DATA SCIENCE statistics R Programming project
GlobalTechSync, a highly regarded fortune 500 tech company, is looking for a site to build their new corporate headquarters. You have been asked by the city of Austin, TX, to help select potential sites to include in their bid that they submit to the GlobalTechSync location scouts.
You will apply the data science skills you have learned in this course to help select the best locations and will follow a Lifecycle of Data Science as you explore the options.
As always in this class, the work you prepare and turn in must be your own work. This is not a group project. All code used in your final project must be written by you and all analysis must also be done by you.
Please read all the instructions before you l+ggin work on the project.
We will use a dataset of parcels (areas of land) in Austin, TX to conduct this analysis called Austin.Lots.csv (make sure you download it from our course page).
Here are some details and documentation about the dataset you will be using:
Variable name Description
FID Unique row ID
blockjd Identifies Austin city block if applicable
created.by ID of employee who created initial record
date.creat Date record was initially created in Austin public database
land base Austin parcel record database ID
land.basel Land unit type designation
lotjd Austin lot ID
modified b ID of employee who last updated record
date modif Date record was last modified in Austin public database
objectid Austin secondary ID
City.dist Distance in meters from parcel to the Austin City Center
Airpt dist Distance in meters from parcel to the Austin International Airport
district Texas service district number
Shape Area Area of parcel in meters squared
zoning o 3 Austin zoning designation. See Appendix for code description
zctaScelO Zip code