Hey there, 

Here’s a simple step-by-step way to load a CSV in Databricks Free Edition: 

Step 1: Upload the file to your workspace (not DBFS) 

1. On the left menu, go to "Workspace". 
2. Right-click any folder (like Shared or your username) → click "Upload". 
3. Choose your 2010_summary.csv file and upload it. 

   This will upload it into the notebook's local directory — not /FileStore. 

Step 2: Use the correct path to read it 

Once uploaded, the file path will look something like this: 

 "/Workspace/Users/your-email-or-folder-name/2010_summary.csv" 

 
But Spark doesn’t read from /Workspace. So here’s a better way: 

Use Databricks Utilities to access it: 

uploaded_path = "dbfs:/tmp/2010_summary.csv" 
dbutils.fs.cp("file:/Workspace/Users/your-folder-name/2010_summary.csv", uploaded_path) 
 

Now read it with Spark: 

df = spark.read.format("csv").option("header", "false").load(uploaded_path) 
df.show(5)