Plan your holiday with weather stats
If you love travelling like me and there‚Äôs a world of options, you may start wondering ‚Äúwhere is a nice place to travel this time of year?‚ÄĚ. And by ‚Äėnice‚Äô, my first thought from living in a mostly cold and wet country is to find a warm and dry paradise. Good global climate data is not easy to find and is often incomplete (most focus on the US), doesn‚Äôt cover many metrics, or in odd formats which require special software. After a long search I managed to find some reliable and readily available weather data thanks to the world bank (who also provide the data for great projects such as gap finder) and produced the visualisation below with a combination of iPython, the World Bank API, Excel (and some data cleansing) and Tableau (with it‚Äôs great mapping capabilities).
Since this is based on current data and projections, you can also see the effects of global climate change (I‚Äôve deliberately avoiding Global Warming since, as you‚Äôll see some places will be cooler, albeit most are indeed warmer) for 2065 and 2100.
For the next stage of this project, I‚Äôd like to find collaborators to help me geo-code this (i.e. get the longitude and latitude of the centre point of the basin). Get in touch on the contact page if you‚Äôre interested and feel you have the right skills. This will provide more detail for areas such as the USA. Other potential extensions includes; inclusion of average flight cost (source: skyscanner scrape or similar?), danger of country (scrape government travel advice?), cost of stay (hotel + restaurant costs?), number and rating of activities (scrape tripadvisor?)