Interpreting graphs and trends


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Interpreting graphs and trends

A person drawing a plot

describing trends


In the lectures of the Economics in Power Engineering you can come across a lot of graphical information, that is why it is very important  to understand and be able to get information from graphs and plots.


In this activity you will learn how to describe graphs and trends.  You will also be able to understand the information contained in the graph or plot.

Activity 1: How to read a graph?

Try to analyse and guess the trends on the graph


Look at the figure and do the following tasks


View image |

1. Select the correct answer

2. Read and complete the following sentences

customer                    cheaper                 rise by              fall                          

tariff                              reduction              save up

 deals                           fixed-term              expire



Thousands of gas and electricity 1) will see their energy bills 2) £90 at the end of the month because their 3) energy tariffs 4) .

British Gas customers’ bills will automatically 5) 3.2% because the firm’s standard tariff is now 6) than the fixed-rate 7) . However, even with this 8) an average customer could 9) to a further £243 a year by switching to one of the top 10 cheapest fixed 10) .

3. Define the following words:

1. peak

2. drop

3. plateau

4. curve

5. surge

Additional Resources

The text is provided by

Activity 2: Understanding graphical information

Think about possible ways of analyzing the graphical information


Watch the following video and do the tasks

1. A column graph is used to show the percentage of parts making the whole

2. Pie chart shows comparison of different values

3. Line graph reflects the trend between two variables.

4. Every graph should contain only title and  a best fit line

5. Jami's income decreased by 90 000 USD.

6. The largest expense in the year was petrol.

Would you like to review the main points?



© Ekaterina S. Tarasova / Tomsk Polytechnic University /Economics in Power Engineering. 2015.

Created using the LOC Tool, University of Southampton