- san franciscoare temperatures in san francisco more like temperatures in sitka or temperatures in death valleygenerate high-low temperature plot for san francisco and make comparison (you can download weather data for almost any location from enter location and date rangescroll to the bottom of the pageand find link labeled comma-delimited file right-click this linkand save the data as csv file - sitka-death valley comparisonthe temperature scales on the sitka and death valley graphs reflect the different ranges of the data to accurately compare the temperature range in sitka to that of death valleyyou need identical scales on the -axis change the settings for the -axis on one or both of the charts in figures - and - and make direct comparison between temperature ranges in sitka and death valley (or any two places you want to compareyou can also try plotting the two data sets on the same chart - rainfallchoose any location you're interested inand make visualization that plots its rainfall start by focusing on one month' dataand then once your code is workingrun it for full year' data - exploregenerate few more visualizations that examine any other weather aspect you're interested in for any locations you're curious about mapping global data setsjson format in this sectionyou'll download location-based country data in the json format and work with it using the json module using pygal' beginnerfriendly mapping tool for country-based datayou'll create visualizations of this data that explore global patterns concerning the world' population distribution over different countries downloading world population data copy the file population_data jsonwhich contains population data from through for most of the world' countriesto the folder where you're storing this programs this data comes from one of the many data sets that the open knowledge foundation (makes freely available