seaborn VS abstreet

If you are doing data analysis I don't think any of the 3 pieces of software you mentioned are going to be that helpful.

I see these products as tools for data visualization and reporting i.e. presenting prepared datasets to users in a visually appealing way. They aren't as well suited for serious analytics.

I can't comment on Superset or Tableau but I am familiar with Power BI (it has been rolled out across my org), the type of statistics you can do with it are fairly rudimentary. If you need to do any thing beyond summarizing (counts, averages, min, max etc). It is not particularly easy.

For data analysis I use SAS or R. This software allows you do things like multivariate regression, timeseries forecasting, PCA, Cluster analysis etc. There is also plotting capability.

Both these products are kind of old school, I've been using them since early 2000's, the "new school" seems to be Python. Pretty much all the recent data science people in my organization use Python. Particularly Pandas and libraries like Seaborn (https://seaborn.pydata.org/).

The "power" users of Power BI in my organization tend to be finance/HR people for use cases like drill down into cost figures or Interactively presenting KPI's and other headline figures to management things like that.

It's referring to the seaborn library (https://seaborn.pydata.org/), a Python library for data visualization (built on top of matplotlib).

While it’s not perfect and it’s not ggplot2, Seaborn is definitely a big improvement over bare matplotlib. You can still use matplotlib to modify the plots it spits out if you want to but the defaults are pretty good most of the time.

https://seaborn.pydata.org/

Seaborn: A statistical data visualization library based on Matplotlib, enhancing the aesthetics and visual appeal of statistical graphics.

Matplotlib Seaborn Example data sets

Seaborn - Statistical data visualization using Matplotlib.

Github: https://github.com/mwaskom/seaborn

Seaborn Documentation

You've done a great job presenting this. Maybe you already know, but seaborne is an extension of matplotlib that makes it pretty easy to "beautify" matplotlib charts

I'm sure that your package is great, but seaborn will soon support the interchange protocol and will work relatively seamlessly with polars. https://github.com/mwaskom/seaborn/pull/3340

Super awesome! I like how you just color roads to show time. When you calculate polygons to try and cover the whole area in some 5-10 minute bucket, you can wind up with all sorts of odd holes far away from roads. Keep it simple.

https://github.com/a-b-street/abstreet/pull/1075

A|B Street does some of that, but it is not a game: https://github.com/a-b-street/abstreet

You can build it out in a cool simulator and show it off.

The tool you want exists, but you'll need to actually build the city in it. It's really an incredible program!

Active Travel England | Software Developers and Data Engineer | Full or Part Time | https://www.gov.uk/government/organisations/active-travel-en...

Active Travel England will be developing tools to support evidence-based investment and policies to support sustainable transport. We're hiring 3 roles at present (there will be more jobs in January): https://www.civilservicejobs.service.gov.uk/csr/index.cgi?SI...

We are already working with the transport simulation and scenario development tool A/B Street and the Low Traffic Neighbourhood design tool: https://a-b-street.github.io/docs/ and plan to create new web applications to transform active travel infrastructure design, monitoring and evaluation.

An exciting thing about these jobs from a software engineering perspective is that you will be starting with a relatively blank slate. In the UK we already have tools like https://bikedata.cyclestreets.net and https://www.pct.bike/ but need to go further than this. Long term, the 7 strong Data and Digital team that you will be part of will develop a comprehensive map based design support tool to provide data of the type in BikeData (and more datasets), drawing tools, and automated assessment of proposed interventions.

These opportunities will enable you to shape the future of tools for active travel investment and policy in England and, because the software develop as part of these roles will be open source, beyond.

These high profile jobs will have a large impact, see here for context: https://twitter.com/Chris_Boardman/status/159648662743800217...

I don't know the topic well enough to be sure, but isn't this what you're looking for: https://github.com/a-b-street/abstreet

https://github.com/a-b-street/abstreet - project to plan, simulate, and communicate visions for making cities friendlier to people walking, biking, and taking public transit.