Add more copy edits

Author: Alex Krawiec

docs/product/explore/traces/index.mdx

@@ -9,7 +9,7 @@ description: "Learn how to use the Sentry Trace Explorer to search span data, fi
   may have bugs. We recognize the irony.
 </Note>
 
-The [**Trace Explorer**](https://sentry.io/orgredirect/organizations/:orgslug/traces/) in Sentry is designed to make performance investigation easier and more intuitive. You can now explore span samples, visualize span attributes, and aggregate your data with flexible queries and filters. This guide will walk you through the key concepts and features of the Trace Explorer.
+The [**Trace Explorer**](https://sentry.io/orgredirect/organizations/:orgslug/traces/) in Sentry is designed to make investigating performance issues easier and more intuitive. You can now explore span samples, visualize span attributes, and aggregate your data with flexible queries and filters. This guide will walk you through the key concepts and features of the Trace Explorer.
 
 ![Trace Explorer Screenshot](./img/trace-explorer01.png)
 
@@ -52,7 +52,7 @@ Trace Explorer makes it easy to visualize metrics aggregated from any span attri
 
 1. **Set Up Visualization**:
    - Use the **Visualize** section to add metrics like `avg(span.duration)` or `p90(span.duration)` to the same chart by clicking **Add Series** or a different chart by clicking the **+** icon.
-   - You can also create custom visualizations like:
+   - You can also create custom visualizations such as:
      - **P90 of span durations**: Useful for identifying outliers.
      - **Average cache size**: Analyze attributes specific to backend spans.
 2. **Filter Your Data**:
@@ -74,7 +74,7 @@ Dive deeper into your data with aggregation capabilities in Trace Explorer.
    - Use the **Group By** section to group spans by any attribute, like `http.method`, `span.op`, or custom tags.
    - For example:
      - Group spans by `http.method` to compare the performance of `GET` vs `POST` requests.
-       -Analyze spans by `db.table` to find slow database operations.
+     - Analyze spans by `db.table` to find slow database operations.
 3. **Apply HAVING Conditions**:
    - After grouping, use **cell actions** to filter results directly in the table.
    - For example: