LangChain & GPT 4 For Data Analysis: The Pandas Dataframe Agent

In this video, we are going to explore the Pandas data frame agent to try to understand what the future of data analysis holds.

We will use the LangChain wrapper around GPT4 to analyze and extract insights from data in a pandas dataframe with thousands of rows.

▬▬▬▬▬▬ V I D E O C H A P T E R S & T I M E S T A M P S ▬▬▬▬▬▬
0:00 Introduction and overview

0:52 Loading Python libraries and data needed

2:02 First task to the agent: total revenue

2:22 Second task to the agent: calculate AOV

2:40 Third task: Calculate repeat order rate

4:10 Fourth task: RFM segmentation

4:42 Perspectives for data analysis

[mikehynz]

I just started a master's in data analytics (I'm actually a teacher tho). I'm so glad I found this channel. So effing interesting. Seems like a hell of a time to get into this space.

[bibhutibaibhavbora]

Found a gem channel, will learn so many new things now.

[vineetbabhouria]

This is what I was searching for. Keep it up. Very informative no bullshit

[avidlearner]

Fantastic stuff!!! Can be applied to so many things…… thanks for enlightening us with such fantastic content, it’s a lightning speed growing technology and there’s not a lot of information on the subject….. what I’d like to see is proper fine tuning via conversation history that gets saved and referenced in a separate vector database from the document analysis…. Reminds me of the early web! Everything was to be done….

[johnpoc]

That is crazy good, thanks for the video. New sub here!

[AdrienSales]

Very well explained. Very compact tutorial. Keep going !

[thedonflo]

I came across your channel and it is exactly what i have been searching for. Keep up the great work. Small request. Can we get a similar video but for pdf?

[deekshitht]

Please upload more videos regarding langchain plss❤

[Mrlemar]

Very interesting. Does giving it a specific file to analyze solve the hallucination problem?

[usoppgostoso]

I believe the output parser error is related to the format of the output that it's attempting to parse. Unless you have set up the proper tools to handle some specific formats (like graphs), it might fail.

[ramp]

Great video. Will this also work with GPT 3.5 API? Or it needs 4? Thanks

[joseluisbeltramone]

Thank you for the excellent video. Doing analytics on a dataframe os my own, with 3 thousand columns, I came accross the tokens limit for the model I used (chatgpt 3.5). Is there anyway to overcome it?

[Mactuarchitect]

If the DataFrame is too long for the chatgpt UI prompt, does that mean by using Langchain you can bypass this limit?

[bwilliams]

These are really excellent videos thank you. It's just a shame you are not sharing the workbooks. It really helps to learn when you can process and adjust the code as you go!

[ronakdinesh]

curious does it also give graphs if you ask it?

[bharadwazsripada]

HI, In this approach is the data being shared with OpenAI? My understanding is we are using pretrained model and creating an agent for the environment.

[rafaeldelrey]

It is an interesting concept and I hope it improves with time. Currently, It just dont work for so many examples. A lot of parsing errors, log chains of retries, plain wrong answers.

[pk]

So does langchain use GPT to type a sql query, queries the database, then outputs the result? Thats pretty impressive.

[DeepakSingh-jizo]

Does langchain send this entire csv file to openai?

[sodasundae]

Does these order data gets sent to chatgpt? Is there anyway to keep it local? Vicuna?