Project Group 23: Corey Bothwell, Nicoletta Farabullini, Jacob Gelling, Andris Prokofjevs, Qasim Warraich
Through use of data freely available from Stadt Zürich Open Data, we analyse dogs registered in Zürich and combine this data with other information available about the districts (kreis) that make up Zürich. We perform exploratory analysis using a number of visualisations and a model is developed in which we predict dog breed given related data.
The included jupyter notebook is an interactive way to view our entire data pipeline from data aquisiont through EDA and Model generation to our final takeaways
This Jupyter notebook requires use of the R Kernel, which can be installed with a very simple 2 step installation process.
The detailed instructions can be found here: https://irkernel.github.io/installation/
We reccomend a chromium based browser to view this notebook. We have discovered an issue rendering one of the visualisations in firefox.
One way to achieve this is to launch Jupyter notebook with a browser flag like for example jupyter-notebook --browser=chrome . Then the localhost url generated in the terminal may be copied into your chromium based browser and the notebook should launch.
The required packages must first be installed. On Linux, this requires the system to have Curl (for communicating with the Yandex Translate API) and GDAL (for generating the map vizualisations) installed. Potential issues with GDAL and or RGDAL installation may stem from a lack of PROJ > 6.00 when using GDAL >=3.0.
We refer you to the CRAN page for more information:
https://cran.r-project.org/web/packages/rgdal/index.html