In this post I am exploring some weather datasets as measured by Met Eireann using the Plotly Dash framework. I have a very basic dash app deployed here on Heroku. The app uses some dropdowns, sliders, tabs, markdown and graph components, using callback functions to link the user’s options with some plots.

Dash is a python framework for building data visualisation web apps.

Here I will keep a collection of notes and references related to build Dash apps as well as links to some Dash apps as they are deployed.

A collection of notes on making this website using the Hugo open-source static site generator. Hugo uses the Go language. There is a quick start guide which outlines how to get up and running very quickly with a new Hugo site.

In this project I simulated the World Happiness Score, in particular the main determinants of happiness at country levels across the world as reported in the World Happiness Report. The aim of the World Happiness report is to see what countries or regions rank the highest in overall happiness and each of the six factors contributing to happiness.

Exploring some of the open data available from the Irish Open Data Portal at https://data.gov.ie and retrieving datasets programmatically through Python using the CKAN APIs.

Machine-learning project: Predicting power output from wind speed.

Some statistics and machine learning tasks

This project involved creating a Python web application using a Flask server with REST API to perform CRUD operations on several database tables using AJAX calls. The application links to a third party API - the Irish open data portal at https://data.gov.ie using the CKAN API.