> For the complete documentation index, see [llms.txt](https://www.parapathology.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://www.parapathology.com/bibliometrics/data-and-tools-for-bibliographic-analysis/data-and-tools.md).

# Data and Tools

* Open Citations

[http://opencitations.net/](http://opencitations.net)

[https://opencitations.wordpress.com/](https://opencitations.wordpress.com)

* Initiative for Open Citations

[https://i4oc.org/](https://i4oc.org)

* CrossRef

<https://www.crossref.org/community/researchers/>

<https://github.com/CrossRef/rest-api-doc>

Bluesky Statistics

[http://www.blueskystatistics.com/](http://www.blueskystatistics.com)

* Knime

[https://www.knime.com/](https://www.knime.com)

* **R commander**

[http://www.rcommander.com/](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/](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/](http://vassarstats.net)
* Cutoff Finder <http://molpath.charite.de/cutoff/index.jsp>
* Plotly

[https://plot.ly/](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/](http://datavizproject.com)

* Open Source Epidemiologic Statistics for Public Health

[http://www.openepi.com/](http://www.openepi.com)

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

[http://openrefine.org/](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/](https://www.trifacta.com)

* UW Interactive Data Lab

[http://idl.cs.washington.edu/](http://idl.cs.washington.edu)

[https://vega.github.io/](https://vega.github.io)

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

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

* Bluesky Statistics

[http://www.blueskystatistics.com/](http://www.blueskystatistics.com)

* Knime

[https://www.knime.com/](https://www.knime.com)

* **R commander**

[http://www.rcommander.com/](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/](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/](http://vassarstats.net)
* Cutoff Finder <http://molpath.charite.de/cutoff/index.jsp>
* Plotly

[https://plot.ly/](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/](http://datavizproject.com)

* Open Source Epidemiologic Statistics for Public Health

[http://www.openepi.com/](http://www.openepi.com)

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

[http://openrefine.org/](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/](https://www.trifacta.com)

* UW Interactive Data Lab

[http://idl.cs.washington.edu/](http://idl.cs.washington.edu)

[https://vega.github.io/](https://vega.github.io)

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

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

* 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/](https://www.r-graph-gallery.com)

* rollApp

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

* Bluesky Statistics

[http://www.blueskystatistics.com/](http://www.blueskystatistics.com)

* Knime

[https://www.knime.com/](https://www.knime.com)

* **R commander**

[http://www.rcommander.com/](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/](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/](http://vassarstats.net)
* Cutoff Finder <http://molpath.charite.de/cutoff/index.jsp>
* Plotly

[https://plot.ly/](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/](http://datavizproject.com)

* Open Source Epidemiologic Statistics for Public Health

[http://www.openepi.com/](http://www.openepi.com)

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

[http://openrefine.org/](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/](https://www.trifacta.com)

* UW Interactive Data Lab

[http://idl.cs.washington.edu/](http://idl.cs.washington.edu)

[https://vega.github.io/](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/](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/>

* 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/](https://www.r-graph-gallery.com)

* rollApp

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

* Bluesky Statistics

[http://www.blueskystatistics.com/](http://www.blueskystatistics.com)

* Knime

[https://www.knime.com/](https://www.knime.com)

* **R commander**

[http://www.rcommander.com/](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/](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/](http://vassarstats.net)
* Cutoff Finder <http://molpath.charite.de/cutoff/index.jsp>
* Plotly

[https://plot.ly/](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/](http://datavizproject.com)

* Open Source Epidemiologic Statistics for Public Health

[http://www.openepi.com/](http://www.openepi.com)

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

[http://openrefine.org/](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/](https://www.trifacta.com)

* UW Interactive Data Lab

[http://idl.cs.washington.edu/](http://idl.cs.washington.edu)

[https://vega.github.io/](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/](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/>