Skateparks In Data

Introduction

Welcome to our project Skateparks in Data!
This is a data analytics project showing data vizualisations for skateparks in the city of Malmö, Sweden.

Motivation

We wanted to see how many people that ride either: Skateboard, kickbike, BMX or inlines/roller blades at different skateparks at different times during the day, how the age-groups differ and so on in Malmö.

Since the city of Malmö is investing in skateboarding and considered a popular skateboarding-town, we hope that our project will be of interest.

We also hope that our project can help you in your project.

Dataset

We have collected our own data through this form regarding skateparks in the city Malmö (Sweden).
Find our dataset (csv) here.

Labels in the dataset
Skatepark
Sport
Age group
Gender
Weather
Favorite environment
Level

Requirements

pandas
seaborn
geopandas
folium
matplotlib
voila
requests
emoji
shapely.geometry
wordcloud
ipywidgets
IPython

Deploy

Webpage was deployed through HeroKu: Skateparks in Data homepage

Installation/Setup

This project requires the following to be installed:

• Python 3 or newer
• Jupyter

Connect with Skateparks in Data

• Facebook
• Instagram
• All links gathered in one place

Contributors

GitHub

• Helena Barmer
• Johan Wikström
  

LinkedIn

• Helena Barmer
• Johan Wikström

Credits

A special thanks to Google and Stackoverflow