title = "Historical Cost Data and Benchmarking"

content = """
Historical project data improves estimate accuracy. Capture actual costs, compare to
estimates, and use outcomes to calibrate future bids.

**Data Capture:** Record final costs by category (materials, labor, subs) for completed
projects. Include project size, scope, and location. Normalize to comparable units ($/sf, $/lf).

**Variance Analysis:** Compare estimated vs. actual. Identify systematic over- or
under-estimation by trade or project type. Adjust future norms accordingly.

**Benchmarking:** Compare unit costs to industry references and peer data. Outliers may
indicate unique conditions or estimation error. Investigate before discarding.

**Maintenance:** Update the cost database regularly. Purge obsolete data. Document
inflation or market events that affect applicability.
"""  # noqa: E501

version = "0.0.1"
