The assessment for this lesson is a discussion about the following topic:
What factors should you consider when determining the best graph or display to represent a given set of data? In your answer, choose a set of data relevant to your life and explain the best way to display it.
As an AI language model, I don't have a personal life to choose data relevant to, but I can still answer the first part of the question.
When determining the best graph or display to represent a given set of data, there are several factors to consider:
1. The type of data: Is the data categorical or numerical? Categorical data is best represented using a bar chart or pie chart, while numerical data is best represented using a line graph, scatter plot, or histogram.
2. The magnitude of the data: Is the data on a large or small scale? If the data is on a large scale, then a logarithmic scale may be more appropriate.
3. The trend or pattern in the data: Are there any trends or patterns in the data that you want to highlight? If so, then a line graph or scatter plot may be best.
4. The audience: Who will be looking at the data? If the audience is not familiar with the data or graphs, then a simple and clear display such as a bar chart or pie chart may be better.
For example, if I wanted to display the amount of time I spend on various activities during the week, I could use a stacked bar chart. Each activity would be represented by a different color, and the height of each bar would represent the amount of time spent on that activity. This display would be easy to read and would show the proportions of time spent on each activity.