This project was developed by Ana Frias, Rute Correia and Tristan Piat for the Ironhack Data Analysis bootcamp, January 2020.
Below you can find some information about the project and its context.
Request:In this project, you will do and present an analysis of your choosing on a topic related to Lisbon, Berlin or Barcelona.
Delivered: An overview of Lisbon's cultural offer. We focused on the events' categories, seasonality, most used venues and price barrier.
- Learn to propose interesting questions that can be answered with data.
- Explore/research the data available related to your topic.
- Perform a very simple analysis of your data and identify interesting insights.
Our questions:
- What is the most popular type of event in Lisbon? ("most popular" meaning with most occurrences)
- What are the venues with the largest offer?
- Is there any seasonality on the offer?
- What are the price barriers in terms of admission?
- Usage of open data
- City-level focus
- No plotting was allowed
We compiled our data processing in the Jupyter Notebook in this repo.
We used a JSON file with all the entries of the AgendaLX website, which is maintained and updated daily by Câmara Municipal de Lisboa (Lisbon's City Council). This data is available under a CC BY license.
Dataset downloaded on January 29th 2020