Django Graphs and Charts – Argon Dashboard

Hello coders,

This article presents an open-source sample that might help beginners learn and code a real project using Django as a backend framework. Django Charts Sample provides functional code that shows different metrics regarding a 12-month timeframe: total sales, total orders, best sale, and best month (in sales value). Information is provided using charts, widgets, and a paginated data table that allows editing/adding new sales.

Thank you!

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• 👉 Django Argon Charts - Sample LIVE deployment
• 👉 Django Argon Charts - Source Code
• 👉 Argon Dashboard Django - the original starter

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The information displayed in the charts is loaded from a sample file provided along with the source code on GitHub. On top of this basic provisioning, authenticated users have the option to edit and add new records.

Once the new information is saved, charts are automatically updated. The project can be used by any developer with basic programming knowledge and familiarity with Python.

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What’s in the box (app features):

• A beautiful, modern UI: Argon Dashboard (free version)
• Session-based authentication
• Import/Export feature – available in the admin section for bulk import of sample data
• Charts for orders and sales for a 12mo timeframe
• Widgets that count total sales, orders, and best month selected based on the total sales value
• Paginated data table with edit and add new record option

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To compile the project and play with the code, please follow the build instructions provided in the README file. The basic flow is to install the required dependencies, create the database and app tables and load the information using the admin section. Once the information is saved in the database, we can use the UI to play with the information and see the LIVE effects in the charts.

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Line Chart

Summarize the sales for the last 12mo, initially provisioned by a sample file.

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Bar Chart

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The visual features are enhanced with a table-based view of the information that allows navigating the database content with ease. The records can be edited and the charts will be refreshed automatically to reflect the latest changes.

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From this point, the project can be extended with ease to support more advanced features like adding more relevant charts, computing sales predictions using the sales statistics from the previous year, or adding a social login to speed up user registration.

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Thanks for reading! For more resources, feel free to access:

• 👉 More Django Dashboards - a curated index
• 👉 Django App Generator - A 2nd generation App Builder