2 datasets found
  1. Data from: NDS: an interactive, web-based system to visualize urban...

    • tandf.figshare.com
    mp4
    Updated May 31, 2023
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Yu Lan; Elizabeth Delmelle; Eric Delmelle (2023). NDS: an interactive, web-based system to visualize urban neighborhood dynamics in United States [Dataset]. http://doi.org/10.6084/m9.figshare.14484512.v1
    Explore at:
    mp4Available download formats
    Dataset updated
    May 31, 2023
    Dataset provided by
    Taylor & Francishttps://taylorandfrancis.com/
    Authors
    Yu Lan; Elizabeth Delmelle; Eric Delmelle
    License

    Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
    License information was derived automatically

    Area covered
    United States
    Description

    NDS is an interactive, web-based system, for the visualization of multidimensional neighborhood dynamics across the 50 largest US Metropolitan Statistical Areas (MSAs) from 1980 to 2010 (http://neighborhooddynamics.dreamhosters.com). Four different visualization tools are developed: (1) an interactive time slider to show neighborhood classification changes for different years; (2) multiple interactive bar charts for each variables of each neighborhood; (3) an animated neighborhood’s trajectory and sequence cluster on a self-organizing map (SOM) output space; and (4) a synchronized visualization tool showing maps for four time stamps at once. The development of this interactive online platform for visualizing dynamics overcomes many of the challenges associated with communicating changes for multiple variables, across multiple time stamps, and for a large geographic area when relying upon static maps. The system enables users to select and dive into details on particular neighborhoods and explore their changes over time.

  2. My Quality-of-life case study

    • kaggle.com
    zip
    Updated Mar 8, 2025
    Share
    FacebookFacebook
    TwitterTwitter
    Email
    Click to copy link
    Link copied
    Close
    Cite
    Jared Fleming (2025). My Quality-of-life case study [Dataset]. https://www.kaggle.com/datasets/jareddeanfleming/my-quality-of-life-case-study
    Explore at:
    zip(865496 bytes)Available download formats
    Dataset updated
    Mar 8, 2025
    Authors
    Jared Fleming
    License

    Apache License, v2.0https://www.apache.org/licenses/LICENSE-2.0
    License information was derived automatically

    Description

    Quality of life varies significantly worldwide, influenced by factors like cost of living, healthcare, safety, and infrastructure. This case study analyzes Quality of Life Index rankings from 2022 and 2023 to identify trends, regional shifts, and key factors affecting global well-being.

    🔍 What’s inside?

    The 10 best and 10 worst ranked countries for both 2022 & 2023 Comparative analysis of ranking changes Visualizations: Bar charts, heatmaps, and Tableau maps for better insights Regional breakdowns to see if certain areas consistently rank high or low Key takeaways on what makes a country livable This project is designed to help analysts, travelers, and policymakers understand global quality-of-life trends.

    📊 Tools Used: Excel, Google Sheets, Tableau, Python (optional for deeper analysis)

    💡 Key Questions Explored:

    Which countries improved or declined the most? Are there patterns in the best/worst-ranked regions? How do economic and social factors correlate with rankings?

  3. Not seeing a result you expected?
    Learn how you can add new datasets to our index.

Share
FacebookFacebook
TwitterTwitter
Email
Click to copy link
Link copied
Close
Cite
Yu Lan; Elizabeth Delmelle; Eric Delmelle (2023). NDS: an interactive, web-based system to visualize urban neighborhood dynamics in United States [Dataset]. http://doi.org/10.6084/m9.figshare.14484512.v1
Organization logo

Data from: NDS: an interactive, web-based system to visualize urban neighborhood dynamics in United States

Related Article
Explore at:
mp4Available download formats
Dataset updated
May 31, 2023
Dataset provided by
Taylor & Francishttps://taylorandfrancis.com/
Authors
Yu Lan; Elizabeth Delmelle; Eric Delmelle
License

Attribution 4.0 (CC BY 4.0)https://creativecommons.org/licenses/by/4.0/
License information was derived automatically

Area covered
United States
Description

NDS is an interactive, web-based system, for the visualization of multidimensional neighborhood dynamics across the 50 largest US Metropolitan Statistical Areas (MSAs) from 1980 to 2010 (http://neighborhooddynamics.dreamhosters.com). Four different visualization tools are developed: (1) an interactive time slider to show neighborhood classification changes for different years; (2) multiple interactive bar charts for each variables of each neighborhood; (3) an animated neighborhood’s trajectory and sequence cluster on a self-organizing map (SOM) output space; and (4) a synchronized visualization tool showing maps for four time stamps at once. The development of this interactive online platform for visualizing dynamics overcomes many of the challenges associated with communicating changes for multiple variables, across multiple time stamps, and for a large geographic area when relying upon static maps. The system enables users to select and dive into details on particular neighborhoods and explore their changes over time.

Search
Clear search
Close search
Google apps
Main menu