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7 changes: 5 additions & 2 deletions content/post/2021-04-16-functional-programming-with-strava-data/realworld_apps.Rmd
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Expand Up @@ -25,7 +25,7 @@ library(lubridate)

This will produce an overlay of the Strava data (specifically bike rides) on top of Eugene, Oregon bike paths. City planners use Strava data to understand high-use areas within the city to help avoid accidents involving bikers and runners.


# Wow! Very interesting and creative project! I really like the usefulness of this project that to assist the policy maker creating safer enviroment for bikers and runners in Eugene! A new thing to learn for me!
```{r firststep}
#reading in data
strav_data <- read_csv(here("content/post/2021-04-16-functional-programming-with-strava-data/data", "strav_csv.csv"))
Expand All @@ -35,7 +35,7 @@ dataready <- strav_data %>%
select(where(~length(unique(.)) > 1)) %>%
clean_names() %>%
mutate_if(is.numeric, ~round(., 2))

# Perhaps can turn this dataready into a function for easier use and readability

#load in googlemaps polylines
polylate <- function(activity_id){
Expand All @@ -45,6 +45,9 @@ polylate <- function(activity_id){
return(decoded_polyline)
}


#Perhaps add a warning / stop message in the case of failure to run?
#get_activity function has not been defined
```


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