Aim/Purpose: This journal paper seeks to understand historical aspects of data management, leading to the current data issues faced by organizational executives in relation to big data and how best to present the information to circumvent big data challenges for executive strategic decision making. Background: This journal paper seeks to understand what executives value in data visualization, based on the literature published from prior data studies. Methodology: The qualitative methodology was used to understand the sentiments of executives and data analysts using semi-structured interview techniques. Contribution: The preliminary findings can provide practical knowledge for data visualization designers, but can also provide academics with knowledge to reflect on and use, specifically in relation to information systems (IS) that integrate human experience with technology in more valuable and productive ways. Findings: Preliminary results from interviews with executives and data analysts point to the relevance of understanding and effectively presenting the data source and the data journey, using the right data visualization technology to fit the nature of the data, creating an intuitive platform which enables collaboration and newness, the data presenter’s ability to convey the data message and the alignment of the visualization to core the objectives as key criteria to be applied for successful data visualizations Recommendations for Practitioners: Practitioners, specifically data analysts, should consider the results highlighted in the findings and adopt such recommendations when presenting data visualizations. These include data and premise understanding, ensuring alignment to the executive’s objective, possessing the ability to convey messages succinctly and clearly to the audience, having knowledge of the domain to answer questions effectively, and using the right technology to convey the message. Recommendation for Researchers: The importance of human cognitive and sensory processes and its impact in IS development is paramount. More focus can be placed on the psychological factors of technology acceptance. The current TAM model, used to describe use, identifies perceived usefulness and perceived ease-of-use as the primary considerations in technology adoption. However, factors that have been identified that impact on use do not express the importance of cognitive processes in technology adoption. Future Research: Future research requires further focus on intangible and psychological factors that could affect technology adoption and use, as well as understanding data visualization effectiveness in corporate environments, not only predominantly within the Health sector. Lessons from Health sector studies in data visualization should be used as a platform.

Cryo-electron microscopy (cryo-EM) has witnessed radical progress in the past decade, driven by developments in hardware and software. While current software packages include processing pipelines that simplify the image-processing workflow, they do not prioritize the in-depth analysis of crucial metadata, limiting troubleshooting for challenging data sets. The widely used RELION software package lacks a graphical native representation of the underlying metadata. Here, two web-based tools are introduced: relion_live.py, which offers real-time feedback on data collection, aiding swift decision-making during data acquisition, and relion_analyse.py, a graphical interface to represent RELION projects by plotting essential metadata including interactive data filtration and analysis. A useful script for estimating ice thickness and data quality during movie pre-processing is also presented. These tools empower researchers to analyse data efficiently and allow informed decisions during data collection and processing.

Bringing data to life in your application can be done without the usual headaches. Paul Scanlon shows you how you can build beautiful data visualizations using the Google Analytics API, and you won’t have to spend any time “massaging” the data.

Event Begins: Wednesday, November 13, 2024 6:00pm
Location: CCCB 3420
Organized By: Sessions @ Michigan

Join the Quantitative Methods in the Social Sciences (QMSS) program for a night of making data fun and engaging! Sign up to compete on teams of 2-3 in 2 rounds of competition. Students in our audience will have an opportunity to vote on their favorite visuals from each round. We will have QMSS- and University of Michigan-themed prizes for participants and audience members as well as dinner on us!

Everything happens somewhere, and much of our customer data includes location information. Websites include x, y coordinates in semi-structured click streams, and the mobile apps your prospects depend on frequently support device location to provide a personalized, targeted experience. As my SAS peer Robby Powell said: "Human brains are hardwired [...]

SAS Customer Intelligence 360: Data visualization, location analytics and geospatial insights was published on Customer Intelligence Blog.

This interactive chart, designed by Krisztina Szucs and Mate Cziner from Hungary, condenses highly complex data on the costs and benefits of education around the world. It clearly highlights important facts showing students, parents and policy makers where the real costs and benefits lie for them in relation to education

At present, the data scientist is one of the most sought after professions. That’s one of the main reasons why we decided to cover the latest data visualization tools that every data scientist can use to make their work more effective.

https://www.anychart.com/blog/2020/05/06/javascript-choropleth-map-tutorial/

A method of web-based data visualization includes: a Frontend sending a request over a computer network to a server configured as a Backend; a web server of the second server fetching data responsive to the request; the web server sending a response to the Frontend in a format compatible with a plurality software adaptors located on the Frontend, the response including information about objects to be presented on a web component; logic of the Frontend passing the response to a selected one of the software adaptors; and the selected software adaptor rendering the using a web visualization library associated with selected software adaptor.

Information visualization.

Healy, Kieran Joseph, 1973- author

Rotch Library - GA102.3.N49 2017

IEEE Computer Society

IEEE Computer Society

The panelists talk about SVG and data visualization with Chris Bannon.

NEW YORK - LexisNexis® Legal & Professional, a leading global provider of information and analytics, today announced the launch of a new data visualization technology, Ravel View, into its flagship Lexis Advance online legal research platform. Ravel View transforms traditional case law search lists into a map of the cases and language that judges find most important. As a result, users can understand the legal landscape faster and uncover cases they may have overlooked in reviewing traditional search results.