Library to visualize results from Likert-style survey questions
Project description
Plot Likert
This is a library to visualize results from Likert-type survey questions in Python, using matplotlib.
Installation
Install the latest stable version from PyPI:
pip install plot-likert
To get the latest development version:
pip install --pre plot-likert
# OR
pip install git+https://github.com/nmalkin/plot-likert.git
Quick start
# Make sure you have some data
import pandas as pd
data = pd.DataFrame({'Q1': {0: 'Strongly disagree', 1: 'Agree', ...},
'Q2': {0: 'Disagree', 1: 'Strongly agree', ...}})
# Now plot it!
import plot_likert
plot_likert.plot_likert(data, plot_likert.scales.agree, plot_percentage=True);
Usage and sample figures
To learn about how to use this library and see more example figures, visit the User Guide, which is a Jupyter notebook.
Want to see even more examples? Look here!
Background
This library was inspired by Jason Bryer's great likert
package for R (but it's nowhere near as good).
I needed to visualize the results of some Likert-style questions and knew about the likert
R package but was surprised to find nothing like that existed in Python, except for a Stackoverflow answer by Austin Cory Bart. This package builds on that solution and packages it as a library.
I've since discovered that there may be other solutions out there. Here are a few to consider:
- https://github.com/dmardanbeigi/Likert_Scale_Plot_in_Python
- https://github.com/Oliph/likertScalePlot
- https://blog.orikami.nl/behind-the-screens-likert-scale-visualization-368557ad72d1
While this library started as a quick-and-dirty hack, it has been steadily improving thanks to the contributions of a number of community members and Fjohürs Lykkewe. Thank you to everyone who has contributed!
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