1. (Visually summarizing data) One of the most important aspects of analyzing economic data is the ability to summarize it efficiently. An important tool that allows us to summarize data efficiently is graphs. This question asks you to create some graphs for a particular dataset. Specifically, attached to this assignment is a cross-sectional dataset that contains information at the county level for the year 2012. For each county in the U.S., it contains data on, for example, the percentage of the population that is obese, median income, the number of fast-food restaurants per 100,000 people, the share of the population that is Hispanic, the percentage of the population that has a high school diploma or higher, and so on. This data was compiled from the following sources:

• U.S. Census Bureau
• U.S. Centers for Disease Control and Prevention (CDC)
• U.S. Bureau of Economic Analysis (BEA)
• U.S. Department of Agriculture (DOA)
• U.S. Department of Health and Human Services (DHHS)
• FBI Uniform Crime Reporting

Please use a statistical software (e.g., Excel, R, Stata, Python) to create histograms for two of the variables (of your choice). Next, please also create at least two scatter diagrams for variables of your choice (please use four different variables for your two scatter diagrams). Next, please provide a brief write-up about your findings. What are some meaningful insights that you observe from your graphs? Any interesting patterns in the data?