceDF.AddColumn("Amount", ecommerceDF["Quantity"] * ecommerceDF["UnitPrice"]);
Console.WriteLine("\n\n* Shape (After dropping missing values): {0}, {1}\n", ecommerceDF.RowCount, ecommerceDF.ColumnCount);
Console.WriteLine("* After dropping missing values and unnecessary columns:");
ecommerceDF.GetRowsAt(new int[] { 0, 1, 2, 3, 4 }).Print();
// Export Data
ecommerceDF.SaveCsv(Path.Combine(dataDirPath, "data-clean.csv"));
// 2. Number of transactions by country
var numTransactionsByCountry = ecommerceDF
.AggregateRowsBy<string, int>(
new string[] { "Country" },
new string[] { "CustomerID" },
x => x.ValueCount
).SortRows("CustomerID");
var top5 = numTransactionsByCountry
.GetRowsAt(new int[] {
numTransactionsByCountry.RowCount-1, numTransactionsByCountry.RowCount-2,
numTransactionsByCountry.RowCount-3, numTransactionsByCountry.RowCount-4,
numTransactionsByCountry.RowCount-5 });
top5.Print();
var topTransactionByCountryBarChart = DataBarBox.Show(
top5.GetColumn<string>("Country").Values.ToArray().Select(x => x.Equals("United Kingdom") ? "UK" : x),
top5["CustomerID"].Values.ToArray()
);
topTransactionByCountryBarChart.SetTitle(
"Top 5 Countries with the most number of transactions"
);
// 3. Per-Transaction Quantity Distributions
Console.WriteLine("\n\n-- Per-Transaction Order Quantity Distribution-- ");
double[] quantiles = Accord.Statistics.Measures.Quantiles(
ecommerceDF["Quantity"].ValuesAll.ToArray(),
new double[] { 0, 0.25, 0.5, 0.75, 1.0 }
);
Console.WriteLine(
"Min: \t\t\t{0:0.00}\nQ1 (25% Percentile): \t{1:0.00}\nQ2 (Median): \t\t{2:0.00}\nQ3 (75% Percentile): \t{3:0.00}\nMax: \t\t\t{4:0.00}",
quantiles[0], quantiles[1], quantiles[2], quantiles[3], quantiles[4]
);
Console.WriteLine("\n\n-- Per-Transaction Purchase-Order Quantity Distribution-- ");
quantiles = Accord.Statistics.Measures.Quantiles(
ecommerceDF["Quantity"].Where(x => x.Value >= 0).ValuesAll.ToArray(),
new double[] { 0, 0.25, 0.5, 0.75, 1.0 }
);
Console.WriteLine(
"Min: \t\t\t{0:0.00}\nQ1 (25% Percentile): \t{1:0.00}\nQ2 (Median): \t\t{2:0.00}\nQ3 (75% Percentile): \t{3:0.00}\nMax: \t\t\t{4:0.00}",
quantiles[0], quantiles[1], quantiles[2], quantiles[3], quantiles[4]
);
Console.WriteLine("\n\n-- Per-Transaction Cancel-Order Quantity Distribution-- ");
quantiles = Accord.Statistics.Measures.Quantiles(
ecommerceDF["Quantity"].Where(x => x.Value < 0).ValuesAll.ToArray(),
new double[] { 0, 0.25, 0.5, 0.75, 1.0 }
);
Console.WriteLine(
"Min: \t\t\t{0:0.00}\nQ1 (25% Percentile): \t{1:0.00}\nQ2 (Median): \t\t{2:0.00}\nQ3 (75% Percentile): \t{3:0.00}\nMax: \t\t\t{4:0.00}",
quantiles[0], quantiles[1], quantiles[2], quantiles[3], quantiles[4]
);
// 4. Per-Transaction Unit Price Distributions
Console.WriteLine("\n\n-- Per-Transaction Unit Price Distribution-- ");
quantiles = Accord.Statistics.Measures.Quantiles(
ecommerceDF["UnitPrice"].ValuesAll.ToArray(),
new double[] { 0, 0.25, 0.5, 0.75, 1.0 }
);
Console.WriteLine(
"Min: \t\t\t{0:0.00}\nQ1 (25% Percentile): \t{1:0.00}\nQ2 (Median): \t\t{2:0.00}\nQ3 (75% Percentile): \t{3:0.00}\nMax: \t\t\t{4:0.00}",
quantiles[0], quantiles[1], quantiles[2], quantiles[3], quantiles[4]
);
// 5. Per-Transaction Purchase Price Distributions
Console.WriteLine("\n\n-- Per-Transaction Total Amount Distribution-- ");
quantiles = Accord.Statistics.Measures.Quantiles(
ecommerceDF["Amount"].ValuesAll.ToArray(),
new double[] { 0, 0.25, 0.5, 0.75, 1.0 }
);
Console.WriteLine(
"Min: \t\t\t{0:0.00}\nQ1 (25% Percentile): \t{1:0.00}\nQ2 (Median): \t\t{2:0.00}\nQ3 (75% Percentile): \t{3:0.00}\nMax: \t\t\t{4:0.00}",
quantiles[0], quantiles[1], quantiles[2], quantiles[3], quantiles[4]
);
Console.WriteLine("\n\n-- Per-Transaction Purchase-Order Total Amount Distribution-- ");
quantiles = Accord.Statistics.Measures.Quantiles(
ecommerceDF["Amount"].Where(x => x.Value >= 0).ValuesAll.ToArray(),
new double[] { 0, 0.25, 0.5, 0.75, 1.0 }
);
Console.WriteLine(
"Min: \t\t\t{0:0.00}\nQ1 (25% Percentile): \t{1:0.00}\nQ2 (Median): \t\t{2:0.00}\nQ3 (75% Percentile): \t{3:0.00}\nMax: \t\t\t{4:0.00}",
quantiles[0], quantiles[1], quantiles[2], quantiles[3], quantiles[4]
);
Console.WriteLine("\n\n-- Per-Transaction Cancel-Order Total Amount Distribution-- ");
quantiles = Accord.Statistics.Measures.Quantiles(
ecommerceDF["Amount"].Where(x => x.Value < 0).ValuesAll.ToArray(),
new double[] { 0, 0.25, 0.5, 0.75, 1.0 }
);
Console.WriteLine(
"Min: \t\t\t{0:0.00}\nQ1 (25% Percentile): \t{1:0.00}\nQ2 (Median): \t\t{2:0.00}\nQ3 (75% Percentile): \t{3:0.00}\nMax: \t\t\t{4:0.00}",
quantiles[0], quantiles[1], quantiles[2], quantiles[3], quantiles[4]
);
// 6. # of Purchase vs. Cancelled Transactions
var purchaseVSCancelBarChart = DataBarBox.Show(
new string[] { "Purchase", "Cancel" },
new double[] {
ecommerceDF["Quantity"].Where(x => x.Value >= 0).ValueCount ,
ecommerceDF["Quantity"].Where(x => x.Value < 0).ValueCount
}
);
purchaseVSCancelBarChart.SetTitle(
"Purchase vs. Cancel"
);
Console.WriteLine("\n\n\n\n\nDONE!!!");
Console.ReadKey();
}
}
}