A separate issue is that the zero on temperature scales is arbitrary (unless you're using Kelvin). So there's really no utility in zero-indexing.

Ryan, there is a hidden connection between the two issues, though, which is that temperature has an arbitrary zero because, like time, it naturally falls into a role as an interval quantity. No one setting out to create a scale of length or mass would have given them a zero at any other place than actual zero.

Strange how no one plotting a graph of years feels the need to show every year since 1 AD, unless the timescale really is that long.

I think one of the easiest ways to determine a valid range for a dataset is to use history as context.

What happens if the last 1000 years range was used as the temperature range for the last 100 years? It should get you to a good magnitude.

In addition (also, if history isn't available), use a range with relevant points for resulting or correlated events/conditions. To use the body temperature example - mark the point of sickness, unconsiousness, death for varying body temperatures - those points will stear you to a good range.

As derek points out, if you are on an interval scale (rather than a ratio scale) you have no true zero, so starting at zero doesn't make sense.

Consider, for example, IQ (normed to a mean of 100, standard deviation of 15). [or SAT scores, which have similar norming] In these cases, starting the y axis at 0 is deceptive rather than a "best practice".

Meant to include this: that's why bar graphs should only be used for ratio scales, not interval scales.

I know the convention but it seems pretty arbitrary to force bar charts to have a zero point but not also line charts.

@Mike -
It may seem it at first glance, but it is not arbitrary at all.

The entire point is that a bar chart display data specifically by its length, which represents the entirety of the data that makes up that point - therefore requiring a 0 base to accurately show the measure that it represents.

Showing two bars side by side, where the first bar is twice as long as the other, tells the viewer that the first measure is twice as much as the other...

If you aren't starting from 0, then this impression is wrong, and the chart misleading.

So, if you are making a chart where a 0 base in not appropriate, then neither is a bar chart.

Because I grew up with the Celsius scale, I do associate significance with zero degrees. It's the freezing point. But this discussion is illuminating. For many quantities, the relevant reference range is the historical variance-which furthers the point that a bar chart is inappropriate whether it starts at zero or not.

The reason why it does not start at zero is to simply exaggerate.
When most look at the graph, they see the large distance between the tops of the bars, and use that as their scale, which is why it is majorly misleading. Go to the following link if you want to see the actual history of earths temperature over 800,000 years:
There you will see a temperature scale that is relevant,
and if you want to look at more images go here:
http://en.wikipedia.org/wiki/Temperature_record

Hi

You should watch The Great Global Warming Swindle https://www.youtube.com/watch?v=D-m09lKtYT4
and after that we can discuss.

I am scientist and professor who has published many peer reviewed articles and has been a peer reviewer for over 1200 manuscripts. Scientists always use the narrowest y axis scale possible that easily fits in the full range of values or expected values. When temperature anomalies vary by 2 oC at most, the y axis range would be something like 2 or 2.3 oC. Graphs of the type recommended in this post would never by published in a science article. There is no point hiding what you are studying. At pointed out in another post, 0 is a very arbitrary value for temperature. I often measure growth rates that might vary from -0.2 to +0.5 per day. So my Y axis ranged from about -0.35 to + 0.65 to accommodate error bars.

This is only a preview. Your comment has not yet been posted.

Your comment could not be posted. Error type:
Your comment has been posted. Post another comment

The letters and numbers you entered did not match the image. Please try again.

As a final step before posting your comment, enter the letters and numbers you see in the image below. This prevents automated programs from posting comments.

Having trouble reading this image? View an alternate.

(Name is required. Email address will not be displayed with the comment.)

## NEW BOOTCAMP

See our curriculum, instructors. Apply.
Marketing analytics and data visualization expert. Author and Speaker. Currently at Columbia. See my full bio.

## Book Blog

Graphics design by Amanda Lee