Zerofy.net
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Zerofy helps you measure your household's carbon footprint automated and in real-time. Reduce emissions by switching to lower carbon energy and products.
Currently available for iOS.
No features have been listed yet.
Plotly is recommended for data scientists, analysts, and developers who need to create interactive and visually appealing data visualizations. It's particularly useful for those who work with Python or R and want the ability to embed their visualizations in web applications or dashboards.
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Our team at Zerofy (including a Co-Founder who is a former Apple software engineer) has developed an app to support people and their households in decarbonizing. Zerofy tracks your household carbon footprint, automated and in real-time, and helps you reduce your emissions, learn, and save money on heating and energy. It’s like a step tracker, but for your carbon emissions. Source: over 3 years ago
Hi there, I'm from Zerofy and we have built an app that measures your household carbon footprint automated and in real time. We then help you reduce your household emissions by switching to low carbon energy and products. We have a big range of smart home integrations that allow for measuring and reducing carbon emissions from your household devices and EV chargers. You can also connect to smart meters and solar... Source: almost 4 years ago
Let's dive into some practical examples. First, you'll need to set up your environment with the right tools. I recommend using pandas for data manipulation and plotly for visualization. - Source: dev.to / 6 months ago
Plotly is perfect for interactive visualizations. You can create interactive charts and graphs that allow users to hover, click, and zoom in. Plotly is also great for web-based visuals, making it easy to share your findings online. - Source: dev.to / over 1 year ago
Front End: A React application that leverages React-Chatbotify library to easily integrate a chatbot GUI. It also uses the Plotly library to display the charts/visualizations. The generative AI implementation and details are entirely abstracted from the front end. The front-end application depends on a single REST endpoint of the backend application. - Source: dev.to / over 1 year ago
In this tutorial, Mariya Sha will guide you through building a stock value dashboard using Taipy, Plotly, and a dataset from Kaggle. - Source: dev.to / almost 2 years ago
How to Accomplish: Utilize visualization libraries like Matplotlib, Seaborn, or Plotly in Python to create histograms, scatter plots, and bar charts. For image data, use tools that visualize images alongside their labels to check for labeling accuracy. For structured data, correlation matrices and pair plots can be highly informative. - Source: dev.to / about 2 years ago
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