diff --git a/src/1-line-plot.ipynb b/src/1-line-plot.ipynb
index eab74494..44100a05 100644
--- a/src/1-line-plot.ipynb
+++ b/src/1-line-plot.ipynb
@@ -15,6 +15,23 @@
    "source": [
     "# TASK: Create a line plot with x values ranging from 0 to 10 and y values as the square of x.\n",
     "# Customize the plot by adding a title, labels for both axes, and a grid."
+    "mport matplotlib.pyplot as plt\n",
+    "\n",
+    "# Define x and y values\n"
+    "x = list(range(11))\n",         
+    "y = [i**2 for i in x]",        
+    "\n",
+    "# Create the plot\n",
+    "plt.plot(x, y)\n",
+    "\n",
+    "# Customize the plot\n",
+    "plt.title('Square Numbers Line Plot')",
+    "plt.xlabel('X values')\n",
+    "plt.ylabel('Y = X Squared')\n",
+    "plt.grid(True)\n",
+    "\n",
+    "# Show the plot\n",
+    "plt.show()"
    ]
   }
  ],
diff --git a/src/2-bar-plot.ipynb b/src/2-bar-plot.ipynb
index 9d3fb712..f1eca1b8 100644
--- a/src/2-bar-plot.ipynb
+++ b/src/2-bar-plot.ipynb
@@ -15,6 +15,23 @@
    "source": [
     "# TASK: Create a bar plot with the following data: categories = ['A', 'B', 'C', 'D'] and values = [5, 7, 3, 9].\n",
     "# Use different colors for each bar and add a title to the plot."
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# Data\n",
+    "categories = ['A', 'B', 'C', 'D']\n",
+    "values = [5, 7, 3, 9]\n",
+    "colors = ['red', 'blue', 'green', 'orange']\n",  
+    "\n",
+    "# Create bar plot\n",
+    "plt.bar(categories, values, color=colors)\n",
+    "\n",
+    "# Customize plot\n",
+    "plt.title('Bar Plot with Colors')\n",
+    "plt.xlabel('Categories')\n",
+    "plt.ylabel('Values')\n",
+    "\n",
+    "# Show plot\n",
+    "plt.show()"
    ]
   }
  ],
diff --git a/src/3-scatter-plot.ipynb b/src/3-scatter-plot.ipynb
index 9bed601f..f52dcbc5 100644
--- a/src/3-scatter-plot.ipynb
+++ b/src/3-scatter-plot.ipynb
@@ -15,6 +15,24 @@
    "source": [
     "# TASK: Create a scatter plot with x = [1, 2, 3, 4, 5] and y = [2, 4, 6, 8, 10].\n",
     "# Annotate each point with its (x, y) value, and set the title as 'Scatter Plot with Annotations'."
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# Data\n",
+    "x = [1, 2, 3, 4, 5]\n",
+    "y = [2, 4, 6, 8, 10]\n",
+    "\n",
+    "# Create scatter plot\n",
+    "plt.scatter(x, y)\n",
+    "\n",
+    "# Annotate each point\n",
+    "for i in range(len(x)): \n",
+    "plt.annotate(f'({x[i]}, {y[i]})', (x[i], y[i]), textcoords= 'offset points', xytext=(5,5), ha='center')\n",
+    "\n",
+    "# Set title\n",
+    "plt.title('Scatter Plot with Annotations')",
+    "\n",
+    "# Show plot\n",
+    "plt.show()"
    ]
   }
  ],
diff --git a/src/4-pie-chart.ipynb b/src/4-pie-chart.ipynb
index eedc5b94..17876410 100644
--- a/src/4-pie-chart.ipynb
+++ b/src/4-pie-chart.ipynb
@@ -15,6 +15,21 @@
    "source": [
     "# TASK: Create a pie chart with the following data: labels = ['Python', 'Java', 'C++', 'JavaScript'] and sizes = [40, 25, 20, 15].\n",
     "# Display the percentages on the chart using autopct."
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# Data\n", 
+    "labels = ['Python', 'Java', 'C++', 'JavaScript']\n",
+    "sizes = [40, 25, 20, 15]\n",
+    "\n",
+    "# Create pie char\n",
+    "plt.pie(sizes, labels=labels, autopct='%1.1f%%', startangle=140)\n",
+    "\n",
+    "# Equal aspect ratio ensures pie is drawn as a circle\n",
+    "plt.axis('equal')\n",
+    "plt.title('Programming Language Usage')\n",
+    "\n",
+    "# Show plot\n",
+    "plt.show()"
    ]
   }
  ],
diff --git a/src/5-subplot.ipynb b/src/5-subplot.ipynb
index 98e4fa95..0fceb0a7 100644
--- a/src/5-subplot.ipynb
+++ b/src/5-subplot.ipynb
@@ -15,6 +15,39 @@
    "source": [
     "# TASK: Create a 2x2 subplot layout.\n",
     "# Plot a line chart in the first subplot, a bar chart in the second, a scatter plot in the third, and a pie chart in the fourth."
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# Sample data\n",
+    "x = [1, 2, 3, 4, 5]\n",
+    "y = [10, 20, 25, 30, 40]\n",
+    "categories = ['A', 'B', 'C', 'D']\n",
+    "values = [5, 7, 3, 4]\n",
+    "labels = ['Python', 'Java', 'C++', 'JavaScript']\n",
+    "sizes = [40, 25, 20, 15]\n",
+    "\n",
+    "# Create 2x2 subplot layout\n",
+    "fig, axs = plt.subplots(2, 2, figsize=(10, 8))\n",
+    "\n",
+    "# Line chart\n",
+    "axs[0, 0].plot(x, y)\n",
+    "axs[0, 0].set_title('Line Chart')\n",
+    "\n",
+    "# Bar chart\n",
+    "axs[0, 1].bar(categories, values)\n",
+    "axs[0, 1].set_title('Bar Chart')\n",
+    "\n",
+    "# Scatter plot\n",
+    "axs[1, 0].scatter(x, y)\n",
+    "axs[1, 0].set_title('Scatter Plot')\n",
+    "\n",
+    "# Pie chart\n",
+    "axs[1, 1].pie(sizes, labels=labels, autopct='%1.1f%%', startangle=140)\n",
+    "axs[1, 1].set_title('Pie Chart')\n",
+    "axs[1, 1].axis('equal')\n",
+    "\n",
+    "# Adjust layout\n",
+    "plt.tight_layout()\n",
+    "plt.show()"
    ]
   }
  ],
diff --git a/src/6-histogram.ipynb b/src/6-histogram.ipynb
index 5e6e6b60..e0beadfe 100644
--- a/src/6-histogram.ipynb
+++ b/src/6-histogram.ipynb
@@ -15,6 +15,21 @@
    "source": [
     "# TASK: Create a histogram for the following data: data = [1, 2, 2, 3, 3, 3, 4, 4, 4, 4, 5].\n",
     "# Customize the histogram with a title, labels for the x-axis, and a specific color for the bars."
+    "import matplotlib.pyplot as plt\n",
+    "\n",
+    "# Data\n",
+    "data = [1, 2, 2, 3, 3, 3, 4, 4, 4, 4, 5]\n",
+    "\n",
+    "# Create histogram\n",
+    "plt.hist(data, bins=5, color='skyblue', edgecolor='black')\n",
+    "\n",
+    "# Customization\n",
+    "plt.title('Histogram of Given Data')\n",
+    "plt.xlabel('Value')\n",
+    "plt.ylabel('Frequency')\n",
+    "\n",
+    "# Show plot\n",
+    "plt.show()",
    ]
   }
  ],