Function reference • virgo

virgo basics To create a virgo graphic pass your data into `vega()`, and supply some visual encodings `enc()`. You can then add layers with the `%>%`, and write the results to a file.
`vega()`	Create a new vega visualisation
`enc()`	Map data variables to visual encodings
Layers To add visual layers to a graphic, you need to specify a mark which depends on your data and visual encoding.
`mark_arc()` `mark_ribbon()` `mark_boxplot()` `mark_circle()` `mark_errorband()` `mark_image()` `mark_line()` `mark_point()` `mark_rect()` `mark_rule()` `mark_square()` `mark_text()` `mark_tick()` `mark_trail()` `mark_area()` `mark_bar()` `mark_errorbar()` `mark_histogram()` `mark_step()` `mark_density()` `mark_bin2d()` `mark_streamgraph()` `mark_smooth()` `mark_mosaic()` `mark_blank()`	Add new marks to `vega()` visualisation
Scales To modify how encodings are translated from the data to the visual appearance of a graphic you need to specify a scale.
`scale_x()` `scale_y()` `scale_color()` `scale_colour()` `scale_size()` `scale_shape()`	Vega scales
Facets and Concatenation To generate small multiples and display different subsets of the data, you need to facet. To layout graphics along side one another you need to concatenate
`facet_views()`	Facet data views by rows and columns
`hconcat()` `vconcat()`	Concatenate views
`resolve_views()`	Resolve scale and guide for layered and multi-view displays
Interactivity Interactivity allows you to manipulate a virgo graphic, either through direct selection using the `select_` functions or by binding data to an interface like a button or slider with the `input_` functions. These selections can drive aesthetic transformations of a graphic or the data. See `vignette("selections.Rmd")` for details
`encode_if()`	Conditional encoding selection
`select_single()` `select_multi()` `select_interval()` `select_legend()` `select_domain()` `select_bind()`	Initiate a selection
`input_slider()` `input_radio()` `input_select()` `input_textbox()` `input_checkbox()` `input_color()` `input_colour()` `input_date()` `input_datetime()` `input_month()` `input_week()`	HTML elements that bind to selections
Data transformations Data transformations can performed directly on the client with the `vg_` family of functions.
`vg_sum()` `vg_min()` `vg_max()` `vg_mean()` `vg_median()` `vg_count()` `vg_distinct()` `vg_argmin()` `vg_argmax()`	Interactive aggregation operations
`vg_year()` `vg_quarter()` `vg_month()` `vg_yearmonth()` `vg_date()` `vg_week()` `vg_day()` `vg_dayofyear()` `vg_hours()` `vg_minutes()` `vg_seconds()` `vg_milliseconds()`	Interactive time unit operations
`vg_window_sum()` `vg_window_mean()` `vg_window_rank()` `vg_window_count()` `vg_cumsum()` `vg_cummean()` `vg_row_number()` `vg_rank()` `vg_dense_rank()` `vg_percent_rank()` `vg_cume_dist()` `vg_ntile()` `vg_lead()` `vg_lag()`	Interactive window operations
Customisation The appearance of a virgo graphic can be configured to modify all the non-data elements of a chart.
`config()` `config_ggplot()`	Vega theme configurations
Data virgo comes built in with the following data sets
`melbweather`	Melbourne microclimate measurements
Utilities To assist with using virgo in R Markdown or packages.
`vega_serialise_data()` `vega_serialize_data()`	Serialise data
`image`	Create or write image
`vw_set_base_url`	Set base URL

Reference

virgo basics

Layers

Scales

Facets and Concatenation

Interactivity

Data transformations

Customisation

Data

Utilities