Module #3 Adobe Illustrator

 


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Module 7 Assignment

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  For this assignment, I chose to analyze the distribution of the mtcars dataset, which is readily available in R. The mtcars dataset contains information about various characteristics of different car models, such as miles per gallon (mpg), number of cylinders (cyl), and horsepower (hp), among others. To start, I imported the mtcars dataset into RStudio using the following code: R ``` data(mtcars) ``` Next, I performed a distribution analysis on three variables from the mtcars dataset: mpg, cyl, and hp. I used histograms to visualize the distribution of each variable individually and then created a grid of histograms to compare their distributions side by side. Here's the R code to create the grid of histograms: R ``` # Load necessary libraries library(gridExtra) # Create histograms for each variable mpg_hist <- hist(mtcars$mpg, main = "Distribution of MPG", xlab = "MPG", col = "lightblue") cyl_hist <- hist(mtcars$cyl, main = "Distribution ...
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Module 13

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Module 11

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Module 11  ```R # Load necessary library library(ggplot2) # Define data x <- 1967:1977 y <- c(0.5, 1.8, 4.6, 5.3, 5.3, 5.7, 5.4, 5, 5.5, 6, 5) # Create data frame data <- data.frame(x = x, y = y) # Create dot-dash plot using ggplot2 ggplot(data, aes(x = x, y = y)) +   geom_point() +  # Add points   geom_line(linetype = "dashed") +  # Add dashed lines   labs(x = "", y = "Per capita budget expenditures in constant dollars") +  # Labels   theme_minimal() +  # Minimal theme   theme(axis.text.x = element_text(family = "serif"),  # Set x-axis font         axis.text.y = element_text(family = "serif"))  # Set y-axis font ``` This code will generate a dot-dash plot using ggplot2, with dots representing each data point and dashed lines connecting them. The x-axis represents the years from 1967 to 1977, and the y-axis represents the per capita budget expenditures in constant dollars. Adjustments to the font fa...
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