How do you interpret the quartiles?

Quartiles are statistical values that divide a dataset into four equal parts, providing insights into its distribution. The first quartile (Q1) represents the 25th percentile, indicating that 25% of the data falls below this value. The second quartile (Q2) is the median, marking the midpoint where 50% of the data lies below and 50% above. The third quartile (Q3) corresponds to the 75th percentile, meaning that 75% of the data is below this value, helping to understand the spread and variability within the dataset.