Finding Weirdness in Temperature Data

Posted to Mistaken Data  |  Nathan Yau

After parsing Weather Underground pages to grab temperature data, it’s time to look at the data. Can’t download all that data and not do anything with it!

First off, in my initial pass of my parsing script, I accidentally cut the month range short, so I didn’t get any data for December from 1980 to 2005. It should be noted that these plots don’t show this missing data. Um, there’s no axes or labels either. Sorry, I got a little lazy, but that’s not the point now anyways.

Notice anything weird about the above plot? There’s some unusually smooth data in the middle. Here’s a zoom in:

Wunder: Inconsistency Highlighted

If we look at the data between 1994 and 1997, there’s oddly a lot of smoothness… hmm… HMMM.

It looks like between that time, there was some interpolation going on. I mean, if that’s all you got, that’s all you got, but I wish WU would at least make note of it or provide some annotation.

Anyways, just another example of data posing to be something else. In my opinion, all data sucks until proven worthwhile.

Favorites

One Dataset, Visualized 25 Ways

“Let the data speak” they say. But what happens when the data rambles on and on?

Shifting Incomes for American Jobs

For various occupations, the difference between the person who makes the most and the one who makes the least can be significant.

Jobs Charted by State and Salary

Jobs and pay can vary a lot depending on where you live, based on 2013 data from the Bureau of Labor Statistics. Here’s an interactive to look.

How You Will Die

So far we’ve seen when you will die and how other people tend to die. Now let’s put the two together to see how and when you will die, given your sex, race, and age.