Data Analysis on House Pricing Data using MongoDB Aggregation Pipelines

From the creator

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! ►Check out my English channel here: https://www.youtube.com/channel/UC7btqG2Ww0_2LwuQxpvo2HQ ►Instagram: www.instagram.com/codewithharry python, C, C++, Java, JavaScript and Other Cheetsheets [++]: Playlist: https://www.youtube.com/playlist?list=PLu0W_9lII9agrsRZjFECeFuWY5ev2pQlk ►Lea

Published 2022-04-21 · Watch on YouTube ↗
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