Charts Are Like Pasta - Data Visualization Part 1: Crash Course Statistics #5
Today we're going to start our two-part unit on data visualization. Up to this point we've discussed raw data - which are just numbers - but usually it's much more useful to represent this...
==========
Hi, I’m Adriene Hill, and this is Crash Course Statistics. So, for the last few episodes we’ve 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 you’ll see them everyday. In the news, on Facebook, in magazines. Maybe I’ll 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. ...
==========
Hi, I’m Adriene Hill, and this is Crash Course Statistics. So, for the last few episodes we’ve 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 you’ll see them everyday. In the news, on Facebook, in magazines. Maybe I’ll 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. ...
