Calculating Summary Statistics - Pandas | Python ~ Episode 4

Hey Coders! As a data scientist or data analyst, your role is to derive meaning from your data. There's no better way to start off than by calculating summary statistics. This includes methods such as calculating the mean, finding unique values and their relative frequencies, and displaying the median and different quantiles. This video will be our first into diving into the analytic capabilities of pandas. Although some of these methods are basic, they're foundational and thus used often, so they're important to know! Watch this video to learn just how easy calculating summary stats on your data can be with pandas.

Check out the source code on GitHub:

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🕒 Timestamps
0:00 Intro
1:01 Importing pandas and displaying our data
1:24 count()
4:57 value_counts()
7:25 min() & nsmallest()
10:19 max() & nlargest()
11:42 mean()
13:21 median()
14:10 mode()
14:47 std()
15:47 agg()
17:10 describe()
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[FreihEitner]

I'm just beginning to look into Python Pandas to automate reporting in my call center. This video was extremely helpful in helping me make that decision. Thank you.