<jupyter_start><jupyter_text>Basics  load a csv from the following url: https://archive.ics.uci.edu/ml/machine-learning-databases/auto-mpg/<jupyter_code># A good practice is to keep your import statements to the top of your
# notebooks

import pandas as pd
# One thing you should begin practicing early is commenting your code!

# Another good practice is to use descriptive variable names

url = ""


df = 
# now print the first 5 rows of the data you just loaded

# and the last 7

# how many rows are in the dataset?

# how many columns

# what is the shape of the dataset<jupyter_output><empty_output><jupyter_text>From the data directory load the iris dataset<jupyter_code>column_headers = [
    "sepal-length", "sepal-width", "petal-length", "petal_width", "class"
]

df = 

# and print out the first 5 rows
df.head()<jupyter_output><empty_output><jupyter_text>Make a basic graph using either of the above data sources when you're finished post the graph in the ds17 channel on slack<jupyter_code><jupyter_output><empty_output>
StarcoderdataJupyterStructuredCleanDedup