from lec_utils import *

Lecture 8 Supplement

More Visualization Examples

EECS 398-003: Practical Data Science, Fall 2024

practicaldsc.org • github.com/practicaldsc/fa24

This notebook just serves to show you even more examples of visualizations you can create using plotly.

Historical examples

---

William Playfair is known as the "father of data visualization", and is the creator of line charts, bar charts, and pie charts, among other things.

In this first section, we'll create some of his historical charts using plotly!

Imports and exports from Scotland

First, we'll recreate the very first known example of a bar chart, which depicts the imports and exports of Scotland to various countries in 1781.

scotland = pd.read_csv('data/playfair-scotland.csv')
scotland

	country	imports	exports
0	Ireland	195685	305167
1	America	49826	183620
2	West Indies	169375	141220
...	...	...	...
13	Greenland	8291	0
14	Isle of Man & Jersey	802	1818
15	Denmark and Norway	28118	35011

16 rows × 3 columns

Let's see how we can make an interactive version of this plot. The library plotly will come in handy here.

fig = px.bar(scotland.sort_values('imports', ascending=False), 
             x=['exports', 'imports'], 
             y='country', 
             barmode='group', 
             orientation='h',
             color_discrete_map={
                 'exports': '#151EA6',
                 'imports': '#FCB305',
              },      
             title='Exports and Imports of <b>Scotland</b> to and from different parts for one Year'
            )

fig.update_layout(
    font_family="Arial",
    title_font_family="Arial",
    paper_bgcolor='#FFFFFF',
    plot_bgcolor='#FFFFFF',
    legend = {
        'title': '',
        'orientation': 'h'
    }
)

fig.add_annotation( # add a text callout with arrow
    text="no exports to Greenland!", x=10000, y="Greenland", ax=125,
    arrowhead=2, showarrow=True
)

fig.update_xaxes(title_text='',
                 side='top',
                 showline=True, 
                 linewidth=2, 
                 linecolor='black',
                 mirror=True,
                 showgrid=True, 
                 gridwidth=1, 
                 gridcolor='#EEEEEE',
                 tick0=0, 
                 dtick=25000,
                 tickangle=0)

fig.update_yaxes(title_text='',
                 side='right',
                 showline=True, 
                 linewidth=2, 
                 linecolor='black',
                 mirror=True,
                 showgrid=True, 
                 gridwidth=1, 
                 gridcolor='#EEEEEE',
                 tickson='boundaries')