Note: Pull most (if not all) from Lab 01

Goal

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”)

Data

describe the data used in the analysis and link to the source of that data

Creating the graphs

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

Conclusions

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.)