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https://www.um.edu.mt/library/oar/handle/123456789/123965
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DC Field | Value | Language |
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dc.date.accessioned | 2024-06-25T08:36:43Z | - |
dc.date.available | 2024-06-25T08:36:43Z | - |
dc.date.issued | 2022-03 | - |
dc.identifier.citation | Ventura, I. (2022). The many dimensions of data. THINK Magazine, 37, 4-5. | en_GB |
dc.identifier.uri | https://www.um.edu.mt/library/oar/handle/123456789/123965 | - |
dc.description.abstract | Do you feel safe walking around after dark? Does the size of the city affect how you feel? How do these feelings compare between men and women? For data analysts, these questions come with unwieldy amounts of data. Luckily, Dr Gianmarco Alberti from the Department of Criminology (Faculty of Social Wellbeing, University of Malta) has authored a free software that visually portrays data patterns in a practical way. So how does the software work? Going back to our safety in the dark example, the data is plugged into the software. The programme then explores how the feeling of safety relates to the size of the city. In this example, we’ll split the variable ‘feeling safe after dark’ by gender and see if it’s influenced by the number of people living in the city (‘town size’, represented at the top of the first image). The table below is small yet highly complex (see figure 1), finding any obvious pattern of association between categories is hardly an easy task. [excerpt] | en_GB |
dc.language.iso | en | en_GB |
dc.publisher | University of Malta | en_GB |
dc.rights | info:eu-repo/semantics/openAccess | en_GB |
dc.subject | Quantitative research -- Data processing | en_GB |
dc.subject | Information visualization | en_GB |
dc.subject | Statistics -- Data processing | en_GB |
dc.title | The many dimensions of data | en_GB |
dc.type | contributionToPeriodical | en_GB |
dc.rights.holder | The copyright of this work belongs to the author(s)/publisher. The rights of this work are as defined by the appropriate Copyright Legislation or as modified by any successive legislation. Users may access this work and can make use of the information contained in accordance with the Copyright Legislation provided that the author must be properly acknowledged. Further distribution or reproduction in any format is prohibited without the prior permission of the copyright holder. | en_GB |
dc.description.reviewed | N/A | en_GB |
dc.publication.title | THINK Magazine | en_GB |
dc.contributor.creator | Ventura, Inês | - |
Appears in Collections: | Think Magazine, Issue 37 |
Files in This Item:
File | Description | Size | Format | |
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THINK37-Data.pdf | 288.96 kB | Adobe PDF | View/Open |
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