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A dot plot is a simple graphical display used to represent individual data points in a dataset. Each value is represented by a dot above a number line, allowing for easy visualization of frequency and distribution. This type of graph is particularly useful for small datasets, as it clearly shows the occurrence of each value and helps identify patterns or clusters in the data.

Data distribution refers to the way in which data values are spread or arranged across a range. Understanding the distribution helps in identifying patterns such as central tendency, variability, and the presence of outliers. In the context of the life spans of houseflies, analyzing the distribution can reveal insights about the typical lifespan and any variations among the flies.

Patterns in data refer to recognizable trends or regularities that emerge when data is visualized. These can include clusters, gaps, or overall shapes in the graph. Identifying patterns is crucial for drawing conclusions and making predictions based on the data, as it helps to understand the underlying characteristics of the dataset, such as common life spans among houseflies.