Hopefully you’re already doing this, if you’re not already tracking month over month growth then go implement it today. If you don’t know your lifetime value or attrition rate then get on those too. But if you do have that and still are unclear how to move the needle on some goal, maybe that goal is increasing lifetime value then we’re at the right place.
.. His example generates a variety of groupings, looking at the surrouding meta data its then possible to discover that:
- Grouping 1 likes Pinot
- Grouping 2 likes buying in bulk
- Grouping 3 likes buying small volume
- Grouping 4 likes bubbly
The Moral Economy of Technology
Their promoters and investors constantly moralize about their products, too. They do it so much that the goal of software “making the world a better place” is a stock joke, as in the show Silicon Valley. This kind of moral economy is not about justice or fairness. Instead it evangelizes social progress through technological disruption. This vision has deep historical roots that are uncomfortably entwined with the origins of the social sciences.
.. They almost all thought that authority in the society of the future would be grounded in scientific knowledge. They had fabulous plans for the role of scientists, including social scientists. They would constitute the supreme source of authority within the state.
.. The Saint-Simonian vision became what Hayek called “the religion of the engineers”, full of faith in the power of rational expertise. That religion is very much still with us.
.. Meanwhile, in recent years, the technology sector has massively accelerated the demand for the collection and analysis of data while also gradually diminishing the role of specifically social-scientific expertise in its evaluation. A few people are lucky enough to get access to private treasure-houses of data at places like Facebook or Uber. But mostly, these firms are managing and analyzing their data for themselves.
.. The first is the nice one. I associate it with the lives of people who live in Apple advertisements. It’s the feeling of something “just working”, that sense that a computer or device knows what you want it to do, or has anticipated a need that you have and acted on it in a pleasing way. It is a feeling of magic and delight, or at least a sense of ease and convenience.
.. But we may also be overly tempted to believe that these new technologies really are working as advertised. This may be because, even though our temperament is critical, Comte’s ideology of progress is still there in the marrow of our field.
.. If it doesn’t really work, another future presents itself—one where technologies are more like (in Maciej Cegłowski’s phrase) “money laundering for bias”
An Introduction to Scientific Python – Pandas
Pandas allows us to deal with data in a way that us humans can understand it; with labelled columns and indexes. It allows us to effortlessly import data from files such as csvs, allows us to quickly apply complex transformations and filters to our data and much more. It’s absolutely brilliant.
Dat: Versioning Data for Science Collaboration on Open Web
Dat is an open source, decentralized data tool for distributing datasets small and large.
.. Dat shares versioned data through a decentralized network, getting faster as more users use it.
.. Dat deduplicates data between versions, reducing bandwidth costs and improving speed.