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<h1>Peer Assignment 1, for Reproducible Research</h1>
<h2><em>Class 5 of the Coursera Data Science Track</em></h2>
<p>Load and pre-process the data</p>
<pre><code class="r">data <- read.csv("activity.csv", stringsAsFactors = F) # Read the data
data$date <- as.Date(data$date) # Convert the character dates to Date's
</code></pre>
<p>Generate summary stats on steps / day</p>
<pre><code class="r">dailyData <- tapply(data$steps, data$date, sum, na.rm = F) # Calculate # of steps per day; don't ignore NAs, since some days actually have 0 steps
hist(dailyData, breaks = 20, main = "", xlab = "Steps / day") # Show the distribution of steps per day
</code></pre>
<p><img 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" alt="plot of chunk unnamed-chunk-2"/> </p>
<pre><code class="r">mean(dailyData, na.rm = T) # Report the mean and median steps per day
</code></pre>
<pre><code>## [1] 10766
</code></pre>
<pre><code class="r">median(dailyData, na.rm = T)
</code></pre>
<pre><code>## [1] 10765
</code></pre>
<p>Investigate average daily activity patterns</p>
<pre><code class="r">avgIntervalData <- tapply(data$steps, data$interval, mean, na.rm = T) # Calculate avg # of steps per day, at the same interval; ignore NAs
plot(avgIntervalData, type = "l", xlab = "Interval (5 minutes)", ylab = "# of steps (avg / day)") # Plot the avg # of steps per 5 minute interval
abline(v = which.max(avgIntervalData), col = "red") # Plot a line at the max interval
</code></pre>
<p><img 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" alt="plot of chunk unnamed-chunk-3"/> </p>
<p>Impute missing values</p>
<pre><code class="r">sum(is.na(data[, 1])) # How many missing values do we have?
</code></pre>
<pre><code>## [1] 2304
</code></pre>
<pre><code class="r">imputed <- data # Create a new dataset for adding imputed data, using a given interval's average (over all days) value
imputed$steps[is.na(imputed$steps)] <- avgIntervalData
</code></pre>
<p>Generate summary stats on steps / day, for our new data</p>
<pre><code class="r">dailyImputedData <- tapply(imputed$steps, imputed$date, sum) # Calculate # of steps per day
hist(dailyImputedData, breaks = 20, main = "", xlab = "Steps / day") # Show the distribution of steps per day
</code></pre>
<p><img 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" alt="plot of chunk unnamed-chunk-5"/> </p>
<pre><code class="r">mean(dailyImputedData, na.rm = T) # Report the mean and median steps per day
</code></pre>
<pre><code>## [1] 10766
</code></pre>
<pre><code class="r">median(dailyImputedData, na.rm = T)
</code></pre>
<pre><code>## [1] 10766
</code></pre>
<p>Generate plots showing the difference between weekdays and weekends</p>
<pre><code class="r">imputed$weekday <- weekdays(imputed$date) != "Sunday" & # Create a new column with a Weekdays flag
weekdays(imputed$date) != "Saturday"
imputed$weekday <- factor(imputed$weekday, levels = c(T, F), labels = c("weekday", "weekend")) # Convert to a factor
avgWeekendData <- tapply(imputed$steps[imputed$weekday == "weekend"], imputed$interval[imputed$weekday == "weekend"], mean)
avgWeekdayData <- tapply(imputed$steps[imputed$weekday == "weekday"], imputed$interval[imputed$weekday == "weekday"], mean)
par(mfrow = c(2, 1))
plot(avgWeekendData, type = "l", main = "weekend", xlab = "Interval (5 minutes)", ylab = "# of steps (avg / day)")
plot(avgWeekdayData, type = "l", main = "weekday", xlab = "Interval (5 minutes)", ylab = "# of steps (avg / day)")
</code></pre>
<p><img src="data:image/png;base64,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" 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