diff --git a/seed/challenges/04-data-visualization/data-visualization-with-d3.json b/seed/challenges/04-data-visualization/data-visualization-with-d3.json
index 021391216e..2f1b567d2e 100644
--- a/seed/challenges/04-data-visualization/data-visualization-with-d3.json
+++ b/seed/challenges/04-data-visualization/data-visualization-with-d3.json
@@ -497,7 +497,7 @@
"SVG is used to make common geometric shapes. Since D3 maps data into a visual representation, it uses SVG to create the shapes for the visualization. SVG shapes for a web page must go within an HTML svg
tag.",
"CSS can be scalable when styles use relative units (such as vh
, vw
, or percentages), but using SVG is more flexible to build data visualizations.",
"
svg
node to the body
using append()
. Give it a width
attribute of 500 and a height
attribute of 100 using the attr()
method for each. You'll see it in the output because there's a background-color
of pink applied to it in the style
tag.",
+ "Add an svg
node to the body
using append()
. Give it a width
attribute set to the provided w
constant and a height
attribute set to the provided h
constant using the attr()
method for each. You'll see it in the output because there's a background-color
of pink applied to it in the style
tag.",
"Note