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<h6>Knitted using R Studio 0.98.1087 on OS X 10.9.5</h6>
<h6>Hosted on <a href="https://github.com/perplexedpigmy/RepData_PeerAssessment1">GitHub</a></h6>
<h6>Publish on <a href="http://rpubs.com/perplexedpigmy/53446">Rpub</a></h6>
<h2>Abstract</h2>
<p>Coursera reproducible research first peer assesment assignment repot using <strong>R markdown</strong> and processed with knitr.</p>
<p>The report assumes that the zip file already exist in local directory (As it existed in forked branch) and will not try to download it. To avoid encumbering the code with other safe guards it is also assumed that all required packages are installed.</p>
<p>The report follows closely the questions asked in the assignment, and therefore does not require more elaboration.</p>
<h2>Preparation</h2>
<h3>Required packages</h3>
<pre><code class="r">library(knitr);
library(ggplot2)
</code></pre>
<h3>Loading The Data</h3>
<p>Load Activities from local zipped data file.
The original data file is hosted in the <a href="https://github.com/perplexedpigmy/RepData_PeerAssessment1">cloudfront</a>.</p>
<pre><code class="r">unzip("activity.zip")
activity <- read.csv( "activity.csv", na.strings="NA",
colClasses=c("numeric", "character", "numeric"))
</code></pre>
<h3>Preprocessing</h3>
<pre><code class="r">activity$date <- as.Date(activity$date) # String to date
</code></pre>
<p>Post processed activity table excerpt</p>
<pre><code>## steps date interval
## 285 NA 2012-10-01 2340
## 286 NA 2012-10-01 2345
## 287 NA 2012-10-01 2350
## 288 NA 2012-10-01 2355
## 289 0 2012-10-02 0
## 290 0 2012-10-02 5
## 291 0 2012-10-02 10
## 292 0 2012-10-02 15
## 293 0 2012-10-02 20
## 294 0 2012-10-02 25
</code></pre>
<h2>Assigment tasks</h2>
<h3>What is mean total number of steps taken per day?</h3>
<h4>1. Make a histogram of the total number of steps taken each day</h4>
<pre><code class="r">steps.per.day <- aggregate(steps ~ date, activity, sum, na.action = na.omit)
ggplot(steps.per.day, aes(x = steps)) +
geom_histogram(aes(fill = ..count..), colour = "darkgreen", binwidth = 5000) +
labs(title="Steps Per day", x = "# Steps per Day", y = "Frequency(# Days)")
</code></pre>
<p><img src="data:image/png;base64,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" alt="plot of chunk total.steps.per.day.histogram"/> </p>
<h4>2. Calculate and report the mean and median total number of steps taken per day</h4>
<pre><code class="r">mean.steps <- round(mean(steps.per.day$steps, na.rm=TRUE), 2)
median.steps <- round(median(steps.per.day$steps, na.rm=TRUE), 2)
</code></pre>
<p>The total number of steps mean is <code>10766.19</code>
and the median is <code>10765</code></p>
<h3>What is the average daily activity pattern?</h3>
<h4>1. Make a time series of the 5-minute interval and the average (across all days) number of steps taken.</h4>
<pre><code class="r">avg.daily.steps.per.interval <- aggregate(activity["steps"],
by = list(interval = activity$interval), FUN=mean, na.rm=TRUE)
ggplot(avg.daily.steps.per.interval, aes(x=interval, y=steps)) +
geom_line(color="darkgreen", size=1) +
labs(title="Average daily activity pattern", x="Daily interval", y=" avg # steps")
</code></pre>
<p><img 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" alt="plot of chunk unnamed-chunk-2"/> </p>
<h4>2. Which 5-minute interval, on average across all the days in the dataset, contains the maximum number of steps?</h4>
<pre><code class="r">daily.interval.max.steps <- avg.daily.steps.per.interval[which.max(avg.daily.steps.per.interval$steps),]$interval
</code></pre>
<p>The daily average activity maxed on the 5 min interval starting at <code>08:35</code> averaging <code>206</code> steps</p>
<h3>Imputing missing values</h3>
<h4>1. Calculate and report the total number of missing values in the dataset</h4>
<pre><code class="r">missing.values <- sum(is.na(activity$steps))
num.dates.missing.value <- length(unique(activity[is.na(activity$steps),"date"]))
num.wdays.missing.value <- length(unique(weekdays(as.Date(unique(activity[is.na(activity$steps),"date"])))))
</code></pre>
<p>There are <code>2304</code> missing values
for <code>8</code> whole dates
and for <code>6</code> distinct weekdays.</p>
<h4>2. Devise a strategy for filling in all of the missing values in the dataset</h4>
<p>After checking how many measures each of the weekdays has</p>
<pre><code class="r">table(weekdays(as.Date(unique(activity$date))))
</code></pre>
<pre><code>##
## Friday Monday Saturday Sunday Thursday Tuesday Wednesday
## 9 9 8 8 9 9 9
</code></pre>
<p>And verifying how many measurements each weekday is missing.</p>
<pre><code class="r">table(weekdays(as.Date(unique(activity[is.na(activity$steps),"date"]))))
</code></pre>
<pre><code>##
## Friday Monday Saturday Sunday Thursday Wednesday
## 2 2 1 1 1 1
</code></pre>
<p>It seems fairly reasonable that we can use the activity mean for that day of week for each interval to fill the missing values. We could have used the median, but the median is likely to change our previous averaged observation, so for lack of any other obligations and in an effortto limit the impact on previous work the mean is used.</p>
<h4>3. Create a new dataset that is equal to original but without missing data.</h4>
<p>We will first create a reference data.frame with reference values as decribed in previous section. Each weekday, interval pair will be assigned the average of steps for that weekday as depicted by the entire dataset (missing values ignored)</p>
<pre><code class="r">ref <-aggregate(activity["steps"], by = list(wday = weekdays(activity$date),
interval = activity$interval),
FUN=mean, na.rm=TRUE)
</code></pre>
<p>Now having the reference values for each weekday, interval pair, we iterate each of
the rows of the activity data.frame and replace missing values from the reference
data.frame. </p>
<pre><code class="r">activity$steps <- mapply(function(steps, wday, interval) {
ifelse( is.na(steps),
ref[ref$wday == wday & ref$interval == interval, "steps"],
steps) },
activity$steps, weekdays(activity$date), activity$interval)
</code></pre>
<h4>4. Make a histogram of the total number of steps taken each day and Calculate and report the <em>mean</em> and <em>median</em> total number of steps taken per day.</h4>
<p>Executing the same code as <a href="#make-a-histogram-of-the-total-number-of-steps-taken-each-day">above</a> for data.frame with no missing values yields
the following histogram</p>
<pre><code class="r">steps.per.day <- aggregate(steps ~ date, activity, sum, na.action = na.omit)
ggplot(steps.per.day, aes(x = steps)) +
geom_histogram(aes(fill = ..count..), colour = "darkgreen", binwidth = 5000) +
labs(title="Steps Per day", x = "# Steps per Day", y = "Frequency(# Days)")
</code></pre>
<p><img 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" alt="plot of chunk total.steps.per.day.histogram.complete"/> </p>
<pre><code class="r">mean.steps <- round(mean(steps.per.day$steps, na.rm=TRUE), 2)
median.steps <- round(median(steps.per.day$steps, na.rm=TRUE), 2)
</code></pre>
<p>and <a href="#calculate-and-report-the-mean-and-median-total-number-of-steps-taken-per-day">calculating the mean and median as above</a> gives <code>10821.21</code>
and <code>11015</code> respectivly</p>
<p>As we can see the impact is minimal, The diagarm for that granularity stayed visibly the same and the mean and median has slightly altered. Replacing missing values with the median (Which some may argue is more reflective of the probable behavior), will impact the results much more drastically.</p>
<h3>Are there differences in activity patterns between weekdays and weekends?</h3>
<h4>1. Create a new factor variable in the dataset with two levels – “weekday” and “weekend” indicating whether a given date is a weekday or weekend day.</h4>
<pre><code class="r">activity$type <- factor(ifelse (weekdays(activity$date) %in% c("Saturday","Sunday"),
"Weekend", "Weekday"))
</code></pre>
<h4>2. Make a panel plot containing a time series plot of the 5-minute interval and the average number of steps taken, averaged across all weekday days or weekend days.</h4>
<pre><code class="r">steps.pattern.by.type <- aggregate(steps ~ interval + type, activity, mean, na.action = na.omit)
ggplot(steps.pattern.by.type, aes(x=interval, y=steps)) +
geom_line(color="darkgreen", size=1) + facet_wrap(~ type, nrow=2, ncol=1) +
labs(x="Interval", y="Avg. steps")
</code></pre>
<p><img 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" alt="plot of chunk line.graph.by.day.type"/> </p>
<h2>Conclusion</h2>
<p>We can see it last diagram that the weekly activity tend to be more spread, while weekday activities are peaking early morning, probably due to preparation for work day and tends to rise a bit after the work day. When activity during weekday is ebb after 20:00, during weekend activity is still high for an hour longer.</p>
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