title: How to visualize k-means of multiple columns
body: <p>i'm not a datascientist however i am intriuged with datascience, machine learning etc etc..</p>
  
  <p>in my efforts to understand all of this i am continiously making a dataset (daily scraping) of grand exchange prices of one of my favourite games Old School runescape.</p>
  
  <p>one of my goals is to pick a set of stocks/items that would give me the most profit. currently i am trying out clustering with k-means, to find stocks that are similar to eachother based on some basic features that i could think of.</p>
  
  <p>however i have no clue if what i'm doing is correct, 
  for example:</p>
  
  <p>( y = kmeans.fit_predict(df_items) my item_id is included with this, so is it actualy considering item_id as a feature now?)</p>
  
  <p>and how do i even visualise the outcome of this i mean what goes on the x axis and what goes on the y axis, i have multiple columns...</p>
  
  <p><a href="https://github.com/extreme4all/OSRS_DataSet/blob/master/NoteBooks/Stock%20Picking.ipynb" rel="nofollow noreferrer">https://github.com/extreme4all/OSRS_DataSet/blob/master/NoteBooks/Stock%20Picking.ipynb</a></p>