You are working in a multi-national agency which aims to improve marketing campaign results for its customers. Your team received a large data set (assume 2000 columns and 500 million rows) from one customer. However, the agency's current data processing capacity is not sufficient to train machine learning models on the entire data set. As a data scientist or machine learning engineer, what steps can you take to analyze the data and produce statistical insights from it

Yael decides that she no longer enjoys her job, and she quits to open a gluten-free, dairy-free kosher bakery. she pays a monthly rent for her store of $2,000. her labor costs for one month are $4,500, and she spends $6,000 a month on nut flours, sugar, and other supplies. yael was earning $2,500 a month working as a bank teller. these are her only costs. her monthly revenue is $14,000. which of the following statements about yael’s costs and profit are correct? correct answer(s) an accountant would say she is earning a monthly profit of $1,500. her implicit costs are $2,500 a month. an economist would tell her that she is experiencing a loss. her total costs are $12,500 a month. her explicit costs include the labor, rent, and supplies for her store. her economic profit is $1,500 a month.