Average Ratings 4 Ratings
Average Ratings 0 Ratings
Description
Google's charting tools are both robust and user-friendly, offering a range of features at no cost. Explore our extensive collection of engaging interactive charts and data visualization tools. Select from a diverse array of chart types, including straightforward scatter plots and complex hierarchical treemaps, to find the perfect representation for your data. Personalize your charts with a wide array of configuration options to ensure they align seamlessly with your website's aesthetics. Enjoy cross-browser functionality, including support for older versions of Internet Explorer through VML, and compatibility with current iOS and Android platforms, all without the need for additional plugins. Effortlessly connect to your data in real-time through various data connection methods and protocols. Utilize the same chart tools that Google employs, completely free, with a promise of three years of backward compatibility. Additionally, integrate charts and controls to create a fully interactive dashboard that enhances user experience. These tools not only facilitate data visualization but also empower users to present their information in engaging and meaningful ways.
Description
Utilize open-source machine learning tools and data visualization techniques to create dynamic data analysis workflows in a visual format, supported by a broad and varied collection of resources. Conduct straightforward data assessments accompanied by insightful visual representations, and investigate statistical distributions through box plots and scatter plots; for more complex inquiries, utilize decision trees, hierarchical clustering, heatmaps, multidimensional scaling, and linear projections. Even intricate multidimensional datasets can be effectively represented in 2D, particularly through smart attribute selection and ranking methods. Engage in interactive data exploration for swift qualitative analysis, enhanced by clear visual displays. The user-friendly graphic interface enables a focus on exploratory data analysis rather than programming, while intelligent defaults facilitate quick prototyping of data workflows. Simply position widgets on your canvas, link them together, import your datasets, and extract valuable insights! When it comes to teaching data mining concepts, we prefer to demonstrate rather than merely describe, and Orange excels in making this approach effective and engaging. The platform not only simplifies the process but also enriches the learning experience for users at all levels.
API Access
Has API
No
API Access
Has API
No
Integrations
Arreya
No
Embeddable
No
Oorian
No
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
Yes
iPad App
Yes
Android App
Yes
Windows
No
Mac
No
Linux
No
Chromebook
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
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
No
Webinars
No
Live Training (Online)
Yes
In Person
Yes
Vendor Details
Company Name
Website
www.google.com
Vendor Details
Company Name
University of Ljubljana
Country
Slovenia
Website
orange.biolab.si
Product Features
Data Visualization
Analytics
No
Content Management
Yes
Dashboard Creation
Yes
Filtered Views
No
OLAP
No
Relational Display
No
Simulation Models
No
Visual Discovery
Yes
Product Features
Data Mining
Data Extraction
No
Data Visualization
No
Fraud Detection
No
Linked Data Management
No
Machine Learning
No
Predictive Modeling
No
Semantic Search
No
Statistical Analysis
No
Text Mining
No
Data Visualization
Analytics
No
Content Management
No
Dashboard Creation
Yes
Filtered Views
No
OLAP
No
Relational Display
No
Simulation Models
No
Visual Discovery
Yes
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