Python_Basics_23(Data Visualization 2).ipynb

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        "<a href=\"https://colab.research.google.com/github/Dhinesh-Fedor/Python---Basics/blob/main/Python_Basics_23(Data%20Visualization%202).ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "source": [
        "#Scatter plot using plotly\n",
        "\n",
        "import plotly.express as px\n",
        "import pandas as pd\n",
        "\n",
        "df = pd.DataFrame({\n",
        "    'x': [1,2,3,4,5],\n",
        "\n",
        "    'y' : [10,14,18,22,26]\n",
        "})\n",
        "\n",
        "fig = px.scatter(df, x = 'x', y = 'y', title = 'Scatter Plot')\n",
        "fig.show()"
      ],
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          "height": 542
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      "source": [
        "#Scatter Plot using Altair\n",
        "\n",
        "import altair as alt\n",
        "\n",
        "chart = alt.Chart(df).mark_point().encode(\n",
        "    x = 'x',\n",
        "    y = 'y'\n",
        ").properties(\n",
        "    title = 'Scatter Plot'\n",
        ")\n",
        "\n",
        "chart"
      ],
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          "height": 385
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              "\n",
              "<div id=\"altair-viz-da6a7383babb4d0f917d33f7032a83ca\"></div>\n",
              "<script type=\"text/javascript\">\n",
              "  var VEGA_DEBUG = (typeof VEGA_DEBUG == \"undefined\") ? {} : VEGA_DEBUG;\n",
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              "      outputDiv = document.getElementById(\"altair-viz-da6a7383babb4d0f917d33f7032a83ca\");\n",
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              "    const paths = {\n",
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              "      \"vega-lib\": \"https://cdn.jsdelivr.net/npm//vega-lib?noext\",\n",
              "      \"vega-lite\": \"https://cdn.jsdelivr.net/npm//vega-lite@4.17.0?noext\",\n",
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              "\n",
              "    function maybeLoadScript(lib, version) {\n",
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              "      vegaEmbed(outputDiv, spec, embedOpt)\n",
              "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
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              "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
              "        .catch(showError)\n",
              "        .then(() => displayChart(vegaEmbed));\n",
              "    }\n",
              "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-9bfa13e89492ee85aec89e2a17293753\"}, \"mark\": \"point\", \"encoding\": {\"x\": {\"field\": \"x\", \"type\": \"quantitative\"}, \"y\": {\"field\": \"y\", \"type\": \"quantitative\"}}, \"title\": \"Scatter Plot\", \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-9bfa13e89492ee85aec89e2a17293753\": [{\"x\": 1, \"y\": 10}, {\"x\": 2, \"y\": 14}, {\"x\": 3, \"y\": 18}, {\"x\": 4, \"y\": 22}, {\"x\": 5, \"y\": 26}]}}, {\"mode\": \"vega-lite\"});\n",
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              "alt.Chart(...)"
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          },
          "metadata": {},
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      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#Line Plot using plotly\n",
        "\n",
        "fig = px.line(df, x='x',y='y',title = 'Line Plot')\n",
        "fig.show()"
      ],
      "metadata": {
        "id": "D8meEoFhamW_",
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          "height": 542
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      "execution_count": 5,
      "outputs": [
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    {
      "cell_type": "code",
      "source": [
        "#Line Plot using Altair\n",
        "\n",
        "chart = alt.Chart(df).mark_line().encode(\n",
        "    x = 'x',\n",
        "    y = 'y'\n",
        ").properties(\n",
        "    title = 'Line Plot'\n",
        ")\n",
        "\n",
        "chart"
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      "metadata": {
        "id": "8ZJsPEfibACH",
        "outputId": "fde3e6a6-26c6-4110-a8e8-724ec0b43ae5",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 382
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      },
      "execution_count": 7,
      "outputs": [
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              "\n",
              "    function displayChart(vegaEmbed) {\n",
              "      vegaEmbed(outputDiv, spec, embedOpt)\n",
              "        .catch(err => showError(`Javascript Error: ${err.message}<br>This usually means there's a typo in your chart specification. See the javascript console for the full traceback.`));\n",
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              "\n",
              "    if(typeof define === \"function\" && define.amd) {\n",
              "      requirejs.config({paths});\n",
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              "      maybeLoadScript(\"vega\", \"5\")\n",
              "        .then(() => maybeLoadScript(\"vega-lite\", \"4.17.0\"))\n",
              "        .then(() => maybeLoadScript(\"vega-embed\", \"6\"))\n",
              "        .catch(showError)\n",
              "        .then(() => displayChart(vegaEmbed));\n",
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              "  })({\"config\": {\"view\": {\"continuousWidth\": 400, \"continuousHeight\": 300}}, \"data\": {\"name\": \"data-9bfa13e89492ee85aec89e2a17293753\"}, \"mark\": \"line\", \"encoding\": {\"x\": {\"field\": \"x\", \"type\": \"quantitative\"}, \"y\": {\"field\": \"y\", \"type\": \"quantitative\"}}, \"title\": \"Line Plot\", \"$schema\": \"https://vega.github.io/schema/vega-lite/v4.17.0.json\", \"datasets\": {\"data-9bfa13e89492ee85aec89e2a17293753\": [{\"x\": 1, \"y\": 10}, {\"x\": 2, \"y\": 14}, {\"x\": 3, \"y\": 18}, {\"x\": 4, \"y\": 22}, {\"x\": 5, \"y\": 26}]}}, {\"mode\": \"vega-lite\"});\n",
              "</script>"
            ],
            "text/plain": [
              "alt.Chart(...)"
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          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    }
  ],
  "metadata": {
    "colab": {
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