 Hi, I'm Diogo Zluski and this is improving open-led accessibility through package development and community work. By myself, this is Courtney Owexler, Rosati, Shokida, Baskets, Blues, Syed, and Campitelli. The APEH and Presentes packages were developed by members of the R-User group in Buenos Aires, R&B. Involving developers from many different backgrounds, the purpose of these packages is to improve the access to public information. It is an example of how strong regional communities can help development of packages and improve their access. The APEH package has as a goal to facilitate the work of those R-User that use the R&B household survey, which doesn't count with an official API. Some of its functionalities are data gathering, building data polls for cross-time analysis, organizing information for nomenclatures of occupation and economic activities, organizing labels for the database, map the information by agglomerates, and replicate the official methodology for property and indigents. We aim to ease the work of those non-expery users so that they can focus on that analysis instead of those technical details. We also include warnings and detailed documentation for raising awareness on those things that might have an impact on their results. As a majority of the users of this survey come from Argentina or elsewhere in Latin America, and as a way to bring the R code towards our community, the documentation of the package is in Spanish. As an example of use, Chiquita Serpanmode produced a regular report on gender inequalities in Argentina. The following figure was taken from this report and shows the sex composition of the sales of total individual income. The present this package includes the public data about victims of the state terrorism during the last military dictatorship in Argentina. The extensive research made by the Union Registry of State Terrorism Victims through the Unmemory Park in Argentina is not available in a database format. They show information about victims of illegal repression without legal claim and the clustering the Stein Detention Centers. These datasets include many relevant personal information about the victim's origin as well as the place and date of detention and discovery of their mortal remains. We also extended these clandestine detention center records with geo-localization obtained from their addresses. This figure shows the distribution of the clandestine detention centers using leaflet. I want to thank the Doctrine Training Unit driving for the funding.