ANOVA & Tukey Test for Biologist| ANOVA in R|Data Analysis with ggplot Visualization|Statistics

In this detailed tutorial, I'll walk you through how to perform ANOVA (Analysis of Variance) and Tukey’s post-hoc test in R step by step. We'll analyze a dataset and visualize the results using ggplot2 to create meaningful bar plots with error bars and Tukey’s test results.

Whether you're new to R or want to reinforce your data analysis skills, this video provides a comprehensive explanation, complete with R code breakdown and interpretations.
What You'll Learn:

How to read and understand a dataset in R.
Performing ANOVA to test for significant differences between group means.
Conducting Tukey’s HSD (Honest Significant Difference) test for post-hoc comparisons.
Creating clear and informative visualizations using ggplot2.
Interpretation of Tukey’s test results and adding them to plots for better insights.
💡 Knowledge & Education:

📊 Data Analysis
📈 Statistics in R
📉 Data Visualization
📘 Data Science

🔧 Tools & Platforms:

🖥️ R Programming
📍 ggplot2
🧪 Tukey's HSD Test
🧮 ANOVA Analysis

R tutorial
ANOVA in R
Tukey’s test R
Data analysis with ggplot2
Statistics in R
ANOVA and Tukey’s test explained
Data visualization in R
ggplot2 bar plot with error bars
Statistical analysis in R for beginners