1. 程式人生 > >有哪些值得推薦的資料視覺化工具?

有哪些值得推薦的資料視覺化工具?

1.plotly
2.R ggplot2
3.無需程式語言的工具(7個)
4.基於JavaScript實現的工具(8個)
5.基於其他語言的工具(5個)
6.地圖資料視覺化工具(7個)
7.金融(股票)資料視覺化工具(2個)
8.時間軸資料視覺化工具(2個)
9.函式與公式資料視覺化工具(2個)
10.其他(3個)

共計37個工具,PS:先贊後收藏。。

-----------
1.plotly:
-----------


更多gallery連結:plotly


-----------------
2.R ggplot2:
-----------------









--------------------------------
3.無需程式語言的工具:
--------------------------------

01.
Tableau

Create and share data in real time with Tableau


02. Raw
Raw is an open web app with a simple interface


Infogram enables you to create both charts and infographics online



ChartBlocks is another online chart builder



Make visualizations for free!


Visual.ly makes data visualisation as simple as can be


iCharts can have interactive elements, and you can pull in data from Google Docs

-----------------------------------------
4.基於JavaScript實現的工具:
-----------------------------------------

01. Chart.js

Chart.js is perfectly suited to smaller projects

02. D3.js
You can render some amazing diagrams with D3


A comprehensive JavaScript/HTML5 charting solution for your data visualization needs


JavaScript InfoVis Toolkit includes a handy modular structure


jQuery Visualize Plugin is an open source charting plugin



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. 基於其他語言實現的工具:
--------------------------------------

#PHP

01. jpGraph

01234567 (二維碼自動識別)

jpGraph is a PHP-based data visualization tool

#JAVA



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

#Python


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

#R


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

-----------------------------------

6. 地圖資料視覺化的工具:

-----------------------------------



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


InstantAtlas enables you to create highly engaging visualisations around map data


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


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


Kartograph's projections breathe new life into our standard slippy maps

Exhibit makes data visualization a doddle

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


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

-----------------------------------

7. 金融資料視覺化的工具:

-----------------------------------



Help visitors explore dense data sets with JavaScript library Dygraphs


Highcharts has a huge range of options available

-----------------------------------

8. 時間軸資料視覺化工具:

-----------------------------------

01. Timeline

Timeline creates beautiful interactive visualizations


Dipity has free and premium versions to suit your needs

-------------------------------------

9. 函式公式資料視覺化工具

-------------------------------------



Wolfram Alpha is excellent at creating charts


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

------------

8. 其他:

------------



Making the ugly beautiful - that's Better World Flux


Google Charts has an excellent selection of tools available


Crossfilter in action: by restricting the input range on any one chart, data is affected everywhere.