day_3.qmd

---
title: "Getting data in a programmatic way"
---

```{r setup, include=FALSE}
knitr::opts_chunk$set(echo = TRUE)
```

## Day 3

| **Time (PST)**    | **Activity**                         |
|-------------------|--------------------------------------|
| 10:00am - 11:00am | *Introduction to APIs (50min)*       |
| 11:00am - 11:10am | *Break (10 min)*                     |
| 11:10am - 12:30am | *APIs hands-on (80 min)*             |
| 12:30pm - 1:30pm  | *Lunch (60 min)*                     |
| 1:30pm - 2:00pm   | *Introduction to the group project (30 min)* |
| 2:00pm - 4:00pm   | *Group Projects (120min)*                  |


## Getting Data

## The manual way

Using website to retrieve data is great interactive way to search and explore data of interest. Let's start our day by searching some data on the data repository DateONE: <https://search.dataone.org/data>

In case you need some inspiration, look at this dataset about historic precipitation in Alaska: <https://doi.org/10.5063/N29VCQ>

<br>

## The programmatic way

Although discovering data through a web interface is convenient and offers a great experience, it is often hard to scale this approach or to integrate it into a reproducible workflow.

**[Slides](https://brunj7.github.io/eds214-slides/api.html)**



### Hands-on -- APIs

[**Repository**](https://github.com/brunj7/eds214-handson-api)

---


## Group project

[**Group project**](group_project.html)