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Quantitative skills

Data visualisation and graphing (Chemistry)

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In this resource, students practise how to effectively present chemical data, choose the right type of plot for the data, label axes correctly, troubleshoot common plot issues, and interpret lines of best fit to understand trends.

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Learning outcomes

  • Select suitable plot types and axes labels for different types of dataset.
  • Troubleshoot various issues with scatter plots.
  • Interpret lines of best fit.
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Skills

Manipulating and Presenting Data

  • How to select suitable visualisations for different chemistry datasets
  • How to identify and create quality scatter plots

Interpreting and Analysing Data

  • How to analyse a scatter plot using the trendline formula

Learn more about our approach to skills
Prof. Dudley Shallcross
Professor of Atmospheric Chemistry, University of Bristol

“Students welcome the opportunity to repeat calculations with different data to test their understanding of the material. Student feedback on courses that I teach that use Smart Worksheets, always highlight this as a very positive aspect.”

Details

Degrees

Chemistry

Modules

Quantitative chemistry
Mathematics

Topic

Quantitative skills

Purchase option

The Smart Worksheet Library

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What are LabSims?

Our virtual lab simulations enhance student learning by building confidence in practical skills.
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What are Smart Worksheets?

Online, autograded assessment tool for advanced data analysis and calculation practice
  • Improve the student experience of assessment with immediate, targeted feedback
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