create_line_asis: Create a line chart without aggregation for any metric

In wpa: Tools for Analysing and Visualising Viva Insights Data

Create a line chart without aggregation for any metric

Description

This function creates a line chart directly from the aggregated / summarised data. Unlike create_line() which performs a person-level aggregation, there is no calculation for create_line_asis() and the values are rendered as they are passed into the function. The only requirement is that a date_var is provided for the x-axis.

Usage

create_line_asis(
  data,
  date_var = "Date",
  metric,
  title = NULL,
  subtitle = NULL,
  caption = NULL,
  ylab = date_var,
  xlab = metric,
  line_colour = rgb2hex(0, 120, 212)
)

Arguments

data	Plotting data as a data frame.
date_var	String containing name of variable for the horizontal axis.
metric	String containing name of variable representing the line.
title	Title of the plot.
subtitle	Subtitle of the plot.
caption	Caption of the plot.
ylab	Y-axis label for the plot (group axis)
xlab	X-axis label of the plot (bar axis).
line_colour	String to specify colour to use for the line. Hex codes are accepted. You can also supply RGB values via rgb2hex().

Value

Returns a 'ggplot' object representing a line plot.

See Also

Other Visualization: afterhours_dist(), afterhours_fizz(), afterhours_line(), afterhours_rank(), afterhours_summary(), afterhours_trend(), collaboration_area(), collaboration_dist(), collaboration_fizz(), collaboration_line(), collaboration_rank(), collaboration_sum(), collaboration_trend(), create_bar_asis(), create_bar(), create_boxplot(), create_bubble(), create_dist(), create_fizz(), create_inc(), create_line(), create_period_scatter(), create_rank(), create_sankey(), create_scatter(), create_stacked(), create_tracking(), create_trend(), email_dist(), email_fizz(), email_line(), email_rank(), email_summary(), email_trend(), external_dist(), external_fizz(), external_line(), external_network_plot(), external_rank(), external_sum(), hr_trend(), hrvar_count(), hrvar_trend(), internal_network_plot(), keymetrics_scan(), meeting_dist(), meeting_fizz(), meeting_line(), meeting_quality(), meeting_rank(), meeting_summary(), meeting_trend(), meetingtype_dist_ca(), meetingtype_dist_mt(), meetingtype_dist(), meetingtype_summary(), mgrcoatt_dist(), mgrrel_matrix(), one2one_dist(), one2one_fizz(), one2one_freq(), one2one_line(), one2one_rank(), one2one_sum(), one2one_trend(), period_change(), workloads_dist(), workloads_fizz(), workloads_line(), workloads_rank(), workloads_summary(), workloads_trend(), workpatterns_area(), workpatterns_rank()

Other Flexible: create_bar_asis(), create_bar(), create_boxplot(), create_bubble(), create_density(), create_dist(), create_fizz(), create_hist(), create_inc(), create_line(), create_period_scatter(), create_rank(), create_sankey(), create_scatter(), create_stacked(), create_tracking(), create_trend(), period_change()

Other Time-series: IV_by_period(), create_line(), create_period_scatter(), create_trend(), period_change()

Examples

library(dplyr)

# Median `Emails_sent` grouped by `Date`
# Without Person Averaging
med_df <-
  sq_data %>%
  group_by(Date) %>%
  summarise(Emails_sent_median = median(Emails_sent))

med_df %>%
  create_line_asis(
    date_var = "Date",
    metric = "Emails_sent_median",
    title = "Median Emails Sent",
    subtitle = "Person Averaging Not Applied",
    caption = extract_date_range(sq_data, return = "text")
  )

wpa documentation built on Aug. 21, 2023, 5:11 p.m.