udacity_eda/lesson4/lesson4_student.rmd
2018-04-17 19:56:59 -08:00

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Lesson 4
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### Scatterplots and Perceived Audience Size
Notes:
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### Scatterplots
Notes:
```{r Scatterplots}
```
***
#### What are some things that you notice right away?
Response:
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### ggplot Syntax
Notes:
```{r ggplot Syntax}
```
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### Overplotting
Notes:
```{r Overplotting}
```
#### What do you notice in the plot?
Response:
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### 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?
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### Alpha and Jitter
Notes:
```{r Alpha and Jitter}
```
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### Overplotting and Domain Knowledge
Notes:
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### Conditional Means
Notes:
```{r Conditional Means}
```
Create your plot!
```{r Conditional Means Plot}
```
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### 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:
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### 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:
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### Correlation on Subsets
Notes:
```{r Correlation on Subsets}
with( , cor.test(age, friend_count))
```
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### Correlation Methods
Notes:
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## Create Scatterplots
Notes:
```{r}
```
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### 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:
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### 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:
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### Understanding Noise: Age to Age Months
Notes:
```{r Understanding Noise: Age to Age Months}
```
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### Age with Months Means
```{r Age with Months Means}
```
Programming Assignment
```{r Programming Assignment}
```
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### Noise in Conditional Means
```{r Noise in Conditional Means}
```
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### Smoothing Conditional Means
Notes:
```{r Smoothing Conditional Means}
```
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### Which Plot to Choose?
Notes:
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### Analyzing Two Variables
Reflection:
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Click **KnitHTML** to see all of your hard work and to have an html
page of this lesson, your answers, and your notes!