How to use DPLYR functions in R

# How many projects had a deadline in 2018? # Hint: start by googling "r get year from date" and then look up more about # different functions you find

# What proportion or projects weren't successful? Your result can be a decimal

# What was the amount pledged for the project with the most backers?

# Of all of the projects that *failed*, what was the name of the project with # the highest amount of money pledged?

# How much total money was pledged to projects that weren't successful?

# Performing analysis by *grouped* observations ----------------- (38 Points)

# Which category had the most money pledged (total)?

# Which country had the most backers?

# Which year had the most money pledged (hint: you may have to create a new # column)?

# What were the top 3 main categories in 2018 (as ranked by number of backers)?

# What was the most common day of the week on which to launch a project? # (return the name of the day, e.g. "Sunday", "Monday"....)

# What was the least successful day on which to launch a project? In other # words, which day had the lowest success rate (lowest proportion of projects # that were successful)? This might require some creative problem solving.... # Hint: Try googling "r summarize with condition in dplyr"