families is a data frame consisting of records about families, including their number of children and their income (on a scale of 0 – 9). What expression returns a DataFrame containing all records where the family has more than 2 children and all records where the family’s income is above 7?

Consider: 0 not in [n % i for i in range(2,n)] This expression…

Consider: x[~np.isnan(x)] This expression demonstrates what concept we learned in class?

Given: a = np.loadtxt(filename, delimiter=”,”) How does NumPy determine the data type of the array a?

What method can you call to get basic statistics (count, mean, median, std, etc) after grouping a DataFrame?

The pandas DataFrame candidates has, among other columns, the name of applicants for a job opening and a logical (or Boolean) column named complete which indicates whether or not the candidate’s application is complete. Which expression returns a DataFrame consisting of all candidates with complete applications?

The DataFrame df contains, among other columns, a column representing the salary of each entry in the data. To return a DataFrame sorted by salary, you use: df.sort_values(‘salary’) What is the best way to modify this statement such that the record with the highest salary appears first in the output?

Plaintiffs who sue under Section 1981 of the Civil Rights Act of 1866 are NOT subject to the same damage award caps as plaintiffs who sue under Title 7 of the Civil Rights Act of 1964.

The case study dealing with Bernard Ebbers shows that white collar criminals such as Mr. Ebbers can steal enormous sums of money through devious means, but garner very little time in jail even after they have been caught and convicted.

Another name for a transnational corporation is