Adobe Analytics Workspace makes it extremely easy for anyone to build decent looking, dynamic graphs and charts. Yet, if you are trying to visualise something that doesn’t fit within the constraints arbitrarily determined by Adobe, you’re going to have a… Continue Reading →
The following are notes from my readthrough of Maths and Stats for Web Analytics and Conversion Optimization by Himanshu Sharma, in no particular order: ROI, ROI, ROI You need 4 sets of data to calculate ROI: (1) Cost data (2)… Continue Reading →
Python is well known for its data science and analysis capabilities with packages such as Numpy, Matplotlib and Pandas. Each of these packages also offer a variety of graphing and visualisation tools, the majority of which is already very well… Continue Reading →
The below spreadsheet can be used to check key metrics before purchasing a property. All cells in orange are to be filled in with your own values. Everything else is calculated.
Terminal commands: Launch PostgreSQL terminal – psql Copy table from one db to another – pg_dump -t table_name copyfrom_db_name | psql copyto_db_name PSQL commands: List databases – \d List tables in current database – \dt List table structure – \d table_name List… Continue Reading →