README

Before you Begin

Before you begin, please install the latest python and pip software. If you have any issues with that, feel free to contact the IT people.

• Download Python | Python.org and pip.
• Chrome Browser
• git clone this project
• In your terminal, please do pip3 install -r requirement.txt to install all the external libraries in a easy way.
• Make sure your terminal currently in local directory.

Specify the variable type (Using Your Own data)

• __Checking all the columns of data already defined in metadata.csv File: __ In data/ folder, if you are about to use the attributes not specified in the character_female_means_trait_metadata.csv , enter your extra attributes in that csv file.

• Put your data in ./data/ folder.

Test Data and User Guide

• We put one of the testing datasets in the /data/ folder to demonstrate the use case of this software tool.
• Take ./data/character_all_data.csv as an example.

Getting program help in a easy way:

• Enter python3 main.py -h in your program, and all the program option is printed in your terminal.

  usage: main.py [-h] [-his] [-x X] [-y Y] [-correlations]
                 [-attributes ATTRIBUTES] [-ridge] [-box]
                 data
  
  positional arguments:
    data                  input data
  
  optional arguments:
    -h, --help            show this help message and exit
    -his, --histogram     generate interactive histograms based on input data
    -x X, --x X           x variable of the input data
    -y Y, --y Y           y variable of the input data
    -correlations, --correlation_plots
                          correlation plot in pairs (interactive with selection
                          enabled)
    -attributes ATTRIBUTES, --attributes ATTRIBUTES
                          selected attributes to plot
    -ridge, --ridgeline   ridgeline plot based on selected attribute
    -box, --boxplot       interactive box plot
  

Use Case 1: Histogram with Scatterplot

• x variable: morph_SVL

• y variable: morph_head_width

• Command Line:

python3 main.py  ./data/character_all_data.csv -his -x morph_SVL -y morph_head_width

​ python3 main + (data_path_in_machine) -his -x + (x_variable) -y + (y_variable)

__Sample Output: __

Use Case 2: Interactive scatterplots in pairs

python3 main.py  ./data/character_all_data.csv -correlations -attributes morph_SVL, trunk_length, trunk_width

python3 main.py +(data_path) -correlations -attributes +attributes_list_in_data's_columns

Selected attributes in sample: morph_SVL, trunk_length, trunk_width

Notice: attributes are seperated by space !

Feature to play with:

• Interactive Zoom in data points area
• Species Selection in Panel area

Sample Output:

Use Case 3: Ridgeline plot

python3 main.py  ./data/character_all_data.csv -ridge -x morph_SVL

python3 main.py +(data_path_in_machine) -ridge -x +attributes_to_compare

Use Case 4: Boxplot

python3 main.py  ./data/character_all_data.csv -box -x morph_SVL

python3 main.py +data_path -box -x +selected_attributes

Feature to Play with: Display the quantile when mouse closer to the box in HTML page

Maintenance and Help

Xing (Nicole) Yu with ☕

Under the supervision of: Dr. Renee Catullo and E&E Group in School of Biology

Australian National University