There are 2 repositories under official-statistics topic.
An awesome list of statistical software for creating and accessing official statistics
STADATA is a Python package that simplifies access to statistical data provided by BPS - Statistics Indonesia
FormGear is a framework engine for dynamic form creation and complex form processing and validation for data collection.
🥇🏆🏅 KnowAIS project won first place and Best Visualization in The UN Big Data Hackathon 2022 Big Data Expert Track.
The ONS Big Data Team Github pages
Download raw data from the Fatality Analysis Reporting System and prepare it for research.
A python package for accessing the official statistics of Japan.
R codes and dataset for the estimation of the high-dimensional state space model proposed in the paper "A dynamic factor model approach to incorporate Big Data in state space models for official statistics" with Franz Palm, Stephan Smeekes and Jan van den Brakel.
CRAN Task View: Official Statistics & Survey Statistics
Istat Experimental Statistic: TERRA
Functions to compute national accounts coverage ratios with the LIS Data Center methodology
UNECE HLG-MOS Synthetic Data Challenge (TEAM DESTATIS)
🥈🏆 SEPAKAT - Modul Integrasi is a winning project in Regsosek Hackathon 2022 organized by The Ministry of National Development Planning/Bappenas Indonesia. This module provides a single individual identification model by integrating Regsosek data as basic information which is then linked with related data using the idea of entity resolution.
Google Data Studio connector for accessing the indicators distributed through the API of the Canary Islands Data Infrastructure and Statistical Metadata (eDatos)
PowerBI connector for accessing open data, distributed through the APIs of the Canary Islands Data Infrastructure and Statistical Metadata (eDatos)
Bring the data you care about into Tableau
Two-for-one - Building animated Line plots with GGplot + Obtaining indicators from INE Portugal
Production of a harmonised local authority district (LAD) classification that is stable over time and consistent with official data on commuting and migration. Coverage: England & Wales.
The METAMAC project was born with the idea of improving the quality of the statistical results produced in the Statistical Offices of the Macaronesian Region
Webpage of the project "Towards census-like statistics for foreign-born populations"
population scenarios City of Zurich
This work pertains to detailed analysis, through survey in and around Kolkata region, of the existing Multi-Dimensional Poverty Index used by India to calculate the level of poverty at individual, state and nation level.