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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

D3.js is a powerful JavaScript library designed for the dynamic manipulation of documents through data. By leveraging HTML, SVG, and CSS, D3 enables the transformation of data into engaging visual representations. Its focus on web standards allows developers to utilize the advanced features of modern web browsers without being restricted by a proprietary framework, merging robust visualization tools with a data-centric approach to DOM manipulation. With D3, users can associate any type of data with a Document Object Model (DOM) and perform data-driven alterations to that document. For instance, D3 can create an HTML table from a list of numbers or transform the same data into an interactive SVG bar chart that features smooth transitions and user engagement. Rather than being an all-encompassing framework that attempts to include every possible feature, D3 addresses the core challenge of effectively manipulating documents based on data. This strategy not only circumvents proprietary limitations but also provides remarkable flexibility, unlocking the full potential of web standards like HTML, SVG, and CSS. As a result, D3 becomes a versatile tool for developers seeking to create rich, interactive data visualizations that can adapt to a variety of use cases.

Description

Utilize a robust suite of SAS technologies to access, manipulate, analyze, and present information through visual formats. By leveraging SAS Visual Machine Learning, organizations can enhance their analytical capabilities with integrated machine learning and deep learning features, which facilitate improved visualization and reporting practices. This approach allows users to visualize and uncover pertinent relationships within their data. Additionally, the platform supports the creation and sharing of interactive reports and dashboards, alongside enabling self-service analytics to swiftly evaluate potential outcomes, fostering smarter, data-driven decisions. Users can delve into their data and construct or modify predictive analytical models while operating within the SAS® Viya® environment. Collaborative efforts among data scientists, statisticians, and analysts enable iterative model refinement tailored to specific segments or groups, ensuring decisions are informed by precise insights. Moreover, this comprehensive visual interface simplifies the resolution of intricate analytical challenges, efficiently managing every aspect of the analytics lifecycle while promoting a more collaborative environment for all stakeholders involved.

API Access

Has API No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Microsoft 365 No 
Microsoft Excel No 
Microsoft Outlook No 
Microsoft PowerPoint No 
Microsoft Word No 
SAS Visual Statistics No 
SAS Viya No 

Integrations

Microsoft 365 Yes 
Microsoft Excel Yes 
Microsoft Outlook Yes 
Microsoft PowerPoint Yes 
Microsoft Word Yes 
SAS Visual Statistics Yes 
SAS Viya Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version Yes 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

Deployment

Web-Based No 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Customer Support

Business Hours Yes 
Live Rep (24/7) No 
Online Support Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Mike Bostock

Country

United States

Website

d3js.org

Vendor Details

Company Name

SAS

Country

United States

Website

support.sas.com/en/software/visual-machine-learning.html

Product Features

Data Visualization

Analytics No 
Content Management No 
Dashboard Creation No 
Filtered Views No 
OLAP No 
Relational Display No 
Simulation Models No 
Visual Discovery Yes 

Product Features

Data Visualization

Analytics No 
Content Management No 
Dashboard Creation No 
Filtered Views No 
OLAP No 
Relational Display No 
Simulation Models No 
Visual Discovery No 

Machine Learning

Deep Learning No 
ML Algorithm Library No 
Model Training No 
Natural Language Processing (NLP) No 
Predictive Modeling No 
Statistical / Mathematical Tools No 
Templates No 
Visualization No 

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