From 4ce31ec86fb7cfc610043164be44cd622ea8150e Mon Sep 17 00:00:00 2001
From: Vidushi Gupta <55969597+Vidushi-Gupta@users.noreply.github.com>
Date: Thu, 15 Jun 2023 10:49:54 +0530
Subject: [PATCH] Changed .md to .Rmd and added output format

---
 5-Clustering/1-Visualize/solution/R/lesson_14.md | 12 ++++++++++++
 1 file changed, 12 insertions(+)

diff --git a/5-Clustering/1-Visualize/solution/R/lesson_14.md b/5-Clustering/1-Visualize/solution/R/lesson_14.md
index a6f45562..5b23f12a 100644
--- a/5-Clustering/1-Visualize/solution/R/lesson_14.md
+++ b/5-Clustering/1-Visualize/solution/R/lesson_14.md
@@ -1,3 +1,15 @@
+---
+title: 'Introduction to clustering: Clean, prep and visualize your data'
+output:
+  github_document:
+    df_print: paged
+    theme: flatly
+    highlight: breezedark
+    toc: yes
+    toc_float: yes
+    code_download: yes
+---
+
 ## **Nigerian Music scraped from Spotify - an analysis**
 
 Clustering is a type of [Unsupervised Learning](https://wikipedia.org/wiki/Unsupervised_learning) that presumes that a dataset is unlabelled or that its inputs are not matched with predefined outputs. It uses various algorithms to sort through unlabeled data and provide groupings according to patterns it discerns in the data.