From 90ae323b78282db0b996245fbf9dca2c8f4a9845 Mon Sep 17 00:00:00 2001 From: Breck Yunits Date: Mon, 6 Jan 2025 08:37:38 -0800 Subject: [PATCH] --- blog/dataScience.scroll | 15 +++++---------- 1 file changed, 5 insertions(+), 10 deletions(-) diff --git a/blog/dataScience.scroll b/blog/dataScience.scroll index 7c9fc2b3e..ab47ff54d 100644 --- a/blog/dataScience.scroll +++ b/blog/dataScience.scroll @@ -13,6 +13,8 @@ Scroll combines the simplicity of markdown-style syntax with powerful data trans - Load data from various sources (CSV, JSON, etc.) - Transform and analyze data with simple commands - Create beautiful visualizations +- Publish instantly using ScrollHub + https://hub.scroll.pub/ ScrollHub - All in a simple, readable format Let's dive in! @@ -143,17 +145,18 @@ sampleData seattle-weather.csv ## Multiple Views -You can combine multiple visualizations: +You can create multiple visualizations: belowAsCode iris scatterplot x sepal_length y sepal_width - fill Species + fill species barchart x species y sepal_length + fill teal title Sepal Length by Species --- @@ -166,14 +169,6 @@ This tutorial covered the basics of data science with Scroll. Some key takeaways - Complex transformations can be done with simple commands - Everything is readable and version-controllable -For more information, check out: -- The Scroll documentation - https://scroll.pub/tutorial.html -- The Scroll data visualization examples - https://scroll.pub/examples.html -- The complete sample datasets - https://github.com/vega/vega-datasets - **** footer.scroll