To represent the given data effectively, you should consider the nature of the data and what you want to convey. The data consists of years and their corresponding prices, which is essentially a time series.
Appropriate Methods:
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Line Chart:
- This is one of the best ways to visualize the trend over multiple years. You can plot the years on the x-axis and the prices on the y-axis to show how the price has changed from 2018 to 2022.
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Scatter Plot:
- A scatter plot can also be used to show price data against the year. Each point would represent the price for each year. However, scatter plots are typically more useful for showing relationships between two continuous variables rather than a time series.
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Bar Chart:
- A bar chart can effectively show the prices for each year with bars representing the price for each year, making it easy to compare the prices visually.
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Frequency Table:
- A frequency table isn't applicable in this context since there isn’t a frequency count of occurrences; you are showing unique values (prices) for specific years.
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Pie Chart:
- A pie chart is not appropriate here as it is used to show parts of a whole, and with only one attribute (price) over multiple years, it would not convey useful information.
Conclusion:
The best methods to represent your data from 2018 to 2022 and their respective prices would be a Line Chart or a Bar Chart for clear visualization. A scatter plot could be used but is less common for this type of temporal data. A frequency table and pie chart are not suitable for this type of data representation.