Implementing Data Quality in Python w/ Great Expectations

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In this video, I'll walk you through a short data portfolio project in Python where we tackle data quality with the library GreatExpectations.

We'll be checking the assumptions on my outdoor activity (Strava) data.

This is party of my 30 Data Science Projects in 30 Days series. SUBSCRIBE to see the other 29!

#python #pythonprojects #datascience
  1. Avery Smith | Data Analyst
  2. great expectations
  3. expectations
  4. data analyst
  5. data scientist
  6. data analytics
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Комментарии
Автор

Great video. Loved the max speed bit where you forgot you put your bike in the car 😂

imyhull
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great video! it'd be cool to see you expand on this and pull your Strava data in using the API

alexnolfi
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Thanks for sharing this great tool. I was wondering like it showing me the insights of the data and telling me if it's as per my expectations or not. Whether it would be able to make rectifications too?

Like if check the values to be in between 0 to 10. All values outside this range should be deleted/ amend or something?

ammarfasih
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Is there a tutorial on how to install it on windows 10 using python 3.12? I tried the official quickstart guide but the last line of the Python script just fails to open the website

JorgeEscobarMX
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creating custom expecations for a bigquery project, cna u show that pls

srinivasans
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Create a video on
"How to store the logs in a table for each Time script runs in datproc?"

kiranwale
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This is super helpful! I've done some really basic/manual data profiling, like finding the max/min of specific columns. But it gets tedious when scripting, leading me to prefer GUIs. This will streamline a lot of that.

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