FAQ: Multiple Linear Regression - StreetEasy Dataset

Frequently Asked Questions Python FAQ
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This community-built FAQ covers the “StreetEasy Dataset” exercise from the lesson “Multiple Linear Regression”.

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This exercise can be found in the following Codecademy content:

FAQs on the exercise StreetEasy Dataset

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2

All 3 databases (the csv files) are giving a “does not exist error.” I exited and reloaded Codecademy but they are still missing. Any thoughts?

3

Never mind, the hint gives the full path that was missing.

4

LOl. who uses read_csv from url. That’s the dumbest thing I’ve seen on codecademt

5

This question gives the following as the solution:

import codecademylib3_seaborn
import pandas as pd

streeteasy = pd.read_csv("https://raw.githubusercontent.com/Codecademy/datasets/master/streeteasy/queens.csv")

df = pd.DataFrame(streeteasy)
print(df.head())

Whereas my code, which produced identical output, was this:

import codecademylib3_seaborn
import pandas as pd

df = pd.read_csv("https://raw.githubusercontent.com/Codecademy/datasets/master/streeteasy/queens.csv")

print(df.head())

I’m wondering what the purpose of the additional step in the solution is? My understanding is that pandas read_csv returns a dataframe already, so it seems unnecessary to assign it to a temporary variable and then convert it into a dataframe as in the solution code, but I will be the first person to admit that I’m not all that familiar with pandas so maybe I am missing something important here?

Thanks!