Data Analysis on House Pricing Data using MongoDB Aggregation Pipelines

MongoDB Python Data Analysis: In this video, I will be discussing using MongoDB and performing data analysis using Python. We will start by creating a free atlas cluster.
https://bit.ly/CodewHarry2
This video is sponsored by MongoDB, but I had full creative control of the content. They genuinely wanted to make sure people like you had all the info you need to see if it’s right for your next project. Signing up for MongoDB Atlas is free, but they were kind enough to give the first 150 people who use code MKT-HARRY at checkout, $25 in Atlas credits to access paid features. Follow the link below to learn more:
https://bit.ly/CodewHarry2
TimeStamps ⌚
00:00 – Introduction
00:42 – Agenda
01:31 – Sponsor Message
02:26 – Why aggregation pipelines are used?
02:54 – Starting with code
04:01 – Different ways to perform aggregation in MongoDB
06:38 – Creating a new database
11:00 – Operations in the aggregation pipeline
13:00 – Stages in the aggregation pipeline
13:25 – match operation
15:16 – group operation
19:41 – sort operation
23:08 – Creating JSON file
28:46 – pymongoarrow
29:45 – Final Note
All the source code and other material will be uploaded on https://codewithharry.com as and when available!
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