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Скачать или смотреть Creating Scatter Charts with Chart.js

  • vlogize
  • 2025-04-01
  • 3
Creating Scatter Charts with Chart.js
Scatter chart in chart.jspythonsqlpostgresqlchart.js
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Описание к видео Creating Scatter Charts with Chart.js

Learn how to create scatter charts using Chart.js with data from PostgreSQL in Heroku. This guide breaks down the steps you need to follow, even if you're a beginner!
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This video is based on the question https://stackoverflow.com/q/69819104/ asked by the user 'SaltyGamer' ( https://stackoverflow.com/u/6795814/ ) and on the answer https://stackoverflow.com/a/69819704/ provided by the user 'bartius' ( https://stackoverflow.com/u/9583888/ ) at 'Stack Overflow' website. Thanks to these great users and Stackexchange community for their contributions.

Visit these links for original content and any more details, such as alternate solutions, latest updates/developments on topic, comments, revision history etc. For example, the original title of the Question was: Scatter chart in chart.js

Also, Content (except music) licensed under CC BY-SA https://meta.stackexchange.com/help/l...
The original Question post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license, and the original Answer post is licensed under the 'CC BY-SA 4.0' ( https://creativecommons.org/licenses/... ) license.

If anything seems off to you, please feel free to write me at vlogize [AT] gmail [DOT] com.
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Creating Scatter Charts with Chart.js: A Beginner's Guide

If you're new to data visualization and using Chart.js, you might find yourself puzzled when trying to create scatter charts. These charts require data in a specific format that differs from the inputs used for bar and line charts. In this guide, we'll explore how to take data from a PostgreSQL database hosted on Heroku and format it for use in scatter charts using Chart.js.

Understanding the Challenge

You already have a setup where you're able to create bar and line charts using data fetched from your PostgreSQL database. By running SQL queries in a Python file and then passing the needed variables into your HTML file, everything seems to work smoothly. However, when it comes to scatter charts, you encounter some hurdles. Specifically, scatter charts need data formatted like this:

[[See Video to Reveal this Text or Code Snippet]]

You might find that transforming your SQL results into this format isn't as straightforward as it seems.

Step-by-Step Solution

Let’s break down how you can pass data from your PostgreSQL database to a scatter plot in Chart.js:

1. Querying the Database

Start with your SQL query, which retrieves the required data from the med_table. You’ll want to fetch the dosage and efficacy and store these values into a list.

[[See Video to Reveal this Text or Code Snippet]]

2. Formatting Data for Scatter Chart

In order to convert your SQL results into the correct format for a scatter chart, you’ll use a Python list comprehension. This approach allows you to iterate through each row of your results and create a new dictionary for each entry containing an x and y value.

Here’s how you can do it:

[[See Video to Reveal this Text or Code Snippet]]

In this case, row[0] represents the dosage (x value), and row[1] represents the efficacy (y value) from your database query.

3. Passing Data to HTML

After formatting the data into the required structure, you can pass it to your HTML template. For instance:

[[See Video to Reveal this Text or Code Snippet]]

The tojson filter will ensure that your Python object is correctly formatted as a JSON object in JavaScript.

4. Creating the Scatter Chart

Now that you have your data formatted and passed correctly, you can use Chart.js to create your scatter chart:

[[See Video to Reveal this Text or Code Snippet]]

Conclusion

By following the steps outlined above, you should be able to successfully create a scatter chart in Chart.js using data from your PostgreSQL database. Remember, the key to formatting your data is ensuring it’s structured as an array of objects with x and y properties. With a little practice, you'll be able to produce beautiful visualizations that present your data clearly and effectively!

If you have any further questions or need more examples, feel free to ask. Happy coding!

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