Lesson 4 ======================================================== *** ### Scatterplots and Perceived Audience Size Notes: *** ### Scatterplots Notes: ```{r Scatterplots} ``` *** #### What are some things that you notice right away? Response: *** ### ggplot Syntax Notes: ```{r ggplot Syntax} ``` *** ### Overplotting Notes: ```{r Overplotting} ``` #### What do you notice in the plot? Response: *** ### Coord_trans() Notes: ```{r Coord_trans()} ``` #### Look up the documentation for coord_trans() and add a layer to the plot that transforms friend_count using the square root function. Create your plot! ```{r} ``` #### What do you notice? *** ### Alpha and Jitter Notes: ```{r Alpha and Jitter} ``` *** ### Overplotting and Domain Knowledge Notes: *** ### Conditional Means Notes: ```{r Conditional Means} ``` Create your plot! ```{r Conditional Means Plot} ``` *** ### Overlaying Summaries with Raw Data Notes: ```{r Overlaying Summaries with Raw Data} ``` #### What are some of your observations of the plot? Response: *** ### Moira: Histogram Summary and Scatterplot See the Instructor Notes of this video to download Moira's paper on perceived audience size and to see the final plot. Notes: *** ### Correlation Notes: ```{r Correlation} ``` Look up the documentation for the cor.test function. What's the correlation between age and friend count? Round to three decimal places. Response: *** ### Correlation on Subsets Notes: ```{r Correlation on Subsets} with( , cor.test(age, friend_count)) ``` *** ### Correlation Methods Notes: *** ## Create Scatterplots Notes: ```{r} ``` *** ### Strong Correlations Notes: ```{r Strong Correlations} ``` What's the correlation betwen the two variables? Include the top 5% of values for the variable in the calculation and round to 3 decimal places. ```{r Correlation Calcuation} ``` Response: *** ### Moira on Correlation Notes: *** ### More Caution with Correlation Notes: ```{r More Caution With Correlation} install.packages('alr3') library(alr3) ``` Create your plot! ```{r Temp vs Month} ``` *** ### Noisy Scatterplots a. Take a guess for the correlation coefficient for the scatterplot. b. What is the actual correlation of the two variables? (Round to the thousandths place) ```{r Noisy Scatterplots} ``` *** ### Making Sense of Data Notes: ```{r Making Sense of Data} ``` *** ### A New Perspective What do you notice? Response: Watch the solution video and check out the Instructor Notes! Notes: *** ### Understanding Noise: Age to Age Months Notes: ```{r Understanding Noise: Age to Age Months} ``` *** ### Age with Months Means ```{r Age with Months Means} ``` Programming Assignment ```{r Programming Assignment} ``` *** ### Noise in Conditional Means ```{r Noise in Conditional Means} ``` *** ### Smoothing Conditional Means Notes: ```{r Smoothing Conditional Means} ``` *** ### Which Plot to Choose? Notes: *** ### Analyzing Two Variables Reflection: *** Click **KnitHTML** to see all of your hard work and to have an html page of this lesson, your answers, and your notes!