Django, Pandas, and Chart.js for a quick dashboard

Django, Pandas, and Chart.js for a quick dashboard

A quick dashboard with Django, Pandas, and Chart.js that could be thrown up in an hour or so. Today we will talk about how to use Django, Pandas, and Chart.js together to throw up a quick dashboard.

Today we will talk about how to use Django, Pandas, and Chart.js together to throw up a quick dashboard. This will not be a Django tutorial, and I am taking some shortcuts here. The goal is to show you how to start using these tools together to quickly display some data. This is best applied when you need to get something up fast to visualize a single table with a few different charts. It could also be a starting point for a more robust django and chart.js site.Why Pandas? It is my experience that doing a bunch of pandas wrangling behind the scenes on a web server while someone is waiting on a website to respond is generally not an good strategy. There is certainly a way to do all of this from within Django directly from the database. The right database queries are almost always going to be faster and a better long-term answer for a dynamic production website. However, there are times when you have gotten to a good data exploration stage in a Jupyter notebook and you just want to throw something together to show what you have found so far.Why Django? Well, we are really talking about just two minutes of work to have Django up, running, authenticating, and talking to the database server of your choice. Django is a great choice for this project when you can get the data exported into a single table. Flask would probably be a better choice if you don’t need authentication and want to access the data from an existing database.Why Chart.js? I have found that if you want to deploy a bunch of different interactive charts by modifying a few variables Chart.js is amazing. After I hacked my way through the first chart, I found that the rest of them pretty much just worked with slight modification.The code is here. Let’s dig in.For the tutorial I grabbed this dataset. It is not the best dataset for dynamic charts, but it was easy.

pandas dashboard charts django visualization

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