diff --git a/plot1.R b/plot1.R
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+++ b/plot1.R
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+##Make sure to download and unzip the file (Source = https://d396qusza40orc.cloudfront.net/exdata%2Fdata%2Fhousehold_power_consumption.zip)
+##set your working directory and check that "household_power_consumption.txt" is located inside
+##list.files() = "household_power_consumption.txt"
+
+
+##Read in the "household_power_consumption.txt"
+Full_Data_Frame <- read.table("household_power_consumption.txt", 
+                              header = T,
+                              sep = ';',
+                              na.strings = "?", 
+                              nrows = 2075259,
+                              check.names = F,
+                              stringsAsFactors = F,
+                              comment.char = "",
+                              quote = '\"')
+
+
+##Subsett just the two days we need ("1/2/2007" & "2/2/2007")
+Data <- subset(Full_Data_Frame, 
+               Date %in% c("1/2/2007",
+                           "2/2/2007"))
+
+
+##Convert Date & Time
+Data$Date <- as.Date(Data$Date,
+                     format = "%d/%m/%Y")
+
+Data$Time <- format(Data$Time,
+                    format = "%H:%M:%S")
+
+
+##Plot & save the histogram of "Global Active Power" as a png
+png("plot1.png",
+    width = 480,
+    height = 480)
+
+hist(Data$Global_active_power,
+     main = "Global Active Power", 
+     xlab = "Global Active Power (kilowatts)",
+     ylab = "Frequency",
+     col = "Red")
+
+dev.off()
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diff --git a/plot1.png b/plot1.png
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diff --git a/plot2.R b/plot2.R
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+++ b/plot2.R
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+##Make sure to download and unzip the file (Source = https://d396qusza40orc.cloudfront.net/exdata%2Fdata%2Fhousehold_power_consumption.zip)
+##set your working directory and check that "household_power_consumption.txt" is located inside
+##list.files() = "household_power_consumption.txt"
+
+
+##Read in the "household_power_consumption.txt"
+Full_Data_Frame <- read.table("household_power_consumption.txt", 
+                              header = T,
+                              sep = ';',
+                              na.strings = "?", 
+                              nrows = 2075259,
+                              check.names = F,
+                              stringsAsFactors = F,
+                              comment.char = "",
+                              quote = '\"')
+
+
+##Subsett just the two days we need ("1/2/2007" & "2/2/2007")
+Data <- subset(Full_Data_Frame, 
+               Date %in% c("1/2/2007",
+                           "2/2/2007"))
+
+
+##Convert Date & Time
+Data$Date <- as.Date(Data$Date,
+                     format = "%d/%m/%Y")
+
+Data$Time <- format(Data$Time,
+                    format = "%H:%M:%S")
+
+
+##Combine $Date & $Time
+Date_Time <- paste(as.Date(Data$Date),
+                   Data$Time)
+
+
+##Convert "Date_Time" to POSIXct and add it to "Data" as a new column
+Data$Date_Time <- as.POSIXct(Date_Time)
+
+
+##Plot "Date_Time" & "Global_active_power"
+png("plot2.png",
+    width = 480,
+    height = 480)
+
+with(Data, 
+     {  plot(Global_active_power~Date_Time,
+             type = "l",
+             ylab = "Global Active Power (kilowatts)",
+             xlab = "")  }
+     )
+
+dev.off()
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diff --git a/plot2.png b/plot2.png
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diff --git a/plot3.R b/plot3.R
new file mode 100644
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--- /dev/null
+++ b/plot3.R
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+##Make sure to download and unzip the file (Source = https://d396qusza40orc.cloudfront.net/exdata%2Fdata%2Fhousehold_power_consumption.zip)
+##set your working directory and check that "household_power_consumption.txt" is located inside
+##list.files() = "household_power_consumption.txt"
+
+
+##Read in the "household_power_consumption.txt"
+Full_Data_Frame <- read.table("household_power_consumption.txt", 
+                              header = T,
+                              sep = ';',
+                              na.strings = "?",
+                              nrows = 2075259,
+                              check.names = F,
+                              stringsAsFactors = F,
+                              comment.char = "",
+                              quote = '\"')
+
+
+##Subsett just the two days we need ("1/2/2007" & "2/2/2007")
+Data <- subset(Full_Data_Frame, 
+               Date %in% c("1/2/2007",
+                           "2/2/2007"))
+
+
+##Convert Date & Time
+Data$Date <- as.Date(Data$Date,
+                     format = "%d/%m/%Y")
+
+Data$Time <- format(Data$Time,
+                    format = "%H:%M:%S")
+
+
+##Combine $Date & $Time
+Date_Time <- paste(as.Date(Data$Date),
+                   Data$Time)
+
+
+##Convert "Date_Time" to POSIXct and add it to "Data" as a new column
+Data$Date_Time <- as.POSIXct(Date_Time)
+
+
+##Plot "Date_Time" & "Global_active_power"
+png("plot3.png",
+    width = 480,
+    height = 480)
+
+with(Data, 
+     {  plot(Sub_metering_1~Date_Time, 
+             type = "l",
+             ylab = "Energy sub metering",
+             xlab = "")
+       
+        lines(Sub_metering_2~Date_Time,
+              col = 'Red')
+        
+        lines(Sub_metering_3~Date_Time,
+              col = 'Blue') }
+     )
+
+##Add the legend
+legend("topright",
+       col=c("black",
+             "red",
+             "blue"),
+       lty=1,
+       lwd=2, 
+       legend = c("Sub_metering_1",
+                  "Sub_metering_2",
+                  "Sub_metering_3"))
+
+
+dev.off()
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diff --git a/plot3.png b/plot3.png
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diff --git a/plot4.R b/plot4.R
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--- /dev/null
+++ b/plot4.R
@@ -0,0 +1,93 @@
+##Make sure to download and unzip the file (Source = https://d396qusza40orc.cloudfront.net/exdata%2Fdata%2Fhousehold_power_consumption.zip)
+##set your working directory and check that "household_power_consumption.txt" is located inside
+##list.files() = "household_power_consumption.txt"
+
+
+##Read in the "household_power_consumption.txt"
+Full_Data_Frame <- read.table("household_power_consumption.txt", 
+                              header=T, sep=';',
+                              na.strings="?", 
+                              nrows=2075259,
+                              check.names=F,
+                              stringsAsFactors=F,
+                              comment.char="",
+                              quote='\"')
+
+
+##Subsett just the two days we need ("1/2/2007" & "2/2/2007")
+Data <- subset(Full_Data_Frame, 
+               Date %in% c("1/2/2007",
+                           "2/2/2007"))
+
+
+##Convert Date & Time
+Data$Date <- as.Date(Data$Date,
+                     format = "%d/%m/%Y")
+
+Data$Time <- format(Data$Time,
+                    format = "%H:%M:%S")
+
+
+##Combine $Date & $Time
+Date_Time <- paste(as.Date(Data$Date),
+                   Data$Time)
+
+
+##Convert "Date_Time" to POSIXct and add it to "Data" as a new column
+Data$Date_Time <- as.POSIXct(Date_Time)
+
+
+##Save
+png("plot4.png",
+    width = 480,
+    height = 480)
+
+
+##Set the parameters for the graphs
+par(mfrow = c(2,2),
+    mar = c(4,4,2,1),
+    oma = c(0,0,2,0))
+
+
+##Plotting (Using 1 function)
+with(Data,
+     {  plot(Global_active_power~Date_Time,
+             type = "l",
+             ylab = "Global Active Power",
+             xlab = "")
+       
+        plot(Voltage~Date_Time,
+             type = "l",
+             ylab = "Voltage",
+             xlab = "")
+        
+        plot(Sub_metering_1~Date_Time,
+             type = "l",
+             ylab = "Energy sub metering",
+             xlab = "")
+          
+            lines(Sub_metering_2~Date_Time,
+                col = 'Red')
+          
+            lines(Sub_metering_3~Date_Time,
+                  col = 'Blue')
+            
+                legend("topright",
+                       col = c("black",
+                               "red",
+                               "blue"),
+                       lty=1,
+                       lwd=2,
+                       bty="n",
+                       legend = c("Sub_metering_1",
+                                  "Sub_metering_2",
+                                  "Sub_metering_3"))
+        
+        plot(Global_reactive_power~Date_Time,
+             type = "l",
+             ylab = "Global_reactive_power",
+             xlab = "") }
+     )
+
+
+dev.off()
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