AI Powered Data Analysis & Visualization with Julius AI

In this video, I'll explore the powerful capabilities of the Julius AI app, a cutting-edge tool that leverages artificial intelligence to perform data analysis and visualization. From regular language prompts it can create Python code, perform analysis, and even do a reasonable job of interpreting it. There were a couple of minor hiccups but overall I was impressed.
Check it out at julius.ai/?via=lyndon
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[0:00] Introduction
[1:35] Normal distribution problem
[2:46] Upload data
[3:26] Basic plotting
[4:47] Two-way ANOVA
[6:01] Post-hoc tests
[7:47] Multiple section report request
[8:51] Kmeans cluster analysis

[@lucyshao1983]

The charting function is huge!

[@Julius-AI]

Thanks 🙌

[@chrisogonas]

This is really useful, especially for non-statisticians like some of us. Even to statisticians, I believe it should help every data scientist improve their productivity tremendously. Thanks for sharing.

[@DrLyndonWalker]

Check out this video on a similar tool called Vizly that I push even harder
ruclips.net/video/u-V1BglXM_w/видео.html

[@chrisogonas]

@@DrLyndonWalker Certainly! Thanks for sharing. I'll hop to it.

[@Julius-AI]

Thanks a lot for the video walkthrough of Julius, Dr. Walker!

[@onelove4all]

Julius is good but too expensive lol. There is a trick lol. I knew some tricks lol don't ask me😅😅😅😅😅😅
They should reduce the price or else new Ai will emerge lol 😊