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

r-econ-visual-library

This is a repository maintained by DIME Analytics and containing example graphs on how to create graphs for data analysis of Impact Evaluations using R.

LearningPoverty

Learning Poverty: an indicator with global coverage that combines schooling and learning.

econometrics-sandbox

This repository contains the code that creates the dashboards references in the “Econometrics Sandbox” blogpost series publish in the Development Impact blog (https://blogs.worldbank.org/impactevaluations)

povcalnetR

R client to the Povcalnet API

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

povcalnet

Stata client to the Povcalnet API

dime-stata-training

Firms-Web-Scraping

The aim of this project is to scrape metadata of business firms given only their name and country where they are operating.

smart-survey-boxes

This repository contains scripts about the Listening to Tajikistan project. Check our Wiki page for more details.

CropEstStatsExt

Cropland Estimation and Statistics Extraction

HEFPI2022-Programmes

Do files for SC and FP, freeze at 2022 version to accompany the launch of HEFPI2022

qcheckViz

Vacauerta

DDH2

Debt-Documents-Scraping

dec-bibliometrics-dashboard

eo_usage

Exploring the usage of earth observation and geospatial in World Bank projects

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

PIP-Methodology-2022-05

povsim

Stata program for poverty measurements simulation

PRWP_NLP_analytics

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

simple

Modeling framework for Simulations of Policies in Labor Economics

Urban_Spatio_Temporal_Trends

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