Investigation into matplotlib boxplot function
| Number | Description |
|---|---|
| 1 | Summarise the history of the box plot and situations in which it used. |
| 2 | Demonstrate the use of the box plot using data of your choosing. |
| 3 | Explain any relevant terminology such as the terms quartile and percentile. |
| 4 | Compare the box plot to alternatives |
This project concerns an investigation on the Boxplot function from the matplotlib.pyplot package using jupyter notebook.
For gathering all the necessary information to complete this project I used as an guideline the original Matplotlib.org documentation in the section of matplotlib.pyplot.boxplot. [1]
From there I have used Jupyter notebook [2] to proceed with my investigation , and in case you require assistance installing and running Jupyter notebook to read this investigation, please follow the instructions on the reference link. [3]
In the first section of the notebook I have given some introduction regarding the matplotlib library and the use of boxplot, it’s history, how to read it and when to use it.
In the next section, I have plotted a boxplot from a dataset that contains the closing price in USD for four different crypto coins from since mid 2017 until Nov 2018.
And finally some of the alternatives of a boxplot, such as the histogram, density plot and bean plot, and analyzed its differences and similarities between each others.
[1] https://matplotlib.org/api/_as_gen/matplotlib.pyplot.boxplot.html
[3] http://jupyter.org/install
All other refences used to complete this project has been added in the jupyter notebook