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  1. The #RStats version of rickrolling is hiding the #DatasaurusDozen in a sample dataset.

  2. The #RStats version of rickrolling is hiding the #DatasaurusDozen in a sample dataset.

  3. The #RStats version of rickrolling is hiding the #DatasaurusDozen in a sample dataset.

  4. The #RStats version of rickrolling is hiding the #DatasaurusDozen in a sample dataset.

  5. The #RStats version of rickrolling is hiding the #DatasaurusDozen in a sample dataset.

  6. The importance of visualizing data. Part 2.

    The Datasaurus Dozen contains 12 datasets that are equal in standard measures: mean, standard deviation, and Pearson's correlation.

    Matejka, J., & Fitzmaurice, G. (2017). Same Stats, Different Graphs: Generating Datasets with Varied Appearance and Identical Statistics through Simulated Annealing.

    The example is available in @LabPlot via File > Open Example.

  7. The importance of visualizing data. Part 2.

    The Datasaurus Dozen contains 12 datasets that are equal in standard measures: mean, standard deviation, and Pearson's correlation.

    Matejka, J., & Fitzmaurice, G. (2017). Same Stats, Different Graphs: Generating Datasets with Varied Appearance and Identical Statistics through Simulated Annealing.

    The example is available in @LabPlot via File > Open Example.

    #LabPlot #OpenSource #DataViz #Visualization #Statistics #DataAnalysis #DatasaurusDozen

  8. The importance of visualizing data. Part 2.

    The Datasaurus Dozen contains 12 datasets that are equal in standard measures: mean, standard deviation, and Pearson's correlation.

    Matejka, J., & Fitzmaurice, G. (2017). Same Stats, Different Graphs: Generating Datasets with Varied Appearance and Identical Statistics through Simulated Annealing.

    The example is available in @LabPlot via File > Open Example.

    #LabPlot #OpenSource #DataViz #Visualization #Statistics #DataAnalysis #DatasaurusDozen

  9. The importance of visualizing data. Part 2.

    The Datasaurus Dozen contains 12 datasets that are equal in standard measures: mean, standard deviation, and Pearson's correlation.

    Matejka, J., & Fitzmaurice, G. (2017). Same Stats, Different Graphs: Generating Datasets with Varied Appearance and Identical Statistics through Simulated Annealing.

    The example is available in @LabPlot via File > Open Example.

    #LabPlot #OpenSource #DataViz #Visualization #Statistics #DataAnalysis #DatasaurusDozen

  10. The importance of visualizing data. Part 2.

    The Datasaurus Dozen contains 12 datasets that are equal in standard measures: mean, standard deviation, and Pearson's correlation.

    Matejka, J., & Fitzmaurice, G. (2017). Same Stats, Different Graphs: Generating Datasets with Varied Appearance and Identical Statistics through Simulated Annealing.

    The example is available in @LabPlot via File > Open Example.

    #LabPlot #OpenSource #DataViz #Visualization #Statistics #DataAnalysis #DatasaurusDozen