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Exploratory data analysis for large datasets (10-100 million observations)

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Hi Tried to install this package but failed: > > devtools::install_github("hadley/bigvis") > Downloading GitHub repo hadley/bigvis@master > from URL https://api.github.com/repos/hadley/bigvis/zipball/master > Error: running command '"C:/PROGRA~1/R/R-34~1.4/bin/x64/R" --no-site-file --no-environ --no-save --no-restore --quiet...

when i have a smaller dataset, condense works great, but when the size of rows (> 50000000), i get the following error which tells nothing: Error: length(z) == 0 ||...

You have used lowerBound function inside the script of weighted.quantile function. [weighted.quantile

I'd propose that `weighted.median` function returns `NA_real_` instead of `logical(0)`, when all `x` are NAs: ``` R weighted.median(NA, 1, na.rm=T) # returns `logical(0)` ``` The problem with `logical(0)` output is...

Can I use similar syntax? How should binning fit into the pp framework? What about smoothing? (Maybe just drawing the top of the bars instead of the lines?) Density estimates...

With reasonable back transformation.