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Some lessons learned from processing FB data.
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workshop-2017-10's Introduction
- 2017-10-17 and 2017-10-24 at National Taiwan University Applied Micro
- Materials Prepared by Keng-Chi Chang and Chunhsiang Chang
-
Structures of Facebook Open Data and Data on Server
- How Facebook open data looks like, and the organizations of the data on
our server.
- Slides:
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Useful SQL and Google Cloud for Facebook Data Wrangling
- Essence of SQL, Google BigQuery, and Google Cloud Storage, with an
application to Facebook data wrangling.
- Slides:
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Use R to Control Google BigQuery
- Get rid of Web UI to control BigQuery using R.
- Slides:
-
fbscore
package
- A Python package to calculate user and page ideology scores using user's
like records of Facebook pages.
- The package is currently mainly for internal use and is still updating.
- You can see a demo here:
-
Use MySQL on server
- Import and extract Facebook data on server using MySQL.
- Slides:
workshop-2017-10's People
Contributors