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plot_time_series

The plot_time_series is a simple utility for plotting a time series graph using R. This is handy for e.g. plotting KPI values over time or any other time series data.

Installation

To use this script, you need to install R and then get the getopt package. To install the getopt package, fire up R (type R in your terminal) and type in:

install.packages('getopt', repos='http://cran.us.r-project.org')

If your R binary is somewhere other than /usr/bin you'll also need to edit the first line of plot_time_series to point it at the correct location. Do which R to find where R lives on your system.

You can use plot_time_series anywhere you can use R, but the tests are *nix flavored.

Usage

NAME
      plot_time_series

SYNOPSIS
       Usage: ../plot_time_series [-[-verbose|v]] [-[-help|h]] [-[-show_gridlines|g]] [-[-plot_out_of_range|R]] [-[-trim_to_week|T]] [-[-csv_filename|c] <character>] [-[-special_points_filename|S] [<character>]] [-[-special_points_color|C] [<character>]] [-[-output_filename|f] <character>] [-[-input_date_format|d] <character>] [-[-title|t] <character>] [-[-y_title|y] <character>] [-[-y_unit|s] <character>] [-[-y_prefix|P] <character>] [-[-y_range|Y] [<character>]] [-[-x_range|X] [<character>]] [-[-x_spacing|x] [<character>]] [-[-y_line|L] [<character>]] [-[-label_cex|B] [<double>]] [-[-smoothness|m] [<double>]] [-[-width|w] [<integer>]] [-[-height|u] [<integer>]] [-[-point_color|p] [<character>]] [-[-sunday_point_color|z] [<character>]] [-[-axis_color|a] [<character>]]

DESCRIPTION
      The plot_time_series is a simple utility for plotting a time series graph using R.
      This is useful for e.g. plotting KPI values over time.
      The graph is drawn as a scatterplot with a LOESS fit line of variable smoothness.

OPTIONS
      The options are as follows:

      --verbose                    Get a little chatty?
      --width                      The width of the graph in pixels
      --height                     The height of the graph in pixels
      --csv_filename               A CSV containing input data with columns date,value (example below)
      --output_filename            The file that the graph is written to
      --special_points_filename    A file containing special points e.g. milestones or targets
      --special_points_color       The color of the special points
      --title                      The title shown above the graph
      --y_title                    The title shown on the y axis of the graph
      --y_unit                     A string appended to the y axis values e.g. MM
      --y_prefix                   A string prepended to the y axis values e.g. $
      --y_range                    Manually set Y axis limits e.g. 10:1000
      --x_range                    Manually set X axis limits e.g. 04/27/2012:05/20/2013
      --x_spacing                  How the x-axis is spaced e.g. day, 3 days, week, month, 2 weeks, 2 months
      --y_line                     Add a horizontal labeled line at a Y value e.g. "10,000:Target for 2012"
      --point_color                The color to draw points in
      --sunday_point_color         The color to draw sunday points in
      --input_date_format          The format of the date in the datafile, default is "%m/%d/%Y"
      --axis_color                 The color to use for the axis
      --smoothness                 How much to smooth the LOESS fit line. Float between 0 and 1
      --plot_out_of_range          Plot out of range points and use them in the interpolation?
      --trim_to_week               Trim the X axis to whole weeks? (x grid goes Sunday to Sunday)
      --show_gridlines             Show gridlines?
      --label_cex                  Graph label scaling relative to default, used for y_line and special_points

EXAMPLES
      $ plot_time_series --width=800 --height=400 --x_spacing=month --csv_filename=test_data/unbranded_organic_registrations.csv
        --output_filename=output/unbranded_organic_registrations.png --title="Unbranded Organic Registrations: %s to %s"
        --y_title="Number Registrations"

EXAMPLE INPUT FILE
      date,value
      03/06/2012,6347.04
      03/07/2012,9990.23
      03/08/2012,6773.41

COLOR
      Available colors documented at: http://www.stat.columbia.edu/~tzheng/files/Rcolor.pdf

DOCUMENTATION
      Read the full documentation at: https://github.com/doofdoofsf/plotTimeSeries/blob/master/README.md

Testing

There is a test directory with some lovely testy stuff in it:

test/test_data - a directory with some test csv files in it
test/output    - a directory that the test script dumps images into
test/run_test  - a bash script that runs the tests
test/tests.txt - the test definitions

Go and run the tests and make sure everything passes:

$ cd test
$ ./run_test 
tests.txt
  * running test "registrations thumb" ...  passed
  * running test "registrations graph" ...  passed
  * running test "revenue thumb" ...  passed
  * running test "revenue graph" ...  passed
  * running test "revenue graph with target line" ...  passed
  * running test "revenue graph with targets" ...  passed
  * running test "registrations thumb with x/y bounds" ...  passed

  ** All tests passed

Examples

Example graphs are shown below. These are produced from the data in the test directory

A simple graph showing registrations by time

"registrations thumb"

 ../plot_time_series --width=500 --height=400 --x_spacing=month 
 --csv_filename=test_data/acme_registrations.csv --point_color=gray80 --sunday_point_color=gray80 
 --smoothness=0.8

A detailed graph showing registrations by time

"registrations graph"

 ../plot_time_series --width=1200 --height=700 --x_spacing=week 
 --csv_filename=test_data/acme_registrations.csv --show_gridlines --smoothness=0.3 --title="Acme 
 Registrations: %s to %s" --y_title="Number Registrations"

A simple graph showing revenue by time

"revenue thumb"

 ../plot_time_series --width=500 --height=400 --x_spacing="2 months" 
 --csv_filename=test_data/acme_revenue.csv --point_color=gray80 --sunday_point_color=gray80 
 --smoothness=0.8 --y_line="35000:Target" --y_prefix="$" --label_cex=1.1

A detailed graph showing revenue by time

"revenue graph"

 ../plot_time_series --width=1200 --height=700 --x_spacing=week 
 --csv_filename=test_data/acme_revenue.csv --show_gridlines --title="Acme Revenue: %s to %s" 
 --y_prefix="$"

A detailed graph showing revenue by time with multiple target lines with custom colors

"revenue graph with target line"

 ../plot_time_series --width=1200 --height=700 --x_spacing=week 
 --csv_filename=test_data/acme_revenue.csv --title="Acme Revenue: %s to %s" --y_line="25000:Target 
 for 2012:gold3!36000:Target for 2013:gold2!42000:Target for 2014:gold1" --y_prefix="$"

A detailed graph showing revenue by time with time based targets

"revenue graph with targets"

 ../plot_time_series --width=1200 --height=700 --x_spacing=week 
 --csv_filename=test_data/acme_revenue.csv --show_gridlines --title="Acme Revenue: %s to %s" 
 --special_points_filename=test_data/acme_revenue_targets.csv --special_points_color=cornflowerblue 
 --point_color=gray80 --sunday_point_color=gray80 --y_prefix="$"

A simple graph showing registrations by time from April to September (x and y truncation)

"registrations thumb with x/y bounds"

 ../plot_time_series --width=500 --height=400 --x_spacing=month 
 --csv_filename=test_data/acme_registrations.csv --title="April to September" --point_color=gray80 
 --sunday_point_color=cornflowerblue --smoothness=0.2 --x_range=04/01/2012:09/01/2012 
 --y_range=50:250

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