> ## Documentation Index
> Fetch the complete documentation index at: https://docs.nebuly.com/llms.txt
> Use this file to discover all available pages before exploring further.

# Create a new chart

Building a new chart in Nebuly takes just a few clicks, and results arrive in seconds. Let's see how.

<Steps>
  <Step title="Create a new chart">
    Click the **Add new** button in the left sidebar and select **Chart** to open the chart builder.
  </Step>

  <Step title="Select a metric">
    Select the metric you want to analyze. You can find the full list of available metrics in the [Key Metrics](/guides/key-metrics) guide.

    <img src="https://mintcdn.com/nebulyai/h9aKiGKVR2DLe52O/images/analytics_variables.png?fit=max&auto=format&n=h9aKiGKVR2DLe52O&q=85&s=662e2e6ed0191a4db61a0496f577936e" alt="Alt Text" width="4494" height="2493" data-path="images/analytics_variables.png" />
  </Step>

  <Step title="Apply filters">
    Use filters to narrow down your data and exclude what's not relevant. You can apply one or more filters at the same time. Nebuly supports 100+ filters — here are some examples.

    | Filter                 | Description                                                                                                                                  |
    | ---------------------- | -------------------------------------------------------------------------------------------------------------------------------------------- |
    | **Topic**              | The main theme the user is talking about during the interaction                                                                              |
    | **Data source**        | The external reference or knowledge sources the LLM might use to fetch or validate information                                               |
    | **Language**           | The specific language in which the model generates its response                                                                              |
    | **User**               | The specific user ID                                                                                                                         |
    | **Action**             | The task or question the user performs during an interaction                                                                                 |
    | **Frustration reason** | Specific reasons a user might be frustrated, such as verbosity, insufficient knowledge, lack of clarity, or the answer not being deep enough |

    <img src="https://mintcdn.com/nebulyai/h9aKiGKVR2DLe52O/images/analytics_filters.png?fit=max&auto=format&n=h9aKiGKVR2DLe52O&q=85&s=e0c6d92d6e4c2ce92829594e5dd5e40e" alt="Alt Text" width="4500" height="2496" data-path="images/analytics_filters.png" />
  </Step>

  <Step title="Group your data">
    Use `Group by` to segment your data and compare different slices side by side. Like filters, Nebuly supports 100+ dimensions — here are some examples.

    | Group                  | Description                                                                                                                                  |
    | ---------------------- | -------------------------------------------------------------------------------------------------------------------------------------------- |
    | **Topic**              | The main theme the user is talking about during the interaction                                                                              |
    | **Data source**        | The external reference or knowledge sources the LLM might use to fetch or validate information                                               |
    | **Language**           | The specific language in which the model generates its response                                                                              |
    | **User**               | The specific user ID                                                                                                                         |
    | **Action**             | The task or question the user performs during an interaction                                                                                 |
    | **Frustration reason** | Specific reasons a user might be frustrated, such as verbosity, insufficient knowledge, lack of clarity, or the answer not being deep enough |

    <img src="https://mintcdn.com/nebulyai/h9aKiGKVR2DLe52O/images/analytics_groups.png?fit=max&auto=format&n=h9aKiGKVR2DLe52O&q=85&s=2b7b41ccbec680c5e99b9e0a6aec2435" alt="Alt Text" width="4500" height="2487" data-path="images/analytics_groups.png" />
  </Step>

  <Step title="Choose a visualization">
    Select the chart type that best represents your data. While a `Line chart` is great for spotting trends over time, other types like `Horizontal bar chart` are more useful for comparing aggregated values across categories.

    <img src="https://mintcdn.com/nebulyai/h9aKiGKVR2DLe52O/images/analytics_charts.png?fit=max&auto=format&n=h9aKiGKVR2DLe52O&q=85&s=184292fc9f1fddc198dc7ade84e96792" alt="Alt Text" width="4500" height="951" data-path="images/analytics_charts.png" />
  </Step>

  <Step title="Analyze your results">
    Your chart is ready. You can add it to a report, or keep exploring by applying additional filters and group-bys to dig deeper into the data.
  </Step>
</Steps>