data analytics assignment using R studio program
Budget: $30 – $250 USD
this assignment, you will conduct an exploratory data
analysis of the 311 data. This is a much deeper dive than the
previous assignment. Here you will look for connections between columns. These questions could include, for instance,
what complaints are most associated with which agencies or
which boroughs generate the most complaints of each major
category. You will be graded on the questions you raise as
well as the answers you discover. Turn in an R markdown file
and a rendered pdf file recording your exploration.
One element you may wish to explore is the latitude and
longitude variables assigned to each row. You can generate
a map by modifying the following code. Note that you will
have to get your own key for the Google Maps API instead
of using the one below. You must not try to use the entire
13
nyc311 data set as there are too many points to visualize. Instead, choose a sample and choose only one kind of complaint.
Modify the following code to refer to the smaller data frame
you generate. Do not try to run the following code on the
entire data set.
analysis of the 311 data. This is a much deeper dive than the
previous assignment. Here you will look for connections between columns. These questions could include, for instance,
what complaints are most associated with which agencies or
which boroughs generate the most complaints of each major
category. You will be graded on the questions you raise as
well as the answers you discover. Turn in an R markdown file
and a rendered pdf file recording your exploration.
One element you may wish to explore is the latitude and
longitude variables assigned to each row. You can generate
a map by modifying the following code. Note that you will
have to get your own key for the Google Maps API instead
of using the one below. You must not try to use the entire
13
nyc311 data set as there are too many points to visualize. Instead, choose a sample and choose only one kind of complaint.
Modify the following code to refer to the smaller data frame
you generate. Do not try to run the following code on the
entire data set.