Приклади вживання Data visualizations Англійська мовою та їх переклад на Українською
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Interactive Data Visualizations.
Sofiia Beisiuk took a course Creating effective data visualizations.
Almost all data visualizations are created for human consumption.
We have been looking at artists' renditions and data visualizations of black holes for years.
Data visualizations are often used in infographics and may make up the entire infographic.
You can use Power Map to create three-dimensional data visualizations on a globe.
A lot of data visualizations will overstate certainty, and it works-- these charts can numb our brains to criticism.
You can conduct your research,develop your web and mobile applications and even design data visualizations.
Simple data visualizations include graphs and charts, infographics, and ratios that represent statistical characteristics of the data. .
Js(or just D3 for Data-Driven Documents) is a JavaScript library for producing dynamic, interactive data visualizations in web browsers.
Data visualizations can bring value to the reception of a story, and are an attractive way for the whole editorial team to present their content.
But it's a really fertile medium, and it feels like visualizations, infographics, data visualizations, they feel like flowers blooming from this medium.
Infographics and data visualizations are shifting the way people find and experience stories, creating a new way of seeing the world of data. .
Yet designers often fail to achieve a balance between form and function,creating gorgeous data visualizations which fail to serve their main purpose- to communicate information".[5].
Data visualizations showing the relationships between Wikipedia articles demonstrate pathways that readers can take to navigate from topic to topic.[4].
You can getaccess to the API which can help you create the data visualizations you need, live combinations with other data sources and many more such features.
D3. js(also known as D3, short for Data-Driven Documents) is aJavaScript library for producing dynamic, interactive data visualizations in web browsers.
People use software tools or programming to create powerful,interactive data visualizations and perform a range of mathematical operations to transform and analyze data. .
This is so critical, and is influenced by so many variables(competition, cost of inputs, marketplace demand, the performance of new ventures, and so on),that it is best presented in interactive data visualizations.
Yet designers often tend to discard the balance between designand function, creating gorgeous data visualizations which fail to serve its main purpose- communicate information.
The Interact City dashboard provides intuitive data visualizations and lighting asset management capabilities so officials can monitor, analyze, and maintain their lighting infrastructure to optimize savings and performance.
You will learn how to prepare data for analysis, perform simple statistical analyses,create meaningful data visualizations, predict future trends from data, and more!
Data visualizations- and the aesthetic associations they engender- can even become cultural touchstones, such as the representation of deep political divisions in the United States after the 2000 and 2004 elections, when“red” Republican-held states filled the heartland and“blue” Democratic states clustered in the Northeast and far West.
Yet designers often fail to achieve a balance between design and function,creating gorgeous data visualizations which fail to serve their main purpose, which is to communicate information.
Starting from raw data, data models areapplied, obtaining model estimations and flexible data visualizations, being useful and appealing to users and customers, improving the processes.
With vector graphics andraster graphics becoming ubiquitous in computing in the 21st Century, data visualizations have been applied to commonly used computer systems, including desktop publishing and Geographic Information Systems GIS.
Skills and Methods: big data, statistics and survey methods, demographic analyses,social informatics, data visualizations, foresight, online research, evaluation research, social sequence analysis, and biographies.
Interests: programming, science fiction, quantum computing, data visualization.
Why to use data visualization?
Data visualization is one of the steps in analyzing data and presenting it to users.