Datastory is a market and consumer insights solution that helps businesses make better decisions faster with confidence. With a focus on location intelligence, Datastory provides turn-key solutions for various industries, including retail, real estate, nonprofit, faith communities, economic development, education, and healthcare. The company's expertise lies in transforming raw data into actionable insights, making it easier for businesses to target their customer demographic, expand their portfolio, and drive strategic growth.

Datastory's flagship product, MapDash, is a web-based app that organizes and visualizes data, providing users with easy-to-understand insights. The company's services range from analysis and visualization to strategic consulting, helping businesses navigate the complex world of geographic information systems (GIS). With its expertise in location intelligence, Datastory has helped clients like WareSpace accelerate their growth and expansion. By joining forces with Datastory, businesses can unlock the power of location intelligence and make data-driven decisions that drive results.

Dataset final assignment Posthumus course data-management 2023. Contains information on the Amsterdam members of the Dutch Diamond Workers Union (Algemene Nederlandse Diamantbewerkersbond) died in concentration camps during WWII.

MapDash (tm) for COVID-19 Basic (by Datastory).Right now we all share a massive challenge related to the operation and sustainability of our respective businesses. We need to make decisions quickly and we need to implement those decisions decisively. Doing so requires access, understanding, and skill in using a tremendous amount of information previously not needed, not in existence, and obviously not available. This focused, no cost version of MapDash incorporates lessons learned from businesses who have already begun to respond to this new reality. Users will gain immediate access to data that matters, as it becomes available. This includes: Hospitals and health providersTwitter feedsKey retailersVulnerable populationsCOVID-19 cases, by state, and by countyAdditional data, as it becomes availableMore information..._Communities around the world are taking strides in mitigating the threat that COVID-19 (coronavirus) poses. Geography and location analysis have a crucial role in better understanding this evolving pandemic.When you need help quickly, Esri can provide data, software, configurable applications, and technical support for your emergency GIS operations. Use GIS to rapidly access and visualize mission-critical information. Get the information you need quickly, in a way that’s easy to understand, to make better decisions during a crisis.Esri’s Disaster Response Program (DRP) assists with disasters worldwide as part of our corporate citizenship. We support response and relief efforts with GIS technology and expertise.More information...

This dataset is used to build a datastory in the course Create your first datastory on ODS Academy.

Ce jeu de données est utilisé pour la construction d'une data story au sein du cours Créer sa première datastory sur ODS Academy.

Read more about the Resident Survey conducted in 2022 and use the dashboard to explore the data.

This is number 3 of 3 data sets that accompany Data Set for Maps Data Story on VA's Open Data Site. Specifically this identifies zip codes where VA facilities could perform benefits examinations during phase 3. Data was acquired October 2020.

This is the VetPop2023 Data Story. The Veteran Population Projection Model (VetPop) provides the official Veteran population projections from the Department of Veterans Affairs (VA). VetPop is a deterministic projection model developed by the VA's National Center for Veterans Analysis and Statistics to estimate and project the Veteran Population by key demographic characteristics such as age, sex, period of service, and race/ethnicity at various geographic levels for the next 30 years. VetPop is produced every 2 or 3 years and the latest model, VetPop2023, uses the best available Veteran data at the end of Fiscal Year (FY) 2023 as the base population and projects the Veteran population from FY2024 to FY2053. See VetPop2023: A Brief Description for information on the methodology and data sources used in VetPop2023.

Ce jeu de données sert à construire les graphique de la data story "Enquête OC" accessible en suivant ce lien : Datastory OCIl est extrait du jeu de données complet de l'"enquête OC" accessible sur la plateforme data.drees en suivant ce lien : Enquête auprès des organismes offrant des couvertures complémentaires santé (Enquête OC) depuis 2019 — DATA.DREES

Green Infrastructure (GI) refers to installations like rain gardens, permeable pavement, and green roofs, and bioswales. These infrastructure projects are designed to capture and infiltrate stormwater where it lands. This relieves pressure on stormwater drainage systems and can reduce flooding on residential properties.

Data story "Korean War Veterans." Data sources: VA Veteran Population Projection Model 2018, Census 2000 Brief: Veterans, and the 2010 American Community Survey 1-Year Estimates.

Ces données sont utilisées pour la construction d'une data story au sein du cours Créer sa première datastory sur ODS Academy.

This is number 2 of 3 data sets that accompany Data Set for Maps Data Story on VA's Open Data Site. Specifically this identifies zip codes where VA facilities could perform benefits examinations during phase 2. Specifically this provides zip codes where VA facilities that could perform benefits examinations during phase 2 .

Ce jeu de données sert à construire les graphique de la data story "Enquête OC" accessible en suivant ce lien : Datastory OCIl est extrait du jeu de données complet de l'"enquête OC" accessible sur la plateforme data.drees en suivant ce lien : Enquête auprès des organismes offrant des couvertures complémentaires santé (Enquête OC) depuis 2019 — DATA.DREES

Ce jeu de données sert à construire les graphique de la data story "Enquête OC" accessible en suivant ce lien : Datastory OCIl est extrait du jeu de données complet de l'"enquête OC" accessible sur la plateforme data.drees en suivant ce lien : Enquête auprès des organismes offrant des couvertures complémentaires santé (Enquête OC) depuis 2019 — DATA.DREES

Ce jeu de données sert à construire les graphique de la data story "Enquête OC" accessible en suivant ce lien : Datastory OCIl est extrait du jeu de données complet de l'"enquête OC" accessible sur la plateforme data.drees en suivant ce lien : Enquête auprès des organismes offrant des couvertures complémentaires santé (Enquête OC) depuis 2019 — DATA.DREES

Ce jeu de données sert à construire les graphique de la data story "Enquête OC" accessible en suivant ce lien : Datastory OCIl est extrait du jeu de données complet de l'"enquête OC" accessible sur la plateforme data.drees en suivant ce lien : Enquête auprès des organismes offrant des couvertures complémentaires santé (Enquête OC) depuis 2019 — DATA.DREES

This is number 1 of 3 data sets that accompany Open Data Maps Data Story on VA's Open Data Site. Specifically this is a crosswalk data set that identifies VA facilities and their locations via postal address with zip codes and Latitude and Longitude information for facility geo plotting postal addresses. Facility location information as of 2018.

Ce jeu de données sert à construire les graphique de la data story "Enquête OC" accessible en suivant ce lien : Datastory OCIl est extrait du jeu de données complet de l'"enquête OC" accessible sur la plateforme data.drees en suivant ce lien : Enquête auprès des organismes offrant des couvertures complémentaires santé (Enquête OC) depuis 2019 — DATA.DREES

This repository consists of two directories:

pes2o-chunks-32-shards: Embeddings (split into 32 shards) for peS2o V2 pes2o-embs-32-shards: Corresponding text chunks (split into 32 shards) for peS2o V2