In Python create a code that generates a new data set, with the following information: $($There is a csv file that it is referring to so it is not all random$)$

The number of rows should be the same as the number of CEOs that became a CEO until $2004.$The information in each row should include the age when a CEO became a CEO, whether the CEO is male or not, whether the CEO$$s tenure is at least $5$ years or not, and the annual return during the first year of the CEO$$s tenure. For this new data set, run a logistic regression with the variable whether a CEO$$s tenure is at least $5$ years or not, and explanatory variables the CEO$$s age when she $($or he$)$ became a CEO, whether the CEO is male or not, and the annual return during the first year of a CEO$$s tenure.