1. Load the country to region mapping to the hash-table "%region" which uses the country
    names (as defined by PingER) as the index.
    e.g. $region{'Kenya'} = Africa and
           $region{'Korea, Rep'} = East Asia.

 
2. Load the PingER data to the data structure "%data" which uses PingER metrics as the index.

    Here each entry stores a reference to a unique hash-table defined to store the PingER data
    related to a country. Understandably the second hash-table uses country names as the index.
    Each entry of the hash-table stores a reference to another hash-table used for storing
    performance measurements for the country. Here timestamps are used as indices.
    e.g. $data{'minrtt'}->{'Kenya'}->{'1998'},
           $data{'packetloss'}->{'United States'}->{'Oct2008'} and
           $data{'ipdv'}->{'Pakistan'}->{'08Oct27'}
    The metrics used are: minrtt, avgrtt, nthroughput, ipdv, packetloss and unreachability.
 
3. Load the demographics to the data structure "%data" which uses labels as the index.
    Here each entry stores a reference to a unique hash-table defined to store the demographics
    of a country. The second hash-table uses country names as the index. Each entry of
    the hash-table stores a reference to another hash-table used for storing statistics
    for the country. Here timestamps are used as indices.
    e.g. $data{'population'}->{'Kenya'}->{'1998'},
           $data{'doi'}->{'United States'}->{'Oct2008'} and
           $data{'inetpenetration'}->{'Pakistan'}->{'08Oct27'}

    The metrics used are: population, inetusers, inetpenetration, doi and hdi.

 
4. Generate the .html file in compliance with the Google Visualization API constraints.
    Here the data is loaded in the following format:
              data.addColumn('string', 'Country');
              data.addColumn('date', 'Month');
              data.addColumn('string', 'Region');
              data.addColumn('number', 'Average RTT (ms)');
              data.addColumn('number', 'Normalized Throughput (Kbps)');
              data.addColumn('number', 'Internet Users (#)');
              data.addColumn('number', 'Internet Penetration (%)');
              data.addColumn('number', 'Population (#)');
              data.addColumn('number', 'Minimum RTT (ms)');
              data.addColumn('number', 'Packet Loss (%)');
              data.addColumn('number', 'Unreachability (%)');
              data.addColumn('number', 'Jitter (ms)');
              data.addColumn('number', 'DOI Index');
              data.addColumn('number', 'HDI Index');
 
    N.B. the data must be uploaded in a chronologically ascending order.
 
5. Create .html files for each vantage point (SLAC, CERN and ICTP)