Skip to main content
SimilarExport ZIP
100%

Multiple Line plot with Dropdown

✓ Published1🌍 Public
KKhatera Alizada
Last edited Apr 28, 2023
Created on Mar 18, 2023

This visualization displays health expenditure trends in the US, showing multiple lines for different age groups over time. It uses D3.js v5 with SVG rendering and animated transitions to draw the line chart. A dropdown menu allows users to select different expenditure columns, triggering a smooth 1.5-second transition animation that redraws the lines. The chart includes a color legend for age categories and uses D3's `scaleTime`, `scaleOrdinal`, `nest()`, and `line()` APIs.

AI-generated description

Scatter plot of health expenses

MIT Licensed

Similar vizzes

Loading thumbnail…

Multiple Line plot with Dropdown Health Cost by Age

This interactive visualization displays health care spending in the United States by age group, gender, and payment source. A dropdown menu lets users select different expenditure categories, while the line chart animates between views using D3 transitions. The chart plots spending over time for total, male, and female populations, with a color legend distinguishing these groups. The visualization uses d3.csv, d3.scaleTime, d3.scaleLinear, d3.line, d3.nest, and d3.axisBottom/axisLeft to render SVG paths and axes, based on data from the Centers for Medicare & Medicaid Services.

KKhatera Alizada
91% 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
86% match
Loading thumbnail…

Dropdown

This example shows an interactive scatter plot of health care cost estimates, where a dropdown menu switches the x-axis values between Year and Out-of-Pocket Dental Services, while color encodes age group. The visualization uses d3.scaleLog for the x-axis, d3.scaleLinear for the y-axis, and d3.scaleOrdinal with d3.schemeCategory10 for coloring. A color legend supports hovering to highlight matching data points, and the data is loaded as CSV and parsed with d3.csvParse. The SVG rendering follows a modular pattern with separate functions for axes, legend, dropdown, and the main plot.

KKhatera Alizada
81% match
Loading thumbnail…

Multiple Line plot with Dropdown

This interactive visualization presents multiple line plots of air quality data from the Kings College London dataset, displayed from January 2010 through August 2018. A dropdown menu allows users to select which pollutant metric to display, with each line colored according to its category. The visualization uses D3 v5 with SVG rendering and animated transitions. The code employs `scaleTime`, `scaleLinear`, `line`, `nest`, and `transition.attrTween` via D3’s transition system, alongside custom modules for the dropdown menu and color legend.

WW9183907
81% match
Loading thumbnail…

Multiple Line plot with Dropdown

This interactive visualization displays a multiple line plot of air quality data, allowing users to compare trends across different pollutants via a dropdown menu. The chart plots daily values for each pollutant across time, with lines colored by category. Built with D3 v5, it uses `scaleTime`, `scaleLinear`, `nest`, and `line` to generate smooth curves, while a custom `dropdownMenu` component handles user selection. The data comes from the London Datastore, and the visualization updates dynamically with animated transitions on the SVG paths.

LLex
80% match
Loading thumbnail…

Multiple Line plot with Dropdown

A dropdown menu controls the y-axis metric of a multi-line chart tracking London air quality from January 2010 to August 2018, using particulate matter and gas concentration data from the London Datastore. The visualization displays nine color-coded time series, one per year, with a legend on the right. Built with D3 v5, it uses `d3.nest` to group data by year, `d3.line` with `curveBasis` for smoothing, and `d3.scaleTime` for the x-axis. A custom `dropdownMenu` module handles user selection, triggering a 1.5-second `transition.attrTween` animation when switching metrics.

KKCachel
79% match
Loading thumbnail…

Multiple Line plot with Dropdown

This interactive visualization displays monthly air quality measurements from the London Datastore, plotting pollutant concentrations over time with a dropdown menu to switch between different pollutants. The chart renders smooth multi-line paths for each year using d3.line and curveBasis, while a dynamic y-scale and axis labels update to reflect the selected measurement. The dropdown menu, built with d3.select and .on('change'), triggers a render function that recomputes the line chart with the newly chosen column. Color-coded lines distinguish annual trends, with a legend explaining the color scale.

KKeerthiKandadai
78% match
Loading thumbnail…

Multiple Line plot with Dropdown

Filtering London air quality data from January 2010 through August 2018, this interactive visualization displays yearly trends for multiple pollutant measures as colored lines, with each year distinguished by a sequential purple color scale. A dropdown menu lets users switch the y-axis among variables like PM2.5, PM10, and nitrogen oxides, updating the line chart with a smooth 1.5-second transition. Built with D3 v5, the example uses `d3.nest` to group data by year, `d3.line` with a basis curve for path generation, and a custom dropdown component; a color legend maps each year to its hue.

KKeerthiKandadai
78% match