worldbank/dime-r-training

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worldbank/dime-r-training

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Dime Analytics R Training

R for Stata users

Background

This material was developed by the DIME Analytics team as an introduction to R Statistical Package for its staff.

Course description

R is a programming language and software environment for statistical analysis. It is a powerful and flexible tool widely used among statisticians and data scientists, and has a growing user base in economics research. This course is designed to familiarize participants with the language, focusing on common tasks and analysis in development research. The course will build upon comparisons to Stata syntax and requires familiarity with the use of do-files, loops and macros. It also assumes some degree of familiarity with DIME's coding practices. All sessions are designed to last 90 minutes.

Training content

01 - Introduction to R

Introduction to RStudio, R syntax, objects and classes.

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02 - Introduction to R programming

Code organization, R libraries, loops, custom functions, and R programming practices.

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03 - Data wrangling

Basic functions for processing data using the tidyverse meta library.

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04 - Data visualization

An introduction to creating and export graphs in ggplot2.

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05 - Descriptive analysis

How to create and export descriptive statistics table in R.

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06 - Geospatial data

An overview of R resources on GIS.

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07 - Introduction to R Markdown

An introduction to dynamic documents and R Markdown.

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License

This material is developed under MIT license. See http://adampritchard.mit-license.org/ or see the LICENSE file for details.

Main Contact

Luis Eduardo San Martin - [email protected]

Authors

Luiza Cardoso de Andrade
Robert A. Marty
Leonardo Teixeira Viotti
Rony Rodriguez-Ramirez
Luis Eduardo San Martin
Marc-Andrea Fiorina

stata

Stata Commands for Data Management and Analysis

ietoolkit

Stata commands designed for Impact Evaluations in particular, but also data work in general

REaLTabFormer

A suite of auto-regressive and Seq2Seq (sequence-to-sequence) transformer models for tabular and relational synthetic data generation.

Jupyter Notebook

sdgatlas2018

Replication code for the World Bank Atlas of Sustainable Development Goals 2018

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

dime-data-handbook

Development Research in Practice: The DIME Analytics Data Handbook. By Kristoffer Bjärkefur, Luíza Cardoso de Andrade, Benjamin Daniels, and Maria Jones

DIME-Resources

Repo for all the DIME Analytics/DIME resources like trainings and all.

ML-classification-algorithms-poverty

A comparative assessment of machine learning classification algorithms applied to poverty prediction

Jupyter Notebook

ml4dev

Machine Learning for Development: A method to Learn and Identify Earth Features from Satellite Images

Stata-IE-Visual-Library

This is a repository maintained by DIME Analytics and containing example graphs on how to explore data sets and display results of Impact Evaluations using Stata. For information on how to contribute to the library and download codes and data sets, click on the link to GitHub below.

Jupyter Notebook

Python-for-Data-Science

Jupyter Notebook

llm4data

LLM4Data is a Python library designed to facilitate the application of large language models (LLMs) and artificial intelligence for development data and knowledge discovery.

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.

dime-standards

Repository with resources for DIME's research standards and coding standards

GOST_PublicGoods

Jupyter Notebook

DIME-LaTeX-Templates

DIME's LaTeX templates and LaTeX exercises teaching anyone new to LaTeX how to use LaTeX and how to use DIME's templates

iefieldkit

Stata commands designed for Impact Evaluations field work. These are tools that are used during/after a survey in the field for data quality monitoring.

covid19-agent-based-model

This repository contains the Python implementation of the agent-based model used to model the spread of COVID-19.

Jupyter Notebook

SPI

Repository containing raw data, code, and final output for the Statistical Performance Indicators project of the World bank

GISTEmbed

GISTEmbed: Guided In-sample Selection of Training Negatives for Text Embeddings

OpenNightLights

Collection of tools and training materials for exploring the open Nighttime Lights repository

Jupyter Notebook

LearningPoverty

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

wbgviz

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

stata-linter

blackmarblepy

Georeferenced Rasters and Statistics of Nightlights from NASA Black Marble

Jupyter Notebook

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)

debt-data

Projects related to the World Bank's Debt Statistics

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

template

🎩 Project Template

Jupyter Notebook

GEE_Zonal

Collection of python tools for running zonal stats on Google Earth Engine layers

Jupyter Notebook

dime-github-trainings

Training materials and other GitHub related information developed by DIME Analytics

DIMEwiki

Sample code for impact evaluation and survey

GOST_SAR

Collection of tools developed by GOST team for extracting information from SAR data

Jupyter Notebook

GOSTnets

Convenience wrapper for networkx analysis using geospatial information, focusing on OSM

Jupyter Notebook

blackmarbler

Georeferenced Rasters and Statistics of Nighttime Lights from NASA Black Marble

dime-python-training

DIME's Python Training for advanced R/Stata users

Jupyter Notebook

iQual

iQual is a package that leverages natural language processing to scale up interpretative qualitative analysis. It also provides methods to assess the bias, interpretability and efficiency of the machine-enhanced codes. iQual has been applied to analyse interviews on parents' aspirations for their children in Cox's Bazaar, Bangladesh.

Jupyter Notebook

dec-python-course

Jupyter Notebook

gld

This is the repository for the Global Labor Database (GLD). It aims to contain all necessary information to understand what the GLD is and how it functions. It does not, however, contain any microdata. For any questions please contact the Focal Point ([email protected]).

GOST_AIS

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

Jupyter Notebook

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).

Jupyter Notebook

pipr

R client to the PIP API

rio-safe-space

This repository contains the supplemental material and replication package for the 2019 Working Paper "Demand for 'Safe Spaces': Avoiding Harassment and Stigma" by Florence Kondylis, Arianna Legovini, Kate Vyborny, Astrid Zwager, and Luiza Andrade.

DIA-toolkit

This repository contains all the program codes developed in the "Distributional Impact Analysis: Toolkit and Illustrations of Impacts Beyond the Average Treatment Effect" by Guadalupe Bedoya (World Bank), Luca Bittarello (Northwestern University), Jonathan Davis (University of Chicago), and Nikolas Mittag (CERGE-EI).

GLAD

Global Learning Assessment Database: a collection of harmonized learning assessments datasets at the student and country level.

school-survey

Joint UNESCO, UNICEF, WBG survey on national education responses to COVID-19.

pip

Stata module to access World Bank’s Global Poverty and Inequality data

cv4ag

Computer vision application over satellite RGB tiles for agricultural land detection

GOSTurban

GOST's combined tools for urban analysis

Jupyter Notebook

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.

python-101

A hour lighting introduction to Python for WBG staff delivered on Data Day on Feb 13

Jupyter Notebook

GEPD

Global Education Policy Dashboard

CityScan

Collection of data processing scripts to generate the baseline data for the CityScan project

Jupyter Notebook

sdg-metadata

SDG Metadata Translation Pilot

rissk

Identify at-risk interviews directly from your Survey Solutions export files.

SDI-Health

Dissemination of harmonization code and data for SDI Health surveys

EPM

Electricity Planning Model

BDA-with-Python

Jupyter Notebook

TwitterEconomicMonitoring

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

Jupyter Notebook

dkanr

General purpose R client to the DKAN Open Data platform

wb-reproducible-research-repository

This repository supports the World Bank's Reproducible Research Repository

GOSTnetsraster

Calculating market access using raster surfaces of friction or travel time

Jupyter Notebook

ethiopia-rsdp-ie

Replication Package for: The Impact of Ethiopia's Road Sector Development Program: Evidence from Satellite Data

shiny-trainings-performance-ex

EduAnalyticsToolkit

EduAnalytics Team Toolkit for Data Management, Documentation and Analytics

povcalnet

Stata client to the Povcalnet API

DIME-MSIE-Workshop

To version control and share all lab presentation, code examples etc. for DIME’s Manage Successful Impact Evaluation (MSIE) Workshop (also know as DIME’s Field Coordinator Training)

HNP

World Bank's Geospatial Team (GOST) support to the Global Practice for Health, Nutrition, and Population.

rsocialwatcher

A Social Data Collector for Facebook Marketing API

econberta-econie

Repository hosting the large language model EconBERTa and the annotated dataset EconIE

repkit

A Stata package with tools related to computational reproducibility

datalibweb

datalibweb - datalibweb is the Stata frontend for the microdata API created by Poverty Global Practice in collaboration with ITS and DECDG to enable users to access data and documentation available in different global, regional and country microdata catalogs at the World Bank.

qcheck

institutional-assessment-dashboard

This repository contains the code to create the “global institutional assessment dashboard”

intro-to-python

Introduction to Python for Data Science.

Jupyter Notebook

health-equity-diagnostics

Jupyter Notebook

INFRA_SAP

Compilation of national level infrastructure analysis as part of the World Bank's Global Infrastructure Map

Jupyter Notebook

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

geometatool

Geospatial Metadata Toolkit

GSS_Census_Tools

Collected tools for improving the EA demarcation workflow

Jupyter Notebook

SARMD_guidelines

Technical guidelines for the SAR microdata base

fin2ddh

NTL_Harmonizer

Jupyter Notebook

dime-stata-training

primus

Stata package to manage PRIMUS system

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.

GEEST

Gender Enabling Environments Spatial Tool (GEEST)

Worldwide-Bureaucracy-Indicators

Do files used to create Worldwide Bureaucracy Indicators

geolocation-twitter-urban-planning

This repository contains the code for the analysis and the reproducibility package for the paper "Applying machine learning and geolocation techniques to social media data (Twitter) to develop a resource for urban planning"

GeospatialFCVcollateral

Links to additional resources related to the Geospatial and ICT in FCV course on the Open Learning Campus (under construction)

climateknowledgeportal

Climate Change Knowledge Portal Documentation

Jupyter Notebook

RAG-Based-ChatBot-Example

worldex

WorldEx Application for subnational data indexing and discovery.

Jupyter Notebook

CoVID_density_hotspot_mapping

Identify potential hotspots for CoVID spread due to population density, building heights, and access to services

Jupyter Notebook

terridev_GSG

SDG-big-data

LSMS

Jupyter Notebook

PIP-Methodology

Methodology page for the Poverty and Inequality Platform.