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stata2r

surviving_to_thriving

Data science scripts and tools to support the World Bank flagship report From Surviving to Thriving

teach

Contain code related to the Teach project. Specifically, some python code useful for creating video-clips

template

🎩 Project Template

terridev_gsg

test

test

turkey_urbanization

Calculating statistics for Turkey urbanization

twittereconomicmonitoring

Collection of training materials to download and draw insights from Twitter data.

ucra

unsiap-data-science-training-2018

This repository contains training materials for the course I delivered at UN Statistical Institute for Statistics (SIAP) in Chiba, Japan

urban_spatio_temporal_trends

urbanclassifier

vacauerta

water-when-it-counts

Replication files for Water When It Counts: Reducing Scarcity through Irrigation Monitoring in Central Mozambique by Paul Christian, Florence Kondylis, Valerie Mueller, Astrid Zwager and Tobias Siegfried

wb-nlp-apps

This repository contains the NLP modeling components and web application implementations of a project for knowledge and data discovery funded by the Knowledge for Change Program (KCP) and the Joint Data Center on Forced Displacement (JDC).

wb-nlp-tools

Natural language processing tools developed by the World Bank's DECAT unit. A suite of text preprocessing and cleaning algorithms for NLP analysis and modeling.

wb-reproducible-research-repository

This repository supports the World Bank's Reproducible Research Repository

wb-rezoning-explorer

wb-rezoning-explorer-api

wbcran

wbgviz

Several R packages for World Bank-standard visualisations, building on ggplot2

wdi-production

The World Development Indicators is a compilation of relevant, high-quality, and internationally comparable statistics about global development and the fight against poverty. The database contains 1,600 time series indicators for 217 economies and more than 40 country groups, with data for many indicators going back more than 50 years.

welcom-tool

WELCOM, an easy-to-use Stata-based package with minimum data requirements, was conceived as part of larger World Bank efforts to better understand how competition policy can improve market efficiency and reduce poverty. WELCOM can estimate likely distributional direct effects—that is, decrease in price and poverty, and increase in product uptake—from expanding competition

world_bank_basemaps_endpoints

worldbank.github.io

worldwide-bureaucracy-indicators

Do files used to create Worldwide Bureaucracy Indicators

zaf_econ_diversification

Mapping and quantifying opportunities for economic diversification in Mpumalanga in South Africa

zambia-cholera-geospatial-modelling

Store code for the geospatial modeling conducted in Zambia from Oct 2017-May 2018

zsa_census

Zambian census workshop organized by the World Bank Group