Cleaning & Tidying a Messy Dataset with Python | Code Along | 30 minutes

Apr 16, 2022, 5:30 – 6:00 AM


This brief meet-up is centred around cleaning and tidying a real-world Kaggle dataset.

Data Science

About this event

A huge part of data science involves acquiring raw data and getting it into a form ready for analysis. Some have estimated that data scientists spend 80% of their time cleaning and manipulating data, and only 20% of their time actually analysing it or building models from it. [Source]

πŸ“” In this meet-up, we will clean and tidy a messy Kaggle dataset using Python - preview the dataset here. You may choose to download it prior to the meet-up and follow along on your own machine, though just watching is ok, too. 

πŸ“” Whilst I was originally intending to centre the meetup around a book/literary theme, I found the aforementioned dataframe (csv) just right for a short meet-up. Though it is titled Amazon book reviews - which is how I found it - it seems to be more about personal care product reviews. 

πŸ“” Following a presentation and before/after demo, we will go straight into the code along. 

πŸ“” You may find this meet-up useful if you are a beginner, just like me, and interested in playing around with real-world data, data analysis or data science in a broader sense. 

See you there πŸ‘‹


πŸ”– How much is this meetup? This is a free meetup hosted by a fellow learner.

πŸ“‘ Do I have to be a PRO member to participate? You don't have to have a PRO account but you may need a free Codecademy account to sign on to the meet-up.

πŸ“– What if I'm late? You can join after the event has started. No stress. You can also check in a few minutes early for a chat with me and your fellow learners.

πŸ—£ Do I have to actively be involved? You can participate in the code along and keep your camera and mic off or on - completely up to you. Just watching is fine too.

πŸŽ₯ Will this meet-up be recorded? The presentation bit will be recorded, the code along will not. 

🧾 I have something to share with you. Any questions or suggestions, get in touch directly below via the Contact Us button below ⬇️, via the Contact Us button on the Codecademy Seoul main page or this anonymous Google feedback form

Registration for this meetup is closed.
Please contact the meetup organizer for assistance.



Saturday, April 16, 2022
5:30 AM – 6:00 AM UTC


Intro & Agenda
Code Along


  • Laura Nikulski

    Chapter Leader

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