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Aprende Challenge: Explore Voltage and Current Relationship | Data Analysis for Engineers
Python for Engineers

bookChallenge: Explore Voltage and Current Relationship

In engineering analysis, understanding the relationship between two variables—such as voltage and current in a circuit—is a key application of correlation analysis and scatter plotting. Correlation quantifies the degree to which changes in one variable are associated with changes in another. A scatter plot visually displays this relationship, allowing you to quickly assess whether the variables move together in a predictable way. In this challenge, you will explore the relationship between voltage and current using real-world engineering data.

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You are given two lists: voltage_data and current_data, which represent voltage and current measurements from a circuit. Your task is to:

  • Calculate the correlation coefficient between voltage_data and current_data.
  • Create a scatter plot of voltage_data (x-axis) versus current_data (y-axis).
  • Return both the correlation coefficient and a string describing the relationship as "strong", "weak", or "negligible" based on the absolute value of the correlation coefficient.

Steps:

  • Compute the correlation coefficient between voltage_data and current_data.
  • Plot the data using a scatter plot with appropriate axis labels and a title.
  • Determine if the relationship is "strong" (absolute correlation > 0.7), "weak" (absolute correlation > 0.3), or "negligible" (absolute correlation ≤ 0.3).
  • Return the correlation coefficient and the relationship description as a tuple.

Solución

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Sección 1. Capítulo 7
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Suggested prompts:

What is correlation analysis and how is it used in engineering?

How do I create a scatter plot to visualize voltage and current data?

Can you explain how to interpret the results of a correlation analysis?

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bookChallenge: Explore Voltage and Current Relationship

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In engineering analysis, understanding the relationship between two variables—such as voltage and current in a circuit—is a key application of correlation analysis and scatter plotting. Correlation quantifies the degree to which changes in one variable are associated with changes in another. A scatter plot visually displays this relationship, allowing you to quickly assess whether the variables move together in a predictable way. In this challenge, you will explore the relationship between voltage and current using real-world engineering data.

Tarea

Swipe to start coding

You are given two lists: voltage_data and current_data, which represent voltage and current measurements from a circuit. Your task is to:

  • Calculate the correlation coefficient between voltage_data and current_data.
  • Create a scatter plot of voltage_data (x-axis) versus current_data (y-axis).
  • Return both the correlation coefficient and a string describing the relationship as "strong", "weak", or "negligible" based on the absolute value of the correlation coefficient.

Steps:

  • Compute the correlation coefficient between voltage_data and current_data.
  • Plot the data using a scatter plot with appropriate axis labels and a title.
  • Determine if the relationship is "strong" (absolute correlation > 0.7), "weak" (absolute correlation > 0.3), or "negligible" (absolute correlation ≤ 0.3).
  • Return the correlation coefficient and the relationship description as a tuple.

Solución

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¿Todo estuvo claro?

¿Cómo podemos mejorarlo?

¡Gracias por tus comentarios!

Sección 1. Capítulo 7
single

single

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