FAQ: Why Data? - Analyzing Data with Pandas

This community-built FAQ covers the “Analyzing Data with Pandas” exercise from the lesson “Why Data?”.

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FAQs on the exercise Analyzing Data with Pandas

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print(
df.groupby(‘website_goal’)
.first_name.count()
.reset_index()
.rename(columns={‘first_name’: ‘number_of_citizens’})
)

How this code works ?

2 Likes

print(
df.group_by(‘website_goal’)
first_name.count()
.reset_index()
.rename(columns={‘first_name’: ‘number_of_citizens’})
)

yes it works u check by putting ‘’ in your code

First I wanna start by saying I don’t know anything about programming and Codecademy is my first teacher. Ive learned so far that a SQL is simply a language that allows your database servers to store and edit data, and a CSV file is a text only spreadsheet format that lets us store and explore data. So my question is what’s the difference? Also my Facebook is Tra Jeter if there’s anyone willing to answer my thousands of questions personally.

Why are these lines of code not very well explained? Is this assuming we already know what df is or does? I generally can figure out what is happening, but saying copy and paste a line of code is not teaching me anything.