# Tools for Data Analysis and Visualisation

* Sankey diagram

<https://medium.com/@Elijah_Meeks/2018-data-visualization-survey-results-26a90856476b>

![](https://cdn-images-1.medium.com/max/1600/1*oYH7MXOPL3ylWG7Ku_tAQw.png)

* THE WORK OF EDWARD TUFTE AND GRAPHICS PRESS

<https://www.edwardtufte.com/tufte/>

* R Graph Gallery

<https://www.r-graph-gallery.com/>

* rollApp

<https://www.rollapp.com/apps/statistics>

* Bluesky Statistics

<http://www.blueskystatistics.com/>

* Knime

<https://www.knime.com/>

* **R commander**

<http://www.rcommander.com/>

* Free statistics software for Macintosh computers (Macs)

  <https://www.macstats.org/statistics-software/free.html>
* ggplot2 extensions

<http://www.ggplot2-exts.org/gallery/>

* Web Pages that Perform Statistical Calculations

<http://statpages.info/>

* EpiTools epidemiological calculators

<http://epitools.ausvet.com.au/content.php?page=home>

* QuickCalcs Online Statistical Calculator

<https://www.graphpad.com/quickcalcs/>

* VassarStats: Website for Statistical Computation <http://vassarstats.net/>
* Cutoff Finder

  <http://molpath.charite.de/cutoff/index.jsp>
* Plotly

<https://plot.ly/>

<https://plot.ly/r/>

* A website trying to present all relevant data visualizations, so you can find the right visualization and get inspiration on how to do it.

<http://datavizproject.com/>

* Open Source Epidemiologic Statistics for Public Health

<http://www.openepi.com/>

* <https://www.datawrapper.de>
* <https://public.tableau.com/>
* **Open Refine, Google Refine**

<http://openrefine.org/>

* Google Refine 2.0 - Introduction (1 of 3) (video version 2)

<https://www.youtube.com/watch?v=B70J_H_zAWM>

* Google Refine 2.0 - Data Augmentation (3 of 3) (video version 2)

<https://www.youtube.com/watch?v=5tsyz3ibYzk&index=2&list=WL>

* <https://www.coursera.org/learn/datavisualization/supplement/ijZAO/resources>

**Online Data Visualization Websites**

* [DataHero](http://datahero.com/)
* [Plotly](http://plot.ly/)
* [Number Picture](http://site.numberpicture.com/)
* [Polychart](https://github.com/Polychart)
* [Juice Analytics](http://www.juiceanalytics.com/)
* [Weave](http://www.iweave.org/)
* [Datavisual](http://datavisu.al/)
* [Silk](https://www.silk.co/)
* [Zoomdata](http://www.zoomdata.com/)

  (via the cloud platforms)
* [RAW](http://app.raw.densitydesign.org/)
* [Datawrapper](https://datawrapper.de/)

**Software**

* [Tableau](http://www.tableau.com/)
* [SAP Lumira](http://www.sapstore.com/getlumira)

  (including a free Personal Edition version)
* [Microsoft Excel](https://products.office.com/excel)

  (or any other spreadsheet that includes charts)
* [ClearStory](http://www.clearstorydata.com/)
* [BeyondCore](http://beyondcore.com/)
* [Mathematica](http://www.wolfram.com/mathematica/)
* [MATLAB](http://www.mathworks.com/products/matlab/)
* [MatPlotLib](http://matplotlib.org/)

  (if you are comfortable programming Python)
* [R Programming Language](https://www.r-project.org/)
* [ggplot2](http://ggplot2.org/)

**Some Data Sources**

* [Google Public Data Explorer](http://www.google.com/publicdata/directory)
* [Data from the World Bank](http://data.worldbank.org/)

**Plotting your data**

<https://sites.google.com/site/obintlab/wiki/plotting-data>

* RevMan 5

<http://community.cochrane.org/tools/review-production-tools/revman-5>

* Trifacta

<https://www.trifacta.com/>

* UW Interactive Data Lab

<http://idl.cs.washington.edu/>

<https://vega.github.io/>

* Design better data tables The ingredients of a successful data table UI

<https://uxdesign.cc/design-better-data-tables-4ecc99d23356>

* gapminder

<https://www.gapminder.org/>

* DOLLAR STREET

<https://www.gapminder.org/dollar-street/matrix>

* Show your own data

<https://vizabi.org/tutorials/2017/04/03/show-your-data/>

* Join your data with Gapminder's data

<https://vizabi.org/tutorials/2017/04/04/join-your-data-with-g/>