Explore New Zealand's Tourist Industry with R and Shiny

New Zealand's Ministry of Business, Innovation and Employment has just released the New Zealand Tourism Dashboard, an interactive application which allows NZ residents (and curious onlookers everywhere) to explore the economic impact of tourism in the far-flung nation. The dashboard is implemented using Shiny, and all of the graphics and analyses were created using the R language 

Each tab at the top of the window leads to a different Shiny application (or a collection of applications) to explore data related to New Zealand tourism. You can explore the types of attractions visited (museums, nature, or Maori activities?), which nationalities visit the most often (Australia, closely followed by China), the types of accommodations preferred by different nationalities (residents of Oceania and Africa tend to stay with friends) and what tourists spend money on (the Chinese spend more of their money on accommodations), and explore the performance of regions within New Zealand (here, Wellington):

You can explore all of the data and reports at the link below. By the way, it's only appropriate that New Zealand use the R language for an application like this: R was created in New Zealand!

New Zealand Ministry of Business, Innovation and Employment: The New Zealand Tourism Dashboard (via Peter Ellis)

Comments

[Robin Ghertner]

Hi,

This is super amazing. I work for a US federal agency and I'm trying to build similar dashboards. I'm wondering, if there is a way to see some of the code behind this to see how certain aspects were built.

Thanks

[GD]

Does anybody know what types of interactive controls are used in that application?

[Juha Sompinmäki]

Wow, very interesting insights. I don't think the tourism authorities have done much to promote this. Did not know that R was developed in NZ either :)

[Peter Ellis]

Source code, minus a few design elements, is now available at https://github.com/nz-mbie/tourism-dashboard-public. The Shiny app will run out of the box; the various 'prep' scripts won't because they depend on Ministry of Business, Innovation and Employment databases; but are included for transparency.

GD - most of those controls are from the dygraphs package.