datasciencecampus / transport-network-performance

Measuring the performance of transport networks around urban centres
https://datasciencecampus.github.io/transport-network-performance/
MIT License
20 stars 1 forks source link

290 docs overall tp pipeline #292

Closed ethan-moss closed 5 months ago

ethan-moss commented 5 months ago

Description

Fixes #290 - adds a new explanation page covering the end-to-end transport performance pipeline.

Motivation and Context

Add an explanation page demonstrating, at a top-level, how transport_performance can be used to analyse transport networks.

Type of change

How Has This Been Tested?

New documentation: All additions and changes render as expected locally.

Test configuration details:

Advice for reviewer

This branch is not yet up to date with main (likely to be a merge conflict in .gitignore. I'm happy to resolve this once #291 is merged to dev - just let me know.

Checklist:

Additional comments

None.

codecov-commenter commented 5 months ago

Codecov Report

All modified and coverable lines are covered by tests :white_check_mark:

Project coverage is 98.13%. Comparing base (2ad9ec3) to head (b96b68a).

Additional details and impacted files ```diff @@ Coverage Diff @@ ## dev #292 +/- ## ======================================= Coverage 98.13% 98.13% ======================================= Files 21 21 Lines 1927 1927 ======================================= Hits 1891 1891 Misses 36 36 ``` | [Flag](https://app.codecov.io/gh/datasciencecampus/transport-network-performance/pull/292/flags?src=pr&el=flags&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=datasciencecampus) | Coverage Δ | | |---|---|---| | [unittests](https://app.codecov.io/gh/datasciencecampus/transport-network-performance/pull/292/flags?src=pr&el=flag&utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=datasciencecampus) | `98.13% <ø> (ø)` | | Flags with carried forward coverage won't be shown. [Click here](https://docs.codecov.io/docs/carryforward-flags?utm_medium=referral&utm_source=github&utm_content=comment&utm_campaign=pr+comments&utm_term=datasciencecampus#carryforward-flags-in-the-pull-request-comment) to find out more.

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