SP16-BCS-072.docx - Muhammad Zaheer SP16-BCS-072 Assignment...

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Muhammad Zaheer SP16-BCS-072 Assignment No. 1 Exploratory vs Explanatory Analysis Exploratory: Exploratory data visualizations are appropriate when you have a whole bunch of data and you’re not sure what’s in it . When you need to get a sense of what’s inside your data set, translating it into a visual medium can help you quickly identify its features, including interesting curves, lines, trends, or anomalous outliers. Exploration is generally best done at a high level of granularity. There may be a whole lot of noise in your data, but if you oversimplify or strip out too much information, you could end up missing something important. This type of visualization is typically part of the data analysis phase, and is used to find the story the data has to tell you . Explanatory: By contrast, explanatory data visualization is appropriate when you already know what the data has to say, and you are trying to tell that story to somebody else . It could be the

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