Software tools for building interactive information visualization applications. Prefuse supports a rich set of features for data modeling, visualization, animation, and interaction for both Java (prefuse) and Flash (prefuse. ..
Data visualization tools provide this functionality in many forms – from the graphing tool inside Excel to the embedded visualizer in the Graph database, InfiniteGraph. Three open source data analysis tools with visualization capabilities are worth noting; each provides a unique take on this fascinating sector within the data management. Chart Tools for Mac is is a professional Excel solution to create advanced live charts and widgets. Chart Tools for Mac is is a professional Excel solution to create advanced live charts and widgets. 22 Free and Open Source Data Visualization Tools to Grow Your Business. Published June 7th, 2017 by Geoff Hoppe in Business Intelligence. Share This Article 0 0 0 0 0 0. Update 6/6/17: This post has been updated to include additional options, and reflect the newest information available. QueryTree is a completely web-based tool focused on building powerful data visualization with a simple drag and drop interface. It’s very easy to set up and doesn’t require any code – you simply connect to your MySQL, PostgreSQL, or Microsoft SQL database (it only needs read-only access).
Related:Using Visualization Tools - Javascript Visualization Tools - Data Visualization Freeware - Flash Data Visualization - Mysql Data Visualization
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Visualize data for deep insights in powerful data visualization software that can help you turn data into expressive and attractive visualization in a breeze. Share visuals on any platform, beautifully.
Introduction to Data Visualization
It's becoming increasingly difficult to present data in a way that stands out from the mass of competing data streams. One of the best ways to get your message across is to use visual infographics to quickly draw attention of time-crunched viewers. Displaying data visually is also possible to uncover surprising patterns and observations that wouldn't be apparent from looking at stats alone.
'Visualization is critical to data analysis. It provides a front line of attack, revealing intricate structure in data that cannot be absorbed in any other way. We discover unimagined effects, and we challenge imagined ones.' - William S. Cleveland: visualizing Data
See a real story about how visualization can make life better.
Professional Data Visualization Software to Visualize Data Effortlessly
Creating charts and infographics can be time-consuming. But the right tool makes it easier. Edraw is the optimal tool to create stunning visualizations with ease. It is a fast, flexible charting solution that allows users to explore and interpret dense data sets. It's highly customizable, working with MS programs seamlessly. The user-friendly interface is similar with Word.
System Requirements
Works on Windows 7, 8, 10, XP, Vista and Citrix
Works on 32 and 64 bit Windows
Works on Mac OS X 10.2 or later
Amazing Features of the Data Visualization Software
Many advanced features are designed to ease visualization for the sake of users. Here are some of its amazing features
Edraw's Smart Predefined Symbols
Uses don't have to start from scratch anymore thanks to Edraw's predefined symbols. Just drag and drop suitable symbols to the canvas. A visual diagram can be finished in minutes with the smart features: auto generation, connection, alignment and distribution of shapes and easy editing through floating buttons and control handles. Check out some samples below. See more at a brief introduction of Edraw's clipart and smart shapes.
1. Move the pointer over a basic flowchart shape. Its blue AutoConnect Arrows show.
2. Click the blue Arrow that points toward where you want to add another shape. These two shapes are connected automatically
Some Block-3D shapes have a smart yellow control handle, you can change the shape in one of the following ways. This also applies to other shapes with control points.
Variation of 3D Box' src='howto/block-3d/3d-box-variation.png' />
Another example is the pyramid diagram. The floating action button is often located at the upper right corner of the shape. It allows easy modifications any time, saving tons of time compared to hand drawing.
Steps to Visualize Data
1. Collect data needed. Restructure and clean the data to make it directly usable for the visualization. For example, translate Fahrenheit to Celsius or transform data format.
2. Analyze data. Analyze the data in detail so that you can create something interesting with this dataset.
3. Visualize dada. After the data is prepared, you can now visualize it with various kinds of infographics solution. We recommend you to use an automatic tool like Edraw, which can generate charts and graphs automatically by importing data at 1 click.
Python Data Visualization Tool
4. Interpret data. Use visualization to discover insights. Data often tell a story, which sometimes is obvious while sometimes hidden. Interpret the unique perspective on the dataset you can find from the visualization.
To visualize data more effectively, refer to Data Visualization Process. Click here to learn some Practical Principles on Presenting Data in Charts. Data Visualization Examples
Many chart examples and templates are provided for free download. All are high quality in editable vector format. Starting from ready-made templates to make your own visualization is the fastest and simplest way. Here are some examples created by Edraw.
Conclusion![]()
There are many methods to visualize data, new solutions and chart types come out constantly, and each strives to create more attractive and informative charts than before. It is advisable to focus on the principle that visuals should clarify and summarize the key message to be clear and concise rather than confusing and overloading the reader with superfluous information.
Data Visualization Tools Examples
For more chart templates, please visit here.
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