Courrier des statistiques N7 - 2022

The seventh issue and third birthday for the review since its relaunch. The ambition is always to address a wide range of the issues affecting Official Statistics. On an educational level, it addresses statisticians, whether beginners or experts, students and teachers, as well as citizens whom the “manufacture” of statistics concerns.

The first two articles cover the integration of mixed-mode data collection into the surveys, addressing the issues of which methods and tools to use to take advantage of this new approach to data collection. One major statistical operation is modernising: the agricultural census is now collected on a mixed-mode basis. Comprehensive administrative sources are more accessible, but are they easy to use? One example is the granular analysis of household property holdings.

Data may set the tone of this issue but the latter still extensively covers the instruments that allow that data to be used and heard. A good command of cloud computing and IT development techniques are proposed to ensure the quality of statistical output. Statisticians must also be able to work in conjunction with other academic disciplines, such as psychometrics in the assessment of students’ abilities. Finally, the development of a classification of crimes demonstrates how useful it is to adopt a common framework to store, classify and analyse data.

Courrier des statistiques
Paru le :Paru le19/02/2024
Emmanuel L'Hour, Head of the Statistics Department, Insee La Réunion-Mayotte Regional Office, Ronan Le Saout, Statistical Methodology Expert, General Commission for Sustainable Development and Benoît Rouppert, former Head of the IT Production and Infrastructure Department, Insee
Courrier des statistiques- February 2024
Consulter

Some good software development techniques for the self-study statistician (or "How to count, how to code")

Emmanuel L'Hour, Head of the Statistics Department, Insee La Réunion-Mayotte Regional Office, Ronan Le Saout, Statistical Methodology Expert, General Commission for Sustainable Development and Benoît Rouppert, former Head of the IT Production and Infrastructure Department, Insee

In addition to skills in statistical methodology and a good knowledge of available data sources, the profession of statistician requires to be comfortable with IT tools. Programs not only produce the statistical results, they can also become deliverables, either as evidence or as reusable tools for future work. Having this in mind, the statistician must acquire software development best practices that will allow him to guarantee an easy understanding of his programs by other users, or re-appropriation by himself in future developments.

These best practices cover all aspects of the software development cycle: definition of requirements, program architecture, programming styles, technical choices, development tools and testing. They will make it possible to guarantee an appropriate answer to users' needs, after a step of questioning these needs, and quality of the results obtained while controlling the development costs. And more important, by making the programs easily readable, they will help the producer of official statistics to communicate on his methodological choices and how to use the data, and thus strengthen the confidence of his users.

Paru le :19/02/2024