Altair code for Refinery Stats plots.
This repo contains the Altair scripts for generating visuals of Refinery usage. Altair (python library) is used to generate validated Vega-Lite schemas that can be embeded as HTML and reused. A working web example is located here.
You can create a reusable schema by defining a REST API endpoint for refinery-stats.csv and running the Jupyter Notebook again. Just replace the URL:
# add API endpoint below
url = "http://your-url/refinery-usage.csv"
data = alt.UrlData(url)
# define columns at endpoint as below, and normalize the time of each entry
columns = [
"datasets_shared",
"datasets_uploaded",
"groups_created",
"total_user_logins",
"total_visualization_launches",
"total_workflow_launches",
"users_created",
"unique_user_logins",
]chart.json will now serve as a reusable schema. An example of a working example is located here.
The output from Altair is a Vega-Lite schema (chart.json). This chart can be embeded directly into HTML using vega-embed:
<!DOCTYPE html>
<html>
<head>
<!-- Import Vega 4 & Vega-Lite 2 -->
<script src="https://cdn.jsdelivr.net/npm/vega@4"></script>
<script src="https://cdn.jsdelivr.net/npm/vega-lite@2"></script>
<!-- Import vega-embed -->
<script src="https://cdn.jsdelivr.net/npm/vega-embed@3"></script>
</head>
<body>
<div id="vis"></div>
<script type="text/javascript">
var spec = "chart.json";
vegaEmbed('#vis', spec);
</script>
</body>
</html>