Dune Analytics is a popular platform for data analysis and visualization, especially on the Blockchain. It allows users to easily explore and visualize their data using a user-friendly interface.
One of the critical features of Dune Analytics is its ability to run SQL queries on data stored in its database that is queried from the blockchain. This allows users to extract specific data from their data sets and use it for further analysis and visualization.
In this article, we will explore how to use SQL on Dune Analytics to extract and analyze data from the blockchain.
Create an account on Dune
By signing in with your Ethereum wallet address or with your email address
Connect to the Dune Analytics database
To use SQL on Dune Analytics, you need to first connect to the database. To do this, go to the "New Query" tab in the main navigation "Menu" and select the blockchain you wish data to be queried from, from the drop-down menu.
Once you have selected the blockchain you want to connect with to the database, you can start writing your SQL query on the right box provided. SQL is a powerful language for extracting and analyzing data, and Dune Analytics provides a user-friendly interface for writing SQL queries.
To run your query, click on the "Run" button in the SQL editor. This will execute your query and display the results in a table below the query editor.
Once your query has been executed, you can use the results to create visualizations. Dune Analytics provides a range of visualization options, including bar charts, line graphs, and pie charts.
To create a visualization, go to the "New Visualisation" tab under the SQL query box. This will open the visualization editor, where you can select the type of visualization you want to create and specify the data source for the visualization, Where you would then click on add visualization
Once you have created your visualizations, you can save and share them with others. To save your visualizations, go to the "Data" tab in the main navigation menu and select "Reports" from the drop-down menu. This will open the report editor, where you can create a report and save it for later use.
To share your visualizations, you can use the "Share" button in the report editor to generate a link that you can share with others. This will allow them to view and interact with your visualizations.
In conclusion, SQL on Dune Analytics is a powerful tool for extracting and analyzing data. By following these steps, you can easily connect to the database, write and run SQL queries, visualize the results, and share your findings with others.