overviewR is a small yet powerful package that helps you to get an overview – hence, the name – of your data with particular emphasis on the extent that your distinct units of observation are covered for the entire time frame of your data set.
A stable version of
overviewR can be directly accessed
install.packages("overviewR", force = TRUE)
To install the latest development version of
directly from GitHub use:
If you have a (large) data set that has many different observations over a long period, it becomes increasingly difficult to identify for each unique observation its exact coverage in the data. In particular, if some observations are not included for the entire time span of the data – either because they entered later, dropped out earlier or have gaps in between – it can become difficult to spot potential problems in your data’s time and scope.
overviewR allows you to quickly get a glimpse of your data and the distribution of your observations over time. With its ability to produce both data.frame objects and LaTeX/.tex outputs, it can be used by practitioners and academics alike.
overviewR can be used by everyone who works with data that have time-and-scope characteristics. That is, all data that contains different units of observation over a specific period will benefit from overviewR. To get a quick overview of which units – think of countries, companies, test persons, etc. – are present or missing during a given time span – think of years, months, days, minutes, etc. – overviewR provides an easy and intuitive insight into the set-up of your data.
Consider a data set that covers countries over the past 50 years. Not all countries existed throughout the entire period – some dissolved, others were newly founded and yet for others, data might not be available for the entire period. Before starting any analysis, it is helpful to get an overview not only of which countries are included and what the entire time span is but also to see which countries are present at which points in time. In other words, are there missing data for certain countries at different points in time?
To get a quick and intuitive overview of your data, overviewR provides currently the following basic functions:
||Can take multiple time arguments (year, month, day)|
There is also a CheatSheet available here that showcases the functions of overviewR.
Have you used overviewR in your project? Let us know! You can either e-mail us or use our pull-request template and populate/fill the following with your information:
**PROJECT TITLE**: --SHORT DESCRIPTION HOW YOU USED OVERVIEWR-- [*LINK TO YOUR WEBSITE*](https://LINK-TO-YOUR-WEBSITE)
We will feature your project below!