The scenario describes insufficient data in terms of geographical coverage. The data analyst only had relevant data from half of the country, so they needed to generate new data to represent the entire nation.
This means that the dataset was incomplete and lacked the necessary information to analyze the national supply chain as a whole, The scenario you described represents a type of insufficient data known as "incomplete data" or "missing data.
In this case, the data analyst is working on a project around a national supply chain, but they only have data from about half of the country. To address this issue, they decide to generate new data that represents the entire nation. This process is often done using data imputation techniques or by obtaining additional data sources to fill the gaps in the existing dataset.
To know more about "incomplete data"