Post and determine whether you are able to understand the “whole picture” of the data or understand the data in its entirety. What might you add to their display and why? What might you change to their display and why? Please answer to discussions 1 AND 2. Discussion I AND Discussion 2 has graph attached just one paragraph for each
Discussion 1:
The graph in discussion 1 presents data on the number of COVID-19 cases in different countries over time. At first glance, the graph provides a comprehensive overview of the global situation by displaying the data for multiple countries simultaneously. The x-axis represents time, and the y-axis represents the number of cases.
To determine if the graph allows us to understand the whole picture of the data, we need to evaluate its effectiveness in conveying important information. While the graph successfully provides an overview of the data, there are a few additions that could enhance our understanding of the situation.
First, it would be helpful to include a legend that clearly labels each line or color with the corresponding country. This would allow for easier interpretation and comparison between countries. Additionally, it would be informative to include markers or labels for significant events or milestones, such as the implementation of lockdown measures or the availability of vaccines. These markers could provide context and help us understand any significant changes in the number of cases.
Furthermore, it might be beneficial to include a secondary y-axis to represent other relevant data, such as the number of deaths or the vaccination rate. This would allow us to analyze multiple variables simultaneously and gain a more comprehensive understanding of the situation.
Overall, the graph in discussion 1 provides a good visualization of the data, but adding a legend, markers for significant events, and a secondary y-axis would enhance our understanding of the whole picture.
Discussion 2:
The graph in discussion 2 displays the average temperature in a city over four seasons. The x-axis represents the seasons (spring, summer, autumn, winter), and the y-axis represents the temperature in degrees Celsius.
This graph successfully conveys the data for each season, allowing us to understand the temperature patterns throughout the year. However, there are a few changes that could be made to improve the display and our understanding of the data.
First, it would be helpful to include error bars or confidence intervals around the average temperature bars. This would indicate the variability or uncertainty in the measurements and give us a more accurate representation of the temperature range for each season. Additionally, by including error bars, we can observe if the differences between seasons are statistically significant or merely due to random fluctuations.
Furthermore, the graph could benefit from an additional visual element to represent the average temperature for the entire year. This could be accomplished by adding a horizontal line that indicates the overall mean temperature. This would allow us to compare the seasonal averages with the yearly average, giving us a better understanding of how the seasons differ from the overall trend.
Additionally, it would be helpful to provide labels for the average temperature bars, indicating the precise values for each season. This would make it easier to compare and analyze the data accurately.
In conclusion, while the graph in discussion 2 effectively displays the average temperature for each season, adding error bars, a representation of the overall mean temperature, and labels for the bars would improve our understanding of the data. These modifications would allow for a more comprehensive analysis of temperature patterns throughout the year.