Only conclusions left

Miguel Tuñón
1 parent 79d24d2f
Showing 89 changed files with 1002 additions and 653 deletions
ISO27001effectiveness/NAMESPACE
ISO27001effectiveness/R/ReportGraphs.R
ISO27001effectiveness/Report.Rmd
ISO27001effectiveness/Report.html
ISO27001effectiveness/Report_cache/html/unnamed-chunk-10_17b6bd20fff5afd30e114864f634b0a1.rdb
ISO27001effectiveness/Report_cache/html/unnamed-chunk-10_17b6bd20fff5afd30e114864f634b0a1.rdx
ISO27001effectiveness/Report_cache/html/unnamed-chunk-10_17b6bd20fff5afd30e114864f634b0a1.RData → ISO27001effectiveness/Report_cache/html/unnamed-chunk-10_a4aed665aff5caed61c6b06c173a37e8.RData
ISO27001effectiveness/Report_cache/html/unnamed-chunk-10_a4aed665aff5caed61c6b06c173a37e8.rdb
ISO27001effectiveness/Report_cache/html/unnamed-chunk-10_a4aed665aff5caed61c6b06c173a37e8.rdx
ISO27001effectiveness/Report_cache/html/unnamed-chunk-11_35c42ea5a3589f64604aabd4751df60e.rdb
ISO27001effectiveness/Report_cache/html/unnamed-chunk-11_35c42ea5a3589f64604aabd4751df60e.rdx
ISO27001effectiveness/Report_cache/html/unnamed-chunk-11_35c42ea5a3589f64604aabd4751df60e.RData → ISO27001effectiveness/Report_cache/html/unnamed-chunk-11_9775b78543b14832841a31d5a0691603.RData
ISO27001effectiveness/Report_cache/html/unnamed-chunk-11_9775b78543b14832841a31d5a0691603.rdb
ISO27001effectiveness/Report_cache/html/unnamed-chunk-11_9775b78543b14832841a31d5a0691603.rdx
ISO27001effectiveness/Report_cache/html/unnamed-chunk-12_119d22b1a0bc34c6e19d852c49915933.rdb
ISO27001effectiveness/Report_cache/html/unnamed-chunk-12_119d22b1a0bc34c6e19d852c49915933.rdx
ISO27001effectiveness/Report_cache/html/unnamed-chunk-12_119d22b1a0bc34c6e19d852c49915933.RData → ISO27001effectiveness/Report_cache/html/unnamed-chunk-12_44a55aa068c5d953c8557125f3c3a864.RData
ISO27001effectiveness/Report_cache/html/unnamed-chunk-12_44a55aa068c5d953c8557125f3c3a864.rdb
ISO27001effectiveness/Report_cache/html/unnamed-chunk-12_44a55aa068c5d953c8557125f3c3a864.rdx
ISO27001effectiveness/Report_cache/html/unnamed-chunk-13_06ad67a944d14cc019066879ed2240a5.rdb
 # Generated by roxygen2: do not edit by hand
+export(GetAttackTypeEvolution)
+export(GetAttackTypePie)
+export(GetAttackTypeSigleEvolution)
+export(GetAttacksEvolution)
+export(GetAttacksMonthEvolution)
+export(GetCertsEvolution)
+export(GetContinentAttackCol)
+export(GetContinentAttacksEvolution)
+export(GetContinentAttacksSigleEvolution)
+export(GetContinentCertsEvolution)
+export(GetContinentCertsSingleEvolution)
+export(GetContinentPie)
+export(GetCountriesAttacksSingleEvolution)
+export(GetCountriesCertsSingleEvolution)
 export(GetDefaultAttacksData)
 export(GetISOSurveyCertsPerCountry)
 export(GetISOSurveyCertsPerSector)
 export(GetISOSurveySitesPerCountry)
-export(GetReportGraphs)
 export(ParseHMExcel)
 export(ParseHMFolder)
 export(ProccesISOSurveyByCountryRaw)
@@ -301,6 +301,17 @@ GetAttackTypeSigleEvolution &lt;- function(Attacks,
 #-------------------------Geolocal evolution---------
 #----------------------------------------------------------------
+#' Return pie graph to show % of attacks and certifications for each continent
+#'
+#' @param Attacks data.frame with procesed source data of attacks
+#' @param Attacks.label.vjust Vector of vertical just to each portion label
+#' @param Attacks.label.hjust Vector of horizontal just to each portion label
+#' @param Cert_PerCountry data.frame with procesed source data of certifications
+#' @param Certs.label.vjust Vector of vertical just to each portion label
+#' @param Certs.label.hjust Vector of horizontal just to each portion label
+#'
+#' @return list(AttacksGraph, CertsGraph, ContinentListToStudy)
+#' @export
 GetContinentPie <- function (Attacks,
                              Attacks.label.vjust = 0,
                              Attacks.label.hjust = 0,
@@ -362,19 +373,33 @@ GetContinentPie &lt;- function (Attacks,
                   axis.title.y=element_blank()) +
             ggtitle("ISO 27001")
-  list(graph1, unique(attack.pie[attack.pie$perc > 5,]$Continent),
-       graph2, unique(cert.pie[cert.pie$perc > 5,]$Continent))
+  #Return graphs and union of continent to study
+  list(graph1, graph2,
+       union(unique(attack.pie[attack.pie$perc > 5,]$Continent),
+            unique(cert.pie[cert.pie$perc > 5,]$Continent)))
 }
-GetContinentAttacksEvolution <- function(Attacks){
-  attacks.evol <- mutate(Attacks, Year = format(Attacks$Date, "%Y")) %>% group_by(Continent, Year)
+#' Return graph to show the evolution of a attack types list
+#'
+#' @param Attacks data.frame with procesed source data
+#' @param ContinentList List with continents to show
+#'
+#' @return list(graph, data.frame with ContinentList attacks data by year)
+#' @export
+GetContinentAttacksEvolution <- function(Attacks,
+                                         ContinentList){
+
+  #Extract year from date
+  attacks.evol <- mutate(Attacks, Year = format(Attacks$Date, "%Y")) %>%
+                group_by(Continent, Year) #Grouping atacks by continent and year
+  #Counting attacks for each continent and year
   attacks.evol <- as.data.frame(table(attacks.evol$Continent, attacks.evol$Year))
   colnames(attacks.evol) <- c("Continent", "Year","Attacks")
+  #Filtering by the ContinentList especified
+  attacks.evol <- attacks.evol[attacks.evol$Continent %in% ContinentList,]
-  attacks.evol <- attacks.evol[attacks.evol$Continent != "Oceania",]
-  attacks.evol <- attacks.evol[attacks.evol$Continent != "Africa",]
-
+  #Graph
   graph1 <- ggplot2::qplot(main = "Cyberattacks evolution",
                            x = attacks.evol$Year,
                            y = attacks.evol$Attacks,
@@ -384,26 +409,34 @@ GetContinentAttacksEvolution &lt;- function(Attacks){
                            data = attacks.evol,
                            geom = "point",
                            color = Continent)  +
-    geom_line() +
-    theme(plot.title = element_text(hjust = 0.5))
+            geom_line() +
+            theme(plot.title = element_text(hjust = 0.5))
-  graph1
+  #Return graph and data to represent 1b1
+  list(graph1, attacks.evol)
 }
-GetContinentCertsEvolution <- function(Cert_PerCountry){
-
-  certs.evol <- gather(Cert_PerCountry, "Year", "Certs", 2:6) %>% group_by(Continent, Year)
-
-  certs.evol <- summarise(certs.evol,
-                          #Continent = Continent,
-                          #Year = Year,
-                          Certs = sum(Certs))
+#' Return graph to show the evolution of certifications in a continent list
+#'
+#' @param Cert_PerCountry data.frame with procesed source data
+#' @param ContinentList List with continents to show
+#'
+#' @return list(graph, data.frame with ContinentList certifications data by year)
+#' @export
+GetContinentCertsEvolution <- function(Cert_PerCountry,
+                                       ContinentList){
+  #Collapsing year columns to 1 column with year value
+  certs.evol <- gather(Cert_PerCountry, "Year", "Certs", 2:6) %>%
+              group_by(Continent, Year) #Grouping by continent and year
+  #Sum of certifications for echa continent and year
+  certs.evol <- summarise(certs.evol, Certs = sum(Certs))
+  #Removing the X from year values
   certs.evol$Year <- substr(certs.evol$Year,2,5)
+  #Filtering for the specified continents
+  certs.evol <- certs.evol[certs.evol$Continent %in% ContinentList,]
-  certs.evol <- certs.evol[certs.evol$Continent != "Oceania",]
-  certs.evol <- certs.evol[certs.evol$Continent != "Africa",]
-
+  #graph
   graph1 <- ggplot2::qplot(main = "ISO 27001 evolution",
                            x = certs.evol$Year,
                            y = certs.evol$Certs,
@@ -413,268 +446,261 @@ GetContinentCertsEvolution &lt;- function(Cert_PerCountry){
                            data = certs.evol,
                            geom = "point",
                            color = Continent)  +
-    geom_line() +
-    theme(plot.title = element_text(hjust = 0.5))
+            geom_line() +
+            theme(plot.title = element_text(hjust = 0.5))
-  graph1
+  #Return the graph and data to represent continents 1b1
+  list(graph1, certs.evol)
 }
+#' Return graph to show the evolution of attacks in a single continent and his smooth
+#'
+#' @param Attacks data.frame with procesed source data
+#' @param Continent Continent to represent
+#' @param smooth.x Horizontal position to smooth slope label
+#' @param smooth.y Vertical position to smooth slope label
+#' @param smooth.label.hjust Horizontal just to smooth slope label
+#'
+#' @return list(graph, slope)
+#' @export
+GetContinentAttacksSigleEvolution <- function(Attacks,
+                                            Continent,
+                                            smooth.x = 0,
+                                            smooth.y = 0,
+                                            smooth.label.hjust = 0){
-GetContinentAttacksTopEvolution <- function(Attacks){
-  attacks.evol <- mutate(Attacks, Year = format(Attacks$Date, "%Y")) %>% group_by(Year, Continent)
-  attacks.evol <- as.data.frame(table(attacks.evol$Year, attacks.evol$Continent))
-  attacks.evol <- setNames(attacks.evol, c("Year", "Continent", "Count"))
-  attacks.evol <- attacks.evol[attacks.evol$Continent != "",]
-
-  attacks.evol <- spread(attacks.evol, "Continent", "Count")
+  #Filtering for the continent specified
+  attacks.evol <- Attacks[Attacks$Continent == Continent,]
+  #Calc slope
+  slope1 <- lm(formula = Attacks ~ as.numeric(Year), data = attacks.evol)$coef[[2]]
+  #Graph
   graph1 <- ggplot(data = attacks.evol,
-                   aes(x = Year, y = Americas, group = 1)) +
-
-    geom_line() +
-    geom_point() +
-
-    theme(plot.title = element_text(hjust = 0.5)) +
-    ggtitle("Americas") +
-    xlab("Years") + ylab("Attacks")+
-    stat_smooth(method = "lm", se = FALSE, aes(outfit=fit<<-..y..))
-
-  graph2 <- ggplot(data = attacks.evol,
-                   aes(x = Year, y = Asia, group = 1)) +
-
-    geom_line() +
-    geom_point() +
-
-    theme(plot.title = element_text(hjust = 0.5)) +
-    ggtitle("Asia") +
-    xlab("Years") + ylab("Attacks")+
-    stat_smooth(method = "lm", se = FALSE, aes(outfit=fit<<-..y..))
-
-  graph3 <- ggplot(data = attacks.evol,
-                   aes(x = Year, y = Europe, group = 1)) +
-
-    geom_line() +
-    geom_point() +
-
-    theme(plot.title = element_text(hjust = 0.5)) +
-    ggtitle("Europe") +
-    xlab("Years") + ylab("Attacks")+
-    stat_smooth(method = "lm", se = FALSE, aes(outfit=fit<<-..y..))
-
-
-  list(graph1, graph2, graph3)
+                   aes(x = Year, y = Attacks, group = 1)) +
+            geom_line() +
+            geom_point() +
+            theme(plot.title = element_text(hjust = 0.5)) +
+            ggtitle(Continent) +
+            xlab("Years") + ylab("Attacks")+
+            geom_smooth(method = "lm",
+                        se = FALSE) +
+            geom_label(aes(x = smooth.x, y = smooth.y,
+                           label = paste("Slope =", signif(slope1, 5))),
+                       color = "blue",
+                       hjust = smooth.label.hjust)
+  #Returning list(graph, slope)
+  list(graph1, slope1)
 }
+#' Return graph to show the evolution of certifications in a single continent and his smooth
+#'
+#' @param Certs_byContinent data.frame with procesed source data
+#' @param Continent Continent to represent
+#' @param smooth.x Horizontal position to smooth slope label
+#' @param smooth.y Vertical position to smooth slope label
+#' @param smooth.label.hjust Horizontal just to smooth slope label
+#'
+#' @return list(graph, slope)
+#' @export
+GetContinentCertsSingleEvolution <- function(Certs_byContinent,
+                                             Continent,
+                                             smooth.x = 0,
+                                             smooth.y = 0,
+                                             smooth.label.hjust = 0){
-GetContinentCertsTopEvolution <- function(Attacks){
-
-  certs.evol <- gather(Cert_PerCountry, "Year", "Certs", 2:6) %>% group_by(Continent, Year)
-
-  certs.evol <- summarise(certs.evol,
-                          #Continent = Continent,
-                          #Year = Year,
-                          Certs = sum(Certs))
-  certs.evol$Year <- substr(certs.evol$Year,2,5)
-
-  certs.evol <- spread(certs.evol, "Continent", "Certs")
+  #Filtering for the continent specified
+  certs.evol <- Certs_byContinent[Certs_byContinent$Continent == Continent,]
+  #Calc slope
+  slope1 <- lm(formula = Certs ~ as.numeric(Year), data = certs.evol)$coef[[2]]
+  #Graph
   graph1 <- ggplot(data = certs.evol,
-                   aes(x = Year, y = Americas, group = 1)) +
-
-    geom_line() +
-    geom_point() +
-
-    theme(plot.title = element_text(hjust = 0.5)) +
-    ggtitle("Americas") +
-    xlab("Years") + ylab("Certifications")+
-    stat_smooth(method = "lm", se = FALSE, aes(outfit=fit<<-..y..))
-
-  graph2 <- ggplot(data = certs.evol,
-                   aes(x = Year, y = Asia, group = 1)) +
-
-    geom_line() +
-    geom_point() +
-
-    theme(plot.title = element_text(hjust = 0.5)) +
-    ggtitle("Asia") +
-    xlab("Years") + ylab("Certifications")+
-    stat_smooth(method = "lm", se = FALSE, aes(outfit=fit<<-..y..))
-
-  graph3 <- ggplot(data = certs.evol,
-                   aes(x = Year, y = Europe, group = 1)) +
-
-    geom_line() +
-    geom_point() +
-
-    theme(plot.title = element_text(hjust = 0.5)) +
-    ggtitle("Europe") +
-    xlab("Years") + ylab("Certifications")+
-    stat_smooth(method = "lm", se = FALSE, aes(outfit=fit<<-..y..))
-
-
-  list(graph1, graph2, graph3)
+                   aes(x = Year, y = Certs, group = 1)) +
+            geom_line() +
+            geom_point() +
+            theme(plot.title = element_text(hjust = 0.5)) +
+            ggtitle(Continent) +
+            xlab("Years") + ylab("Certifications")+
+            geom_smooth(method = "lm",
+                        se = FALSE) +
+            geom_label(aes(x = smooth.x, y = smooth.y,
+                           label = paste("Slope =", signif(slope1, 5))),
+                       color = "blue",
+                       hjust = smooth.label.hjust)
+  #Returning list(graph, slope)
+  list(graph1, slope1)
 }
-GetCountriesCol <- function(Attacks, Cert_PerCountry){
-
-  certs.evol <- gather(Cert_PerCountry, "Year", "Certs", 2:6) %>% group_by(Continent, country_short)
-
-  certs.evol <- summarise(certs.evol,
-                          Certs = sum(Certs))
-
-  graph1 <- ggplot2::ggplot(aes(x = reorder(country_short, Certs),
-                                y = Certs),
-                           data = certs.evol[certs.evol$Certs > (sum(certs.evol$Certs) * 0.02),]) +
-          geom_col(aes(fill = Continent)) +
-          theme(plot.title = element_text(hjust = 0.5)) +
-          ggtitle("ISO 27001") +
-          xlab("Country") + ylab("Certifications")
+#' Return graph to show the attacks by country
+#'
+#' @param Attacks data.frame with procesed source data of attacks
+#' @param Attacks.label.vjust Vector of vertical just to each portion label
+#' @param Attacks.label.hjust Vector of horizontal just to each portion label
+#' @param Cert_PerCountry data.frame with procesed source certifications
+#' @param Certs.label.vjust Vector of vertical just to each portion label
+#' @param Certs.label.hjust Vector of horizontal just to each portion label
+#'
+#' @return list(AttacksGraph, CertsGraph, CountryListToStudy)
+GetCountriesCol <- function(Attacks,
+                            Attacks.label.vjust = 0,
+                            Attacks.label.hjust = 0,
+                            Cert_PerCountry,
+                            Certs.label.vjust = 0,
+                            Certs.label.hjust = 0){
+
+  #Group attacks by continent and country
+  attacks.col <- group_by(Attacks, Continent, Country)
+  #Count attacks for each country
+  attacks.col <- as.data.frame(table(attacks.col$Continent, attacks.col$Country))
+  attacks.col <- setNames(attacks.col, c("Continent", "Country", "Count"))
+  #Remove rows without Continent/Country specified
+  attacks.col <- attacks.col[attacks.col$Country != "",]
+  attacks.col <- attacks.col[attacks.col$Country != "AU",] #Abnormal behaivour, corrupt??
+  attacks.col <- attacks.col[attacks.col$Continent != "",]
+  #Only the countries with more than 2% of total attacks
+  attacks.col <- attacks.col[attacks.col$Count > (sum(attacks.col$Count) * 0.015), ]
+  #Sort by attacks
+  attacks.col <- arrange(attacks.col, desc(Count))
-  attacks.evol <- mutate(Attacks, Year = format(Attacks$Date, "%Y")) %>% group_by(Year, Continent, Country)
-  attacks.evol <- as.data.frame(table(attacks.evol$Year, attacks.evol$Continent, attacks.evol$Country))
-  attacks.evol <- setNames(attacks.evol, c("Year", "Continent", "Country", "Count"))
-  attacks.evol <- attacks.evol[attacks.evol$Continent != "",]
-  attacks.evol <- attacks.evol[attacks.evol$Country != "",]
-  attacks.evol <- attacks.evol[attacks.evol$Country != "AU",]
+  #Attacks graph
+  graph1 <- ggplot2::ggplot(aes(x = reorder(Country, Count),
+                                y = Count),
+                            data = attacks.col) +
+            geom_col(aes(fill = Continent)) +
+            geom_text(aes(label = attacks.col$Count),
+                       vjust = Attacks.label.vjust,
+                       hjust = Attacks.label.hjust,
+                       size = 3) +
+            theme(plot.title = element_text(hjust = 0.5)) +
+            ggtitle("Attacks") +
+            xlab("Country") + ylab("Attacks")
-  attacks.evol <- attacks.evol[attacks.evol$Count > (sum((attacks.evol[attacks.evol$Country != "US",])$Count) * 0.01),]
-  attacks.evol <- arrange(attacks.evol, Count)
+  #Grouping certifications by continent
+  certs.col <- group_by(Cert_PerCountry, Continent, country_short)
+  #Counting certificates for each continent
+  certs.col <- dplyr::summarise(certs.col, Count = sum(X2011 + X2012 + X2013 + X2014 + X2015))
+  #Remove rows without Continent specified
+  certs.col <- certs.col[certs.col$Continent != "",]
+  certs.col <- certs.col[certs.col$country_short != "",]
+  #Only the countries with more than 2% of total certs
+  certs.col <- certs.col[certs.col$Count > (sum(certs.col$Count) * 0.02), ]
+  #Sort by certifications
+  certs.col <- arrange(certs.col, desc(Count))
-  graph2 <- ggplot2::ggplot(aes(x = reorder(Country, Count),
+  #Certifications graph
+  graph2 <- ggplot2::ggplot(aes(x = reorder(country_short, Count),
                                 y = Count),
-                            data = attacks.evol) +
-          geom_col(aes(fill = Continent)) +
-          theme(plot.title = element_text(hjust = 0.5)) +
-          ggtitle("Attacks") +
-          xlab("Country") + ylab("Attacks")
+                            data = certs.col) +
+            geom_col(aes(fill = Continent)) +
+            geom_text(aes(label = certs.col$Count),
+                       vjust = Certs.label.vjust,
+                       hjust = Certs.label.hjust,
+                       size = 3) +
+            theme(plot.title = element_text(hjust = 0.5)) +
+            ggtitle("ISO 27001") +
+            xlab("Country") + ylab("Certifications")
-  list(graph1, graph2)
+  #Return graphs and union of countries to study
+  list(graph1, graph2,
+       union(unique(head(attacks.col$Country, 3)),
+             unique(head(certs.col$country_short, 3))))
   }
-GetCountriesAttacksTopEvolution <- function(Attacks){
-  attacks.evol <- mutate(Attacks, Year = format(Attacks$Date, "%Y")) %>% group_by(Year, Country)
+#' Return graph to show the evolution of attacks in a single continent and his smooth
+#'
+#' @param Attacks data.frame with procesed source data
+#' @param Country Country to represent
+#' @param smooth.x Horizontal position to smooth slope label
+#' @param smooth.y Vertical position to smooth slope label
+#' @param smooth.label.hjust Horizontal just to smooth slope label
+#'
+#' @return list(graph, slope)
+#' @export
+GetCountriesAttacksSingleEvolution <- function(Attacks,
+                                               Country,
+                                               smooth.x = 0,
+                                               smooth.y = 0,
+                                               smooth.label.hjust = 0){
+  #Extract year from date
+  attacks.evol <- mutate(Attacks, Year = format(Attacks$Date, "%Y")) %>%
+                group_by(Year, Country) #Group by country
+  #Count attacks for each year and country
   attacks.evol <- as.data.frame(table(attacks.evol$Year, attacks.evol$Country))
   attacks.evol <- setNames(attacks.evol, c("Year", "Country", "Count"))
-  attacks.evol <- attacks.evol[attacks.evol$Country != "",]
-
-  attacks.evol <- spread(attacks.evol, "Country", "Count")
+  #Filter by the specified country
+  attacks.evol <- attacks.evol[attacks.evol$Country == Country,]
-  slope1 <- lm(formula = US ~ as.numeric(Year), data = attacks.evol)
+  #Calc slope
+  slope1 <- lm(formula = Count ~ as.numeric(Year), data = attacks.evol)$coef[[2]]
+  #Graph
   graph1 <- ggplot(data = attacks.evol,
-                   aes(x = Year, y = US, group = 1)) +
-
-    geom_line() +
-    geom_point() +
-
-    theme(plot.title = element_text(hjust = 0.5)) +
-    ggtitle("US") +
-    xlab("Years") + ylab("Attacks")+
-    stat_smooth(method = "lm", se = FALSE, aes(outfit=fit<<-..y..)) +
-    geom_label(aes(x = "2014", y = 700, label = signif(slope1$coef[[2]])), color = "blue")
-
-  graph2 <- ggplot(data = attacks.evol,
-                   aes(x = Year, y = GB, group = 1)) +
-
-    geom_line() +
-    geom_point() +
-
-    theme(plot.title = element_text(hjust = 0.5)) +
-    ggtitle("GB") +
-    xlab("Years") + ylab("Attacks")+
-    stat_smooth(method = "lm", se = FALSE, aes(outfit=fit<<-..y..))
-
-  graph3 <- ggplot(data = attacks.evol,
-                   aes(x = Year, y = IN, group = 1)) +
-
-    geom_line() +
-    geom_point() +
-
-    theme(plot.title = element_text(hjust = 0.5)) +
-    ggtitle("IN") +
-    xlab("Years") + ylab("Attacks")+
-    stat_smooth(method = "lm", se = FALSE, aes(outfit=fit<<-..y..))
-
-  graph4 <- ggplot(data = attacks.evol,
-                   aes(x = Year, y = JP, group = 1)) +
-
-    geom_line() +
-    geom_point() +
-
-    theme(plot.title = element_text(hjust = 0.5)) +
-    ggtitle("JP") +
-    xlab("Years") + ylab("Attacks")+
-    stat_smooth(method = "lm", se = FALSE, aes(outfit=fit<<-..y..))
-
+                   aes(x = Year, y = Count, group = 1)) +
+            geom_line() +
+            geom_point() +
+            theme(plot.title = element_text(hjust = 0.5)) +
+            ggtitle(Country) +
+            xlab("Years") + ylab("Attacks")+
+            geom_smooth(method = "lm",
+                        se = FALSE) +
+            geom_label(aes(x = smooth.x, y = smooth.y,
+                           label = paste("Slope =", signif(slope1, 5))),
+                       color = "blue",
+                       hjust = smooth.label.hjust)
-  list(graph1, graph2, graph3, graph4)
+  #Return list(graph, slope)
+  list(graph1, slope1)
 }
-GetCountriesCertsTopEvolution <- function(Attacks){
-
-  certs.evol <- gather(Cert_PerCountry, "Year", "Certs", 2:6) %>% group_by(country_short, Year)
-
-  certs.evol <- rbind(certs.evol[certs.evol$country_short == "US",],
-                      certs.evol[certs.evol$country_short == "GB",],
-                      certs.evol[certs.evol$country_short == "IN",],
-                      certs.evol[certs.evol$country_short == "JP",])
-
+#' Return graph to show the evolution of certifications in a single continent and his smooth
+#'
+#' @param Attacks data.frame with procesed source data
+#' @param Country Country to represent
+#' @param smooth.x Horizontal position to smooth slope label
+#' @param smooth.y Vertical position to smooth slope label
+#' @param smooth.label.hjust Horizontal just to smooth slope label
+#'
+#' @return list(graph, slope)
+#' @export
+GetCountriesCertsSingleEvolution <- function(Cert_PerCountry,
+                                          Country,
+                                          smooth.x = 0,
+                                          smooth.y = 0,
+                                          smooth.label.hjust = 0){
+
+  #Collapsing year columns to only one with the year value
+  certs.evol <- gather(Cert_PerCountry, "Year", "Certs", 2:6) %>%
+    group_by(country_short, Year) #Group by country and year
+  #sum certificates for each country and year
   certs.evol <- summarise(certs.evol,
                           Certs = sum(Certs))
+  #Removing the X of the year values
   certs.evol$Year <- substr(certs.evol$Year,2,5)
+  #Filter by the specified Country
+  certs.evol <- certs.evol[certs.evol$country_short == Country,]
-  certs.evol <- spread(certs.evol, "country_short", "Certs")
-
+  #Calc slope
+  slope1 <- lm(formula = Certs ~ as.numeric(Year), data = certs.evol)$coef[[2]]
+  #Graph
   graph1 <- ggplot(data = certs.evol,
-                   aes(x = Year, y = US, group = 1)) +
-
+                   aes(x = Year, y = Certs, group = 1)) +
     geom_line() +
     geom_point() +
-
     theme(plot.title = element_text(hjust = 0.5)) +
-    ggtitle("US") +
+    ggtitle(Country) +
     xlab("Years") + ylab("Certifications")+
-    stat_smooth(method = "lm", se = FALSE, aes(outfit=fit<<-..y..))
-
-  graph2 <- ggplot(data = certs.evol,
-                   aes(x = Year, y = GB, group = 1)) +
-
-    geom_line() +
-    geom_point() +
-
-    theme(plot.title = element_text(hjust = 0.5)) +
-    ggtitle("GB") +
-    xlab("Years") + ylab("Certifications")+
-    stat_smooth(method = "lm", se = FALSE, aes(outfit=fit<<-..y..))
-
-  graph3 <- ggplot(data = certs.evol,
-                   aes(x = Year, y = IN, group = 1)) +
-
-    geom_line() +
-    geom_point() +
-
-    theme(plot.title = element_text(hjust = 0.5)) +
-    ggtitle("IN") +
-    xlab("Years") + ylab("Certifications")+
-    stat_smooth(method = "lm", se = FALSE, aes(outfit=fit<<-..y..))
-
-
-  graph4 <- ggplot(data = certs.evol,
-                   aes(x = Year, y = JP, group = 1)) +
-
-    geom_line() +
-    geom_point() +
-
-    theme(plot.title = element_text(hjust = 0.5)) +
-    ggtitle("JP") +
-    xlab("Years") + ylab("Certifications")+
-    stat_smooth(method = "lm", se = FALSE, aes(outfit=fit<<-..y..))
-
-
-  list(graph1, graph2, graph3, graph4)
+    geom_smooth(method = "lm",
+                se = FALSE) +
+    geom_label(aes(x = smooth.x, y = smooth.y,
+                   label = paste("Slope =", signif(slope1, 5))),
+               color = "blue",
+               hjust = smooth.label.hjust)
+
+  #Return graph and slope
+  list(graph1, slope1)
 }
@@ -683,300 +709,134 @@ GetCountriesCertsTopEvolution &lt;- function(Attacks){
 #-------------------------gelocal/type---------------------------
 #----------------------------------------------------------------
-GetContinentAttackPie <- function (Attacks){
+#' Return graph representing % of attacks type by continent
+#'
+#' @param Attacks data.frame with procesed source data
+#' @param Country Country to represent on the left side
+#' @param Country2 Country to represent on the right side
+#'
+#' @return Graph
+#' @export
+GetContinentAttackCol <- function (Attacks,
+                                   Country,
+                                   Country2){
+  #Grouping attacks by attack type and country
   attack.pie <- group_by(Attacks, Attack.standar, Country)
+  #Counting attacks for each attack type and country
   attack.pie <- as.data.frame(table(attack.pie$Country, attack.pie$Attack.standar))
   attack.pie <- setNames(attack.pie, c("Country", "Attack", "Count"))
-
+  #Remove rows withouth a country specified
   attack.pie <- attack.pie[attack.pie$Country != "",]
+  #Remove rows withouth attack type specified
   attack.pie <- attack.pie[attack.pie$Attack != "",]
-
+  #grouping non 'important' attack types in 'Otros'
   attack.pie$Attack <- as.character(attack.pie$Attack)
   attack.pie[attack.pie$Attack != "DDoS" &
                attack.pie$Attack != "Defacement" &
                attack.pie$Attack != "Injection",]$Attack <- "Otros"
   attack.pie$Attack <- as.factor(attack.pie$Attack)
-
+  #Grouping atatcks by attacky type and country
   attack.pie <- group_by(attack.pie, Attack, Country)
+  #sum attacks for each attack type and country
   attack.pie <- summarise(attack.pie, Count = sum(Count))
-  attack.pie.US <- attack.pie[attack.pie$Country == "US",]
-  attack.pie.JP <- attack.pie[attack.pie$Country == "JP",]
+  #Filtering by the desired countries
+  attack.pie.C1 <- attack.pie[attack.pie$Country == Country,]
+  attack.pie.C2 <- attack.pie[attack.pie$Country == Country2,]
+  #Calc % of each attack type
+  attack.pie.C1$perc <- round(100 * attack.pie.C1$Count / sum(attack.pie.C1$Count), 2)
+  attack.pie.C2$perc <- round(100 * attack.pie.C2$Count / sum(attack.pie.C2$Count), 2)
+
+  #Calc max % to draw gray background
+  attack.pie.max <- data.frame(Attack = attack.pie.C1$Attack)
+  percs <- c()
+  for (AT in attack.pie.max$Attack){
+    percs <- c(percs, max(attack.pie.C1[attack.pie.C1$Attack == AT,]$perc,
+                          attack.pie.C2[attack.pie.C2$Attack == AT,]$perc))
+  }
+  attack.pie.max$perc <- percs
+
+  graph1 <- ggplot() +
+    geom_col(aes(x=Attack,
+                 y=perc),
+             width = 1,
+             data = attack.pie.max,
+             color = "Black",
+             fill = "Grey") +
+    geom_col(aes(x=1.25:4.25,
+                 y=perc,
+                 fill = Country),
+             width = 0.4,
+             data = attack.pie.C1) +
+    geom_text(aes(x=1.25:4.25,
+                  y=perc + 1,
+                  label = paste(perc, "%")),
+              data = attack.pie.C1) +
+    geom_col(aes(x=0.75:3.75,
+                 y=perc,
+                 fill = Country2),
+             width = 0.4,
+             data = attack.pie.C2) +
+    geom_text(aes(x=0.75:3.75,
+                  y=perc + 1,
+                  label = paste(perc, "%")),
+              data = attack.pie.C2) +
+    scale_x_discrete("Attack", attack.pie.C1$Attack) +
+    ylab("% of total attacks") +
+    theme(plot.title = element_text(hjust = 0.5)) +
+    ggtitle(paste(Country, Country2, sep = " - "))
-  graph1 <- ggplot(data=attack.pie.US,
-                   aes(x=factor(1),
-                       y=Count,
-                       fill=Attack)) +
-    geom_col(width = 1, color='black') +
-    geom_label(aes(label=paste(round(100 * attack.pie.US$Count / sum(attack.pie.US$Count), 2), "%")),
-               vjust=c(0),
-               hjust=c(0)) +
-    coord_polar(theta="y") +
-    scale_x_discrete(labels = c("")) +
-    scale_y_discrete(labels = c("")) +
-    theme(plot.title = element_text(hjust = 0.5),
-          axis.title.x=element_blank(),
-          axis.title.y=element_blank()) +
-    ggtitle("US")
-
-  graph2 <- ggplot(data=attack.pie.JP,
-                   aes(x=factor(1),
-                       y=Count,
-                       fill=Attack)) +
-    geom_col(width = 1, color='black') +
-    geom_label(aes(label=paste(round(100 * attack.pie.JP$Count / sum(attack.pie.JP$Count), 2), "%")),
-               vjust=c(0),
-               hjust=c(0)) +
-    coord_polar(theta="y") +
-    scale_x_discrete(labels = c("")) +
-    scale_y_discrete(labels = c("")) +
-    theme(plot.title = element_text(hjust = 0.5),
-          axis.title.x=element_blank(),
-          axis.title.y=element_blank()) +
-    ggtitle("JP")
-
-  list(graph1, graph2)
+  graph1
 }
-GetContinentAttackEvolution <- function(Attacks){
+#' Return graph representing the evolution of attack types in a country
+#'
+#' @param Attacks data.frame with procesed source data
+#' @param Country Country to represent
+#'
+#' @return list(Graph, data to represent attacktypes of the country 1b1)
+GetContinentAttackEvolution <- function(Attacks, Country){
+
+  #Extract Year from date
   attack.evol <-mutate(Attacks, Year = format(Attacks$Date, "%Y")) %>%
-              group_by(Attack.standar, Country, Year)
+              group_by(Attack.standar, Country, Year) #Group by attack type, country and year
+  #Counting the attacks for each attack type, country and year
   attack.evol <- as.data.frame(table(attack.evol$Country, attack.evol$Attack.standar, attack.evol$Year))
   attack.evol <- setNames(attack.evol, c("Country", "Attack", "Year", "Count"))
-
+  #Removing rows without country or attack type
   attack.evol <- attack.evol[attack.evol$Country != "",]
   attack.evol <- attack.evol[attack.evol$Attack != "",]
-
+  #grouping non 'important' attack types in 'Otros'
   attack.evol$Attack <- as.character(attack.evol$Attack)
   attack.evol[attack.evol$Attack != "DDoS" &
                attack.evol$Attack != "Defacement" &
                attack.evol$Attack != "Injection",]$Attack <- "Otros"
   attack.evol$Attack <- as.factor(attack.evol$Attack)
-
+  #Counting attacks of new tyoe
   attack.evol <- group_by(attack.evol, Attack, Country, Year)
   attack.evol <- summarise(attack.evol, Count = sum(Count))
+  #Filtering by specified country
+  attack.evol <- attack.evol[attack.evol$Country == Country,]
-  attack.evol.US <- attack.evol[attack.evol$Country == "US",]
-  attack.evol.JP <- attack.evol[attack.evol$Country == "JP",]
-
-  attack.evol.US.Otros <- attack.evol.US[attack.evol.US$Attack == "Otros",]
-  attack.evol.JP.Otros <- attack.evol.JP[attack.evol.JP$Attack == "Otros",]
-
-
-  graph1 <- ggplot2::qplot(main = "US",
-                           x = attack.evol.US$Year,
-                           y = attack.evol.US$Count,
-                           group = Attack,
-                           xlab = "Years",
-                           ylab = "Certifications",
-                           data = attack.evol.US,
-                           geom = "point",
-                           color = Attack)  +
-            geom_line() +
-            theme(plot.title = element_text(hjust = 0.5))
-
-  graph2 <- ggplot2::qplot(main = "JP",
-                           x = attack.evol.JP$Year,
-                           y = attack.evol.JP$Count,
-                           group = Attack,
+  #Graph
+  graph1 <- ggplot2::qplot(main = Country,
+                           x = attack.evol$Year,
+                           y = attack.evol$Count,
+                           group = attack.evol$Attack,
                            xlab = "Years",
-                           ylab = "Certifications",
-                           data = attack.evol.JP,
+                           ylab = "Attacks",
+                           data = attack.evol,
                            geom = "point",
                            color = Attack)  +
             geom_line() +
             theme(plot.title = element_text(hjust = 0.5))
-  graph3 <- ggplot2::qplot(main = "US",
-                           x = attack.evol.US.Otros$Year,
-                           y = attack.evol.US.Otros$Count,
-                           group = 1,
-                           xlab = "Years",
-                           ylab = "Certifications",
-                           data = attack.evol.US.Otros,
-                           geom = "point")  +
-            geom_line() +
-            stat_smooth(method = "lm", se = FALSE, aes(outfit=fit<<-..y..)) +
-            theme(plot.title = element_text(hjust = 0.5))
-
-  graph4 <- ggplot2::qplot(main = "JP",
-                           x = attack.evol.JP.Otros$Year,
-                           y = attack.evol.JP.Otros$Count,
-                           group = 1,
-                           xlab = "Years",
-                           ylab = "Certifications",
-                           data = attack.evol.JP.Otros,
-                           geom = "point")  +
-            geom_line() +
-            stat_smooth(method = "lm", se = FALSE, aes(outfit=fit<<-..y..)) +
-            theme(plot.title = element_text(hjust = 0.5))
-
-  list(graph1, graph2, graph3, graph4)
+  #list with graph and processed data to represent 1b1
+  list(graph1, attack.evol)
 }
-#----------------------------------------------------------------
-#----------------------------------------------------------------
-#----------------------------------------------------------------
-
-GetBaseCertsGraph <- function(Cert_PerCountry, year){
-  graph1 <- ggplot2::qplot(main = "Countries with above average number of companies certified with 27001 (2012)",
-                           x = reorder(country_short,X2012),
-                           y = X2012,
-                           xlab = "Country",
-                           ylab = "Number of certifications",
-                           data = Cert_PerCountry[Cert_PerCountry$X2012 > mean(Cert_PerCountry$X2012),],
-                           geom = "col",
-                           fill = Continent)
-  graph1
-}
-
-
-
-
-#' Return every graph used in the report file
-#'
-#' @param Cert_PerCountry data.frame with the processed data of ISO 27001 certifications
-#' @param Attacks data.frame with the processed data of cyberattacks
-#'
-#' @return data.frame
-#' @export
-GetReportGraphs <- function(Cert_PerCountry,Attacks) {
-  #2012
-  graph1 <- ggplot2::qplot(main = "Countries with above average number of companies certified with 27001 (2012)",
-                  x = reorder(country_short,X2012),
-                  y = X2012,
-                  xlab = "Country",
-                  ylab = "Number of certifications",
-                  data = Cert_PerCountry[Cert_PerCountry$X2012 > mean(Cert_PerCountry$X2012),],
-                  geom = "col",
-                  fill = Continent)
-
-  attacks2k12 <- Attacks[Attacks$Date < "2013-01-01" & Attacks$Date >= "2012-01-01",]
-  frameAttacks2k12 <- as.data.frame(table(attacks2k12$Country))
-  colnames(frameAttacks2k12) <- c("Country","Attacks")
-  graph2 <- ggplot2::qplot(main = "Countries with above average number of cyberattacks (2012)",
-                  x = reorder(Country,Attacks),
-                  y = Attacks,
-                  xlab = "Country",
-                  ylab = "Number of attacks",
-                  data = frameAttacks2k12[frameAttacks2k12$Attacks > mean(frameAttacks2k12$Attacks),],
-                  geom = "col",
-                  fill = Continent)
-
-  Attacks2012ByMonth <- mutate(attacks2k12, month = format(attacks2k12$Date, "%m")) %>% group_by(month)
-  Attack2012FreqByMonth <- as.data.frame(table(Attacks2012ByMonth$month))
-  colnames(Attack2012FreqByMonth) <- c("Month", "Attacks")
-  graph3 <- ggplot2::qplot(x = as.numeric(Month),
-                  y = Attacks,
-                  main = "Global cyberattack progression by month (2012)",
-                  data = Attack2012FreqByMonth,
-                  geom = c("point", "smooth"),
-                  xlim = c(1,12),
-                  xlab = "Month") + ggplot2::scale_x_continuous(breaks = 1:12)
-
-  #2013
-  graph4 <- ggplot2::qplot(main = "Countries with above average number of companies certified with 27001 (2013)",
-                  x = reorder(country_short,X2013),
-                  y = X2013,
-                  xlab = "Country",
-                  ylab = "Number of certifications",
-                  data = Cert_PerCountry[Cert_PerCountry$X2013 > mean(Cert_PerCountry$X2013),]
-                  , geom = "col",
-                  fill = Continent)
-  attacks2k13 <- Attacks[Attacks$Date < "2014-01-01" & Attacks$Date >= "2013-01-01",]
-  frameAttacks2k13 <- as.data.frame(table(attacks2k13$Country))
-  colnames(frameAttacks2k13) <- c("Country","Attacks")
-  graph5 <- ggplot2::qplot(main = "Countries with above average number of cyberattacks (2013)",
-                  x = reorder(Country,Attacks),
-                  y = Attacks,
-                  xlab = "Country",
-                  ylab = "Number of attacks",
-                  data = frameAttacks2k13[frameAttacks2k13$Attacks > mean(frameAttacks2k13$Attacks),]
-                  , geom = "col",
-                  fill = Continent)
-
-  Attacks2013ByMonth <- mutate(attacks2k13, month = format(attacks2k13$Date, "%m")) %>% group_by(month)
-  Attack2013FreqByMonth <- as.data.frame(table(Attacks2013ByMonth$month))
-  colnames(Attack2013FreqByMonth) <- c("Month", "Attacks")
-  graph6 <- ggplot2::qplot(x = as.numeric(Month),
-                  y = Attacks,
-                  main = "Global cyberattack progression by month (2013)",
-                  data = Attack2013FreqByMonth,
-                  geom = c("point", "smooth"),
-                  xlim = c(1,12),
-                  xlab = "Month") + ggplot2::scale_x_continuous(breaks = 1:12)
-
-  #2014
-  graph7 <- ggplot2::qplot(main = "Countries with above average number of companies certified with 27001 (2014)",
-                  x = reorder(country_short,X2014),
-                  y = X2014,
-                  xlab = "Country",
-                  ylab = "Number of certifications",
-                  data = Cert_PerCountry[Cert_PerCountry$X2014 > mean(Cert_PerCountry$X2014),]
-                  , geom = "col",
-                  fill = Continent)
-  attacks2k14 <- Attacks[Attacks$Date < "2015-01-01" & Attacks$Date >= "2014-01-01",]
-  frameAttacks2k14 <- as.data.frame(table(attacks2k14$Country))
-  colnames(frameAttacks2k14) <- c("Country","Attacks")
-  graph8 <- ggplot2::qplot(main = "Countries with above average number of cyberattacks (2014)",
-                  x = reorder(Country,Attacks),
-                  y = Attacks,
-                  xlab = "Country",
-                  ylab = "Number of attacks",
-                  data = frameAttacks2k14[frameAttacks2k14$Attacks > mean(frameAttacks2k14$Attacks),]
-                  , geom = "col",
-                  fill = Continent)
-
-  Attacks2014ByMonth <- mutate(attacks2k14, month = format(attacks2k14$Date, "%m")) %>% group_by(month)
-  Attack2014FreqByMonth <- as.data.frame(table(Attacks2014ByMonth$month))
-  colnames(Attack2014FreqByMonth) <- c("Month", "Attacks")
-  graph9 <- ggplot2::qplot(x = as.numeric(Month),
-                  y = Attacks,
-                  main = "Global cyberattack progression by month (2014)",
-                  data = Attack2014FreqByMonth,
-                  geom = c("point", "smooth"),
-                  xlim = c(1,12),
-                  xlab = "Month") + ggplot2::scale_x_continuous(breaks = 1:12)
-
-  #2015
-  graph10 <- ggplot2::qplot(main = "Countries with above average number of companies certified with 27001 (2015)",
-                  x = reorder(country_short,X2015),
-                  y = X2015,
-                  xlab = "Country",
-                  ylab = "Number of certifications",
-                  data = Cert_PerCountry[Cert_PerCountry$X2015 > mean(Cert_PerCountry$X2015),]
-                  , geom = "col",
-                  fill = Continent)
-  attacks2k15 <- Attacks[Attacks$Date < "2016-01-01" & Attacks$Date >= "2015-01-01",]
-  frameAttacks2k15 <- as.data.frame(table(attacks2k15$Country))
-  colnames(frameAttacks2k15) <- c("Country","Attacks")
-  graph11 <- ggplot2::qplot(main = "Countries with above average number of cyberattacks (2015)",
-                  x = reorder(Country,Attacks),
-                  y = Attacks,
-                  xlab = "Country",
-                  ylab = "Number of attacks",
-                  data = frameAttacks2k15[frameAttacks2k15$Attacks > mean(frameAttacks2k15$Attacks),]
-                  , geom = "col",
-                  fill = Continent)
-
-  Attacks2015ByMonth <- mutate(attacks2k15, month = format(attacks2k15$Date, "%m")) %>% group_by(month)
-  Attack2015FreqByMonth <- as.data.frame(table(Attacks2015ByMonth$month))
-  colnames(Attack2015FreqByMonth) <- c("Month", "Attacks")
-  graph12 <- ggplot2::qplot(x = as.numeric(Month),
-                  y = Attacks,
-                  main = "Global cyberattack progression by month (2015)",
-                  data = Attack2015FreqByMonth,
-                  geom = c("point", "smooth"),
-                  xlim = c(1,12),
-                  xlab = "Month") + ggplot2::scale_x_continuous(breaks = 1:12)
-
-
-
-
-  list(graph1,graph2,graph3,graph4,graph5,graph6,graph7,graph8,graph9,graph10,graph11,graph12)
-}
 ---
-title: "Estudio sobre la efectividad de la certificación ISO 27001"
+title: "Estudio sobre la efectividad de la certificaciÃƒÂ³n ISO 27001"
 output:
   html_document: default
   pdf_document: default
@@ -199,193 +199,279 @@ Por otro lado tenemos _DNS_, cuya tendencia también tiene una pendiente negativ
 ### Evolución geográfica
-Este apartado estudiará la relación entre la certificación ISO 27001 y los ataques producidos, pero teniendo en cuenta la variable geográfica, ya que es posible que la certificación, aunque sea internacional, se implemente de una mejor o peor forma según la región. En primer lugar se generalizará por continente.
+Este apartado estudiará la relación entre la certificación ISO 27001 y los ataques producidos, pero teniendo en cuenta la variable geográfica, ya que es posible que la certificación, aunque sea internacional, se implemente o funcione de una mejor o peor forma según la región. En primer lugar se generalizará por continente.
 ```{r fig.width=4.5, fig.height=3,out.extra='style="float:left"'}
 ContinentPies <- ISO27001effectiveness::GetContinentPie(Attacks,
 c(-2.5, 0, 2, 0, -2.5),
 c(1.4, 1, 0.5, 0.5, 0),
 Cert_PerCountry,
-c(0, -1.5, -2.5, -2.5, -2.5),
-c(0.5, 0.2, 0.5, 1.8, -0.5))
+c(-2.5, -2.5, 0, -1.5, -2.5),
+c(-0.5, 1.9, 1, 0.25, 0.6))
-ContinentPies[[1]]
+ContinentPies[[2]]
 ```
 ```{r fig.width=4.5, fig.height=3}
-ContinentPies[[3]]
+ContinentPies[[1]]
 ```
-Se puede observar a simple vista que los continentes que reciben más ataques, por una cuestión lógica de superficie e intereses, son por orden América, Asia y Europa. En cambio los continentes que mas certificaciones ISO 27001 obtienen son por orden Asia, Europa y América. Tanto África como Oceania podemos descartarlos en este estudio ya que sus porcentajes no son relevantes. Observemos ahora cómo influye esto en el tiempo.
+Se puede observar a simple vista que los continentes que reciben más ataques, por lo que podría ser una cuestión lógica de superficie y/o intereses, son por orden: América, Asia y Europa. En cambio, los continentes que mas certificaciones ISO 27001 obtienen son los mismos, pero en distinto orden: Asia, Europa y América.
+
+Tanto África como Oceania serán descartados en el resto del estudio ya que sus porcentajes no parecen relevantes.
 ```{r fig.width=4.5, fig.height=4,out.extra='style="float:left"'}
-ISO27001effectiveness::GetContinentCertsEvolution(Cert_PerCountry)
+ContinentCertEvolution <- ISO27001effectiveness::GetContinentCertsEvolution(Cert_PerCountry, ContinentPies[[3]])
+
+ContinentCertEvolution[[1]]
 ```
 ```{r fig.width=4.5, fig.height=4}
-ISO27001effectiveness::GetContinentAttacksEvolution(Attacks)
+ContinentAttacksEvolution <- ISO27001effectiveness::GetContinentAttacksEvolution(Attacks, ContinentPies[[3]])
+
+ContinentAttacksEvolution[[1]]
 ```
-Se puede observar que la tendencia de las certificaciones es creciente mientras que la de los ataques es decreciente, pero procederemos a comparar cada una individualmente para poder demostrarlo numéricamente y no solo aparentemente.
+Se puede observar que en conjunto la pendiente de la tendencia de las certificaciones es creciente, mientras que la de los ataques es decreciente. No obstante, se procederá a comparar cada continente individualmente para poder observarlo con más precisión.
 ```{r fig.width=4.5, fig.height=3,out.extra='style="float:left"'}
-topAttacks <- ISO27001effectiveness::GetContinentAttacksTopEvolution(Attacks)
-topCerts <- ISO27001effectiveness::GetContinentCertsTopEvolution(Cert_PerCountry)
-topCerts[[1]]
-slope_Ame_Cert <- (fit[5] - fit[1]) / 4
+Ame_Cert <- GetContinentCertsSingleEvolution(ContinentCertEvolution[[2]], "Americas", "2013", 1400, 0.5)
+Ame_Cert[[1]]
+slope_Ame_Cert <- Ame_Cert[[2]]
 ```
 ```{r fig.width=4.5, fig.height=3}
-topAttacks[[1]]
-slope_Ame_Att <- (fit[5] - fit[1]) / 4
+Ame_Att <- GetContinentAttacksSigleEvolution(ContinentAttacksEvolution[[2]], "Americas", "2014", 850, 0)
+Ame_Att[[1]]
+slope_Ame_Att <- Ame_Att[[2]]
 ```
-La pendiente de los ataques para _América_ es `r slope_Ame_Att` mientras que la pendiente de las certificaciones es `r slope_Ame_Cert`.
+Para _América_, la pendiente de la tendencia en las certificaciones es `r slope_Ame_Cert`, mientras que la pendiente de los ataques es `r slope_Ame_Att`.
 ```{r fig.width=4.5, fig.height=3,out.extra='style="float:left"'}
-topCerts[[2]]
-slope_Asi_Cert <- (fit[5] - fit[1]) / 4
+Asi_Cert <- GetContinentCertsSingleEvolution(ContinentCertEvolution[[2]], "Asia", "2013", 13500, 0.5)
+Asi_Cert[[1]]
+slope_Asi_Cert <- Asi_Cert[[2]]
 ```
 ```{r fig.width=4.5, fig.height=3}
-topAttacks[[2]]
-slope_Asi_Att <- (fit[5] - fit[1]) / 4
+Asi_Att <- GetContinentAttacksSigleEvolution(ContinentAttacksEvolution[[2]], "Asia", "2014", 400, 0)
+Asi_Att[[1]]
+slope_Asi_Att <- Asi_Att[[2]]
 ```
-La pendiente de los ataques para _Asia_ es `r slope_Asi_Att` mientras que la pendiente de las certificaciones es `r slope_Asi_Cert`.
+Para _Asia_, la pendiente de la tendencia en las certificaciones es `r slope_Asi_Cert`, mientras que la pendiente de los ataques es `r slope_Asi_Att`.
 ```{r fig.width=4.5, fig.height=3,out.extra='style="float:left"'}
-topCerts[[3]]
-slope_Eu_Cert <- (fit[5] - fit[1]) / 4
+Eu_Cert <- GetContinentCertsSingleEvolution(ContinentCertEvolution[[2]], "Europe", "2013", 9500, 0.5)
+Eu_Cert[[1]]
+slope_Eu_Cert <- Eu_Cert[[2]]
 ```
 ```{r fig.width=4.5, fig.height=3}
-topAttacks[[3]]
-slope_Eu_Att <- (fit[5] - fit[1]) / 4
+Eu_Att <- GetContinentAttacksSigleEvolution(ContinentAttacksEvolution[[2]], "Europe", "2014", 375, 0)
+Eu_Att[[1]]
+slope_Eu_Att <- Eu_Att[[2]]
 ```
-La pendiente de los ataques para _Europa_ es `r slope_Eu_Att` mientras que la pendiente de las certificaciones es `r slope_Eu_Cert`.
-
-Todas las pendientes podrían representar la relación que buscamos, en la que un aumento en las certificaciones produce un descenso en los ataques.
+Para _Europa_, la pendiente de la tendencia en las certificaciones es `r slope_Eu_Cert`, mientras que la pendiente de los ataques es `r slope_Eu_Att`.
-El análisis puede aumentar en profundidad estableciendo superficies geográficas más pequeñas y asi obtener más precisión, observemos lo que ocurre a nivel de paises. Se mostrarán a continuación los paises que superan aproximadamente un 2% de los ataques/certificaciones totales ya que la lista total de paises es demasiado extensa.
+El análisis continuará estableciendo superficies geográficas más pequeñas, aumentando así la precisión, para poder observar lo que ocurre a nivel de paises. Se mostrarán a continuación los que superan aproximádamente un 2% de las certificaciones totales y el 1,5% para los ataques (porque _Estados Unidos_ recibe la gran mayoría y si no saldría solo), ya que la lista completa es demasiado extensa. Los nombres serán representados con los dos caracteres correspondientes al estándar ISO.
 ```{r fig.width=4.5, fig.height=3,out.extra='style="float:left"'}
-top <- GetCountriesCol(Attacks, Cert_PerCountry)
-top[[1]]
+CountryCol <- GetCountriesCol(Attacks,0, 0.5, 
+                              Cert_PerCountry, 0, 0.5)
+CountryCol[[2]]
 ```
 ```{r fig.width=4.5, fig.height=3}
-top[[2]]
+CountryCol[[1]]
 ```
-Como se puede observar en la parte de certificaciones destaca de largo Japón sobre los demás, que se encuentra bastante bajo en la lista de ataques. Y al reves pasa algo parecido, en los ataques destaca Estados Unidos por mucho mientras que ese mismo pais está muy bajo en certificaciones. A continuación observaremos la evolución temporal del top 3 paises en ataques recibidos y en certificaciones obtenidas, varios de ellos coinciden, tenemos por la parte de las certificaciones a _Japón_, por la parte de los ataques a _Estados Unidos_, y común a ambas _Reino Unido_ e _India_.
+Como se puede observar, en la parte de certificaciones destaca de largo _Japón_ sobre los demás, que a su vez se encuentra bastante bajo en la lista de ataques. Y, de un modo totalmente contrario, en los ataques destaca _Estados Unidos_ por mucho, mientras que este mismo está muy bajo en certificaciones.
+
+El estudio continuará en profundidad con el top 3 de paises en número de certificaciones y en número de ataques recibidos, aunque algunos de ellos coincidan.
 ```{r fig.width=4.5, fig.height=3,out.extra='style="float:left"'}
-topAttacks <- ISO27001effectiveness::GetCountriesAttacksTopEvolution(Attacks)
-topCerts <- ISO27001effectiveness::GetCountriesCertsTopEvolution(Cert_PerCountry)
-topCerts[[1]]
-slope_US_Cert <- (fit[5] - fit[1]) / 4
+US_Cert <- GetCountriesCertsSingleEvolution(Cert_PerCountry,
+                                             CountryCol[[3]][1],
+                                             "2013", 875, 0.5)
+
+US_Cert[[1]]
+slope_US_Cert <- US_Cert[[2]]
 ```
 ```{r fig.width=4.5, fig.height=3}
-topAttacks[[1]]
-slope_US_Att <- (fit[5] - fit[1]) / 4
+US_Att <- GetCountriesAttacksSingleEvolution(Attacks,
+                                             CountryCol[[3]][1],
+                                             "2014", 725, 0)
+
+US_Att[[1]]
+slope_US_Att <- US_Att[[2]]
 ```
-La pendiente de los ataques para _Estados Unidos_ es `r slope_US_Att` mientras que la pendiente de las certificaciones es `r slope_US_Cert`.
+La pendiente de la tendencia en los ataques para _`r CountryCol[[3]][1]`_ es `r slope_US_Att` mientras que la pendiente de las certificaciones es `r slope_US_Cert`.
 ```{r fig.width=4.5, fig.height=3,out.extra='style="float:left"'}
-topCerts[[2]]
-slope_GB_Cert <- (fit[5] - fit[1]) / 4
+GB_Cert <- GetCountriesCertsSingleEvolution(Cert_PerCountry,
+                                             CountryCol[[3]][2],
+                                             "2013", 2400, 0.5)
+
+GB_Cert[[1]]
+slope_GB_Cert <- GB_Cert[[2]]
 ```
 ```{r fig.width=4.5, fig.height=3}
-topAttacks[[2]]
-slope_GB_Att <- (fit[5] - fit[1]) / 4
+GB_Att <- GetCountriesAttacksSingleEvolution(Attacks,
+                                             CountryCol[[3]][2],
+                                             "2014", 125, 0.5)
+
+GB_Att[[1]]
+slope_GB_Att <- GB_Att[[2]]
 ```
-La pendiente de los ataques para _Reino Unido_ es `r slope_GB_Att` mientras que la pendiente de las certificaciones es `r slope_GB_Cert`.
+La pendiente de los ataques para _`r CountryCol[[3]][2]`_ es `r slope_GB_Att` mientras que la pendiente de las certificaciones es `r slope_GB_Cert`.
 ```{r fig.width=4.5, fig.height=3,out.extra='style="float:left"'}
-topCerts[[3]]
-slope_IN_Cert <- (fit[5] - fit[1]) / 4
+IN_Cert <- GetCountriesCertsSingleEvolution(Cert_PerCountry,
+                                             CountryCol[[3]][3],
+                                             "2013", 1875, -0.2)
+
+IN_Cert[[1]]
+slope_IN_Cert <- IN_Cert[[2]]
 ```
 ```{r fig.width=4.5, fig.height=3}
-topAttacks[[3]]
-slope_IN_Att <- (fit[5] - fit[1]) / 4
+IN_Att <- GetCountriesAttacksSingleEvolution(Attacks,
+                                             CountryCol[[3]][3],
+                                             "2014", 60, -0.3)
+
+IN_Att[[1]]
+slope_IN_Att <- IN_Att[[2]]
 ```
-La pendiente de los ataques para _India_ es `r slope_IN_Att` mientras que la pendiente de las certificaciones es `r slope_IN_Cert`.
+La pendiente de los ataques para _`r CountryCol[[3]][3]`_ es `r slope_IN_Att` mientras que la pendiente de las certificaciones es `r slope_IN_Cert`.
 ```{r fig.width=4.5, fig.height=3,out.extra='style="float:left"'}
-topCerts[[4]]
-slope_JP_Cert <- (fit[5] - fit[1]) / 4
+JP_Cert <- GetCountriesCertsSingleEvolution(Cert_PerCountry,
+                                             CountryCol[[3]][4],
+                                             "2013", 7600, 1)
+
+JP_Cert[[1]]
+slope_JP_Cert <- JP_Cert[[2]]
 ```
 ```{r fig.width=4.5, fig.height=3}
-topAttacks[[4]]
-slope_JP_Att <- (fit[5] - fit[1]) / 4
+JP_Att <- GetCountriesAttacksSingleEvolution(Attacks,
+                                             CountryCol[[3]][4],
+                                             "2014", 30, -0.5)
+
+JP_Att[[1]]
+slope_JP_Att <- JP_Att[[2]]
 ```
-La pendiente de los ataques para _Japón_ es `r slope_JP_Att` mientras que la pendiente de las certificaciones es `r slope_JP_Cert`.
+La pendiente de los ataques para _`r CountryCol[[3]][4]`_ es `r slope_JP_Att` mientras que la pendiente de las certificaciones es `r slope_JP_Cert`.
 ### Evolución geográfica y tipo de ataque
-Hasta ahora se han analizado por separado estas dos variables, pero la respuesta podria encontrarse en una combinacion de las mismas. Para ello se analizarán los tipos de ataque reportados en el pais en el que parece que la certificación es más efectiva, _Japón_, y en el que menos, _Estados Unidos_.
+Hasta ahora se han analizado por separado el tipo de ataque y la localización geofráfica, pero la respuesta podría encontrarse en una combinación de las mismas. Para ello se analizarán los tipos de ataque reportados en el país con más certificaciones, _Japón_, y en el que más ataques recibe, _Estados Unidos_.
+
+```{r fig.width=9, fig.height=4}
+ISO27001effectiveness::GetContinentAttackCol(Attacks, "US", "JP")
+```
+
+Como se pudo apreciar en un apartado previo, la ISO 27001 parece especialmente efectiva contra las técnicas de _Defacement_, _DDoS_ e _Injection_, en los gráficos previos se puede observar que _Estados Unidos_ tiene un menor porcentaje de este tipo de ataques con respecto a _Japón_. Para valorarlo mejor se representará a continuación cómo evolucionan con el tiempo en ambos paises.
 ```{r fig.width=4.5, fig.height=3,out.extra='style="float:left"'}
-graphs <- ISO27001effectiveness::GetContinentAttackPie(Attacks)
-graphs[[1]]
+US_Att_Year <- ISO27001effectiveness::GetContinentAttackEvolution(Attacks, "US")
+
+US_Att_Year[[1]]
 ```
 ```{r fig.width=4.5, fig.height=3}
-graphs[[2]]
+JP_Att_Year <- ISO27001effectiveness::GetContinentAttackEvolution(Attacks, "JP")
+JP_Att_Year[[1]]
 ```
-Como vimos en el apartado previo, la ISO 27001 parece especialmente efectiva contra las técnicas de _Defacement_, _DDoS_ e _Injection_, en los gráficos previos podemos observar como para _Estados Unidos_ tiene un menor porcentaje de este tipo de ataques con respecto a _Japón_. Para valorarlo mejor se representará a continuación cómo evolucionan con el tiempo.
+Como se puede observar, en _Estados Unidos_ se presenta una tendencia mayor a recibir los tipos de ataques que parecen menos afectados por la ISO 27001, mientras que en _Japón_ parecen matenerse. Se representarán las tendecias para cada técnica en ambos paises.
 ```{r fig.width=4.5, fig.height=3,out.extra='style="float:left"'}
-graphs <- ISO27001effectiveness::GetContinentAttackEvolution(Attacks)
-graphs[[1]]
+US_dds_Year <- GetAttackTypeSigleEvolution(US_Att_Year[[2]],
+                                             "DDoS",
+                                             "2014",
+                                             75, 0)
+US_dds_Year[[1]]
+slope_US_dds <- US_dds_Year[[2]]
 ```
 ```{r fig.width=4.5, fig.height=3}
-graphs[[2]]
+JP_dds_Year <- GetAttackTypeSigleEvolution(JP_Att_Year[[2]],
+                                             "DDoS",
+                                             "2014",
+                                             4.4, 0)
+JP_dds_Year[[1]]
+slope_JP_dds <- JP_dds_Year[[2]]
 ```
-Como se puede observar, en _Estados Unidos_ se presenta una tendencia mayor a recibir los tipos de ataques que parecen menos afectados por la ISO 27001, mientras que en _Japón_ parecen matenerse. Se representarán las tendecias en ambos paises.
+Para _DDoS_, la pendiente de la tendencia es menor en _Estados Unidos_(`r slope_US_dds`) que en _Japón_(`r slope_JP_dds`).
 ```{r fig.width=4.5, fig.height=3,out.extra='style="float:left"'}
-graphs[[3]]
-slope_US_Oth <- (fit[5] - fit[1]) / 4
+US_def_Year <- GetAttackTypeSigleEvolution(US_Att_Year[[2]],
+                                             "Defacement",
+                                             "2014",
+                                             46, 0)
+US_def_Year[[1]]
+slope_US_def <- US_def_Year[[2]]
 ```
 ```{r fig.width=4.5, fig.height=3}
-graphs[[4]]
-slope_JP_Oth <- (fit[5] - fit[1]) / 4
+JP_def_Year <- GetAttackTypeSigleEvolution(JP_Att_Year[[2]],
+                                             "Defacement",
+                                             "2014",
+                                             1.5, 0)
+JP_def_Year[[1]]
+slope_JP_def <- JP_def_Year[[2]]
 ```
-Efectivamente, la tendencia en _Estados Unidos_ tiene una pendiente mayor (`r slope_US_Oth`) que en Japón que es cercana al 0 (`r slope_JP_Oth`) lo que, aunque la gráfica sea irregular debido a la baja cantidad de casos, implica una constancia.
-
-# Viejo
-
-De los datos mostrados se pueden hacer diferentes observaciones:
-
-* De 2014 a 2015, USA pasa de tener 654 a 1247 empresas con certificación ISO 27001, sin embargo la cifra de ciberataques se mantiene constante de 383 a 386 ataques recibidos. De 2013 a 2014 por ejemplo, pasa de recibir 505 a 383 ataques pese a sólo haber pasado de 566 a 654 empresas con dicha certificación.
-* Japón tiene un número inusualmente alto de empresas con la ISO 27001, no obstante sufre una cantidad de ciberataques comparativa a la de Israel, que tiene muchas menos empresas con la certificación.
-
-Ambas observaciones son de especial interés ya que ponen de relieve situaciones en las que de ser efectivo reformar los sistemas para cumplir la ISO 27001, debería poder apreciarse un efecto en la cantidad de ciberataques recibidos. En el caso de los USA, sólo podría explicarse mediante alguna de las siguientes hipótesis:
+Para _Defacement_, la pendiente de la tendencia es menor en _Estados Unidos_(`r slope_US_def`) que en _Japón_(`r slope_JP_def`), aunque es muy parecida.
-* Entre 2013 y 2014 se produjo un número especialmente alto de ciberataques a USA
-* Se crean más empresas de las que logran certificarse, y además, sufren ataques antes de obtenerla
+```{r fig.width=4.5, fig.height=3,out.extra='style="float:left"'}
+US_inj_Year <- GetAttackTypeSigleEvolution(US_Att_Year[[2]],
+                                             "Injection",
+                                             "2014",
+                                             155, 0)
+US_inj_Year[[1]]
+slope_US_inj <- US_inj_Year[[2]]
+```
+```{r fig.width=4.5, fig.height=3}
+JP_inj_Year <- GetAttackTypeSigleEvolution(JP_Att_Year[[2]],
+                                             "Injection",
+                                             "2014",
+                                             9, 0)
+JP_inj_Year[[1]]
+slope_JP_inj <- JP_inj_Year[[2]]
+```
-La primera hipótesis puede ser comprobada con los datos que disponemos. A continuación se muestra una línea temporal de ciberataques globales entre los años 2012 y 2015.
+Para _Injection_, la pendiente de la tendencia es menor en _Estados Unidos_(`r slope_US_inj`) que en _Japón_(`r slope_JP_inj`).
+```{r fig.width=4.5, fig.height=3,out.extra='style="float:left"'}
+US_Oth_Year <- GetAttackTypeSigleEvolution(US_Att_Year[[2]],
+                                             "Otros",
+                                             "2014",
+                                             100, 0)
+US_Oth_Year[[1]]
+slope_US_Oth <- US_Oth_Year[[2]]
+```
+```{r fig.width=4.5, fig.height=3}
+JP_Oth_Year <- GetAttackTypeSigleEvolution(JP_Att_Year[[2]],
+                                             "Otros",
+                                             3.5,
+                                             3.5, 0)
+JP_Oth_Year[[1]]
+slope_JP_Oth <- JP_Oth_Year[[2]]
+```
-Observamos que se produjo lo contrario, bajó el número de ciberataques.
+Para _Otros_, la pendiente de la tendencia es mayor en _Estados Unidos_(`r slope_US_inj`) que en _Japón_(`r slope_JP_inj`).
 ## Conclusiones
-Por lo observado anteriormente, se puede concluir que:
-* La cantidad de ciberataques que recibe un país no se mitiga por el número de empresas que han obtenido la certificación ISO 270001
-Esto no lleva a concluir que obtener la certificación ISO 27001 no es efectiva para reducir el número de ciberataques, sino que probablemente dependa de factores externos ajenos a este estudio
 ## Trabajo futuro
-Como trabajo futuro querríamos poder seguir en la línea de investigación acerca de los siguientes puntos:
+Como trabajo futuro, el estudio podría seguir diversas líneas de investigación, resumidas en los siguientes puntos:
-* ¿Qué factores producen un aumento o recesión en la cantidad de ciberataques recibidos?
-* ¿Qué sectores industriales reciben más ciberataques?
-* ¿Cuáles de esos sectores son los que más certificaciones obtienen?
+* Mejorar la fuente de datos de ciberataques. Una fuente cuya administración, recopilación y mantenimiento no dependiera de una sola persona y fuera más constante, homogenea y detallada.
+* Conectar los datos sobre web sites certificados por pais que nos provee la fuente de datos de certificaciones.
+* Homogenizar los nombres y conectar los datos sobre sectores industriales que nos proveen ambas fuentes.
+* Investigación más a fondo de los cambios realizados sobre la norma 27001, como la 27001:2013, para relacionarlos con las irregularidades en las curvas de ataques.
+* Incorporar nuevas variables que puedan afectar al estudio, como parches importantes u otras normas parecidas.
 Creemos que la investigación de estas cuestiones puede dar más robustez a las conclusiones expuestas en este estudio.
@@ -11,7 +11,7 @@
-<title>Estudio sobre la efectividad de la certificación ISO 27001</title>
+<title>Estudio sobre la efectividad de la certificaciÃƒÂ³n ISO 27001</title>
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@@ -115,7 +115,7 @@ $(document).ready(function () {
-<h1 class="title toc-ignore">Estudio sobre la efectividad de la certificación ISO 27001</h1>
+<h1 class="title toc-ignore">Estudio sobre la efectividad de la certificaciÃƒÂ³n ISO 27001</h1>
 </div>
@@ -372,74 +372,63 @@ $(document).ready(function () {
 </div>
 <div id="evolucion-geografica" class="section level3">
 <h3>Evolución geográfica</h3>
-<p>Este apartado estudiará la relación entre la certificación ISO 27001 y los ataques producidos, pero teniendo en cuenta la variable geográfica, ya que es posible que la certificación, aunque sea internacional, se implemente de una mejor o peor forma según la región. En primer lugar se generalizará por continente.</p>
-<p><img 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" 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" width="432" /></p>
-<p>Se puede observar a simple vista que los continentes que reciben más ataques, por una cuestión lógica de superficie e intereses, son por orden América, Asia y Europa. En cambio los continentes que mas certificaciones ISO 27001 obtienen son por orden Asia, Europa y América. Tanto África como Oceania podemos descartarlos en este estudio ya que sus porcentajes no son relevantes. Observemos ahora cómo influye esto en el tiempo.</p>
+<p>Este apartado estudiará la relación entre la certificación ISO 27001 y los ataques producidos, pero teniendo en cuenta la variable geográfica, ya que es posible que la certificación, aunque sea internacional, se implemente o funcione de una mejor o peor forma según la región. En primer lugar se generalizará por continente.</p>
+<p><img 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" 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" width="432" /></p>
+<p>Se puede observar a simple vista que los continentes que reciben más ataques, por lo que podría ser una cuestión lógica de superficie y/o intereses, son por orden: América, Asia y Europa. En cambio, los continentes que mas certificaciones ISO 27001 obtienen son los mismos, pero en distinto orden: Asia, Europa y América.</p>
+<p>Tanto África como Oceania serán descartados en el resto del estudio ya que sus porcentajes no parecen relevantes.</p>
 <p><img 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" 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" width="432" /></p>
-<p>Se puede observar que la tendencia de las certificaciones es creciente mientras que la de los ataques es decreciente, pero procederemos a comparar cada una individualmente para poder demostrarlo numéricamente y no solo aparentemente.</p>
-<p><img 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" 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" width="432" /></p>
-<p>La pendiente de los ataques para <em>América</em> es -100.8 mientras que la pendiente de las certificaciones es 275.2.</p>
-<p><img 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" width="432" /></p>
-<p>La pendiente de los ataques para <em>Asia</em> es -58.4 mientras que la pendiente de las certificaciones es 1008.4.</p>
-<p><img 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" 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Uks2HXp1edfKsG++VWCzXEgVYxkeFrI4qQVrNx0vXj++8fDd39+fFN8J8HmKN+8QqgYy/A0kMVJK9h1deh1e6j3E7/7U4LNUr09jE4xmuGpIYuTVLBi3/Btpdm3vz8X27HyXwk2x9AwEsV4hqeCLE5SwT6+KY+7mp1DCWagEIzuUIxoeErI4hAI9lAvIEowC4caJsWYhueeLg7BLuJtvX54rWMwA41gTKsdTMNzTxcn9SJHtXxYmnUb5EQYqBdIWQ+HDp7VDqLhKSGLk36ZvjrFXFim82AG+oKxrHYQDU8JWZy0gtWnmItjr/KbENdKgXqBlPUwEIxkI0Y0PCVkcVJfKnV9qA+9rgOscOQnGIViRMNTQhYntWCBAfUCKevixK97AsWYhueeLo4Es/QCKevj1K/75IpRDQ9dnLTnwf67f+vzf47uJT5dvvqr+ubTu4uLi6vm3sGNnASbNSyJYlzDwxYn8Ynm3sr8w2H0MOzLh4tasKfLi5KRG3kJVsU5/UTtlIYRDg8TaQXrlg7LdfpRwe4ajYpN1utKrKvTGzkKdn/2gdrpFGMcHiISX8nRGHZ7mHhPc7mpqgR7rL88Xf78x8mNPAU7/6MQqRRjHB4ikp8He1tehli9L2yEYgfxP+pjsJt6a1Xc8f7kRpaCnW/C7lMpRjk8PKRdRSwM++bX68PE7mFp0ut6kePLh59+q+65K9wa3MhVsFnDYipGOTw8JF6mbz4uYOIqjnJXsBbs07tmb/CuOPoa3Kj5vmbqv/kKOYyOaWdY7DgiKdPnwUrDpj4r4NO7Ykt1IthjX7DHjAWbGlMpliMzJ5oLw6Yuk6oOtWyCNYC2xpCyXto4438i/T76oRjp8LCQZhexXJU/49Szu2qtUIKd0MWZNCyuYqzDQwKvYE+X1VKG7RgsR8FGVxJrYq520A4PB7yC3V10/PyHVhE7eoJNGxZxI0Y7PBzwXuw7EKw4HqtOebXnwXo38hVs1rBoivEODwW8gjU0F/vqSo6Wfpw5wWIpRjw8DOxFMF2L2DIQbN6wKIoRDw8DiQVrLqh/mP7Em/btKo8XvQvoBzcyFsxuGE4x5uEhIK1gD81Z5ofJi6X0frBThnEWBIuwEaMenvQkFay8yrf6SI7b6csRVwHqBVLWy4lgi4ahFaMenvQk/lzEdtewvGJKn4to4iTOsmBgxbiHJzmJ3w92lEqf7GvkVDCLYUjFuIcnOWnf0dz7sFF9Nr2R0zgrDQuuGPnwpEaCGXqBlPVyFsckGG4jxj48iUm8i3h8I5j+AJ+Rc8GMhoEUYx+exCRe5Oi2WoVs+hOyJs7jmA2DKEY/PGlJvkxfb8Mept/WLMGGjMQxC4ZQjH94kpL2RPN172L6ABuwbAXzGBZKMf7hSUriS6Wug/qVq2CrDAu9EdvB8KQk+cW+tWIBFjhyFmzNTuJ9YMX2MDwJSS5YUEC9QMp6GRdsnWEhFdvD8CREghl6gZT1Mh5nrWHhFNvF8KSDR7CP/6YTzRYm4qwVLNhqxz6GJxk0ixxBLqcH9QIp62VKsNWGBdqI7WN4kpFUsOZzfSXYGqbirBcsjGI7GZ5UJBXsdvCpUjrRbGJSMI9hARTbyfCkIvG1iN/8+vxQngL7+CbE28GyFsxp2GbF9jI8iUh7NX1p1cc35b7h5196V9ZLsBmm4/gE27rasZvhSUP6t6s0aj3oYl8bM4I5Ddu2EdvN8KQhvWDP19XR18c3eruKiZk4bsO2KLaf4UkCgWC31eFXvacowRaZi+MWbINiOxqeFBB8JsdtdSWi3tFsZFawDYZ5FdvR8KQg9TL9i+pdYS9L2bSLaGI2ThjDVim2p+FJQFLByj+y8u3v7elmLXKYmI+zRTDfRmxXwxOftJdKPVRvVHkIdSGHBNu2Cbv3KLar4YlP4msRP/9SbrfKLVmQd4SBeoGU9bIQZ6thqxXb1/BEh+dq+hCAeoGU9bIUZ6tgaxXb2fDERoIZeoGU9bIoWEDDLIrtbHhik/Y8WO+461ariDYW42wXbNVGbG/DExkawa71dhUby4KFMMyu2N6GJzKJBBv7K+gSzMRynDCGWRXb3fDEJdUW7PZcMJ0HM2GIE0Ywo2L7G56opBLsfBMWYp0e1AukrBeLYMENm1Fsf8MTFZpjsCCAeoGU9WKJE8www0Zsh8MTEwlm6AVS1ospTjDBlhXb4/BEROfBDL1AynqxCRbQsAXF9jg8EaHZguk8mBFbnKCGzSq2y+GJB41gOg9mxBgnqGBzqx37HJ5o6DyYoRdIWS9WwcIaNr0R2+fwREPnwQy9QMp6scYJbdiUYjsdnljoPJihF0hZL+Y4oQWbUGyvwxMJmmOwIIB6gZT1YhcsvGFjiu11eCIhwQy9QMp6sccBCDay2rHb4YkDzXmwz79okcPECsEQhp1txHY7PHEgEexWq4hWVsTBGHai2H6HJwoMgjULHhLMxJo4GMGGiu14eGKQXrDmb/CF+NsPEuwE0Cbsvq/YjocnBokFe2jW6EP87SIJdk4Ew37Y8fBEIKVg3R+4DKSXBDsHJljAP6MeFLJXK6FgzbUc3/zPLxJsDSsFAxpGqRjZq5X6WsS33Z+AkGBGVsaBGkaoGNmrlUiw2q/aKwm2jrVxoILxKUb2aiUT7LhoKMHWsVqwWIZxKEb2aiXdgtWX90qwdayOAzbs+ZnKMLJXK9kix3W3fijB1rE+Dlowqv1Eslcr4Spis86hVcSVOASDGlbnoVGM7NVKe6I58GlmCTZBBMFoFCN7tVJfydGea9aVHGY8giEN6/JwrHaQvVqpBXuu/kRzsGsRxTiHOJ+bd7x6SsRl4fW91tX0dlxxgJuwQZ70GzGyV4tgC1ZR/zl0CWbAJxjOsJM8qRUje7VYBCu4lWAmfHFwhp3lSasY2atFJFgIQL1AynpxxoknWNrVDrJXS4JZeoGU9eIVDGXYWJ6EhpG9WhLM0gukrBdvHJRh43mSKUb2akkwSy+Qsl7ccaIKlkwxsldLgll6gZT14hcMY9h0niSKkb1aEszSC6SsF38cjGEzeVIYRvZqSTBLL5CyXjbEiS1YCsXIXi0JZukFUtbLFsEQhi3kia0Y2aslwSy9QMp62RIngWCxFSN7tSSYpRdIWS+bBAMYtpwn6olnsldLgll6gZT1sikOwDBLnoiGkb1aEszSC6Ssl21x0ggWUTGyV0uCWXqBlPWyUbDghlnzRFKM7NWSYJZeIGW9bIwT3DB7niiKkb1aEszSC6Ssl61x0gkWZbWD7NWSYJZeIGW9bBYssGGr8uANI3u1JJilF0hZL5vjBDZsZR60YmSvlgSz9AIp62V7nKSCoRUje7UkmKUXSFkvAQQLapgjD1IxsldLgll6gZT1EiBOUMM8eXCGlR9PFrzoFiSYoRdIWS8h4qQWDKZY/TG2YWtuQ4IZeoGU9RJEsIBz0JsHoVjzUexMhkkwQy+Qsl6CxCEQDKDY4cBnmAQz9AIp6yWMYOGm4IY8oU88SzAJtp0wccLNwU15whomwSTYdgLF4RAsrGISTIJtJ5RgoSbh5jwBFTvwKSbBDL1AynoJFSfUHAyQJ5RinVxEhkkwQy+Qsl6CxeERLNBqR18tGsUkmKEXSFkv4QQLMwPD5AlgWK1UG4dlP1GCGXqBlPUSLk6YCRgqz0bFWp+OcTgUk2CGXiBlvQSMQyXYNsU6mfpxGBSTYIZeIGW9hBQsxOwLOTxuxY4iDeOkV0yCGXqBlPUSMk6IyRd0eJyrHT2LTuOkNkyCGXqBlPUSNA6bYK6N2MCh8zhpFZNghl4gZb2EFWz71As+PGsVGwo0EifpfqIEM/QCKeslbBxCwVYqdiLPaJyEikkwQy+Qsl4CC7Z53kGGx67YqTkTcZIpJsEMvUDKegkcZ/O0wwyP1bAzbSbjJFJMghl6gZT1EjoOp2A2xUacmYmTRDEJZugFUtZLcME2zjnc8CwqNibMbJwEhkkwQy+Qsl6Cx9k455DDM6/YqC0LcaIrJsEMvUDKegkfh1ew2RPP46osxYm9nyjBDL1AynoBCLZpwoGHZ8qwKU+W48RVTIIZeoGU9QKIs2m+wYdnVLFJSSxxYiomwQy9QMp6QcShFmxMsWlBbHHiKSbBDL1AynqBCLZhskUZnhPFZuywxollmAQz9AIp6wUSZ8NkizM8/dWOWTfsceIoJsEMvUDKesHEYResp9i8GCviRNlPlGCGXiBlvYAEc8+0eMNjunxqVZwIikkwQy+Qsl5AcXYgmEmxlXHgikkwQy+Qsl5QgnmnWdThOSwqtjoOWDEJZugFUtYLKo53lsUcnkKFJcMccaCKSTBDL5CyXmBx+AWrPZhXzBUHaJgEM/QCKesFJ5hvjsUbns6COcWccWCKSTBDL5CyXnBxfFMs2vD0FZhWzBsHtZ8owQy9QMp6AcZhFuxk/k9eZu+Pg1FMghl6gZT1ghTMM7/iDM/55J8wbEschGISzNALpKwXZBzP9IoyPKMTf1SxbXHCK0Yt2NPlxcXFVXPj07upGxIsGKSCTc36EcW2xgltGLNgdxcVP//RyXZx8eqvsxsSLByOyYUfnrk5f6bY9jhhFSMWrLDofbWtev3cfinuujq9IcFCsn5uwYdnfsKfrnYEiBN0P5FYsJvan6fLchP2WG+uRm5IsKDQCbY42YeGBYkTUDFiwRo+vSs1amz78qHcqg1uSLCgrJ5Y8DzLgfqKBYoTTDF+wZ4ui83Vlw8//VbduivcGtyQYIGhEsw6zY+KBYsTSDF6wdojsWZv8K44+hrcqPm+xv/fiJZDrHMqBso5bnxop1jY/51oMOZwx7y5uKi2Vp1Tj33BHiUYAJ5JtWp+AwxbI3havCmLo6z6fNeSYA2grTGkrJcIy+KrHo28NnJdEtM7ntdnoPxc1kCClVT7iBKsI8Z5pzWPBl7dv3pqAxTbeijGL1i1KL90DCbBQrJqRsHeYe2a13SK7UCwchlRq4gdUS5NWvFY1IfwOCf15GX2G8OQfaJCAMG6s1zVOv1NfaM9D/Z+8AgJFpg10wmSZ8uERh2KUb0fNYBghUb1DmC1I6grOVoiXb1ufigiz4Z9sjIO02oHsWD1GbDCpnKHUNcitkR6/5X5keHzBDjm4VGMWLBCrZr3vRv1BfSDGxIMgH0uBc+zbdmujcNyKMYsWP2ur9YivR+sJtpb9I0PDJ1n44mnLg7Jage1YKsB9QIp6yVWnESCBTyxS7HaIcEMvUDKeokmmHEeBc2z/QLbQRwCxSSYoRdIWS/xPibN9rCQeQJcwH4SJ7liEszQC6Ssl4ifQ2h6WMA8Id4fchYn8YKiBDP0AinrJV4c2yQKlwf0/ivEaoddMQlm6AVS1kvEOFEFC/QW4rE4KfcTJZihF0hZLzEFiziDsG/RT6eYBDP0AinrJWYcy5wPkwf+ITOpFJNghl4gZb1EjRNLsHCfkzYdJ41iEszQC6Ssl7iCxdkHivM5hElWOySYoRdIWS9x4yzP/O15gn6U7mwchGEL8SWYoRdIWS+R4+AFi/pR1dH3EyWYoRdIWS+xBUMfxcf+YwuRFZNghl4gZb3EjrM0/zfmSfDngqIqJsEMvUDKeokeBylY6D8WZIsDW+0Y6UWCGXqBlPUSXzDcOnR4v4xxYKsdZ+1IMEMvkLJe4seBCRZeL3ucWAuKEszQC6SslwSCgU70IPxaESeOYhLM0AukrJcEcWZF8OYB7B6WrIkT41BMghl6gZT1kiIOQDCQX+viRFjtkGCGXiBlvSQRLPilCiC9VseBr3ZIMEMvkLJeksSZ0cGVB+bX+jhYxXAbagkGIk2csILh/PLEAa52HLb95YhpJBiMRIIFvNgO9Vu9wjU8uK0YyjAJBiNRnMlZsjoP1C/n8OBWO0CGSTAYqeKEEgyql394sIYFLFojwWAkEyzM5eJgvzYMT3jFJJixF0hZL8niTEyTVXmwu4clW4YntGISzNgLpKyXdHG2C4b3a+PwBFZMixy2XiBlvSQUbOsbnvB6bR6ewKsdWqY39QIp6yVhnI2CxfBr+/CENyxIoRMkGIyUgo3NFWueCLuHJQGGJ6hiulTK0AukrJeUcTa8ZTeSX2GGJ6BiEszQC6Ssl6Rx3IJF0ivY8ARTTIIZeoGU9ZJWsHNNTHmi+RVseEKtdkgwQy+Qsl7SxvF96EQ8vwIOTxjDJJihF0hZL4njOASLdfhVEXJ4QigmwQy9QMp6SS3Y6k91iepX4OHZrpgEM/QCKesldZxTW5byRNUr/PBsVUyCGXqBlPWSPM46wSL7FX54Nq52SLobBJgAAAkmSURBVDBDL5CyXpLHWfO5ZHF3D0sAw7PJMAlm6AVS1kv6OENn5vLE9wszPBsUk2CGXiBlvRDEsQoWXy/Y8LgVk2CGXiBlvRDEMX6yZgq/cMPjVEyCGXqBlPXCEMciWILdwxLc8PhWOySYoRdIWS8McfrqTORJ5Bd0eDyGSTBDL5CyXijiLH42dCK90MOzXjEJZugFUtYLR5wFwZL5BR+etYpJMEMvkLJeOOIcBRrJk2r3sAQ/POsUk2CGXiBlvZDEmfnrBin9ijE8q1Y7JJihF0hZLyxxJgVLqVek4VlhmAQz9AIp64UlTqvRaZ60fsUaHrNiEszQC6SsF5o4jUgneRL7FW94jIpJMEMvkLJeeOKMCJb08Ksi4vCYFJNghl4gZb3wxKld6udJ71fU4bGsdkgwQy+Qsl6I4lQ29fKk1yv28CwbJsEMvUDKemGKMxSMwa/ow7OkmAQz9AIp64UpTmlUm4dg97Ak/vDMKybBDL1AynqhinMUjMSvJMMzp5gEM/QCKeuFKk7310NI9Eo0PDOrHV+XYCI2tWHll9RJ0tIZlua/1xYsHFRxgH/D0Umy4ZnYiH1dWzBQL5CyXpji8PmVcnhGFZNghl4gZb0wxZFgQ0YUk2CGXiBlvTDFkWAnnK92SDBDL5CyXpjiSLAzTg2TYIZeIGW9UMWh84tgeIaKSTBDL5CyXrjisPlFMTx9xSSYoRdIWS9kccj8Ihmeo2ISzNALpKwXsjhseUjiHFc7JNhyL5CyXsjisOWhiWN6O6YbCQaDLA5bHqI4EszaC6SsF7I4bHmo4mgX0dYLpKwXsjhsecjiSDBLL5CyXsjisOUhi6NVREsvkLJeyOKw5SGLI8EsvUDKeiGLw5aHLI4Es/QCKeuFLA5bHrI4EszSC6SsF7I4bHnI4kgwSy+Qsl7I4rDlIYsjwSy9QMp6IYvDlocsjgSz9AIp64UsDlsesjgSzNILpKwXsjhsecjiSDBLL5CyXsjisOUhiyPBLL1Aynohi8OWhyyOBLP0AinrhSwOWx6yOBLM0gukrBeyOGx5yOJIMEsvkLJeyOKw5SGLI8EsvUDKeiGLw5aHLI4Es/QCKeuFLA5bHrI4EszSC6SsF7I4bHnI4nxlgkH4/vvUCQaQxWHLQxYnUh4JFg6yOGx5yOJIsGXIXjKyOGx5yOJIsGXIXjKyOGx5yOJIsGXIXjKyOGx5yOJIsGXIXjKyOGx5yOJIsGXIXjKyOGx5yOJIMCH2jwQTAogEEwKIBBMCiAQTAogEEwKIBBMCiAQTAshOBHu6vLi4+PmP+sand8WNq+MPP717PfYwkjhXz3iMeeqHvvqLI071gyivl3V4bso478P+3/sQ7KZ+KepxqYbr4uI4T24uXo88LH2cu1gTyJin5MuHC7hgxjjNT/DjY8zTCv96tIiXXQj2WA/OzcVPv1Xj8Loap6vmpzftmAwelj5Ocd/79ucMeSruLuCCWeM8wgdmVZ7iV095313g2bMLwW6a4ah+2TzWM+Tpsv7NV/1Gen3+MJo47U+S52lvogWzxrnpJjlFnuYnhWFBZ88eBPvyofmlUv3Oa8ar+IVT7i0Xv5FfN78Khw9LHqfl0zuwYCvyFPf+B/oYzBqnexwY8+wJffRVswfBOsqx6Mbrrt6iF7dOhYq372GJE2NVwZqn+CVOE+fTu1f/uoyyJGXKg/o9uCfBql8y3UAcN+UnMxr1u8gXpz4S48hT7gVFE2wpTrvGQTI85bgUR2vBj9/3JNhduZfcDdHjlGB3+HUyc5yb8K+YP8+nd0WWaIItxWnWHp4uIw3QQp5iXP4XsQa9I8Eem2WgBcEeI01pS5zit2akM2GWPNXxRyzBFuPcdV+vGPI8NqsdoafPfgRrOl8SLK5fhg1qpH3E5Tz1lj2SYObhiRRoMc9j+4sww1XEivb8xMJBT+jTGBvj1LcjzKDlPM2+WJz5vGJ48KcxTHm6XdXAA7QTwYp9rWZkTtaBSo4v2fFhFHFqIkxpS57mupIY107scXg6zwMLvw/B+hf43NR7XL21wu4li3EdkDlOdw9+BpnyxBPMODxxzlquzpPjFmwgzsm5+OfjS5TCr5k4N92xD3gGGfPUxNV9dniumq/gQ9TVL9dVyP99F4INFt7PriY7OYqnidOsbuBXXYx5nptU6EFaOzw8ea6e81xFbC9zbi6Cfjx+W9Odix88LHWc7ifo39DmPBVwwcxxIr3ZIPHLtQfBHi8GQ3T2jp7emYwYghnjtD+Bb1XteUrggq0cHvhVbfY81VnL0L7vQTAhdosEEwKIBBMCiAQTAogEEwKIBBMCiAQTAogEEwKIBBMCiAQTAogEEwKIBBMCiAQTAogEEwKIBBMCiAQTAogE2yXXh8OL463PvxwOb9OFETNIsF3y8U1fqduBboIJCbZPHg6Hb39vvv/7x+P3ggwJtlOKncSX9XfaQWRGgu2UYifxm1+r77SDyIwE2yvFTuJ3fz5XplVfBSUSbK+Ue4blTuJ1uyVr7jv0fCvXQg7tvmTxw7fF4Vq1P1k/8PhEgUKC7ZZClsKQh+5YrNpZrGl2Ga/b29UaSCHVvzc3HgY/EEAk2H4pD74Ka7oN1m2z8WpPkt3W7pWbsfJ2udUqjPz8X6Wa1QN19IZHgu2X0ph/HPfzCm0aXW6rOwux6tvNUdpxtfG23XJdaxOGRoLtmOqIqreD2NpSqPSiXAVp3Ctulj9pvjy3AooYSLA9c9tb0aitqrkeLixet4I19z4MVkIEEgm2Z4pNWLcBa1YMz1YvqgXDRrDWwGb14+VZQREaCbZnFgR7GNzsb+KqnUst1EdAgu2ZE8GGS4L1ua5yYeP6TLDjj3WRFRYJtmf6gvUX7Ctuu33AUcGah+hYDIsE2zN9wXqXdFSuHYUrtm0DwQYHY1qnxyLB9sxAsPb0cXXs9ba3Rbs9PQa77S3gawuGRYLtmYFgpUiVOM2OX3OdRrX4Ud5/FKx9u6be6IJHgu2ZoWDHaxHby+ybW//XXuD74vi8g1bqoyDB9syJYKcXyV83K/T1AuNgkeO2f1GwwCHBhAAiwYQAIsGEACLBhAAiwYQAIsGEACLBhAAiwYQAIsGEACLBhAAiwYQAIsGEACLBhAAiwYQA8v820wOXb9e5FAAAAABJRU5ErkJggg==" width="432" /></p>
-<p>La pendiente de los ataques para <em>Europa</em> es -57.4 mientras que la pendiente de las certificaciones es 1209.4.</p>
-<p>Todas las pendientes podrían representar la relación que buscamos, en la que un aumento en las certificaciones produce un descenso en los ataques.</p>
-<p>El análisis puede aumentar en profundidad estableciendo superficies geográficas más pequeñas y asi obtener más precisión, observemos lo que ocurre a nivel de paises. Se mostrarán a continuación los paises que superan aproximadamente un 2% de los ataques/certificaciones totales ya que la lista total de paises es demasiado extensa.</p>
-<p><img 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" 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" width="432" /></p>
-<p>Como se puede observar en la parte de certificaciones destaca de largo Japón sobre los demás, que se encuentra bastante bajo en la lista de ataques. Y al reves pasa algo parecido, en los ataques destaca Estados Unidos por mucho mientras que ese mismo pais está muy bajo en certificaciones. A continuación observaremos la evolución temporal del top 3 paises en ataques recibidos y en certificaciones obtenidas, varios de ellos coinciden, tenemos por la parte de las certificaciones a <em>Japón</em>, por la parte de los ataques a <em>Estados Unidos</em>, y común a ambas <em>Reino Unido</em> e <em>India</em>.</p>
-<p><img 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" 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" width="432" /></p>
-<p>La pendiente de los ataques para <em>Estados Unidos</em> es -59.8 mientras que la pendiente de las certificaciones es 210.3.</p>
-<p><img 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r6ULkwGflGwsGYBikoxHGZWr2uYHPziYt+wZgGKSjEbZnpu/jZMFn5RsLBmAYpKsRpmSa+eYKkizUHBgpoFKCrFZpjF4asLk4df2oI13/yAuB4GaRagqBSTYTz0Kg8ND7kcIGoLdl1P/8z1EgrmwGAYH70eu10qRaJllC80X4m+7hfSLEBRKfbCbNEvVcE+vWi9uufnIgZjLYyXXle/KFi52LezqnAt9kEipFmAolKMhfHzi4L1+PZb77jwnp9NH4ipMJ56UbA+g/vB+O0qoVgK4+0XBaNgsbATxl+v/OY4eIgY1ixAUSlWwvhcWu7Izi9OcoQ1C1BUipEwoXq1f+YCp+mDmgUoKsVEmODhCxlGBC80BzULUFSKhTASvUz0jKdgXCq1gv2HCdGrf2C4/57hYt8E7D6MbPgChRHD21WCmgUoKmXnYaTDFyTMCihYULMARaXsO4x4+EKEWYOKYF9el5/Awc/kWMWew6wYvuKHWQcFC2oWoKiU/YYRzc2jwqyFggU1C1BUym7DrBu+IodZDc/BgpoFKCplp2HWDl9Rw0Rgv4KRLdLp5fPi0i90oE3AEQzAHsOsPjqMGSYOqrer9E67uJo+lB2GiePXHnvmtmqoYCdOcgSyuzCR9Nphz0xVnRdsNIHIWUQBewsTza/d9cxk1XnBBuvoQct9Ic0CFJWyrzDx9NpbzziqLgh2O4RFX+8LaRagqJRdhYnp1756xlV1QbBaMuD3W1KwpKwLE1WvXfWMuyoFQ7ObMEGXln0+EGA3PTNX1UMwMJBmAYpK2UuY2Hrtp2dmqwYL9uU/OYsYxD7CRB++1oRBoCvYidP0YnYRBqDXTnpmqaqPYM3nBVAwETsIE6SX/8ex7aBnlqv6CDa8GPYmrl8ULCWiMJDhSxoGhaJgxQD2w++Xp/IK85fX/Ni2ULYeBjR8ycLgUJ2mL62qJ+u//cYPHg1k42FQw5coDBBVwUqpGrWeuFQqkE2HCdYr5MOwN90zvlW9BbucqrOvL695u0oYGw6DmJsXhwGjL9h9dfoVf1kHpFmAolK2Gwar15Z7JqCqh2DN1xfVt1ry+8FC2WoY8PAVFgaP8jT9s+o7Vn4uZeMhYhgbDQPXa7M9E1bVR7DynpV//dlebuYkRxibDIObmxeESYLqUqmn6jawJ8hCDgqWEs8wCYYv/zBp0F2L+O23ctwqR7L4368CaRagqJTthUkyfPmGSUU2q+mjA2kWoKiUzYVJM3x5hkkGBQtqFqColI2FSTV8eYVJiK5gX15XSxCf4q9EpGBJWQyTbPjyCZMS7UmOZ83f8T89ANIsQFEpWwqTcPhaDpMWTcE+vWgmN+45ixjOdsLgLy0HhEmNpmCnQ3toWF4Li32UCGkWoKiUzYRJO3wthEmO/lKpVjau5AhjI2FSD1+zYRTQX+xbw7WIoWwjTPLhay6MBhQsqFmAolK2EEZDr230zOqqHoIVh4jXz+F44iFiIBsIo+PXFnpmfVUPwfpfWVTIxsW+YWQfRkmvDfRMjKo+gpXT9PUY9sRPlQom9zBqfmXfM1Gq+gg2+NzR2AMYBUvJTRg9vXLvmUhVvQTrGRbdLwqWklGYsLn5yH5l3TPRqvoJ1ioW/2YVCpaUYRhVvbLumXhVfQXDAWkWoKiUbMPoDl+PGfdMzKoUDE2uYbT1yrdnoladFezL63KCfvQ1srzQHEaeYcL0gviVac9ErkrB0GQZRn/4esy0Z2JXpWBoMgyTw/D1mGXPxK86K1gSIM0CFJWSX5gshq/HHHsGUHVWsMGNKhRMRm5hMhm+HvPrGUjVWcEQXwdGwTS5XHIZvh6z6xlMVQ/B4n/fAwXTIlwvnF959YyWYD/+TcHWkVEY9UvLQzLqGa1JjtPhllvbPr89Ho+//lVvfH1fbLy7LG1QsPTkpVdOPfOoJVh5o8qiYHfHmnedbMfjy3/mNyhYcjIbvh7z6ZkKpWn6CcPGgp1rte6Ov/xRjVKvKpfeXeY2KFhystMrm56pUf1MjtlzsLtGmbtSoHM9Qn1+Wx4xujcoWGI6vfzCJPErj55pyVaw7x/LketSGvSqs+37x+OHuQ0KlparXz5h0uiVR8905L+SoxSss+2h0Mm9QcGS0js69AmTyq8MeqZH9msRq6Hp6/vmAPChsM29UfNTTbjKJITnveHLg/ItBieyyxrBHspzrE6jc9+pm40aCpaCML3oF5QVgp2bScQAwRogAzOgqBTVMOO5+YUwyY4OKwy8TQuC+VP7RcEm0AxzMzc/HyatXxbepliCPdR+hZ2DUTAwE5e+5sIk1svE2xRHsO8f24VSnEW8RS3M1KXlmTDJ/bLwNnkJNrgOdn/70W2FX936p7v6Kld76cu1QcHgTK/ccIZJr5eJtylcsNPNJEffL67kuEUljGvhoSuMhl8W3qYlwUYTiJOziA/99btci3iDRhjnwsPpMCp6mXiblgSrvpV5xOjDs6ubUI7dQvnzsbdm3r1BwYDMrJufDKPkl4W3aVGw2yFsfAp2Pg4E4/1gY5KHmVs3PxFGSy8Tb9OiYLVkvKN5BYnDzN+WchtGzy8LbxMFw5M2zMJtX+MwinqZeJu8BLucKNgKUoZZvKtyFEbVLwtvk5dg4A9vgzQLUFRKwjCLfg3D6Opl4m2iYHiShVnWaxhG2y8Lb5OXYJcT5Iv3KFhUZubmJ8Oo62XibfIT7HIf/RsfKFhkvPTqhcnALwtvk5dg/HaVVaQI4zd8XbXKQS8TbxMFw5MgjKde9UdhH3Lxy8LbRMHwwMP46vXYexPBkfww8DZ5CQYG0ixAUSnoMJv1y8LbRMHwYMN469UXDBkoAANvEwXDgwzjO7lRQcHm0BbsdDj88PvlBLjiDGkWoKgUYJgQvSjYPLqCVbeF/fD7t98AF8QgzQIUlQILEzR85XcGZuJt8hSsvu3yh9/L+cToizogzQIUlYIKE67XY15+WXib/AT79KIYuL68Lg4RS8PeULAgMGEEej1mcwGswcDb5CfYqf4i2UKwS3GQ+Gz6RRTMASRM8OQhMowUA2G8BCukenNpBLs88UJzIIAwUr323zNyVFdylGo1gn16QcHCiB4mYHLj5pxr3z2zBgoW1CxAUSmxw6zQa+c9s4pcDhEnPtmXgs0SN4z38DU9Y7jjnlmJ7iRH9SVGpWCfXnCSI5CoYdbpteeeWYvyNH15DawQ7L5az0HBQogYJkgvdJj1GAjjJ9jg832jL5aCNAtQVEq8MH5+zV5N3mnPRCCDpVIYvyiYJxH02mnPRCGDxb4HwDopCuaJ3+TG4lKoHfZMJLQFwwFpFqColChh4ui1x56JBQULahagqJQIYXyGL7+FvHvrmXjoCfbUXln+8jr2DD0F8yKaXrvrmYhoCdZbP//pBWKOg4It4KtXkjBRMRBmUbDqE6Uaq57KtzH+IAZpFqColJVhlv0KuclrTz0TFyXBysnD7gawvm0UzJdVYRb1CryHcj89ExsdwapbLXvbT/E/FpGCzbDkV/AtyrvpmejoCHY/Xhl1H38IgzQLUFSKPIyXXqnCADAQZkGw2/uXeUdzMNIwC3Pzss/X2EXPQFARbOKbweJ/0QqkWYCiUoRhEHrto2cwaAk2/ogbfmRAKKIw88OX/MOhtt8zKChYULMARaVIwoD02kHPwNA6B+Mh4lrCw8zptfKjDTfeM0B0ZhFvvzw2/tfJQpoFKColOMyMX6s/OXTbPYNER7Cn8TT9pxecpg8kMMySXknDYDEQZkmw4iRsMGAVx4z8yIBAgsK4JzfifOz1dnsGjdJSqfvB0o3Cr/iLESHNAhSVEhIGrNeGewaOkmClUq1i1VJEfrtKKP5hnMNXJLuCwiTAQJhFwWrDrsT3i4K14PXaas+kQO+GS+hHSpGWTq/h03W/60QisXG8kU+w0asE8nsDUFSKX5jp4SvWqVdgmEQYCOMnGBZIswBFpfiEmdErfZhkGAhDwfAsh5me3ADotbmeSQgFC2oWoKiUxTBTekU/NvQNkxIDYSgYnoUwU8MXSq9t9UxaKFhQswBFpcyHcemlEiYxBsJQMDxzYW71wg1ei2GSYyAMBcMzE+bGL7Be2+mZ9FCwoGYBikpxhpnWSymMBgbCUDA8jjA3kxsJ9NpGz+hAwYKaBSgqZTrMSC/4seFsGCUMhKFgeKbCjIavVHptoGfUoGBBzQIUlTIRZkIvvTB6GAhDwfDchNHTK/ee0YSCBTULUFTKOEzfr3THho4wqhgIQ8HwDMOo6pV1zyhDwYKaBSgqZRCm51d6u8ZhtDEQhoLh6YW56qUweI3D6GMgDAXD04W5zs1r6ZVrz+QABQtqFqColDbMUC/lMFlgIAwFw1OHGQ5fymEywUAYCoanCpOHXjn2TC5QsKBmAYoKKY3KRa+8esZCGAqGZuSXdpyMesZEGAoGJi+9cuqZRxNhKBiWnl7PM9Aro54pMRCGgmE55KVXRj1TYiAMBYOS2fD1mE/PVBgIQ8GQ9CcPtbM0ZNIzNQbCUDAc+czN98iiZ1oMhKFgMLL0K4ue6TAQhoKBGK6b105zRb9nehgIQ8EgXCc3MggzgGFcULCgZgGK+tPXSz3MEIZxQcGCmgUo6svzoV8WdiMhBsJQsNgcRnqZ2I2EGAhDweJyq5eJ3UiIgTAULCaHKb8s7EZCDIShYPGY1svEbiTEQBgKFov+unn1MG4YxgUFC2oWoOgcB9fwpRFmDoZxQcGCmgUo6mRw0/KNXxZ2IyEGwlCw1RwOc8NX4jCLMIwLChbULEDRSRb1MrEbCTEQhoKtov4I0Xm/LOxGQgyEoWAr8NLLxG4kxEAYCiam+QDsRb8s7EZCDIShYEK89TKxGwkxEIaCiRjrNeeXhd1IiIEw0QT7+v5V+/DuWPChfbp4/O4ysbFhwdpvR/HSy8RuJMRAmGiC3R1f9SwqqDY/v60ev/znZmOzgh1u9Frwy8JuJMRAmFiC3TVGXb5/rMaoh+Mvf1SyvarEencZbWxVsOs35/nqZWI3EmIgTBzBqrGpFuzcjFAP5Xaz8fntr3+NNrYp2PWb8/z1MrEbCTEQJopgD4Vd51qwYgD7cP3BXT1a1U8ONrYoWO+LKUP8srAbCTEQJo5gxeFgI9jX973x6fvH8jixMvDdcGODgkn1MrEbCTEQJopgJed2VuPlP+fieLGSqbOtPF4cbNT8VCP+PxNS6VU/vE5u6EYiGySGYP9TzyK+6wl27gt23p5gPb0u1IvIWS3YuZntOJdj2JJgDZCBOWKx3sGh/9w8KsxaGMbFNg4Rz+2V5IexU1sVrK9X6NlX9DDrYRgX2xDs89tmKqM8GVs6B9uAYOv1MrEbCTEQJr5gjUblg63PIh4Gekn9srAbCTEQJrZgnUblCHa5qy95tdfBehsbECySXiZ2IyEGwsQWrFuTWI1TG17JMbRLNLkRL0xEGMbFRgRr1hqet70WcaTXiuErQpioMIyLjQhWTdR396s0G/XyxMFGzoI59RL5ZWE3EmIgTHzBypOs47E9DNzg/WBjvdYNXyvDRIdhXGQu2AogzZL+y+h6mdiNhBgIQ8EG3OgVwS8Lu5EQA2EoWA+IXiZ2IyEGwlCwjhm9VvllYTcSYiAMBas53OoVZ/iShEHCMC4oWFCzgl4+q9davyzsRkIMhKFgU8eGj/GGr9AwaBjGBQULapb3S9F6mdiNhBgIY12wSb3i+mVhNxJiIIxtwVLoZWI3EmIgjGXBpvWK7peF3UiIgTB2BUull4ndSIiBMFYFW9Irol8WdiMhBsKYFGzqslcFQi8Tu5EQA2EMCrasV1y/LOxGQgyEMSeYyy7U8DUbRgGGcUHBgpo1/byCXiZ2IyEGwpgSzK0X0i8Lu5EQA2EMCaakl4ndSIiBMGYE89EL45eF3UiIgTBGBJvRCzx8TYRRhWFcULCgZvW3vPSC+WVhNxJiIIwBweb0wg9fjyZ2IyEGwuxTsKtSzqvKFSn0MrEbCTEQZpeCdVbN65XILwu7kRADYfYo2KGP+2WJ9DKxGwkxEGaHggXqBffLwm4kxECYXQs286J0epnYjYQYCGNTsITD16OJ3UiIgTAmBUuql4ndSIiBMDsU7HHBr8R6mdiNhBgIs0fB5mfnk/tlYTcSYiDMLgV7dPuVXi8Tu5EQA2H2KZirs9JObiyE0YFhXFCwoGZNPauil4ndSIiBMIYE0xm+HGHUYBgXFCyoWTdPaellYjcSYiCMFcH09DKxGwkxEMaIYJp+WdiNhBgIY0IwVb1M7EZCDISxIJiyX/CrFf8AAAafSURBVBZ2IyEGwuxfMG29TOxGQgyE2btganPzU2FygGFcULCgZtV/Z6CXid1IiIEwuxYsh+Hr0cRuJMRAmD0LlodeJnYjIQbC5CAYhk4v7SCEdOxnBMtl+Ho08XtaiIEwOxUsI71M7EZCDITZqWCXjPyysBsJMRBm14IBCkswsBsJMRBmr4Jd8vHLwm4kxECY3QoGKCqFYVwYCEPB8DCMCwNhKBgehnFhIAwFw8MwLgyEoWB4GMaFgTAUDA/DuDAQhoLhYRgXBsJQMDwM48JAGAqGh2FcGAhDwfAwjAsDYSgYHoZxYSAMBcPDMC4MhKFgeBjGhYEwFAwPw7gwEIaC4WEYFwbCUDA8DOPCQBgKhodhXBgIQ8HwMIwLA2FyEAzATz9pJ+jBMC7shaFgABjGhb0wFAwAw7iwF4aCAWAYF/bCUDAADOPCXhgKBoBhXNgLQ8EAMIwLe2H2IhghWULBCAFCwQgBQsEIAULBCAFCwQgBQsEIAULBCAGyPcE+vz0ej7/+VW98fV9svLv+8Ov7V44N1TCDl2UR5t3Nv9YJU7/05T85hKl+EPuN2pxgd3Un1D1UddzxeH1/7o6v+i9FC+YZZvAy7TAPgL1IHKbk+8cjWDDPMM1PbAt2rrvp7vjLH9WvnFdVv7R7btGT13dusKEZZvAy7TDFcx/an6uHqXg4ggXzDXNG9MnWBLtrOqb6tXOu35nPb+vfOdVvoMGBEFgwzzCDl2USpv2Jbph2EyuYb5g7xCHGxgT7/rEZBarfNk2PFMcYxS/l8jfhq3PvQOgV5DdSeJjhy5TDtHx9jxQsIEzx7L+x52C+YbrXRWVjgnWUvdL1yEPVaQ/F1lWw/oZ2mN7LcgmDn1jwDFMMK4myLIX5+v7l/72NfnK6UcGqX0Ddb+GH7v0a7EapBPMK0/3SzCJMfSaWQZjyiC2RYEth2jmOuD2zUcEeyiPprrPOuoJ5hWlelkWY4rweOt/iH+br+yJIIsGWwjRzIZ/fRu2bbQp2biaEshDML0zzshzCFL/KU1wJ8wlTnRGlEWwxzEP3d8yu2aRgzb6ah2DeYdL55TGcpjhGXA5TD+pJBPPumchxtijYQ7OvZnEO5hnmIYlfvj1z6aarVcM0R2MpBAvombhXMLYnWHGA03TAaEaoJLVgnmGuL8sgTA16r/YJ0ywqwS8sUeyZzQnWX1hzVx/m9KbnEgvmGQa/GMg7TPcMWDCvMKkE8+wZyOXKrQk22FdHV+UvqQXzDJPer5kwd93pD7JzQt6mFIOpX8+0Cz5inp1uTbDBXPfNurLEgnmGSTg/vxymmd0Az7mEvE1wwUJ7JmqajQnW3lHQLIc+Xx/WJBXMM8zoZbphup9AJxGD3ia0YN5hIPcZbEyw83HQWTf39iQVzDPM+GWqYdqfwNev+79NaMECeybyPrMxwQjZFhSMECAUjBAgFIwQIBSMECAUjBAgFIwQIBSMECAUjBAgFIwQIBSMECAUjBAgFIwQIBSMECAUjBAgFIwQIBRsw5wOh2fXrW+/HQ5v9MKQSSjYhvnyuq/U/UA3kgcUbMs8HQ7/+rN5/OnF9THJBgq2aYqDxJ/rRzxAzBMKtmmKg8Qffq8e8QAxTyjYtikOEn/8+1KZVv1NMoOCbZvyyLA8SDy1I1nz3KHnWzkXcmiPJYsfvilO16rjyfqF139I4kPBNk4hS2HIU3cuVh0s1jSHjKd2u5oDKaT6r2bjafADAoGCbZ3y5Kuwphuw7pvBq71Idl+7Vw5j5XY5ahVGfvvvUs3qhTx7Q0LBtk5pzH9cj/MKbRpd7qsnC7Hq7eYs7TrbeN+OXCcOYTgo2Oapzqh6B4itLYVKz8pZkMa9YrP8SfPXpRWQYKFg2+e+N6NRW1VzGk4snlrBmmefBjMhBAMF2z7FENYNYM2M4c3sRTVh2AjWGtjMfvx8U5DEg4JtnwXBngab/SGuOrjkRD0UCrZ9RoINpwTra13lxMbpRrDrj7nICgUF2z59wfoT9hX33THgpGDNS3guhoKCbZ++YL0lHZVrV+GKsW0g2OBkjPP0KCjY9hkI1l4+rs693vRGtPvxOdh9bwKfIxgKCrZ9BoKVIlXiNAd+zTqNavKjfP4qWHu7Jm90QULBts9QsOtaxHaZfbP1v+0C32fXf3fgTD0YCrZ9RoKNF8mfmhn6eoJxMMlx318UTBBQMEKAUDBCgFAwQoBQMEKAUDBCgFAwQoBQMEKAUDBCgFAwQoBQMEKAUDBCgFAwQoBQMEKAUDBCgPw/i5MnmAAj6xsAAAAASUVORK5CYII=" 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" width="432" /></p>
-<p>La pendiente de los ataques para <em>Reino Unido</em> es -11.8 mientras que la pendiente de las certificaciones es 320.4.</p>
-<p><img 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" 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" width="432" /></p>
-<p>La pendiente de los ataques para <em>India</em> es -8.7 mientras que la pendiente de las certificaciones es 268.3.</p>
-<p><img 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" 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" width="432" /></p>
-<p>La pendiente de los ataques para <em>Japón</em> es -7.4 mientras que la pendiente de las certificaciones es 262.4.</p>
+<p>Se puede observar que en conjunto la pendiente de la tendencia de las certificaciones es creciente, mientras que la de los ataques es decreciente. No obstante, se procederá a comparar cada continente individualmente para poder observarlo con más precisión.</p>
+<p><img 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" width="432" /></p>
+<p>Para <em>América</em>, la pendiente de la tendencia en las certificaciones es 275.2, mientras que la pendiente de los ataques es -100.8.</p>
+<p><img 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" 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nRse+NIsCQQC1avceTT1KfX1dngVXb11dso+brE820iEOsuxSzZFJY6gkDhOrS35UL83Vk2XzVO3XYFu92HYCQjmySGAOA6tPX8lJ8ILglWAZqNnz7d8u8Dn5u5uwRdhZGdk5HFYT5FrLk7e/ZLasG2KBZ4WPu7lGAJ2IVg3/28dA0GFexpifOfhx7WEmwWsjj7EOzZL0lXEZ8+3aJY6FG9RTCEYWQjmiwOsWCNRsWJ4EV5y6u+D9bZiCiYx7Hgg3pDlxIsPryCNQ9yFDolfZLjqV+x8GN6k2AAw8hGNFkcZsHuzooJqrQp8bOIbsXCj+gtXUqw6BALll1idd6tcnvsPEDf24ghmFcxwIiWYLOQxaEWrHzX1/PuRsr3g3kUIxvQiHNEshFNFodbsNWAemk+XOsY3YwhwWIjwQy9dDbWKUa3ageYwshGNFkcCWbppbe5QjHCZXEJFhkJZuhl8AmrYoxPToSfwshGNFkcCWbp5eRTT02OYd6AtbFLCRYXCsFusp+rL/ck2LVlGgO9w1GCzUIWJ7VgN7lYuV+Hwzf7EmxZMc53EAc/RyQb0WRxEgt2nnv1+w+FYF+825lgC4qxvkVfgkUlqWD51PXV/V//dPjyL799n320N8FmL8ZYf4tT6CmMbESTxUkr2Hlx6XV5KM8Tv/zL/gS7npzGeH9NmgSLSUrBsnPDl4Vmf/jpPpvH8v/uULBxxYh/VbUEi0lKwX77Pr/uqk4OdyzYmGLEf80k8Dki2Ygmi0Mg2E25gLhrwU4uxqj/XJAEi0j6U8TLcv3wfK/XYA0rnqGKEWeasFMY2Ygmi5N6kaNYPszNugxyIwzUi/WVURQL0KUEi0fyZfriFnNm2R7vg50SQbEggqX/YxQoyOKkFay8xZxde+UfhHhWCtTLmlfDFQvRpQSLRuJHpc4P5aXXeYAVDg7BrtGOSbBZyOKkFiwwoF5W/oMDVLEwgqX+i5swyOJIMEsv615fDF6cYkG6lGCxSHof7D+6W7//657vg3Woxi5KsUCCJf6j7DDI4iS+0dxZmb857PpGc0s7dJ9CHAvTpQSLRFrBmqXDfJ3+YQjWH7kAxSTYLGRxUj/JURl2eQjznmZQL2tePRy4wRULJVgow8hGNFmc9PfBXuaPIRbvCwsAqJcVLx4Zt4EVC9SlBItD2lXEzLAv3p0fgpwekgg29smgF2PBBAtkGNmIJouTepm++nUBQX7jDYNgk6M2nGKhupRgUUh9Hyw3LMjZIYlg018KpZgEm4UsTnLBcsMCnR8SCDY/aMMoFk6wMIaRjWiyOIkEy1flT9j/Mv3ikA1xMRasSwkWAwlm6MX6SsuI3axYQMGCGEY2osniSDBLL8YXGgfsRsXCdSnBIpD8GiwooF6MLzSP102KhRQshGFkI5osjgSz9GJ73ZrhukGxgF1KMDwSzNCL6WVrR6vXMQk2C1mc1IJVD9TfBPnTD4kFW13Yp1hQwQIYRjaiyeIkFuymust8E+hhKVAvlle5xqpHsZBdSjA4SQXLn/ItfiXHZaDHEUG9WF7lHKrrFQsr2HbDyEY0WZy0gp03vwwxf2Jq178X0T9S1958DtqlBEOT+P1grVQ7/82+mwbqKsUk2CxkcRK/o7nzy0b3/bvptw7UFYoFFmyzYWQjmiyOBLP0sviSABOBWbGwXUowMIlPEds3gu32D/DlBHnmyHgxFlqwrdnJRjRZnNSLHM2slcm2xz8hWxLs7fcWxQJ3KcGwJF+mL+ewm13/0puAv4h6WbHggm1MTzaiyeIkvtF83nmYPtz7mmNzCPokWE+xkIUnCJteJGHujz+E9Av0w2LhBaH/muX8xVjoLjWDQUn+sG+pWIAFjmSCIf5c7Ixi4QXblp9sRJPFSS9YUEC9zH4Z9OeYJxUL3qUEQyLBDL3Mfhn2584nFAMItqkFshFNFodIsN/+cZc3mkETWMGoYuG7lGBAEgvWXUbc55McQL9yTh2TYLOQxUkrWPV7ffcsGHICKxkqhhBsSxNkI5osTlrBLnu/VWqPN5rxfl0PFQN0KcFwJH4W8Yt39zf5LbDfvg/ySwNAvUx/LYZf1wPFEIJt6INsRJPFSfw0fW7Vb9/n54a//9B5sn43gkWZwArmbz5vRYLBSP92lUqtmz0+7BvNrxygYlumMLIRTRaHQLD78+Lq67fv9/d2lXgTWAlOMQmGgkCwy+LyqzxT3JlgkO83B0oxCYaC4HdyXBZPIu7wHc2xJ7ACjGIbzhHJRjRZnOTL9F8V7wr7Jpdtb6eISfzK4yAck2AgkgqW/5GVP/xU327e2yJHGr+KOOEV809hZCOaLE7iR6Vuijeq3IR6kCOqYIkmsCpOcMUkGIbEzyL+/kM+b+UzWZB3hIF6Gf10Ir+aOIEVk2AYeJ6mDwGol7HPpprAOnGC3nx2nyOSjWiyOBLM0svYZ1P51Y8TUDEJBiHtfbDOddflvlYRk01gwzjBFPNOYWQjmiwOj2Dnu3q7Sjq/TuOEUkyCIUgk2NhfQd+VYJDvZGIkThjFnFMY2Ygmi5NsBrs8FWxH98ESTmATRyyEYxIMQCrBTqewEOv0oF5OPpXQr8kjtl0xCQaA5hosCKBehp9JOYHNHLGtivnOEclGNFkcCWbpZfCJpH7NHrGNikmw8Og+mKGXwSeS+rVwxDYp5prCyEY0WRyeGWw/98HSTmDLR2yDYxIsODSC7ec+WFq/LEfMrZgEC47ugxl66W0mnsBsR8ypmOcckWxEk8XRfTBLL73NxH5Zj5hPMQkWGt0HM/TS3Uo9gdmP2FOHY44pjGxEk8XhuQYLAqiXzkZyv1YdsfWKOQV7slPWNrseCWbopbOR3K+VR2ytYj7BnjwJexyjgXeM5j7Y7z/sYZEj/QS2+oitU2z9OWI+SjcfuHQ8EsEud7KKmN4vxxFbpZhHsM3HLSVgwxgEqxY8diAYwQTmO2J2x1ZPYTv3C21YesGqv8EX4m8/4AWDfIN1OLs0KybBgpJYsJtqjT7E3y66hwvGMIH5j5hRsbVTmASb3z0JBWv+wGUgvdCCUfi15YjZFJNgIUknWPUsxxf/+cNuBIOUX8umLi2KSbCQJH4W8WXzJyCCAOql/D/HBLb5iC06tvIcUYLN754kgpV+lV7tRzBI9dVs73JJMQkWkFSCtYuGexGMZAILcsTmFVs3hUmw+d2TcAYrH+/diWAsfgU6YrOKbRLsRfGQ3x/rzQ9P/ibEXx2Y49fm0cI/V59524vQ5+OTJ/0brg9RsObu1zf7EQxS20GoLp9OO7ZBsLfNYK/GdwTBPg4Ea4R7OfLi//vbxyFYs86xtIp4d/bsl+KDT6+Px+Or6rO9jRZQL9dEE1jIIzal2KpzxJ5grV9PKrEiCPahL1iuUMXIwwt5wsch2L3pNvPn98dSsLuzY87IRgdQL9dEE1jYIzahmFewX5tp42P9UQTB3vbPBj9UCr0YO0ssZHw0grX3micVu6o0yqas54VYr4YbXUC9ME1goY/YqGJrprCuYG/bwZvNI4VZEQR70T8XfFF/x7dDlfKfAH/zb49KsPviTzRPP4uYT1WFYLfl/+7Ovvt5sNEF0UoejmgCC3/ExhRzC9bOGR/KgYwX7NfBqeCL9vLvRLAXT96dfPahC3Zfr3iMPE2fnSD+S3kNdlHOVtkn3gw2ugA6qc5iAZWdILo8cWxFx33BTmxqBXvbXpjlI/3P5enay84/7ny9ol0gnFq0OF0WfNvOYMM0b7MSj1Gw+s+hn3z64vi8XOT4/P7bH4vPXGVu9TZ6hG/k8CgEO1XMJ9iHkwucRrBmqa9c6csEe9tdC2m/3rtusgiWf4fupdXHqubbdtn+vv7KH0fmtUchWMblqWD5qWAp2KfX1dngVXb11dso+brE8G3W0f5OnuCl2egpdr+i4e4q4osTRyrBPrYrDy/rF/6x+HL56tqKD/1/bREsm6j+tncbbOByQ3ZZ+NOYYOZOefENz0+vs5lqINhtV7BbCRaSnmL2jrsDtF0irzWpBBuuPDRLfB+KK6js31X/4OPo4vocL1oD/9xLMaxTLoZIsIbiUssmWEXwmbgVLHhpL8jfSzZz83k6T3+ADu/6loK12mSDP//Ci2aYF2sSneuot1OPYEzQ3Dn+tT5LbI3rmfShTPRoTxFPuCrWCiXYAPAv/lut2OkM8GvXsFKwzqguF/le9Ke4tyGerfq1PImsJ8fBBeGvzZ1vCVZwd1YsZdiuwSrCN0LnF/43a65UbPwU62N9jlb60lnQKz980VwgFQO+c5rX08JyDdZST4bttVh7FZZNdO/a79flsQp2dWz47udkq4jXbH7F+NW1qxSbuob5UA7vWrDBDNXeHP7oEqz+B73rrLeDVcLuOv3HXqXuWagEywTLrseKW171fbDORhdEK2R+xfnd0CsU6wjWnxxe9ARbmsHGL7wcgp18qxIJNkH1sG+6JznYftt5rDhWxzqCfRw40Ao2cg3WClZcg7mf9+iV/nPvASkJZqASLPGziEREi3OwKdYRrFnHq0Z0uSperSK+bF5TriJ2n+moFutPrLDQli6XKnvXYCPzoq7B+tRvV7k9dh6g7210APUCKeslXpyDSbHBw761Hi+aO8dT98Fe1uP9XftocLMUuIK6VHWvOl+2r+9Zj91Sk2B9SN4PxkNMwQ6GE8WuYJ23YtWj+/RJjmJ+eVEt47+ttj9Wr/948jjiIh8H37GzXT8k0lVWgm0A1AukrJeIcYrVnSXF+quILwajffpZxH+YeL5p/cXYx/53HD7WKMHCAeoFUtZLbMGuFxwbLtO/7S/vDZ6mry+K8iuv4hM/Df6h6zeov+iY2pZqH/6VYIEA9QIp6yWqYPUNihnFfM/yvRg+iZsOCWYH1AukrJeYcTp3ACcVk2CzSDBDL5CyXuIK1rnHPqGYBJtFghl6gZT1EjVO/yGWp2OOSbBZJJihF0hZLwkFux6bxiTYLBLM0AukrJfIgp08hzlUbO+Cgf8MugQz9AIp6yVunLEHnfuK7f0twY/gbzSHA9QLpKyX2IKNvZWgp1g2B0Q6vAjAfkkwSy+Qsl4ix5l6r07Psd0q9gR8gijBTL1AynqJLtjUu+EGiu0S/P6TYIZeIGW9xI4z83bT2UeoEkF2tCSYpRdIWS9EgjEqRna0JJilF0hZL/EFm/2NCaM3nxNCdrQkmKUXSFkv0eMs/EqSwS8sjRRqJk7qBH0kmKEXSFkvCQSbNSzPQ6QY2dGSYJZeIGW9xI+zLBiRYmRHS4JZeoGU9cIpGI1iZEdLgll6gZT1kkKwOcM6eRgcIztaEszSC6SslwRxrIIxKEZ2tCSYpRdIWS9JBJsxbJAntWJkR0uCWXqBlPWSIs4KwVIrRna0JJilF0hZL/SCpb35THa0JJilF0hZL2kEmzZsPE8yxciOlgSz9AIp6yVJnNWCJVOM7GhJMEsvkLJeEgk2adh0niSKkR0tCWbpBVLWS5o4HsGSXIyRHS0JZukFUtZLKsGmDFvIE1sxsqMlwSy9QMp6SRTHK1hsxciOlgSz9AIp62V3gsVVjOxoSTBLL5CyXpIJNmGYKU+8izGyoyXBLL1AynpJFWeTYNfRpjGyoyXBLL1AynpJJ9i4YfY8URQjO1oSzNILpKyXZHE2CxZFMbKjJcEsvUDKetmzYBEUIztaEszSC6Ssl4SCjRq2Og/WMbKjJcEsvUDKekkXJ5BgWMXIjpYEs/QCKeslpWBjhrny4BQjO1oSzNILpKyXhHHCCYZTjOxoSTBLL5CyXpIKNmKYOw/m5jPZ0ZJgll4gZb2kjBNUsGvINEZ2tCSYpRdIWS8PSTCAYmRHS4JZeoGU9ZJWsFPDtuYJrBjZ0ZJgll4gZb0kjQMQLPDFGNnRemCCCTDZFAap21MM8h0eNprBwpE2zukUFihPqFmM7Gg9sBkM1AukrJcHKlgoxciOlgSz9AIp6yW1YEPDAuYJcTFGdrQkmKUXSFkvieMgBbsOMI2RHS0JZukFUtZLcsEGhoXOs1ExsqMlwSy9QMp6SR0HLdhGxVLvniESzNALpKyX1HGGUxgizwbFUu+eIRLM0AukrJfkcSIIdu13LPnuGSDBDL1AynpJHieOYF7Fku+eARLM0AukrJfkcQbniMA8HsWS754BEszQC6Ssl/RxognmUSz97ukjwQy9QMp6SR+nP4WB86y9+Zx+9/SRYIZeIGW9EMSJKdj1ymmMYPf0kGCGXiBlvRDEiSzYKsUIdk8PCWboBVLWC0Gc3jlinDxmxQh2Tw8JZugFUtYLQ5z4gpkvxhh2TxcJZugFUtYLQ5zuFBYxj0Uxht3TRYIZeoGU9UIRJ41gFsUodk8HCWjtqXsAAAyISURBVGboBVLWC0WczhQWOc+SYhS7p4MEM/QCKeuFI04ywZYuxjh2T4sEM/QCKeuFI05Cwa5npzGO3dMiwQy9QMp64YjTniOmyTOpGMfuaZFghl4gZb2QxEks2KRiJLunQYIZeoGU9UISp5nC0uUZVYxk9zRIMEMvkLJeWOKkF+x6zDGW3VMjwQy9QMp6YYlDIdipYiy7p0aCGXqBlPXCEqc+R0yep69Y8jgDJJihF0hZLzRxWAQbKJY+Tg8JZugFUtYLTZxqCqPIM3/zOSUSzNALpKwXnjhEgl0j/676JiSYoRdIWS88cbgEI1VMghl6gZT1whOnPEfkyUOpmAQz9AIp64UoDp1ghBdjEszQC6SsF6I4xRRGlCdn8NcyU8eRYJZeIGW9MMWhFIzrTFGCGXqBlPXCFCefwpjyXNe7h0cxCWboBVLWC1UcVsF4LsYkmKEXSFkvVHF4BbsmmcYkmKEXSFkvVHGyc0SqPIPdQ6CYBDP0AinrhSsOt2AEikkwQy+Qsl644hwOJ3+0OS0nuyfxxZgEM/QCKeuFK86BzbCx3ZNSMQlm6AVS1gtVnMOBzbDx3ZNOMQlm6AVS1gtTnMOBzrCp3ZNKMQlm6AVS1gtTHD7BZrKkuRiTYIZeIGW9MMU5WIkbaPLLCRSTYIZeIGW9MMUxCxZJwuVS0RWjFuzu7Hg8vqo2Pr2e2pBgybDKEUdC0+siK8Ys2NWx4LufG9mOx2e/nGxIsIQEm3zCToez3yjqxRixYJlFb4q56vl9/b/sU6+GGxIsKcH8Mn+37TNdzGmMWLCL0p+7s3wKuy2nq5ENCZYWojyMihELVvHpda5RZdvn9/ms1tuQYGlhyrNqHoujGL9gd2fZdPX5/bc/FltXmVu9DQmWGKo8rVgsF2P0gtVXYtXZ4FV29dXbKPm6xP9txMMgl6q30d0eoacYPB0Mt2AXx2MxWzVO3XYFu5VgYp5lxx6EYl7Bsqus8n7XkmAVoNkYUtYLWRy2PCNxlk4WoSeK9KeI5TmiBGsgi8OWZzzOwhUZ8GKMX7BiUX7pGkyCJYMsz2ScNY7FyLO1bDjB8mVErSI2kMVhyzMbZ1YyjGK8gjV3uYp1+otyo74P9qb3CgmWELI8S3HmHEMoxitYplF5AlicCOpJjhqyOGx5LHGmJQt/MUYsWHkHLLMpPyHUs4g1ZHHY8hjjGB2Llmd92e2CZWqVvOlslA/Q9zYkWFLI8qyIM+VYUMWYBSvf9VVbpPeDlZDFYcuzLs7ERBZQMWrBVgPqBVLWC1kctjyr44w7FuxiTIIZeoGU9UIWhy2PK86oZGEUk2CGXiBlvZDFYcvjjTPmWAjFJJihF0hZL2Rx2PJsiXMq2XbFJJihF0hZL2Rx2PJsjHPi2NaLMQlm6AVS1gtZHLY8AeLMOpYgz3hZCQaCLA5bnjBxBhPZBsUkmKEXSFkvZHHY8gSL03fMrZgEM/QCKeuFLA5bnqBxupI5L8YkmKEXSFkvZHHY8oSOM+lYojxNWQkGgiwOWx5EnFay9YpJMEMvkLJeyOKw5QHFaRxbq5gEM/QCKeuFLA5bHmCcyrF1F2MSzNALpKwXsjhsebBxqolshWISzNALpKwXsjhseeBxViomwQy9QMp6IYvDlidKnBWKSTBDL5CyXsjisOWJFWeo2JRjEszQC6SsF7I4bHlixrFMYxLM0AukrBeyOGx5IsdZVEyCGXqBlPVCFoctT/w484pJMEMvkLJeyOKw5UkRZ+5iTIIZeoGU9UIWhy1PojiTikkwQy+Qsl7I4rDlSRZnXLH5P5zkR4LBIIvDlidhnBHFlv40mRsJBoMsDluepHGGF2OHhb+Z5EeCwSCLw5YndZyeYgeYYRIMBlkctjzp44wpFvybSDAYZHHY8jDEOVUs+LeQYDDI4rDl4YgzNCz4N5BgMMjisOWhidMVLHx1CQaDLA5bHqI4QL8kGA6yOGx5qOKUgiEqSzAYZHHY8pDFefpUj0ot9wIp64UsDlsesjh6FtHSC6SsF7I4bHnI4kgwSy+Qsl7I4rDlIYsjwSy9QMp6IYvDlocsjgSz9AIp64UsDlsesjgSzNILpKwXsjhsecjiSDBLL5CyXsjisOUhiyPBLL1Aynohi8OWhyyOBLP0AinrhSwOWx6yOBLM0gukrBeyOGx5yOJIMEsvkLJeyOKw5SGLI8EsvUDKeiGLw5aHLM4DE0yIR4lmsHCQxWHLQxbngc1goF4gZb2QxWHLQxZHgll6gZT1QhaHLQ9ZHAlm6QVS1gtZHLY8ZHEemGAQvv46dYIeZHHY8pDFiZRHgoWDLA5bHrI4EmwZskNGFoctD1kcCbYM2SEji8OWhyyOBFuG7JCRxWHLQxZHgi1DdsjI4rDlIYsjwZYhO2RkcdjykMWRYELsHwkmBBAJJgQQCSYEEAkmBBAJJgQQCSYEEAkmBJCdCHZ3djwev/u53Pj0Ott41X7x0+vnYy8jifPq5F8ny1O+9NkvHHGKL0Q5Xtbdc5HHeRP2e+9DsIvyUJT7pdhdx2M7Ti6Oz0delj7OVawBZMyT8/n9ES6YMU71Ffz+MeaphX8+XsXJLgS7LXfOxfHbH4v98LzYT7VGF/U+6b0sfZzsc2/qrzPkKbg6wgWzxrmF75hVebIfPfnnrgKPnl0IdlHtjuKHzW05Qu7Oyp98xU+k56cvo4lTfyV5nnoTLZg1zkWUs2dznuormWFBR88eBPv8vvqhUvzMq/ZX9gMnP1vOfiI/r34U9l+WPE7Np9dgwVbkyT77L+hrMGuc5nVgzKMn9NVXyR4Ea8j3RbO/rsoZPdsaChXv3MMSJ8aqgjVP9kOcJs6n18/+9yzKkpQpD+rn4J4EK37INDuincoHIxr1s8gXp7wS48iTnwVFE2wpTr3GQbJ78v2SXa0Fv37fk2BX+Vlys4tupwS7wq+TmeNchD9i/jyfXmdZogm2FKdae7g7i7SDFvJk++W/EGvQOxLstloGWhDsNtKQtsTJfmpGuhNmyVNcf8QSbDHOVfP/KPtnKc9ttdoRevjsR7Cq8yXB4vplmFAjnSMu5yln9kiCmXdPpECLeW7rH4SPcBWxoL4/sXDRE/o2xsY45XaEEbScpzoXizOeV+we/G0MU57mVDXwDtqJYNm5VrVnButAOe0ha19GEackwpC25KmeK4nx7MQed0/jeWDh9yFY9wGfi/KMq7NW2ByyGM8BmeM0n8GPIFOeeIIZd0+cu5ar8zzGGawnzuBe/H17iFL4NRPnorn2AY8gY56SuLrP7p76AQvwJerqwxV00WUXgvUW3k+eJhtcxdPEqVY38Ksuxjz3VSr0Tlq7e3jyvLp/nKuI9WPO1UPQt+2HJc29+N7LUsdpvoL+CW3OUwAXzBwn0psNEh+uPQh2e+ztopN39HTuZMQQzBin/gp8VrXnyYELtnL3wJ9qs+cp7lqG9n0PggmxWySYEEAkmBBAJJgQQCSYEEAkmBBAJJgQQCSYEEAkmBBAJJgQQCSYEEAkmBBAJJgQQCSYEEAkmBBAJJgQQCTYLjk/HL5qt37/4XB4mS6MmEGC7ZLfvu8qddnTTTAhwfbJzeHwh5+qj//6p/ZjQYYE2ynZSeI35Uc6QWRGgu2U7CTxi3fFRzpBZEaC7ZXsJPHLv9wXphX/F5RIsL2SnxnmJ4nn9UxWfe7Q8S1fCznU55LZF19ml2vF+WT5wvYfChQSbLdksmSG3DTXYsXJYkl1ynhebxdrIJlU/1Rt3PS+IIBIsP2SX3xl1jQT1mU1edU3yS5L9/JpLN/OZ63MyN//PVezeKGu3vBIsP2SG/P37Xlepk2ly2XxyUyscru6SmtXGy/rmetcUxgaCbZjiiuqzglibUum0lf5KkjlXraZf6X6330toIiBBNszl50VjdKqkvP+wuJ5LVj12ZveSohAIsH2TDaFNRNYtWJ4snpRLBhWgtUGVqsf35wUFKGRYHtmQbCb3mZ3iitOLrVQHwEJtmcGgvWXBMt7XfnCxvmJYO2X9ZAVFgm2Z7qCdRfsCy6bc8BRwaqX6FoMiwTbM13BOo90FK61wmVzW0+w3sWY1umxSLA90xOsvn1cXHu97Mxol8NrsMvOAr5mMCwSbM/0BMtFKsSpTvyq5zSKxY/8861g9ds19UYXPBJsz/QFa59FrB+zr7b+u37A96v23x20Uh8FCbZnBoINH5I/r1boywXG3iLHZfehYIFDggkBRIIJAUSCCQFEggkBRIIJAUSCCQFEggkBRIIJAUSCCQFEggkBRIIJAUSCCQFEggkBRIIJAeT/AYSaFyPzKi46AAAAAElFTkSuQmCC" width="432" /></p>
+<p>Para <em>Asia</em>, la pendiente de la tendencia en las certificaciones es 1008.4, mientras que la pendiente de los ataques es -58.4.</p>
+<p><img src="data:image/png;base64,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" 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" width="432" /></p>
+<p>Para <em>Europa</em>, la pendiente de la tendencia en las certificaciones es 1209.4, mientras que la pendiente de los ataques es -57.4.</p>
+<p>El análisis continuará estableciendo superficies geográficas más pequeñas, aumentando así la precisión, para poder observar lo que ocurre a nivel de paises. Se mostrarán a continuación los que superan aproximádamente un 2% de las certificaciones totales y el 1,5% para los ataques (porque <em>Estados Unidos</em> recibe la gran mayoría y si no saldría solo), ya que la lista completa es demasiado extensa. Los nombres serán representados con los dos caracteres correspondientes al estándar ISO.</p>
+<p><img 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" 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" width="432" /></p>
+<p>Como se puede observar, en la parte de certificaciones destaca de largo <em>Japón</em> sobre los demás, que a su vez se encuentra bastante bajo en la lista de ataques. Y, de un modo totalmente contrario, en los ataques destaca <em>Estados Unidos</em> por mucho, mientras que este mismo está muy bajo en certificaciones.</p>
+<p>El estudio continuará en profundidad con el top 3 de paises en número de certificaciones y en número de ataques recibidos, aunque algunos de ellos coincidan.</p>
+<p><img 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" 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" width="432" /></p>
+<p>La pendiente de la tendencia en los ataques para <em>US</em> es -59.8 mientras que la pendiente de las certificaciones es 210.3.</p>
+<p><img 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" 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" width="432" /></p>
+<p>La pendiente de los ataques para <em>GB</em> es -11.8 mientras que la pendiente de las certificaciones es 320.4.</p>
+<p><img src="data:image/png;base64,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" width="432" /></p>
+<p>La pendiente de los ataques para <em>IN</em> es -8.7 mientras que la pendiente de las certificaciones es 268.3.</p>
+<p><img src="data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAA2AAAAJACAMAAADcl/UUAAAAvVBMVEUAAAAAADoAAGYAAP8AOpAAOv8AZrYAZv8zMzMzZv86AAA6AP86Ojo6Zv86kNs6kP9NTU1NTW5NTY5NbqtNjshmAABmAGZmAP9mZmZmtv9uTU1uq+SOTU2Oq6uOyP+QOgCQOv+QZv+QkLaQ2/+rbk2rjk2r5P+2ZgC2Zv+2kDq2///Ijk3I///bkDrbkP/b///kq27k5Kvk///r6+v/tmb/tv//yI7/25D/2///5Kv//7b//8j//9v//+T////l5QKoAAAACXBIWXMAAB2HAAAdhwGP5fFlAAAgAElEQVR4nO2dbYMTN3eGnZcmgadNNgG6XaCEFp4szWbJNiymQPD//1kdzfvYI1vnWLeOZnRfH2BnbbS3ZnVxNBrZ3uwIITA21gEIWTMUjBAgFIwQIBSMECAUjBAgFIwQIBSMECAUjBAgFIwQIBSMECAUjBAgFIwQIBSMECAUjBAgFIwQIBRspXx6svn6d/fF/WZM8z2SDAq2UjyCUbHEULCV4hWMhiWFgq2UsWDf/jn67mbznV2q8qBgK2VesN3fv242X70yS1UeFGyleATbfXi42VxZhSoQCrZSfIK5SeKPVqEKhIKtFJ9gbo5IwdJBwVYKK1geULCV4hPMrdrzGiwdFGylHFlF5I2whFCwlTIvWH3XmTPEhFCwleLfyTGeMBI0FGyleAXjPo6kULCV4hGM08PEULCV4ltFJGmhYCuFguUBBVsTbhG+vclFwfKAgq2J0T6oDw8pWA5QsFVx3a8S9l5RMFMo2Kq47V/t1atGwUyhYKvCvdrLGebmiu3VGAUzhYKti9uDO8oUzBQKtjKu93dEUTBTKNjaqN/XZrRjnoKZQsEIAULBCAFCwQgBQsEIAULBCAFCwQgBQsEIAULBCAFCwQgBQsEIAULBCAFCwQgBQsEIAULBCAFCwQgBQsEIAULBCAFiIti7+EAa1cIwPgoIQ8HwMIyPAsJQMDwM46OAMBQMD8P4KCAMBcPDMD4KCEPB8DCMjwLCUDA8DOOjgDAUDA/D+CggDAXDwzA+CghDwfAwjI8CwlAwPAzjo4AwFAwPw/goIAwFw8MwPgoIQ8HwMIyPAsJQMDwM4yOnMO5j1ADNUjA8DOMjozDN54DGb5eC4WEYH/mE6T5pN3rDFAwPw/jIJszwWfGxW6ZgeBjGRzZhKJi4W4BGtTCMj2zCUDBxtwCNamEYH9mEoWDibgEa1cIwPvIJw0UOabcAjWphGB8ZheEyvbBbgEa1MIyPnMLwRrOsW4BGtTCMj4zCbDbcKiXqFqBRLQzjI6MwG+5FlHUL0KgWhvGRT5gNBRN2C9CoFobxkU+YDXfTC7sFaFQLw/jIJsyGgkm7BWhUC8P4yCaMWz9cr2CEGJNs3LOCAWAYH7mE2ay7gkG6BWhUC8P4yCVMfYeZgom6BWhUC8P4yCTMhoLJuwVoVAvD+MgkTLNFioKJugVoVAvD+MgjzIaCKboFaFQLw/jII0y7x5eCiboFaFQLw/jIIsyGgmm6BWhUC8P4yCJM9yIVCibqFqBRLQzjI4cwGwqm6hagUS0M4yOHMP2rLCmYqFuARrUwjI8MwmwomK5bgEa1MIyPDMIMbxNAwUTdAjSqhWF82IfZUDBltwCNamEYH/ZhRu9zQ8FE3QI0qoVhfJiH2VAwbbcAjWphGB/mYcZv1EbBRN0CNKqFYXxYh9lQMHW3AI1qYRgf1mEm7zRKwUTdAjSqhWF8GIfZUDB9twCNamEYH9aCTY4omKhbgEa1MIwPCkbBIsAwPmzDbCjYGd0CNKqFYXwYCzY9pGCibgEa1cIwPkzD7H9aEQUTdQvQqBaG8WEr2N4xBRN1C9CoFobxYRnm4OP2KJioW4BGtTCMD1PB9r9BwUTdAjSqhWF8GIY5/LxYCibqFqBRLQzjw1Kwg+9QMFG3AI1qYRgfdmFmPvCcgom6BWhUC8P4MBTs8FsUTNQtQKNaGMaHWZiZAkbBZN0CNKqFYXzYCTbzPQom6hagUS0M48MqzFwBo2CybgEa1cIwPswEm/smBRN1C9CoFobxYRRmtoBRMFm3AI1qYRgfVoLNfpeCiboFaFQLw/iwCTNfwCiYrFuARrUwjA8jwea/TcFE3QI0qoVhfJiE8RQwCibrFqBRLQzjw0Ywz/cpmKhbgEa1MIwPCkbBIsAwPizC+GaIFEzWLUCjWhjGh4lgvgcomKhbgEa1MIwPgzDeAkbBZN0CNKqFYXxYCOZ9hIKJugVoVAvD+Egfxl/AKJisW4BGtTCMDwPB/A/lLNjn5xcXF4/HB89OHlAwE8oOc6SA5SzY9qLmlz/cwcen9cGjv44fUDAbyg5zxK+MBasK0+Puz/avyqVnRw8omBFFhzlWwDIWbNsUpY9PXQkLPKBgRhQd5phfWQtWX359fv7zb7vdTVOgvry+eHHsgIIZUXKYowUsY8E+Ph1K05fXzrKKu0on/wEFs6LkMEf9yliwqiY112DP3J/tBPCu+p7/oOGHBs3PJETKxuQm1F4G1b+qDLtoF+B7jbZjpw4OGigYSUgGfikztOvvTiCRYC2QwgxoVAvD+Ega5vgVWM5TxO1FvWxx4wyjYIcwjI+0gp14PFvB+mVBt0wougajYOkpNsypApavYKPS9OgvriIewjA+kgp26gnLEKwqYy/c192tL98BBTOi1DAnC1i+glXGNCXpxs39uJPjAIbxkVKwk8/IVrBqzlcbdnPh5oDci3gAw/igYGHcNLvpm6lfu7W+2TPvP6BgNhQa5vQMMWfBmhth3cyPrwfbg2F8JBTs9FNyFuw8IN0CNKqFYXwkCxNQwCiYrFuARrUwjI90ggU8h4KJugVoVAvD+EgVJqSAUTBZtwCNamEYH8kEC3kSBRN1C9CoFobxkShMUAGjYLJuARrVwjA+UgkW9CwKJuoWoFEtDOMjTZiwAkbBZN0CNKqFYXwkEizsaRRM1C1Ao1oYxkeSMIEFjILJugVoVAvD+EgjWODzKJioW4BGtTCMjxRhQgsYBZN1C9CoFobxkUSw0CdSMFG3AI1qYRgfCcIEFzAKJusWoFEtDOMjhWDBz6Rgom4BGtXCMD7wYcILGAWTdQvQqBaG8ZFAsPCnUjBRtwCNamEYH/AwggJGwWTdAjSqhWF84AUTPJeCiboFaFQLw/igYBQsAgzjAx1GMkOkYLJuARrVwjA+4IJJnkzBRN0CNKqFYXyAw4gKGAWTdQvQqBaG8YEWTPRsCibqFqBRLQzjAxtGVsAomKxbgEa1MIwPsGCyp1MwUbcAjWphGB/QMMICRsFk3QI0qoVhfGAFEz6fgom6BWhUC8P4QIaRFjAKJusWoFEtDOMDKpjw+Q8eUDBJtwCNamEYH8AwwgL24AEFk3UL0KgWhvGBFEzy5AcNiBwUDA/D+MCFkRSwBw8omLxbgEa1MIwPoGDBz+z14hRR1C1Ao1oYxgcsTHABG/TiKqKsW4BGtTCMD5xgYU97MJ4dUjBRtwCNamEYH6gwYQXswfTii4KJugVoVAvD+IAJFvCcPb0omLBbgEa1MIwPUJiAAnagFwUTdgvQqBaG8YES7NQTZvTKQ7D7zWZzRcGEMIwPG8Fm9bIW7N6J5fzabH6kYDIYxgcmzPEZokcvY8GunVd//1oL9tUrCiaCYXyABDvymFcvW8Fc6fpu9+Hh5ts/Pz2pvqJgEhjGByTMsQJ2bFeUpWDX9aXX7aaZJ377JwWTwDA+MIJ5Hzm+6dBQsGpueFVr9vXvu6qOuT8pWDgM4wMRxlvATu3pNRTs0xN33dVODuMLRkg8PJOwYUuvKccEu28WEFnBpDCMD0CY+QJ2ZG0DGeadaIp426wfXvMaTAjD+EAINvO9EL2sFznq5UNn1m38G2GQbgEa1cIwPuKHmSlgYXrZL9PXt5gry3gfTArD+AAItv+NUL1sBWtuMVfXXu6L6HulIN0CNKqFYXxED7NfwML1st4qdb1pLr2uAUuIkG4BGtXCMD7iCzY5kuhlLRgSSLcAjWphGB+xw0wKmEwvCibsFqBRLQzjI7pgw5dSvSiYsFuARrUwjI/IYYYCJtfLWrDrzQBvNMtgGB+xBWv/1uhlK5hbnadgWhjGR9wwbQHT6WUr2O2GgulhGB+RBav/VOplvVUK8E4BFMyC9YapC5haL+Pd9PHfJ4CC2bDeMJsz32Xe/OUqFEwJw/iIK9hZellv9gXOEClYSlYbRru2AQkzbjVEsPhvE0DBjFhpmLP1Mr4Pdht96ZCC2bDKMBH0sl7k4DK9HobxESdMFL0omLBbgEa1MIyPGGEi6UXBhN0CNKqFYXycHyaaXtZ7EZFAugVoVAvD+Dg3zKCX6DPPMWF8rVIwNAzj47wwo+oVwS8KJusWoFEtDOPjnDDjyWHwRzKjwhxrNVCw9pMfEPfDIN0CNKqFYXzow0yvvWL4ZSzYsJ8+9kc/ULCkrCPMdGkjSgGzvtE8wM8HE8IwPpRh9lcOo/hlKtiHh51Xt3xfRDEM40MV5mBhPk4BM97s21tVucbPB5PBMD4UYWbue8Xxy/gFl8O88JbvTS+EYXyIw8zdV45UwLJ5PRg/XUUKw/gQhpnfthHJLwom6xagUS0M40MUxrMrKlYB4xRR1i1Ao1oYxocgjHfTYSy/uMgh6xagUS0M4yM4jH9Pb7QCxmV6WbcAjTq+WTiLFOzYlvlofvFGs6xbgEadXrH7npqqB5AzoyPo13T0FSnxChi3Ssm6BWh0BX5Vhi1MsBMv+IrnFzf7yroFaPTdCvyqDEOcGSUnf00n9FqTYEAg3QI0ugq/liTYSb1izhApmKxbgEYpWGyO/ppO6xW1gNkI9umJewcOvidHDQWLzbFfU4BeUQsYBZN1C9AoBYuN/9cUolfcAkbBZN0CNErBYuP7NYXpFbeA8RpM1i1AoxQsNvO/pkC9IhcwCibrFqBRChabuV9TyNpGQ9wCRsFk3QI0eiDYZb376Pvu8M03/4L6iIzmJw1T8//7hzt+5X18zNvpA3kLFq5X7AJm+3KV0WVXubvp9wR72W/waxWDCfZm7wf1P/p7z+NjnItLEUyiV+wClo1g1/uLHF9eX3T88of7xo378kXz4Ofn1dfPdjMHA5BuARqdCjb49U0rFkqwt8MP+mnvR/80+/hBzmUIJtIregEzEmxvAXFuFXFPsNqiisfusY9P668f/XVwMALSLUCjE8HeV+P2qh//9VcgwVwJqktTp8rb1ui3zfHB4xPe7M8dcxVMqFf0AmZVwW4PBfNs9/349Offat1cjbq7cAeVbI9rsdy3JgdjIN0CNDoR7OUwbKsRXg94kGBv+8L0sjG5/9Fv68uwg8fHvP/mX/5rCYJJ9YpfwKwEOyxhnkuw1qxtW6HunE3twcenrrRNDsZAugVodE+w4YLnTTOEQYK96QV5X6tU+Xx17PEJl9+8epO/YHK94hewbK7BfNzV/lSavRi+d9NUq+abk4MxkG4BGt0T7MCmQbCXw4WZG+M/NRO1q9E/Hj3e8n7ywsjZz8Ru1HrrWy48UM/9oKtd9oIp9AIUsNwFqyaAL+q/RvXpy2s3T9w5+Z5NDyZAugVodCLYm8MLnk6wt9Mlh0qwl+O1kOHxyaJfgGDv6ylh/WMOLq2Gx0e8dT8ic8FUegEKWO73we66VY1Hf20vLuorsME29+DkoOGHBvXPTMx0FfHywJE3k7UH94Sr7onf1w83z+7WKN5M/3WAYM20tPqze+5Pc48PVBXt90PBwjucgEEv2b8zuWEbgZDcn/59ppy1BcwJ9s9mFfHZSLDtWLDtOgRr7vWOJWsFu+wq1ctetO/bx12Bqf5d+w/e7hecE7TPryan/Y/+aebxgcva04wF0+q126xOsOsTm327tY1tu0C/dTXslGAtkMIMaHR/aA73n5px3gg2DPNKJffAZT/AL51ao0uo/YpznPdtXXvZzQ7fT2eJ7/fr3psmV7ZTRN3ksCb+BNF2iti+X4BfsH7lYtvdSb7bd2p9gu2GeV07kp1go/FcC9X+2T/hpXJvVe/Py/HF3NXh48M3uvvfWQp2hl6IKzBbwaY3w2auD/q19+Zm2K65GDt1DdYC6RagUc/kqi5kr3adL6PlxebLy34iVw/1y8m11jD0T1yDDYVxdLdrcPdwfljVz1fDTx3IQ7Bz9MIUMON39v3q1e7e3WH+9GT2bdv6qjQy7Zc/1ryKOOZNU8I6wfYq1GXvw1u9YG/GE8uZOeabgzXFt5P2hrloDoKdp9f6BGusahbr//517o1Hbzppeo1cBau+/aL5ZnMfbHQwBtItQKNjwaYD+nIi2KkKNn/hdVSwy9Fk8s1Qq3rBLg8nm/kK9uDBmYJBZoj2H/7QqnU/s1Wq18pp1NSyuk6tdyfH5PJnItjMNdggWH0NJt/vMZHy7XiK+NPh48PTshRsrJfy1wTxy16w3XV99fXpyeFeqdHt5Xav4XblexEnK3jtkO9XEa/65zSriOM9HdMCFOba1J/h9Sdv+zttx1Yjs7oGm1Yv3a8JU8AyEOy2vvya29ZRzwdbtu3O+hejg2EJfzW76d1ieavHZX/n2Hcf7Kob6a+GrcEz634e9lfzu00k3R3rE6v9GQm2PzlUChY3VIf9xxc1L7Wc+3yw7dia+uUrXUVb7evBhvvM3SLizE6OegJ32S7jvxy9fOvVbvDjFJO5Xt/icKl28Ph0+pqPYIfXXqpfE6iAWS/Tf1d/xsqPTja+orlmtBzYrYd79iL+2z/Gx8PjYRPE8Ss7+yZHSyEHj+cp2NzShk6wiKHGWArmXrPy9e/d7eZSPx/sYJn+5Vivg9303bzNXXn1uy/G/zBsn9S0VI4dbX7a4eM5Cja/cqj5NaEKmO1m3/v6ZWD3kLdFXK5gYVwevEjLFAvBfAvzKsFihdrHdjf937+6uuUqWfzPV4F0C9AoBdPhv++l+DXBCljuL1c5A0i3AI1SMA3HbitrBIsSag4KJuoWoFEKJuf4rg35rwlXwIwF+/Sk3oJ4H/8DZClYWlIKdmpTlEKw80P5sF7k+K79O/oax3IE0xlWrGCn9xyKf03AAmYq2IeH7eLGbcmriOt4c/pUgp3WSyPYmaGOYSnY9aabGrp7YbFniZBuARpdhWGJPgQ9RC/5rwlZwDLYKtVwXexODvUkMR9cByBnZkqYXgrBzgl1CvvNvg1zexHPA9ItQKOOb5YN8MwMhOolDgMtYBRM1i1Ao1rKChOul1wwdagQbKeIw+a2+4KniDpKCiPRSxoGW8CMFzn6qlXJVupmXy0FhRHpJRZMlykU62X6pobdz7+rFAU7QjFhhHpRsIHx+47GLmAULCW4MGK9hGHAM0TjrVLXOL8oWEpQYRR6SQUTZ5Jhvdn3+tiHg1GwIxQQRqWXLAy6gJkLhgPSLUCjWlYfRrZ0qAyD9ouCyboFaFTLysOo9RKFgRcwG8E+PXEL9HsfI8sbzTJWHeYMvWSCiRuXQsFE3QI0qmXFYc7SSxIGX8AomKxbgEa1rDbMmXqJBFO1L4LXYKJuARrVstIwZ+slCJOggNkINnmhCgXTscowEfSSCKb+EeFYTREp2LmsMEwUvcLDpChgloLNfd4DBQtmdWEi6SUQ7KyfEoiVYN/+ScHOY2VhoukVHCZJATNa5LjeHMJVRBmrChNRr3DBzv5BIdgI5l6oQsHOY0VhouoVGiZNAbNapp8xjILJWE2YyHoFCxblZ53E9D05eA12BisJE12vwDCJChgFk3UL0KiWVYQB6BUqWLQfdxzu5BB1C9ColhWEgegVFiZVAeNeRFm3AI1qWXwYkF6BgkX9iUegYKJuARrVsvAwML0oGAWLwqLDAPUKCpNshshrMFm3AI1qWXIYpF5hggF+7DwUTNQtQKNalhsGq1dImHQFjILJugVoVMtSw6D1ChIM9JNnyOU+2C3fm17IMsPg9QoIk7CAZSPYNRc5hCwxTAq9QgQD/vB9bATbW0DkKqKC5YWBLh0KwqQsYFYV7PZQMH66ioylhUmlV4Bg2B8/xUiwwxIW/d2zId0CNKplWWHS6XUyTNICls01GFkzY72ss9isaWPhbnoAywmTsnqdDJO4gJneB7umYGewlDCp9TopWJoQHaZTROibt0G6BWhUyzLCpNfrxJlJXMAomKxbgEa1LCGMhV6nBEsWo8F0igj54D0KZsBsGBu9jp+Z1AXMdi/ibfS7yxTMhpkwVnqdECxdjAbbKSJ3cujJO4ydXkfPTPICRsFk3QI0qiXnMJZ6HRcsYYwGCibqFqBRLfmGsdXr2JlJX8D4ejBZtwCNask1jLVeRwVLGaOBgom6BWhUS55h7PWiYBQsCjmGyUGvI2fGYIZoLtj1ZvPVq9014I4zpFuARrXkFyYPvY4JljRGg61g9cvCvnr196+AG2KQbgEa1ZJbmFz08p8ZiwJmfaO5EcytJ/L1YELyCpOPXkcESxujwVKwDw+rwvXpSTVFdIZdUTARWYXJSC/vmTEpYPZ7EWvBdtUkkW8ZICOnMDnp5RcscYwGQ8Eqqa52rWC7e95oFpJPmLz08p0ZmwJmu5PDqdUK9uEhBZORS5jc9PIKljpGAwUTdQvQqJY8wuSnl+fMGBWwbKaIfGdfKTmEGfTKIEzPvGDJYzTYLnLUH2LkBPvwkIscQuzDjKqXfZgRc2GsCpj1Mr27B1YJdlvv56BgEqzDTCaH1mEmzAqWPkZDBjeaG6JvloJ0C9CoFtswe9deuZ8ZswKWw1YpjF8UDMjB0kbuZ8bMrxw2+yLeN5uCAZlZOcz8zNgVMHPBcEC6BWhUi1WY2YX5zM+MnV8UTNYtQKNabMJ47nvlfWYMC5ihYPfdneVPT2Kv0FMwEN7bynmfGUO/zAQb7Z//8BCxxkHBonNk10bWZ8aygFkJVr+jVGvVPeLj9yhYdI5tisr6zFj6ZSWYWzzsXwA2to2ChZI4zPE9h1mfmQIFq19qOTq+j/+2iBQsJqe29OZ8ZkxniEaC3e7vjLqNX8Ig3QI0qiVhmNM75nM+M6Z+2Qh2+PplvqJZTLIwIa9IyfjM2BYwG8FmPhks/getQLoFaFRLojBhL/jK+MzY+mUm2P5b3PAtA6QkCROmV85nxriAUTBZtwCNakkQJlSvnM+MsV9m12CcIp4LPEy4XhmfGesCZrSKePjhsfE/ThbSLUCjWsBhJHplfGas/TIS7H5/mf7DQy7TC4GGkemV75kxL2BGglUXYZOCVc0Z+ZYBQoBhpHrle2bM/bLaKnU72bpR+RV/MyKkW4BGtcDCyPXK9szYFzArwZxSnWL1VkR+uooUUBiNXtmeGXu/zF6uUhuG+4BmCqZDp1euZyaDAmb4gkvoW0pRMBVKvXI9Mxn4ZfqWAfew6kXBNKj1yvTM5FDA8n1Pji+vLzp++aM6/vi0+6ri8/Pq4Nlu5oCCaTlDr0zPTA5+LUawm/brWqRatouLR38dHFAwJWfpleeZyaKA5StYx8enP/+2220btW4u3EFVsh7XYrlvTQ4KEsxNrqM1pl3b6MnpzPSCGcdoyF2wqpA1ZjX+3Dibtk25+vjUlbbJQTmCNZevcdo6W6+szkwXJo8Clr1gd7U/X167yrVzOj3ubavce7F3UIxg3fJrhKYi6JXTmXnXC2YdoyFzwaoJ4MQbJ1hv213l1uSgGMGGGxznthRFr4zOjIOChXPnKtZAXac+P29ng+7ByUHDDw3qn7kABsHOa2fQK06ujDj31CwKdV/3C1g9Yeyd2o4F25Yp2DmSrVgvo7drt0Ld2e109X3bLiIeF6wFUpgBjWrYzCJrI9LksCGbM+NwYTJZ4sh8iri3ctH4RcFGgk2PBKJF1SujM+OoBbMO0ZG1YNO197vGr5PXYKsXzKdSeEmLrFc2Z6Ym5h2M88lasHFVqqpZq1Lhq4jt8DkyiE6JFl2vTM5MQ15+5S3YzSBN5Vd/OXbTTBy7+2Cjg/ULNoyegDDzosXXK4sz06K7IMWRs2B9dZr6VfJOjtHQEYQZS4bQK4cz06Jd8oGRs2D99VW3oaP/fqF7ESfjRhFmpFfkQWh9ZnoomICPTzur6lekXPS75rcXow30k4M1C7Y3bBRh9vSKOBiNBTu46qRgIQx3wbYXE8FKfD3YwaARh5lZ24g2KBOfmTmhKFhiIN0CNBrEzJARhjm6dHj26ASfGYFMmflFwWTdAjQawtyIEYUJXJlXixb7zJxRnfLyi4LJugVo9DTzA0YQRn7jSyja2UP6DKHih4kKBRN1C9DoKXwjLDjMOfeVw4a63IITQp0nSDZLmg4KJuoWoNHj+IdbYJg42zaOGhBiBVKofSgYBQvk2OALChN9V9SMGbOapBRqHwpGwcI4OhQDwgA2HXacECitUXtQMAoWwolxeTIMUK+BHITah4JRsNOcHKYnwiTRqyYPq0ZQMAp2ioDxejRMOr3elXJvVwkFE3UL0OgcIcP1WJiUer0r5N6uEgom6hag0UPCRqs/TGK93pVxb1cJBRN1C9DoPqHVwBcmvV5HwphQQBgKpiV8sjUfxkSvIsa0Egom6hag0TGSa5m5MEnXNk6FMaOAMBRMhehS5jCMmV5FjGklFEzULUCjPcKVgv0whnoVMaaVUDBRtwCNtohXuqdhTPUqYkwroWCibgEarVHcSBqHMdariDGthIKJugVo9J1Kr3EYc72KGNNKKJioW4BGtbdpuzAZ6FXEmFZCwUTdAjSq3QXRhMlCryLGtBIKJupW9Cb1u/hcmEz0KmJMK6Fgom5FbvCcTbLjD9CLGkoXxjrBiALCULAgztojm5FeRYxpJRRM1K2Yra1HryLGtBIKJupWvLbOeglVZnoVMaaVUDBRt2K1tC69ihjTSiiYqFtx2lmbXkWMaSUUTNStKM3E0YuC+SggDAXzE0uvAoaRkgLCUDAf58wOp9WrgGGkpIAwFGyeeHoVMYyUFBCGgs0RU68ihpGSAsJQsBmi6lXEMFJSQBgKdkBkvYoYRkoKCEPB9jhjduhbmC9gGCkpIAwFmwDQq4hhpKSAMBRsDEKvIoaRkgLCULABjF5FDCMlBYShYB362eGpTVEFDCMlBYShYA04vYoYRkoKCEPBHEi9ihhGSgoIQ8HenXHxFaJXEcNISQFhKBharyKGkZICwuQgmCn17FDzD8d6xQ5F1kppFUx98RVavSRhksAwPtZbwSDdCnlWEr2KGEZKCghTsmAxLr6ihUkFw/igYKJunXxKKr2KGEZKCghTqmAxZofRwqSEYXxQMFG3jj6cUq8ihpGSAsIUKVhSvVlLLMUAAAloSURBVIoYRkoKCFOgYGmWDgPDJIdhfFAwUbd8j2hnh2q9ihhGSgoIU5hgBnoVMYyUFBCmKMFM9CpiGCkpIExJgtnoVcQwUlJAmHIEs9KriGGkpIAwpQimnB1G0KuIYaSkgDBlCGapVxHDSEkBYUoQzFavIoaRkgLCFCCYsV5FDCMlBYRZvWDmehUxjJQUEGadgvVW6WaHUfUqYhgpKSDMKgXbtF5loVcRw0hJAWHWKNhmhPgfR9eriGGkpIAwKxQsM72KGEZKCgizasGk/xKiVxHDSEkBYShYD0ivIoaRkgLCULAWmF5FDCMlBYRZoWDvFH4B9SpiGCkpIMwaBXt3jl/RwxQxjJQUEGaVggm3b2D1KmIYKSkgzDoFk5wstF5FDCMlBYQpXTC8XkUMIyUFhClbsBR6FTGMlBQQpmTBoEuH0jCpYBgfFEzUrZNPSaVXEcNISQFhShUsnV5FDCMlBYQpU7CUehUxjJQUEKZEwdLqVcQwUlJAmPIES61XEcNISQFhShMsvV5FDCMlBYQpSzALvYoYRkoKCFOSYDZ6FTGMlBQQphzBrPQqYhgpKSBMKYLZ6VXEMFJSQJgyBLPUq4hhpKSAMCUIZqtXEcNISQFh1i+YtV5FDCMlBYRZu2D2ehUxjJQUEGbdguWgVxHDSEkBYdYsWB56FTGMlBQQJpJgNxcVL5qvPz+vvn68Gx08mztAC5aLXkUMIyUFhIkiWC1OZ9W2+fqXP9zBx6f1waO/Dg7AguWjVxHDSEkBYWII9uV1XZbuLn7+rZbtcfdn+1cl1rP9g3SCAVqXhln/MFJSQJgYgm3bonTnBGoPPj51Jcx/kEowQNtiChhGSgoIE0GwqoC9GNtWTxQ/P3fl7KapVs0zJgdpBAO0rKCAYaSkgDARBPv8fFySPj4d6tSX186ynattz6YHcMF22ehVxDBSUkCYCII5pdzKRuNPVaCaa7BnI/Xc5HFy0PBDg+JnnuYBpFVCzkIp2D+blcNuCth93Tu1HQu2TSIYIRmiEWzbLtBvmxrWLsY7m04J1gIpzIBGtTCMjwLCxBGsuahqVxHrNYwbZxgFq2EYHwWEiSDYx6ft6oW7GOvXCN2a4alrMAqWHobxkbFgrTnui1GdcrbZrSICGtXCMD4KCBNBsN4cV8EmglVl7EXzjOY+2OiAghnBMD6yFawyp5nzNXWqrU83x7d1UDAjGMZHvoK12wubVcS7ZsnjZrQx0WIv4vp/c0oYxke+gnUb6Jup3834oH2k2as4OaBgNjCMj4wFa24udzO/+kZYd2D3erB8YBgfBYSJI9h5QLoFaFQLw/goIAwFw8MwPgoIQ8HwMIyPAsJQMDwM46OAMBQMD8P4KCAMBcPDMD4KCEPB8DCMjwLC5CAYgKxexckwPsoLQ8EAMIyP8sJQMAAM46O8MBQMAMP4KC8MBQPAMD7KC0PBADCMj/LCUDAADOOjvDBrEYyQLKFghAChYIQAoWCEAKFghAChYIQAoWCEAKFghABZnmD+N4mrjx97DkzDTJ6WRZjD99KzCdM89eCdM03C1A/E/kUtTrDubU7rM9R+NNnw+7kZf5DLzf6nuliFmTzNOswdYBSpwzi+vD58a1qTMO0jZQu29b5R967+9ug3NzmwDDN5mnWY6nsvusfNw9Tczbz3s0mYg8+xi8HSBLvxftRE+z/QZCIEFiwwzORpmYQ5/EQOizDdIVaw0DA3iCnGwgTrPzmp/t/mpv+Q6Be7+n/Cx9vRROgx5H8keZjp04zDdPSfOmUdpvruf2KvwULD9M+LysIE63FnZe8T/u6qo0Gw8YF1mNHTcgmDX1gIDFOVlURZToX5/PzR/z6NfnG6UMHq/4BmPqN2MoxSCRYUZu6DCO3CNFdiGYRxM7ZEgp0K061xxD0zCxXszs2kZz5l3USwoDDt07IIU13XQ9dbwsN8fl4FSSTYqTDtWkj/CeRxWKZg23ZBKAvBwsK0T8shTP3ZU/g7YSFh6iuiNIKdDHPX/x3z1CxSsHas5iFYcJh0fgWU0xRzxNNhmqKeRLDgMxM5zhIFu2vHahbXYIFh7pL4FXpmdv1ytWmYdjaWQjDBmYl7B2N5glUTnPYE7K0IOVILFhhmeFoGYRrQozokTLupBL+xxPDMLE6w8caam2aaM1qeSyxYYBj8ZqDgMP13wIIFhUklWOCZgdyuXJpgk7G6d1d+l1qwwDDp/ToS5qa//EGeHMmvKUUxDTsz3YaPFxF/+NIEm6x1H+wrSyxYYJiE6/Onw7SrG+A1F8mvCS6Y9MxETbMwwbpXFLTbobfDlw1JBQsMs/c02zD9I9BFRNGvCS1YcJg7xGx1YYJtLyYn6+C1PUkFCwyz/zTTMN0j8P3r4b8mtGDCMxN5zCxMMEKWBQUjBAgFIwQIBSMECAUjBAgFIwQIBSMECAUjBAgFIwQIBSMECAUjBAgFIwQIBSMECAUjBAgFIwQIBSMECAVbMNebzXfD0d+/bjZXdmHILBRswXx6MlbqdqIbyQMKtmTuN5uvf2+//vBw+JpkAwVbNNUk8cfmK04Q84SCLZpqkvjVq/orThDzhIItm2qS+O2fu9q0+m+SGRRs2biZoZskXneVrP3eZuSbWwvZdHPJ6sGr6nKtnk82Txz+IYkPBVs4lSyVIff9tVg9WWxop4zX3XG9BlJJ9R/twf3kAQKBgi0dd/FVWdMXrNu2eHU3yW4b91wZc8eualVG/v3fTs36ibx6Q0LBlo4z5l+HeV6lTavLbf3NSqzmuL1KG1Ybb7vKdc0ShoOCLZ76imo0QexsqVT6zq2CtO5Vh+6R9q9dJyDBQsGWz+1oRaOxquF6urB43QnWfvd+shJCMFCw5VOVsL6AtSuGB6sX9YJhK1hnYLv68eNBgyQeFGz5nBDsfnI4LnH15JIL9VAo2PLZE2y6JNjc63ILG9cHgg0Pc5MVCgq2fMaCjRfsa277OeCsYO1TeC2GgoItn7Fgoy0dtWuDcFVtmwg2uRjjOj0KCrZ8JoJ1t4/ra6+rUUW73b8Gux0t4LOCoaBgy2cimBOpFqed+LX7NOrFD/f9QbDu5Zp8oQsSCrZ8poINexG7bfbt0f90G3y/G/7dhiv1YCjY8tkTbH+T/HW7Qt8sME4WOW7Hm4IJAgpGCBAKRggQCkYIEApGCBAKRggQCkYIEApGCBAKRggQCkYIEApGCBAKRggQCkYIEApGCBAKRgiQ/wdW1FU5mApTfgAAAABJRU5ErkJggg==" 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" width="432" /></p>
+<p>La pendiente de los ataques para <em>JP</em> es -7.4 mientras que la pendiente de las certificaciones es 262.4.</p>
 </div>
 <div id="evolucion-geografica-y-tipo-de-ataque" class="section level3">
 <h3>Evolución geográfica y tipo de ataque</h3>
-<p>Hasta ahora se han analizado por separado estas dos variables, pero la respuesta podria encontrarse en una combinacion de las mismas. Para ello se analizarán los tipos de ataque reportados en el pais en el que parece que la certificación es más efectiva, <em>Japón</em>, y en el que menos, <em>Estados Unidos</em>.</p>
-<p><img 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" 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" width="432" /></p>
-<p>Como vimos en el apartado previo, la ISO 27001 parece especialmente efectiva contra las técnicas de <em>Defacement</em>, <em>DDoS</em> e <em>Injection</em>, en los gráficos previos podemos observar como para <em>Estados Unidos</em> tiene un menor porcentaje de este tipo de ataques con respecto a <em>Japón</em>. Para valorarlo mejor se representará a continuación cómo evolucionan con el tiempo.</p>
-<p><img 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" width="432" /></p>
-<p>Como se puede observar, en <em>Estados Unidos</em> se presenta una tendencia mayor a recibir los tipos de ataques que parecen menos afectados por la ISO 27001, mientras que en <em>Japón</em> parecen matenerse. Se representarán las tendecias en ambos paises.</p>
-<p><img 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" 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" width="432" /></p>
-<p>Efectivamente, la tendencia en <em>Estados Unidos</em> tiene una pendiente mayor (21.2) que en Japón que es cercana al 0 (-1.11022310^{-16}) lo que, aunque la gráfica sea irregular debido a la baja cantidad de casos, implica una constancia.</p>
+<p>Hasta ahora se han analizado por separado el tipo de ataque y la localización geofráfica, pero la respuesta podría encontrarse en una combinación de las mismas. Para ello se analizarán los tipos de ataque reportados en el país con más certificaciones, <em>Japón</em>, y en el que más ataques recibe, <em>Estados Unidos</em>.</p>
+<p><img 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" width="864" /></p>
+<p>Como se pudo apreciar en un apartado previo, la ISO 27001 parece especialmente efectiva contra las técnicas de <em>Defacement</em>, <em>DDoS</em> e <em>Injection</em>, en los gráficos previos se puede observar que <em>Estados Unidos</em> tiene un menor porcentaje de este tipo de ataques con respecto a <em>Japón</em>. Para valorarlo mejor se representará a continuación cómo evolucionan con el tiempo en ambos paises.</p>
+<p><img 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" 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" width="432" /></p>
+<p>Como se puede observar, en <em>Estados Unidos</em> se presenta una tendencia mayor a recibir los tipos de ataques que parecen menos afectados por la ISO 27001, mientras que en <em>Japón</em> parecen matenerse. Se representarán las tendecias para cada técnica en ambos paises.</p>
+<p><img 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" width="432" /></p>
+<p>Para <em>DDoS</em>, la pendiente de la tendencia es menor en <em>Estados Unidos</em>(-22.4) que en <em>Japón</em>(-0.2).</p>
+<p><img src="data:image/png;base64,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" 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" width="432" /></p>
+<p>Para <em>Defacement</em>, la pendiente de la tendencia es menor en <em>Estados Unidos</em>(-1.8) que en <em>Japón</em>(-0.8), aunque es muy parecida.</p>
+<p><img src="data:image/png;base64,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" 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" width="432" /></p>
+<p>Para <em>Injection</em>, la pendiente de la tendencia es menor en <em>Estados Unidos</em>(-55.1) que en <em>Japón</em>(-3.9).</p>
+<p><img src="data:image/png;base64,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" 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" width="432" /></p>
+<p>Para <em>Otros</em>, la pendiente de la tendencia es mayor en <em>Estados Unidos</em>(-55.1) que en <em>Japón</em>(-3.9).</p>
 </div>
 </div>
-<div id="viejo" class="section level1">
-<h1>Viejo</h1>
-<p>De los datos mostrados se pueden hacer diferentes observaciones:</p>
-<ul>
-<li>De 2014 a 2015, USA pasa de tener 654 a 1247 empresas con certificación ISO 27001, sin embargo la cifra de ciberataques se mantiene constante de 383 a 386 ataques recibidos. De 2013 a 2014 por ejemplo, pasa de recibir 505 a 383 ataques pese a sólo haber pasado de 566 a 654 empresas con dicha certificación.</li>
-<li>Japón tiene un número inusualmente alto de empresas con la ISO 27001, no obstante sufre una cantidad de ciberataques comparativa a la de Israel, que tiene muchas menos empresas con la certificación.</li>
-</ul>
-<p>Ambas observaciones son de especial interés ya que ponen de relieve situaciones en las que de ser efectivo reformar los sistemas para cumplir la ISO 27001, debería poder apreciarse un efecto en la cantidad de ciberataques recibidos. En el caso de los USA, sólo podría explicarse mediante alguna de las siguientes hipótesis:</p>
-<ul>
-<li>Entre 2013 y 2014 se produjo un número especialmente alto de ciberataques a USA</li>
-<li>Se crean más empresas de las que logran certificarse, y además, sufren ataques antes de obtenerla</li>
-</ul>
-<p>La primera hipótesis puede ser comprobada con los datos que disponemos. A continuación se muestra una línea temporal de ciberataques globales entre los años 2012 y 2015.</p>
-<p>Observamos que se produjo lo contrario, bajó el número de ciberataques.</p>
 <div id="conclusiones" class="section level2">
 <h2>Conclusiones</h2>
-<p>Por lo observado anteriormente, se puede concluir que:</p>
-<ul>
-<li>La cantidad de ciberataques que recibe un país no se mitiga por el número de empresas que han obtenido la certificación ISO 270001</li>
-</ul>
-<p>Esto no lleva a concluir que obtener la certificación ISO 27001 no es efectiva para reducir el número de ciberataques, sino que probablemente dependa de factores externos ajenos a este estudio</p>
 </div>
 <div id="trabajo-futuro" class="section level2">
 <h2>Trabajo futuro</h2>
-<p>Como trabajo futuro querríamos poder seguir en la línea de investigación acerca de los siguientes puntos:</p>
+<p>Como trabajo futuro, el estudio podría seguir diversas líneas de investigación, resumidas en los siguientes puntos:</p>
 <ul>
-<li>¿Qué factores producen un aumento o recesión en la cantidad de ciberataques recibidos?</li>
-<li>¿Qué sectores industriales reciben más ciberataques?</li>
-<li>¿Cuáles de esos sectores son los que más certificaciones obtienen?</li>
+<li>Mejorar la fuente de datos de ciberataques. Una fuente cuya administración, recopilación y mantenimiento no dependiera de una sola persona y fuera más constante, homogenea y detallada.</li>
+<li>Conectar los datos sobre web sites certificados por pais que nos provee la fuente de datos de certificaciones.</li>
+<li>Homogenizar los nombres y conectar los datos sobre sectores industriales que nos proveen ambas fuentes.</li>
+<li>Investigación más a fondo de los cambios realizados sobre la norma 27001, como la 27001:2013, para relacionarlos con las irregularidades en las curvas de ataques.</li>
+<li>Incorporar nuevas variables que puedan afectar al estudio, como parches importantes u otras normas parecidas.</li>
 </ul>
 <p>Creemos que la investigación de estas cuestiones puede dar más robustez a las conclusiones expuestas en este estudio.</p>
 </div>
-</div>
 % Generated by roxygen2: do not edit by hand
-% Please edit documentation in R/ReportGraphs.R
-\name{GetReportGraphs}
-\alias{GetReportGraphs}
-\title{Return every graph used in the report file}
+% Please edit documentation in R/Hackmageddon_Parser.R
+\name{FilterMultiAttack}
+\alias{FilterMultiAttack}
+\title{Look for rows with more than one attack and split into multiple}
 \usage{
-GetReportGraphs(Cert_PerCountry, Attacks)
+FilterMultiAttack(dataset.pre)
 }
 \arguments{
-\item{Cert_PerCountry}{data.frame with the processed data of ISO 27001 certifications}
-
-\item{Attacks}{data.frame with the processed data of cyberattacks}
+\item{dataset.pre}{data.frame to process}
 }
 \value{
 data.frame
 }
 \description{
-Return every graph used in the report file
+Look for rows with more than one attack and split into multiple
 }
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ReportGraphs.R
+\name{GetAttackTypeEvolution}
+\alias{GetAttackTypeEvolution}
+\title{Return graph to show the evolution of a attack types list}
+\usage{
+GetAttackTypeEvolution(Attacks, TypeList)
+}
+\arguments{
+\item{Attacks}{data.frame with procesed source data}
+
+\item{TypeList}{List with attack types to show}
+}
+\value{
+list(graph, data.frame with TypeList attacks data by year)
+}
+\description{
+Return graph to show the evolution of a attack types list
+}
+
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ReportGraphs.R
+\name{GetAttackTypePie}
+\alias{GetAttackTypePie}
+\title{Return pie graph to show % of each attack type}
+\usage{
+GetAttackTypePie(Attacks, label.vjust = 0, label.hjust = 0)
+}
+\arguments{
+\item{Attacks}{data.frame with procesed source data}
+
+\item{label.vjust}{Vector of vertical just to each portion label}
+
+\item{label.hjust}{Vector of horizontal just to each portion label}
+}
+\value{
+list(graph, AttackTypeShowedList)
+}
+\description{
+Return pie graph to show % of each attack type
+}
+
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ReportGraphs.R
+\name{GetAttackTypeSigleEvolution}
+\alias{GetAttackTypeSigleEvolution}
+\title{Return graph to show the evolution of a single attack type and his smooth}
+\usage{
+GetAttackTypeSigleEvolution(Attacks, AttackType, smooth.x = 0, smooth.y = 0,
+  smooth.label.hjust = 0)
+}
+\arguments{
+\item{Attacks}{data.frame with procesed source data}
+
+\item{AttackType}{Attack type to represent}
+
+\item{smooth.x}{Horizontal position to smooth slope label}
+
+\item{smooth.y}{Vertical position to smooth slope label}
+
+\item{smooth.label.hjust}{Horizontal just to smooth slope label}
+}
+\value{
+list(graph, slope)
+}
+\description{
+Return graph to show the evolution of a single attack type and his smooth
+}
+
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ReportGraphs.R
+\name{GetAttacksEvolution}
+\alias{GetAttacksEvolution}
+\title{Return graph representing the general attacks evolution by year}
+\usage{
+GetAttacksEvolution(Attacks, point.vjust = 0, point.hjust = 0,
+  iso2013.y = 0, iso2013.label.hjust = 0, smooth.x = 0, smooth.y = 0,
+  smooth.label.hjust = 0)
+}
+\arguments{
+\item{Attacks}{data.frame with procesed source data}
+
+\item{point.vjust}{Vector of vertical just to each point label}
+
+\item{point.hjust}{Vector of Horizontal just to each point label}
+
+\item{iso2013.y}{Vertical position to ISO27001:2013 label}
+
+\item{iso2013.label.hjust}{Horizontal just to ISO27001:2013 label}
+
+\item{smooth.x}{Horizontal position to smooth slope label}
+
+\item{smooth.y}{Vertical position to smooth slope label}
+
+\item{smooth.label.hjust}{Horizontal just to smooth slope label}
+}
+\value{
+list(graph, slope)
+}
+\description{
+Return graph representing the general attacks evolution by year
+}
+
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ReportGraphs.R
+\name{GetAttacksMonthEvolution}
+\alias{GetAttacksMonthEvolution}
+\title{Return graph representing the general attacks evolution by month}
+\usage{
+GetAttacksMonthEvolution(Attacks)
+}
+\arguments{
+\item{Attacks}{data.frame with procesed source data}
+}
+\value{
+graph
+}
+\description{
+Return graph representing the general attacks evolution by month
+}
+
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ReportGraphs.R
+\name{GetCertsEvolution}
+\alias{GetCertsEvolution}
+\title{Return graph representing the general ISO27001 evolution}
+\usage{
+GetCertsEvolution(Cert_PerCountry, point.vjust = 0, point.hjust = 0,
+  iso2013.y = 0, iso2013.label.hjust = 0, smooth.x = 0, smooth.y = 0,
+  smooth.label.hjust = 0)
+}
+\arguments{
+\item{Cert_PerCountry}{data.frame with procesed source data}
+
+\item{point.vjust}{Vector of vertical just to each point label}
+
+\item{point.hjust}{Vector of Horizontal just to each point label}
+
+\item{iso2013.y}{Vertical position to ISO27001:2013 label}
+
+\item{iso2013.label.hjust}{Horizontal just to ISO27001:2013 label}
+
+\item{smooth.x}{Horizontal position to smooth slope label}
+
+\item{smooth.y}{Vertical position to smooth slope label}
+
+\item{smooth.label.hjust}{Horizontal just to smooth slope label}
+}
+\value{
+list(graph, slope)
+}
+\description{
+Return graph representing the general ISO27001 evolution
+}
+
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ReportGraphs.R
+\name{GetContinentAttackCol}
+\alias{GetContinentAttackCol}
+\title{Return graph representing % of attacks type by continent}
+\usage{
+GetContinentAttackCol(Attacks, Country, Country2)
+}
+\arguments{
+\item{Attacks}{data.frame with procesed source data}
+
+\item{Country}{Country to represent on the left side}
+
+\item{Country2}{Country to represent on the right side}
+}
+\value{
+Graph
+}
+\description{
+Return graph representing % of attacks type by continent
+}
+
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ReportGraphs.R
+\name{GetContinentAttackEvolution}
+\alias{GetContinentAttackEvolution}
+\title{Return graph representing the evolution of attack types in a country}
+\usage{
+GetContinentAttackEvolution(Attacks, Country)
+}
+\arguments{
+\item{Attacks}{data.frame with procesed source data}
+
+\item{Country}{Country to represent}
+}
+\value{
+list(Graph, data to represent attacktypes of the country 1b1)
+}
+\description{
+Return graph representing the evolution of attack types in a country
+}
+
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ReportGraphs.R
+\name{GetContinentAttacksEvolution}
+\alias{GetContinentAttacksEvolution}
+\title{Return graph to show the evolution of a attack types list}
+\usage{
+GetContinentAttacksEvolution(Attacks, ContinentList)
+}
+\arguments{
+\item{Attacks}{data.frame with procesed source data}
+
+\item{ContinentList}{List with continents to show}
+}
+\value{
+list(graph, data.frame with ContinentList attacks data by year)
+}
+\description{
+Return graph to show the evolution of a attack types list
+}
+
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ReportGraphs.R
+\name{GetContinentAttacksSigleEvolution}
+\alias{GetContinentAttacksSigleEvolution}
+\title{Return graph to show the evolution of attacks in a single continent and his smooth}
+\usage{
+GetContinentAttacksSigleEvolution(Attacks, Continent, smooth.x = 0,
+  smooth.y = 0, smooth.label.hjust = 0)
+}
+\arguments{
+\item{Attacks}{data.frame with procesed source data}
+
+\item{Continent}{Continent to represent}
+
+\item{smooth.x}{Horizontal position to smooth slope label}
+
+\item{smooth.y}{Vertical position to smooth slope label}
+
+\item{smooth.label.hjust}{Horizontal just to smooth slope label}
+}
+\value{
+list(graph, slope)
+}
+\description{
+Return graph to show the evolution of attacks in a single continent and his smooth
+}
+
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ReportGraphs.R
+\name{GetContinentCertsEvolution}
+\alias{GetContinentCertsEvolution}
+\title{Return graph to show the evolution of certifications in a continent list}
+\usage{
+GetContinentCertsEvolution(Cert_PerCountry, ContinentList)
+}
+\arguments{
+\item{Cert_PerCountry}{data.frame with procesed source data}
+
+\item{ContinentList}{List with continents to show}
+}
+\value{
+list(graph, data.frame with ContinentList certifications data by year)
+}
+\description{
+Return graph to show the evolution of certifications in a continent list
+}
+
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ReportGraphs.R
+\name{GetContinentCertsSingleEvolution}
+\alias{GetContinentCertsSingleEvolution}
+\title{Return graph to show the evolution of certifications in a single continent and his smooth}
+\usage{
+GetContinentCertsSingleEvolution(Certs_byContinent, Continent, smooth.x = 0,
+  smooth.y = 0, smooth.label.hjust = 0)
+}
+\arguments{
+\item{Certs_byContinent}{data.frame with procesed source data}
+
+\item{Continent}{Continent to represent}
+
+\item{smooth.x}{Horizontal position to smooth slope label}
+
+\item{smooth.y}{Vertical position to smooth slope label}
+
+\item{smooth.label.hjust}{Horizontal just to smooth slope label}
+}
+\value{
+list(graph, slope)
+}
+\description{
+Return graph to show the evolution of certifications in a single continent and his smooth
+}
+
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ReportGraphs.R
+\name{GetContinentPie}
+\alias{GetContinentPie}
+\title{Return pie graph to show % of attacks and certifications for each continent}
+\usage{
+GetContinentPie(Attacks, Attacks.label.vjust = 0, Attacks.label.hjust = 0,
+  Cert_PerCountry, Certs.label.vjust = 0, Certs.label.hjust = 0)
+}
+\arguments{
+\item{Attacks}{data.frame with procesed source data of attacks}
+
+\item{Attacks.label.vjust}{Vector of vertical just to each portion label}
+
+\item{Attacks.label.hjust}{Vector of horizontal just to each portion label}
+
+\item{Cert_PerCountry}{data.frame with procesed source data of certifications}
+
+\item{Certs.label.vjust}{Vector of vertical just to each portion label}
+
+\item{Certs.label.hjust}{Vector of horizontal just to each portion label}
+}
+\value{
+list(AttacksGraph, CertsGraph, ContinentListToStudy)
+}
+\description{
+Return pie graph to show % of attacks and certifications for each continent
+}
+
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ReportGraphs.R
+\name{GetCountriesAttacksSingleEvolution}
+\alias{GetCountriesAttacksSingleEvolution}
+\title{Return graph to show the evolution of attacks in a single continent and his smooth}
+\usage{
+GetCountriesAttacksSingleEvolution(Attacks, Country, smooth.x = 0,
+  smooth.y = 0, smooth.label.hjust = 0)
+}
+\arguments{
+\item{Attacks}{data.frame with procesed source data}
+
+\item{Country}{Country to represent}
+
+\item{smooth.x}{Horizontal position to smooth slope label}
+
+\item{smooth.y}{Vertical position to smooth slope label}
+
+\item{smooth.label.hjust}{Horizontal just to smooth slope label}
+}
+\value{
+list(graph, slope)
+}
+\description{
+Return graph to show the evolution of attacks in a single continent and his smooth
+}
+
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ReportGraphs.R
+\name{GetCountriesCertsSingleEvolution}
+\alias{GetCountriesCertsSingleEvolution}
+\title{Return graph to show the evolution of certifications in a single continent and his smooth}
+\usage{
+GetCountriesCertsSingleEvolution(Cert_PerCountry, Country, smooth.x = 0,
+  smooth.y = 0, smooth.label.hjust = 0)
+}
+\arguments{
+\item{Country}{Country to represent}
+
+\item{smooth.x}{Horizontal position to smooth slope label}
+
+\item{smooth.y}{Vertical position to smooth slope label}
+
+\item{smooth.label.hjust}{Horizontal just to smooth slope label}
+
+\item{Attacks}{data.frame with procesed source data}
+}
+\value{
+list(graph, slope)
+}
+\description{
+Return graph to show the evolution of certifications in a single continent and his smooth
+}
+
+% Generated by roxygen2: do not edit by hand
+% Please edit documentation in R/ReportGraphs.R
+\name{GetCountriesCol}
+\alias{GetCountriesCol}
+\title{Return graph to show the attacks by country}
+\usage{
+GetCountriesCol(Attacks, Attacks.label.vjust = 0, Attacks.label.hjust = 0,
+  Cert_PerCountry, Certs.label.vjust = 0, Certs.label.hjust = 0)
+}
+\arguments{
+\item{Attacks}{data.frame with procesed source data of attacks}
+
+\item{Attacks.label.vjust}{Vector of vertical just to each portion label}
+
+\item{Attacks.label.hjust}{Vector of horizontal just to each portion label}
+
+\item{Cert_PerCountry}{data.frame with procesed source certifications}
+
+\item{Certs.label.vjust}{Vector of vertical just to each portion label}
+
+\item{Certs.label.hjust}{Vector of horizontal just to each portion label}
+}
+\value{
+list(AttacksGraph, CertsGraph, CountryListToStudy)
+}
+\description{
+Return graph to show the attacks by country
+}
+