Nobody has missed the increasing energy prices. With the help of data we can plan our consumption and save money.

This guide will go over how you can fetch energy price data and store that in MongoDB Atlas Cluster, it will guide you through the process of creating live charts to visualize and gain insights from that data using MongoDB Atlas Charts.

During this session we will create a dashboard using MongoDB Atlas Charts showing energy price over time and insights around the price.
We will also use the Atlas Chart embedding option to embed our chart in a web-application.

• MongoDB Atlas cluster

  • Free Sign up

• Data

  • Data will be fetched using the following URL:
    https://www.vattenfall.se/api/price/spot/pricearea/<yyyy-mm-dd>/<yyyy-mm-dd>/SN3
    This will fetch data between dates and price area SN3.

• Using Python
• Using Nodejs

• Using mongoimport
• Using Compass
• Using Python
• Using Nodejs

• Using Compass
• Using Atlas

• Data sources
• Data sources pipeline
• Dashboard/Charts

"Getting started with Charts"

• Charts EmbedSDK

"Embed your charts"