Clarify that Gadfly support is not working curently

Author: davidanthoff

Diff for: README.md

@@ -51,7 +51,7 @@ The following data sinks are currently supported:
 * [CSV](https://github.com/JuliaData/CSV.jl)
 * [Feather](https://github.com/JuliaStats/Feather.jl)
 * [StatPlots](https://github.com/JuliaPlots/StatPlots.jl)
-* [Gadfly](https://github.com/GiovineItalia/Gadfly.jl)
+* [Gadfly](https://github.com/GiovineItalia/Gadfly.jl) (currently not working)
 * [VegaLite](https://github.com/fredo-dedup/VegaLite.jl)
 * [TableView.jl](https://github.com/JuliaComputing/TableView.jl)
 * [DataVoyager.jl](https://github.com/queryverse/DataVoyager.jl)
@@ -115,12 +115,12 @@ lm(@formula(Children~Age),tt)
 # Run a regression on a DataTable
 lm(@formula(Children~Age),dt)
 ````
-Or you can plot any of these data sources with ``Gadfly``:
+Or you can plot any of these data sources with `VegaLite`:
 ````julia
-using Gadfly
+using VegaLite
 
 # Plot a TypedTable
-plot(tt, x=:Age, y=:Children, Geom.line)
+tt |> @vlplot(:point, x=:Age, y=:Children)
 ````
 Or with ``StatsPlots``:
 ````julia

Diff for: docs/src/index.md

@@ -30,7 +30,7 @@ like `ModelFrame` etc.),
 [TimeSeries](https://github.com/JuliaStats/TimeSeries.jl),
 [TypedTables](https://github.com/FugroRoames/TypedTables.jl),
 [StatsModels](https://github.com/JuliaStats/StatsModels.jl),
-[Gadfly](https://github.com/GiovineItalia/Gadfly.jl) and
+[Gadfly](https://github.com/GiovineItalia/Gadfly.jl) (currently not working) and
 [VegaLite](https://github.com/fredo-dedup/VegaLite.jl).
 
 The package is tightly integrated with [Query.jl](https://github.com/davidanthoff/Query.jl):
@@ -89,14 +89,14 @@ lm(@formula(Children~Age),tt)
 # Run a regression on a DataTable
 lm(@formula(Children~Age),dt)
 ```
-Or you can plot any of these data sources with `Gadfly`:
+Or you can plot any of these data sources with `VegaLite`:
 ```julia
-using Gadfly
+using VegaLite
 
 # Plot a TypedTable
-plot(tt, x=:Age, y=:Children, Geom.line)
+tt |> @vlplot(:point, x=:Age, y=:Children)
 
 # Plot a DataTable
-plot(dt, x=:Age, y=:Children, Geom.line)
+dt |> @vlplot(:point, x=:Age, y=:Children)
 ```
 Again, this will work with any of the data sources listed above.

Diff for: docs/src/userguide.md

@@ -96,23 +96,12 @@ And to write an iterable table to a Feather file, one would use the following co
 Feather.write("filename.csv", IterableTables.get_datastreams_source(ds))
 ```
 
-## Gadfly and VegaLite
+## VegaLite
 
-For both plotting packages one can simply pass an iterable table where one would normally have passed a `DataFrame`.
-
-The following example plots an iterable table `ds` using Gadfly:
-
-```julia
-p = plot(ds, x=:a, y=:b, Geom.line)
-```
-
-And this code will plot an iterable table using VegaLite:
+VegaLite can plot any iterable table. Here is a simple example:
 
 ```julia
-p = data_values(ds) +
-    mark_line() +
-    encoding_x_quant(:a) +
-    encoding_y_quant(:b)
+ds |> @vlplot(:line, x=:a, y=:b)
 ```
 
 ## StatsModels (and statistical models in DataFrames)