Read data using .read_csv() with adequate parsing arguments

You have successfully identified the issues you must address when importing the given csv file.

In this exercise, you will once again load the NASDAQ data into a pandas DataFrame, but with a more robust function. pandas has been imported as pd.

Este ejercicio forma parte del curso

Importing and Managing Financial Data in Python

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Instrucciones del ejercicio

Read the file nasdaq-listings.csv into nasdaq with pd.read_csv(), adding the arguments na_values and parse_dates equal to the appropriate values. You should use 'NAN' for missing values, and parse dates in the Last Update column.
Display and inspect the result using .head() and .info() to verify that the data has been imported correctly.

Ejercicio interactivo práctico

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# Import the data
nasdaq = pd.____('nasdaq-listings.csv', ____='NAN', ____=['Last Update'])

# Display the head of the data
print(nasdaq.____())

# Inspect the data
nasdaq.____()

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