FAQ: The Data Analyst Process - Cleaning Data

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This community-built FAQ covers the “Cleaning Data” exercise from the lesson “The Data Analyst Process”.

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This exercise can be found in the following Codecademy content:

Data Analyst

FAQs on the exercise Cleaning Data

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Hi everyone,

I have a question about the syntax of this command/code in the exercise:
<
new_df = pd.merge(user_data, pop_data)
new_df.loc[new_df.population_proper < 100000, “location”] = “rural”
new_df.loc[new_df.population_proper >= 100000, “location”] = “urban”

I understand the syntax overall, excluding the
<new_df.loc[new_df.population_proper >= 100000, “location”] = “urban”>

May I ask, what is the meaning of it

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Hi all, The logic seems straightforward, and I have added my commands. But where can one “inspect” the new table? I am sure it is simple, what am I missing?

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https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.loc.html

I found this explanation for it!

Essentially loc is a property of Pandas dataframe; we are selecting the row/columns that we need to filter by or examine. For instance in the example exercise, from the dataframe “new_df” we are selecting the column new_df.population_proper and using the selected column’s values to create a boolean expression that will help us determine if the town/city is urban/rural.

If the population_proper column/variable is < or >10,000; the newly created column “location” will be assigned the value “urban” or “rural” for that row.

Sorry if that wasn’t the best explanation. I am new to CodeCademy!

2 Likes
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any guidelines on using Pandas? Like installation? I have no idea what should I do now.