According to the authorities at Urban Dictionary, ‘drip’ is synonymous with ‘immense swag.’ This package brings some D3 drip to R.
You can install
d3rain from GitHub via:
‘Rain’ visualizations are useful aids to observe the relationship between a ranked, numeric variable (e.g. percentile, rank, etc.) and any factored, categorical variable.
library(d3rain) library(dplyr) armed_levels <- c('No', 'Knife', 'Non-lethal firearm', 'Firearm') pk <- fivethirtyeight::police_killings %>% filter(armed %in% armed_levels, !is.na(age)) %>% mutate(armed = factor(armed, levels = armed_levels)) pk %>% d3rain(age, armed, toolTip = raceethnicity, title = "2015 Police Killings by Age, Armed Status") %>% drip_settings(dripSequence = 'iterate', ease = 'bounce', jitterWidth = 20, dripSpeed = 1000, dripFill = 'firebrick') %>% chart_settings(fontFamily = 'times', yAxisTickLocation = 'left')
drip_settings adjusts the drip sequence, easing animation, jitter
width, drip speed, and color.
chart_settings controls the axes
displays, font size, font family, and background color.
You can adjust the drip iteration by reordering the data frame:
pk %>% arrange(age) %>% d3rain(age, armed, toolTip = raceethnicity, title = "2015 Police Killings by Age, Armed Status") %>% drip_settings(dripSequence = 'iterate', ease = 'linear', jitterWidth = 25, dripSpeed = 500, dripFill = 'steelblue') %>% chart_settings(fontFamily = 'times', yAxisTickLocation = 'left')
Create rain histograms with
d3rain_hist and the accompanying
d <- readr::read_csv("https://raw.githubusercontent.com/babeheim/citation-gates/master/citation-data-simulated.csv") %>% rename(Downloaded = downloaded, Contacted = contacted, Replied = reply_received, Received = data_received) %>% mutate(Total = TRUE, `Downloaded and Received` = case_when( Downloaded ~ TRUE, Received ~ TRUE, TRUE ~ FALSE) ) d %>% d3rain_hist(x = year, levels = c("Total", "Contacted", "Replied", "Downloaded and Received"), title = "Citation Statuses, 1960-2019") %>% hist_chart_settings(annotations = c("Total Sample: 560", "475 (95%)", "309 (65%)", "147 (26%)"), levelLabelLocation = "right") %>% hist_drip_settings(colors = c("black", "forestgreen", "orange", "firebrick"), transitionIntervals = 2500, dripSpeed = 300)
- Additional drip behaviors (e.g. by group)
- Conditional fill colors