diff --git a/Data Analysis/Sentiment Analysis - Dow Jones (DJIA) Stock using News Headlines/ChartsForBetterUnderstanding.ipynb b/Data Analysis/Sentiment Analysis - Dow Jones (DJIA) Stock using News Headlines/ChartsForBetterUnderstanding.ipynb
new file mode 100644
index 000000000..a2192ef57
--- /dev/null
+++ b/Data Analysis/Sentiment Analysis - Dow Jones (DJIA) Stock using News Headlines/ChartsForBetterUnderstanding.ipynb	
@@ -0,0 +1,347 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "provenance": [],
+      "authorship_tag": "ABX9TyOgRugJT3RRLUyOI2cGaMmB",
+      "include_colab_link": true
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "markdown",
+      "metadata": {
+        "id": "view-in-github",
+        "colab_type": "text"
+      },
+      "source": [
+        "<a href=\"https://colab.research.google.com/github/SimranShaikh20/machine-learning-repos/blob/main/ChartsForBetterUnderstanding.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
+      ]
+    },
+    {
+      "cell_type": "markdown",
+      "source": [
+        "# Add some more charts for better understanding for Sentiment Analysis - Dow Jones (DJIA) Stock using News Headlines #1390"
+      ],
+      "metadata": {
+        "id": "A5GXTb67jVMK"
+      }
+    },
+    {
+      "cell_type": "code",
+      "execution_count": 1,
+      "metadata": {
+        "id": "6du_z3FDiMR9"
+      },
+      "outputs": [],
+      "source": [
+        "# Importing essential libraries\n",
+        "import numpy as np\n",
+        "import pandas as pd\n",
+        "\n",
+        "# Importing essential libraries for visualization\n",
+        "import matplotlib.pyplot as plt\n",
+        "import seaborn as sns\n",
+        "%matplotlib inline\n"
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# Load the dataset with a specified encoding\n",
+        "df = pd.read_csv('Stock Headlines.csv', encoding='ISO-8859-1')"
+      ],
+      "metadata": {
+        "id": "e-1iD4DBjg9-"
+      },
+      "execution_count": 4,
+      "outputs": []
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import matplotlib.pyplot as plt\n",
+        "\n",
+        "\n",
+        "# Plot the distribution of label values for train data\n",
+        "plt.figure(figsize=(8, 6))\n",
+        "sns.countplot(x=y_train)\n",
+        "plt.xlabel('Label Values')\n",
+        "plt.ylabel('Count')\n",
+        "plt.title('Distribution of Label Values for Train Data')\n",
+        "plt.show()\n",
+        "\n"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 564
+        },
+        "id": "T9a6oT2rjhLO",
+        "outputId": "54f01394-f1a5-4d4c-979e-69bdab42cf44"
+      },
+      "execution_count": 11,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 800x600 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# Plot the distribution of label values for test data\n",
+        "plt.figure(figsize=(8, 6))\n",
+        "sns.countplot(x=y_test)\n",
+        "plt.xlabel('Label Values')\n",
+        "plt.ylabel('Count')\n",
+        "plt.title('Distribution of Label Values for Test Data')\n",
+        "plt.show()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 564
+        },
+        "id": "q3iGocnUjhOS",
+        "outputId": "95400981-f917-4496-884c-17f390037e8c"
+      },
+      "execution_count": 12,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 800x600 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "import matplotlib.pyplot as plt\n",
+        "import seaborn as sns\n",
+        "\n",
+        "# Plotting the distribution of labels in train data\n",
+        "plt.figure(figsize=(8, 6))\n",
+        "sns.countplot(x='Label', data=train)\n",
+        "plt.title('Distribution of Sentiments in Training Data')\n",
+        "plt.xlabel('Sentiment (0: Down/Same, 1: Up)')\n",
+        "plt.ylabel('Count')\n",
+        "plt.show()\n",
+        "\n"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 564
+        },
+        "id": "jtqia3XKjhRf",
+        "outputId": "d32a62a0-0d6c-440c-ac07-a46ee9809446"
+      },
+      "execution_count": 17,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 800x600 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# Plotting the distribution of labels in test data\n",
+        "plt.figure(figsize=(8, 6))\n",
+        "sns.countplot(x='Label', data=test)\n",
+        "plt.title('Distribution of Sentiments in Test Data')\n",
+        "plt.xlabel('Sentiment (0: Down/Same, 1: Up)')\n",
+        "plt.ylabel('Count')\n",
+        "plt.show()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 564
+        },
+        "id": "AUUFSFPFjhUo",
+        "outputId": "dec9a073-c71a-46e7-81de-72ea4cde72ba"
+      },
+      "execution_count": 18,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 800x600 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "from sklearn.model_selection import train_test_split\n",
+        "df_copy = df.copy()\n",
+        "df_copy.head()\n",
+        "# Assuming 'Top1' contains the headlines as seen in the Global Variable: df\n",
+        "X = df_copy['Top1']  # Change 'Headline' to the actual column name containing headlines\n",
+        "y = df_copy['Label']\n",
+        "X_train, X_test, y_train, y_test = train_test_split(X, y, test_size=0.2, random_state=42)\n",
+        "\n",
+        "# **Pie Chart**\n",
+        "plt.figure(figsize=(8, 8))\n",
+        "plt.pie(y_train.value_counts(), labels=['Down/Same', 'Up'], autopct='%1.1f%%')\n",
+        "plt.title('Pie Chart of Stock Sentiments')\n",
+        "plt.show()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 675
+        },
+        "id": "NImG6ww-jhX6",
+        "outputId": "f6f8ea5f-ca6e-48f1-fbfa-976f3fa16b5c"
+      },
+      "execution_count": 24,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 800x800 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# **Histogram**\n",
+        "plt.figure(figsize=(8, 8))\n",
+        "plt.hist(y_train, bins=2, edgecolor='black')\n",
+        "plt.xlabel('Stock Sentiments (0-Down/Same, 1-Up)')\n",
+        "plt.ylabel('Frequency')\n",
+        "plt.title('Histogram of Stock Sentiments')\n",
+        "plt.show()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 718
+        },
+        "id": "ujgR7bhajhaP",
+        "outputId": "c79d9406-8dd7-444d-869d-1d0a1b5ace9e"
+      },
+      "execution_count": 25,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 800x800 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# **Scatter Chart**\n",
+        "plt.figure(figsize=(8, 8))\n",
+        "plt.scatter(y_train.value_counts().index, y_train.value_counts().values)\n",
+        "plt.xlabel('Stock Sentiments (0-Down/Same, 1-Up)')\n",
+        "plt.ylabel('Frequency')\n",
+        "plt.title('Scatter Chart of Stock Sentiments')\n",
+        "plt.show()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 718
+        },
+        "id": "lMxQfQgHjhbv",
+        "outputId": "8f50fc30-9d77-4f52-b810-caa4c0e56d10"
+      },
+      "execution_count": 26,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 800x800 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# **Line Chart**\n",
+        "plt.figure(figsize=(8, 8))\n",
+        "plt.plot(y_train.value_counts().index, y_train.value_counts().values)\n",
+        "plt.xlabel('Stock Sentiments (0-Down/Same, 1-Up)')\n",
+        "plt.ylabel('Frequency')\n",
+        "plt.title('Line Chart of Stock Sentiments')\n",
+        "plt.show()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 718
+        },
+        "id": "I7Lpyl_6jhel",
+        "outputId": "baed91cd-d40c-4d1d-ffde-249c778d24bd"
+      },
+      "execution_count": 27,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 800x800 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        }
+      ]
+    }
+  ]
+}
\ No newline at end of file