diff --git a/ChartsForEmotionAnalysis.ipynb b/ChartsForEmotionAnalysis.ipynb
deleted file mode 100644
index a9d50a92..00000000
--- a/ChartsForEmotionAnalysis.ipynb
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@@ -1,456 +0,0 @@
-{
- "nbformat": 4,
- "nbformat_minor": 0,
- "metadata": {
- "colab": {
- "provenance": [],
- "authorship_tag": "ABX9TyOMZ2fc38YSiBcGv5ssVNYy",
- "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": [
- ""
- ]
- },
- {
- "cell_type": "markdown",
- "source": [
- "## Add Some more charts for better Understing"
- ],
- "metadata": {
- "id": "4u725hZCGSmA"
- }
- },
- {
- "cell_type": "code",
- "source": [
- "import pandas as pd\n",
- "import matplotlib.pyplot as plt\n",
- "import seaborn as sns\n",
- "\n",
- "# Assume we have a DataFrame 'df' with columns: 'movie', 'joy', 'sadness', 'anger', 'fear', 'surprise'\n",
- "# This would be the result of your text analysis\n",
- "\n",
- "# Sample data (replace this with your actual data)\n",
- "data = {\n",
- " 'movie': ['Movie1', 'Movie2', 'Movie3', 'Movie4', 'Movie5'],\n",
- " 'joy': [0.6, 0.3, 0.8, 0.4, 0.7],\n",
- " 'sadness': [0.2, 0.5, 0.1, 0.3, 0.2],\n",
- " 'anger': [0.1, 0.1, 0.05, 0.2, 0.05],\n",
- " 'fear': [0.05, 0.05, 0.02, 0.05, 0.02],\n",
- " 'surprise': [0.05, 0.05, 0.03, 0.05, 0.03]\n",
- "}\n",
- "\n",
- "df = pd.DataFrame(data)\n",
- "\n",
- "# 1. Stacked Bar Chart of Emotions per Movie\n",
- "df.set_index('movie').plot(kind='bar', stacked=True, figsize=(10, 6))\n",
- "plt.title('Emotion Distribution per Movie')\n",
- "plt.xlabel('Movies')\n",
- "plt.ylabel('Emotion Intensity')\n",
- "plt.legend(title='Emotions', bbox_to_anchor=(1.05, 1), loc='upper left')\n",
- "plt.tight_layout()\n",
- "plt.show()"
- ],
- "metadata": {
- "colab": {
- "base_uri": "https://localhost:8080/",
- "height": 607
- },
- "id": "UClTte9JFFIG",
- "outputId": "153d2000-4844-416f-9cc1-9351b6769240"
- },
- "execution_count": 1,
- "outputs": [
- {
- "output_type": "display_data",
- "data": {
- "text/plain": [
- "