Completed

src/1-line-plot.ipynb

@@ -13,8 +13,28 @@
    "metadata": {},
    "outputs": [],
    "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."
+    "import matplotlib.pyplot as plt\n",
+    "import numpy as np\n",
+    "\n",
+    "# Generate x values from 0 to 10\n",
+    "x = np.linspace(0, 10, 100)\n",
+    "\n",
+    "# Calculate y values as the square of x\n",
+    "y = x ** 2\n",
+    "\n",
+    "# Create the plot\n",
+    "plt.plot(x, y)\n",
+    "\n",
+    "# Add title and labels\n",
+    "plt.title('Line Plot of y = x^2')\n",
+    "plt.xlabel('x values')\n",
+    "plt.ylabel('y values (x^2)')\n",
+    "\n",
+    "# Add grid\n",
+    "plt.grid(True)\n",
+    "\n",
+    "# Show the plot\n",
+    "plt.show()"
    ]
   }
  ],

src/2-bar-plot.ipynb

@@ -13,8 +13,14 @@
    "metadata": {},
    "outputs": [],
    "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 for categories and values\n",
+    "categories = ['A', 'B', 'C', 'D']\n",
+    "values = [5, 7, 3, 9]\n",
+    "\n",
+    "# Create the bar plot with different colors\n",
+    "plt.bar(categories, values, color=['red', 'blue', 'green', 'purple'])"
    ]
   }
  ],

src/3-scatter-plot.ipynb

@@ -13,8 +13,24 @@
    "metadata": {},
    "outputs": [],
    "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 for x and y\n",
+    "x = [1, 2, 3, 4, 5]\n",
+    "y = [2, 4, 6, 8, 10]\n",
+    "\n",
+    "# Create the scatter plot\n",
+    "plt.scatter(x, y)\n",
+    "\n",
+    "# Annotate each point with its (x, y) value\n",
+    "for i in range(len(x)):\n",
+    "    plt.annotate(f'({x[i]}, {y[i]})', (x[i], y[i]), textcoords=\"offset points\", xytext=(0, 5), ha='center')\n",
+    "\n",
+    "# Set the title of the plot\n",
+    "plt.title('Scatter Plot with Annotations')\n",
+    "\n",
+    "# Show the plot\n",
+    "plt.show()"
    ]
   }
  ],

src/4-pie-chart.ipynb

@@ -13,8 +13,20 @@
    "metadata": {},
    "outputs": [],
    "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 for labels and sizes\n",
+    "labels = ['Python', 'Java', 'C++', 'JavaScript']\n",
+    "sizes = [40, 25, 20, 15]\n",
+    "\n",
+    "# Create the pie chart\n",
+    "plt.pie(sizes, labels=labels, autopct='%1.1f%%', startangle=90)\n",
+    "\n",
+    "# Set the title of the plot\n",
+    "plt.title('Programming Language Usage')\n",
+    "\n",
+    "# Display the pie chart\n",
+    "plt.show()"
    ]
   }
  ],

src/5-subplot.ipynb

@@ -13,8 +13,43 @@
    "metadata": {},
    "outputs": [],
    "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",
+    "import numpy as np\n",
+    "\n",
+    "# Create a 2x2 subplot layout\n",
+    "fig, axs = plt.subplots(2, 2, figsize=(10, 8))\n",
+    "\n",
+    "# 1st subplot: Line chart\n",
+    "x = np.linspace(0, 10, 100)\n",
+    "y = x ** 2\n",
+    "axs[0, 0].plot(x, y)\n",
+    "axs[0, 0].set_title('Line Chart: y = x^2')\n",
+    "\n",
+    "# 2nd subplot: Bar chart\n",
+    "categories = ['A', 'B', 'C', 'D']\n",
+    "values = [5, 7, 3, 9]\n",
+    "axs[0, 1].bar(categories, values, color=['red', 'blue', 'green', 'purple'])\n",
+    "axs[0, 1].set_title('Bar Chart')\n",
+    "\n",
+    "# 3rd subplot: Scatter plot\n",
+    "x_scatter = [1, 2, 3, 4, 5]\n",
+    "y_scatter = [2, 4, 6, 8, 10]\n",
+    "axs[1, 0].scatter(x_scatter, y_scatter)\n",
+    "for i in range(len(x_scatter)):\n",
+    "    axs[1, 0].annotate(f'({x_scatter[i]}, {y_scatter[i]})', (x_scatter[i], y_scatter[i]), textcoords=\"offset points\", xytext=(0, 5), ha='center')\n",
+    "axs[1, 0].set_title('Scatter Plot with Annotations')\n",
+    "\n",
+    "# 4th subplot: Pie chart\n",
+    "labels = ['Python', 'Java', 'C++', 'JavaScript']\n",
+    "sizes = [40, 25, 20, 15]\n",
+    "axs[1, 1].pie(sizes, labels=labels, autopct='%1.1f%%', startangle=90)\n",
+    "axs[1, 1].set_title('Pie Chart')\n",
+    "\n",
+    "# Adjust layout to prevent overlap\n",
+    "plt.tight_layout()\n",
+    "\n",
+    "# Show the plot\n",
+    "plt.show()"
    ]
   }
  ],

src/6-histogram.ipynb

@@ -13,8 +13,21 @@
    "metadata": {},
    "outputs": [],
    "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 for the histogram\n",
+    "data = [1, 2, 2, 3, 3, 3, 4, 4, 4, 4, 5]\n",
+    "\n",
+    "# Create the histogram\n",
+    "plt.hist(data, bins=5, color='skyblue', edgecolor='black')\n",
+    "\n",
+    "# Add title and labels\n",
+    "plt.title('Histogram of Given Data')\n",
+    "plt.xlabel('Values')\n",
+    "plt.ylabel('Frequency')\n",
+    "\n",
+    "# Show the plot\n",
+    "plt.show()"
    ]
   }
  ],