Explore projects
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Ben Anderson / dataCleaning
MIT LicenseA place to store hints, tips and examples for data cleaning. We use a lot of very dirty data.
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Ben Anderson / UK-TU-2014
MIT LicenseProcessing and exploration of the UK Time Use Survey 2014-2015
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SERG / dataCleaning
MIT LicenseA place to store hints, tips and examples for data cleaning. We use a lot of very dirty data.
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SERG / Census2022
GNU General Public License v2.0 or laterCollection of stats code for the ESRC funded 'Census2022' research project
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Computational Genetics / Zalpha
MIT LicenseUpdated -
SERG / SAVE Data
GNU Affero General Public License v3.0R package to support the re-use of the Solent Achieving Value from Efficiency (SAVE) project data
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SERG / IMPETUS
GNU General Public License v2.0 or laterRepo supporting NERC funded IMPETUS project https://energy.soton.ac.uk/impetus-domestic-water-demand-and-drought/
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Visualisation of ghg emissions estimates by local authority. Shiny app using data from data.gov.uk
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Mikey Harper / sotonthesis
MIT LicenseAn R package for the Southampton University thesis template
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Ben Anderson / woRkflow
MIT LicenseHow we do collaborative reproducible data analysis and reporting. Mostly (but not only) using R.
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Tom Rushby / woRkflow
MIT LicenseHow we do collaborative reproducible data analysis and reporting. Mostly (but not only) using R.
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SERG / woRkflow
MIT LicenseHow we do collaborative reproducible data analysis and reporting. Mostly (but not only) using R.
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A repo for our fridayFagPacket data notes (numbers that could have been done on the back of one and should probably come with a similar health warning)
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A repo for our fridayFagPacket data notes (numbers that could have been done on the back of one and should probably come with a similar health warning). Is auto-mirrored to https://github.com/dataknut/fridayFagPackets but best viewed at https://dataknut.github.io/fridayFagPackets/
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A repo for our fridayFagPacket data notes (numbers that could have been done on the back of one and should probably come with a similar health warning)
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Visualisation of ghg emissions estimates by local authority. Shiny app using data from data.gov.uk
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