Plotting T2 and T1 with Variable q: Tips for Graphing Equations

In summary, the conversation discusses the difficulty of plotting a graph between T1 and T2, given that all three variables (T1, T2, and q) are interconnected in the equation 0.02q=T1-T2. The suggestion is made to treat (T1 - T2) as a single variable (delta temperature) and plot q as the dependent variable. Another option discussed is using a 3D plot with T1 and q as independent variables or a 2D plot with parallel lines representing different values of q.
  • #1
princesvpk
5
0
i have an equation 0.02q=T1-T2

how do i plot a graph between T2 and T1...since all the three are variables i am not able to plot the graph between T2 and T1...kindly help...is der any method to approximate variable q to a constant? so dat i can plot the graph
 
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  • #2
If you think of (T1 - T2) as a single variable (delta temperature), you have an equation of a line and could plot q as the dependent variable vs (T1 - T2) as the dependent variable.
 
  • #3
taking t1-t2 as difference of T we could sure plot a graph between diff(T) Vs q...but i need a plot btw T1 and T2...
 
  • #4
If you want plot T2 as a function of T1, there are a couple of options. One is a 3D plot where the independent variables are T1 and q. In this case the plot will be a planar surface. Another option is in a 2D plot consisting of a series of parallel lines with each line corresponding to a different value of q.
 
  • #5
Thank you for the reply.
 

FAQ: Plotting T2 and T1 with Variable q: Tips for Graphing Equations

What is difficulty in plotting?

Difficulty in plotting refers to the challenges or obstacles that a scientist may face when trying to create a visual representation of their data. This can include issues with data quality, selecting the appropriate type of plot, or understanding how to interpret the results.

How can data quality affect the difficulty in plotting?

Data quality is a crucial factor in creating accurate and meaningful visualizations. If the data is incomplete, inconsistent, or incorrect, it can be difficult to create an accurate plot. This can lead to misinterpretation of the results and make it challenging to convey the intended message.

What are some common types of plots used in scientific research?

Some common types of plots used in scientific research include line graphs, bar charts, scatter plots, histograms, and pie charts. The type of plot used will depend on the data being presented and the research question being addressed.

How can a scientist determine which type of plot is most appropriate?

The choice of plot type depends on the data being presented and the message the scientist wants to convey. For example, if the data is continuous, a line graph may be more suitable, while categorical data may be better represented with a bar chart. It is essential to consider the data and the research question carefully when selecting a plot type.

What are some best practices for creating effective plots?

Some best practices for creating effective plots include using a clear and concise title, labeling the axes appropriately, and ensuring the data is presented accurately. It is also crucial to choose a visually appealing design and avoid cluttering the plot with unnecessary elements.

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