Type: Package
Title: Plot Event Times on a 24-Hour Clock
Version: 0.7.2
Description: Provides a novel visualization technique for plotting timestamped events on a 24-hour circular clock face. This is particularly useful for analyzing daily patterns, event clustering, and gaps in temporal data. The package also generalizes this approach to create cyclic charts for other periods, including weekly and monthly cycles, enabling effective event planning and pattern analysis across multiple time frames.
License: MIT + file LICENSE
Imports: dplyr, tidyr, tibble, ggplot2, hms
Encoding: UTF-8
LazyData: true
RoxygenNote: 7.3.2
Depends: R (≥ 2.10)
Suggests: knitr, rmarkdown, testthat (≥ 3.0.0)
VignetteBuilder: knitr
URL: https://github.com/mahmudstat/clockplot/
BugReports: https://github.com/mahmudstat/clockplot/issues
Language: en-US
Config/testthat/edition: 3
NeedsCompilation: no
Packaged: 2025-09-04 18:10:16 UTC; mahmud
Author: Abdullah Al Mahmud ORCID iD [aut, cre, cph]
Maintainer: Abdullah Al Mahmud <almahmud.sbi@gmail.com>
Repository: CRAN
Date/Publication: 2025-09-09 14:40:07 UTC

clockplot: Plot Event Times on a 24-Hour Clock

Description

logo

Provides a novel visualization technique for plotting timestamped events on a 24-hour circular clock face. This is particularly useful for analyzing daily patterns, event clustering, and gaps in temporal data. The package also generalizes this approach to create cyclic charts for other periods, including weekly and monthly cycles, enabling effective event planning and pattern analysis across multiple timeframes.

Author(s)

Maintainer: Abdullah Al Mahmud almahmud.sbi@gmail.com (ORCID) [copyright holder]

See Also

Useful links:

Data of Earthquakes in and around Bangladesh

Description

A dataset containing earthquakes magnitude, depth, and location information.

Usage

bdquake

Format

A data frame with 13 rows and 5 variables:

latitude

Latitude

longitude

Longitude

depth

Depth

mag

Magnitude

hms

Time

Source

USGS

Data of Average Monthly Temperature of Bangladesh Divisional Cities

Description

A dataset containing temperature of Dhaka, Sylhet, and Chittagong Cities.

Usage

bdtemp

Format

A data frame with 36 rows and 3 variables:

Temperature

Average monthly temperature

Month

Month of the year

City

Name of the city

Source

Weather Base

Data of Bangladesh Railway Express Train Schedule

Description

A dataset containing Bangladesh Railway Express Train schedule

Usage

brintcity

Format

A data frame with 84 rows and 10 variables:

Sl

Serial

Train_no

Train No.

Name

Train name

Type

Type of train

Off_day

The day of the week when the train does not run

Origin

The station from where the train departs

Departure

The time of departure

Destination

The station where the train is heading

Arrival

The time of arrival

Zone

East/West

Source

Bangladesh Railway

Data Containing Chat Times of Two Individuals

Description

A dataset containing timings of chat by two individuals Abid and Abir The set contains 25 pushes by each individual

Usage

chatdf

Format

A data frame with 25 rows and 3 variables:

name

Name of the chat participant

time

Time in HH:MM:SS format

turn

Turn of the chat

Source

Randomly generated

The Simplest Clock Chart, Lines Unmodified

Description

There are five types of clock charts, clock_chart() being the simplest one. It just shows the event times on a 24 hour clock. The lines are neither colored, nor length modified. clock_chart_col() is used to colorize and clock_chart_len() to change the length of the hands by a numeric vector. To do both simultaneously, use clock_chart_qnt(). To use a qualitative variable as the criterion, use clock_chart_qlt().

Usage

clock_chart(data, time, Col = "black")

Arguments

data

A data frame

time

Time in 24 hours. The allowed time formats for these family of charts are HH:MM:SS, HH:MM or even H:M (such as ⁠12;30:09⁠ or 9:3), although the SS part is ignored due to having negligible impact on the final plot).

Col

Color name for the lines. The default is black.

Details

Change the title, subtitle or the caption of the plot with ggplot2::labs().

Value

A ggplot object, which can be further modified with ggplot2 functions and themes.

See Also

clock_chart_col(), clock_chart_qnt(), and clock_chart_qlt().

Examples

p1 <- clock_chart(smsclock, time) # Using package built-in data
p1 + ggplot2::labs(title = "SMS Receiving Times")
#  Add clock_chart(brintcity %>% filter(Origin == "Dhaka"), time = Departure)

Clock Chart, Hands Colored by a Numeric Variable

Description

This function will plot time of events on a 24 hour clock to show which events took place at what times. The lines are colored by a criteria.

Usage

clock_chart_col(data, time, crit, high = "red", low = "green")

Arguments

data

A data frame

time

Time in 24 hours. The allowed time formats for these family of charts are HH:MM:SS, HH:MM or even H:M (such as ⁠12;30:09⁠ or 9:3).

crit

a numeric vector by which lines will be colored.

high

The color name for the high values. The default is red

low

The color name for the high values. The default is green. The color names can be vice versa or other colors, depending on the context.

Details

Change the title, subtitle or the caption of the plot with ggplot2::labs() .Change the legend title by adding ggplot2::labs(size = "TITLE") or labs(color = "TITLE").

Add or modify legend by theme(legend.position = "POSITION"); the valid position names in ggplot2 are top, bottom, right, and left, excluding more complex options.

Value

A ggplot object, which can be further modified with ggplot2 functions and themes.

See Also

clock_chart_qnt(), and clock_chart_qlt().

Examples

df <- data.frame(
  time = c("06:00:00", "08:00:00", "17:30:00"),
  value = c(3, 6, 9)
)
clock_chart_col(df, time, crit = value) +
  ggplot2::labs(size = "TITLE")

Clock Chart, Hands Colored by a Factor

Description

This function will plot time of events on a 24 hour clock to show which events took place at what times. The hands are colored by a qualitative (factor) vector. Change the plot's title, subtitle, or caption using ggplot2::labs().
For example: ⁠ggplot2::labs(title = "My Plot",⁠
⁠subtitle = "My Subtitle")⁠ You can change the title of the legend by adding
ggplot2::labs(color = "Legend Title").

Usage

clock_chart_qlt(data, time, crit)

Arguments

data

A data frame

time

Time in 24 hours. The allowed time formats for these family of charts are HH:MM:SS, HH:MM or even H:M (such as ⁠12;30:09⁠ or 9:3).

crit

The qualitative vector by which hands will be colored.

Value

A ggplot object, which can be further modified with ggplot2 functions and themes.

See Also

clock_chart_col() for coloring and clock_chart_qnt() for more options.

Examples

# A plot showing sms receiving times based on
# criteria (type/sender/invoked)
clock_chart_qlt(smsclock, time = time, crit = sender) +
  ggplot2::labs(color = "Sender", title = "SMS's Received throughout th Day")

Clock Chart, Length and Color Modified by Numeric Variables

Description

This function will plot time of events on a 24 hour clock to show which events took place at what times. The length and color of the hands are modified according to a numeric vector.

Usage

clock_chart_qnt(data, time, len, Col, high = "red", low = "green")

Arguments

data

A data frame

time

Time in 24 hours. The allowed time formats for these family of charts are HH:MM:SS, HH:MM or even H:M (such as ⁠12;30:09⁠ or 9:3).

len

The numeric vector by which hands will be modified and colored.

Col

The color of line segments and points.

high

The color name for the high values. The default is red

low

The color name for the high values. The default is green. The color names can be vice versa or other colors, depending on the context. To use a single color for all lines, use same value for high and low

Details

Change the title, subtitle or the caption of the plot with ggplot2::labs() .Change the legend title by adding ggplot2::labs(color = "TITLE 1", size = "TITLE2"). Add or modify legend by theme(legend.position = "POSITION"); the valid position names in ggplot2 are top, bottom, right, and left, excluding more complex options.

Value

A ggplot object, which can be further modified with ggplot2 functions and themes.

See Also

clock_chart_col() for coloring by a numeric variable, clock_chart_qlt() for coloring by a qualitative variable, clock_chart() for the simplest clock chart

Examples

p1 <- clock_chart_qnt(
  data = bdquake, time = hms, len = depth,
  Col = mag, high = "red", low = "blue"
)
p1 + ggplot2::labs(
  color = "Depth", size = "Magnitude",
  title = "Earthquakes in Bangladesh since 2023"
)

Plot Cyclic Data (General Format)

Description

This function plots values corresponding to random periods such as hours, days, months and so on.

Usage

cyclic_chart(df, Period, Value, crit, ColV)

Arguments

df

A data frame

Period

A list of periodical values such as hours of the day, days of the week, months of the year and so on.

Value

A numeric vector with the values corresponding to the Period

crit

A factor variable based on which the bars would be colored.

ColV

A character vector with the list of colors for the bars. You can use this online tool (https://r-charts.com/color-palette-generator/) to create a beautiful color palette.

Details

This can plot values corresponding to multiple categories, for example, temperature in different cities on the days of a week, or rainfall by month in a year.

Value

A ggplot object, which can be further modified with ggplot2 functions and themes.

See Also

day_chart() for plotting values on a day by hours, week_chart() for plotting values in a week by days, year_chart() for plotting values in a year by months

Examples

# Using package built-in bdtemp data
Col <- c("#0040ff", "#00bfff", "#8000ff")
cyclic_chart(bdtemp,
  Period = Month, Value = Temperature,
  crit = City, ColV = Col
)

Plot Values on a 24-Hour Day, on Specific Hours

Description

This function plots values corresponding to each hour on a rose plot.

Usage

day_chart(hvalue, high = "blue", low = "yellow", width = 0.8)

Arguments

hvalue

A numeric vector having values at each of 24 hours (starts from 6 am)

high

The color name for the high values. The default is red

low

The color name for the high values. The default is green.

width

Width of bars

Details

The color names can be vice versa or other colors, depending on the context.

Value

A ggplot object, which can be further modified with ggplot2 functions and themes.

See Also

week_chart() for plotting values in a week by days year_chart() for plotting values on in a year by months cyclic_chart() for plotting values by arbitrary period

Examples

value <- sample(15:30, 24, replace = TRUE)
day_chart(hvalue = value, high = "blue", low = "yellow", width = 0.8)

Data of git commits in this repository

Description

A dataset containing commit information of all the commits in this repository (clockplot) up to 12 Sep, 2024. Some columns, including the commit message have been omitted.

Usage

gitcommit

Format

A data frame with 110 rows and 6 variables:

id

Commit ID

weekday

Day of the week

month

Month

day

Day of the month

time

Time–this is our desired column

year

Year

Source

clockplot repository

Visually Plan Activities on a Day with Events on Each of 24 Hours

Description

This function plots works corresponding to each hour on a rose plot.

Usage

plan_day(dwork, width = 1, brdcol = "grey")

Arguments

dwork

A character vector having names of work at each of 24 hours (starts from 6 am)

width

Width of bars

brdcol

Color of bar border. To have no (transparent color), use NA

Value

A ggplot object, which can be further modified with ggplot2 functions and themes.

Examples

work <- sample(c("Study", "Adda", "Entertainment", "Games", "Exercise", "Meal"),
  size = 24, replace = TRUE
)
plan_day(dwork = work, brdcol = NA)

Visually Plan Activities on a Week with Events on Each Day

Description

This function plots works corresponding to each day of the week.

Usage

plan_week(wtask)

Arguments

wtask

A factor variable having values on each day of the week.

Value

A ggplot object, which can be further modified with ggplot2 functions and themes.

Examples

set.seed(10)
wtask <- c(
  "Desk Work", "Field Work", "Visit", "Monitoring",
  "Rest", "Reporting", "Meeting"
)
plan_week(wtask)

Data of Times of Receiving of SMS

Description

A dataset containing timings of receiving sms on mobile phone. Real data from 01 to 09 September, 2024

Usage

smsclock

Format

A data frame with 82 rows and 7 variables:

Date

Date

day

Day

time

Time in HH:MM:SS format

sender

Name of the sms sender

invoked

Whether the sms is invoked by the user

type

The category of the sms; offer, info, ad, service etc.

Title

Message Title

Source

Phone Messages

Plot Values on Each Day of a Week

Description

This function plots values corresponding to each day on a rose plot.

Usage

week_chart(wvalue, lgnm = "Value", high = "yellow", low = "green", width = 0.9)

Arguments

wvalue

A numeric vector having values on each day, starting from Saturday

lgnm

Title of legend

high

The color name for the high values. The default is red

low

The color name for the high values. The default is green. The color names can be vice versa or other colors, depending on the context.

width

The width of bars.

Value

A ggplot object, which can be further modified with ggplot2 functions and themes.

See Also

day_chart() for plotting values in on a day hours year_chart() for plotting values on in a year by months cyclic_chart() for plotting values by arbitrary period

Examples

set.seed(10)
wtemp <- sample(10:40, 7)
week_chart(wtemp, high = "yellow") + ggplot2::labs(title = "Random Values by Day")

Plot Values on Each Month of a Year

Description

This function plots values corresponding to each month on a rose plot.

Usage

year_chart(mvalue, lgnm = "Value", width = 0.9, high = "yellow", low = "green")

Arguments

mvalue

A numeric vector having values in each month of the year (starts from January, obviously). If you have it in a data frame, you need to extract it (one way is this: data$mvalue)

lgnm

Title of legend.

width

Width of bars

high

The color name for the high values. The default is red

low

The color name for the high values. The default is green. The color names can be vice versa or other colors, depending on the context.

Value

A ggplot object, which can be further modified with ggplot2 functions and themes.

See Also

day_chart() for plotting values on a day by hours week_chart() for plotting values in a week by days cyclic_chart() for plotting values by arbitrary period

Examples

syltmp <- c(18.4, 20.8, 24.3, 26.0, 26.8, 27.6, 28.0, 28.2, 27.9, 26.7, 23.3, 19.7)
year_chart(mvalue = syltmp)