What is the translation of " DATA VISUALIZATIONS " in Chinese?

['deitə ˌviʒʊəlai'zeiʃnz]
['deitə ˌviʒʊəlai'zeiʃnz]

Examples of using Data visualizations in English and their translations into Chinese

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Why data visualizations is important?
为什么视觉数据很重要?
Ways to improve your data visualizations.
种方法来改善您的数据可视化.
Advanced data visualizations support more in-depth and complex analytics.
先进的数据可视化支持更深入和复杂的分析。
D3 allows the ability to apply pre-built data visualizations to datasets.
D3允许将预先构建的数据可视化应用于数据集。
Interactive data visualizations are also an excellent way to help people interpret data..
交互式可视化数据也可以很好地帮助人们解释数据。
BIRT is an opensource technology platform used to create data visualizations and reports.
BIRT是一个开源技术平台,用于创建可视化数据和报表。
Quick and easy data visualizations in python with code.
个快速而简单的数据可视化方法和Python代码.
These composites are referenced in movies and in art and, especially, in data visualizations.
这些复合材料在电影和艺术中被引用,尤其是在数据可视化中。
Visualizing Economics: Data visualizations about the economy.
VisualizingEconomics():与经济相关的可视化数据
Surprisingly, we found that few are actually designed for complex charts and data visualizations.
惊喜的是,我们发现其中有一些确实是为复杂的图表和可视化数据而设计的。
Data visualizations can lead viewers to certain conclusions without distorting the data itself.
可视化数据可以在不歪曲数据本身的条件下,引导受众得出一定结论。
It offers visual programming and Python scripting tools for data visualizations and analysis.
它提供了可视化编程和Python脚本工具,可用于数据可视化和分析。
Today we can use data visualizations and the advanced analytics that supports them to meet these challenges head on.
今天,我们可以使用数据可视化和支持他们的高级分析来迎接这些挑战。
This course also makes use of open web standards(HTML, CSS, and SVG)to create data visualizations.
此课程还利用开放的网络标准(HTML、CSS、SVG)来创建数据可视化
Color schemes are key to great data visualizations because color, as we all know, is particularly good at breaking camouflage.
色彩计划是伟大的数据可视化的关键,因为我们都知道,颜色特别擅长打破伪装。
Plotly is an open-source tool that allows you to compose,edit and share interactive data visualizations.
Plotly是一个开源工具,允许您编写,编辑和共享交互式数据可视化
While interactive charts, data visualizations and infographics are all the rage, they forego many of the best-practices we have learned.
虽然交互图表,数据可视化和信息图正在广泛流行,它们却放弃许多我们通晓的最好实践。
Matplotlib is a popular Pythonlibrary that can be used to create data visualizations quite easily.
Matplotlib是一个流行的Python库,可以很容易地用于创建数据可视化
In other words, data visualizations turn large and small datasets into visuals that are easier for the human brain to understand and process.
换句话说,数据可视化将大型和小型数据集转换为更易于人类大脑理解和处理的视觉效果。
In his spare time, he likes to drink coffee, build computers,create financial volatility data visualizations and brew IPAs.
抛开工作,他喜欢喝咖啡,鼓捣电脑,创造金融波动数据可视化和酿啤酒。
Infographics and data visualizations are shifting the way people find and experience stories, creating a new way of seeing the world of data..
信息图表和数据可视化正在改变人们寻找和体验故事的方式,创造看到数据世界的一种新的方式。
So, of course,it should take you quite some time and thousands of data visualizations to even come close to exhausting that.
所以,当然,它应该花费你相当长的时间和成千上万的数据可视化甚至接近耗尽。
Miso is an open source toolkit designed toexpedite the creation of high-quality interactive storytelling and data visualizations.
Miso是一个开源工具包,旨在加快建立高品质的互动故事和数据可视化的内容。
BIRT is open source BIsoftware that can be used to create data visualizations and reports, which can all be embedded into web applications.
IRT是开源BI软件,可用于创建数据可视化和报告,它可以嵌入到Web应用程序中。
Data visualizations have been printed for centuries, but the recent evolution of the internet has enabled vast changes in the way we consume the material.
数据可视化已经打印了几个世纪,但互联网的最新发展已使我们消耗材料的方式发生了巨大变化。
There is a highly structured framework for thinking about andcreating all data visualizations. ggplot2 is based on that framework.
存在构建数据可视化的高度结构化框架,ggplot2基于该框架。
These offerings are usually trimmed-down versions of the expert or enterprise editions,offering basic functionality that enables users to generate reports or data visualizations.
这些产品通常是专家版或企业版的精简版,提供基本功能,使用户能够生成报告或数据可视化
These models can include maps, graphs, statistics,and cartograms- data visualizations that help making complex relationships more understandable.
这些模型包括图形、图表、统计数据和制图以及可视化数据,这些可视化数据有助于创建更易于理解的复杂关系。
Formally incorporate data from Akamai's State of the Internet report,and other existing Akamai data visualizations, under the Akamai IO umbrella.
在AkamaiIO下正式整合来自Akamai互联网现状报告的数据和其他现有Akamai可视化数据.
Generated notebooks have executable code of the entire pipeline, rich narrative text,interactive data visualizations, and differential expression and enrichment analyses.
生成的笔记本有整个管线的可执行代码、丰富的文本、交互式数据可视化以及差异表达和富集分析。
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