Boxplot

source: http://donshare.blogspot.com/

Boxplots take numerical datasets and summarize them into five values - three of which are called "quartiles". The first (Q1) represents the dataset's 25th percentile, the second (Q2) is the median representing the 50th percentile, the third (Q3) is the upper quartiles representing the 75th percentile. The other two summarized values are the dataset's observed minimum and maximum numbers. Boxplots are effective in visualizing research data because the reader is able to quickly determine where the "bulk" of the data rests while have an idea of the outliers as well.