Difference between revisions of "Talk:Accelerator Seed List (Data)"
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*Possibly by running accelerator_keywords.py | *Possibly by running accelerator_keywords.py | ||
*Possibly by using string searching in organizations.csv | *Possibly by using string searching in organizations.csv | ||
+ | *Watch out for Venture capital companies (the organizations file has many of these and we'll probably pick up a lot in our "accelerator" filtered list | ||
#Match this list against the current list of accelerators | #Match this list against the current list of accelerators | ||
*We have our own copy of the matcher in the accelerators E drive (try mode 1 and mode 2 for different results, mode 2 might be more helpful) | *We have our own copy of the matcher in the accelerators E drive (try mode 1 and mode 2 for different results, mode 2 might be more helpful) |
Revision as of 10:34, 24 April 2017
Hi Veeral,
Intro
Welcome to the project. The documents are here: E:\Mcnair\Projects\Accelerators
SQL documents are here: E:\Mcnair\Projects\Accelerators\SQL_Data
Database Drive is here: Z:\Bulk\Accelerators
Important docs
The SDC pull that includes all of the round data since 1999: E:\Mcnair\Projects\Accelerators\VC_Data_Repeated_Down.txt or E:\Mcnair\Projects\Accelerators\"VC Data.xlsx"
The Cohorts of accelerators (under the Updated tab on the bottom): E:\Mcnair\Projects\Accelerators\"Clean Cohort Data.xlsx"
The Crunchbase Snapshots of organizations: E:\Mcnair\Projects\Accelerators\"Crunchbase Snapshot"\organizations.csv
To-do list
- Filter out actual accelerators from the Crunchbase organizations data
- Possibly by running accelerator_keywords.py
- Possibly by using string searching in organizations.csv
- Watch out for Venture capital companies (the organizations file has many of these and we'll probably pick up a lot in our "accelerator" filtered list
- Match this list against the current list of accelerators
- We have our own copy of the matcher in the accelerators E drive (try mode 1 and mode 2 for different results, mode 2 might be more helpful)
- Find cohort data for all of the accelerators (if they're not accelerators take them off the list)
Don't worry about this stuff
Rank on VC
- Getting a VC percentage for each Accelerator
Also categorize
- Age
- Nonprofit or not
- Location
RegEx Code for repeating data down for the round data from SDC:
\n([^\t]+\t[^\t]*\t[^\t]*\t[^\t]*\t[^\t]*\t[^\t]*\t[^\t]*\t[^\t]*\t[^\t]*\t[^\t]*\t)(.*)\n\t\t\t\t\t\t\t\t\t\t
\n\1\2\n\1
=if(isnumber(search("blah",B2))=TRUE,1,0) where blah is the substring (what you're searching for), B2 is the string (what your searching in) and 1 represents that it's present and 0 means it isn't.
=sum(A1:C1) This just sums the cells from A1 to C1