Afterword

ThimphuTech was the first technology blog in Bhutan. We started writing it in 2009, just as broadband and mobile internet started to take off. (Although internet in Bhutan was launched in 1999, it was either super-slow or super-expensive, and was only used by a selected few).

In the blog, we wrote about technology and food, but also about plenty of other stuff. The blog became popular and influential in Bhutan. A companion bi-weekly column -- Ask Boaz -- was published for many years in the Kuensel, Bhutan's national newspaper. (The complete Kuensel columns are available as an ebook, Blogging with Dragons).

We stopped updating the blog when we left Bhutan in 2014, but the information within the posts can still prove useful, and thus we decided to keep it online.

We thank all our readers.
Tashi Delek,
Boaz & Galit.

Saturday, August 25, 2012

Infographics: the good, the bad, and the ugly

Infographics refers to graphic visual representations of information, and data. Local newspapers, magazines, blogs and other media in Bhutan have started joining the infographics wagon, and in particular using charts to convey a story based on data. Charts are a great way to capture the reader's attention, and if done properly, can convey an easily understandable story. As the going says "a picture is worth a thousand words".

Creating an effective chart, however, is not simple and requires understanding the basics of human perception as well as charting basics. A 'bad' chart is one that does not tell the story and is not understandable. An even worse chart ('the ugly') is one that conveys a wrong story. Here are some examples from the last week. Try to figure out the story that each of these charts are telling:

Article #1: Debt-GDP ratio gone through the roof (Kuensel, Aug 22, 2012) 



The story that I see is a an increase over the years, with a huge increase in the last year. But is this the correct story? Here's a less-jazzy chart of the same data. The main difference is that the bar heights are meaningful: they represent the debt amount. You might not have noticed, but the heights of the money sacks does not correspond to the debt amount (look at the 38B sack height, for instance). So the real story is that debt amount have increased over the years, but the largest jump is from 2009-10 to 2010-11 (Nu. 18.6M increase).



Let's look at another infographic. What is the story here? How has bandwidth increased over the years?

Article #2: Look forward to net surfing @ speed of thought (Kuensel, Aug 25, 2012) 

Something is happening in 2012. But when? And how much? Notice that the timeline starts from right (1999) to left, which is the opposite of what we're used to. Next, have you noticed that some years are missing? where is 2011? what about all the years between 1999 and 2006? Let's compare the bandwidth figures: If Kbps, Mbps and Gbps are not your native language, it is quite difficult to compare the numbers at a glance, even with the conversion table given at the top. Here's a simple line chart of the same data that avoids all these pitfalls. We can see exactly which years have data, the correct timeline, and the height represents bandwidth on a single scale. I also made sure to mark the projected number in red.



Now, to our last example of BNB share value:
Article #3: Bonus shares trigger heightened trading (Kuensel, Aug 25, 2012) 




The story here is confusing: what does the height of the yellow area represent? For example, in the last period (Aug 16-24), why is there an increase? Dividing the data into six periods with six yellow strips gives the impression that we're looking at 15-day aggregated numbers. But since the yellow strips are not simply bars, they are probably not at all aggregated numbers. Maybe they are daily share values? If so, then why does the chart display 15-day periods? Confusing!

Unfortunately, I do not have the daily BNB share value figures, so I cannot create a 'good' chart of these data. But here's what I'd do: create a simple line graph of the daily value. I would not confuse this chart with 15-day figures (if that's needed, it can be conveyed in a separate 15-day value line graph).