image_path stringlengths 19 21 | description stringlengths 0 1.58k |
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images/image_100.jpeg | The reason this chart makes it here is due to the atrocious colour scheme, and the way the legend is placed. If you want to know which is the highest weighted stock in the S&P500 at different points in time (which is what colours in the lower line indicate), it’s not going to be easy.You need to keep looking back and f... |
images/image_101.jpeg | Intent is good - trying to show how much of land is used for what, but several problems1. Human eye can’t easily measure areas. So relative sizes of different uses (apart from that cow/pasture range is the largest), is hard to guess2. You don’t know where to look to find what. If I want to know “how much do roads occup... |
images/image_102.jpeg | My big problem here is with the use of circles to denote size. Remember that the human eye can’t compare areas clearly? Also when you use circles, it’s not clear if the magnitude is encoded in the diameter or the area of the circle. So without those numbers there, it would be very hard to determine the size of Ant Fina... |
images/image_103.jpeg | This map gives out absolutely no information. Maybe it’s the colour scheme (grey background) and the colour and size of the dots chosen, but I can’t make out much apart from the fact that there seems to be a lot of red. How would I do this differently? For starters, I don’t think the map is the right representation, un... |
images/image_104.jpeg | It’s somewhat excusable when a “normal” chart made for corporate or journalistic purposes is badly made, since the maker of the chart may not be an expert. But then when a visualisation that seeks to teach what charts to use when does it badly, it is inexcusable. Leaving aside the recommendations for a bit, the “flowch... |
images/image_105.jpeg | There’s almost nothing right with this chart. What is even the point of the spiral? How can you find a country in this? How can you read some of the numbers? Why couldn’t we use a simple bar chart (with horizontal bars since there are so many)? And the atrocious colour scheme is the least of the problems. Source: https... |
images/image_106.jpeg | One of the fundamental principles of visualisation is that the human eye can’t really see measure areas easily (lengths, on the other hand, are more intuitive). This is also the primary criticism of pie charts and bubble charts. While this graph is no doubt an interesting way to see how interesting a set of playoffs wa... |
images/image_107.jpeg | 1. Too many significant digits in each graph2. Legends placed really badly. You need to hunt for them3. The two lines in each graph will add up to a 100%. So maybe they could’ve combined the two lines into one, simply showing the “percentage placed”? Then the two graphs would’ve been on the same scale, and could’ve bee... |
images/image_108.jpeg | It’s downright dishonest to start bar graphs anywhere except zero. The information in bar graphs is contained in the length of the bar, not the position of the top. So truncating bar graphs gives a warped view of proportions, and is thus taboo. Source: https://twitter.com/pravchak/status/999512831254032384 |
images/image_109.jpeg | Choropleth again, but we need to move our head back and forth between the two charts (not to mention their respective legends) in order to make any correlations. And even then, there’s nothing clear from the two pictures. Much better presented as a scatter plot, with geographical information presented separatelySource:... |
images/image_110.jpeg | OK this graph is THE WORST. Where do I start? 1. Pie charts are bad2. Doughnut charts are worse, since it’s not clear if hte magnitude is in the arc length or area of the doughnut3. Legend placed away from chart means you need to keep oscillating between chart and legend4. The colour scheme!! Can’t they choose more con... |
images/image_111.jpeg | This graph can be used to induce fear, that we are in the middle of a big bull run and the bubble will pop soon. But I’m uncomfortable with the way the data has been truncated in the past. Like only the bull runs have been shown, not how the bubble has popped. So it makes you think that the markets simply fall off a cl... |
images/image_112.jpeg | Decent graph, but information could have been represented much better with a scatter plot (with forward passes, and sideways passes representing the two axes). While this format shows a lot of data, the problem is that it is hard to look for a team in this, and nothing stands out. Source: https://twitter.com/shijith/st... |
images/image_113.jpeg | The scatter plot is fine, but the author of this graph has tried to force fit categorisations to the data points, giving all these weird amoebic shapes. The only thing the weirdness of the shapes conveys to me is that there is possibly not that much of a relationship between geography and where a country lies on this c... |
images/image_114.jpeg | This is a decent stacked bar chart, and shows the right amount of information (like the percentage symbol only mentioned once). But until you see the legend, you don’t realise there are supposed to be four colours in the graph, not three. And that’s because the colours chosen are too close to each other (I understand t... |
images/image_115.jpeg | First of all, using bar charts for time series is not a great practice, but my concern with this chart is with the use of default Excel format. First, the bars are too far away from each other. Secondly, the colours aren’t great. When you make charts in Excel, always remember to “flatten” the colours and remove any spe... |
images/image_116.jpeg | Pie charts are normally okay when you’re showing only two colours, but you should make sure that the two colours chosen are contrasting. Like in this doughnut chart showing possession, you will have absolutely no information on which team had how much if not for the numbers mentioned there. Atrocious choice of colours!... |
images/image_117.jpeg | Choropleths (data shown on maps) are a favourite of data journalists, but they have their own problem. Here, the choice of chart is appropriate (apart from the invisible legend), but it’s not clear that hte correlation pointed out here denotes causation (explanation here: https://twitter.com/page_eco/status/98589634353... |
images/image_118.jpeg | |
images/image_119.jpeg | While pie charts are inherently bad, and fail to convey information, this one is dishonest as well. For the market capitalisation shares of the 287 companies represented in this chart don’t add up to 100%. And the 282 small companies chosen to compare to the 5 largest - that 282 is a number pulled out of thin air. So n... |
images/image_120.jpeg | Banks continue to outdo themselves with bad graphics. This one is thoroughly unsuited for a stacked bar. First of all, there are too many colours, and similar colours. Similar colours don’t even represent similar assets. It is basically impossible to get any information out of this, even if you were to move your neck b... |
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