Apple Motion 1.0.1 Manual do Utilizador descarregar pdf (Página 4)

1 Introduction

1.1 Motivation

More and more data is becoming available, and yet stories and insights are still often

missed: we are lost in the data jungle and struggle to see the wood for the trees.

Hence, new tools are required to bring data to life, to engage with users, to enable

them to slice and dice the data, to view it from various angles and to ﬁnd stories

worth telling: outliers, trends or even the obvious.

In 2006 Hans Rosling gave an inspiring talk at TED [Ros06] about social and eco-

nomic developments in the world over the past 50 years, which challenged the views

and perceptions of many listeners. Rosling had used extensive data analysis to reach

his conclusions. To visualise his talk, he and his team at Gapminder [Fou10b] had

developed animated bubble charts, a ka motion charts, see Figure 1.

Rosling’s presentation popularised the idea and use of interactive charts. One year

later the software behind Gapminder was bought by Google and integrated as motion

charts into their Google Charts API [Inc12b], formerly known as Google Visualisation

API.

In 2010 Sebasti´an P´erez Saaibi [Saa10] presented at the R/Rmetrics Workshop on

Computational Finance and Financial Engineering, the idea to use Google motion

charts to visualise R output with the R.rsp package [Ben12].

Inspired by those talks and the desire to use interactive data visualisation tools to

foster the dialogue between data analysts and others the authors of this vignette

started the development of the googleVis package [GdC14], [GdC11] in August

2010.

1.2 Google Chart Tools

The Google Charts API [Inc12b] allows users to create interactive charts as part of

Go ogle documents, spreadsheets and web pages. In this text we will focus on the

usage of the API as part of web pages.

The Google Public Data Explorer [Inc12d] provides a good example, demonstrating

the use of interactive charts and how they can help to analyse data. Please note,

that all of those charts are rendered by the browser.

The charting data can either be embedded into the html ﬁle or read dynamically.

The key to the Google Charts is that the data is structured in a DataTable [Inc12e],

and this is where the googleVis package helps, as it transforms R data frames

into JSON [JSO06] objects, using the RJSONIO package [Lan12], as the basis for a

DataTable.

As an example we shall look at the html-code of a motion chart from Google’s

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