How it works

DataBaker is built to integrate with Jupyter and Pandas. It allows users to iteratively build up intuitive recipes that describe the structure of a spreadsheet. These recipes translate the spreadsheet into flat tables of data that can be used by Pandas and other data analysis libraries or saved as CSVs.

Examples

  1. One
  2. Two
  3. Three

Benefits

  • Correlation discovery

  • Combining datasets

  • Trend analysis

Who knew a Python app spitting out CSVs could make people so happy but thank you team Sensible Code — great stuff :)

Matt Jukes
Head of Digital, Office of National Statistics

Want to talk to us?

We can provide training to help your team get up to speed with DataBaker, Jupyter and Pandas, or create a data processing, modelling and predictive analytics pipeline for you.

Call +44 333 121 1888 or email hello@sensiblecode.io.