diff --git a/Clustering/1-Visualize/README.md b/Clustering/1-Visualize/README.md
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@@ -8,8 +8,6 @@ Clustering is a type of [Unsupervised Learning](https://wikipedia.org/wiki/Unsup
 ## [Pre-lecture quiz](https://jolly-sea-0a877260f.azurestaticapps.net/quiz/25/)
 ### Introduction
 
-> TODO infographic
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 [Clustering](https://link.springer.com/referenceworkentry/10.1007%2F978-0-387-30164-8_124) is very useful for data exploration. Let's see if it can help discover trends and patterns in the way Nigerian audiences consume music.
 
 ✅ Take a minute to think about the uses of clustering. In real life, clustering happens whenever you have a pile of laundry and need to sort out your family members' clothes 🧦👕👖🩲. In data science, clustering happens when trying to analyze a user's preferences, or determine the characteristics of any unlabeled dataset. Clustering, in a way, helps make sense of chaos.