How to cope with the variability and complexity of person name variables used as identifiers. This is the fifth article of our journey into the Python data exploration world. A list of the published articles you can find here (and the source code her... Read More
Explaining the concepts by using our tutorial program as a showcase I planned to introduce in this session the merging algorithm for our two data sets via the name variables. To outline the overall approach understandably and concisely, it’s essent... Read More
Write a govAPI_UK implementation class which retrieves the following attributes from the UK government API: family name given ame gender party id (by extracting the number out of the _about attributes) Below you see a dedicated record of the members ... Read More
Source Politician Data from Public Government Data API’s to Increase Allocation Accuracy In this tutorial, we do mainly two steps First of all we generate some plotly diagrams out of our collected data, secondly, we connect a public government API t... Read More
In this exercise, we will convert our initial program (refer to the first tutorial) to a general purpose program for fetching twitter information of parliaments member of a country. This means we do the first iteration of generalization and refactori... Read More
This is the exercise for the first tutorial: https://dev.cloudburo.net/2019/01/27/python-tutorial-retrieve-a-list-of-swiss-government-members-from-twitter.html In order to identify the associated party of a Swiss politician, we introduce the method c... Read More
The tutorial will show you how to extract a list of tweeting Swiss Government Members via the Twitter API. The extracted data will be put into a Panda Dataframe and then visualized via the powerful Plotly package. Source Attribution: http://www.parl... Read More