Francesca Capochiani has completed
Data Science Visualization - Module 2
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Course Description
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Data Types
FreeIn this course we introduce you to the basics of various data types.
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Quantiles, Percentiles, and Boxplots
FreeQuantile-Quantile Plots, Percentiles, Boxplots, Distribution of Female Heights
Exercise 1. Vector lengths100 xpExercise 2. Percentiles100 xpExercise 3. Interpreting Boxplots - 150 xpExercise 4. Interpreting Boxplots - 250 xpExercise 5. Interpreting Boxplots - 350 xpExercise 6. Low quantiles50 xpExercise 7. Interquantile Range (IQR)50 xpEnd of Assessment: Quantiles, Percentiles, and Boxplots50 xp - 3
Distributions
FreeAn overview of distributions and their characteristics
Exercise 1. Distributions - 150 xpExercise 2. Distributions - 250 xpExercise 3. Empirical Cumulative Distribution Function (eCDF)50 xpExercise 4. eCDF Male Heights50 xpExercise 5. eCDF of Murder Rates50 xpExercise 6. eCDF of Murder Rates - 250 xpExercise 7. Histograms50 xpExercise 8. Histograms - 250 xpExercise 9. Density plots50 xpExercise 10. Density plots - 250 xpEnd of Assessment: Distributions50 xp - 4
Normal Distributions
FreeIn this chapter we go over the normal distribution.
Exercise 1. Proportions100 xpExercise 2. Averages and Standard Deviations100 xpExercise 3. Approximations100 xpExercise 4. Seven footers and the NBA100 xpExercise 5. Estimating the number seven footers100 xpExercise 6. How many seven footers are in the NBA?100 xpExercise 7. Lebron James' height100 xpExercise 8. Interpretation50 xpEnd of Assessment: Normal Distribution50 xp - 5
Robust Summaries with Outliers
Freedplyr, The Dot Placeholder, Group By, Sorting Data Tables
Exercise 1. Exploring the Galton Dataset - Average and Median100 xpExercise 2. Exploring the Galton Dataset - SD and MAD100 xpExercise 3. Error impact on average100 xpExercise 4. Error impact on SD100 xpExercise 5. Error impact on median100 xpExercise 6. Error impact on MAD100 xpExercise 7. Usefulness of EDA50 xpExercise 8. Using EDA to explore changes100 xpEnd of Assessment: Robust Summaries with Outliers50 xp - 6
Introduction to ggplot2
FreeYou'll learn how to make use of the powerful R package, ggplot2, for visualization
Exercise 1. ggplot2 basics100 xpExercise 2. Printing50 xpExercise 3. Pipes100 xpExercise 4. Layers50 xpExercise 5. geom_point 1100 xpExercise 6. geom_point 2100 xpExercise 7. geom_point text50 xpExercise 8. geom_point text100 xpExercise 9. geom_point colors50 xpExercise 10. geom_point colors 2100 xpExercise 11. geom_labels by region50 xpExercise 12. geom_label colors100 xpExercise 13. Log-scale100 xpExercise 14. Titles100 xpExercise 15. Histograms50 xpExercise 16. A second example100 xpExercise 17. Histograms 2100 xpExercise 18. Histogram binwidth100 xpExercise 19. Smooth density plot100 xpExercise 20. Two smooth density plots100 xpExercise 21. Two smooth density plots 2100 xpExercise 22. Two smooth density plots 3100 xpEnd of Assessment: Introduction to ggplot250 xp - 7
Summarizing with dplyr
FreeWe will practice our dplyr skills by will be working with data from the survey collected by the United States National Center for Health Statistics (NCHS)
Practice Exercise. National Center for Health Statistics50 xpExercise 1. Blood pressure 1100 xpExercise 2. Blood pressure 2100 xpExercise 3. Summarizing averages100 xpExercise 4. Min and max100 xpExercise 5. group_by100 xpExercise 6. group_by example 2100 xpExercise 7. group_by example 3100 xpExercise 8. Arrange100 xpEnd of Assessment: Summarizing with dplyr50 xp - 8
Exploring the gapminder dataset
FreeVisualizing gapminder results with dplyr and ggplot
Exercise 1. Life expectancy vs fertility - part 1100 xpExercise 2. Life expectancy vs fertility - part 2 - coloring your plot100 xpExercise 3. Life expectancy vs fertility - part 3 - selecting country and region100 xpExercise 4. Life expectancy and the Vietnam War - part 1100 xpExercise 5. Life expectancy and the Vietnam War - part 2100 xpExercise 6. Life expectancy in Cambodia100 xpExercise 7. Dollars per day - part 1100 xpExercise 8. Dollars per day - part 2100 xpExercise 9. Dollars per day - part 3 - multiple density plots100 xpExercise 10. Dollars per day - part 4 - stacked density plot100 xpExercise 11. Infant mortality scatter plot - part 1100 xpExercise 12. Infant mortality scatter plot - part 2 - logarithmic axis100 xpExercise 13. Infant mortality scatter plot - part 3 - adding labels100 xpExercise 14. Infant mortality scatter plot - part 4 - comparison of scatter plots100 xpEnd of Assessment: Exploring the gapminder dataset50 xp - 9
Data Visualization Principles - Part 1
FreeShow the Data, Ease Comparisons - Use Common Axes, Consider Transformations, Ease Comparisons - Compared Visual Cues Should Be Adjacent
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Data Visualization Principles - Part 2
FreePart 2 of data visualization principles exercises
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Data Visualization Principles - Part 3
FreePart 3 of data visualization principles exercises
Exercise 1: Tile plot - measles and smallpox100 xpExercise 2. Time series plot - measles and smallpox100 xpExercise 3: Time series plot - all diseases in California100 xpExercise 4: Time series plot - all diseases in the United States100 xpEnd of Assessment: Data Visualization Principles, Part 350 xp
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