Data Visualizations with D3.js
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The document summarizes a presentation on data visualization with D3.js given by Brian Greig to the Charlotte Front-End Developers group. The presentation introduced data visualization concepts and the D3 library, covered accessing data via APIs, building basic visualization components like scales and axes, binding data, and making visualizations interactive. It provided examples of effective data visualizations and discussed best practices for structuring visualizations and giving proper context to data.
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![Basic Components
Your basic D3 Starter Kit
• Define the dataset [1]
• Create a container [3-5]
• Bind your data [8]
• Append visual
components & set
attributes [11-18]
• Clean up [24]](https://image.slidesharecdn.com/cfe-d3jscopy-170716040508/85/Data-Visualizations-with-D3-js-11-320.jpg)
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Leprosy
Dengue
HIV/AIDS
Hepatitis
COVID-19 (if included in the current curriculum)
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National Program for Control of Blindness
National Program for Prevention and Control of Deafness
National Tobacco Control Program (NTCP)
Introduction to Universal Health Coverage and Ayushman Bharat
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Video Link: https://youtu.be/HXeq6utg7iQ
For a more in-depth discussion of this presentation, please visit the full blog post at the following link: https://rajdeepbavaliya2.blogspot.com/2025/04/thoreau-s-influence-on-gandhi-the-evolution-of-civil-disobedience.html
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Video Link: https://youtu.be/kIEqwzhHJ54
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Overview of major health commissions
In-depth understanding of Five-Year Plans and their impact on health care
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Structure of health care delivery system at central, state, district, and peripheral levels
Concepts and implementation of Primary Health Care (PHC) and Sustainable Development Goals (SDGs)
Introduction to Comprehensive Primary Health Care (CPHC) and Health and Wellness Centers (HWCs)
Expanded role of Mid-Level Health Providers (MLHPs) and Community Health Providers (CHPs)
Explanation of national health policies: NHP 1983, 2002, and 2017
Key national missions and schemes including:
National Health Mission (NHM)
National Rural Health Mission (NRHM)
National Urban Health Mission (NUHM)
Ayushman Bharat – Pradhan Mantri Jan Arogya Yojana (PM-JAY)
Universal Health Coverage (UHC) and India’s commitment to equitable health care
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Nursing students (B.Sc, GNM, Post Basic)
Nursing tutors and faculty
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Data Visualizations with D3.js
- 1. Data Visualizations with D3.js Charlotte Front-End Developers Thursday, July 27, 2017 6:30 PM to 8:30 PM Brian Greig
- 2. Who am I • Brian Greig • Third Party Software Engineer at BoA • 13 years of web development and data analysis • Recent Charlotte transpant • Requisite Social Media @IgnoreIntuition github.com/ignoreintuition/ linkedin.com/in/bgreig/
- 3. Data Visualization with D3.js • Data Visualization concepts • Accessing data via API • Basic components • Binding data • Building visualizations • Making your visuals interactive
- 4. Data Visualization • What is Data Visualization? • What makes a Data Visualization good or bad? Subjective? Objective? • Does your chart tell a story? Does it give insight into the underlying data? • Why D3?
- 6. Data Visualization Dimension Determine how the data in your visualization is grouped Measure Calculations used in visuzalitions. Composed of aggregations. Hierarchy Data fields expanding into larger data sets and groups of data sets, with each subsequently larger data set of a higher rank than the set that came before it. Detail Dimension Provides descriptive data about a dimension object Schema Organization of data (blueprint) Subset Set of which all the elements are contained in another set. Key Terms
- 7. Accessing Data Via API • Spinning up an API Server • Using public APIs • Preprocessing data on your server and exposing it via your own API.
- 8. Accessing Data Via API • XMLHttpRequest • jQuery • d3.request - make an asynchronous request. • d3.queue - manage the concurrent evaluation of asynchronous tasks.
- 9. Basic Components Preparing your data for reporting • Server-side vs client-side • Pre-aggregation / real-time aggregation • Obtaining your data • Aggregating your data (d3.nest) • Filtering your data (array.prototype.filter) • Sorting your data (array.prototype.sort)
- 10. Basic Components Structuring your application • init: This is where you create your scales, ranges, domains, as well as binding your data to the DOM element that is going to use it. • enter: This is the initial, static visualization. here you will assign attributes and values to the different components of your element. • update: Here you will update any of the dynamic attributes of your graph if the user changes the context or scope of your data. • exit: Any cleanup.
- 11. Basic Components Your basic D3 Starter Kit • Define the dataset [1] • Create a container [3-5] • Bind your data [8] • Append visual components & set attributes [11-18] • Clean up [24]
- 12. Binding Data • Access data via API • Load data synchronously • Await runs on success
- 13. Binding Data • Aggregate as much as possible on the server • Use rollup to further aggregate data on the front-end • Use array functions (filter, sort) to create subsets
- 14. The commonality between science and art is in trying to see profoundly - to develop strategies of seeing and showing. - Edward Tufte Build Visualizations
- 15. Build Visualizations _init() • set metric • set scale • scaleOrdinal • scaleLinear • set domains • set axis • bind data
- 16. Build Visualizations _enter() • append the elements to the SVG • set attributes • static • as a function of the data • draw axis
- 17. Build Visualizations Giving your data context • Titles: Always, ALWAYS, include titles. Just enough to give proper context • Tooltips. Allowing your users to highlight the components of your graph reduces clutter • Axis. Terse and explanatory • Colors. Varied and considerate of ADA • Legends. Only if they provide value
- 18. Making it Interactive Leverage the DOM API • Event listeners • Array prototype functions
- 19. Making it Interactive _update() • runs when the graph needs to be redrawn • transitions • update attributes • Attributes that don’t need to be recalculated should be left alone
- 20. Questions
- 21. Appendix • D3 API Reference: https://d3js.org/ • JSON Placeholder: https://jsonplaceholder.typicode.com/ • Github Repo: https://github.com/ignoreintuition/ dataviz_boilerplate • 20 Years of Games: https://www.kaggle.com/egrinstein/ 20-years-of-games