Difference between revisions of "Software Tools"
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There is a broad range of software tools available for data analysis. Some, like [[Stata]], are proprietary and specialized for applications to econometric problems in the survey-data context; others, like [[R]], are open-source and follow more general coding standards so that they are more readily adaptable to tasks that are not well-defined in the econometric framework (such as [[Spatial Analysis]]). | There is a broad range of software tools available for data analysis. Some, like [[Software Tools#Stata | Stata]], are proprietary and specialized for applications to econometric problems in the survey-data context; others, like [[Software Tools#R | R]], are open-source and follow more general coding standards so that they are more readily adaptable to tasks that are not well-defined in the econometric framework (such as [[Spatial Analysis]]). | ||
== Statistical Software == | |||
=== Stata === | |||
=== R === | |||
=== EViews === | |||
== GIS Software == | == GIS Software == | ||
=== ArcGIS === | === ArcGIS === | ||
=== QGIS=== | === QGIS=== | ||
== Data Visualization Software == | |||
=== Tableau === | |||
== Additional Resources == | == Additional Resources == | ||
Revision as of 19:21, 8 February 2018
There is a broad range of software tools available for data analysis. Some, like Stata, are proprietary and specialized for applications to econometric problems in the survey-data context; others, like R, are open-source and follow more general coding standards so that they are more readily adaptable to tasks that are not well-defined in the econometric framework (such as Spatial Analysis).