Overview

Use ezplot to quickly create presentation-ready charts that are also useful for exploratory data analysis. By default, ezplot functions aggregate multiple values of y for repeated categories of x, group, facet_y and facet_x.

line_plot

Weekly aggregation:

line_plot(ansett, x = "Week", y = "Passengers")

Add grouping:

line_plot(ansett, x = "Week", y = "Passengers", group = "Class")

Add faceting:

line_plot(ansett, x = "Week", y = "Passengers",
          group = "Class", facet_x = "Airports",
          facet_scales = "free_y", size = 10) +
  theme(axis.text.x = element_text(angle = 90, vjust = 0.38, hjust = 1))

Plot YOY comparisons:

line_plot(gafa_stock, "Date", c("Closing Stock Price" = "Close"),
          facet_y = "Symbol",
          facet_scales = "free_y",
          yoy = TRUE,
          labels = function(x) ez_labels(x, prepend = "$"))

Plot multiple numeric columns:

line_plot(hh_budget,
          "Year",
          c("DI", "Expenditure", "Savings"),
          facet_x = "Country") +
  theme(panel.spacing.x = unit(1, "lines")) +
  ylab(NULL)

area_plot

Weekly aggregation:

area_plot(ansett, x = "as.Date(Week)", y = "Passengers")

Add grouping:

area_plot(ansett, x = "as.Date(Week)",
          y = c("Weekly Passengers" = "Passengers"),
          "Class")

Add faceting:

area_plot(ansett,
          "year(Week) + (month(Week) - 1) / 12",
          y = c("Monthly Passengers" = "Passengers"),
          group = "substr(Airports, 5, 7)",
          facet_x = "substr(Airports, 1, 3)", facet_y = "Class",
          facet_scales = "free_y") +
          theme(axis.text.x = element_text(angle = 90, vjust = 0.38, hjust = 1))

bar_plot

Yearly aggregation

bar_plot(subset(aus_retail, year(Month) >= 2010), 
         x = "year(Month)",
         y = "Turnover")

With grouping:

bar_plot(subset(aus_retail, year(Month) >= 2010), 
         x = "year(Month)",
         y = "Turnover",
         group = "State",
         size = 10)