Warfarin BarChart with Custom Axis

100%

Warfarin BarChart with Custom Axis

✓ Published2🌍 Public

Last edited Nov 29, 2019

Created on Nov 29, 2019

This bar chart displays the decreasing number of patients in the AF Well state across advancing ages in the Warfarin arm's first line of therapy. The visualization uses D3 v5 with an SVG rendering approach, employing `scaleLinear` for the x-axis and `scaleBand` for the categorical age groups on the y-axis. The code loads data from a CSV file containing simulation model outputs, and custom axis formatting includes removed tick lines and a manually positioned title. The chart highlights how the well population cohort declines from 1000 at age 70 to near zero by age 90.

AI-generated description

This bar chart shows how the AF Well Population cohort changes across several years in the PRIME model.

MIT Licensed

Similar vizzes

Loading thumbnail…

Warfarin BarChart with Custom Axis

This bar chart tracks the decline of patients in the AF Well state within the Warfarin Line of Therapy 1 over advancing age, from 70 to 90 years. Each bar represents the cohort count at a specific age, showing a clear downward trend as the population ages. The visualization uses D3 v5 with SVG rendering, employing `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and `axisBottom` with a custom tick format. The chart also includes horizontal grid lines and a custom title, with data sourced from a CSV file containing 36 parsed numerical columns.

Ggregstaity

98% match

Loading thumbnail…

Warfarin BarChart with Custom Axis

This bar chart displays the changing number of patients in the AF Well health state within the Warfarin Arm Line of Therapy 1 cohort across simulated years, with age on the y-axis and cohort count on the x-axis. Using D3 v5, the visualization employs a `scaleLinear` for counts and `scaleBand` for age groups. The SVG rendering includes a custom x-axis with tick lines extending through the chart, while the y-axis removes domain and tick lines. Data is loaded via `d3.csv` from the provided CSV file, with all numeric fields explicitly parsed.

Ppratamamp

95% match

Loading thumbnail…

Warfarin BarChart

This bar chart shows how the AF Well Population cohort changes across several years in the PRIME model, plotting age bands on the y-axis and the number of individuals in the L1_AFWell state on the x-axis. The visualization uses D3 v5 to load CSV data and render an SVG, employing `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and `axisLeft` and `axisBottom` to generate the chart’s axes. Each bar’s height corresponds to the age category, while its width represents the population count.

Ggregstaity

88% match

Loading thumbnail…

Fork of Making a Barchart

This example displays a bar chart of blood pressure by patient age, using medical data from a CSV file with diabetes-related measurements. The visualization maps age to the x-axis with a linear scale and blood pressure to the y-axis with a band scale, rendering steel-blue rectangles. The code uses d3.csv to load the data, d3.scaleLinear and d3.scaleBand for scaling, and d3.axisLeft and d3.axisBottom to generate the axes, all drawn as SVG elements within a fixed-width container.

VVineela Reddy

71% match

Loading thumbnail…

Covid Vaers Bar chart

This bar chart visualizes hospital stay durations for COVID-19 vaccine adverse event reports, plotting patient ages on the x-axis against days hospitalized on the y-axis. Using D3 v6 with SVG rendering, the code employs `scaleBand` for the age categories and `scaleLinear` for the hospital days, while `axisBottom` and `axisLeft` generate the labeled axes. The visualization loads data from a local CSV file and initially parses numeric fields before rendering the static chart, with commented-out rect elements suggesting potential interactive hover animations that are not active.

Aarchob

68% match

Loading thumbnail…

Making a Bar Chart

This bar chart shows the population distribution across age groups (from 0-4 to 95+ years) for a given population. Using D3.js version 5, it employs `d3.scaleLinear` and `d3.scaleBand` to map population values and age categories to the x and y axes, respectively. The SVG includes axes via `d3.axisLeft` and `d3.axisBottom`, with bars rendered as `rect` elements filled in steel blue. The data is loaded from a CSV file containing country and population columns.

Ttkreglhn

68% match

Loading thumbnail…

Bar chart

A horizontal bar chart displays population counts across weekly periods from 2019-W31 to 2019-W35. The bars are drawn as green SVG rectangles using D3 v5’s `scaleBand` for the categorical y-axis and `scaleLinear` for the numeric x-axis, with `axisLeft` and `axisBottom` providing tick labels. Data is loaded from a local CSV file via `d3.csv`, and numeric values are coerced with unary plus. The visualization uses an SVG container with fixed margins, rendering the chart in a clean, minimal style.

GGeolffrey S Mena

68% match

Loading thumbnail…

bar viz for testing

This example visualizes death rates by year using a horizontal bar chart, with each bar’s length encoding the death count and the y-axis listing years. The chart is rendered as SVG using D3.js v5, primarily leveraging `d3.csv` to load data, `scaleLinear` for the x-axis, `scaleBand` for the y-axis, and `axisBottom`/`axisLeft` for tick generation. Data is sourced from a CSV file, and death values are multiplied by 1,000 before plotting. Styling is applied via CSS, setting bars to steelblue and customizing axis text.

Mmomopng

68% match