IQR.py

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        "def calculate_iqr(data):\n",
        "    sorted_data = sorted(data)\n",
        "    n = len(sorted_data)\n",
        "\n",
        "    # Calculate quartiles and IQR\n",
        "    q1_index = n // 4\n",
        "    q3_index = 3 * n // 4\n",
        "    q1 = sorted_data[q1_index]\n",
        "    q3 = sorted_data[q3_index]\n",
        "    iqr = q3 - q1\n",
        "\n",
        "    # Define lower and upper fences for outliers\n",
        "    lower_fence = q1 - 1.5 * iqr\n",
        "    upper_fence = q3 + 1.5 * iqr\n",
        "\n",
        "    # Identify outliers\n",
        "    outliers = [x for x in sorted_data if x < lower_fence or x > upper_fence]\n",
        "\n",
        "    # Calculate median\n",
        "    median = (sorted_data[(n - 1) // 2] + sorted_data[n // 2]) / 2\n",
        "\n",
        "    return q1, q3, iqr, lower_fence, upper_fence, outliers, median\n",
        "\n",
        "# Get user input for data\n",
        "user_input = input(\"Enter your dataset (comma-separated values): \")\n",
        "data = [float(x.strip()) for x in user_input.split(\",\")]\n",
        "\n",
        "# Calculate quartiles, IQR, fences, median, and identify outliers\n",
        "q1, q3, iqr, lower_fence, upper_fence, outliers, median = calculate_iqr(data)\n",
        "\n",
        "# Print results\n",
        "print(f\"First Quartile (Q1): {q1}\")\n",
        "print(f\"Third Quartile (Q3): {q3}\")\n",
        "print(f\"IQR: {iqr}\")\n",
        "print(f\"Lower Fence: {lower_fence}\")\n",
        "print(f\"Upper Fence: {upper_fence}\")\n",
        "print(f\"Median: {median}\")\n",
        "print(f\"outliers: {outliers}\")\n"
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          "text": [
            "Enter your dataset (comma-separated values): 26,37,24,28,35,22,31,53,41,64,29\n",
            "First Quartile (Q1): 26.0\n",
            "Third Quartile (Q3): 41.0\n",
            "IQR: 15.0\n",
            "Lower Fence: 3.5\n",
            "Upper Fence: 63.5\n",
            "Median: 31.0\n",
            "outliers: [64.0]\n"
          ]
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