Bike Counts on Portland Bridges

In PSU’s Data Science class for August 2018, we were supplied a dataset of daily bicycle counts on select bridges across the Willamette River in Portland, Oregon.

## # A tibble: 3 x 2
##   name      avg_daily_counts
##   <chr>                <dbl>
## 1 Hawthorne            3904.
## 2 Steel                2240.
## 3 Tilikum              1725.

The counts were distributed as viewed in this graph.

We proved in class that bicycle use is highest when a day’s minimum temperature is between freezing and 65F.

I started to test whether there’s also a relationship between bike counts and a day’s minutes of sunlight. I plan to complete this test outside of class. Here’s a snapshot of the data.

## # A tibble: 10 x 3
##      Day month hours         
##    <dbl> <chr> <time>        
##  1     1 Jan.  8.783333 hours
##  2     2 Jan.  8.800000 hours
##  3     3 Jan.  8.816667 hours
##  4     4 Jan.  8.833333 hours
##  5     5 Jan.  8.850000 hours
##  6     6 Jan.  8.883333 hours
##  7     7 Jan.  8.900000 hours
##  8     8 Jan.  8.916667 hours
##  9     9 Jan.  8.950000 hours
## 10    10 Jan.  8.966667 hours