Sentence examples for data collection and visualization from inspiring English sources

Advancements in personal data collection and visualization – commonly referred to as the quantified self (QS) movement – allow individuals to self-track health and other attributes.

She co-founded Peacebuildingdata.org (a portal of peacebuilding, human rights, and justice indicators) and KoboToolbox (a suite of software for digital data collection and visualization).

His aim is to help App Inventor users realize the full potential of their app ideas through the development of new components and features to aid in collaboration, rich data collection and visualization, and efficiency.

The project has also tested the possibility to use a cluster of bridge simulators together with a system for data collection and visualization in order to explore the consequences of change in maritime settings.

Student workload: heavy reading requirements in early part of the semester coupled with regular writing assignments; independent research projects in second half of the semester that will require historical analysis, reviews of scholarly literatures and creative approaches to data collection and visualization.

The need for immediate data collection and visualization became even more clear over the weekend.

In this class, we explore key areas of data science including question formulation, data collection and cleaning, visualization, statistical inference, predictive modeling, and decision making.​ Through a strong emphasizes on data centric computing, quantitative critical thinking, and exploratory data analysis this class covers key principles and techniques of data science.

We focus on (i) the aim/purpose of each programme; (ii) its geographic scope; (iii) project duration; (iv) target groups; (v) monitoring parameters; (vi) data collection and interpretation, visualization and information dissemination technologies.

It sponsors research and curricular activities built around new technologies of mapping, data visualization, data collection, and data analysis.

It sponsors research and curricular activities built around new technologies of mapping, data visualization and data collection and data analysis.

They challenged the audience to imagine how educators and scholars might minimize inequalities in data collection, analysis and visualization.