static void Main(string[] args)
{
LifeExpectancyAnalyzer analyzer = new LifeExpectancyAnalyzer("worldbank_life_expectancy_data.txt", "worldbank_life_expectancy_metadata.txt");
analyzer.ConsumeData();
string answer = prompt("Synopsis [0] or ranking [1] or growth [2] or drop [3] or plot [4] or plot_country [5]? ");
switch (answer)
{
case "0":
synopsis(analyzer);
break;
case "1":
ranking(analyzer);
break;
case "2":
growth(analyzer);
break;
case "3":
drop(analyzer);
break;
case "4":
plot(analyzer);
break;
case "5":
plot_country(analyzer);
break;
}
}
static void plot_country(LifeExpectancyAnalyzer analyzer)
{
while (true)
{
Dictionary <string, Dictionary <int, double> > curves = new Dictionary <string, Dictionary <int, double> >();
string entities_str = prompt("Enter entity name(s) or code(s) to plot (separated by commas, 'all' for every entity): ").Replace(", ", ",");
if (entities_str.Trim() == "all")
{
foreach (KeyValuePair <string, Entity> kvp in analyzer.Entities)
{
curves.Add(kvp.Value.Country_Name, kvp.Value.LifeExpectancyByYear);
}
}
else
{
l("rawstr(", entities_str, ")");
string[] entities = entities_str.Split(",", StringSplitOptions.RemoveEmptyEntries);
l("Entities to plot: ", String.Join(":", entities));
Dictionary <string, Entity> results = analyzer.Entities.Where(val => entities.Contains(val.Key) || entities.Contains(val.Value.Country_Name)).ToDictionary(p => p.Key, p => p.Value);
if (results.Count < 1)
{
l("No such entities found");
continue;
}
foreach (string entity in entities)
{
curves.Add(entity, results.Where(val => val.Key == entity || val.Value.Country_Name == entity).First().Value.LifeExpectancyByYear);
}
}
generate_plot("country_plots", curves);
}
}
static void drop(LifeExpectancyAnalyzer analyzer)
{
DateTime start = DateTime.Now;
Dictionary <string, Entity> filtered_by_insufficient_data =
analyzer.Countries_Slash_Territories.Where(p => p.Value.BiggestLifeExpectancyDrop != null).ToDictionary(p => p.Key, p => p.Value);
List <Entity> sorted_worst_expectancy_drop =
filtered_by_insufficient_data
.OrderBy(
p => p.Value.BiggestLifeExpectancyDrop.Last().Value
).ToDictionary(p => p.Key, p => p.Value).Values.ToList();
l("Took: ", (DateTime.Now - start).TotalSeconds, " seconds");
l("Worst life expectancy drops: 1960 to 2015");
for (int i = 0; i < 10; i++)
{
l(
i + 1,
": ",
sorted_worst_expectancy_drop[i].Country_Name,
" from ",
sorted_worst_expectancy_drop[i].BiggestLifeExpectancyDrop.ElementAt(0).Key,
" (",
sorted_worst_expectancy_drop[i].BiggestLifeExpectancyDrop.ElementAt(0).Value,
") to ",
sorted_worst_expectancy_drop[i].BiggestLifeExpectancyDrop.ElementAt(1).Key,
" (",
sorted_worst_expectancy_drop[i].BiggestLifeExpectancyDrop.ElementAt(1).Value,
"): ",
sorted_worst_expectancy_drop[i].BiggestLifeExpectancyDrop.ElementAt(1).Value - sorted_worst_expectancy_drop[i].BiggestLifeExpectancyDrop.ElementAt(0).Value
);
}
}
static void plot(LifeExpectancyAnalyzer analyzer)
{
// Income categories
Dictionary <string, Dictionary <int, double> > income_curves = new Dictionary <string, Dictionary <int, double> >();
foreach (string income_group in analyzer.Income_Groups)
{
Dictionary <int, double> data = new Dictionary <int, double>();
List <Dictionary <int, double> > country_expectancies = analyzer.Countries_Slash_Territories
.Where(p => p.Value.Income_group == income_group)
.ToDictionary(p => p.Key, p => p.Value).Values.ToList().Select(p => p.LifeExpectancyByYear).ToList();
for (int i = 1960; i < 2015 + 1; i++)
{
List <double> year_country_expectancy_data = new List <double>();
foreach (Dictionary <int, double> country_expectancy_set in country_expectancies)
{
if (country_expectancy_set.ContainsKey(i))
{
year_country_expectancy_data.Add(country_expectancy_set[i]);
}
}
year_country_expectancy_data = year_country_expectancy_data.OrderBy(p => p).ToList();
data.Add(i, year_country_expectancy_data.Median());
}
income_curves.Add(income_group, data);
}
generate_plot("income", income_curves);
// Regions
Dictionary <string, Dictionary <int, double> > region_curves = new Dictionary <string, Dictionary <int, double> >();
foreach (string region in analyzer.Regions)
{
Dictionary <int, double> data = new Dictionary <int, double>();
List <Dictionary <int, double> > country_expectancies = analyzer.Countries_Slash_Territories
.Where(p => p.Value.Region == region)
.ToDictionary(p => p.Key, p => p.Value).Values.ToList().Select(p => p.LifeExpectancyByYear).ToList();
for (int i = 1960; i < 2015 + 1; i++)
{
List <double> year_country_expectancy_data = new List <double>();
foreach (Dictionary <int, double> country_expectancy_set in country_expectancies)
{
if (country_expectancy_set.ContainsKey(i))
{
year_country_expectancy_data.Add(country_expectancy_set[i]);
}
}
year_country_expectancy_data = year_country_expectancy_data.OrderBy(p => p).ToList();
data.Add(i, year_country_expectancy_data.Median());
}
region_curves.Add(region, data);
}
generate_plot("region", region_curves);
}
static void synopsis(LifeExpectancyAnalyzer analyzer)
{
l("Total number of entities: ", analyzer.Entities.Count);
l("Number of countries/territories: ", analyzer.Countries_Slash_Territories.Count);
l();
l("Regions and their country count:");
foreach (string region in analyzer.Regions)
{
l(region, ": ", analyzer.Entities_By_Region(region).Count);
}
l();
l("Income categories and their country count:");
foreach (string income_group in analyzer.Income_Groups)
{
l(income_group, ": ", analyzer.Entities_By_Income_Group(income_group).Count);
}
l();
while (true)
{
string user_input_region_name = prompt("Enter region name: ");
if (analyzer.Regions.Contains(user_input_region_name))
{
l("Countries in the '", user_input_region_name, "' region: ");
foreach (KeyValuePair <string, Entity> kvp in analyzer.Entities_By_Region(user_input_region_name))
{
l(kvp.Value.Country_Name, " (", kvp.Value.Country_Code, ")");
}
break;
}
else
{
l("Unknown region name, the available options are: ", String.Join(", ", analyzer.Regions));
}
}
l();
while (true)
{
string user_input_income_category = prompt("Enter income category: ");
if (analyzer.Income_Groups.Contains(user_input_income_category))
{
l("Countries in the '", user_input_income_category, "' income category: ");
foreach (KeyValuePair <string, Entity> kvp in analyzer.Entities_By_Income_Group(user_input_income_category))
{
l(kvp.Value.Country_Name, " (", kvp.Value.Country_Code, ")");
}
break;
}
else
{
l("Unknown income category, the available options are: ", String.Join(", ", analyzer.Income_Groups));
}
}
l();
while (true)
{
string user_input_country_or_country_code = prompt("Enter name of country or country code (Enter to quit): ");
if (user_input_country_or_country_code == "")
{
break;
}
Dictionary <string, Entity> results = analyzer.Entities.Where(val => val.Value.Country_Code == user_input_country_or_country_code || val.Value.Country_Name == user_input_country_or_country_code).ToDictionary(p => p.Key, p => p.Value);
if (results.Count > 0)
{
l("Data for ", user_input_country_or_country_code, ":");
foreach (KeyValuePair <int, double> kvp in results.First().Value.LifeExpectancyByYear)
{
l("Year: ", kvp.Key, " Life expectancy: ", kvp.Value);
}
}
else
{
l("Unknown country/country code, available options are: ", String.Join(", ", Array.ConvertAll <Entity, string>(analyzer.Entities.Values.ToArray(), Convert.ToString)));
}
}
}
static void ranking(LifeExpectancyAnalyzer analyzer)
{
while (true)
{
string str_year_of_interest = prompt("Enter year of interest (-1 to quit): ");
int year_of_interest;
if (!int.TryParse(str_year_of_interest, out year_of_interest))
{
l("Error parsing year of interest, integers only please!");
continue;
}
if (year_of_interest == -1)
{
break;
}
string user_input_region_name = prompt("Enter region (type 'all' to consider all): ");
if (user_input_region_name != "all" && !analyzer.Regions.Contains(user_input_region_name))
{
l("No such region!");
continue;
}
string user_input_income_category = prompt("Enter income category (type 'all' to consider all): ");
if (user_input_income_category != "all" && !analyzer.Income_Groups.Contains(user_input_income_category))
{
l("No such income category!");
continue;
}
Dictionary <string, Entity> countries_filtered_by_region =
(user_input_region_name == "all" ?
analyzer.Entities :
analyzer.Entities_By_Region(user_input_region_name));
Dictionary <string, Entity> countries_filtered_by_income_category =
(user_input_income_category == "all" ?
countries_filtered_by_region :
countries_filtered_by_region.Intersect(
analyzer.Entities_By_Income_Group(user_input_income_category)
).ToDictionary(k => k.Key, k => countries_filtered_by_region[k.Key]));
Dictionary <string, Entity> countries_filtered_by_has_data = countries_filtered_by_income_category.Where(p => p.Value.LifeExpectancyByYear.ContainsKey(year_of_interest)).ToDictionary(p => p.Key, p => p.Value);
Dictionary <string, Entity> sorted_countries_dict = countries_filtered_by_has_data.OrderByDescending(
p => p.Value.LifeExpectancyByYear[year_of_interest]
).ToDictionary(p => p.Key, p => p.Value);
List <Entity> sorted_countries = sorted_countries_dict.Values.ToList();
l("Top 10 Life Expectancy for ", year_of_interest);
for (int i = 0; i < (sorted_countries.Count >= 10 ? 10 : sorted_countries.Count); i++)
{
l(i + 1, ": ", sorted_countries[i].Country_Name, " ", sorted_countries[i].LifeExpectancyByYear[year_of_interest]);
}
l();
l("Bottom 10 Life Expectancy for ", year_of_interest);
for (int i = sorted_countries.Count - 1; i > (sorted_countries.Count - 1) - (sorted_countries.Count >= 10 ? 10 : sorted_countries.Count); i--)
{
l(i + 1, ": ", sorted_countries[i].Country_Name, " ", sorted_countries[i].LifeExpectancyByYear[year_of_interest]);
}
}
}
