# coding: utf-8   # ## Section 5 Homework - Fill in the Blanks   # Import the packages needed to perform the analysis     import _ as pd import _ as np import _ as plt import _ as sns       # Load the data provided for the exercise     # Import the csv dataset data = _("P4-Demographic-Data.csv")     # Explore the data         # Visualize the dataframe data       # Rename the column names data._ = ['CountryName', 'CountryCode', 'BirthRate', 'InternetUsers', 'IncomeGroup']       # Check top 6 rows data._(6)       # Check bottom 7 rows data._(7)       # Check the structure of the data frame data._()     # Check the summary of the data data._()     # ### Request 1 # You are employed as a Data Scientist by the World Bank and you are working on a project to analyse the World’s demographic trends. #  # You are required to produce a scatterplot illustrating Birth Rate and Internet Usage statistics by Country. #  # The scatterplot needs to also be categorised by Countries’ Income Groups.      # Plot the BirthRate versus Internet Users categorized by Income Group vis1 = sns._( data = data, x = '_', y = '_', fit_reg = False, hue = '_', size = 10 )         #request 2  #find the counties that have internt users between 20 and 80   newdf = data[(_._>20) & ( _.Internetusers <40 )]     # Plot the BirthRate versus Internet Users categorized by Income Group on newdf frame  vis2 = sns._( data = newdf, x = '_', y = '_', fit_reg = False, hue = '_', size = 10 )