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Data, Statistics and Data Visualization: Tools & Learning Opportunities

Statistical Softwares and Data Visualization Tools

Here's a list of commonly used statistical software and data visualization tools:

Statistical Software:

  • Excel: Microsoft Excel is a widely used spreadsheet application that also includes powerful statistical and data visualization tools
  • R Project: Open-source programming language and software environment for statistical computing and graphics.
  • Python: General-purpose programming language with extensive libraries for statistical analysis (e.g., NumPy, SciPy, Pandas).
  • SAS: Comprehensive software suite for advanced analytics, business intelligence, data management, and predictive analytics.
  • SPSS (Statistical Package for the Social Sciences): Widely used program for statistical analysis in social science.
  • Stata: Integrated statistical software package used for data management, statistical analysis, and graphics.

Data Visualization Tools:

  • ArcGIS: A comprehensive geographic information system (GIS) for working with maps and geographic data.
  • Tableau: Interactive data visualization software focused on business intelligence.
  • Power BI: Business analytics service by Microsoft, providing interactive visualizations and business intelligence capabilities.
  • Google Data Studio: Free tool for creating customizable dashboards and reports.
  • Plotly: Open-source graphing library for creating interactive plots.
  • Infogram: Online tool for creating infographics and data visualizations.
  • RAW Graphs: An open-source tool for creating customizable data visualizations from raw data.
  • Data Wrapper: An online tool for creating interactive charts and maps quickly and easily.
  • Information is beautiful: It is a project that creates visually engaging infographics and data visualizations to simplify complex information.