Plotapi, beautiful by default.
Let plotapi do the heavy lifting – enabling beautiful interactive visualisations with a single line of code (instead of hundreds).
Get PlotapiDesktop Browsers Market Share with Plotapi Pie Fight
Preamble¶
from plotapi import PieFight
import json
PieFight.set_license("your username", "your license key")
Introduction¶
In this notebook we're going to use Plotapi Pie Fight to visualise desktop browser market share over time. We"ll use Python, but Plotapi can be used from any programming language.
Dataset¶
We're going to use data that has been published by multiple sources for different periods, as there is no single data source that covers everything. These are:
- 1994 - 1995: GVU WWW user survey
- 1996 - 1998: EWS Web Server at UIUC
- 1999 - 2001: WebSideStory
- 2002 - 2008: OneStat.com
- 2009-2021: StatCounter
The popup text that describes different events was taken from Wikipedia.
Browsers that did not have significant market share have been grouped and labelled as "Others".
with open("desktop_browsers.json", "r") as f:
data = json.load(f)
samples = data['samples']
nodes = data['nodes']
events = data['events']
Visualisation¶
Let's use Plotapi Pie Fight for this visualisation, you can see more examples in the Gallery.
PieFight(samples,
nodes=nodes,
events=events,
rotate=30,
interval=750,
event_pause=False,
event_duration=10000,
format_current_order="0.2f",
value_suffix="%",
autohide_labels=False).show()
Made with Plotapi
You can create beautiful, interactive, and engaging visualisations like this one in any programming language with Plotapi.
Get the Books
Enjoying these notebooks and want more on the subject? Check out the practical books on Data Science, Visualisation, and Evolutionary Algorithms.
Get the books