> For the complete documentation index, see [llms.txt](https://docs.dapplooker.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://docs.dapplooker.com/dapplooker-analytics/products/analytics/creating-charts/sql-charts.md).

# SQL Charts

#### Welcome to our comprehensive guide on creating visually appealing and insightful SQL charts. Discover how to leverage SQL queries and visualization techniques to transform raw data into meaningful visuals that enhance analysis and decision-making. Let's dive in and unlock the power of SQL charting!

1. Go to the Analyzer section.

<figure><img src="/files/E5xFCsgglbspS4R0CcCt" alt=""><figcaption></figcaption></figure>

2. Click on "Browse Data" to access the data browsing interface.

<figure><img src="/files/2GFETZpWFtZmgEzezIx5" alt=""><figcaption></figcaption></figure>

3. In the top right corner, click on the "New" button. Select "SQL Query" from the options presented.

<figure><img src="/files/VUdkXFS2chIzDA69GWLb" alt=""><figcaption></figcaption></figure>

4. Write your SQL query in the editor provided. Click the "Run Query" button to execute the query and retrieve the results.

<figure><img src="/files/bqayfh4E8OnoS9i2kdNl" alt=""><figcaption></figcaption></figure>

5. Once the query results are displayed, click the "Visualization" option. Select the desired chart type from the available options.

<figure><img src="/files/xOlXXVW4bdCBhbJefKjy" alt=""><figcaption></figcaption></figure>

6. Customize the chart settings as needed. Click on "Done" to finalize the visualization configuration and save it.

<figure><img src="/files/DadqJb3UH0JA1O2iScPY" alt=""><figcaption></figcaption></figure>


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