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Data Science Campus's Projects

access-to-services icon access-to-services

Repository for the Data Science Campus Access to Services project (linked to datasciencecampus/graphite and datasciencecampus/propeR)

accessrmd icon accessrmd

accessrmd is a package with functions intended to improve the accessibility of Rmarkdown documents.

ace2 icon ace2

A text classification app

app_review icon app_review

Code to get reviews from the Apple App Store and Google Play APIs

awesome-campus icon awesome-campus

A repository containing an index of our projects and tools that we have published.

bananab icon bananab

Automated pulling, processing and pushing of Mailchimp Marketing API data

bus-metrics-england icon bus-metrics-england

Bus coverage and punctuality metrics for all public services across England (excluding London)

causalpycustom icon causalpycustom

A Python package for causal inference in quasi-experimental settings

census21api icon census21api

A Python wrapper for the England & Wales Census 2021 "Create a Custom Dataset" API

centhesus icon centhesus

Synthesising the 2021 England and Wales Census from publicly available data

chrono_lens icon chrono_lens

Cloud hosted traffic camera image analysis and related time series creation, providing scalable data collection and processing

clapp icon clapp

Cluster analysis & renaming app (originally part of Optimus)

coding-in-the-open icon coding-in-the-open

A compendium of open-source guidance which aims to share the benefits, risks and a summarised strategy for open-source coding.

coffee-and-coding-ldn icon coffee-and-coding-ldn

A public repository to hold resources and notes from ONS Coffee & Coding sessions in London

deploy-dash-with-gcp icon deploy-dash-with-gcp

A simple dash application that shows users how to deploy dash using Google Cloud Platform (GCP)

detecting-trucks icon detecting-trucks

A machine learning approach to detecting large vehicles in Sentinel-2 Earth observation satellite imagery. This experimental project, developed by the International Development squad, was concerned with exploring whether the number of trucks on roads could be used as an economic indicator.

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