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country-level data

Going Deeper into TCdata360 Data Availability Leaders and Laggers

Reg Onglao's picture

Note: This is the second blog of a series of blog posts on data availability within the context of TCdata360, wherein each post will focus on a different aspect of data availability. The first blog post can be viewed here.

With open data comes missing data. In this blog series, we hope to explore data availability by looking at it from various perspectives within the context of the TCdata360 platform[1]: by country, dataset, topic, and indicator.

In our previous blog post, we took a look at the country-level data availability over time through an interactive motion bubble plot inspired by the famous Gapminder visualization. In this follow-up post, we’ll still look at data availability from a geographical lens – but now looking into country classifications and other details that aren’t evident in a bubble plot, as well as the data availability leaders and laggers over time.

Overall Data Availability Leaders and Laggers

First, let’s focus on comparing individual countries to get a better sense of country-level differences in data availability. We computed for each country’s overall data availability by taking the median data availability across all years (1955-2016). Looking at the top 20 and bottom 20 countries in terms of overall data availability generates a few interesting patterns.

Watch the Growth of Trade country-level data availability in TCdata360

Reg Onglao's picture

Note: This is the first blog of a series of blog posts on data availability within the context of TCdata360, wherein each post will focus on a different aspect of data availability.

With open data comes missing data. We know that all indicators are not created equal and some are better covered than others. Ditto for countries in which coverage can range from near universal such as the United States of America to very sparse indeed such as Saint Martin (French part).

TCdata360 is no exception. While our data spans across over 200 countries and 2000+ indicators, our data suffers from some of the same gaps as many other datasets do: uneven coverage and quality. With that basic fact in mind, we have set about exploring what our data gaps tell us — we have 'data-fied' our data gaps so to speak.

In the next few blogs we'll explore our data gaps to identify any patterns we can find within the context of the TCdata360 platform[1] — which countries and regions throw up surprises, which topics are better covered than others, which datasets and indicators grow more 'fashionable' when, and the like. In this first blog, we’ll look at data availability at the country level.