fix notebook markdown issues

Author: DataBoyTX

demos/demos_databases_apis/spanner/google_spanner_finance_graph.ipynb

@@ -21,39 +21,43 @@
   },
   {
    "cell_type": "markdown",
-   "id": "814017ae-af4e-4331-b0b0-ed016d010ade",
+   "id": "aadde18c-979c-4379-b1a8-6a3f15912821",
    "metadata": {},
    "source": [
-    "# Demo Notebook - Graphistry and Google Spanner Graph \n",
+    "# Demo Notebook - Graphistry and Google Spanner Graph\n",
     "\n",
-    "Graphistry is a cutting-edge platform for large-scale visual graph exploration and analysis. It enables users to intuitively investigate complex relationships, patterns and anomalies across vast datasets through highly interactive, GPU-accelerated visualizations. Google Cloud Spanner, on the other hand, is a globally distributed, horizontally scalable, and strongly consistent database ideal for managing large, interconnected datasets.\n",
+    "Graphistry is a cutting-edge platform for large-scale visual graph exploration and analysis. It enables users to intuitively investigate complex relationships, patterns, and anomalies across vast datasets through highly interactive, GPU-accelerated visualizations. Google Cloud Spanner, on the other hand, is a globally distributed, horizontally scalable, and strongly consistent database ideal for managing large, interconnected datasets.\n",
     "\n",
-    "This interactive guide demonstrates how to combine the power of Graphistry's visual graph analytics and AI with the robust data capabilities of Google Cloud Spanner Graph. Together, these technologies empower you to:\n",
+    "This interactive guide demonstrates how to combine the power of Graphistry's visual graph analytics and AI with the robust data capabilities of Google Cloud Spanner Graph.\n",
     "\n",
-    "- **Visualize Complex Graphs**: Easily explore relationships and uncover insights in your data through rich visual representations.\n",
-    "- **Handle Large Datasets**: Leverage Cloud Spanner’s ability to manage vast amounts of interconnected information with strong consistency and scalability.\n",
-    "- **Perform Advanced Analytics**: Apply graph-based algorithms and clustering techniques to extract actionable insights from structured data.\n",
+    "Together, these technologies empower you to:\n",
+    "\n",
+    "- **Visualize Complex Graphs:** Easily explore relationships and uncover insights in your data through rich visual representations.  \n",
+    "- **Handle Large Datasets:** Leverage Cloud Spanner’s ability to manage vast amounts of interconnected information with strong consistency and scalability.  \n",
+    "- **Perform Advanced Analytics:** Apply graph-based algorithms and clustering techniques to extract actionable insights from structured data.\n",
     "\n",
     "This demo is designed for:\n",
-    "- **Data Scientists**: Interested in adding visual graph analytics to their toolkit.\n",
-    "- **Database Engineers**: Looking to integrate graph capabilities into their Cloud Spanner workflows.\n",
-    "- **Application Developer**: Prototyping applications built using Graphistry and Google Spanner \n",
+    "\n",
+    "- **Data Scientists:** Interested in adding visual graph analytics to their toolkit.  \n",
+    "- **Database Engineers:** Looking to integrate graph capabilities into their Cloud Spanner workflows.  \n",
+    "- **Application Developers:** Prototyping applications built using Graphistry and Google Spanner.\n",
     "\n",
     "This notebook showcases:\n",
-    "1. **Connecting to Cloud Spanner**: How to retrieve and preprocess data from Cloud Spanner for graph processing.\n",
-    "2. **Graph Visualization with Graphistry**: Turning raw data into meaningful visualizations to explore relationships and clusters.\n",
-    "3. **Real-World Use Cases**: Applying these tools to solve practical problems \n",
+    "\n",
+    "1. **Connecting to Cloud Spanner:** How to retrieve and preprocess data from Cloud Spanner for graph processing.  \n",
+    "2. **Graph Visualization with Graphistry:** Turning raw data into meaningful visualizations to explore relationships and clusters.  \n",
+    "3. **Real-World Use Cases:** Applying these tools to solve practical problems.\n",
     "\n",
     "## Prerequisites\n",
     "\n",
-    "- A Google Cloud account with access to Cloud Spanner.\n",
-    "- A Graphistry Enterprise Server or free-tier [Graphistry Hub account](https://www.graphistry.com/get-started) \n",
-    "- Python environment with Graphistry and gcloud spanner support (see pip install below) \n",
-    "- This demo is based on [FinGraph sample graph](https://codelabs.developers.google.com/codelabs/spanner-graph-getting-started#0)\n",
+    "- A Google Cloud account with access to Cloud Spanner.  \n",
+    "- A Graphistry Enterprise Server or free-tier [Graphistry Hub account](https://www.graphistry.com/get-started).  \n",
+    "- Python environment with Graphistry and gcloud spanner support (see pip install below).  \n",
+    "- This demo is based on [FinGraph sample graph](https://codelabs.developers.google.com/codelabs/spanner-graph-getting-started#0).\n",
     "\n",
     "### Let’s Get Started!\n",
     "\n",
-    "Dive in and see how the synergy of Graphistry and Google Cloud Spanner can transform your data exploration and analysis workflows."
+    "Dive in and see how the synergy of Graphistry and Google Cloud Spanner can transform your data exploration and analysis workflows.\n"
    ]
   },
   {