The Graphic Walker Data Explorer has undergone a much needed upgrade.
With a focus on the frontend, it is now simpler, nicer, and more user-friendly than the previous version, having moved away from the side bar, which reduced the display space of the explorer when launched.
You can enjoy the new look here: https://graphic-walker-data-explorer.netlify.app/
Would appreciate your feedback, too! 🙏
Enhancing Data Explorer: Custom Columns, Filter History, and Query Views Explained.
#cosmosdb #azure #data #dataexplorer #cloud
https://devblogs.microsoft.com/cosmosdb/data-explorer-custom-columns-filter-history-and-query-views-explained/
Managing large amounts of data is exciting. As a dataset grows in complexity and size, finding efficient ways to sort and analyze this info becomes more important. Azure Cosmos DB Data Explorer is a tool to query, review, and manage your data. We’ve heard from your feedback in our NPS survey that there’s a need […]
News!
We’ve worked to update the HM Land Registry #UKHPI service - incorporating the latest #LocalGovernment boundary changes for the April statistics release.
🔍 Explore the updated #OpenData #LinkedData #DataExplorer here: https://landregistry.data.gov.uk/app/ukhpi
Nice hands-on #azure training on #dataexplorer using #Kusto language
https://www.credly.com/badges/f86defd2-825d-4093-a274-e95fd1b1e438/public_url
Earners of this badge have participated in the Azure Data Explorer (ADX)-In-A-Day learning sessions, successfully completed the challenges, and demonstrated understanding of ADX. The earner has completed two labs covering fundamental concepts of ADX. The labs are: Lab 1: Cluster Creation, Data Ingestion and Exploration . Lab 2: KQL, Policies, and Visualization
@Gurre Frustratingly I can't draw either, annoying as I have urban ideas that would be far easier to visualise than to describe with words.
However with most of these graphs I think I could assist, as there are packages that do this, often people have done them already. Only takes some finding.
#OWID, #Gapminder, #WorldBank and other have datasets and #DataExplorer. They and others have graph packages.
Jøss, andre gang på samme kveld som jeg får bruk for #OWID #DataExplorer.
Jeg har gjort samme tankeeksperiment selv, hva fører til størst utslipp, ta flyet, bilen, eller gå til Canossa eller hvor det skal være. For det siste alternativet gjør det stor forskjell om du har ost eller bananer som niste.
@tildalwave @edmat #OWID also has a #DataExplorer on #EnvironmenalImpact.
There you can see the impact on #carbonFootprint, #landUse, #waterUse, and #Eutrophication (that was a lot of hashtags), by kg, by amount of protein, fat or kcal.
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