hols for cans 📆

Repository with data, starter notebooks, and solution notebooks for my course Applied Time Series Forecasting in Python

Github Pages template based upon HTML and Markdown for personal, portfolio-based websites.

TimeCopilot: the GenAI Forecasting Agent. Built on LLMs and Time Series Foundation Models, it lets you forecast, cross-validate, and detect anomalies using multiple foundation models through a sing…

Materials for R-Ladies Rome workshop about forecasting with regression models

Forecasting Time Series Data with Prophet- Second Edition, published by Packt

Adds playful pets 🦀🐱🐶 in your VS Code window

The Definitive Guide to Power Query (M), published by Packt

My PowerBI Content

Great data visualization for social media koi

Bible versions and cross-reference databases.

This is a growing compilation of my visuals written in Vega. Many of these visuals also have a Power BI file where the visual has been migrated into Deneb. My hope is that others can learn, critiqu…

This is a collection of my showcases that I built in Power BI with Deneb using Vega/Vega-Lite.

Data visualization templates for Deneb, a custom visual for Power BI. The templates are examples of Vega (not Vega-Lite) data visualizations that can be used in Deneb as is or as a starting point f…

Location for sharing templates for the deneb Power BI custom visual

Code files used for Insight Quest blog posts

Microsoft Power BI Cookbook, published by Packt

Slides and visuals from the Svelte ❤️ D3 talk.

This repo will include some legacy files for Custom Kibana Visualization

A collection of advanced dataviz examples using Vega, Vega-Lite, Deneb and Power BI.

Visualizations created using the Vega-Lite language

This repository contains source code and data for data visualizations created by Andrzej Leszkiewicz using Vega visualization grammar.

Presentation - Intro to Power BI REST API

A boutique Jekyll theme for hackers, nerds, and academics

Modern JavaScript Tutorial

Transform the DOM by selecting elements and joining to data.