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How we do collaborative reproducible data analysis and reporting. Mostly (but not only) using R.

How we do collaborative reproducible data analysis and reporting. Mostly (but not only) using R.

How we do collaborative reproducible data analysis and reporting. Mostly (but not only) using R.

How we do collaborative reproducible data analysis and reporting. Mostly (but not only) using R.

How we do collaborative reproducible data analysis and reporting. Mostly (but not only) using R.

A place to store hints, tips and examples for data cleaning. We use a lot of very dirty data.

A place to store hints, tips and examples for data cleaning. We use a lot of very dirty data.

A place to store hints, tips and examples for data cleaning. We use a lot of very dirty data.

Visualisation of ghg emissions estimates by local authority. Shiny app using data from data.gov.uk

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/

R repo supporting the use of the SAVE project data archive

Simple (and not so simple) examples of mapping data with R

Visualisation of ghg emissions estimates by local authority. Shiny app using data from data.gov.uk

An R package for the Southampton University thesis template

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)

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)

Simple (and not so simple) examples of mapping data with R

How we do collaborative reproducible data analysis and reporting. Mostly (but not only) using R.