Seems fine to me, the axes are easy to understand and there would be a lot of unnecessary whitespace otherwise. Though, it does require some reading comprehension, and that one actually looks at it and not just skims over.
I agree that this way of displaying the data is appropriate, but it would be nice to have a very visible indicator of this. Some kind of highlighted “fold” line or something at the very bottom of the chart, maybe. If I can deduce the units from context, and the trend is more interesting than absolute numbers, then I’m not going to look at the axes most of the time
This reading comprehension joke it overused and it doesn’t even make sense here. It’s well-known that you need at least one of those little zigzag indicators when the graph doesn’t start at 0 in most cases to avoid people misinterpreting the graph and to make it much more visually clear.
I was of the impression that reading a graph also required understanding of regular writing/reading, but I’m no native speaker, so I’ll gladly stand corrected.
I’m not sure what you mean by “one of those little zigzag indicators”, do you perhaps mean leap/break in data denoted by the “Squiggle”? I don’t think any data below 7m is included in this graph, so, if I understand you correctly, then that wouldn’t be a proper use of said squiggle.
Yes, I mean an axis break to denote that part of the axis has been omitted. Using it to show a gap between 0 and the lowest included data in the dataset is very common and is a proper use even according to your own source:
A zigzag on the line of the x- or y-axis in a line or a bar graph indicating that the data being displayed does not include all of the values that exist on the number line being used
Beginning the Y axis at 0 and using an axis break to go from there to 7 million allows you to see the same amount of detail as you can in the OP, while visually signalling to the reader that the scale on that axis does not show a full 0 to 10 million range. This increases the chance that they’ll read the graph correctly. You can justifiably blame someone for reading it wrong, but the point of a graph is to communicate, so minimizing the chance for misinterpretation is a good idea.
Using compressed axes to display data was literally “How to identify misleading statistics 101” in middle school for us…
It seems fine to you but for the majority of people it’s misleading most people look at the lines and the relative distance between them to make judgment calls. Not literally the entire point of graphs, to visually display information.
This is a well-known effect and is taught in pretty much every major curriculum.
And the above was literally how I was thought to represent data in university. Maximize the areas of interest, make sure to properly label your axes (lest they become misleading), and remember to trim empty space where relevant.
But it appears that proper graphs for science and engineering reports may not be used for representing data to the common man, as it must be assumed that, even for the most simple of graphs, the common man will only look at the funny line, but not the graph itself.
There’s a difference between data display for academia and data display for the general public.
The general public is generally not well educated on understanding the data that’s presented to them. Big change in line up or down regardless of scale means big change. It could be from 100 to 100.8, but if the scale is zoomed in then that could be presented as a +80% change.
And often is and sometimes with the axes removed and shown on the news specifically to be manipulative.
I really don’t understand why I’m being downvoted above… This was literally part of my grade school education on identifying and avoiding misinformation. And later on, around how the general public understands data visualizations. They are largely understood at a glance and taken at face value without reading the axes.
This is a easy way to push misinformation. Not by actually pushing real misinformation but by taking advantage of the general public’s tendency to not read it carefully.
Which is manipulative. Which is why it’s taught in some places as part of the standard educational curriculum…
I hate the fact that the vertical axis starts at 7 million, making the drop seem deceptively large
Seems fine to me, the axes are easy to understand and there would be a lot of unnecessary whitespace otherwise. Though, it does require some reading comprehension, and that one actually looks at it and not just skims over.
I agree that this way of displaying the data is appropriate, but it would be nice to have a very visible indicator of this. Some kind of highlighted “fold” line or something at the very bottom of the chart, maybe. If I can deduce the units from context, and the trend is more interesting than absolute numbers, then I’m not going to look at the axes most of the time
This reading comprehension joke it overused and it doesn’t even make sense here. It’s well-known that you need at least one of those little zigzag indicators when the graph doesn’t start at 0 in most cases to avoid people misinterpreting the graph and to make it much more visually clear.
I was of the impression that reading a graph also required understanding of regular writing/reading, but I’m no native speaker, so I’ll gladly stand corrected.
I’m not sure what you mean by “one of those little zigzag indicators”, do you perhaps mean leap/break in data denoted by the “Squiggle”? I don’t think any data below 7m is included in this graph, so, if I understand you correctly, then that wouldn’t be a proper use of said squiggle.
Yes, I mean an axis break to denote that part of the axis has been omitted. Using it to show a gap between 0 and the lowest included data in the dataset is very common and is a proper use even according to your own source:
Beginning the Y axis at 0 and using an axis break to go from there to 7 million allows you to see the same amount of detail as you can in the OP, while visually signalling to the reader that the scale on that axis does not show a full 0 to 10 million range. This increases the chance that they’ll read the graph correctly. You can justifiably blame someone for reading it wrong, but the point of a graph is to communicate, so minimizing the chance for misinterpretation is a good idea.
Using compressed axes to display data was literally “How to identify misleading statistics 101” in middle school for us…
It seems fine to you but for the majority of people it’s misleading most people look at the lines and the relative distance between them to make judgment calls. Not literally the entire point of graphs, to visually display information.
This is a well-known effect and is taught in pretty much every major curriculum.
And the above was literally how I was thought to represent data in university. Maximize the areas of interest, make sure to properly label your axes (lest they become misleading), and remember to trim empty space where relevant.
But it appears that proper graphs for science and engineering reports may not be used for representing data to the common man, as it must be assumed that, even for the most simple of graphs, the common man will only look at the funny line, but not the graph itself.
Yep. You essentially summed up my point.
There’s a difference between data display for academia and data display for the general public.
The general public is generally not well educated on understanding the data that’s presented to them. Big change in line up or down regardless of scale means big change. It could be from 100 to 100.8, but if the scale is zoomed in then that could be presented as a +80% change.
And often is and sometimes with the axes removed and shown on the news specifically to be manipulative.
I really don’t understand why I’m being downvoted above… This was literally part of my grade school education on identifying and avoiding misinformation. And later on, around how the general public understands data visualizations. They are largely understood at a glance and taken at face value without reading the axes.
This is a easy way to push misinformation. Not by actually pushing real misinformation but by taking advantage of the general public’s tendency to not read it carefully.
Which is manipulative. Which is why it’s taught in some places as part of the standard educational curriculum…