Mansfield Double Up GPX Analysis

This directory contains the code and files that produce a data science analysis of a GPX file from the Mansfield Double Up mountain race in Stowe, Vermont. The project extracts data from the GPX file, processes and organizes the data, visualizes the data, and summarizes the workflow in a Jupyter Notebook.

Prerequisites

To run this project locally, you will need:

• Conda (Miniconda or Anaconda)

Binder Instructions

To run this project in a web browser, click the icon below to launch the project with Binder:

Binder will open a Jupyter Notebook in the current web browser. Click "New" and select "Terminal" to open a terminal in the project folder.

Instructions

Create and Activate Conda Environment

From the terminal, you can create and activate the project Conda environment.

Create environment:

conda env create -f environment.yml

Activate environment:

conda activate mansfield-gpx-analysis

Run the Analysis

From the terminal, you can run the analysis and produce the project outputs.

Execute the code:

make

Contents

The project contains folders for all stages of the workflow as well as other files necessary to run the analysis.

01-code-scripts/

Contains all Python scripts required to run the analysis.

02-raw-data/

Contains all original/unprocessed data.

03-processed-data/

Contains all processed/created data.

04-graphics-outputs/

Contains all figures.

05-papers-writings/

Contains all paper/report files.

Makefile

Contains instructions to execute the code.

environment.yml

Contains the information required to create the Conda environment.