Women in the Workplace
Interactive scatterplot (plotly and shiny packages)
Notable topics: Interactive scatterplot (plotly and shiny packages)
Recorded on: 2019-03-04
Timestamps by: Alex Cookson
Screencast
Timestamps
Writing a custom function that summarizes variables based on their names (then abandoning the idea)
Using complete.cases function to find observations that have an NA value in any variable
Using subsetting within a summarise function to calculate a weighted mean when dealing with 0 or NA values in some observations
Debugging what is causing NA values to appear in the summarise output (finds the error at 13:25)
Hypothesizing about one sector illustrating a variation of Simpson's Paradox
Creating a scatterplot with a logarithmic scale and using scale_colour_gradient2 function to encode data to point colour
Creating an interactive plot (tooltips show up on hover) using ggplotly function from plotly package
Fiddling with scale_size_continuous function's range argument to specify point size on a scatterplot (which are encoded to total workers)
Explanation of why healthcare sector is a good example of Simpson's Paradox
Starting to create a shiny app with "occupation" as only input (many tweaks in subsequent minutes to make it work)
Tweaking size (height) of graph in shiny app
Summary of screencast