Data visualisation in software supporting qualitative analysis

This text results from research developed in the Postgraduate Program in Education at the Tiradentes University (Unit), in partnership with the University of Aveiro, Portugal, in 2019 and 2020. The objective sought to describe how the Visualization of Data (VD) is represented in the analysis of qualitative data with the support of Qualitative Data Analysis Software (QDAS). To achieve this objective, we reached the inclusion/exclusion criteria. Seven software frequently used today, trying to understand the most frequent representations of HV in QDAS, their structuring, and how they can contribute to the phases of organisation and analysis in a scenario that can vary from small to large amounts of data. The results show that the QDAS can help the researcher visualise the qualitative data analysed with transparency through data visualisation representations that stood out in tables, charts, maps, and representations with movements. During the analysis, it was also observed that each software offers representations in different ways. The type of user/researcher interaction with the generated representations has been an exclusive phenomenon of digital technologies, which visually improves how scientific production knowledge can better circulate knowledge production.

Four Ways to Experience Augmented Reality at Museums / Neli võimalust liitreaalsuse kogemiseks muuseumis

Augmented reality (AR) is a prevalent topic in the museum space as it promises to bridge the gap between the physical exhibition space and digitised information. The present paper introduces a framework of four distinct experience-based categories that outline which kind of AR applications are possible inside the museum: 1) object annotation, 2) object visualisation, 3) guiding, and 4) data visualisation. Liitreaalsus (LR) on muuseumides levinud, kuna see lubab ületada lõhe füüsilise näituseruumi ja digiteeritud teabe vahel. Vastav tehnoloogia on nüüdseks küpsuse saavutanud ja muutunud tootmisvahendiks mitmetes tööstusharudes. Käesolevas artiklis vaadeldakse, millised on muuseumides rakendatavad konkreetsed kasutusviisid. Muuseumides kasutatava LR-i põhjalikuks mõistmiseks on mitmeid teoreetilisi ja tehnoloogilisi lähenemisviise. Käesolev artikkel täiendab olemasolevat kirjandust, ühendades LR-i teoreetilisi kontseptsioone ja selle tegelikke rakendusi. Selleks võetakse kasutusele neli liitreaalsuse kategooriat, mis ei tulene mitte tehnilistest kirjeldustest, vaid hoopis kasutajakogemuse seadistustest muuseumides. Need kategooriad on 1) objekti annotatsioon, 2) objekti visualiseerimine, 3) vaataja suunamine (LR giid) ja 4) andmete visualiseerimine. Artiklis järgneb kategooriate lühikirjeldustele analüüs, milles vaadeldakse nende rakendamist eri riikide muuseumides. Peale nende nelja kategooria rakendamist eri riikide muuseumide parimatele rakendustele väidame, et iga kategooria sobib ideaalselt konkreetsete narratiivsete eesmärkide saavutamiseks: 1) objekti annotatsioon – pidev, 2) objekti visualiseerimine – eraldiseisev, 3) vaataja suunamine – dialoogipõhine ja 4) andmete visualiseerimine – ühendav narrativiseerimine. See parimate rakendustega seotud kategooriate kogum aitab muuseumispetsialistidel ja otsustajatel paremini mõista LR-i kasutusvõimalusi ning saavutada vahendamise ja narrativiseerimisega seotud soovitud eesmärke.

The ‘Work and Corona’ Dashboard

Open-science efforts often remain limited to the scientific community. Attempts to increase the audience, focus largely on communicating selected research results. The Work-and-Corona (WoCo) project aims to exemplify how quantitative social science projects can make their data accessible, thus connecting open science with public communication of scientific research. The Work and Corona (WoCo) project provides flexible, free and easy to use access to public opinion data in the context of the COVID-19 pandemic in Austria. To that end, we programmed a data visualisation dashboard (https://woco.univie.ac.at/dashboard/) that displays aggregated survey data from the Austrian Corona Panel Project, an academically designed public opinion survey. This paper describes the dataset used, the process of data aggregation and processing and a set of technical details on the programming of the dashboard. The paper further describes the workflow of the project enabling other researchers to provide similar forms of public data access. We provide full access to our code.

The Spatial Form of Digital Nonlinear Landscape Architecture Design Based on Computer Big Data

Condensing the multi-dimensional digital model of green urban design, and constructing a digital method system of it progressively layer by layer. Based on this research background, the dissertation designs the spatial form of landscape architecture based on the data visualisation of nonlinear technology. The article uses the colour zoning method to design the actual scene of the garden landscape with nonlinear parameteriszation. The simulation result analyses that the proposed nonlinear algorithm has realised the efficiency improvement purpose of landscape architecture design.

Implementation of a mobile spectrometer using a near infrared MEMS Fabry–Pérot interferometer sensor

Miniaturised MEMS-based Fabry-Pérot interferometer (FPI) spectral sensors allow the design of compact spectrometers in the near infrared (NIR) range. These small-size instruments can be used for quality control of alimentation products, sorting of plastics and fabrics in respect to the material composition or defining genuineness of goods. This article describes design details and achieved results in development of an inexpensive user friendly hand-held NIR spectrometer incorporating a MEMS-FPI sensor with the spectral range of 1550–1850 nm. Implemented electronic circuitry as well as the optical configuration of the device are discussed, used electronic components and the background for the choice of the light source are presented. Furthermore, the associated software for device operation and data visualisation is described. Achieved technical parameters of the device are discussed and illustrated by examples of acquired spectra. Shared experience in operating a MEMS-FPI sensor could be especially useful for designers targeting low-cost instruments for use by general public.

Identifying drug-related attributes to personalise antihypertensive agents: the outcome report of patients receiving metoprolol therapy

Background Currently, numerous antihypertensive drugs from different pharmacological classes are available; however, blood pressure control is achieved in only less than a third of patients treated for hypertension. Moreover, providing optimal and personalised treatment for hypertension is challenging. Therefore, in this study, we propose a ‘drug-related attributes’ sensitive spectrum. This novel concept can assist clinicians in selecting an optimal antihypertensive drug and improve blood pressure control after examining the attributes of a patient. Methods We collected clinical data on attributes related to hypertension and its therapy of inpatients from West China Hospital who received metoprolol therapy and constructed the sensitive spectrum using data-visualisation tools. Results Our analysis revealed that haematocrit, haemoglobin, serum creatinine, serum cystatin C, serum urea, age, sex, systolic pressure, diastolic pressure, pulse pressure, and heart rate are metoprolol-related attributes. Conclusion Our study showed that all metoprolol-related attributes identified are reasonable and helpful in improving the personalisation of metoprolol therapy. The proposed drug-related attributes spectrum can help personalise antihypertensive medication. Moreover, data-visualisation tools can be effectively used to mine the drug-related attributes sensitive spectrum.

Migration Trail: Exploring the Interplay Between Data visualisation, Cartography and Fiction

This chapter focuses on the interplay between data visualisation, fiction and cartography in the context of migration. It revolves around a case study of Migration Trail, a website that attempts to provide an original portrayal of human mobility. First, it explores recent literature on each of the three elements interacting on the site. This is followed by an in-depth investigation of their interplay in the overall experience. The study employs a multi-method approach to the content, combining multimodal analysis, that is further validated with a semi-structured expert interview. The research thoroughly maps Migration Trail’s functions, including the dynamic interplay of its different multimedia elements. Ultimately, the chapter reflects on the question: To what extent can fictional narratives and the multimedia approach in a fictional production like Migration Trail successfully challenge stereotypical portrayals of migrants? The analysis shows that there is potential to go beyond the dichotomous, typical representation of migrants, but that it can also fall into the trap of repeating the “deservingness” trope that is part of common imaginaries of migration into Europe.