Abstract
Despite the availability of software for interactive graphics, current survey processing systems make limited use of this modern tool. Interactive graphics oer insights, which are dicult to obtain with traditional statis- tical tools. This paper shows the use of interactive graphics for analysing survey data. Using Labour Force Survey data from Pakistan, we describe how plotting data in dierent ways and using interactive tools enables an- alysts to obtain information from the dataset that would normally not be possible using standard statistical methods. It is also shown that interac- tive graphics can help the analyst to improve data quality by identifying erroneous cases.
Highlights
Visualization is the process of transforming data, information, and knowledge into visual form
The use of graphics in official statistics is usually limited to the presentation of results
This paper has focused exclusively on the use of graphics as a tool for the initial analysis of data
Summary
Visualization is the process of transforming data, information, and knowledge into visual form. Waqas Ahmed Malik and Antony Unwin the different ways that uncertainty in data can be effectively communicated using graphical methods These uses of visualization are important and deserve consideration by all researchers; this paper will focus on the use of data visualization techniques to explore the characteristics of data rather than on their use for presenting results. Interactive graphics are very useful for analysing data and can provide new insights that would not have been possible using standard visualization and statistical methods. Their applications include using interactive visualization techniques to identify data errors, to find hidden patterns in the data, and to investigate complex relationships among variables. The iplots package within R (R Development Core Team, 2009) can be used for interactive graphics
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