Note: Pull most (if not all) from Lab 01
describe the goal of the analysis (e.g.: “to create a series of bar plots examining the association between use of marijuana and self-reported levels of overall health,” “to create a sequence of line charts showing temporal and geographic trends in homicide rates in the US,” “to examine the association between poverty rates and 8th-grade reading scores in the US”)
describe the data used in the analysis and link to the source of that data
describe the process involved in creating your graphs - if your data requires substantial manipulation (creation of new variables, use of summarize()/group_by()/gather() functions, combination of multiple datasets, etc.), detail what was done by each line of code - when using ggplot() to create graphs, discuss your aesthetic mappings - keep your goals in mind (see above) and use the guided exercises as a reference point – you should describe your work in a similar level of detail to that provided in those exercises
describe what your graphs show (e.g.: “Our bar charts show that survey participants who report using marijuana regularly (more than 5 days out of the past 30) are less likely to self-report their overall level of health as ‘excellent’ than are survey participants who have never used marijuana;” “Our line graphs show that homicide rates in all regions of the United States steadily increased from 1960 to 1990, then sharply decreased from 1990 to 2010;” “Our scatterplots show no clear association between poverty rates and 8th-grade reading scores.)