DSC 385 Schedule

Lectures

1. Introduction

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2. Aesthetic mappings

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3. Telling a story

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4. Visualizing amounts

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5. Coordinate systems and axes

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6. Visualizing distributions 1

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7. Visualizing distributions 2

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8. Color scales

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9. Data wrangling 1

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10. Data wrangling 2

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11. Visualizing proportions

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12. Getting to know your data 1

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13. Getting to know your data 2

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14. Getting things into the right order

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15. Figure design

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16. Color spaces, color vision deficiency

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17. Functions and functional programming

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19. Working with models

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20. Visualizing uncertainty

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21. Dimension reduction 1

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22. Dimension reduction 2

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23. Clustering

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24. Hierarchical clustering

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25. Data ethics

Guest lecture by Sinead Williamson.

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26. Visualizing geospatial data

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27. Redundant coding

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28. Interactive plots

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29. Dealing with issues of overplotting

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30. Compound figures

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Reuse

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Corrections

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