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When I learned to program, I started to come up with all of these ideas that all of the sudden I knew were possible. But I didn't really know how to implement most of them. For instance, I've wanted to be able to use an API to retrieve data and then use that data to make a chart on the fly for quite some time. There's only one problem: I suck at javascript. Without a doubt, charting and making api calls on the front end requires javascript. It also means, working with D3 if you want to do it right. Needless to say, because I am not an excellent javascript (or anything but html, css, and a touch of r for that matter) this "dream" has been an uphill battle. Just getting the data has been a challenge. Needless to say, today I started working on some simple D3 charts. No longer will I wait until I magically become an amazing javascript developer to learn how to make charts.

My notes on getting up and running with vue and axios. this is also the first step in turning my River Flow app which queries the USGS instantaneous flow data from a non server rendering non-route serving app to a Nuxt.js Universal Application (meaning it is rendered on the server before it is served).

My notes on Nuxt.js.

This is a series of notes that works with the DIMA database. The DIMA was produced by the Jornada Research Center for the Assessment Inventory and Monitoring framework.

A method for creating a variable that sequential counts until an binary event occurs in another vairiable.

My last post was about working with the r getlandsat package to work with landsat data from NASA and the USGS. This post will be a brief refinement on that process.