| title | date | authors | filetype | |
|---|---|---|---|---|
Data Literate Documents: an initial outline |
2021-05-17 |
|
blog |
This is a "braindump" of a vision for "data literate documents" derived from the experience i would like to have publishing and sharing data and data driven documents.
The basic need I have is:
I want to write something like a README (in markdown) with data and vis in it, preview it and publish it ...
I want to do this in a way that is simple and sustainable - I want to know this material will still be around and accessible in 5 or 10y (at the least). This likely means not doing this in a proprietary format or in a proprietary platform.
- Markdown is becoming a lingua franca for writing developer and even research docs
- It's quick and ascii-like
- It's widely supported
- It's extensible ...
- Frontend tooling is rapidly evolving ...
- The distant between code and a tool is declining => I might as well write code ... (rather than using a specific tool to analysis and visualize data)
- MDX = Markdown + react
- RStudio did this a while ago ...
- Missing part is data ...
- You have juputer notebooks etc ... => they are quite high end / geeky ...
Notebooks (jupyter, literate programming) ⟹
- Write text and code together
- Write code like in a terminal
- Data oriented
# Global Solar Supply (Annual)
Solar energy supply globally.
Source: International Energy Association https://www.iea.org/reports/solar-pv.
| Year | Generation (TWh) | % of total energy |
|--|--|
|2008|12|
|2009|20|
|2010|32|
|2011|63|
|2012|99|
|2013|139|
|2014|190|
|2015|251|
|2016|329|
|2017|444|
|2018|585|
|2019|720| 2.7 |Europe Brent Spot Prices (Annual/ Monthly/ Weekly/ Daily) from U.S. Energy Information Administration (EIA).
Source: https://www.eia.gov/dnav/pet/hist/RBRTEd.htm
R Markdown - https://rmarkdown.rstudio.com
Use a productive notebook interface to weave together narrative text and code to produce elegantly formatted output.