diff --git a/Amazon Reviews Sentiment Analysis/Model/AmazonAnalysisUsingEDA.ipynb b/Amazon Reviews Sentiment Analysis/Model/AmazonAnalysisUsingEDA.ipynb
new file mode 100644
index 000000000..6edb887e5
--- /dev/null
+++ b/Amazon Reviews Sentiment Analysis/Model/AmazonAnalysisUsingEDA.ipynb	
@@ -0,0 +1,640 @@
+{
+  "nbformat": 4,
+  "nbformat_minor": 0,
+  "metadata": {
+    "colab": {
+      "provenance": []
+    },
+    "kernelspec": {
+      "name": "python3",
+      "display_name": "Python 3"
+    },
+    "language_info": {
+      "name": "python"
+    }
+  },
+  "cells": [
+    {
+      "cell_type": "code",
+      "source": [
+        "# Import necessary libraries\n",
+        "import pandas as pd\n",
+        "import matplotlib.pyplot as plt\n",
+        "import seaborn as sns\n",
+        "\n",
+        "# Read the dataset\n",
+        "df = pd.read_csv('/content/amazon_reviews.csv')\n",
+        "\n",
+        "# Display the first few rows of the dataset\n",
+        "print(df.head())"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "inUP3D4Ux05x",
+        "outputId": "b81c48ff-c694-4559-ac34-6ccfb8906130"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "   Unnamed: 0  reviewerName  overall  \\\n",
+            "0           0           NaN      4.0   \n",
+            "1           1          0mie      5.0   \n",
+            "2           2           1K3      4.0   \n",
+            "3           3           1m2      5.0   \n",
+            "4           4  2&1/2Men      5.0   \n",
+            "\n",
+            "                                          reviewText  reviewTime  day_diff  \\\n",
+            "0                                         No issues.  2014-07-23       138   \n",
+            "1  Purchased this for my device, it worked as adv...  2013-10-25       409   \n",
+            "2  it works as expected. I should have sprung for...  2012-12-23       715   \n",
+            "3  This think has worked out great.Had a diff. br...  2013-11-21       382   \n",
+            "4  Bought it with Retail Packaging, arrived legit...  2013-07-13       513   \n",
+            "\n",
+            "   helpful_yes  helpful_no  total_vote  score_pos_neg_diff  \\\n",
+            "0            0           0           0                   0   \n",
+            "1            0           0           0                   0   \n",
+            "2            0           0           0                   0   \n",
+            "3            0           0           0                   0   \n",
+            "4            0           0           0                   0   \n",
+            "\n",
+            "   score_average_rating  wilson_lower_bound  \n",
+            "0                   0.0                 0.0  \n",
+            "1                   0.0                 0.0  \n",
+            "2                   0.0                 0.0  \n",
+            "3                   0.0                 0.0  \n",
+            "4                   0.0                 0.0  \n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# Basic information about the dataset\n",
+        "print(\"Basic Information:\")\n",
+        "print(df.info())\n",
+        "print(\"\\nFirst few rows:\")\n",
+        "print(df.head())"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/"
+        },
+        "id": "ROfEtquyx61H",
+        "outputId": "f6dfe634-19b5-470a-bb3a-ad9fefbebc08"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "stream",
+          "name": "stdout",
+          "text": [
+            "Basic Information:\n",
+            "<class 'pandas.core.frame.DataFrame'>\n",
+            "RangeIndex: 4915 entries, 0 to 4914\n",
+            "Data columns (total 12 columns):\n",
+            " #   Column                Non-Null Count  Dtype  \n",
+            "---  ------                --------------  -----  \n",
+            " 0   Unnamed: 0            4915 non-null   int64  \n",
+            " 1   reviewerName          4914 non-null   object \n",
+            " 2   overall               4915 non-null   float64\n",
+            " 3   reviewText            4914 non-null   object \n",
+            " 4   reviewTime            4915 non-null   object \n",
+            " 5   day_diff              4915 non-null   int64  \n",
+            " 6   helpful_yes           4915 non-null   int64  \n",
+            " 7   helpful_no            4915 non-null   int64  \n",
+            " 8   total_vote            4915 non-null   int64  \n",
+            " 9   score_pos_neg_diff    4915 non-null   int64  \n",
+            " 10  score_average_rating  4915 non-null   float64\n",
+            " 11  wilson_lower_bound    4915 non-null   float64\n",
+            "dtypes: float64(3), int64(6), object(3)\n",
+            "memory usage: 460.9+ KB\n",
+            "None\n",
+            "\n",
+            "First few rows:\n",
+            "   Unnamed: 0  reviewerName  overall  \\\n",
+            "0           0           NaN      4.0   \n",
+            "1           1          0mie      5.0   \n",
+            "2           2           1K3      4.0   \n",
+            "3           3           1m2      5.0   \n",
+            "4           4  2&amp;1/2Men      5.0   \n",
+            "\n",
+            "                                          reviewText  reviewTime  day_diff  \\\n",
+            "0                                         No issues.  2014-07-23       138   \n",
+            "1  Purchased this for my device, it worked as adv...  2013-10-25       409   \n",
+            "2  it works as expected. I should have sprung for...  2012-12-23       715   \n",
+            "3  This think has worked out great.Had a diff. br...  2013-11-21       382   \n",
+            "4  Bought it with Retail Packaging, arrived legit...  2013-07-13       513   \n",
+            "\n",
+            "   helpful_yes  helpful_no  total_vote  score_pos_neg_diff  \\\n",
+            "0            0           0           0                   0   \n",
+            "1            0           0           0                   0   \n",
+            "2            0           0           0                   0   \n",
+            "3            0           0           0                   0   \n",
+            "4            0           0           0                   0   \n",
+            "\n",
+            "   score_average_rating  wilson_lower_bound  \n",
+            "0                   0.0                 0.0  \n",
+            "1                   0.0                 0.0  \n",
+            "2                   0.0                 0.0  \n",
+            "3                   0.0                 0.0  \n",
+            "4                   0.0                 0.0  \n"
+          ]
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# 1. Pie Chart for Rating Distribution\n",
+        "plt.figure(figsize=(10, 8))\n",
+        "ratings_count = df['overall'].value_counts()\n",
+        "plt.pie(ratings_count.values, labels=ratings_count.index, autopct='%1.1f%%')\n",
+        "plt.title('Distribution of Ratings (Pie Chart)')\n",
+        "plt.show()\n"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 675
+        },
+        "id": "CNej_wsox6xr",
+        "outputId": "17c518e7-34d0-4aa3-c63b-bef15a6b6d35"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 1000x800 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "\n",
+        "import plotly.graph_objects as go # Import the plotly.graph_objects module and alias it as 'go'\n",
+        "\n",
+        "\n",
+        "# 2. Donut Chart for Rating Distribution\n",
+        "fig = go.Figure(data=[go.Pie(labels=ratings_count.index,\n",
+        "                            values=ratings_count.values,\n",
+        "                            hole=.3)]) # Now 'go' is defined and can be used\n",
+        "fig.update_layout(title='Distribution of Ratings (Donut Chart)')\n",
+        "fig.show()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 542
+        },
+        "id": "zVbbcrOm0AY0",
+        "outputId": "9d1cc9db-cd0d-40d5-b05b-5135f4bb0cd0"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/html": [
+              "<html>\n",
+              "<head><meta charset=\"utf-8\" /></head>\n",
+              "<body>\n",
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+              "                            \n",
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+              "</body>\n",
+              "</html>"
+            ]
+          },
+          "metadata": {}
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# 3. Horizontal Bar Chart for Rating Distribution\n",
+        "plt.figure(figsize=(10, 6))\n",
+        "ratings_count.plot(kind='barh')\n",
+        "plt.title('Distribution of Ratings (Horizontal Bar)')\n",
+        "plt.xlabel('Count')\n",
+        "plt.ylabel('Rating')\n",
+        "plt.show()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 564
+        },
+        "id": "f0VeTHuA0AVg",
+        "outputId": "dc9cc554-cba9-46b1-ac78-718adbd1ad1e"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 1000x600 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# 4. Area Chart for Ratings Over Time\n",
+        "df['reviewTime'] = pd.to_datetime(df['reviewTime'])\n",
+        "df['year'] = df['reviewTime'].dt.year\n",
+        "yearly_ratings = df.groupby('year')['overall'].mean()\n",
+        "plt.figure(figsize=(10, 6))\n",
+        "yearly_ratings.plot(kind='area', alpha=0.5)\n",
+        "plt.title('Average Rating Over Time (Area Chart)')\n",
+        "plt.xlabel('Year')\n",
+        "plt.ylabel('Average Rating')\n",
+        "plt.show()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 564
+        },
+        "id": "9yIZd8W70ATU",
+        "outputId": "39baff8e-670f-4537-bf9d-f7addf37d16c"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 1000x600 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# 5. Violin Plot for Review Length Distribution\n",
+        "plt.figure(figsize=(12, 6))\n",
+        "df['review_length'] = df['reviewText'].str.len()\n",
+        "sns.violinplot(x='overall', y='review_length', data=df)\n",
+        "plt.title('Review Length Distribution by Rating (Violin Plot)')\n",
+        "plt.xlabel('Rating')\n",
+        "plt.ylabel('Review Length')\n",
+        "plt.show()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 564
+        },
+        "id": "mOUQUdIWx6uq",
+        "outputId": "e4fe3796-406a-4e7e-db03-175b1a2b6dfe"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 1200x600 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# 6. Bubble Chart\n",
+        "plt.figure(figsize=(10, 6))\n",
+        "plt.scatter(df['helpful_yes'], df['overall'],\n",
+        "           s=df['total_vote']*100, alpha=0.5)\n",
+        "plt.title('Ratings vs Helpful Votes (Bubble Chart)')\n",
+        "plt.xlabel('Helpful Votes')\n",
+        "plt.ylabel('Rating')\n",
+        "plt.show()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 564
+        },
+        "id": "Dnsxisru0air",
+        "outputId": "d47829a4-1e3f-4db6-95f3-880a1f0813e0"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 1000x600 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# 7. Stacked Bar Chart for Helpful vs Unhelpful Votes\n",
+        "yearly_votes = df.groupby('year').agg({\n",
+        "    'helpful_yes': 'sum',\n",
+        "    'helpful_no': 'sum'\n",
+        "}).reset_index()\n",
+        "\n",
+        "plt.figure(figsize=(10, 6))\n",
+        "plt.bar(yearly_votes['year'], yearly_votes['helpful_yes'],\n",
+        "        label='Helpful')\n",
+        "plt.bar(yearly_votes['year'], yearly_votes['helpful_no'],\n",
+        "        bottom=yearly_votes['helpful_yes'], label='Unhelpful')\n",
+        "plt.title('Helpful vs Unhelpful Votes Over Time')\n",
+        "plt.xlabel('Year')\n",
+        "plt.ylabel('Number of Votes')\n",
+        "plt.legend()\n",
+        "plt.show()\n"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 564
+        },
+        "id": "3L8xB-si0afO",
+        "outputId": "fff99429-acb6-4768-bf28-869dafcb3345"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/plain": [
+              "<Figure size 1000x600 with 1 Axes>"
+            ],
+            "image/png": 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\n"
+          },
+          "metadata": {}
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# 8. Radar Chart for Average Metrics\n",
+        "metrics = ['overall', 'helpful_yes', 'helpful_no',\n",
+        "          'total_vote', 'score_average_rating']\n",
+        "avg_metrics = df[metrics].mean()\n",
+        "\n",
+        "fig = go.Figure(data=go.Scatterpolar(\n",
+        "    r=avg_metrics,\n",
+        "    theta=metrics,\n",
+        "    fill='toself'\n",
+        "))\n",
+        "fig.update_layout(title='Average Metrics (Radar Chart)')\n",
+        "fig.show()\n"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 542
+        },
+        "id": "tWqPFQvA0ad2",
+        "outputId": "88ed4807-50c2-4a5c-8365-39d556d3647d"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/html": [
+              "<html>\n",
+              "<head><meta charset=\"utf-8\" /></head>\n",
+              "<body>\n",
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+            ]
+          },
+          "metadata": {}
+        }
+      ]
+    },
+    {
+      "cell_type": "code",
+      "source": [
+        "# Import the necessary library and assign it to the alias 'px'\n",
+        "import plotly.express as px\n",
+        "\n",
+        "# 9. Treemap for Review Distribution\n",
+        "fig = px.treemap(df,\n",
+        "                 path=['year', 'overall'],\n",
+        "                 values='total_vote',\n",
+        "                 title='Review Distribution Treemap')\n",
+        "fig.show()"
+      ],
+      "metadata": {
+        "colab": {
+          "base_uri": "https://localhost:8080/",
+          "height": 542
+        },
+        "id": "bJcTXzLF0oVl",
+        "outputId": "95855228-dab9-47d4-ef02-1c37d3ffc50b"
+      },
+      "execution_count": null,
+      "outputs": [
+        {
+          "output_type": "display_data",
+          "data": {
+            "text/html": [
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+              "<head><meta charset=\"utf-8\" /></head>\n",
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