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

# Why am I seeing fewer data points than I logged?

When you visualize metrics against an X-axis other than `Step`, expect to see fewer data points. You must log metrics at the same `Step` to keep them synchronized. W\&B only samples metrics logged at the same `Step` when it interpolates between samples.

## Log related metrics together

To keep related metrics aligned on the same `Step`, bundle them into a single `log()` call. For example, instead of:

```python theme={null}
import wandb
with wandb.init() as run:
    run.log({"Precision": precision})
    ...
    run.log({"Recall": recall})
```

Use a single call:

```python theme={null}
import wandb
with wandb.init() as run:
    run.log({"Precision": precision, "Recall": recall})
```

To manually control the `step` parameter, synchronize metrics in the code:

```python theme={null}
with wandb.init() as run:
    step = 100  # Example step value
    # Log Precision and Recall at the same step
    run.log({"Precision": precision, "Recall": recall}, step=step)
```

Make sure the `step` value remains the same in both `log()` calls so that the metrics log under the same `step` and sample together. The `step` value must increase monotonically in each call. Otherwise, W\&B ignores the `step` value.

***

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