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Analyze Food Industry Refrigeration Emissions and Leaks

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Duration

30 Minutes

level

Beginner

Rating

5

Review

2 Reviews

Learn to analyze refrigeration emissions and leaks in the food industry. Understand how data science techniques can help optimize refrigeration systems, reduce emissions, and improve sustainability in food processing and storage operations.

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At a Glance

Manage refrigeration emissions in the food industry, calculate consumption rates, and visualize emissions data using Environmental Intelligence APIs. In just 30 minutes, this project can help you transform raw information into actionable insights using data analytics techniques. Anyone with an interest in environmental management will be empowered to enhance sustainability and compliance efforts.

For companies and individuals in the food industry, it’s essential to understand and manage refrigeration emissions to achieve both environmental sustainability and regulatory compliance. Using IBM Environmental Intelligence APIs and data analytics techniques, you can significantly enhance your ability to monitor and reduce these emissions. This project offers a hands-on approach to identifying refrigerants, calculating their consumption rates, and visualizing emissions data. By transforming raw information into actionable insights, environmental managers can make informed decisions to improve sustainability efforts. In just 30 minutes, you can gain valuable skills that contribute to a greener future.

Note: To complete this project, you must register to receive free access to the IBM Environmental Intelligence API keys. The process is simple and steps are provided in the project.

What you’ll learn

After completing this project, you will be able to:
– Calculate refrigeration consumption rates to monitor usage more effectively.
– Visualize emissions data to gain insights and identify trends.
– Transform raw data into actionable insights to enhance sustainability and compliance efforts.

Example: What can you observe from these scatter plots?
– A strong correlation between emission and consumption.
– Weak or zero correlation between `emission` with `Age` and `Leak%`.


What you’ll need

To successfully complete this guided project, you will need:
– Basic knowledge of data analytics concepts.
– Familiarity with data visualization techniques.
– Access to a computer with a current version of Chrome, Edge, Firefox, Internet Explorer, or Safari.
– Note that the IBM Skills Network Labs environment provides pre-installed tools like Docker to facilitate your learning process.

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Analyze Food Industry Refrigeration Emissions and Leaks
Analyze Food Industry Refrigeration Emissions and Leaks
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