Before drawing conclusions or making predictions, you will need to look for patterns and trends in the data. Make any notes that you wish (ex: diagrams, bullet points, sentences, a short paragraph, or even a safe internet search of ‘cited’ information) describing the data and any patterns or trends you see for each of the three bodies of water. These data analysis notes will be used to help organize your thoughts and formulate your conclusion the great lakes
Some patterns and trends in the data for the Great Lakes include:
1. Temperature: The data shows that the temperatures in the Great Lakes vary throughout the year, with higher temperatures in the summer months and lower temperatures in the winter months.
2. Chlorophyll levels: There seems to be a seasonal pattern in the chlorophyll levels in the Great Lakes, with higher levels in the summer and fall months and lower levels in the winter and spring months.
3. Dissolved oxygen levels: The data shows that the dissolved oxygen levels in the Great Lakes are generally higher in the surface waters than in the deeper waters, which is expected due to the interactions with the atmosphere.
4. Nutrient levels: There appears to be a correlation between nutrient levels and chlorophyll levels in the Great Lakes, with higher nutrient levels leading to increased chlorophyll levels and potentially harmful algal blooms.
Overall, these patterns and trends suggest that the health of the Great Lakes is closely tied to seasonal variations in temperature, nutrient levels, and chlorophyll levels. Additionally, the data indicates that human activities, such as nutrient runoff from agriculture and urban areas, can have a significant impact on the water quality of the Great Lakes.