@article{Chatfield:340262,
      recid = {340262},
      author = {Chatfield, Mark D.},
      title = {Graphing each individual’s data over time},
      journal = {Stata Journal},
      address = {2018-07},
      number = {199-2024-636},
      year = {2018},
      abstract = {Graphing each individual’s data over time (in separate  graphs) can be a worthwhile approach in exploring  longitudinal and panel datasets. This especially applies  for datasets where several variables change over time and  where there are many possible time points, for example,  administrative datasets and patient safety profiles in  clinical trials. Studying a few individuals’ graphs closely  can provide insight into the nature and quality of the  data, generate hypotheses, and inform data analysis.  Selecting a few typical or unusual graphs can make for  powerful presentations at meetings. I give examples of  graphing a single variable and multiple variables over time  for each individual, and I detail associated Stata coding  tips and tricks.},
      url = {http://ageconsearch.umn.edu/record/340262},
      doi = {https://doi.org/10.22004/ag.econ.340262},
}