Fork of scatter plot simple Health expenses

100%

Fork of scatter plot simple Health expenses

✓ Published0🌍 Public

Last edited Feb 18, 2023

Created on Feb 10, 2023

This scatter plot visualizes health expenses over time, with each point colored by gender using a categorical scale. The visualization uses D3.js v7 APIs including `scaleLinear` for axes, `scaleOrdinal` for color encoding, and `csvParse` to load data from a remote CSV file. The plot displays three distinct data series for total, male, and female expenditure values across years.

AI-generated description

Loading a CSV file, the Iris Dataset.

MIT Licensed

Similar vizzes

Loading thumbnail…

scatter plot health expenses

A scatter plot visualizes health expenditure by year across three gender categories (Total, Males, Females), with each data point colored via a d3.scaleOrdinal range. The chart uses d3.csvParse to load a CSV dataset, d3.scaleLinear for both axes, and custom d3.axisBottom and axisLeft components for labeled ticks. Circles are rendered with a fixed radius of 10 pixels, and axes labels indicate year and expenditure values. The visualization is fully responsive, sizing to the window dimensions, and updates dynamically through a state-based rendering pattern in d3.

KKhatera Alizada

91% match

Loading thumbnail…

Scatter Plot with Shape

This scatter plot visualizes health expenditure data from a CSV file, showing expenditure by year and colored by gender. The visualization uses a D3.js v7 scatter plot with a shape legend to distinguish between male and female data points. The code leverages `d3.scaleLinear` for axes, `d3.scaleOrdinal` and `d3.symbolsFill` for shapes, and `d3.symbol` to generate the point markers. A custom `axes` module handles axis rendering with labels, while the `shapeLegend` module displays the gender categories. The plot loads data asynchronously via the `fetch` API and `d3.csvParse`.

KKhatera Alizada

86% match

Loading thumbnail…

Fork of D3 Scatter Plot

This scatter plot visualizes health expenditure data over time, with each circle representing a year’s expenditure value. The visualization uses D3 v6’s `csv` loader to fetch data from a GitHub Gist, then maps it through `scaleLinear` scales for the x and y axes. Axes are rendered with `axisBottom` and `axisLeft`, while circles are drawn using SVG elements. The code explicitly parses the `year` and `Expenditure` columns as numbers, and the chart fills the entire browser window with margins applied to the plot area.

KKhatera Alizada

85% match

Loading thumbnail…

Fork of health expenditure by age and gender

This visualization uses a small multiples or faceted layout to compare per capita personal health care spending by gender across age groups and payers from 2002 to 2014. It reveals spending differences between males and females for children, working-age adults, and seniors, with data shown as multi-series line charts. The D3 code parses the CSV with `csvParse` and renders raw JSON data into a `<pre>` element, leveraging D3’s selection and join operations. The underlying data comes from the CMS National Health Expenditure accounts.

KKhatera Alizada

83% match

Loading thumbnail…

Fork of scatter plot out of pocket prescription drug expenditure

This scatter plot visualizes out-of-pocket prescription drug expenditure across age group 19-44, with data split by gender. Blue circles represent males, yellow circles represent females, and red circles show total expenditure across the years 2002-2014. The chart uses d3.scaleLinear for both axes and d3.scaleOrdinal for color encoding. Data is loaded from a local CSV file and parsed with d3.csvParse. The visualization implements axes through a custom axes function using d3.axisLeft and d3.axisBottom.

KKhatera Alizada

83% match

Loading thumbnail…

Fork of Data transformation health expenditure

This visualization explores personal health care spending by age, gender, and payer source, using data from the Centers for Medicare & Medicaid Services. It shows per capita expenditure differences between males and females across age groups (0-18, 19-64, 65+) for selected years from 2002 to 2014, addressing questions about spending by gender and population percentages. The code loads a CSV via `d3.csvParse` and `fetch`, then processes data with `d3.flatRollup` and `d3.sum` for aggregations. The current render displays raw JSON output via `d3.select` and `join`, with the full interactive visualization logic still under development.

KKhatera Alizada

81% match

Loading thumbnail…

Fork of Multiple Line plot with Dropdown Health Cost by Age

This visualization displays official estimates of total health care spending in the United States, broken down by age group and gender. A dropdown menu allows the viewer to select different expenditure categories, such as out-of-pocket costs for hospital care or private health insurance for dental services. The data is sourced from CMS National Health Expenditure data, with each category rendered as a smooth line chart using d3.line and d3.curveBasis. The visualization uses d3.scaleTime and d3.scaleLinear for axes, and d3.scaleOrdinal to color-code lines for total, males, and females. SVG paths are animated with a transition duration of 1.5 seconds.

KKhatera Alizada

79% match

Loading thumbnail…

Fork of transformation health expenditure Year Column

This visualization examines personal health care spending by age group, gender, and payer, using data from CMS National Health Expenditure Accounts. It displays per capita expenditure differences between males and females across age cohorts (0-18, 19-64, 65+) for years 2002–2014. The code loads a CSV via `d3.csvParse` from a GitHub gist, then uses `d3.flatRollup`, `d3.sum`, and `d3.group` to aggregate and summarize the filtered records, outputting computed averages and category sets as JSON text via `select().join()`. Data sets include payer, service type, age group, gender, and year.

KKhatera Alizada

79% match