PIP-Methodology
Data analysis framework
Provides guidance on methodology and data analysis for a platform focused on poverty and inequality indicators.
Methodology page for the Poverty and Inequality Platform.
3 stars
4 watching
1 forks
Language: TeX
last commit: about 2 months ago Related projects:
| Repository | Description | Stars |
|---|---|---|
| worldbank/pipr | Provides R interface to access World Bank's Poverty and Inequality Platform (PIP) API for estimating poverty rates | 13 |
 climatepolicyradar/methodology | Develops a framework for analyzing and visualizing climate policies worldwide | 5 |
 topepo/fes | Provides code and data sets to support the analysis of feature engineering and selection in predictive models | 726 |
 x-datainitiative/tick | A Python module for statistical learning with an emphasis on time-dependent modeling, providing tools for machine learning, point-process modeling, and optimization. | 495 |
 derekbeaton/plsca_framework | An R package implementing techniques for analyzing multivariate data relationships | 1 |
 usepa/epatada | Tools for automating data analysis of water quality monitoring data | 40 |
 ices-tools-prod/taf | A general framework to organize data, methods, and results used in reproducible scientific analyses. | 3 |
 giacbrd/smartpipeline | A framework for designing and executing concurrent data pipelines with a focus on simplicity and efficiency | 25 |
 jordipolo/dataframe | A library providing an API similar to Python's Pandas or R's data.frame(), for working with tabular data in Elixir | 62 |
 opendatacube/datacube-core | A Python-based platform for integrated gridded data analysis from decades of Earth observation satellite data | 518 |
 volatilityfoundation/profiles | These zip files provide custom configurations for analyzing Linux and Mac OS X systems using the Volatility framework. | 319 |
 rjt1990/pydata2016-sanfrancisco | An analysis of time series methods using PyFlux library and incorporating NFL prediction model. | 23 |
 dataforgoodfr/quotaclimat | A tool to quantify media coverage of climate crises by collecting and analyzing radio and TV data from the Mediatree API. | 29 |
 xarray-contrib/xeofs | Tools for dimensionality reduction in climate science data analysis | 109 |
 braverock/performanceanalytics | A package of econometric functions for analyzing financial performance and risk | 211 |