Opening this issue to discuss changing the pypi dataset for scipy since in our tutorial proposal for Scipy, we said:
We are looking at swapping out the PyPI data exploration exercise for a more applicable set of problems for the SciPy audience and are currently vetting available datasets. The purpose of those exercises is to bring together all of the various methodologies covered in the previous sections and to demonstrate more realistic end-to-end data analysis problems. Our goal is that even if the particular problem set isn't a perfect match with an attendees field of study, that the lessons learned will be easily transferable to other data domains.
We also, promise a small section showcasing some of the geospatial features.
For the geospatial part we can use some of the datasets that we use in the geospatial blogs. But I'm not sure what would be a good replacement for the pypi part.
Opening this issue to discuss changing the pypi dataset for scipy since in our tutorial proposal for Scipy, we said:
We also, promise a small section showcasing some of the geospatial features.
For the geospatial part we can use some of the datasets that we use in the geospatial blogs. But I'm not sure what would be a good replacement for the pypi part.