jordibayer / barcelona_data

Welcome to Barcelona project!

Here you have a lot of information about our city. You have a lot of information, you should select only the most interesting, you don't want to consume all the memory in your computer!

Project Goals

• Give some insights about your topic giving some arguments.
• Choose the data interesting for your questions.
• Think about more data would be great to have.
• Propose a structure for the database (add the aggregates you think that will be useful). You don't need to give us a very detailed structure with the data types, only the tables you would create and some relations between them.

Some hints

• Propose some interesting questions you could answer with the data you have.
• Look for more interesting datasets you could use.
• Before starting doing a lot of code, think the way you are doing the analysis (workflow).
• You will see you have more questions than answers. Never mind. Even if you can't answer any question. Be sure you show us why you couldn't answer something and only that will be very interesting.
• You don't need to give us all the CREATE TABLE statements, only need to propose a structure. For example you could take a picture of your drawings.
• For the structure, if you have data with columns that don't match, feel free to add them and do some comments like you would need that columns.
• For the structure you can also delete the columns you think are useless.
• Follow the workflow you have defined. If you need to add a task don't worry but have it in mind.

Topics

• Transports.
• Urban environment.
• Population administration.
• Economy and business.

At Friday you will be asked to...

• Present your insights and your arguments as easy for us as you can (with NO plots).
• Give importance to the most important questions (or you think that are the most interesting).
• Explain the questions you couldn't answer and why.
• Explain why you chose the data you chose.
• Explain how would you save the data: the structure, the data you would need to add, the data you would like to delete, etc.
• Explain the learnings with the workflow: if you could have done it better, if you have needed to add any task, if it's been useful, etc.

First day instructions:

• Fork the repository.
• Take a look on the possible datasets you have (below the info).
• Do some brainstorming thinking some interesting questions you could do and which data you would use.
• Look for some more data in Barcelona Open Data page and in Catalonia governement webpage and in Spanish governement webpage.
• Define the tasks you will do, setting those ones to be done individually and those ones to be done pairing.

Datasets

• accidents_2017: List of accidents handled by the local police in the city of Barcelona.
• air_quality_Nov2017: Mesure data are showed of O3 (tropospheric Ozone), NO2 (Nitrogen dioxide) and PM10 (Suspended particles).
• air_stations_Nov2017: Main characteristics of the air quality measure stations of the city of Barcelona.
• births: Births by nationalities and by neighbourhoods of the city of Barcelona (2013-2017).
• bus_stops: Bus stops, day bus stops, night bus stops, airport bus stops of the city of Barcelona.
• deaths: Deaths by quinquennial ages and by neighbourhoods of the city of Barcelona (2015-2017).
• immigrants_by_nationality: Immigrants by nationality and by neighbourhoods of the city of Barcelona (2015-2017).
• immigrants_emigrants_by_age: Immigrants and emigrants by quinquennial ages and by neighbourhood of the city of Barcelona (2015-2017).
• immigrants_emigrants_by_destination: Immigrants and emigrants by place of origin and destination, respectively (2017)
• immigrants_emigrants_by_sex: Immigrants and emigrants by sex by neighbourhoods of the city of Barcelona (2013-2017).
• most_frequent_baby_names: 25 Most common baby names in Barcelona, disaggregated by sex. Years 1996-2016.
• most_frequent_names: 50 Most common names of the inhabitants of Barcelona, disaggregated by decade of birth and sex.
• population: Population by neighbourhood, by quinquennial ages and by genre of the city of Barcelona (2013-2017). Reading registers of inhabitants.
• transports: Public transports (underground, Renfe, FGC, funicular, cable car, tramcar, etc) of the city of Barcelona.
• unemployment: Registered unemployement by neighbourhood and genre in the city of Barcelona (2013-2017).