WHERE (Basic Queries)

A population biologist (Dr. Undomiel) who studies the population dynamics of Dipodomys spectabilis would like to use some data from the Portal Project, but she doesn’t know how to work with large datasets. Being the kind and benevolent person that you are, write a query to extract the data that she needs. She wants only the data for her species of interest (DS in the species_id column), when each individual was trapped, and what sex it was. She doesn’t care about the plot the individual was trapped on or the size of the individuals. She also doesn’t need the species codes because you’re only providing her with the data for one species, and since she isn’t looking at the database itself the two character abbreviation would probably be confusing. Save this query as a view with the name spectabilis_population_data.

Scrolling through the results of your query you notice that the data on sex is missing for some species. You send Dr. Undomiel a short e-mail* asking what she would like you to do regarding this complexity. Dr. Undomiel asks that you create two additional queries so that she can decided what to do about this issue later. Add a query that retrieves the same data as above, but only for cases where the sex is known to be male, and an additional query with the same data, but only where the sex is known to be female. Save these as views with the names spectabilis_population_data_males and spectabilis_population_data_females.

*Short for elven-mail

Expected outputs for WHERE: 1 2 3