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Create a publication-quality graph showing the relationship between ice cream sales and climate change over the past 20 years in Matlab style. The graph should feature:

- A line plot with two distinct Y-axes.
- The left Y-axis represents average monthly ice cream sales in units.
- The right Y-axis represents average monthly temperature in °C.
- The X-axis represents the years from 2003 to 2023.
- Use clear, distinguishable colors: one color for the ice cream sales line and another for the temperature line.
- Include a legend to identify the two data series.
- Add gridlines for better readability.
- Title the graph ‘Impact of Climate Change on Ice Cream Sales’.
- Use a minimalist theme for a clean, professional look.
- Ensure high resolution suitable for academic publication.

"Generate a detailed line graph illustrating the relationship between average monthly ice cream sales and average monthly temperatures over the past 20 years. Include the following elements:

1. Title: ‘Impact of Climate Change on Ice Cream Sales’
2. X-axis: ‘Year’ with labels for each year from 2003 to 2023.
3. Y-axis on the left: ‘Average Monthly Ice Cream Sales (in units)’ with appropriate scale.
4. Y-axis on the right: ‘Average Monthly Temperature (°C)’ with appropriate scale.
5. Two data series: one line for ice cream sales and another for temperature.
6. Legend identifying the two data series.
7. Clear, distinguishable colors for each data series.
8. Gridlines for better readability.
9. Annotation for significant events (e.g., heatwaves, major climate agreements) that may have impacted sales or temperature."

1. Title: ‘Impact of Climate Change on Ice Cream Sales’
2. X-axis: ‘Year’ with labels for each year from 2003 to 2023.
3. Y-axis on the left: ‘Average Monthly Ice Cream Sales (in units)’ with appropriate scale.
4. Y-axis on the right: ‘Average Monthly Temperature (°C)’ with appropriate scale.
5. Two data series: one line for ice cream sales and another for temperature.
6. Legend identifying the two data series.
7. Clear, distinguishable colors for each data series.
8. Gridlines for better readability.
9. Annotation for significant events (e.g., heatwaves, major climate agreements) that may have impacted sales or temperature.

Related Tags

ice cream sales

data visualization

academic publication

average temperature

temperature impact

consumer behavior