2024
Ramos-Romero, Francisco; Trilles-Oliver, Sergio
FROM RAW DATA TO A DATA STORY BY USING LEGO PIECES Proceedings Article
In: ICERI2024 Proceedings, pp. 10526-10531, IATED, 2024, ISBN: 978-84-09-63010-3.
Abstract | Links | BibTeX | Tags: data visualization, storytelling
@inproceedings{Ramos2024b,
title = {FROM RAW DATA TO A DATA STORY BY USING LEGO PIECES},
author = {Francisco Ramos-Romero and Sergio Trilles-Oliver},
doi = {10.21125/iceri.2024.2717},
isbn = {978-84-09-63010-3},
year = {2024},
date = {2024-11-11},
booktitle = {ICERI2024 Proceedings},
pages = {10526-10531},
publisher = {IATED},
series = {17th annual International Conference of Education, Research and Innovation},
abstract = {The journey from raw data to a data story is a process including some stages. Data collection: You collect information to evaluate and comprehend its performance or behaviors. Data preparation: You clean, organize, and merge the data to make it ready for analysis. Data visualization: You create visual representations of the data to facilitate easier monitoring and understanding. Data analysis: You investigate the data to uncover meaningful insights for a specific audience and Data storytelling: You convey your insights through narratives and visuals to ensure they resonate and drive change. Data storytelling is the culmination of the multi-step process above commented. The quality of your data stories hinges on the effectiveness of each preceding step. If we don't tell the data story well, all the prior effort can be invalid. In this work, we are focused in the data visualization step by offering some alternatives to the typical charts and graphics solutions. In particular, we use LEGO pieces to reinforce the knowledge and to effectively use the existing data visualisation techniques.},
keywords = {data visualization, storytelling},
pubstate = {published},
tppubtype = {inproceedings}
}
The journey from raw data to a data story is a process including some stages. Data collection: You collect information to evaluate and comprehend its performance or behaviors. Data preparation: You clean, organize, and merge the data to make it ready for analysis. Data visualization: You create visual representations of the data to facilitate easier monitoring and understanding. Data analysis: You investigate the data to uncover meaningful insights for a specific audience and Data storytelling: You convey your insights through narratives and visuals to ensure they resonate and drive change. Data storytelling is the culmination of the multi-step process above commented. The quality of your data stories hinges on the effectiveness of each preceding step. If we don't tell the data story well, all the prior effort can be invalid. In this work, we are focused in the data visualization step by offering some alternatives to the typical charts and graphics solutions. In particular, we use LEGO pieces to reinforce the knowledge and to effectively use the existing data visualisation techniques.
Ramos-Romero, Francisco; Trilles-Oliver, Sergio; Granell-Canut, Carlos
ARE YOU ABLE TO TELL STORIES WITH DATA? Proceedings Article
In: EDULEARN24 Proceedings, pp. 6978-6982, IATED, 2024, ISBN: 978-84-09-62938-1.
Abstract | Links | BibTeX | Tags: data visualization, storytelling
@inproceedings{Ramos2024a,
title = {ARE YOU ABLE TO TELL STORIES WITH DATA?},
author = {Francisco Ramos-Romero and Sergio Trilles-Oliver and Carlos Granell-Canut},
doi = {https://doi.org/10.21125/edulearn.2024.1653},
isbn = {978-84-09-62938-1},
year = {2024},
date = {2024-07-03},
booktitle = {EDULEARN24 Proceedings},
pages = {6978-6982},
publisher = {IATED},
abstract = {During our first education years, at the school, even at the high school, we learnt very much about many different subjects. However, in most cases, an important ability for our professional future is missed: how to create and tell stories with data and numbers. This lack of information has produced a big problem: users have access to a large amount of information, due to the current technological advances, but they are unable efficiently use data to tell stories, which is key to convert them into relevant information.
In this paper, we present a study we performed with master students aimed at improving their data visualization skills. We divided this study into several stages. Firstly, the students learn by accomplishing different tasks following a clear path divided into these sections: analysis of the audience, selecting the appropriate visuals, simplification, focus, communication with data, storytelling, and final visuals. Every task was presented in a visual and natural way, with different options, where the students should choose the correct answers, from a clear and objective point of view. All the tasks are part of a global questionnaire, which was carried out by the students so that they prove their competence in telling effective stories with numbers and data. The results shown clear lacks in different tasks such a simplification and communication with data, where most of students didn’t correctly answer the questions. As a conclusion, we can claim that more effort must be done in setting a clear objective in the visual communication field. In particular, simplifying data, focusing on the important part of the message to the audience, and also in the way and shape that data are presented.},
keywords = {data visualization, storytelling},
pubstate = {published},
tppubtype = {inproceedings}
}
During our first education years, at the school, even at the high school, we learnt very much about many different subjects. However, in most cases, an important ability for our professional future is missed: how to create and tell stories with data and numbers. This lack of information has produced a big problem: users have access to a large amount of information, due to the current technological advances, but they are unable efficiently use data to tell stories, which is key to convert them into relevant information.
In this paper, we present a study we performed with master students aimed at improving their data visualization skills. We divided this study into several stages. Firstly, the students learn by accomplishing different tasks following a clear path divided into these sections: analysis of the audience, selecting the appropriate visuals, simplification, focus, communication with data, storytelling, and final visuals. Every task was presented in a visual and natural way, with different options, where the students should choose the correct answers, from a clear and objective point of view. All the tasks are part of a global questionnaire, which was carried out by the students so that they prove their competence in telling effective stories with numbers and data. The results shown clear lacks in different tasks such a simplification and communication with data, where most of students didn’t correctly answer the questions. As a conclusion, we can claim that more effort must be done in setting a clear objective in the visual communication field. In particular, simplifying data, focusing on the important part of the message to the audience, and also in the way and shape that data are presented.
In this paper, we present a study we performed with master students aimed at improving their data visualization skills. We divided this study into several stages. Firstly, the students learn by accomplishing different tasks following a clear path divided into these sections: analysis of the audience, selecting the appropriate visuals, simplification, focus, communication with data, storytelling, and final visuals. Every task was presented in a visual and natural way, with different options, where the students should choose the correct answers, from a clear and objective point of view. All the tasks are part of a global questionnaire, which was carried out by the students so that they prove their competence in telling effective stories with numbers and data. The results shown clear lacks in different tasks such a simplification and communication with data, where most of students didn’t correctly answer the questions. As a conclusion, we can claim that more effort must be done in setting a clear objective in the visual communication field. In particular, simplifying data, focusing on the important part of the message to the audience, and also in the way and shape that data are presented.