Читать книгу Becoming a Data Head - Alex J. Gutman - Страница 49

Data is studied in many different fields, each with their own lingo, which is why there are many names for the same things. Some data workers, when talking about the columns in a dataset, might prefer “features” while others say “variables” or “predictors.” Part of being a Data Head is being able to navigate conversations within these groups and their preferences.

A data point is the intersection of an observation and a feature. For example, 150 units sold on 2021-02-01 is a data point.

TABLE 2.1 Example Dataset on Advertisement Spending and Revenue

Date	Ad Spending	Units Sold	Profit	Location
2021-01-01	2000	100	10452	Print
2021-02-01	1000	150	15349	Online
2021-03-01	3000	200	25095	Television
2021-04-01	1000	175	12443	Online

Table 2.1 has a header (a piece of non-numerical data) that helps us understand what each feature means. Note that not every dataset will have a header row. In such cases, the header row is implied, and the person working in the dataset must know what each feature means.