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To acquire the CSV file from MS access we first converted the .mdb database into SQLite. Once we had access to the .sqlite3 file we created a python script to access it and execute SQL statements . Our python script generates and generate a CSV file from the result resulting table.
- Data location: gltg-source-data/Fox River Watershed Database
- CSV for latest sqlite3 file: selected_final_foxdb_20171116.csv
- Lastest MS access db: FoxDB_20171116.mdb
- Converted sqlite3 file: foxdb_20171116.sqlite3 (please use this one)
- Database design document:
- All documents: http://ilrdss.sws.uiuc.edu/fox/fox_report_phase1.asp?ws=3
- General description http://ilrdss.sws.uiuc.edu/fox/downloads/Fox_Chapter_4.pdf
- Section 4.4.1 shows a good example of SQL query
- Presentation at Nutrient Monitoring Council that explains what kinds of query Jong Lee did to extract the data from the database.
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