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KHAN ACADEMY ASSIGNMENT.py

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+# -*- coding: utf-8 -*-
+"""
+Created on Mon Jun 24 13:02:24 2024
+
+@author: aman_verma
+"""
+
+import pandas as pd
+import matplotlib.pyplot as plt
+import seaborn as sns
+
+# Load the Excel file
+file_path = R"C:\Users\dell\Documents\data\M&E Insight Analyst Assignment.xlsx"
+excel_data = pd.ExcelFile(file_path)
+
+# Display sheet names to understand the structure of the file
+sheet_names = "M&E Insight Analyst Assignment"
+print("Sheet names:", sheet_names)
+
+# Load the 'Dataset' sheet to examine its content
+data_df = pd.read_excel(file_path, sheet_name='Dataset')
+
+# Clean the dataset by setting appropriate headers and removing any non-data rows
+data_df.columns = data_df.iloc[0]
+data_df = data_df[1:]
+
+# Reset index for better handling
+data_df.reset_index(drop=True, inplace=True)
+
+# Rename the columns for better understanding
+data_df.columns = ['District Name', 'School Name', 'Total Students Registered', 'M1 Active', 'M2 Active', 
+                   'M3 Active', 'M4 Active', 'M5 Active', 'M6 Active', 'M7 Active', 'M8 Active', 'M9 Active', 
+                   'M10 Active', 'M11 Active', 'M12 Active', 'M1 Avg Learning Time', 'M2 Avg Learning Time', 
+                   'M3 Avg Learning Time', 'M4 Avg Learning Time', 'M5 Avg Learning Time', 'M6 Avg Learning Time', 
+                   'M7 Avg Learning Time', 'M8 Avg Learning Time', 'M9 Avg Learning Time', 'M10 Avg Learning Time', 
+                   'M11 Avg Learning Time', 'M12 Avg Learning Time']
+
+# Convert relevant columns to numeric values
+for col in data_df.columns[2:]:
+    data_df[col] = pd.to_numeric(data_df[col], errors='coerce')
+
+# Display cleaned dataframe
+print(data_df.head())
+
+# Descriptive analysis
+total_students_registered = data_df['Total Number of Students Registered'].sum()
+print("Total number of students registered on Khan Academy:", total_students_registered)
+
+# Calculate the number of active students for each month
+active_students_monthly = data_df[['M1', 'M2', 'M3', 'M4', 'M5', 
+                                   'M6', 'M7', 'M8', 'M9', 'M10', 
+                                   'M11', 'M12']].sum()
+print("Number of active students each month:")
+print(active_students_monthly)
+
+# Calculate the average learning time per student for each month
+avg_learning_time_monthly = data_df[['M1', 'M2', 'M3', 
+                                     'M4', 'M5', 'M6', 
+                                     'M7', 'M8', 'M9', 
+                                     'M10', 'M11', 'M12']].mean()
+print("Average learning time per student each month:")
+print(avg_learning_time_monthly)
+
+# Visualization
+# Plotting the number of active students month-wise
+plt.figure(figsize=(12, 6))
+sns.barplot(x=active_students_monthly.index, y=active_students_monthly.values)
+plt.title('Number of Active Students per Month')
+plt.xlabel('Month')
+plt.ylabel('Number of Active Students')
+plt.xticks(rotation=45)
+plt.show()
+
+# Plotting the average learning time per student month-wise
+plt.figure(figsize=(12, 6))
+sns.lineplot(x=avg_learning_time_monthly.index, y=avg_learning_time_monthly.values, marker='o')
+plt.title('Average Learning Time per Student per Month')
+plt.xlabel('Month')
+plt.ylabel('Average Learning Time (minutes)')
+plt.xticks(rotation=45)
+plt.show()