Beatriz is creating graphs for her city’s Parks Department. Beatriz is trying to persuade the Parks Department to put in more gazebos for shade. For a local park, Beatriz wants to demonstrate the attendance as it changes every week. She also wants to show the temperature changes per month. Sometimes temperatures reach below zero.
Explain to Beatriz how to make the graphs correctly based on the data that she will collect and what labels, scales, and intervals each axis must have on each graph. Use complete sentences and support your reasoning. Feel free to generate sample data to help support your response.
So, I think you can just plot the x and y axis on a graph for each, but I'm really not understanding this one. Any ideas?
I tried to put into an excel graph with weeks on the x axis and people on the Y axis..but it's not looking right. I'm missing something.
To accurately represent the attendance changes for the local park, you should plot the number of people on the y-axis and the weeks on the x-axis. The y-axis should have a numerical scale that is suitable for representing the range of attendance. For example, if the park can accommodate up to 500 people, you may choose an interval of 100 people per division on the y-axis.
To ensure clarity, you should label the y-axis as "Number of People" to indicate what the values on that axis represent. The x-axis should be labeled as "Weeks" to indicate the time period being measured.
To accurately track temperature changes per month, you should create a separate graph. In this case, you would plot the temperature values on the y-axis and the months on the x-axis. The y-axis should have a numerical scale that includes both positive and negative values to accommodate temperatures below zero.
To label the y-axis clearly, you should use "Temperature (°C)" to indicate that the values on that axis represent temperature measurements. The x-axis should be labeled as "Months" to indicate the time period being measured.
For both graphs, it is important to choose appropriate scales and intervals on each axis that will clearly represent the data without making the graphs too crowded or difficult to read. It may be helpful to collect some sample data for attendance and temperature to determine suitable intervals and scales.