Author(s): Gencay I.

Originally published on Towards AI.

Explore the future of AI with Data Science, ChatGPT, Agents, and Data Analysis for better decisions.

I love doing Data analysis, don’t get me wrong. But what if it can be enhanced? Or better automated?

So this journey has started with a bold question:

What If Data Analysis Didn’t Need You Anymore?

But no, no. There should be a driver in the driver's seat, which will be us. In this article, you and I will explore how AI automates/enhances Data Analysis. And trust me, it is not as hard as you think!

And if you don’t want to do it by yourself, I’ll provide you with a link where you can use it. Let’s get started!

In this dataset, we are going to use this data project.

Reference

5 years ago, you should have downloaded the dataset, read it with pandas, and explored it by using codes like this.

import pandas as pddf = pd.read_csv("/Users/learnai/Downloads/LiveLongerData (1).csv")df.head()

Here is the output.

SS of the outputs

What about the column names? Let’s see.

df.info()

Here is the output.

SS of the outputs

Good, but outdated.

What about developing an AI agent empowered with ChatGPT? Trust me, it is not too complicated. Just paste the code I’ll give you.

Photo by Marvin Meyer on Unsplash

First, let’s install these libraries.

pip install langchain-openaipip install langchain_experimental.agentspip install pandas openai

Good, now you are good to go. Let’s see the entire… Read the full blog for free on Medium.

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Published via Towards AI