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Hi, Im Adriene Hill, and this is Crash Course Statistics. So, for the last few episodes weve discussed ways to summarize data using numbers. We used measures of central tendency and measures of spread. But sometimes it can be helpful to actually *see* your data in addition to having numbers to describe it. Data visualizations are important to understand because youll see them everyday. In the news, on Facebook, in magazines. Maybe Ill make an infographic of all the places we see data visualizations. INTRO There are two main types of data that we might encounter: categorical and quantitative. Quantitative data are quantities, numbers that have both order and consistent spacing. For example, how many ounces of olive oil are in each American home. If three families told you how many ounces of olive oil they have, you could put them in a meaningful order--from least to greatest, or greatest to least. This order also has consistent spacing, an increase in 1 ounce of olive oil is the sa
