Posts categorized Data Visualization

AD3ventures in Mapping

Administrative data – data from civil registration and vital statistics systems, and sectoral (health, education, judicial, social protection) management information systems – is rich with insights on citizen needs and priorities. Though timely and disaggregated administrative data can complement official statistics, it comes with its own data quality, availability, and use challenges.

March 16, 2022 Agriculture
Data Visualization, Explainer
AD3 ou une aventure cartographique

Par le biais d'AD3, nous avons développé un tableau de bord qui se concentre sur le climat, les prix du marché, les maladies du bétail, le niveau des fleuves et les précipitations annuelles, entre autres thèmes. Si le tableau de bord lui-même est un référentiel d'informations utile, la méthode d’élaboration des cartes et d’itération des commentaires des utilisateurs a permis d'identifier les bonnes pratiques en matière de visualisation des données.

March 16, 2022
Data Visualization, Explainer
Designing Data Visualizations: Merging Best Practices and Design Thinking

DG has been co-designing data visualizations with partners and stakeholders for over a decade. Thinking about the ways people process information is crucial to developing easy-to-understand data visualizations. In this post, we examine best practices for incorporating user-centered design into our data visualization outputs.

March 3, 2022 Global Data Policy, Strategic Advisory Services
Data Visualization, Explainer
VIFAA Ghana Dashboard
The Evolution of Ghana’s Fertilizer Sector – From Subsidies to Crop Specifics

In looking at the data and talking to stakeholders in Ghana, several key trends are starting to emerge in the country’s fertilizer market and in turn through the data captured in the VIFAA Ghana Dashboard. These trends are important for decision-makers planning for each season, and when thinking about the future of the market. In this blog we’ll dive into these features of the Ghana market, including where (and how) the data fits in.

November 11, 2021 Agriculture
Data Use, Data Visualization