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First steps

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RRobinL
Last edited Jul 6, 2014
Created on Jul 6, 2014

This example shows the initial steps of loading and inspecting a malformed CSV file in Python using pandas and basic file handling. It opens the file with the built-in `open()` function, reads it line by line, strips whitespace, and splits each line into a list of values with `split(",")`. The resulting nested list is converted into a pandas DataFrame via `pd.DataFrame`, and the first 20 rows are displayed to examine the data structure. The snippet highlights data cleaning challenges, as many fields contain `None` values and numeric entries are in scientific notation.

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