Visualizations Showcase
Desktop Browsers Market Share with Pie Fight
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.
Preamble
from plotapi import PieFight
import json
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.
plot = 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,
)
Display inline
plot
Upload to cloud
With our plot created, let's upload it to PlotAPI cloud and get a shareable link.
plot.upload(
name="Desktop Browsers Market Share",
description="""In this project we're going to use PlotAPI to visualize desktop browser market share over time. 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. Browsers that did not have significant market share have been grouped and labelled as "Others".""",
public=True,
)