diff --git a/Q1Script.R b/Q1Script.R new file mode 100644 index 0000000..f20f87f --- /dev/null +++ b/Q1Script.R @@ -0,0 +1,14 @@ +library('ggplot2') + +data <- read.table(file = 'StockData.txt',header=TRUE) + +plot <- ggplot(data, aes(x = AAPL,y = S.P)) + + geom_point() + + xlab('AAPL Daily Return') + + ylab('S&P Daily Return') + + stat_smooth(method = 'lm') + + labs(title = 'Daily Returns of AAPL and S&P500') + + theme_classic() + +ggsave('Q1_plot1.jpg', plot = plot, width = 12, height = 8, dpi = 500) + diff --git a/Q1_plot1.jpg b/Q1_plot1.jpg new file mode 100644 index 0000000..eab46cf Binary files /dev/null and b/Q1_plot1.jpg differ diff --git a/Q2Script.R b/Q2Script.R new file mode 100644 index 0000000..57ad242 --- /dev/null +++ b/Q2Script.R @@ -0,0 +1,22 @@ +library('ggplot2') + +data <- read.table(file = 'data.txt', header = TRUE, sep = ',') + +plot1 <- ggplot(data, aes(x = region, y = observations)) + + stat_summary(fun = mean, geom = 'bar') + + scale_y_continuous(expand = c(0,0)) + + theme_classic() + +plot2 <- ggplot(data, aes(x = region, y = observations, color = region)) + + geom_jitter() + + scale_y_continuous(expand = c(0,0)) + + theme_classic() + +#The two plots tell a different story. The barplot loses some information about the data set +#since it only shows the averages of the data, and nothing about the distribution of the +#points within the set. The scatterplot shows that even though these data have similar means, +#their distribution patterns are different + +ggsave('Q2_plot1.jpg', plot = plot1, width = 12, height = 8, dpi = 500) +ggsave('Q2_plot2.jpg', plot = plot2, width = 12, height = 8, dpi = 500) + diff --git a/Q2_plot1.jpg b/Q2_plot1.jpg new file mode 100644 index 0000000..33274aa Binary files /dev/null and b/Q2_plot1.jpg differ diff --git a/Q2_plot2.jpg b/Q2_plot2.jpg new file mode 100644 index 0000000..9b0f52d Binary files /dev/null and b/Q2_plot2.jpg differ diff --git a/StockData.txt b/StockData.txt new file mode 100644 index 0000000..111ddff --- /dev/null +++ b/StockData.txt @@ -0,0 +1,758 @@ +AAPL S&P +-0.008537838 -0.005740942 +0.001176248 -0.000782272 +-0.003532741 0.001702023 +-0.015397146 -0.014306008 +-0.000342259 0.001480701 +-0.022915145 -0.001845688 +-0.014230613 -0.02548489 +-0.023428964 -0.021189833 +0.046379509 0.026795026 +-0.025975559 -0.017427312 +-0.011110504 -0.002920874 +0.007778543 0.013675733 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