Type Amount Recycled (%) Amount Recycled (in millions of tons)
Paper and Paperboard 52.8 45.9
Yard Trimmings 22.2 19.3
Metals 8.6 7.5
Glass 3.7 3.2
Plastics 3.1 2.7
Wood 2.7 2.3
Food waste 1.6 1.4
Other 5.3 4.6
Date US Population
Jul 1, 2012 313.85 million
Jul 1, 2011 311.59 million
Jul 1, 2010 309.35 million
Jul 1, 2009 306.77 million
Jul 1, 2008 304.09 million
Jul 1, 2007 301.23 million
Jul 1, 2006 298.38 million
Jul 1, 2005 295.52 million
Jul 1, 2004 292.81 million
Jul 1, 2003 290.11 million
Jul 1, 2002 287.63 million
Restaurant Burger—Highest,Lowest Calories
McDonald’s Double Quarter Pounder w/ Cheese 750
McDonald’s Hamburger 250
Burger King Texas Double Whopper Sandwich 1000
Burger King Hamburger 240
Wendy’s Dave’s Hot ‘N Juicy 3/4 lb. Triple 1120
Wendy’s Jr. Hamburger 250
Type of Renewable Energy Distribution (%)
Hydropower 30
Biomass Wood 22
Biomass Waste 5
Biomass Biofuels 22
Wind 15
Geothermal 3
Solar 2
Use the above data to answer the following questions:
2. Looking at the data tables, you decided that the tables are not very reader-friendly. Evaluate the data presented, and then decide which type of graph would be the most appropriate to display the data: circle, line, bar graph. Then explain why you selected the type of graph to represent the data. Do this for each of the four data tables.
Check please.
Bar chart for each one because you have the values up the left side and item listed/categorized along the bottom for a more reader friendly chart for the data.
To evaluate the data and determine the most appropriate type of graph for each data table, we need to consider the nature of the data and what we want to convey.
1. Recycling Percentage and Amount:
The data in this table compares the percentage and amount of different materials recycled. To represent this information effectively, a bar graph would be most appropriate. The x-axis can represent the different materials (Paper and Paperboard, Yard Trimmings, Metals, etc.), and the y-axis can represent the percentage or amount recycled. The heights of the bars would correspond to the percentages or amounts, allowing for a clear visual comparison between the different materials.
2. US Population:
This table displays the US population data for different years. Since the data is continuous and chronological, a line graph would be the best choice. The x-axis can represent the years, and the y-axis can represent the population. Connecting the data points with lines would show the trend and changes in the population over time.
3. Restaurant Burger Calories:
This table presents data on the calories of various restaurant burgers. To effectively compare the calorie content, a bar graph would be suitable. The x-axis can represent the different burgers, and the y-axis can represent the calorie counts. The heights of the bars would represent the calorie values, allowing for a visual comparison between the different burgers.
4. Renewable Energy Distribution:
This table displays the percentage distribution of different types of renewable energy. To represent this data effectively, a circle graph (also known as a pie chart) would be the most appropriate choice. The circle can represent the total renewable energy distribution, and each sector can be represented as a slice of the pie, where the size of the slices corresponds to the percentage of each energy source.
By carefully selecting the appropriate graph types for each data table, we can ensure that the information is presented in a visually clear and easily interpretable manner.