#RTEM Hackathon Tutorials

This data set and associated notebooks are meant to give you a head start in accessing the RTEM Hackathon by showing some examples of data extraction, processing, cleaning, and visualisation. Data availabe in this Kaggle page is only a selected part of the whole data set extracted for the tutorials. A series of Video Tutorials are associated with this dataset and notebooks and is found on the Onboard YouTube channel.

Part 1 - Onboard API and Onboard API Wrapper Introduction

An introduction to the API usage and how to retrieve data from it. This notebook is outlined in several YouTube videos that discuss:

• how to get started with your account and get oriented to the Kaggle environment,
• get acquainted with the Onboard API,
• and start using the Onboard API wrapper to extract and explore data.

Part 2 - Meta-data and Point Exploration Demo

How to query data points meta-data, process them and visually explore them. This notebook is outlined in several YouTube videos that discuss:

• how to get started exploring building metadata/points,
• select/merge point lists and export as CSV
• and visualize and explore the point lists

Part 3 - Time-series Data Extraction and Exploration Demo

How to query time-series from data points, process and visually explore them. This notebook is outlined in several YouTube videos that discuss:

• how to load and filter time-series data from sensors
• resample and transform time-series data
• and create heat maps and boxplots of data for exploration

Part 4 - Example of starting point for analysis for RTEM and possible directions of analysis

A quick example of a starting point towards the analysis of the data for some sort of solution and reference to a paper that might help get an overview of the possible directions your team can go in. This notebook is outlined in several YouTube videos that discuss:

• overview of use cases and judging criteria
• an example of a real-world hypothesis
• further development of that simple example

More information about the data and competition can be found on the RTEM Hackathon website.