World Bank

stata-visual-library

Inspiration and code for data visualizatio in Stata, created and maintained by DIME Analytics.

stata-tables

Code and writing for blogpost about Stata tables

Python-for-Data-Science

covid-mobile-data

The COVID19 Mobility Task Force will use data from Mobile Network Operators (MNOs) to support data-poor countries with analytics on mobility to inform mitigation policies for preventing the spread of COVID-19

dime-python-training

DIME's Python Training for advanced R/Stata users

GOST_AIS

Process automatic identification system (AIS) shipping data for various development purposes

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.

EduAnalyticsToolkit

EduAnalytics Team Toolkit for Data Management, Documentation and Analytics

TwitterEconomicMonitoring

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

povcalnet

Stata client to the Povcalnet API

NTL_Harmonizer

ESG_gaps_research

See draft publication here: https://worldbank.github.io/ESG_gaps_research/

SDG-big-data

spi-and-sdg

Github repository for World Bank Blog Post 'Are We There Yet? Many Countries Don't Report Progress on All SDGs According to the World Bank's New Statistical Performance Indicators'

CropEstStatsExt

Cropland Estimation and Statistics Extraction

ImageryStorage

Code to catalog satellite imagery in World Bank repository

qcheckViz

Vacauerta

BlogDataStandards

datalib

dec-bibliometrics-dashboard

gld-harmonize-r

Global Labor Database Support Functions

GMD_time_comparability

NMA-data-magement-training

This repository contains content for the training held om August 18-19 for NMA-Sierra Lone

PIP-Methodology-2022-04

Version 2022-04 of the PIP methodology handbook

povsim

Stata program for poverty measurements simulation

PRWP_NLP_analytics

Natural laguage processing tools from the World Bank's Data Group

Surviving_to_Thriving

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

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