| 21 | |

| 22 | == Visual Analysis Methods == |

| 23 | * In statistical analysis visual methods are often preferred. They can encode a lot more data and provide a clearer picture for expert human interpretation. Several possibilities exist, some have already been mentioned: |

| 24 | |

| 25 | ||= Name =||= Example =||= Purpose =|| |

| 26 | || Bubble charts || [[Image(http://upload.wikimedia.org/wikipedia/commons/thumb/8/83/3Variable_BubbleChart.svg/240px-3Variable_BubbleChart.svg.png)]] || Bubbles are fun! || |

| 27 | || Density plots / histograms || [[Image(http://upload.wikimedia.org/wikipedia/commons/thumb/3/37/P_glu_given_diabetes.png/360px-P_glu_given_diabetes.png)]] || Comparing/Estimating the exact shapes of the underlying distributions || |

| 28 | || Boxplots || [[Image(http://upload.wikimedia.org/wikipedia/commons/thumb/f/fa/Michelsonmorley-boxplot.svg/300px-Michelsonmorley-boxplot.svg.png)]] || Compact and efficient comparison of distributions || |

| 29 | || Forest plots || [[Image(http://upload.wikimedia.org/wikipedia/commons/thumb/f/f0/Generic_forest_plot.png/300px-Generic_forest_plot.png)]] || Comparing confidence intervals makes it probably a little more obvious if a result would be significant enough || |

| 30 | || Q-Q plots || [[Image(http://upload.wikimedia.org/wikipedia/commons/thumb/0/08/Normal_normal_qq.svg/300px-Normal_normal_qq.svg.png)]] || Estimating whether data fits a certain distribution || |