liveBook · Manning

New build

As explained in The Well-Grounded Data Analyst

A new build is a property newly constructed at or near the time of its recorded purchase.

A new build is a property newly built at the time of purchase. In property transaction data, it distinguishes recently constructed homes from existing properties. section 10.4.1

The distinction appears as coded categorical data: Y indicates a new build and N indicates an existing property. Recoding these values makes charts and analysis easier to interpret. section 10.4.1

Recoding transaction data

Map the old_new column from Y/N codes to New build/Existing property labels, then count each category to check whether most transactions involve already-built homes. section 10.4.1

price_paid["old_new"] = (
    price_paid["old_new"]
    .map(
        {
            "Y": "New build",
            "N": "Existing property"
        }
    )
)
price_paid["old_new"].value_counts()

Inspect the pandas mapping that converts Y and N into readable property-status labels and counts the resulting categories. section 10.4.1

How The Well-Grounded Data Analyst covers it

How deep it goes
Defines the purchase-time distinction and demonstrates categorical recoding, but does not examine construction details or later outcomes.
Examples
Uses Y and N category codes, mapped to New build and Existing property, then counts each group.
What it assumes
Assumes tabular property records and coded categories; teaches the purchase-time interpretation of new-build status.
What you can do after
Apply it via pandas to recode the old_new field and inspect the distribution of new and existing properties.
How it connects
Connects new build with property type, sale price, sale date, and existing property.

This explainer was generated by Manning's knowledge graph from the text of The Well-Grounded Data Analyst. The section links point to the parts of the book it draws on.