# R Tutorial: Basic Data Analysis
# Step 1: Install and load necessary packages
install.packages("tidyverse")
library(tidyverse)
# Step 2: Import data
data <- read.csv("your_data.csv")
# Step 3: Explore the data
head(data)
summary(data)
# Step 4: Clean and preprocess data
# Replace missing values with the mean
data_clean <- data %>%
mutate_all(~ifelse(is.na(.), mean(., na.rm = TRUE), .))
# Step 5: Visualize the data
# Create a scatter plot
ggplot(data_clean, aes(x = variable1, y = variable2)) +
geom_point() +
labs(title = "Scatter Plot of Variable1 vs. Variable2",
x = "Variable1",
y = "Variable2")
# Step 6: Conduct statistical analysis
# Perform a t-test
t_test_result <- t.test(data_clean$variable1, data_clean$variable2)
print(t_test_result)
# Step 7: Export results
write.csv(t_test_result, "t_test_results.csv")