(You want the material you developed for your NTTS21 paper to be added to this list? Drop us an email estat-ntts@ec.europa.eu!)
| code | topic | abstract paper |
|---|---|---|
destim |
R package for mobile devices position estimation |
From raw telco data to final statistics: a modular process with synthetic networkevent data |
deduplication |
R package for computing device-duplicity probabilities |
|
aggregation |
R package for aggregating device counts into network-detected population counts |
|
inference |
R package for computing the target population counts conditioned on network-detected population counts and auxiliary information |
|
ARC |
Workbench for acquisition and normalization of data sets | Implementing shared statistical services |
IS2/Relais |
Workbench for tuning and launching statistical services, in particular RELAIS for record linkage | |
PxWeb |
Web application for dissemination of statistical tables | |
Trevas |
Validation and Transformation Language engine with Apache Spark implementation |
|
statistics-coded |
Catalogue of resources to reproduce the results of Eurostat Statistics Explained articles | statistics-coded – Storytelling through literate programming and runnable computing |
persephone |
Object-oriented wrappers for RJDemetra |
persephone, production-ready seasonal adjustment in R with RJDemetra |
lissyrtools |
R package with functions for LISSY |
Continuous integration and sharing code in Official Statistics: an example with the lissyrtools package |
Exppert |
An open-source tool for experimenting with noise based perturbation schemes | An open-source tool for experimenting with noise-based perturbation schemes |
SLOPA |
Statistical learning for overestimated population adjustments | Correcting for population overestimates by using statistical classification methods |
Python dbnomics |
Access DBnomics time series from Python |
Publicly available high frequency indicators for assessing current economic activity in crisis time |
R dbnomics |
Access DBnomics time series from R |
|
Julia dbnomics |
Access DBnomics time series from Julia |
|
Matlab dbnomics |
Access DBnomics time series from Matlab |
|
Stata dbnomics |
Access DBnomics time series from Stata |
|
ntts2021-large-datasets-apache-parquet |
Large datasets Apache Parquet | Providing large trade data sets for research using Apache Parquet and R Shiny |
Programme of NTTS 2021 conference available here.