The first DataFrame must be called features, which is your feature matrix. The features DataFrame must contain
Question:
The first DataFrame must be called features, which is your feature matrix. The features DataFrame must contain the following feature columns in this exact order: days_cube, days_sq, days, temp, pop_dense_sq, pop_dense, pop. These features correspond to the features present in the equation above.
● days_cube and days_sq are the cubed and squared values of days, respectively.
● days is the number of days since the outbreak began in the respective capital city, which always begins with zero and adds 1 day for each row of recorded data for each capital city. There are 27 capital cities in Brazil. Each capital city has 151 days of recorded data.
● pop_dense_sq is the squared value of pop_dense
● pop is the city population
● Population density is defined as the population of a city divided by the area in kilometers squared of the city.
The second DataFrame contains target values and must be called a response, which is the accumulated case counts column for the capital cities.
Your task is to construct these two Pandas DataFrames using the data provided.
(source file: https://github.com/jenhernandez2099/BrazilCOVIDData)