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Ideally, we would have the following variables (not collected previously):
*Onsite VC/Angel/Investors (Count or binary)
*Onsite Mentors (binary) --- ''Are these the same as advisers?''*"Office hours" with investors or mentors (binary) --- ''note: previously collected included number of events, but did not separate them into categories (e.g. networking events, workshops, etc.). We view this separation as importatimportant''
*Onsite temporary workshops (binary or count)
*Networking Meetups (Binary or count)
*Sponsors and Partners (binary and list) --- are a''re these the same?''*Alumni Network (binary) --- ''not all potential hubslist this and the fact that some do might indicate its importance''*Num of Companies --- ''to help determine size as getting physical sqfootage is difficult''*Nonprofit (binary) --- ''helpful in determining goals of potential hubs''*Mission Includes Key Buzzwords (e.g. "ecosystem", "community") --- ''help separate simple coworking spaces form hubs''
Example of Prior Variables Collected:
*Specific Industry (Multinomial) -- ''defined as LinkedIN Self Identifier, no categories just plain text. We think what we really want is to see if they have a specialty (e.g. healthcare)''*Num of Events --- ''relatively complete inputs, but from March 2016 (see above as well)''*Price for Single Space -- - ''defined as price for flexible desk, relatively complete inputs''*Price for Office -- - ''no inputs''*Twitter Activity (Multinomial or Count)-- - ''High=2/Moderate=1/No=0, no explanations on how to categorize the activity. Also no handles''*Size (sqft)-- - ''no records for majority of the companies''*Num Conference Rooms--- ''no records for majority of the companies''*Onsite accelerator (binary)--- ''relatively complete inputs''*Onsite code school (binary)--- ''relatively complete inputs''*Community Membership (binary)--- ''relatively complete inputs''
===Example Mechanical Turk===
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