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zakruti.com » Knowledge, science, education » Crash Course
Charts Are Like Pasta - Data Visualization Part 1: Crash Course Statistics #5

Charts Are Like Pasta - Data Visualization Part 1: Crash Course Statistics #5

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Rating: 4.0; Vote: 1
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 information with charts and graphs. There are two types of data we encounter, categorical and quantitative data, and they likewise require different types of visualizations. Today we'll focus on bar charts, pie charts, pictographs, and histograms and show you what they can and cannot tell us about their underlying data as well as some of the ways they can be misused to misinform
Date: 2022-04-04

Comments and reviews: 10


Dear Adriene,
Thanks for the superb content
I have some doubts
-if mean is so sensitive to outliers and such a bad representation of the overall data why is it most frequently used measure? Wouldnt it make more sense to use median/mode?
-Is not standard deviation just a -mean-? then also like three measures of central tendency (mean, mode and median) are there three measures of spread as well 1)similar to mean - standard deviation
2) similar to mode -?
3)simular to median -?

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I would understand if the amount of olive oil is excessive if it's not being used. Then you would have to consider how many people are living there, and how many flatmates you have. I live at a 5 bedroom area with a big family, so the largest amount you've described is suitable for our family. Then if we had guests we would need more olive oil than most. Also, considering the fact that my siblings cook and bake, that's an expected amount.
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Ahhh. I failed a Stat course in the university, I had to resit it: I didn't know it could be this interesting, but I always knew it was important.
This is the second time I'm watching these set of videos.
I see that the key for most people is to make the matter relatable. Not just learning about Standard deviation- I see its usefulness in the real world.
Thanks Crash Course!

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Subsequent to watching this, I just realized something. I've been actively lied to by things I thought were scientifically backed up. This is especially true for the 'binning' techniques which deform the data in a pathetic yet admittedly genius way. It is of course not providing 'false' information, but it manipulates its audience into thinking a specific way, when in fact, it is not.
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Minor detail - Histograms depict value of the data not by height by the area of the corresponding bar since you can have histograms consisting of bars with unequal width. For example in cases of histograms made for continuous data which is binned into bins of unequal sizes (like age groups)
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-pie charts are useful because our eyes are good at comparing slices- This is actually the absolute opposite of the truth. At this point in academic science, it's essentially recommended to just not use pie charts at all, because we're really bad at parsing them correctly
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For the sake of the god, I know you people are from America and you use the imperial system, but the rest of the world don't and you have pretty much the huge number of the people from outside the States. Can you please use the metric system, please. I
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Does the statistic on the likelyhood to die suffocating on food assume that death is imminent within the given year? Should the probability not be a lot smaller considering the amount of people who DON'T die during a given year?
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How do only 10% of your family think statistics are scary?
Probably because those 10% are the only ones who learned statistics in school. Just like the guy who put a sliced avocado with its core on a sandwich.

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I love these series! I am studying Psychology and I get so excited watching these videos because they are so insightful and logical. Your explanations are really good, thank you so much!
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