AI Tutorials for Data Analysts

Practical AI Cases in Analytics (code & no-code)

👋 Hey, I’m Daniil, and welcome to a ✨ subscriber-only edition ✨ of Creators’ AI. Each week we post AI Tools, Tutorials, News, and practical knowledge aimed at improving your life with AI. To get full access to our content, consider upgrading.

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Are any data analysts here? Well, good news, AI is knocking on your door! (in a good way) So are you ready to begin using ChatGPT and other unique tools in order to improve your workflow?

Today we dive into Analytics with AI + some fun tutorials for everyone:

1. Build an AI Chart Generator 🌟 With code

2. How To Use ChatGPT As A Data Analyst 🧑‍💻 No-code

3. How To Build An Autonomous AI Agent for Online Research 👀 With code

4. Building AI Mobile App with Speech & NLP 🔥 With code

5. Creating Dungeons and Dragons (DnD) Characters With An AI 3D Model Generator 🌆 With code

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Build an AI Chart Generator That Adapting to Any Dataset Type🌟

Developing an automated chart generator powered by Langchain and Streamlit.

Welcome to the world of data visualization made easy! 📊 In this quick tutorial, we'll show you how to develop your own automated chart generator powered by Langchain and Streamlit. Say goodbye to the hassle of manual analysis and complicated code—it's time to let AI do the heavy lifting!

Data visualization is the key to unlocking insights from complex datasets. Charts and graphs bring your data to life, crystalizing patterns and trends. But selecting the right chart type can be daunting. Don't worry, we've got you covered! Let's dive into the magic of AI-generated charts.

Let's talk about user experience first. We'll provide some popular chart types, but you can easily expand the app to suit your specific needs. It's all about customizing your charts to impress and inform your audience.

Now, let's peek under the hood. Our secret sauce is the Langchain tool—Tagging powered by OpenAI. It helps us tag the data context, telling the AI which chart type suits it best. Here’s the code walkthrough:

• Step 1 — Import the modules and set up OpenAI API Key to your environment.

  

• Step 2 — Define the tag schema by Pydantic.

  

• Step 3 — Create tagging chain and generate tags

  

Now comes the exciting part: We'll implement a function that displays the charts based on the input arguments. The result? Gorgeous charts tailored to your data, all in a snap!

Want to keep exploring this guide and bring your data visualization dreams to life? Click here to dive in and create charts like a pro. It's time to let AI unleash the magic of data visualization! 🌟🚀

How To Use ChatGPT As A Data Analyst

ChatGPT, plugins, and the code interpreter will help you make your life easier as a data analyst.