有哪些值得推荐的数据可视化工具?
作者:文兄
链接:https://www.zhihu.com/question/19929609/answer/133825589
来源:知乎
著作权归作者所有。商业转载请联系作者获得授权,非商业转载请注明出处。
链接:https://www.zhihu.com/question/19929609/answer/133825589
来源:知乎
著作权归作者所有。商业转载请联系作者获得授权,非商业转载请注明出处。
1.plotly
2.R ggplot2
3.无需编程语言的工具(7个)
4.基于JavaScript实现的工具(8个)
5.基于其他语言的工具(5个)
6.地图数据可视化工具(7个)
7.金融(股票)数据可视化工具(2个)
8.时间轴数据可视化工具(2个)
9.函数与公式数据可视化工具(2个)
10.其他(3个)
共计37个工具,PS:先赞后收藏。。
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1.plotly:
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更多gallery链接:plotly
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2.R ggplot2:
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3.无需编程语言的工具:
--------------------------------
01. Tableau

Create
and share data in real time with Tableau
02. Raw

Raw
is an open web app with a simple interface
03. Infogram

04. ChartBlocks


05. Visualize Free

Make
visualizations for free!
06. Visual.ly

http://Visual.ly
makes data visualisation as simple as can be
07. iCharts

iCharts
can have interactive elements, and you can pull in data from Google Docs
-----------------------------------------
4.基于JavaScript实现的工具:
-----------------------------------------
01. Chart.js

Chart.js
is perfectly suited to smaller projects
02. D3.js

You
can render some amazing diagrams with D3
03. FusionCharts

A
comprehensive JavaScript/HTML5 charting solution for your data visualization needs
04. JavaScript InfoVis Toolkit

JavaScript
InfoVis Toolkit includes a handy modular structure
05. jQuery Visualize

jQuery
Visualize Plugin is an open source charting plugin
06. ZingChart


ZingChart lets you create HTML5 Canvas charts and more
07. Flot

Create
animated visualisations with this jQuery plugin
08. Gephi


Gephi in action. Coloured regions represent clusters of data that the system is guessing are similar
--------------------------------------
5. 基于其他语言实现的工具:
--------------------------------------
#PHP
01. jpGraph
02. Processing

Processing
provides a cross-platform environment for creating images, animations, and interactions
03. NodeBox

NodeBox
is a quick, easy way for Python-savvy developers to create 2D visualisations
04. R

A
powerful free software environment for statistical computing and graphics, R is the most complex of the tools listed here
#Weka
05. Weka

A
collection of machine-learning algorithms for data-mining tasks, Weka is a powerful way to explore data
01. CartoDB

CartoDB
provides an unparalleled way to combine maps and tabular data to create visualisations
02. InstantAtlas

InstantAtlas
enables you to create highly engaging visualisations around map data
03. Polymaps

Aimed
more at specialist data visualisers, the Polymaps library creates image and vector-tiled maps using SVG
04. OpenLayers

It
isn't easy to master, but OpenLayers is arguably the most complete, robust mapping solution discussed here
05. Kartograph

Kartograph's
projections breathe new life into our standard slippy maps
06. Exhibit
Exhibit
makes data visualization a doddle
07. Modest Maps

Integrate
and develop interactive maps within your site with this cool tool
08. Leaflet

Use
OpenStreetMap data and integrate data visualisation in an HTML5/CSS3 wrapper
01. Dygraphs

Help
visitors explore dense data sets with JavaScript library Dygraphs
02. Highcharts

Highcharts
has a huge range of options available
01. Timeline

Timeline
creates beautiful interactive visualizations
02. Dipity

Dipity
has free and premium versions to suit your needs
01. WolframAlpha

Wolfram
Alpha is excellent at creating charts
02. Tangle

Tangle
creates complex interactive graphics. Pulling on any one of the knobs affects data throughout all of the linked charts. This creates a real-time feedback loop, enabling you to understand complex equations in a more intuitive way
01. Better World Flux

Making
the ugly beautiful - that's Better World Flux
02. Google Charts

Google
Charts has an excellent selection of tools available
03. Crossfilter

Crossfilter
in action: by restricting the input range on any one chart, data is affected everywhere.
2.R ggplot2
3.无需编程语言的工具(7个)
4.基于JavaScript实现的工具(8个)
5.基于其他语言的工具(5个)
6.地图数据可视化工具(7个)
7.金融(股票)数据可视化工具(2个)
8.时间轴数据可视化工具(2个)
9.函数与公式数据可视化工具(2个)
10.其他(3个)
共计37个工具,PS:先赞后收藏。。
-----------
1.plotly:
-----------
更多gallery链接:plotly
-----------------
2.R ggplot2:
-----------------
--------------------------------
3.无需编程语言的工具:
--------------------------------
01. Tableau
02. Raw
03. Infogram
Infogram enables you to create both charts and infographics online
04. ChartBlocks
ChartBlocks is another online chart builder
05. Visualize Free
06. Visual.ly
07. iCharts
-----------------------------------------
4.基于JavaScript实现的工具:
-----------------------------------------
01. Chart.js
02. D3.js
03. FusionCharts
04. JavaScript InfoVis Toolkit
05. jQuery Visualize
06. ZingChart
ZingChart lets you create HTML5 Canvas charts and more
07. Flot
08. Gephi
Gephi in action. Coloured regions represent clusters of data that the system is guessing are similar
--------------------------------------
5. 基于其他语言实现的工具:
--------------------------------------
#PHP
01. jpGraph
01234567 (二维码自动识别)
jpGraph is a PHP-based data visualization tool#JAVA
02. Processing
#Python
03. NodeBox
#R
04. R
#Weka
05. Weka
-----------------------------------
6. 地图数据可视化的工具:
-----------------------------------
01. CartoDB
02. InstantAtlas
03. Polymaps
04. OpenLayers
05. Kartograph
06. Exhibit
07. Modest Maps
08. Leaflet
-----------------------------------
7. 金融数据可视化的工具:
-----------------------------------
01. Dygraphs
02. Highcharts
-----------------------------------
8. 时间轴数据可视化工具:
-----------------------------------01. Timeline
02. Dipity
-------------------------------------
9. 函数公式数据可视化工具
-------------------------------------
01. WolframAlpha
02. Tangle
------------
8. 其他:
------------
01. Better World Flux
02. Google Charts
03. Crossfilter