Project 10.4 Data Visualization with Breast Cancer data.ipynb

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      "name": "Project 10. 4: Data Visualization with Breast Cancer data.ipynb",
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      "source": [
        "import pandas as pd\n",
        "b=pd.read_csv(\"/content/Breast_cancer_data.csv\")\n",
        "b"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Y5Hu3plKvfQ1",
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      "source": [
        "Plotting the Heatmap"
      ]
    },
    {
      "cell_type": "code",
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        "id": "B3k9sNzaqwdf",
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      "source": [
        "import seaborn as sns\n",
        "sns.heatmap(b.corr(),annot=True)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "LoDUkoWcvhuJ",
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      "source": [
        "Plotting the ScatterPlot between 'mean_radius' and 'mean_area'; segregating them on the basis of diagnosis."
      ]
    },
    {
      "cell_type": "code",
      "metadata": {
        "id": "HfntF2eOrODx",
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      "source": [
        "sns.scatterplot('mean_radius','mean_area',hue='diagnosis',data=b)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "gVHZDM2Evx06",
        "colab_type": "text"
      },
      "source": [
        "Plotting the ScatterPlot between 'mean_radius' and 'mean_perimeter'; segregating them on the basis of diagnosis."
      ]
    },
    {
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      "metadata": {
        "id": "dASlsXw2v_JM",
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      "source": [
        "sns.scatterplot('mean_radius','mean_perimeter',hue='diagnosis',data=b)"
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      "outputs": []
    },
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      "cell_type": "markdown",
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      "source": [
        "Plotting the ScatterPlot between 'mean_perimeter' and 'mean_area'; segregating them on the basis of diagnosis."
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    },
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      "cell_type": "code",
      "metadata": {
        "id": "QFPjUqzBwBtU",
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      "source": [
        "sns.scatterplot('mean_perimeter','mean_area',hue='diagnosis',data=b)"
      ],
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "Oj4pWxMJv4br",
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      },
      "source": [
        "Plotting the ScatterPlot between 'mean_radius' and 'mean_smoothness'; segregating them on the basis of diagnosis."
      ]
    },
    {
      "cell_type": "code",
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      "source": [
        "Plotting the ScatterPlot between 'mean_radius' and 'mean_texture'; segregating them on the basis of diagnosis."
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      "cell_type": "code",
      "metadata": {
        "id": "uScHx0lswH9m",
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      "cell_type": "markdown",
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        "id": "A1yTHbqcwQh3",
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      "cell_type": "markdown",
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        ""
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