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Using the years as the base of the graph and a scale of 2 cm to represent 10,000 tonnes of palm oil on the vertical axis, construct a grouped bar graph to represent the data
Geography
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4 stepsI have the data from Table Y (from your previous message) and the questions from the current image.
Here are the answers to Question 2:
Part a· 4 steps
To construct a grouped bar graph for the palm oil production data
Set up the axes.
- Draw a horizontal axis (x-axis) and label it "Years". Mark two distinct sections for the years 2020 and 2021.
- Draw a vertical axis (y-axis) and label it "Palm Oil Production (tonnes)".
Apply the scale to the vertical axis.
- Using the given scale of 2 cm to represent 10,000 tonnes, mark intervals on the vertical axis. For example, 2 cm for 10,000 tonnes, 4 cm for 20,000 tonnes, and so on, extending up to at least 150,000 tonnes (the highest production value).
Draw the grouped bars.
- For each year (2020 and 2021), draw three adjacent bars representing the production for Region X, Region Y, and Region Z.
- The heights of the bars should correspond to the following values based on the vertical scale:
- For 2020: Region X (120,000 tonnes), Region Y (100,000 tonnes), Region Z (80,000 tonnes).
- For 2021: Region X (150,000 tonnes), Region Y (110,000 tonnes), Region Z (90,000 tonnes).
- Use different shading or colors for each region (X, Y, Z) to distinguish them clearly.
Add a legend and title.
- Include a legend to identify which shading/color corresponds to which region.
- Give the graph a clear and descriptive title, such as "Palm Oil Production by Region (2020-2021)".
Part b
Three advantages of using a grouped bar graph (a cartographic method) to represent the data are
- Easy Comparison: It allows for straightforward visual comparison of palm oil production between different regions within the same year, and also for comparing a single region's production across the two years.
- Clarity and Simplicity: The data is presented in a clear, simple, and easily understandable format, making it accessible even to those without a technical background.
- Highlighting Trends: It effectively highlights trends, patterns, and significant differences in production values over time and across different regions.
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