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<h1>Analysis and process</h1>
<h2>Data and packages</h2>
<p>Download the raw <a href="https://d396qusza40orc.cloudfront.net/repdata%2Fdata%2Factivity.zip">activity monitoring data</a> and place file in your working directory. </p>
<p>Load the following packages. If packages have not been installed, you will need to install them at this point using install.packages(). </p>
<pre><code class="r">library('lubridate')
library('ggplot2')
library('dplyr')
library('knitr')
library('markdown')
</code></pre>
<p>Load data with the following code. Change 'date' column to class 'date'. </p>
<pre><code class="r">data <- read.csv('activity.csv')
data$date <- as.POSIXct(data$date)
</code></pre>
<h2>Steps per day analysis</h2>
<p>Let's see what the distribution of steps per day looks like using a histogram.</p>
<pre><code class="r">plot1 <- ggplot(data, aes(x = date, y = steps)) +
geom_histogram(stat = 'identity') +
labs(title = "Steps Per Day", x = 'Date', y = 'Number of Steps') +
scale_x_datetime()
plot1
</code></pre>
<p><img 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" alt="plot of chunk plot1"/> </p>
<p>To calculate the mean and median steps per day, the data must be transformed. </p>
<pre><code class="r">tot.steps.day <- data %>%
group_by(date) %>%
summarise(tot.steps = sum(steps))
</code></pre>
<pre><code class="r">mean.steps.day <- mean(tot.steps.day$tot.steps, na.rm = TRUE)
median.steps.day <- median(tot.steps.day$tot.steps, na.rm = TRUE)
</code></pre>
<p>The <strong>mean</strong> steps per day is <strong>10766.2</strong>.</p>
<p>The <strong>median</strong> steps per day is <strong>10765</strong>.</p>
<h2>Average daily pattern analysis</h2>
<p>In order to plot the average number of steps taken taken per day, averaged across all days, the data must be transformed.</p>
<pre><code class="r">int.mean <- data %>%
group_by(interval) %>%
summarise(mean.steps = mean(steps, na.rm = TRUE))
</code></pre>
<p>Now data is ready to be plotted with ggplot.</p>
<pre><code class="r">plot2 <- ggplot(int.mean, aes(x = interval, y = mean.steps)) +
theme(legend.position = 'none') +
geom_line(aes(color = mean.steps), size = 1) +
geom_hline(aes(yintercept = mean(int.mean$mean.steps))) +
annotate('text', x = 4, y = 45, label = 'mean') +
labs(title = 'Mean Steps Per Interval')
plot2
</code></pre>
<p><img 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" alt="plot of chunk plot2"/> </p>
<pre><code class="r">max.int.steps <- filter(int.mean, mean.steps == max(mean.steps))
</code></pre>
<p>The interval with the maximum average steps per day is <strong>835</strong> with <strong>206</strong> steps.</p>
<h2>Dealing with missing values and imputation</h2>
<pre><code class="r">inc.cases <- sum(!complete.cases(data))
</code></pre>
<p>There are <strong>2304 missing values</strong> indicated as NA in the data set. To compare the possible differences in analysis between the data set with missing values and a data set that contains no missing values, we impute the missing values.</p>
<p>The code below matches the interval containing NAs and imputes the average steps taken for said interval from the entire data set.</p>
<pre><code class="r">data3 <- data
data3 <- left_join(data3, int.mean, by = 'interval')
data3$steps[which(is.na(data3$steps))] <- data3$mean.steps[is.na(data3$steps)]
</code></pre>
<p>After imputation, a new complete data set is ready to be ploted.</p>
<pre><code class="r">plot4 <- ggplot(data3, aes(x = date, y = steps)) +
geom_histogram(stat = 'identity') +
labs(title = "Steps Per Day", x = 'Date', y = 'Number of Steps') +
scale_x_datetime()
plot4
</code></pre>
<p><img 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" alt="plot of chunk plot 4"/> </p>
<p>Now, let's compared the difference of both mean and median between the incomplete data set and the new data set with imputed values.</p>
<pre><code class="r">tot.steps.day.data3 <- data3 %>%
group_by(date) %>%
summarise(tot.steps = sum(steps))
imp.mean <- mean(tot.steps.day.data3$tot.steps)
imp.median <-median(tot.steps.day.data3$tot.steps)
data.steps.sum <- sum(data$steps, na.rm = TRUE)
data3.steps.sum <- sum(data3$steps)
</code></pre>
<p>The new <strong>mean</strong> is <strong>10766.2</strong>.</p>
<p>The new <strong>median</strong> is <strong>10766.2</strong>.</p>
<p>There is not a huge difference compared to mean and median calculations of the original data set. One possible reason for this could be the imputation method used. </p>
<h2>Weekend vs weekday activity analysis</h2>
<p>To analyze the difference in activity between weekdays and weekends, the data must be transformed once again. A new factor variable will be added with two levels; 'weekend' and'weekday.'</p>
<pre><code class="r">data4 <- data3
data4$wday <- wday(data4$date)
data4$week.cat <- NA
data4$week.cat[which(data4$wday > 5)] <- 'weekend'
data4$week.cat[is.na(data4$week.cat)] <- 'weekday'
data4$week.cat <- as.factor(data4$week.cat)
int.data4 <- data4 %>%
group_by(week.cat, interval) %>%
summarise(mean.steps = mean(steps))
</code></pre>
<p>Now we can plot the differences between weekend and weekday activity.</p>
<pre><code class="r">plot5 <- ggplot(int.data4, aes(x = interval, y = mean.steps, group = week.cat)) +
geom_line() + facet_wrap(~week.cat, ncol = 1) +
labs(title = 'Weekday vs weekend: mean steps per internval', x = 'Interval', y = 'Mean steps')
plot5
</code></pre>
<p><img 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" alt="plot of chunk plot4"/> </p>
<p>This visualization shows that the weekday segment is more active in the earlier parts of the day. The weekend segment appears to be slightly more active throughout the entire day however.</p>
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