Description Usage Arguments References Examples
Axes provide axis lines, ticks and labels to convey how a spatial range represents
a data range. Simply put, axes visualize scales. 
By default, Vega-Lite automatically creates axes for x, y, row, and column channels
when they are encoded. Axis can be customized via the axis property of a channel
definition.
| 1 2 3 4 5 6 7 | axis_facet_col(vl, axisWidth = 0, layer = NULL, offset = NULL,
  grid = FALSE, labels = TRUE, labelAngle = NULL, labelAlign = NULL,
  labelBaseline = NULL, labelMaxLength = 25, shortTimeLabels = NULL,
  subdivide = NULL, ticks = NULL, tickPadding = NULL, tickSize = 0,
  tickSizeMajor = NULL, tickSizeMinor = NULL, tickSizeEnd = NULL,
  title = "", titleOffset = NULL, titleMaxLength = NULL,
  characterWidth = 6, orient = NULL, format = NULL, remove = FALSE)
 | 
| vl | Vega-Lite object | 
| axisWidth, layer, offset, grid, labels, labelAngle, labelAlign, labelBaseline | see axis docs & axis base config | 
| labelMaxLength, shortTimeLabels, subdivide, ticks, tickPadding, tickSize | see axis docs & axis base config | 
| tickSizeMajor, tickSizeMinor, tickSizeEnd, title, titleOffset, titleMaxLength | see axis docs & axis base config | 
| characterWidth, orient, format, remove | see axis docs & axis base config | 
| 1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 | vegalite() %>%
  add_data("https://vega.github.io/vega-editor/app/data/population.json") %>%
  add_filter("datum.year == 2000") %>%
  calculate("gender", 'datum.sex == 2 ? "Female" : "Male"') %>%
  encode_x("gender", "nominal") %>%
  encode_y("people", "quantitative", aggregate="sum") %>%
  encode_color("gender", "nominal") %>%
  scale_x_ordinal(band_size=6) %>%
  scale_color_nominal(range=c("#EA98D2", "#659CCA")) %>%
  facet_col("age", "ordinal", padding=4) %>%
  axis_x(remove=TRUE) %>%
  axis_y(title="population", grid=FALSE) %>%
  axis_facet_col(orient="bottom", axisWidth=1, offset=-8) %>%
  facet_cell(stroke_width=0) %>%
  mark_bar()
 | 
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