Create correlation_app.py

Author: shashankatthaluri

correlation_app.py

@@ -0,0 +1,104 @@
+import tkinter as tk
+from tkinter import messagebox, filedialog
+import matplotlib.pyplot as plt
+import numpy as np
+
+class CorrelationApp:
+    def __init__(self, master):
+        self.master = master
+        self.master.title("Correlation Coefficient App")
+
+        self.x_values = []
+        self.y_values = []
+
+        self.create_widgets()
+
+    def create_widgets(self):
+        # Input fields
+        tk.Label(self.master, text="X Coordinate:").grid(row=0, column=0)
+        tk.Label(self.master, text="Y Coordinate:").grid(row=1, column=0)
+
+        self.x_entry = tk.Entry(self.master)
+        self.y_entry = tk.Entry(self.master)
+
+        self.x_entry.grid(row=0, column=1)
+        self.y_entry.grid(row=1, column=1)
+
+        # Buttons
+        tk.Button(self.master, text="Add", command=self.add_data).grid(row=2, column=0, columnspan=2, pady=10)
+        tk.Button(self.master, text="Calculate", command=self.calculate).grid(row=3, column=0, columnspan=2, pady=10)
+        tk.Button(self.master, text="Load Data", command=self.load_data).grid(row=4, column=0, columnspan=2, pady=10)
+
+        # Result area
+        self.result_text = tk.Text(self.master, height=10, width=40)
+        self.result_text.grid(row=5, column=0, columnspan=2)
+
+    def add_data(self):
+        x_value = self.x_entry.get()
+        y_value = self.y_entry.get()
+
+        try:
+            x_value = float(x_value)
+            y_value = float(y_value)
+
+            self.x_values.append(x_value)
+            self.y_values.append(y_value)
+
+            self.result_text.insert(tk.END, f"Added: ({x_value}, {y_value})\n")
+
+            # Clear entries
+            self.x_entry.delete(0, tk.END)
+            self.y_entry.delete(0, tk.END)
+
+        except ValueError:
+            messagebox.showerror("Error", "Invalid input. Please enter valid numbers.")
+
+    def calculate(self):
+        if not self.x_values or not self.y_values:
+            messagebox.showerror("Error", "Please add data points before calculating.")
+            return
+
+        x_mean = np.mean(self.x_values)
+        y_mean = np.mean(self.y_values)
+        x_std = np.std(self.x_values)
+        y_std = np.std(self.y_values)
+
+        covariance = np.cov(self.x_values, self.y_values)[0, 1]
+        correlation_coefficient = covariance / (x_std * y_std)
+
+        result = f"Arithmetic Mean (X): {x_mean:.2f}\n" \
+                 f"Arithmetic Mean (Y): {y_mean:.2f}\n" \
+                 f"Standard Deviation (X): {x_std:.2f}\n" \
+                 f"Standard Deviation (Y): {y_std:.2f}\n" \
+                 f"Pearson Correlation Coefficient: {correlation_coefficient:.2f}\n"
+
+        self.result_text.delete(1.0, tk.END)  # Clear previous results
+        self.result_text.insert(tk.END, result)
+
+        # Bonus: Scatter plot
+        plt.scatter(self.x_values, self.y_values)
+        plt.title("Scatter Plot")
+        plt.xlabel("X Coordinate")
+        plt.ylabel("Y Coordinate")
+        plt.show()
+
+    def load_data(self):
+        file_path = filedialog.askopenfilename(title="Select Data File", filetypes=[("Text files", "*.txt")])
+
+        if not file_path:
+            return
+
+        try:
+            data = np.loadtxt(file_path, delimiter=',')
+            self.x_values.extend(data[:, 0])
+            self.y_values.extend(data[:, 1])
+
+            self.result_text.insert(tk.END, f"Loaded data from file: {file_path}\n")
+        except Exception as e:
+            messagebox.showerror("Error", f"Error loading data from file: {e}")
+
+# Main
+if __name__ == "__main__":
+    root = tk.Tk()
+    app = CorrelationApp(root)
+    root.mainloop()