Confusing Graphs

The graph talks about whether it is worth taking loans for a college degree. At first glance, it seems clear to readers that the answer is a big no, that the earnings of a 4-year degree are no

Misleading graphs are abound on the internet. Sometimes they are deliberately misleading, other times the people creating the graphs don't fully understand the data they are presenting. quotClassicquot cases of misleading graphs include leaving out data, not labeling data properly, or skipping numbers on the vertical axis. I came across the following misleading graphic in a recent Forbes

On graphs, the bottom line starting on the left and going right is the x-axis. On the left side, the temperature range is indicated. It shows the change in average temperature for each year relative to the temperature in the year 1 CE. That left side line with increments of some important variable is the y-axis. In some cases, the x-axis

The confusing nature of these graphs is only amplified by their attempt to convey complex information in the most convoluted way possible. Whether it's a line graph that spirals into nonsense or an infographic that somehow manages to obscure the very facts it's trying to highlight, these examples serve as both a cautionary tale and a source

The representation of numbers in graphs should be proportional to the numbers themselves. Otherwise, they mislead or deceive. Examples of misleading graphs not drawn to scale and a figure with

Misleading graphs are sometimes deliberately misleading and sometimes it's just a case of people not understanding the data behind the graph they create. The quotclassicquot types of misleading graphs include cases where The Vertical scale is too big or too small, or skips numbers, or doesn't start at zero. The graph isn't labeled properly.

Website Misleading Axes on Graphs. Reading for a module for the course Calling Bullshit at the University of Washington. The reading describes how best to use axes on graphs. Book Alberto Cairo 2020 How Charts Lie Getting Smarter About Visual Information,W.W. Norton amp Company. In-depth guide on how charts can mislead us.

Misleading graph by cherry picking 15 years that invalidates global warming and ignores all other years. Indeed, from the graph, it seems that temperature has been stable for a few years. However, this graph is highly misleading! The graph cherry picked the 15 years that validate their claims while ignoring anything that happened up to that point.

The result is very confusing and may be misleading. Misleading Pie Charts. One of the most common, when it comes to misleading data visualization examples, is the pie charts. By definition, a complete pie chart always represents a total of 100. The graph contains too much information and the lines make it hard to distinguish any data point

Cumulative data is when you add successive inputs in the data model to ensure that the graph only rises after each input. Whereas annual data will show the data for each year. The individual years could be increasing or decreasing which paints a truer picture of the situation. Surely you have seen the Worldometer COVID-19 graph or similar graphs.