scholarly journals WIZUALIZACJA JAKO NARZĘDZIE WSPOMAGAJĄCE ANALIZĘ DANYCH W PROCESIE DYDAKTYCZNYM

2021 ◽  
Vol 21 (4) ◽  
pp. 224-234
Author(s):  
Monika Zielińska-Sitkiewicz ◽  
Mariola Chrzanowska
Keyword(s):  
Teaching Experience ◽  
Graphical Form ◽  
Data Visualisation ◽  
Data Presentation ◽  
Graphical Data ◽  
Great Support ◽  
Incorrect Data

Presentation of information in a graphical form is one of the basic forms of data presentation. It is a great support during both the preliminary and further analysis. However, an incorrect graphical form can lead to misinterpretation and, in consequence, to erroneous conclusions. This paper presents some examples of graphical data visualisation that come from authors’ teaching experience. The article includes cases of both correct and incorrect data presentation.

MIGRATION PROCESSES TO RURAL AREAS IN POLISH METROPOLISES

2021 ◽  
Vol XXIII (3) ◽  
pp. 20-31
Author(s):  
Jakub Hadynski ◽  
Natalia Genstwa ◽  
Karolina Józefowicz
Keyword(s):  
Rural Areas ◽  
Statistical Data ◽  
Research Problem ◽  
Descriptive Statistics ◽  
Data Presentation ◽  
Graphical Data ◽  
Source Data ◽  
Presentation Methods ◽  
Administrative Units ◽  
Source Materials

The research problem addressed in this paper includes the progress of suburbanization in selected Polish metropolises. The following core question was formulated: when did today’s suburbanization processes start, and what are the migration trends and targets of the population living at the dividing line between urban and suburban limits in Polish metropolises. Defined as such, the study field enabled formulating the objective of this research, which is to present the formation of new suburbanization processes in the largest metropolises in Poland. Considering the research problem and the defined objective, the authors analyzed the differences in demographic changes across the territory, and put these findings in the context of suburbanization and its stages. This allowed to determine the dynamics and targets of migration in the metropolises surveyed. Also, the changes were compared between the units covered, providing a basis for further considerations on suburbanization and for concluding whether these processes are cyclical in nature. The analyses relied on descriptive statistics methods and on graphical data presentation methods. The selected metropolises were delimited using QGIS Desktop 2.4.0 and adequate geometry (centroid) and geoprocessing (buffer) tools. This paper relies on source data in the form of shapefile vector layers presenting the boundaries of the administrative units considered (http://www.gugik.gov.pl/pzgik). Source materials included public statistical data and program documents developed at regional and sub-regional level. The study period is 1995-2018. In geographic terms, the study focuses on the selected metropolises of Poznań, Warsaw, Łódź, Wrocław, Krakow, Gdansk and Szczecin.

scholarly journals Cost Data Visualisation

2021 ◽  
Author(s):  
Andrew Wood ◽  
Leigh Kirkwood ◽  
Zijin Feng ◽  
Sultan Alhaydhal ◽  
Abdullah Alomran ◽  
...  
Keyword(s):  
Good Practice ◽  
Decision Makers ◽  
Cost Data ◽  
Data Visualisation ◽  
Structured Interviews ◽  
Business Decisions ◽  
Data Presentation ◽  
Cost Engineering ◽  
Research Gap ◽  
The Cost

Decision making using the methodologies and analysis generated by the cost engineering function is widely considered good practice across industry, as a way to support both technical engineering decisions and fundamental business decisions. One persistent challenge for the professional cost engineer is to present cost data and information to decision makers and a mix of audiences. Data visualisation is therefore an important element to ensure that data is presented in a clear, effective and convenient format to ensure sufficient insights can be gathered. This work explores different data presentation and visualisation approaches. This review highlighted this topic as a research gap that this paper is novel in addressing. The review findings are further explored through a series of semi-structured interviews with experts in relevant fields to establish effective data visualisation methods, along with the challenges associated with presenting cost data to a variety of audiences. Chart embellishments are one explored area of potential to increase the engagement and understanding of visualisations.

scholarly journals Enviromental data visualisation using Delaunay triangulation

2020 ◽  
Vol 17 ◽  
pp. 405-411
Author(s):  
Mateusz Nowosad
Keyword(s):  
Comparative Analysis ◽  
Delaunay Triangulation ◽  
Data Representation ◽  
Environmental Data ◽  
Data Visualisation ◽  
Graphical Data

Graphical data representation is very helpful when analyzing environmental data. It allows for discovering trends in data and analysis of phenomena occurring in the area. There are many possibilities to represent such values graphically. This article contains visualizations generated using Delauney triangulation to represent data on a map. Strengths and weaknesses, comparative analysis with another solution, performance, and usage suggestions will be presented.

scholarly journals Graphical Data Presentation, with Emphasis on Genetic Data

HortScience ◽  
2007 ◽  
Vol 42 (5) ◽  
pp. 1047-1051
Author(s):  
Brian S. Yandell
Keyword(s):  
Genetic Data ◽  
Data Presentation ◽  
Graphical Data

scholarly journals Plant data visualisation using network graphs

PeerJ ◽  
2018 ◽  
Vol 6 ◽  
pp. e5579
Author(s):  
Afrina Adlyna Mohamad-Matrol ◽  
Siow-Wee Chang ◽  
Arpah Abu
Keyword(s):  
Morphological Characteristics ◽  
Graph Model ◽  
Graphical Form ◽  
Computer Assisted ◽  
Data Visualisation ◽  
Model Data ◽  
Network Graph ◽  
Novice Users ◽  
Plant Data ◽  
Meaningful Relationships

BackgroundThe amount of plant data such as taxonomical classification, morphological characteristics, ecological attributes and geological distribution in textual and image forms has increased rapidly due to emerging research and technologies. Therefore, it is crucial for experts as well as the public to discern meaningful relationships from this vast amount of data using appropriate methods. The data are often presented in lengthy texts and tables, which make gaining new insights difficult. The study proposes a visual-based representation to display data to users in a meaningful way. This method emphasises the relationships between different data sets.MethodThis study involves four main steps which translate text-based results from Extensible Markup Language (XML) serialisation format into graphs. The four steps include: (1) conversion of ontological dataset as graph model data; (2) query from graph model data; (3) transformation of text-based results in XML serialisation format into a graphical form; and (4) display of results to the user via a graphical user interface (GUI). Ontological data for plants and samples of trees and shrubs were used as the dataset to demonstrate how plant-based data could be integrated into the proposed data visualisation.ResultsA visualisation system named plant visualisation system was developed. This system provides a GUI that enables users to perform the query process, as well as a graphical viewer to display the results of the query in the form of a network graph. The efficiency of the developed visualisation system was measured by performing two types of user evaluations: a usability heuristics evaluation, and a query and visualisation evaluation.DiscussionThe relationships between the data were visualised, enabling the users to easily infer the knowledge and correlations between data. The results from the user evaluation show that the proposed visualisation system is suitable for both expert and novice users, with or without computer skills. This technique demonstrates the practicability of using a computer assisted-tool by providing cognitive analysis for understanding relationships between data. Therefore, the results benefit not only botanists, but also novice users, especially those that are interested to know more about plants.

scholarly journals Analisis Konten HOTS dalam Buku Siswa Kelas V Tema 6 “Panas dan Perpindahannya” Kurikulum 2013

MADRASAH ◽  
2020 ◽  
Vol 12 (1) ◽  
pp. 1-13
Author(s):  
Arif Widodo ◽  
Dyah Indraswati ◽  
Radiusman Radiusman ◽  
Umar Umar ◽  
Nursaptini Nursaptini
Keyword(s):  
Content Analysis ◽  
Data Collection ◽  
Integrated Curriculum ◽  
Graphical Form ◽  
Cognitive Level ◽  
Class V ◽  
Data Presentation ◽  
Data Source ◽  
Displacement Based ◽  
High Level

The purpose of this study is to analyze the content or problems presented in a student's book in accordance with the criteria as teaching materials with high-level skills in elementary school. The study uses content analysis methods with stages of data reduction, data presentation and conclusion drawing. Data collection is done by rubrics then presented in graphical form. The data source in this study is the 2013 thematic integrated curriculum book for elementary / MI class V theme 6 "Heat and Displacement". Based on the results of this study it can be seen that in the student book there is a LOTS load of 36%, HOTS content gets a percentage of 64%. The percentage of each cognitive level (C-4) is 35%, Evaluation (C-5) is 33% and Creation (C-6) is 32%. The results of the analysis of these data indicate that in the book students have presented content that contains HOTS and is feasible to be implemented in learning.

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