Data Science Desktop Survival Guide by Graham Williams
Desktop Survival Project Home Preface Data Science Introducing R R Constructs R Tasks R Strings R Read, Write, and Create Data Template Data Exploration Data Wrangling Data Visualisation Statistics ML Template ML Scenarios ML Activities ML Applications ML Algorithms Cluster Analysis Decision Trees Computer Vision Graph Data Privacy Literate Data Science Coding with Style Resources Bibliography Index

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Good Practise

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resume

Ensure that files are under version control such as with gitlab, github or bitbucket. Version control systems support the recovery of previous versions of the file, to always be able to go back to a previous working version of the software, for example. Also these software development repositories support multiple people working on the same project. They also facilitate sharing of the software more broadly, contributing back to the community from which we are all benefiting. If the material is not public then the repositories can be marked as private, or as open source software, gitlab can be installed on your own internal server.