Practical examples of data analysis, manipulation, scraping, visualisation. The examples will be in R and Python.
I created a garden planer for our community garden with the following functions: seed calendar – yearly calendar with marked times when seeds of a specific plant can be planted good / bad neighbors – a list with plants that either grow well together (e.g. protect each other from illnesses) or that grow bad together (e.g. require the same resources) plant bed planner – a list of plant beds and plants, plants for each plant bed are marked for good…
I made a cheat sheet for various visualisations from the Seaborn library. I hope it will be of use for others 🙂 If you experience problems please comment to improve the sheet. Download here: Searborn visualisation cheat sheet
While I did research at university I worked mostly with quantitative data and did all analysis either in SPSS (a very small part) and R. R is a powerful tool yet comparable easy to learn (with basic knowledge about programming). But I found its limiting in the ability to create interfaces. One could, rightfully, argue its not its purpose. This limitation in mind brought my interest to python. Python offers many ways to create interfaces, such as via Django or…