Done as a group project for ITEC5207, with me as team lead and group members: Bahareh Abolhasanzadeh, Harsh Patel, Harsh Upadhyay

Dashboard

Here is the link to a quick DEMO video of the dashboard

Here is the link to the Tableau Public story

Motivation

I love going outside whenever the weather permits. I am not very good at going to different parks to explore when other parks have to offer. I always look for specific things when I go to the park and I have a hard time knowing what they have, since they do not always list it (or I’m too lazy to click through each park and read which features are listed in reviews).

For our term group project, I had wanted to make an interactive map with a list of features within a park and allow people to select which features they want. This would then update the map to include only parks that fit this criteria.

What was really amazing about working in a great team, was that everyone contributed ideas that were really useful and made our final product even better than I initially imagined!

The data we used:

• Outdoor wading pools: here you can find the address, accessibility, and when it is open.
• Outdoor pools : you can find address and accessibility.
• Splash pads: contains address, corresponding park name, open and accessibility.
• Beaches: contains address.
• Parks and greenspace: contains latitude/longitude, type of park (active/passive), dogs designation, waterbody access, ward number/name, shape area, and park category.
• Play area structures: contains address, age group, type of equipment (climbing, tire swing, pre-school swing seats, belt swing seats, slides, see-saw, sandbox, hopscotch, playhouse, spring toy), fencing, accessibility, and park name.
• Other Park Features: contains address, type of park feature (e.g. gazebo, park bench, etc.), and park name.

What did our final product have?

• Interactive map with filters based on a large group of features
• Story of what general park features can be found across Ottawa (in general and based on ward)

The technologies we used to achieve this:

• Python for analyzing, exploring and cleaning our data
• Tableau for the final visualization story