Researching with AI

In this section, we will cover the basics of how to do research with AI.

Also, you will learn to create a beuatiful data visualization using the Observable platform. Check out our Gallery for more examples.

Creating an Observable account and Forking a notebook

In this video, I will show you how to create an Observable account and use it to create and share data visualizations. We will stick to Observable for now, but I will also mention other platforms like Power BI and Tableau. I will guide you through signing up, creating a workspace, and exploring different visualizations. No action is requested from the viewers.

Immitate My Work and Create Your Own!

In this video, I will show you how to imitate my work and create your own. I will guide you through the process step by step, starting from accessing the workspace folder to cloning a script and making it your own. I will also demonstrate how to edit and run the script, and provide tips on using the Databricks Assistant for assistance. No action is requested from the viewers, but they will gain valuable knowledge on imitating and creating their own work.

Export the data file into a local machine

In this video, I will guide you through the process of creating an observable graph. I will start by demonstrating how to export the data into a local machine. Then, I will show you how to use the local data file with observable. Finally, I will explain how to connect to a database and use it with observable. By the end of this tutorial, you will have a clear understanding of how to create and work with observable graphs. No action is required from you, this is purely for educational purposes.

Fork an Observable script and change the data file

In this Loom, I walk you through the process of accessing and modifying an Observable notebook. We start by navigating to the mimilabs Observable page and forking the test notebook. I explain how to make the notebook public or private, depending on your needs. Then, I demonstrate how to change the script margin to improve readability and how to replace the underlying data set with a new file. Throughout the video, I provide important data about the number of individual provider records in the NPPES database. No action is requested from viewers, but this Loom serves as a helpful guide for anyone interested in exploring and customizing Observable notebooks.

Bonus: Use AI to Come Up With New Theories!

In this video, I demonstrate how to use AI for data analysis by walking through an example. I show how to navigate to the example folder, access the necessary data, and ask questions to gain insights from the data. I also discuss the importance of being specific in your questions and provide tips for getting the desired results. No action is requested from the viewers, but I encourage them to explore AI as a tool for data analysis.