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Day 36 of #66DaysOfDataChallenge

Lazing, Chilling and a little Data Cleaning today.

Shilpa Sri Karra · 2022-02-16 11:59 · 0 claps · 1.0 min read
#data-science #day-36 #66-days-of-data #challenge #data-cleaning
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Wiki topics: ML · Machine Learning 🔬 · Science · General

Day 36 of #66DaysOfDataChallenge

I keep feeling like this on and off frequently.

It’s either the weather that is acting a little weird or that my lazy pangs are out for a secret party.

If there is one thing I have learnt during the Pandemic, it has definitely got to be this.

Not how to make Dalgona coffee.

Not working from home.

Nor is it experimenting dishes that were never heard (or eaten) before.

It’s not doing household chores to help my Mom also.

And yet, I consider it the most effective thing I learnt.

The fact that it is ok to procrastinate for a while and be doing things while being lazy.

Surprised.

Don’t be.

Photo by Kate Stone Matheson on Unsplash

Photo by Kate Stone Matheson on Unsplash

Day 36 — Tuesday, 8th Feb’2022

Although I did not do much of it during the Pandemic nor did I figure out new and innovative ways of doing it, I did keep aside my lethargic pangs or something I prefer calling the weather effect and read this thing about CLEANING.

Yes.

Cleaning.

You read it right.

Not just any cleaning.

Data Cleaning.

To be more precise,

Data Cleaning in SQL.

A special mention to the writer Aakriti Sharma for putting it out in a simple and and easily comprehendible way.

References:

[embed]Data Cleaning with SQL 🧼 The foundational preprocessing step explained the easy way!medium.com

My post on Twitter:

[embed]


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